Applied Scientist Jobs
Applied Scientist jobs are open across technology, e-commerce, healthcare, and financial services, from new-grad to principal and staff levels, with specializations in machine learning, natural language processing, and computer vision. Find a role that fits from the openings below and apply directly.
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Showing 5 of 483+ Applied Scientist jobs
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 Scientist Jobs by Experience Level
Top Cities Hiring Applied Scientists
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Find Applied Scientist JobsApplied Scientist Job Market
Who's Hiring
- Amazon219
- Amazon Web Services59
- TikTok18
- Adobe14
- Apple13
Top Industries Hiring
- Technology & Software153
- Retail98
- E-Commerce & Online Marketplaces93
- Distribution & Wholesale22
- Electronics & Hardware8
What Employers Look For
The qualifications that appear most often in applied scientist jobs.
- Master's or PhD in computer science, statistics, machine learning, or a related quantitative field
- Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow
- Hands-on experience designing and deploying machine learning models in production environments
- Strong foundation in statistical modeling, experimentation design, and A/B testing methodology
- Experience working with large-scale distributed data systems using tools like Spark or SQL
- Ability to communicate model design decisions and trade-offs clearly to non-technical stakeholders
Tips for Your Applied Scientist Job Search
Show model impact with concrete metrics
Applied scientist resumes get cut when they describe experiments instead of outcomes. Reframe every project around what the model improved, reduced, or enabled in production, even if your contribution was one component of a larger pipeline.
Tailor your GitHub to the posting
Hiring teams for applied scientist roles read code, not just bullet points. Pin repositories that match the domain in the job description, whether that's recommendation systems, forecasting, or ranking, and keep README files detailed enough to stand alone.
Apply early to roles that fit
Migrate Mate lists applied scientist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings by modeling stack not title
Job titles vary wildly across companies. Search by tools like PyTorch, SageMaker, or Spark to surface roles that match your actual work, then confirm the title and level in the job description before applying.
Prepare a research narrative for system design rounds
Applied scientist interviews often include a system design component alongside coding. Practice explaining how you scoped a modeling problem, chose an approach, and handled failure modes, not just how you tuned hyperparameters.
Negotiate scope alongside compensation
Applied scientist offers frequently include discretion over research direction or product ownership. When you reach the offer stage, ask specifically what percentage of time maps to applied research versus feature delivery so expectations are explicit before you start.
Applied Scientist Jobs: Frequently Asked Questions
Which companies are hiring the most applied scientists?
The companies hiring the most applied scientists right now include Amazon, Amazon Web Services, and TikTok, with the largest share of openings in Washington, California, and New York, based on current listings on Migrate Mate as of August 2026. Demand is concentrated at technology platforms, e-commerce companies, and healthcare systems building internal ML capabilities.
How many applied scientist jobs are remote?
About 49% of applied scientist openings are fully remote or hybrid as of August 2026, making it one of the more flexible roles in the technology sector. Natural language processing and recommendation systems roles tend to skew most remote, while computer vision and robotics positions more often require on-site access to hardware or lab infrastructure.
How do you become an applied scientist?
Most applied scientists build a foundation through a graduate degree in machine learning, statistics, or computer science, followed by hands-on project work in a specific domain. Publish or contribute to open-source work that demonstrates you can take a model from research to production. Internships or research roles at technology companies help bridge academic experience with applied engineering expectations hiring managers look for.
Can you get an applied scientist job with little experience?
Entry-level applied scientist roles exist, but they typically expect a strong graduate-level research background even without industry experience. Demonstrating a complete project, from problem framing through deployed model, carries more weight than coursework alone. Focus on domains where your academic research overlaps with commercial applications, such as search, fraud detection, or demand forecasting, and apply to roles explicitly labeled as new-grad or university hire.
What does the applied scientist interview process look like?
Applied scientist interviews typically include a phone screen covering machine learning fundamentals, a coding round focused on data manipulation and algorithm implementation, and a technical presentation where you walk through a past project in depth. Later rounds often include a system design session focused on ML architecture and a cross-functional interview assessing how you collaborate with engineers and product managers to ship models.
Where can I find and apply to applied scientist jobs?
You can find and apply to applied scientist jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your specialization and experience level, then apply directly to each listing that fits.
See All 483+ Applied Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
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