Mid Level Staff Applied Scientist Jobs
Mid level staff applied scientist jobs go to scientists ready to own research projects end to end, drive modeling decisions with limited oversight, and mentor junior colleagues across the team. Hiring is currently spread across on-site, remote, and hybrid settings in Technology & Software, Retail, and E-Commerce & Online Marketplaces, with employers like Amazon, SentiLink, and Target competing for applied scientists at this level now.
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DESCRIPTION
We’re working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. In this role, you will be developing Agentic Large Language Models (LLMs) and/or Vision Large Language Models (VLM) to unlock new shopping experiences. Experience with Reinforcement Learning (RL) and LLM Post-training is preferred. You’ll be working with talented scientists, engineers, product managers, and technical program managers to innovate on behalf of our customers. If you’re fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!
BASIC QUALIFICATIONS
- Master's degree or above in computer science, machine learning, engineering, or related fields
- 3+ years of building machine learning models or developing algorithms for business application experience
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs
PREFERRED QUALIFICATIONS
- Experience in professional software development
- Experience in LLM post-training (SFT and RL) is a plus
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
COMPENSATION
- The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, CA, Palo Alto - 171,600.00 - 222,200.00 USD annually
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
DESCRIPTION
We’re working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. In this role, you will be developing Agentic Large Language Models (LLMs) and/or Vision Large Language Models (VLM) to unlock new shopping experiences. Experience with Reinforcement Learning (RL) and LLM Post-training is preferred. You’ll be working with talented scientists, engineers, product managers, and technical program managers to innovate on behalf of our customers. If you’re fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!
BASIC QUALIFICATIONS
- Master's degree or above in computer science, machine learning, engineering, or related fields
- 3+ years of building machine learning models or developing algorithms for business application experience
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs
PREFERRED QUALIFICATIONS
- Experience in professional software development
- Experience in LLM post-training (SFT and RL) is a plus
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
COMPENSATION
- The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, CA, Palo Alto - 171,600.00 - 222,200.00 USD annually
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
See All 86 Mid Level Staff Applied Scientist Jobs
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Find JobsMid Level Staff Applied Scientist Job Market
Who's Hiring
- Amazon59
- SentiLink6
- Target3
- Amazon Web Services3
- Open Exchange Labs3
Top Industries Hiring
- Technology & Software30
- Retail23
- E-Commerce & Online Marketplaces19
- Distribution & Wholesale4
- Construction & Real Estate3
Mid Level Staff Applied Scientist Jobs: Frequently Asked Questions
How do I get a mid level staff applied scientist job?
Position yourself around ownership, not just contribution. Highlight projects where you led the modeling approach, made consequential design decisions, or delivered a system into production without heavy supervision. Recruiters at this level look for a portfolio of measurable outcomes, comfort with ambiguity, and evidence that you can communicate findings to both technical and non-technical stakeholders. Tailor your application to show those signals clearly.
Which companies hire mid level staff applied scientists?
Companies hiring mid level staff applied scientists right now include Amazon, SentiLink, and Target, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to come from product-driven technology companies, healthcare and life sciences organizations, and financial services firms that have embedded applied science teams building and iterating on production models.
Are there remote mid level staff applied scientist jobs?
Yes, though availability varies by employer and specialty. About 24% of mid level staff applied scientist openings are remote or hybrid as of November 2026, reflecting broad demand for experienced scientists who can collaborate effectively without being on-site full time. Hybrid arrangements are most common at larger organizations that maintain research or engineering hubs in specific metro areas.
How do I move up to a mid level staff applied scientist role?
The path runs through deepening specialization and demonstrated ownership over time. Early-career applied scientists move into mid level by going beyond assigned tasks, volunteering to lead components of larger projects, and building a record of shipping work that creates measurable impact. Gaining fluency in production systems, sharpening communication with cross-functional partners, and taking on informal mentorship of newer team members all signal readiness for mid level responsibility.
Which industries hire the most mid level staff applied scientists?
Mid Level staff applied scientist roles concentrate in Technology & Software, Retail, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they have scaled data infrastructure, ongoing model deployment needs, and enough scientific complexity to require professionals who can operate with real autonomy rather than close supervision.