דרושים Applied Scientist Brp Payment Risk Ml ב-אמזון ב-United States, San Diego

Your day will be filled with exciting challenges and opportunities to showcase your technical expertise. You’ll engage with Amazonians across various teams, owning and recognizing their unique IT needs and provide personalized high-quality support. You'll be a trusted advisor, a problem-solver, taking initiative to diagnose, troubleshoot and resolve a wide variety of specialized hardware and software issues implementing successful solutions. Our Engineers guide and empower technical and non-technical Amazonians through the ever-evolving digital landscape implementing solutions that fit their needs.Key job responsibilities
- Deliver on-site, high quality, hands-on support diagnosing, troubleshooting and resolving issues successfully, evaluating log files to determine the health of systems, software and hardware
- Assist with activities to triage and escalate system or network outages to reduce downtime
- Understand and execute change management activities in a high availability environment
- Participate with partner teams and vendors on continuous improvement projects, defining requirements and managing execution to deliver operational excellence and value
- Effectively manage and oversee IT asset inventories- Continuously expand skills, learning the latest technologies and maintaining knowledge of IT policies to provide technically accurate solutions
- Occasional travel required based on the needs of the business
- Participate in 24/7 on-call duty required for isolated high-severity incidents, serving as escalation point outside regular hours
A day in the life
Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) PlanLearn more about our benefits here:

- High school or equivalent diploma
- 2+ years of corporate setting Windows, Mac or Linux Operating systems support experience
- 2+ years of supporting and maintaining a corporate network environment experience
- 2+ years of troubleshooting in a multi-user high availability environment experience
- 2+ years of PC repair, troubleshooting, deployment and liquidation experience
- Excellent customer facing skills

- Bachelor's degree
- CompTIA A+, CompTIA Network+, Cisco/CCNA, Linux (Redhat), Microsoft hardware (installation), AWS, or other industry relevant certifications
- Experience supporting video conference and teleconference equipment
- Experience in Active Directory and Windows Server backup solutions
- Ability to write simple scripts in an administrative language
- Strong analytical skills with demonstrated problem solving abilities
- Proven ability to develop clear, concise change management and standard operating procedure (SOP) documentation

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.

In this role, you will work closely with research teams to design, build, and maintain systems for training and evaluating state-of-the-art agent models.Key job responsibilities* Evaluate performance of the training infrastructure, diagnose problems and address any gaps that exist.
* Develop reliable infrastructure to schedule training and model evaluation jobs across clusters.
* Work closely with researchers to create new techniques, infrastructure, and tooling around emerging research capabilities and evaluating models to meet customer needs.
* Manage project prioritization, deliverables, timelines, and stakeholder communication.
* Illuminate trade-offs, educate the team on best practices, and influence technical strategy.
* Operate in a dynamic environment to deliver high quality software.

5+ years of non-internship professional software development experience
5+ years of programming with at least one software programming language experience
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience as a mentor, tech lead or leading an engineering team

5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Bachelor's degree in computer science or equivalent
Excellent knowledge of theory and practice of MLPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

About the RoleYou Will- Design and build scalable infrastructure to train, deploy and manage ML models- Develop and automate software for ML workflows- Optimize cost and performance of training and inference workloads- Contribute to ML infrastructure roadmap planningPerks
* Medical, Dental, Vision & Disability Insurance
* 401(k)
* Maternity & Parental Leave
* Flexible PTO
* Amazon Employee Discount

- 3+ years of professional software development experience
- Experience designing and building scalable and easy-to-use ML infrastructure systems
- Experience productionizing, scaling or extending ML models to solve real world use cases
- Experience collaborating with ML platform consumers
- Excellent coding skills in modern languages and frameworks
- Experience with AWS technologies such as ECS, Sagemaker, Redshift, Batch, DynamoDB, Lambda, SQS, and Step Functions
- Minimum of Bachelor’s degree in Computer Science or equivalent experience

- Knowledge of supervised ML algorithms
- Experience in building and managing data platforms
- Familiarity with Twitch and/or streaming on TwitchPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.