ai researcher

Decompute

<div>
 
 
 Company Description
 
 
 
 
 
 Decompute is a pioneer in the development of AI models optimized for local environments, requiring as little as 1 GB of VRAM. Known for our BlackBird platform, which enables the creation of on-device AI agents, we specialize in areas such as finance, legal, coding, and creative tasks like voice and image generation. Our breakthrough multimodal AI models are renowned for outperforming cloud-dependent competitors, even while operating entirely offline on consumer-grade devices. With a model footprint as small as 350M parameters, Decompute&rsquo;s solutions are efficient, scalable, and tailored for CPUs and GPUs. Join us in revolutionizing on-device AI as we empower enterprises with next-generation advancements in technology.
 
 
 
 
 
 
 Role Description
 
 
 
 
 
 This is a full-time, on-site role located in Cupertino, CA, for an AI Researcher. The AI Researcher will lead cutting-edge research in artificial intelligence, focusing on the development and optimization of advanced models for on-device use. Daily responsibilities include conducting in-depth research, designing algorithms, implementing machine learning solutions, analyzing datasets, and collaborating with cross-functional teams to innovate and refine AI systems.
 
 
 
 
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 Strong foundation in ML and CS, including model architectures, programming and algorithm design
 </li>
 </ul>
 
 Experience training, evaluating, and improving advanced models in production or research settings
 
 <ul>
 <li>
 Experience in Research and implementation of AI-focused technologies
 </li>
 <li>
 Proficiency in Statistics for data analysis and model evaluation
 </li>
 <li>
 Strong problem-solving capabilities and aptitude for innovation
 </li>
 <li>
 Good communication skills for collaboration and presentation of research insights
 </li>
 <li>
 Experience with on-device AI or resource-efficient machine learning is a plus
 </li>
 <li>
 Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or related field preferred
 </li>
 </ul>
</div>

AI Researcher

Handshake

<div>
 
 About Handshake
 
 
 
 Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
 
 
 
 Why Join Handshake Now
 
 
 
 <ul>
 <li>
 Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel
 </li>
 <li>
 Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions
 </li>
 <li>
 Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others
 </li>
 <li>
 Build a massive, fast-growing business with billions in revenue
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 Untangling the science of Data &amp; Evaluations for Frontier AI
 
 
 Thanks to our massive network of the world&rsquo;s top experts in all domains, the demand for human data from Handshake AI has exploded (with revenue growing from 0 to well over 9-figures in the first year and growth only accelerating since). Now the world&rsquo;s top AI Labs are looking to Handshake for advice on how to leverage human expertise to make frontier models more useful for everyone, and we are forming a leading research group to advance the science of Data and Evaluations for AI.
 
 
 
 You Will
 
 
 
 <ul>
 <li>
 Publish papers, open source software, and do bleeding-edge open science on AI agents, LLMs and frontier multimodal models, RL environments, post-training.
 </li>
 <li>
 Work with all of the top AI Labs in the world and understand/shape what their researchers are prioritizing (uniquely, you get to work on research at a company whose customers are top AI researchers)
 </li>
 <li>
 Create public benchmarks that meaningfully measure AI progress, leveraging thousands of the world&rsquo;s top experts in different domains from the Handshake network to construct the most representative/high-quality benchmark.
 </li>
 <li>
 Shape the frontier of AI through high-impact research on topics that matter: how to measure/value data, how to effectively evaluate AI, what shapes of data are most effective as AI advances, what makes effective training/RL environments, post-training data recipes.
 
 
 </li>
 </ul>
 
 Desired Capabilities
 
 
 
 <ul>
 <li>
 Based in San Francisco, and excited to work in the office.
 </li>
 <li>
 Ph.D. in ML/AI, data science, or related fields.
 </li>
 <li>
 Publications in top AI/ML venues like NeurIPS, ICML, ICLR.
 </li>
 <li>
 Builders who love to tinker with LLMs/Agents and ship high-quality software, benchmarks/datasets, research, blogs.
 
 
 </li>
 </ul>
 
 Perks
 
 
 
 Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life.
 
 
 
 
 The below benefits are for full-time US employees.
 
