Senior Applied Scientist, Foundation Model
About the role
thenwith combined prose. - Responsibilities: The "Key job responsibilities" bullet list. We'll make
- items.
- Requirements: Basic Qualifications list.
- Qualifications: Preferred Qualifications list.
- Skills: Possibly combine some skill mentions? The posting mentions programming languages, deep learning, etc. Could be part of Requirements. But we have separate Skills section maybe for specific skills like "computer vision, multimodal models, imitation learning / RL for robotics, or human-robot interaction". However those are in Basic Qualifications. Might be better to put them under Skills. But we need to avoid duplication. The instruction: Prefer a few substantive sections over many thin ones. We could combine Requirements and Qualifications into one section? But they ask to use headings for those categories if content exists. We'll include both.
- Benefits: The paragraph about benefits: health insurance, 401(k) matching, paid time off, parental leave, etc. Also mention sign-on payments and RSUs. That's substantive.
- Pay: The base salary range listed: "USA, CA, SAN FRANCISCO - 192,200.00 - 260,000.00 USD annually" and "USA, CA, Sunnyvale - 192,200.00 - 260,000.00 USD annually". Also mention sign-on payments and RSUs but that's compensation. We'll include Pay section with those ranges.
- Schedule: Not mentioned. No schedule info. So omit Schedule section.
We must not include placeholder like "commensurate with experience". Not present.
We need to remove boilerplate: EEO statements, LA County, San Francisco Fair Chance, accommodation link, etc. Also remove "Company - Amazon.com Services LLC Job ID: A10474288". Also remove "Learn more about our benefits at https://..." maybe keep benefits description but not the link? The instruction: remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The link to benefits might be considered application instruction? It's more info. Safer to remove the link but keep the description of benefits. The sentence: "Learn more about our benefits at https://amazon.jobs/en/benefits." That's a link; we can drop that sentence.
Also remove "If you have a disability..." accommodation paragraph.
Also remove "If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner."
Also remove "Amazon is an equal opportunity employer..." etc.
Also remove "Los Angeles County applicants: ..." and the Fair Chance paragraphs.
Also remove "Our inclusive culture empowers Amazonians..." maybe keep? It's somewhat fluff but not boilerplate? Might be considered generic. Safer to remove.
Now compile content.
About the role: Combine first few paragraphs up to "As a Senior Applied Scientist, you will develop and improve machine learning systems..." Actually that part is responsibilities. Let's separate.
About the role: The introductory paragraphs describing Amazon's robotics vision, foundation models, etc. Up to before "As a Senior Applied Scientist, you will develop..." We'll capture that.
Let's extract:
"Amazon is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine innovative AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models. We leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence. We are pioneering the development of robotics foundation models that: Enable unprecedented generalization across diverse tasks Integrate multi-modal learning capabilities (visual, tactile, linguistic) Accelerate skill acquisition through demonstration learning Enhance robotic perception and environmental understanding Streamline development processes through reusable capabilities The ideal candidate will contribute to research that bridges the gap between theoretical advancement and practical implementation in robotics. You will be part of a team that's revolutionizing how robots learn, adapt, and interact with their environment. Join us in building the next generation of intelligent robotics systems that will transform the future of automation and human-robot collaboration."
That's about the role.
Now Responsibilities: The bullet list after "Key job responsibilities As a Senior Applied Scientist in the Foundations Model team, you will:" We'll list each.
List items:
- Leverage state-of-the-art models for targeted tasks, environments, and robot embodiments through fine-tuning and optimization.
- Execute rapid, rigorous experimentation with reproducible results and solid engineering practices, closing the gap between sim and real environments.
- Build and run capability evaluations/benchmarks to clearly profile performance, generalization, and failure modes.
- Contribute to the data and training workflow: collection/curation, dataset quality/provenance, and repeatable training recipes.
- Write clean, maintainable, well commented and documented code, contribute to training infrastructure, create tools for model evaluation and testing, and implement necessary APIs
- Stay current with latest developments in foundation models and robotics, assist in literature reviews and research documentation, prepare technical reports and presentations, and contribute to research discussions and brainstorming sessions.
- Work closely with senior scientists, engineers, and leaders across multiple teams, participate in knowledge sharing, support integration efforts with robotics hardware teams, and help document best practices and methodologies.
Now Requirements (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
- 2+ years hands-on experience in deep learning with strength in at least one: computer vision, multimodal models, imitation learning / RL for robotics, or human-robot interaction
- Ability to design rigorous experiments, analyze results, and iterate quickly with reproducible baselines
- Demonstrated technical contributions (e.g., publications, patents, open-source, or impactful internal systems)
Now Qualifications (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.
Now Skills: Could we separate? The basic qualifications already include skills. Might be redundant. But we could create a Skills section highlighting specific technical skills: deep learning, computer vision, multimodal models, imitation learning/RL for robotics, human-robot interaction, programming languages Java/C++/Python, etc. However that duplicates. The instruction: Prefer a few substantive sections over many thin ones. So maybe we omit Skills section and keep Requirements and Qualifications. But they asked to use headings for Skills if content exists. We have content but it's overlapping. Could we merge Requirements and Qualifications into one "Requirements" section? But they'd like separate headings if content. I'd say we keep both Requirements and Qualifications as separate sections; Skills maybe not needed.
Benefits: Paragraph: "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." Also mention sign-on payments and RSUs earlier: "Your Amazon package will include sign-on payments and restricted stock units (RSUs)." We'll include that in Benefits or Pay? It's compensation. Could be part of Benefits. We'll include sign-on payments and RSUs in Benefits.
Pay: Base salary ranges: "USA, CA, SAN FRANCISCO - 192,200.00 - 260,000.00 USD annually" and "USA, CA, Sunnyvale - 192,200.00 - 260,000.00 USD annually". Also mention final compensation determined based on experience, qualifications, location. We'll include that.
Now ensure we don't include any boilerplate like "The base salary range for this position is listed below." We can keep that as part of Pay section prose.
Now produce HTML fragment:
About the role
...
Responsibilities
- ... ...
Requirements
-
...
Qualifications
-
...
Benefits
...
Pay
...
No Schedule. Make sure no extra whitespace? It's fine. Now craft the prose. About the role paragraph: combine as one paragraph maybe long but okay. Let's write:Amazon is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine innovative AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models. We leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence. We are pioneering the development of robotics foundation models that: enable unprecedented generalization across diverse tasks; integrate multi-modal learning capabilities (visual, tactile, linguistic); accelerate skill acquisition through demonstration learning; enhance robotic perception and environmental understanding; streamline development processes through reusable capabilities. The ideal candidate will contribute to research that bridges the gap between theoretical advancement and practical implementation in robotics. You will be part of a team that's revolutionizing how robots learn, adapt, and interact with their environment. Join us in building the next generation of intelligent robotics systems that will transform the future of automation and human-robot collaboration.
Now Responsibilities list. Now Requirements list. Now Qualifications list. Now Benefits paragraph:Your Amazon package will include sign-on payments and restricted stock units (RSUs). 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.
Now Pay paragraph:The base salary range for this position is $192,200.00–$260,000.00 USD annually for locations such as San Francisco, CA and Sunnyvale, CA. Final compensation will be determined based on factors including experience, qualifications, and location.
Make sure to use en dash or hyphen? Use hyphen.