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Skills: Supervised Fine-Tuning, Reinforcement Learning, Knowledge Distillation, Large Language Models, Python
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$167k–$260k/yr
Full-time
postgraduate degree
Sign-on payments, Restricted stock units (RSUs), Medical insurance, Dental insurance, Vision insurance, Prescription insurance
Posted 54d ago
~40 hrs/week
Responsibilities
Develop state-of-the-art services and tools for the customization of Amazon Nova models, focusing on fine-tuning and reinforcement learning. Design and execute experiments to optimize model accuracy, latency, and cost for enterprise-ready applications.
Requirements
Requires a PhD or a Master's degree with 6+ years of applied research experience, plus 3+ years of building ML models for business. Proficiency in Python, Java, or C++ and deep learning methods is essential.
Full job description
The Artificial General Intelligence (AGI) Customization Team is seeking a highly skilled and experienced Applied Scientist to support adoption and enable customization of Amazon Nova. The role focuses on developing state-of-the-art services and tools for model customization, including supervised fine-tuning, reinforcement learning, and knowledge distillation across large language models.
As an Applied Scientist, you will play a important role in developing advanced customization capabilities that enable enterprises to build highly performant application-specific models without the need for training models from scratch. Your work will directly impact how companies leverage Amazon Nova models for their specific use cases.
Key job responsibilities - Contribute to the development of novel customization techniques including extended post-training, continued pre-training, and advanced knowledge distillation - Collaborate with cross-functional teams to design and implement enterprise-ready tooling for various training techniques on Amazon SageMaker - Design and execute experiments to optimize model accuracy, latency, and cost across different customization approaches (SFT, DPO, PPO) - Develop and enhance preference learning algorithms and training curricula for customer-specific applications - Create robust evaluation frameworks for assessing model performance across different domains and use cases - Contribute to the development of the Responsible AI toolkit, including creating training and evaluation datasets for model alignment - Design and implement secure access mechanisms for early model checkpoints and weights - Communicate technical insights and results to both technical and non-technical stakeholders through presentations and documentation
Basic Qualifications:
- 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning
Preferred Qualifications:
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc.
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.
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.
USA, CA, Sunnyvale - 192,200.00 - 260,000.00 USD annually USA, MA, Cambridge - 167,100.00 - 226,100.00 USD annually USA, WA, BELLEVUE - 167,100.00 - 226,100.00 USD annually
How much do Science & Research jobs in Massachusetts pay?
Based on 4344 listings with disclosed salaries, most science & research jobs in Massachusetts pay between $90k–$240k per year. Individual offers vary with seniority, company size, and specialization.
How many Science & Research jobs are open in Massachusetts right now?
There are currently 7,058 open science & research positions in Massachusetts listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Science & Research roles in Massachusetts?
Companies currently hiring include Mass General Brigham, Harvard Division of Medical Sciences, Takeda, Sanofi, Thermo Fisher Scientific, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Science & Research jobs in Massachusetts?
Yes — 2160 of the 7058 open science & research positions offer remote or hybrid work (464 remote, 1696 hybrid).
How do I apply for Science & Research jobs in Massachusetts?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.