 
 
 
 🎯
 
 Ownership:
 
 Equity in a fast-growing company
 
 
 💰
 
 Financial Wellness
 
 : 401(k) match, competitive compensation, financial coaching
 
 
 🍼
 
 Family Support:
 
 Paid parental leave, fertility benefits, parental coaching
 
 
 💝
 
 Wellbeing:
 
 Medical, dental, and vision, mental health support, $500 wellness stipend
 
 
 📚
 
 Growth:
 
 $2,000 learning stipend, ongoing development
 
 
 💻
 
 Remote &amp; Office:
 
 Internet, commuting, and free lunch/gym in our SF office
 
 
 🏝
 
 Time Off:
 
 Flexible PTO, 15 holidays + 2 flex days, winter #ShakeBreak where our whole office closes for a week!
 
 
 🤝
 
 Connection:
 
 Team outings &amp; referral bonuses
 
 
 Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.
 
 
 Compensation Range: $320K - $365K
 
 
</div>

AI Research Scientist

Visa

<div>Company Description 
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale &mdash; tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters &mdash; to you, to your community, and to the world.
Progress starts with you. 
Job Description 
At Visa, AI is central to our vision for the future of payments and commerce. We are committed to building enterprise-scale, responsible AI solutions that deliver measurable value for our clients, partners, and the global economy. The AI Center of Excellence (AI COE), part of the Global Data Office, is at the forefront of this mission&mdash;developing reusable AI/ML frameworks, enabling agentic AI workflows, and accelerating innovation across Visa&rsquo;s data science community.
The AI COE operates as both an enterprise capability builder and an AI SWAT team, tackling high-impact projects that address complex business challenges and create scalable, reusable solutions. From evaluating cutting-edge AI methods to deploying reusable frameworks in production, our mission is to improve efficiency, adoption, and business outcomes across Visa&rsquo;s global Data &amp; AI ecosystem.
We are seeking an AI COE Analyst to contribute to technically complex AI initiatives&mdash;from research and prototyping through deployment&mdash;while advancing reusable AI capabilities and accelerating adoption across Visa.
The AI COE Analyst will:<ul><li>
Design, develop, and deploy advanced AI/ML methods and agentic AI workflows that address high-value challenges across Visa.</li><li>
Contribute to the creation of reusable AI frameworks, components, and internal open-source assets for enterprise-wide adoption.</li><li>
Evaluate emerging AI/ML techniques, benchmark performance, and validate business impact using real Visa datasets and use cases.</li></ul>
Support the end-to-end delivery of AI COE projects, including:<ul><li>
Identifying and refining problem statements with stakeholders</li><li>
Prototyping advanced models, pipelines, and automation workflows</li><li>
Building high-quality, reusable code assets</li><li>
Ensuring production readiness and integration with enterprise systems</li><li>
Develop technical documentation, metadata, and best practices for validated AI methods.</li><li>
Contribute to quality assurance through code reviews, prompt engineering support, model evaluation frameworks, and benchmark design.</li><li>
Ensure compliance with governance, security, and Responsible AI standards in all AI COE outputs.</li><li>
Quantify and communicate impact using KPIs such as model accuracy, workflow efficiency gains, adoption metrics, and business value delivered.</li><li>
Collaborate with data scientists, ML engineers, product teams, and global partners to embed AI COE solutions into enterprise workflows and maximize adoption.</li><li>
Stay current on the latest AI frameworks, agentic AI patterns, and LLM ecosystems, rapidly evaluating and prototyping new methods for potential enterprise use.</li></ul>
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. 
Qualifications 
Basic Qualifications:<ul><li>
2 or more years of work experience with a Bachelor&rsquo;s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)</li></ul> 

