ai research engineer

capital.com

<p><b>Responsibilities:</b></p>
<ul>
<li>Prompt Engineering &amp; Orchestration: Craft, iterate, and optimize prompts for APIs (OpenAI, Cohere, Anthropic). Build multi-step "chains" using LangChain, LlamaIndex, or custom controllers. Develop and maintain AI microservices using Docker, Kubernetes, and FastAPI, ensuring smooth model serving and error handling;</li>
<li>Vector Search &amp; Retrieval: Implement retrieval-augmented workflows: ingest documents, index embeddings (Pinecone, FAISS, Weaviate), and build similarity search features.</li>
<li>Rapid Prototyping: Create interactive AI demos and proofs-of-concept with Streamlit, Gradio, or Next.js for stakeholder feedback;</li>
<li>MLOps &amp; Deployment: Implement CI/CD pipelines (e.g., GitLab Actions, Apache Airflow), experiment tracking (MLflow), and model monitoring for reliable production workflows;</li>
<li>Cross-Functional Collaboration: Participate in code reviews, architectural discussions, and sprint planning to deliver features end-to-end.</li>
</ul>

AI Product & Research Engineer

New York University

<div></div><div><div><div><div><div><div>New York University: NYU - Global: Abu Dhabi: AD_Engineering: AD_General Engineering
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>Abu Dhabi, UAE
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Nov 10, 2025
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><div><p>The Embodied AI and Robotics (AIR) Laboratory in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a Senior Research Engineer to advance applied research in artificial intelligence and robotics. The successful applicant will contribute to cutting-edge research and development in Embodied AI, with a focus on integrating AI-driven perception, reasoning, and action to enable intelligent robotic behavior across diverse real-world environments. The position involves working on embodied intelligence systems that combine vision-language-action (VLA) modeling, robotic perception and interaction, and autonomous task execution. The Senior Research Engineer will play a key role in bridging algorithmic innovation and robot deployment, leading experimental design, system integration, and evaluation on real robotic platforms. The Embodied AI and Robotics Lab (AIR) develops intelligent robotic systems capable of understanding, learning, and acting in complex, dynamic settings. The team works at the intersection of computer vision, multimodal learning, and robotics to create next-generation embodied agents that interact naturally and safely with humans and their environments. The lab operates in close collaboration with NYU&rsquo;s global network, including NYU New York, and provides a dynamic, interdisciplinary environment involving faculty, postdoctoral researchers, engineers, and students.</p>
<p>
Applicants must hold a PhD in Computer Science, Robotics, Electrical Engineering, or a related field, or have equivalent research and development experience. Strong technical expertise in one or more of the following areas is required:</p>
<ul>
<li>Embodied AI and robot learning</li>
<li>Vision-language-action (VLA) modeling</li>
<li>Perception, control, and interaction for real-world robotic systems</li>
<li>Deep learning, multimodal learning, or large-scale AI systems</li>
</ul>
<p>Demonstrated experience in robot deployment, experimentation, and applied AI development is essential. The successful candidate is expected to work collaboratively within a multidisciplinary team and contribute to both research innovation and system implementation.</p>
<p>
For consideration, applicants should submit a cover letter, curriculum vitae, transcript, statement of research and technical interests, and and three references, all in PDF format. For further information, please contact Prof. Yi Fang, Director of the Embodied AI and Robotics Lab, at [yfangl@nyu.edu].</p>
<p>
The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, a one-page summary of research accomplishments and interests, and at least 2 letters of recommendation, all in PDF format. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply. If you have any questions, please email: mrasras@nyu.edu.</p>
</div>
<p><b><i>About NYU Abu Dhabi</i></b><br>
https://nyuad.nyu.edu/en/
<br>
NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.</p>
<p>
NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.</p>
<p>
UAE Nationals are encouraged to apply.</p></div>
</div>
</div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Application Process
</b></h3><div>This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.</div></div></div></div></div></div><p></p>

