Sr. Applied Scientist Job at Amazon (Tokyo)

Sr. Applied Research Scientist

We’re looking for a Sr. Applied Research Scientist to lead efforts in building l...

Location

United States

Salary:

280000.00 - 380000.00 USD / Year

Runway

Expiration Date

Until further notice

Requirements

4+ years of relevant ML engineering or research experience in language models
Very strong programming skills and ability to write clean and maintainable research code
Deep interest in building human-in-the-loop systems for creativity
Passion for seeing research through from initial conception to eventual application
Experience mentoring and teaching other researchers
Strong communication, collaboration, and documentation skills

Job Responsibility

Lead efforts in building large language models and vision language models that power Runway’s research and tools, with a focus on multimodal capabilities and reasoning

Fulltime

Sr. Applied Research Scientist

We are building AI to simulate the world through merging art and science. We bel...

Location

United States

Salary:

280000.00 - 380000.00 USD / Year

Runway

Expiration Date

Until further notice

Requirements

4+ years of relevant ML engineering or research experience
Very strong programming skills and ability to write clean and maintainable research code
Deep interest in building human-in-the-loop systems for creativity
Passion for seeing research through from initial conception to eventual application
Experience mentoring and teaching other researchers
Strong communication, collaboration, and documentation skills

Job Responsibility

Lead efforts in pretraining the next generation of Runway’s multimodal models

Fulltime

Sr Data Scientist

We are offering an exciting opportunity for a Sr Data Scientist based in Plano, ...

Location

United States , Plano

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Proficiency in Data Mining Techniques
Must possess a deep understanding of Budget Processes
Should be highly skilled in Quantitative Analysis
Experience in Financial Modeling is highly desirable
Knowledge of SQL is a must
Proficiency in SAS is required
Must be adept at using Excel
Experience with Access is necessary

Job Responsibility

Apply advanced statistical analytics to assess future risks, opportunities, and effectiveness, translating results into solutions enhancing decision-making
Manage analytics regarding loan performance, including delinquency and credit losses, identify key drivers, and develop forecast expectations
Conduct innovative research projects, encapsulating project design, data collection and analysis, summarization of findings, and presentation of results
Utilize your skills in SQL, SAS, Excel, and Access to facilitate data analysis and financial modeling
Apply your knowledge of consumer lending business to produce advanced analytical material for discussions with cross-functional teams to understand complex business objectives and influence solution strategies
Interact with stakeholders to understand their business questions, craft methodologies to mine/analyze datasets, and deliver insightful recommendations
Use data mining techniques to explore and examine data from multiple disparate sources with the goal of discovering patterns and previously hidden insights
Participate in budget processes, providing quantitatively-backed recommendations and insights

What we offer

Access to top jobs
Competitive compensation and benefits
Free online training
Medical insurance
Vision insurance
Dental insurance
Life insurance
Disability insurance
401(k) plan

Fulltime

Sr Data Scientist

Location

India , Hyderabad

Salary:

Not provided

Genzeon

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience in developing and deploying Large Language Models, and Machine learning and working with Pytorch
A thorough understanding of machine learning, particularly deep learning techniques, including knowledge of neural network architectures, training methods, and optimization algorithms
Proficiency in AI technology, Python, including experience with NLP libraries (e.g., Hugging Face Transformers, NLTK, spaCy), text classification
Experience with frameworks: PyTorch, or Tensorflow
Experience with cloud services (AWS, Azure) and ML deployment tool Docker
Familiarity with model fine-tuning and optimization techniques for LLMs
Proven track record of innovative solutions in the field of LLMs
Strong communication skills, with the ability to explain complex AI concepts to non-expert audiences

Job Responsibility

LLM Architecture: Good understanding of the architecture underlying large language models, such as Transformer-based models and their variants. Design and implement deep learning model architectures using PyTorch
Language Model Training and Fine-Tuning: Experience in training large-scale language models from scratch, as well as fine-tuning pre-trained models on domain data
Data Preprocessing for NLP: Skilled in preprocessing textual data, including tokenization, stemming, lemmatization, and handling of different text encoding
Transfer Learning and Adaptation: Proficiency in applying transfer learning techniques to adapt existing LLMs to new languages, domains, or specific business needs
Data Annotation and Evaluation: Skills in designing and implementing data annotation strategies for training LLMs and evaluating their performance using appropriate metrics
Scalability and Deployment: Experience in scaling LLMs for production environments, ensuring efficiency and robustness in deployment
Model Training, Optimization, and Evaluation: Evaluate the performance of PyTorch models using appropriate metrics and techniques like cross-validation, holdout sets, or online evaluation. This encompasses the complete cycle of training, fine-tuning, and validating language models. You will be designing and adapting LLMs for use in virtual assistants, Information retrieval and extraction etc
Experimentation with Emerging Technologies and Methods: Actively exploring new technologies and methodologies in language model development, including experimental frameworks and software tools
LLM Alignment: Understanding of algorithms like DPO, PPO, KPO, RLHF and using it for guardrails
AI Data Retrieval: Data retrieval from unstructured data, extract key value pairs using techniques like donut, layoutLM, table transformers

Sr Research Scientist

Reporting directly to the Chief Science Officer, Peak Nano’s Sr. Research Scient...