Preferred Qualifications:<ul><li>
3 or more years of work experience with a Bachelor&rsquo;s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)</li><li>
2+ years of hands-on experience in AI/ML, data science, workflow automation, or applied machine learning research.</li><li>
Advanced degree in Computer Science, Data Science, Statistics, Business Analytics, Engineering, or a related quantitative field.</li><li>
Demonstrated experience delivering AI/ML models or agentic AI workflows in production or enterprise environments.</li><li>
Hands-on expertise with PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers, or similar frameworks.</li><li>
Experience with agentic AI tooling (e.g., LangChain, LlamaIndex) and multi-step workflow automation.</li><li>
Strong data engineering foundations, including Python, SQL, Spark, Databricks, Airflow, Kafka, or ETL/ELT pipelines.</li><li>
Familiarity with enterprise data systems, APIs, and MLOps (CI/CD, model monitoring, containerization).</li><li>
Ability to translate complex AI concepts into clear, actionable insights for technical and non-technical stakeholders.</li><li>
Understanding of AI governance, model evaluation, and Responsible AI practices.</li><li>
Experience working cross-functionally in a large, global organization.</li></ul> 

Additional Information 
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 5-10% of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 137,400.00 to 193,750.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.</div>

AI COE Analyst

Optimal Inc.

<div>Job Title: Agentic AI Developer
We are seeking a highly skilled Agentic AI Developer to support advanced R&amp;D initiatives focused on next-generation AI agents and conversational intelligence systems. This role centers on designing, building, and optimizing intelligent agent architectures powered by large language models (LLMs) and advanced reasoning frameworks.
The ideal candidate brings a strong blend of machine learning expertise, systems thinking, and hands-on experience with agent-based architectures, and thrives in a fast-paced, research-driven environment.
Key Responsibilities<ul><li>
Design and develop agentic AI systems using GPT-style and other large language model architectures</li><li>
Architect and optimize agent memory systems, including short-term, long-term, and retrieval-based memory</li><li>
Implement multi-step reasoning, planning, and chain-of-thought pipelines for complex problem solving</li><li>
Build scalable context management frameworks to support dynamic, multi-turn conversations</li><li>
Develop text-to-structured-data pipelines for automated knowledge extraction and workflow automation</li><li>
Collaborate with cross-functional R&amp;D teams to integrate agent-based solutions into innovative products and research initiatives</li><li>
Evaluate model performance and continuously improve accuracy, efficiency, and reasoning capabilities</li><li>
Document system designs, experiments, and technical findings</li></ul>
Required Qualifications<ul><li>
3-5 years of industry experience in AI/ML, LLM development, or agent-based systems</li><li>
Strong hands-on experience with large language models (prompt engineering, fine-tuning, evaluation)</li><li>
Experience building or working with agent frameworks, memory systems, or planning/reasoning architectures</li><li>
Solid understanding of context handling, retrieval-augmented generation (RAG), and optimization techniques</li><li>
Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow)</li><li>
Experience with tools and ecosystems such as vector databases, APIs, and distributed systems is a plus</li><li>
Strong problem-solving skills and ability to work in research-oriented, collaborative environments</li></ul>
Qualifications<ul><li>
Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field</li><li>
Experience contributing to research publications, open-source projects, or experimental AI platforms</li></ul></div>

Agentic AI Developer

General Motors (GM)

