22 Predictive Models jobs in Ireland

About Us:
We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We're driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.
How We Work:
At Proofpoint, you'll be part of a global team that breaks barriers to redefine cybersecurity, guided by our BRAVE core values: Bold in how we dream and innovate, Responsive to feedback, challenges, and opportunities, Accountable for results and best-in-class outcomes, Visionary in future-focused problem-solving, Exceptional in execution and impact.
Corporate Overview
Proofpoint is a leading cybersecurity company protecting organizations' greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber-attacks. Leading organizations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most critical risks across email, the cloud, social media, and the web.
We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. That's why we're a leader in next-generation cybersecurity.
Protection Starts with People. Proofpoint.
**The Role**
Proofpoint is looking for a Machine Learning Scientist to join the Algo team within the Tessian Business Unit. In this role, your key responsibility will be to analyse data, build ML models and improve algorithms at the core of our email threat detection engine that protects some of the largest businesses in the world. You will collaborate with Product and Engineering teams to identify and solve the most impactful problems applying state-of-the-art machine learning tools and techniques. You'll be surrounded by incredibly smart, talented and friendly colleagues. Engineers at Tessian love to learn from each other and pull together as a team to succeed.
*This is a Hybrid role; Cork or Belfast.
**Your day-to-day**
-Wrangle and draw meaningful insights from massive amounts of unstructured textual data using the latest tools and technologies like Spark, Iceberg, Athena, AWS SageMaker
-Apply unsupervised learning algorithms across billions of email interactions to identify emerging threat patterns
-Work with state-of-the-art machine learning models and techniques like encoder-decoder transformers, LLMs, anomaly detection as well as classical ML models to solve a multifaceted problem
-Engineer new features, train and deploy models to production using AWS SageMaker as the MLOps platform
-Adopt a data-driven approach to identify gaps in our detection algorithms and propose improvements to our models and algorithms
-Promote and drive ML best practices and cultivate an environment of experimentation and learning
-Stay up to date with the latest advancements in machine learning, AI technologies, and incorporate them into our solutions where applicable
**What you bring to the team**
Essential
- Proficiency in Python with the ability to write clean, well-structured, and maintainable code for data analysis, modeling and experimentation
- Experience contributing to multiple highly impactful machine learning projects with proven results
-Hands-on experience in the NLP domain involving training, fine-tuning and productionising transformer-based models for text classification / text-embeddings (experience with LLMs, generative AI is a plus)
-Experience monitoring and maintaining performance of models over time in production considering model/data drifts In-depth experience with one or more deep neural network frameworks (e.g. PyTorch, Tensorflow, JAX)
-A creative mindset, propensity to care deeply about the impact their team has and to encourage novel ways of critical thinking in their team
Good to have
-Conceptual understanding of Graph Neural Networks and experience applying GNNs to solve real world problem statements will be a plus
-Experience working on large imbalanced datasets, evaluating and selecting models that work well in production on imbalanced real-world data
Why Proofpoint
Protecting people is at the heart of our award-winning lineup of cybersecurity solutions, and the people who work here are the key to our success. We're a customer-focused and a driven-to-win organization with leading-edge products. We are an inclusive, diverse, multinational company that believes in culture fit, but more importantly 'culture-add', and we strongly encourage people from all walks of life to apply.
We believe in hiring the best and the brightest to help cultivate our culture of collaboration and appreciation. Apply today and explore your future at Proofpoint! #LifeAtProofpoint
#LI-Hybrid
Why Proofpoint? At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you'll love working with us:
- Competitive compensation
- Comprehensive benefits
- Learning & Development: We are committed to the growth and development of our team members, offering a range of programs including leadership and professional development workshops, stretch project assignments, and mentoring opportunities to help employees reach their full potential.
- Flexible work environment: (Remote options, hybrid schedules, flexible hours, etc.).
- Annual wellness and community outreach days
- Always on recognition for your contributions
- Global collaboration and networking opportunities
Our Culture:
Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone. We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to . How to Apply Interested? Submit your application here . We can't wait to hear from you!
Proofpoint has been honored with six Best Places to Work Awards in 2024 by workplace culture leader Comparably, including Best Company Career Growth, Best Company Outlook, Best Global Culture, Best Engineering Teams, Best Sales Teams, and Best HR Teams.
We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We're driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.
Our BRAVE Values:
At Proofpoint, we are BRAVE in everything we do, and our values aren't just words-they shape how we work, collaborate, and grow.
We seek people who are bold enough to challenge the status quo, responsive in the face of ever-evolving threats, and accountable for delivering real impact.
We value those with a visionary mindset who anticipate what's next and push cybersecurity forward, and we celebrate exceptional execution that ensures we continue to defend data and protect people.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
Find your network, your allies, and your biggest fans. We know that work is simply better when you're surrounded by people who inspire you-who share ideas, cheer you on, and genuinely want to see you succeed. That's why we offer social circles, sponsored networks, and connection points across teams and time zones-to help you find your people, build your community, and thrive together.
This isn't just a job-it's a mission to protect people and defend data in a world that never slows down. We're building the future of human-centric cybersecurity, and that future belongs to all of us. We take ownership, move fast, and hold ourselves accountable-because that's what it takes to stay ahead. And we do it together, winning as one.
Be empowered to reach your full potential through meaningful challenges and personalized support-designed around you and your goals. Whether you're growing as a leader or leveling up from great to exceptional as an individual contributor, we're here to help you get there.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.