Location

United States , Valley View

Salary:

Not provided

Peak Nano

Expiration Date

Until further notice

Requirements

Master’s degree in Polymer Science, Materials Science or a related engineering field
8+ years’ experience in polymer related fields
Experience with cast or blown extrusion of film and/or applications
Fundamental knowledge of polymer material science structure-property relationships, polymer rheology, film extrusion and film mechanical and transport properties
US Citizenship

Job Responsibility

Identify, capture, and lead targeted internal and external layered polymeric material development projects and a small project team to resolve technical challenges
Fundamental understanding of polymer structure-property relationships leveraged to evaluate new materials and technologies following the company new product development roadmap
Serve on multi-disciplinary project teams to collaborate, provide technical input, and deliver results aligned with team deliverables
Develop and implement technical solutions through hands-on experimentation / problem-solving of technical issues
Work seamlessly across groups, business partners, and customers to assist in scale-up new technology
Push boundaries to develop an understanding of the relationship between process and product performance
Consistently apply the scientific method in the planning and execution of experimental plans and problem solving to resolve concerns
Formulate hypotheses and develop experimental plans to test hypotheses
Demonstrate the appropriate use of statistical tools to solve complex problems
Lead by example in exhibiting appropriate safety and EH&S behaviors by promoting safe work habits

Fulltime

Sr Staff Data Scientist

The mission of the Data Science team at Mist is to leverage state-of-art ML and ...

Location

United States , San Jose

Salary:

148000.00 - 340500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

MS or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math, or a related quantitative discipline
Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc
3+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation
Proficient in coding, (preferably in Python) processing large-scale data sets and developing machine learning models
Able to communicate effectively in a variety of formats and collaborate with diverse teams

Job Responsibility

Research and develop statistical learning models for data analysis
Collaborate with product management and engineering departments to understand company needs and devise possible solutions
Keep up-to-date with latest technology trends
Communicate results and ideas to key decision makers
Implement new statistical or other mathematical methodologies as needed for specific models or analysis
Optimize joint development efforts through appropriate database use and project design

What we offer

Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
Personal and professional development programs
Inclusive workplace policies

Fulltime

Sr. Applied Scientist, Prime Video - Personalization and Discovery Science

Prime Video is a first-stop entertainment destination offering customers a vast ...

Location

United States , Sunnyvale; Seattle; New York

Salary:

167100.00 - 260000.00 USD / Year

Amazon

Expiration Date

Until further notice

Requirements

PhD, or Master's degree and 6+ years of applied research experience
5+ years of building machine learning models for business application experience
Experience programming in Java, C++, Python or related language

Job Responsibility

Develop AI solutions for various Prime Video Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods
Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end
Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses
Effectively communicate technical and non-technical ideas with teammates and stakeholders
Stay up-to-date with advancements and the latest modeling techniques in the field
Publish your research findings in top conferences and journals

What we offer

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
parental leave
sign-on payments
restricted stock units (RSUs)

New

Sr. Quantum Research Scientist

The Amazon Web Services (AWS) Center for Quantum Computing in Pasadena, CA, is l...

Location

United States , Pasadena

Salary:

159200.00 - 215300.00 USD / Year

Amazon

Expiration Date

Until further notice

Requirements

PhD in physics, applied physics, electrical engineering, or an equivalent degree in a similar field
5+ years of experience as an experimentalist in quantum computing
In-the-lab experience calibrating multi-qubit systems
Expertise in common qubit benchmarking and tomographic protocols (e.g. randomized benchmarking)
Proficient in a scientific programming environment
Experience successfully delivering on projects as part of a cross-team collaboration

Job Responsibility

Develop and test novel calibration and optimization tools for Quantum Error Correction on large scale quantum processors
Be a technical leader on a team of engineers and scientists at the frontier of quantum processor control and error correction
Develop & lead high-impact research projects that intersect with our engineering roadmap

What we offer

Sign-on payments
Restricted stock units (RSUs)
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
Parental leave

Fulltime

Sr. Applied Scientist

Amazon

Location:
Japan , Tokyo

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 16, 2026

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Sr. Applied Scientist

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Location:Japan , Tokyo

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Job Description:

Job Responsibility:

Requirements:

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Job Posted:February 16, 2026

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Location:
Japan , Tokyo

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Contract Type:
Not provided

Job Posted:
February 16, 2026