&lt;p&gt;&lt;b&gt;Job Description&lt;/b&gt;&lt;/p&gt;&lt;div&gt;&lt;/div&gt;&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;i&gt;At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We&rsquo;re turning today&rsquo;s impossible into tomorrow&rsquo;s standard &mdash;from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.&lt;/i&gt;&lt;br /&gt;&lt;i&gt;Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.&lt;/i&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;p&gt;&lt;/p&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;u&gt;&lt;span&gt;The Role&lt;/span&gt;&lt;/u&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;&lt;span&gt;We are seeking a&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;b&gt;&lt;span&gt;Computational Mechanics&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;and Computer Aided Design&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;Researcher&lt;/span&gt;&lt;/b&gt;&lt;span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;to join our&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;Design for&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;X (&lt;/span&gt;&lt;span&gt;DfX&lt;/span&gt;&lt;span&gt;) team within Research &amp;amp; Development. In this role, you will help shape the future of engineering design by developing&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;AI powered&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;tools embedded directly into&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;our CAD workflow (&lt;/span&gt;&lt;span&gt;Siemens NX&lt;/span&gt;&lt;span&gt;)&lt;/span&gt;&lt;span&gt;, enabling engineers to create designs that are&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;optimized&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;for performance, manufacturability, and quality before production begins.&lt;/span&gt;&lt;/span&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;&lt;span&gt;This position sits at the intersection of computational geometry, mechanics, and artificial intelligence, translating advanced research into practical,&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;CAD native&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;engineering capabilities used at scale.&lt;/span&gt;&lt;/span&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;&lt;span&gt;Joining&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;R&amp;amp;D&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;will provide you with the opportunity to work on&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;cutting-edge&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;technologies, contribute to innovation, and collaborate with a diverse team of experts. You will play a key role in advancing our capabilities and ensuring that our&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;products&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;are at the forefront of the industry&lt;/span&gt;&lt;span&gt;.&lt;/span&gt;&lt;/span&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;p&gt;&lt;u&gt;&lt;span&gt;What You&amp;#39;ll Do&lt;/span&gt;&lt;/u&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;&lt;span&gt;Develop computational geometry and mechanics algorithms&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;that reason&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;directly on CAD models to support design evaluation and optimization. &lt;/span&gt;&lt;/span&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;div&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;&lt;span&gt;Research and prototype&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;AI&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;assisted&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;generative design workflows that combine&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;data driven&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;methods with physics and&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;geometry aware&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;reasoning. &lt;/span&gt;&lt;/span&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;div&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;&lt;span&gt;Build&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;CAD integrated&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;solutions within Siemens NX to enable pushbutton analysis, design exploration, and manufacturability checks. &lt;/span&gt;&lt;/span&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;div&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;&lt;span&gt;Design and&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;validate&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;methods that balance&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;learning based&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;approaches with deterministic evaluation, ensuring results are explainable and repeatable. &lt;/span&gt;&lt;/span&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;div&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;&lt;span&gt;Collaborate with&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;cross functional&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;partners in R&amp;amp;D, Manufacturing,&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;Product&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;Engineering&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;and&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;IT&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;to transition research concepts into scalable engineering tools. &lt;/span&gt;&lt;/span&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;div&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;&lt;span&gt;Communicate research outcomes through technical reports, demonstrations, and presentations to engineering and leadership audiences.&lt;/span&gt;&lt;/span&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;p&gt;&lt;u&gt;&lt;span&gt;Your Skills &amp;amp; Abilities (Required Qualifications):&lt;/span&gt;&lt;/u&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;&lt;span&gt;PhD in Mechanical Engineering, Computer Science, Applied Mathematics, Computer Graphics, or&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;a related field&lt;/span&gt;&lt;span&gt;. &lt;/span&gt;&lt;/span&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;div&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;&lt;span&gt;OR&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;MS&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;Mechanical Engineering, Computer Science, Applied Mathematics, Computer Graphics, or a related field&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;and&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;2&lt;/span&gt;&lt;span&gt;&amp;#43; years of&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;equivalent experience.