CVS Health, the parent company of Signify Health, is increasing investments in digital, data, analytics and technology and Signify Health is excited to be involved! We are hiring for a dynamic new initiative for CVS Health that will run out of our state-of-the-art offices at Bonham Quay. This is your opportunity to be involved with a pioneering business that is transforming health care in the United States by making customer experiences more seamless, convenient and personalised. CVS Health is focused on driving business agility and growth through technology, data, digital and experiential innovations. 'Digital First, Technology Forward and Data Driven' is not simply an aspirational goal for the company, but a prerequisite to accelerated growth. Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. As we reflect on our learnings and successes from remote work, we aim to provide a new state of the art flexible work environment in our Galway facility at Bonham Quay to support those objectives. Careers with offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to divide their time between our Galway office and their home office. Position Summary The ML Engineer, part of the broader Retail Analytics Engineering department, supports the Price Value & Assortment Analytics organization in the development of AI/ML driven analytical solutions at scale. The ML Engineer will actively collaborate with Data Scientists to successfully optimize, and scale complex ML models & optimizer solvers that enable highly dynamic & sophisticated pricing and promotion strategies. The incumbent in this role will have the opportunity to work on challenging business problems leveraging cutting-edge technologies including Big Data, Distributed Computing, and Machine learning. Key job duties include: Partner with data scientists to train, optimize, scale and support AI/ML models. Translating functionality into scalable, tested, and configurable platform architecture and software. Ensure models are integrated into production systems with high reliability and performance. Design and conduct experiments to evaluate the performance of machine learning models. Iterate on models based on feedback and evolving business requirements. Build frameworks, reusable modules, and author best practices and standards to enable self-serve capabilities that enable data scientists to deploy solutions quickly and efficiently. Required Qualifications: 3+ years professional experience in implementing ML and Data Engineering at scale. 3+ years of experience with Python & SQL programming language. 3+ years' experience with working in Dev/ML Ops model and industry deployment best practices using CI/CD tools and infrastructure as a code (e.g., Jenkins, Docker, Kubernetes). 3+ years of experience in building cloud native analytical solutions, either on Azure or GCP. 1+ years designing, implementing, and optimizing machine learning algorithms and models using open-source machine learning frameworks such as TensorFlow, PyTorch, and XGBoost. 1+ years' experience in end-to-end ML implementation lifecycle including feature engineering, training, inference, model drift measurement, and model observability. 1+ years' experience in building data engineering pipelines, and metric aggregation layers. Preferred Qualifications: Experience working in Retail domain with a strong functional understanding of product pricing and promotion strategies is a plus. Experience in Google Cloud platform including Big Query, Vertex AI. Hands-on experience working in scalable distributed computation frameworks like Spark or Dask. Expertise with working with open-source ML platforms & toolsets such as Kubeflow, Airflow and Feast is preferred. Experience in deploying supervised machine learning, time series modeling, CNNs, ensemble models. Exposure to deploying ML optimization models such as Pyomo/ IPOPT. Exposure in implementing Gen AI and/or NLP based solutions using LLMs. Education: Bachelor's degree in computer science or equivalent. Master's degree preferred. To Apply Please forward your CV via the APPLY Now button below.

Staff Machine Learning Engineer - Pricing

We're looking for a senior-level Machine Learning Engineer to lead the development of advanced pricing optimisation systems that directly impact millions of global users. This is a high-visibility role, supporting strategic business goals and backed by executive sponsorship. The ideal candidate will combine deep technical expertise in machine learning and optimisation with strong product intuition and the ability to deliver production-ready solutions in a dynamic, collaborative environment.

