Merck
From Merck's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
You'll also design and build reusable packages and component libraries to share across our broader team.
Senior Full Stack AI/ML Engineer
The Senior Full Stack AI/ML Engineer designs, builds, and scales the user interfaces, APIs, and backend services that power our team's Generative AI and Natural Language Processing (NLP) applications. Key focus areas will include engineering applications and APIs that enable users to search data, interact with AI outputs, and extract actionable insights. You'll also design and build reusable packages and component libraries to share across our broader team. These applications support critical use cases spanning early-stage scientific research to post-market surveillance, including systematic literature reviews, competitive intelligence, target identification, and safety monitoring.
You'll work directly alongside the data scientists and scientific subject matter experts who use your applications. You will have the autonomy to propose architectural directions, see your work streamline complex workflows, and ultimately help bring therapeutics to patients. As you grow, you'll have opportunities to expand into emerging areas, such as optimizing our APIs for large language model (LLM) tool calling and building connectors that integrate them into enterprise AI platforms. The position is embedded within a cross-disciplinary team of data scientists, bioinformaticians, and engineers dedicated to using cutting-edge AI/ML and data science techniques to drive drug discovery and development.
End-to-end delivery: Deliver features hands-on from user interface to backend logic with integrated data and AI capabilities, and drive development of complex initiatives
Requirements validation: Partner closely with stakeholders to clarify requirements and critically examine them for assumptions, feasibility, consistency, and completeness throughout the design lifecycle
Application standards: Shape modern application-layer patterns for UIs, APIs, and business logic across the team
Solution design: Write technical specifications that weigh architectural options, trade-offs, and risks, recommending the best-fit tools and approaches
Application quality: Ensure interfaces are accessible (compliant with Web Content Accessibility Guidelines, WCAG) and performant, and APIs are secure and observable, all backed by unit, integration, and component tests
Application ownership: Own, maintain, and support the team's production applications, proactively driving upgrades, bug resolution, and technical debt reduction
AI-enabled development: Integrate coding agents into team workflows, such as automated code review and fixes, test generation, and dependency upgrades, with appropriate human oversight
Knowledge building: Mentor team members through design discussions and constructive code reviews, and translate technical knowledge into clear, comprehensive documentation and onboarding materials
5+ years of professional software engineering experience, with a focus on full-stack or frontend-heavy application development
3+ years of experience building, scaling, and maintaining production-grade applications using React and TypeScript
Experience designing and building robust REST APIs in at least one backend language, combined with a working familiarity with Python
Exciting work in a great team, global projects, international environment
Opportunity to learn and grow professionally within the company globally
Hybrid working model, flexible role pattern
Competitive salary & incentive pay
Pension and health insurance contributions
Internal reward system and referral scheme
5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution
Cafeteria for tax free benefits according to your choice (meal vouchers, sport, culture, health, travel, etc.), Multisport Card
Vodafone, Raiffeisen Bank, Foodora, and discount programs
Up-to-date laptop and iPhone
Parking in the garage, showers, refreshments, massage chairs, library, music corner
In addition to building and maintaining our suite of tools, our team consults on how software capabilities, data products, and AI/ML can support the projects of our 5,000+ stakeholders (scientists, engineers, regulatory liaisons, data scientists, etc.) across our multi-national organization. We strive to enhance data science, NLP, and AI literacy across these groups.
As part of our work, our team has opportunities to coauthor internal and external presentations, white papers, manuscripts, and/or open-source code releases. We invest in your professional growth by providing access to specialized learning platforms, opportunities to attend industry conferences, participation in internal communities of practice, and the chance to learn the science of drug discovery and development directly from domain experts.
AI Systems, Amazon Web Services (AWS), API Design, Computer Science, Data Engineering, Generative AI, Git, GitHub, Machine Learning (ML), OpenSearch (Software), Product Engineering, Software Development, System Integration, Testing, TypeScript
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Current Contingent Workers apply HERE
Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
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