Applied AI Engineer Jobs
Applied AI Engineer jobs are open across technology, healthcare, finance, and defense, from new-grad to principal and staff level, with specializations in LLM fine-tuning, MLOps, and multimodal systems. Find a role that fits from the openings below and apply directly.
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Build our future together:
At Regeneron, we use science and innovation to develop life-changing medicines for people with serious diseases. We're looking for a Distinguished Applied AI Scientist to join our new Enterprise Data & AI team. You'll act as the technical anchor connecting our scientific AI/ML engineering work with frontier technology evaluation. You'll bring deep expertise in foundation models and generative AI, and partner closely with Research and Preclinical Development scientists to deliver lasting impact. You'll help shape platform strategy, model evaluation standards, and how we adopt new AI capabilities. This role reports to the SVP, Chief AI Officer, and offers a chance to help define how a fast-growing, science-driven company builds and governs AI at scale.
When & where:
- Location: Tarrytown New York, Warren New Jersy, or Armonk New York
-
Work model/flexibility: 4 Days a week on-site
Discover your role:
- Partner with Research and Preclinical Development scientists to turn their needs into working AI/ML solutions
- Guide an embedded AI/ML engineering team on model development, evaluation, and deployment
- Design foundation model and generative AI solutions for drug discovery and computational biology
- Evaluate new AI models, tools, and platforms against Regeneron's scientific and business needs
- Build proof-of-concept projects to test promising technologies before wider rollout
- Track advances in AI research and turn them into clear, practical recommendations
- Support and grow the skills of engineers and applied scientists on the team
- Share findings and recommendations with technical and executive stakeholders alike
This role might be for you if you:
- Have 15+ years of experience in AI/ML research and engineering, with strength in foundation models and generative AI
- Enjoy turning complex research into guidance that platform, engineering, and product teams can use
- Have partnered with scientists or other domain experts to build real, production-grade AI/ML solutions
- Have compared and benchmarked new AI models or platforms against real-world use cases
- Communicate clearly with both technical teams and executive audiences
- Like connecting research breakthroughs to practical, everyday adoption
- Work well across teams that span research, engineering, and business
This role requires:
- An advanced degree in computer science, engineering, physics, or a related field, plus 15+ years of relevant experience
- Strong knowledge of deep learning architectures (CNNs, RNNs, GNNs, Transformers) and generative modeling methods (VAE, diffusion, flow-based, autoregressive)
- Hands-on experience with foundation model pre-training and scaling methods (FlashAttention, LoRA)
- Comfort with DL infrastructure and HPC frameworks (Lightning, Ray, FSDP, DeepSpeed)
- Proficiency in Python, with familiarity in common ML frameworks (PyTorch, scikit-learn)
Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.
Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process. If you have any questions, please speak with your recruiter.
Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed on‑site. Please speak with your recruiter and hiring manager for more information about on‑site expectations for your role and location.
As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.
For jobs in Canada: this posting is for an existing position.
Salary Range (annually)
Build our future together:
At Regeneron, we use science and innovation to develop life-changing medicines for people with serious diseases. We're looking for a Distinguished Applied AI Scientist to join our new Enterprise Data & AI team. You'll act as the technical anchor connecting our scientific AI/ML engineering work with frontier technology evaluation. You'll bring deep expertise in foundation models and generative AI, and partner closely with Research and Preclinical Development scientists to deliver lasting impact. You'll help shape platform strategy, model evaluation standards, and how we adopt new AI capabilities. This role reports to the SVP, Chief AI Officer, and offers a chance to help define how a fast-growing, science-driven company builds and governs AI at scale.
When & where:
- Location: Tarrytown New York, Warren New Jersy, or Armonk New York
-
Work model/flexibility: 4 Days a week on-site
Discover your role:
- Partner with Research and Preclinical Development scientists to turn their needs into working AI/ML solutions
- Guide an embedded AI/ML engineering team on model development, evaluation, and deployment
- Design foundation model and generative AI solutions for drug discovery and computational biology
- Evaluate new AI models, tools, and platforms against Regeneron's scientific and business needs
- Build proof-of-concept projects to test promising technologies before wider rollout
- Track advances in AI research and turn them into clear, practical recommendations
- Support and grow the skills of engineers and applied scientists on the team
- Share findings and recommendations with technical and executive stakeholders alike
This role might be for you if you:
- Have 15+ years of experience in AI/ML research and engineering, with strength in foundation models and generative AI
- Enjoy turning complex research into guidance that platform, engineering, and product teams can use
- Have partnered with scientists or other domain experts to build real, production-grade AI/ML solutions
- Have compared and benchmarked new AI models or platforms against real-world use cases
- Communicate clearly with both technical teams and executive audiences
- Like connecting research breakthroughs to practical, everyday adoption
- Work well across teams that span research, engineering, and business
This role requires:
- An advanced degree in computer science, engineering, physics, or a related field, plus 15+ years of relevant experience
- Strong knowledge of deep learning architectures (CNNs, RNNs, GNNs, Transformers) and generative modeling methods (VAE, diffusion, flow-based, autoregressive)
- Hands-on experience with foundation model pre-training and scaling methods (FlashAttention, LoRA)
- Comfort with DL infrastructure and HPC frameworks (Lightning, Ray, FSDP, DeepSpeed)
- Proficiency in Python, with familiarity in common ML frameworks (PyTorch, scikit-learn)
Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.
Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process. If you have any questions, please speak with your recruiter.
Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed on‑site. Please speak with your recruiter and hiring manager for more information about on‑site expectations for your role and location.
As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.
For jobs in Canada: this posting is for an existing position.
Salary Range (annually)
Applied AI Engineer Jobs by Experience Level
Top Cities Hiring Applied AI Engineers
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Find Applied AI Engineer JobsApplied AI Engineer Job Market
Who's Hiring
- JPMorganChase43
- Amazon Web Services41
- Amazon37
- Advanced Monitored Caregiving24A
- Apple20
Top Industries Hiring
- Technology & Software81
- Science & Research25
- Banking & Financial Services19
- Distribution & Wholesale16
- Electronics & Hardware14
What Employers Look For
The qualifications that appear most often in applied AI engineer jobs.
- Proficiency in Python with hands-on experience building and deploying machine learning models
- Experience with large language models and frameworks such as PyTorch, Hugging Face, or LangChain
- Familiarity with MLOps tooling including model versioning, monitoring, and CI/CD pipelines
- Bachelor's or master's degree in computer science, machine learning, or a closely related field
- Experience integrating AI models into production software systems via APIs or microservices
- Working knowledge of cloud platforms such as AWS, Google Cloud, or Azure for model serving
Tips for Your Applied AI Engineer Job Search
Tailor your resume to production depth
Hiring managers distinguish candidates who have deployed models in production from those who have only run experiments. Call out inference latency improvements, cost reductions, or uptime metrics from systems you owned end to end, not just notebooks you built.
Show your model evaluation methodology
Interviewers for applied AI roles probe how you measure whether a model actually works in the real world. Document your evals framework, the failure modes you caught before launch, and how you iterated, so you can speak to this concisely and specifically.
Target roles by tech stack, not just title
Applied AI engineer openings vary widely by stack. Filter by the tools you know best, whether that's LangChain, vLLM, or PyTorch with CUDA, so you apply where your day-one contribution is clearest to the hiring team reading your resume.
Apply early to roles that fit
Migrate Mate lists applied ai engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prep a system design answer for AI pipelines
Most applied AI interviews include a system design round specific to ML infrastructure. Practice walking through prompt chaining, retrieval-augmented generation retrieval flow, or batch inference architecture out loud, focusing on trade-offs rather than a single correct answer.
Negotiate on compute access, not just compensation
Applied AI engineers often find that GPU budgets and model API access affect their day-to-day more than title. Before accepting an offer, ask directly what compute resources the team uses and how new projects get resourced, so you can assess the role accurately.
Applied AI Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most applied ai engineers?
The companies hiring the most applied ai engineers right now include JPMorganChase, Amazon Web Services, and Amazon, with the largest share of openings in California, New York, and Washington, based on current listings on Migrate Mate as of August 2026. Demand is concentrated at companies actively building or integrating AI-powered products rather than conducting pure research.
How many applied ai engineer jobs are remote?
About 68% of applied ai engineer openings are fully remote or hybrid as of August 2026, making this one of the more flexible engineering roles in the market. Sub-areas with the highest remote share include prompt engineering, LLM integration, and retrieval-augmented generation work, where collaboration with on-site hardware is rarely required.
How do you become an applied ai engineer?
Build a strong foundation in Python and machine learning fundamentals, then move into hands-on projects that take a model from training through deployment. Focus on production experience, including API integration, monitoring, and evaluation frameworks. Contributing to open-source AI tooling and publishing documented project work signals to employers that you can ship, not just prototype.
Can you get hired as an applied ai engineer with little experience?
Yes, entry-level applied AI roles exist, but employers expect demonstrable project work even without professional experience. Build public repositories showing end-to-end pipelines, fine-tuned models, or RAG implementations with documented evals. Roles at startups building AI-native products and companies expanding AI teams often have more flexibility on years of experience than established enterprises do.
What does the applied ai engineer interview process look like?
Most processes include a recruiter screen, a technical phone interview covering Python and ML fundamentals, a take-home or live coding exercise focused on building or evaluating a model pipeline, and a system design round specific to AI architecture. Final rounds often include a presentation of past project work and a conversation about how you measure model quality in production.
Where can I find and apply to applied ai engineer jobs?
You can find and apply to applied ai engineer jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your skills and experience level, then apply directly to each one that fits.
See All 580+ Applied AI Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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