This role focuses on building intelligent pricing and promotion solutions that maximise business value while maintaining a seamless customer experience. You'll be part of a multidisciplinary team driving key business outcomes through data science, software engineering, and applied machine learning.

Key Responsibilities

Lead the design and implementation of ML models for pricing elasticity, cannibalisation analysis, and multi-period promotional planning.

Develop and deploy time-series forecasting models to estimate product demand across markets and product categories.

Build optimisation workflows (e.g., with OR-Tools) to balance growth objectives with business constraints.

Enhance clustering algorithms for product grouping and similarity detection, improving pricing strategies.

Own the full ML lifecycle-from feature engineering and model training to validation, deployment, and performance monitoring.

Apply a wide range of machine learning and deep learning techniques (e.g., classification, regression, time series, uplift modeling).

Partner with product managers, analysts, and other engineering teams to translate business problems into scalable ML solutions.

Collaborate with systems engineering teams to support the seamless integration of ML models into production environments.

Mentor junior engineers and contribute to the overall technical vision and ML/AI strategy.

Play a key role in shaping product and technology roadmaps through thought leadership and technical expertise

Please note the role will require travel to Dublin 1-2 times a month, which will not be expensed

If you can't see what you're looking for right now, send us your CV anyway - we're always getting fresh new roles through the door.

**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Lead Machine Learning Engineer
Overview:
We are seeking a highly skilled and forward-thinking Machine Learning Engineer to lead the development and deployment of scalable machine learning systems that drive innovation and deliver measurable impact across the business. This role involves building robust ML pipelines, optimizing model performance, and collaborating with cross-functional teams to integrate intelligent solutions into production environments. The ideal candidate combines deep technical expertise with strong engineering discipline and a passion for solving real-world problems.
Role:
Responsible for developing machine learning-driven analytical solutions and identifying opportunities to support business and client needs in a scalable and automated manner, facilitating informed recommendations and decisions. Activities include designing and deploying ML models, building end-to-end pipelines, conducting performance analyses, ad hoc reporting, and developing ML-powered data visualizations.
In this position, you will:
Lead complex initiatives and projects to build and deploy ML systems that solve critical business questions and automate decision-making processes
Translate client/stakeholder needs into machine learning solutions in collaboration with internal and external partners and present findings and outcomes to clients/stakeholders
Identify rich data sources and oversee the integration, cleaning, and transformation of datasets to ensure consistency and readiness for ML applications
Deliver high-quality ML solutions and tools within agreed-upon timelines and budget parameters and conduct post-implementation reviews
Guide others to develop sophisticated ML models and engineering solutions (e.g., recommendation systems, anomaly detection engines, predictive maintenance tools) utilizing supervised, unsupervised, and reinforcement learning techniques
Delegate and review work for junior-level colleagues to ensure downstream applications and tools are not compromised or delayed
Serve as a technical coach for junior-level colleagues and develop technical talent via ongoing technical training, peer review, and mentorship
All about you:
Proven experience designing, building, and deploying machine learning systems in production
Strong proficiency in Python and ML frameworks such as Scikit-learn, TensorFlow, PyTorch
Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes)
Solid understanding of ML algorithms, model evaluation, feature engineering, and data preprocessing
Experience with complex neural network architectures and transformer-based models (e.g., BERT, GPT, ViTs) is strongly preferred
Familiarity with MLOps practices including CI/CD, model monitoring, and automated retraining
Excellent communication and stakeholder management skills
Demonstrated ability to mentor and grow technical teams
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Senior Machine Learning Engineer
Overview:
We are seeking a highly skilled and experienced Senior Data Scientist to design, build, and optimize scalable machine learning systems that deliver measurable impact across the business. This role involves developing robust ML pipelines, deploying models to production, and applying advanced techniques to solve complex problems. The ideal candidate is a hands-on technical expert with deep knowledge of machine learning, software engineering, and data infrastructure.
Role:
Responsible for developing machine learning-driven analytical solutions and identifying opportunities to support business and client needs in a scalable and automated manner, facilitating informed recommendations and decisions. Activities include designing and deploying ML models, building end-to-end pipelines, conducting performance analyses, ad hoc reporting, and developing ML-powered data visualizations.
In this position, you will:
Lead complex technical initiatives to build and deploy ML systems that solve critical business questions and automate decision-making processes
Translate business and stakeholder requirements into scalable machine learning solutions and collaborate with engineering and data teams to implement them
Identify rich data sources and oversee the integration, cleaning, and transformation of datasets to ensure consistency and readiness for ML applications
Deliver high-quality ML solutions and tools within agreed-upon timelines and budget parameters and conduct post-implementation reviews
Develop sophisticated ML models and engineering solutions (e.g., recommendation systems, anomaly detection engines, predictive maintenance tools) using supervised, unsupervised, and reinforcement learning techniques
Apply best practices in software engineering, including version control, testing, and continuous integration, to ensure reliability and maintainability of ML systems
Optimize model performance and scalability through hyperparameter tuning, feature selection, and efficient deployment strategies
All about you:
3 - 5 years proven experience designing, building, and deploying machine learning systems in production environments
Strong proficiency in Python and ML frameworks such as Scikit-learn, TensorFlow, PyTorch
Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes)
Solid understanding of ML algorithms, model evaluation, feature engineering, and data preprocessing
Experience with complex neural network architectures and transformer-based models (e.g., BERT, GPT, ViTs) is strongly preferred
Familiarity with MLOps practices including CI/CD, model monitoring, and automated retraining
Strong problem-solving skills and ability to work independently on technically challenging projects
Excellent communication skills and ability to collaborate effectively with cross-functional teams
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