&lt;/span&gt;&lt;/span&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;div&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;&lt;span&gt;Strong background in computational mechanics, numerical methods, or simulation&lt;/span&gt;&lt;span&gt;-&lt;/span&gt;&lt;span&gt;driven design. &lt;/span&gt;&lt;/span&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;div&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;&lt;span&gt;Expertise in&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;computational geometry or computer graphics, such as surface representations, geometry processing, feature detection, or geometric optimization. &lt;/span&gt;&lt;/span&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;div&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;&lt;span&gt;Proficiency&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;in Python and/&lt;/span&gt;&lt;span&gt;or C&lt;/span&gt;&lt;span&gt;/&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;C&lt;/span&gt;&lt;span&gt;#&lt;/span&gt;&lt;span&gt;/C&amp;#43;&amp;#43; for algorithm development and research prototyping. &lt;/span&gt;&lt;/span&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;div&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;&lt;span&gt;Experience applying machine learning to engineering or geometry&lt;/span&gt;&lt;span&gt;-&lt;/span&gt;&lt;span&gt;centric problems. &lt;/span&gt;&lt;/span&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;div&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;&lt;span&gt;Ability to design rigorous experiments and&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;validate&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;results using&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;appropriate&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;engineering&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;metrics. &lt;/span&gt;&lt;/span&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;div&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;&lt;span&gt;Strong written and verbal communication skills&lt;/span&gt;&lt;/span&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;p&gt;&lt;u&gt;&lt;span&gt;What Will Give You&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;A&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;Competitive Edge (Preferred Qualifications):&lt;/span&gt;&lt;/u&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;&lt;span&gt;Experience developing CAD or CAE integrations, particularly with Siemens NX or similar platforms. &lt;/span&gt;&lt;/span&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;div&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;&lt;span&gt;Familiarity with DFX, manufacturability analysis, or CAD&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;based checking tools. &lt;/span&gt;&lt;/span&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;div&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;&lt;span&gt;Experience combining&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;physics&lt;/span&gt;&lt;span&gt;-&lt;/span&gt;&lt;span&gt;based&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;simulation with AI, such as surrogate modeling or&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;physics informed&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;ML. &lt;/span&gt;&lt;/span&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;div&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;&lt;span&gt;Background in&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;manufacturing related&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;mechanics (e.g., forming, joining, structural performance). &lt;/span&gt;&lt;/span&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;div&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;&lt;span&gt;Publication or patent record in computational mechanics, geometry processing, or&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;AI&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;for&lt;/span&gt;&lt;span&gt;&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;engineering. &lt;/span&gt;&lt;/span&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;div&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;&lt;span&gt;Experience turning research prototypes into tools used by non&lt;/span&gt;&lt;span&gt;expert engineers.&lt;/span&gt;&lt;/span&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;/div&gt;&amp;amp;#xa;&amp;amp;#xa;GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).&amp;amp;#xa;&amp;amp;#xa;This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.&amp;amp;#xa;&amp;amp;#xa;This job may be eligible for relocation benefits.&amp;amp;#xa;&amp;amp;#xa;&lt;p&gt;&lt;b&gt;About GM&lt;/b&gt;&lt;/p&gt;&lt;p&gt;Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Why Join Us&lt;/b&gt; &lt;/p&gt;&lt;p&gt;We believe we all must make a choice every day &ndash; individually and collectively &ndash; to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Benefits Overview&lt;/b&gt;&lt;/p&gt;&lt;p&gt;From day one, we&amp;#39;re looking out for your well-being&ndash;at work and at home&ndash;so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting &lt;a target=&quot;_blank&quot; href=&quot;https://search-careers.gm.com/en/working-at-gm/total-rewards&quot;&gt;&lt;span class=&quot;emphasis-3&quot;&gt;&lt;b&gt;Total Rewards resources&lt;/b&gt;&lt;/span&gt;&lt;/a&gt;.&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Non-Discrimination and Equal Employment Opportunities (U.S.)&lt;/b&gt;&lt;/p&gt;&lt;p&gt;General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. &lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit &lt;a target=&quot;_blank&quot; href=&quot;https://search-careers.gm.com/en/how-we-hire&quot;&gt;&lt;span class=&quot;emphasis-3&quot;&gt;&lt;b&gt;How we Hire&lt;/b&gt;&lt;/span&gt;&lt;/a&gt;.&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Accommodations&lt;/b&gt;&lt;/p&gt;&lt;p&gt;General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, &lt;a target=&quot;_blank&quot; href=&quot;mailto:Careers.Accommodations&amp;#64;GM.com&quot;&gt;&lt;span class=&quot;emphasis-3&quot;&gt;&lt;b&gt;email&lt;/b&gt;&lt;/span&gt;&lt;/a&gt;&lt;b&gt; &lt;/b&gt;us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.&lt;/p&gt;&lt;p&gt;&lt;/p&gt;

