Applied Scientist Advertising Trust jobs at Amazon in United States, San Diego

Key job responsibilities
* Design, build, and deploy machine learning models, frameworks, and data pipelines
* Optimize ML training, inference, and evaluation workflows for reliability and performance
* Evaluate and improve ML model performance and metrics
* Develop tools and infrastructure to enhance ML development productivity

* 3+ years experience building and deploying machine learning systems
* Experience with ML frameworks (e.g. PyTorch, TensorFlow) and ML orchestration tools
* Proven track record of improving ML systems, performance, and workflows

* Experience building and optimizing production-grade AI systems, e.g., for self-driving, simulation, or LLM applications
* Willingness to step outside typical role boundaries to get things done — every member of technical staff is expected to write code, design experiments, and interpret results
* Capacity to work autonomously and with a small team to drive research progressPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

NOTE: This position shall primarily support second shift operations (~1430hrs - 2230hrs). In future, there may be rotation with first shift operations.Key job responsibilities
- Actively support and foster a culture of inclusion.
- Own Process optimization and cost reduction initiatives for sustaining processes.
- Perform critical process reviews including Risk and Hazard assessments.
- Development and Validation of processes specific to NPI programs.
Benefits summary:1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- Bachelor’s degree in Mechanical Engineering, Industrial Engineering or related discipline.
- 5+ years’ experience in manufacturing environment and knowledge of GMP.
- Experience with Project Management tools.
- Experience in New Product Introduction environment including Phase-Gate process experience.
- Experienced CAD user, demonstrated capabilities in AutoCAD and SolidWorks.
- Experience using industry Problem Solving Tools such as 8D, Fishbone/Cause-Effect, or CAPA methodology.
- Experience using Quality & Statistical tools such as PFMEA, control charting, pareto, and histograms.
- Experience and proven skill in written and verbal business communications, organizational communications, reporting metrics.

- MBA or advanced Engineering degree preferred.
- Proven ability to manage and deliver projects with accelerated schedules.
- Proven analytical approach to problem-solving.
- Experience in manufacturing / process improvement (eg. Lean-Six Sigma).
- Experience with Manufacturing Execution Systems (MES), ERP systems, and Tool / Equipment programming.
- Self-motivated and able to solve problems independently and in team settings.
- Experience with Process Optimization Tools including Programming, Mapping, Simulation or various algorithms.

interviewing tips on Instagram, and discover projects we're solving on our Blog.About the RoleYou will report to the Applied Science Manager on the Community Discovery Team.You can work in San Francisco, CA or Seattle, WA.You Will- Develop ML algorithms for recommendations, ranking and search problems that can improve discovery on Twitch.

- BS or MS or PhD in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, with relevant industry experience. We welcome applicants with non-traditional backgrounds. We welcome applicants with non-traditional backgrounds.
- Hands-on experience with predictive modeling and analysis to solve real-world problems.
- Proficiency with Python and Deep Learning Frameworks such as PyTorch or Tensorflow, basic proficiency with SQL.

- MS/PhD in relevant fields or a Degree with a specialization in Machine Learning.
- Experience shipping your models to production.
- 1+ years of experience working in recommendations or search.
- Papers in top ML conferences of journals such as Neurips, Recsys, ICLR, ICML etc.
- Familiarity with Twitch, its business, and its community.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Key job responsibilities
- Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and generative AI for robotics
- Tackle challenging, groundbreaking research problems on production-scale data, with a focus on robotic perception, manipulation, and control

- Are enrolled in a Bachelor's degree or above
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language

- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of resultsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Key job responsibilities
You will contribute directly to AI agent development in a research management role: leading a research team, aligning their goals with the broader lab, mentoring team members, and hiring great people. You will be hired as a Member of Technical Staff.

- 2+ years' experience in formal management roles (i.e., with at least 3 direct reports)
- Expertise in machine vision, autonomous systems, natural language processing, or related AI/ML field
- Proficiency in Python, Java, C++, or related language
- Track record of successful projects in an applied research context

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Key job responsibilities
You will contribute directly to AI agent development in an applied research role, including model training, dataset design, and pre- and post-training optimization. You will be hired as a Member of Technical Staff.

- PhD degree in Computer Science or a related field
- Proficiency in Python, Java, C++, or related language
- Experience with deep learning methods and tools, e.g., PyTorch, JAX

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Key job responsibilities
- Use statistical and machine learning techniques and Generative AI to create scalable risk management systems- Design, development and evaluation of highly innovative models for risk management- Working closely with operations staff to optimize risk management operations
- Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation- Research and implement novel machine learning and statistical approaches

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience using Unix/Linux
- Experience in professional software development