Senior Research Engineer in the Division of Engineering – Dr. Yi Fang

Mindstorm Studios

<ul><li>Dec 31, 2025</li><li>
Lahore, Pakistan</li><li>
Full-time</li><li>
Engineering</li></ul>
<br><div><p><b>About Us</b></p>
<p>Mindstorm Studios is a pioneer in designing, developing, and marketing top-tier games and interactive entertainment enjoyed by millions globally. Since our founding in 2006, we have consistently delivered high-quality products. As partners with Lion Studios, one of the world&rsquo;s leading mobile game publishers, our games have been downloaded over 300 million times worldwide, including global hits like <b>Hexa Sort</b>, <b>Super Salon</b>, <b>Flick Pool</b>, and <b>Alliance Wars</b>.</p>
<p>Headquartered in San Francisco with development operations in Lahore, we are always on the lookout for the brightest talents in game development. We aim to empower our team to create world-class, #1 games.</p><br>
<p></p>
<p><b>About the Role</b><br>
We&rsquo;re looking for a highly curious and research-oriented AI/ML Engineer to join our Central Tech team. If you have a solid engineering foundation, love solving difficult problems, and have a strong desire to build and experiment with AI models. You will be collaborating with cross-functional teams to innovate, optimize, and deliver scalable AI-driven systems.</p>
<p>You will work on cutting-edge ideas like <b>AI-assisted level generation</b>, <b>content automation</b>, <b>ML-based analysis tools</b>, and <b>prototyping intelligent systems</b> that improve the game production pipeline.</p>
<p><b>What You&rsquo;ll Do</b></p>
<ul><li>Build and experiment with AI/ML models for games.</li>
<li>Design and implement advanced ML models and optimization techniques for high performance AI solutions.</li>
<li>Analyze data, engineer features, and improve model accuracy.</li>
<li>Develop tools/bots to automate game workflows.</li>
<li>Collaborate with designers, developers, and software engineers.</li>
<li>Debug and monitor AI systems post-deployment.</li>
<li>Explore new AI trends and bring innovative ideas to the studio.</li>
<li>Follow best practices for testing, documentation, and version control.</li>
</ul>
<p><b>What We&rsquo;re Looking For</b></p>
<ul><li>Strong CS fundamentals and problem-solving skills.</li>
<li>Good Python skills (mandatory).</li>
<li>Comfortable exploring research, experimenting, and building prototypes.</li>
<li>Ability or willingness to work with Unity.</li>
<li>Knowledge of deep learning architectures and optimization techniques.</li>
<li>Strong understanding of algorithms, data structures, and optimization methods.</li>
<li>Good to have: Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Keras, or Scikit-learn.</li>
</ul>
<p><b>Why You Should Join Us</b></p>
<ul><li>Work on exciting AI projects for mobile games</li>
<li>Freedom to explore, research, and build prototypes</li>
<li>A collaborative environment where learning is encouraged</li>
<li>Opportunity to contribute to innovative tools</li>
<li>A rare chance to work at the intersection of <b>AI + Game Development</b>
</li>
</ul><p><b>What We Offer</b></p>
<ul><li><b>Exposure</b>: Work alongside the best in the global game industry.</li>
<li><b>Culture</b>: A dynamic and progressive work environment with a flat hierarchy. You'll take ownership of your goals while receiving full support from your team.</li>
<li><b>Time-Off</b>: 5 weeks of paid vacation annually, along with wedding/paternal leave and paid sick leave.</li>
<li><b>Comprehensive Benefits</b>: Provident fund, full healthcare (in-patient &amp; out-patient), fuel allowance, subsidized lunches, fitness allowance, gadget discounts, and yearly bonuses.</li>
<li><b>Perks</b>: Regular HR events, team lunches, movie nights, monthly birthday celebrations, company retreats, and games/sports competitions, and much more!</li></ul><br>
<p><br>
<b>Disclaimer</b></p>
<p>Mindstorm Studios is an equal opportunity employer. We celebrate diversity and are committed to fostering an inclusive environment. All hiring, promotion, discipline, and discharge decisions are based on merit, competence, and performance.</p></div>

Software Engineer (AI/ML)