Computational Mechanics and Computer Aided Design Researcher

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
**This is an experimental role to support a business pilot and can potentially span up to 12 months** 
 
Embark on a transformative journey as our Expert Consultant, where intellectual rigor meets technological innovation. As an Expert Consultant, you will blend your advanced analytical skills and domain expertise to provide strategic oversight to our human-in-the-loop and model-in-the-loop data pipelines. You will also provide mentorship and guidance to junior team members. Your responsibilities will ensure data excellence through strategic oversight of high-quality data output, while delivering expert consultation throughout the pipeline and fostering iterative development. This position directly impacts the effectiveness and reliability of our AI solutions by maintaining the highest standards of data quality throughout the development process while building capability within the broader team. 
 
Key job responsibilities 
<ul><li>Serve as a trusted domain advisor to cross-functional teams, providing strategic direction and specialized problem-solving support
</li><li>Champion domain knowledge sharing across multiple channels and teams to maintain data quality excellence and standardization
</li><li>Drive collaborative efforts with science teams to optimize output of complex data collections in your domain expertise, ensuring data excellence through iterative feedback loops</li><li>Foster team excellence through mentorship and motivation of peers and junior team members
</li><li>Make informed decisions on behalf of our customers, ensuring that selected code meets industry standards, best practices, and specific client needs</li><li>Collaborate with AI teams to innovate model-in-the-loop and human-in-the-loop approaches, to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more.
</li><li>Stay abreast of the latest developments in how LLMs and GenAI can be applied to your area of expertise to ensure our evaluations remain cutting-edge.</li><li>Develop and write demonstrations to illustrate &quot;what good data looks like&quot; in terms of meeting benchmarks for quality and efficiency</li><li>Provide detailed feedback and explanations for your evaluations, helping to refine and improve the LLM's understanding and output</li></ul></div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>2+ years of data scientist experience</li><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>1+ years of guiding and coaching a group of researchers experience</li><li>1+ years of working with or evaluating AI systems experience</li><li>1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience</li><li>Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)</li><li>Experience applying theoretical models in an applied environment</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)</li><li>Knowledge of machine learning concepts and their application to reasoning and problem-solving</li><li>Experience in Python, Perl, or another scripting language</li><li>Experience in a ML or data scientist role with a large technology company</li><li>Experience in defining and creating benchmarks for assessing GenAI model performance</li><li>Experience working on multi-team, cross-disciplinary projects</li><li>Experience applying quantitative analysis to solve business problems and making data-driven business decisions</li><li>Experience effectively communicating complex concepts through written and verbal communication</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits. 
USA, MA, Boston - 136,000.00 - 184,000.00 USD annually 
USA, WA, BELLEVUE - 136,000.00 - 184,000.00 USD annually</div>

Expert Consultant- STEM (Contract), AGI - Data Services

MASTER-WORKS

<div>Responsibilities<ul><li>
Solve real-world Computer Vision problems using cutting-edge techniques.</li><li>
Design and implement robust, industry-grade algorithms.</li><li>
Utilize OpenCV, Python, and deep learning frameworks for model training.</li><li>
Work with deep learning libraries such as Keras, TensorFlow, and PyTorch.</li><li>
Develop integrations with internal and external microservices.</li><li>
Implement deployment practices using Docker, Kubernetes, and model compression techniques.</li><li>
Research the latest technologies and develop proof of concepts (POCs).</li><li>
Build and train state-of-the-art deep learning models for:</li><li><ul><li>
Object Detection (Mandatory)</li><li>
Segmentation</li><li>
Classification</li><li>
Object Tracking</li><li>
Visual Style Transfer</li><li>
Generative Adversarial Networks (GANs)</li></ul></li><li>
Collaborate with researchers and engineers to develop and deploy Computer Vision solutions.</li><li>
Plan and execute Computer Vision research projects, defining scope, objectives, and deliverables.</li><li>
Provide specialized technical and scientific research support for ongoing and new AI initiatives.</li></ul> 

Requirements 
Required Skills<ul><li>
C++ (Mandatory)</li><li>
Python (Mandatory)</li><li>
Image Processing (Mandatory)</li><li>
Computer Vision (Mandatory)</li><li>
Deep Learning (Mandatory)</li><li>
Object Detection</li><li>
Machine Learning</li><li>
Pattern Recognition</li><li>
Artificial Intelligence (AI)</li><li>
Data Science</li><li>
Generative Adversarial Networks (GANs)</li><li>
Flask</li><li>
SQL</li></ul></div>

SDE-1 (Computer Vision Engineer)

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