Senior Machine Learning Engineer Location: Dublin Salary: € Hybrid Reperio have partnered with a large e-commerce company who are undergoing major expansion plans within their Data & AI team. As they expand our AI initiatives, they're looking for a Senior Machine Learning Engineer to join them in building robust, scalable ML systems that drive real impact for their users. You will own and evolve their ML infrastructure whilst leading the technical direction for ML projects. Requirements: 5+ years of industry experience in machine learning, data science, or applied AI. Strong coding skills in Python and deep experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Solid understanding of ML algorithms, statistical modelling, and evaluation techniques. Experience deploying models to production (e.g., via Docker, Kubernetes). Strong knowledge and experience working with AWS cloud stack. Proficiency in data handling and preprocessing with tools like Pandas, Spark, or SQL. Ability to communicate complex technical topics clearly to both technical and non-technical stakeholders. Nice to Have: Experience with MLOps platforms (e.g., MLflow, SageMaker, Vertex AI). Background in deep learning, LLMs or NLP. Benefits: Pension Healthcare Bonus Stock options If this role as an ML Engineer interests and suits you, then apply using the link below. If you require any further information, get in touch with Jamie Sadlier at Reperio. Reperio Human Capital acts as an Employment Agency and an Employment Business. Skills: Senior ML Engineer Python AWS NLP Dublin Hybrid

Aviva is seeking a talented and drivenPricing Machine Learning Engineer to join our Personal Lines Insurance Pricing Team. This is a key role in shaping the future of pricing for Motor and Home Insurance, helping us maintain our position as a market leader through innovation, fairness, and technical excellence. Duties & Responsibilities: Build Machine Learning White Box models for Motor and Home Insurance pricing. Create innovative new rating factors to be the first of their kind in Irish or UK Insurance Tailor the rating approach to autonomous vehicles and electric cars Develop new automated optimisers to optimise profit in fair ways. Streamline feature engineering scripts to produce rating factors aiming for efficiency and simplicity. Skills & Experience: Previous experience working in General or Life Insurance isessential. A degree in a quantitative discipline (e.g., Data Science, Machine Learning, Actuarial Science) Strong command of machine learning techniques and their application in real-world pricing problems. Proficiency in SQL for data extraction and manipulation. Excellent communication skillscomfortable presenting technical insights to both technical and non-technical stakeholders. What will you get for this role? Competitive market leading salary depending on skills, experience, and qualifications. Generous pension (employee contribution matching of up to 14% if you contribute 8%) Annual performance related bonus and pay review. Holiday allowance of 25 days plus bank holidays, and the option to buy/sell up to 5 additional days. Generous Health & dental insurance contributions after six months Aviva Matching Share Plan and Save As You Earn scheme and Approved Profit Share Scheme Cycle to Work benefit scheme. TaxSaver Travel Scheme Family friendly parents (matching paternity and maternity leave) and carers leave. Up to 40% discount for some Aviva products plus discounts for Friends and Family Employee Assistance Programme Volunteering days Professional qualification support and transparent career progression plans Aviva is for Everyone Our diversity and inclusion policies and initiatives are shaping an environment where everyone feels welcome regardless of age, disability, race, ethnicity, gender, gender identity, religion, culture, sexual orientation, national origin, marital status, pregnancy, maternity or those with other caring responsibilities. Our approach helps to ensure that Aviva is a place which values difference and provides equal opportunities for all. We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working spending around 50% of their time in our offices every week - combining the benefits of flexibility, with time together with colleagues.

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Job Description: Essential Responsibilities: Lead the development and optimization of advanced machine learning models. Oversee the preprocessing and analysis of large datasets. Deploy and maintain ML solutions in production environments. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models, making necessary adjustments. Minimum Qualifications: Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience. Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Preferred Qualification: MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) Proficiency in SQL, Python and relevant ML frameworks, packages, and tools Experience with developing machine learning models at scale from inception to business impact Experience in designing ML pipelines, including model versioning, model deployment, model testing, and monitoring Experience working in a multi-cultural and multi-location organization - an advantage Team player, responsible, delivery-oriented, details-oriented Outstanding communication skills Subsidiary: PayPal Travel Percent: 0 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit . Who We Are: Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply. PayPal is on a mission to revolutionize commerce globally. We're driving our company, industry, and society forward with vision and velocity. With our commitment to excellence, innovation, and talent, the possibilities are limitless. Learn more at Learn more about privacy-related questions or data retention. 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Company:

0603 PayPal Europe Services Limited

Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years):

Senior (5+ years of experience)

Tagged as: Industry , Ireland , Machine Learning , NLP

Company Overview

Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people's lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign's Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the company in e-signature and contract lifecycle management (CLM).

What you'll do

Docusign is looking for a passionate and experienced Engineering Manager to lead a team of machine learning engineers in building industry-leading state-of-the-art AI/ML solutions. You will guide your team through all aspects of the AI/ML feature life cycle, leveraging expertise in NLP and document understanding. You will be responsible for overseeing the development and deployment of production-level machine learning models that deliver more personalized and automated customer experiences throughout the Docusign Agreement Platform.

This position is a People Manager role reporting to the Director of Docusign.

Responsibility
• Lead and mentor a team of machine learning engineers in model development, deployment, testing, and evaluation of existing and emerging deep learning methods and technologies that can be effectively applied to the contract domain
• Guide the team in applying the latest architectures and technologies to build Docusign IP and solve complex NLP challenges including, but not limited to, generating representations, text understanding, semantic retrieval, contextual extractions, and summarization
• Foster a deep understanding within the team of the technologies, methods, and architecture within Docusign product development
• Define, improve, and assist the team with existing model training, evaluation, and online inferencing processes, establish online metrics, and design user feedback mechanisms for our AI/ML features
• Collaborate closely with engineering partners to deploy models into production, build scalable AI systems, and monitor and improve performance metrics
• Work closely with Product Management to translate user scenarios and product requirements into designs and plans for robust, customer-agnostic machine learning solutions

Job Designation

Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)

Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.

What you bring

Basic
• Bachelor's degree in computer science, physics, statistics, econometrics, operations research, applied mathematics or an equal computational field
• Minimum of 6-8 years of relevant professional experience with a Bachelor's degree; 5-7 years with a Master's degree; or 5+ years with a PhD, or equivalent combination of education and experience
• Experience in leading and managing machine learning engineering teams
• Experience in the research, development, fine-tuning, and deployment of large language models (e.g., GPT, Llama, etc.) in production environments
• Understanding of LLM architectures, tokenization, attention mechanisms, prompt engineering, and transfer learning
• Familiarity with standard processes for optimizing LLM performance, efficiency, safety, and alignment

Preferred
• Demonstrated experience developing and deploying large scale document understanding models in production
• Experience with pre-training and/or supervised fine-tuning of transformer-based models using large-scale datasets
• Experience in the latest NLP techniques including LLMs and language representations
• Experience in text extraction techniques, especially using OCR and direct extraction from docx, images, and pdfs
• Strong desire to stay ahead of industry trends & technologies with a commitment to continuous learning
• Extensive experience in data collecting, cleaning, sampling, and processing large, diverse structured or unstructured datasets

Life at Docusign

Working here

Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what's right, every day. At Docusign, everything is equal.

We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you'll be loved by us, our customers, and the world in which we live.

Accommodation

Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at .

If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at for assistance.

Applicant and Candidate Privacy Notice

Company:

Docusign

Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years):

Senior (5+ years of experience)

Tagged as: Industry , Ireland , Language Modeling , Machine Learning , NLP , OCR