Microsoft

<div><b>Overview</b><p><br>
The Power Apps team at Microsoft is dedicated to empowering every person and every organization on the planet to build delightful apps that solve business problems. Our mission is to democratize App development with Copilot First experiences putting AI Solutions, powerful Azure technologies in the hands of citizen developers, enabling them to create solutions that are low code without the need for subscriptions and hosting. PowerApps is part of Power Platform which also includes Power Automate, Copilot Studio Agents and Power Virtual Agents, which work together to help users analyze data, automate processes, and build custom applications tailored to business needs.</p><p>
We are looking for Research Engineer II to join our team! In the Power Apps Studio team, we are creating a new generation of low-code/no-code app development in the AI Era. Our goal is to make app building easy, fun and collaborative exercises that delight app makers with AI assisting users in every step in their journey. The Studio framework empowers developers define their requirements, data model, build User Interface, define logic, tests, deploy and monitor the app in production. We are researching and exploring solutions to leverage AI at every step of the app development process. We are a highly collaborative group, and everyone's ideas and contributions count. As an Research Engineer on the team, you will be responsible for conducting applied research that solves real world problems with building apps and solutions.</p><p>
Successful candidates will collaborate with cross-functional teams to influence product design and technical architecture, maintain end to end lifecycle of AI/ML solutions and operate Copilot features in production. We operate in an agile, data-driven and fast-paced environment, where engineers and scientists are empowered to innovate and take ideas from concept to scale. This is an exciting time to join Power Apps where we are rebuilding the platform with Copilot first experiences. We aim to build the state-of-the-art solutions for building apps and simplifying development processes. This is a great opportunity to work on challenging problems in the App Development space which will revolutionize the industry.</p><p>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p><b><br>
Responsibilities</b><p><br>
The team consists of highly motivated, innovative, customer-focused applied scientists and engineers partnering regularly with Product Managers and Designers. Our team works in an agile start-up like environment where we expect each team member to think out of the box to contribute and collaborate towards the mission of the team.</p><p>
As part of this team, you would get exciting opportunities to work on novel experiences &amp; cutting edge technologies across a variety of platforms to build the next generation application development experiences.</p><ul><li>
 Conduct applied research to develop innovative AI and machine learning models that address real-world challenges.</li><li>
Develop end-to-end lifecycle of machine learning models, from prototyping and implementation to evaluation, deployment, and monitoring.</li><li>
Create and adapt novel training and fine-tuning algorithms for language models.</li><li>
Bring research projects to successful completion yielding new algorithms, prototypes, theories, tools, methods, analyses, insights, or collections of data which solve one or more open research problems.</li><li>
Document and share best practices across the organization.</li><li>
Stay up-to-date with the latest advancements in AI and machine learning, and apply new techniques to solve complex problems.</li><li>
Embody our Culture and Values</li></ul><br>
<b>
Qualifications</b><p><br>
Required Qualifications:</p><ul><li>
Bachelor's Degree in Computer Science, or Machine Learning or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python<ul><li>
OR equivalent experience.</li></ul></li><li>
1+ years experience working with LLM (Large Language Model) and Prompt Engineering.</li></ul><p>
Other Requirements:</p><p>
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:</p><ul><li>
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><p>
Preferred Qualifications:</p><ul><li>
Experience working on successful applied research projects in industry environments .</li><li>
Experience programming with Python, Typescript, C# (any) is preferred.</li><li>
An applicant with the following skills or relevant experience would be a plus:<ul><li>
Applications of Foundation Models, Domain Adaptation of Foundation Models (e.g. fine-tuning LLMs/SLMs</li><li>
Vision, Audio, and Multimodal Foundation Models - Agentic Systems</li><li>
Prompt Tuning</li><li>
Natural Language Processing</li><li>
Human-AI Interaction</li></ul></li></ul><p></p><p><br>
 #BICJOBS</p><br>
<br>
<br>
<p>Research Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.
</p><p></p><p>Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:<br>
https://careers.microsoft.com/us/en/us-corporate-pay</p><p><br>
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about <b>requesting accommodations.</b></p></div>

Research Engineer II

DNEG

<div><h3 class="jobSectionHeader"><b>About the Role</b></h3><p>
We are looking for a passionate and experienced Generative AI Engineer to design, implement, and scale intelligent AI agents and applications. You will work on architecting agentic systems powered by LLMs, retrieval-augmented generation (RAG), and reasoning frameworks. The ideal candidate is someone who stays current with the fast-evolving GenAI ecosystem and can transform advanced research into production-grade solutions.</p><p>
 <b>Key Responsibilities</b></p><ul><li><p>
Architect, build, and deploy <b>agentic AI systems</b> using frameworks such as <b>LangGraph, Google ADK,Autogen</b>,<b> Semantic Kernel, CrewAI</b>, and <b>LangChain</b>.</p></li><li><div>
Design and implement <b>RAG pipelines</b> leveraging vector databases (OpenSearch, Pinecone, FAISS, or Weaviate).</div></li><li><div>
Develop modular and reusable <b>AI agent architectures</b> for dynamic reasoning and tool orchestration.</div></li><li><div>
Integrate and fine-tune <b>foundation models</b> (GPT, Claude, Gemini, Mistral, Llama, etc.) for domain-specific tasks.</div></li><li><div>
Work with APIs, embeddings, and context optimization for large-scale AI workflows.</div></li><li><div>
Collaborate with platform, data, and product teams to ensure robust integration and deployment.</div></li><li><div>
Implement observability, performance tracking, and continuous evaluation of model and agent behavior.</div></li><li><div>
Stay up to date with the latest research and open-source developments in <b>LLMs, agents, and cognitive frameworks</b>.</div></li><li><p>
Mentor and guide junior engineers on prompt design, agent architecture, and optimization techniques.</p></li></ul><p>
 <b>Required Skills &amp; Experience</b></p><ul><li><p>
5&ndash;10 years of total experience in AI / ML engineering, including at least 2 years in Generative AI.</p></li><li><div>
Proven expertise with <b>agentic frameworks</b> &mdash; LangGraph, Google ADK, Semantic Kernel, CrewAI, LangChain, or similar.</div></li><li><div>
Strong programming skills in <b>Python</b> and familiarity with microservice or API-based systems.</div></li><li><div>
Hands-on experience with <b>LLMs</b>, <b>vector search</b>, and <b>retrieval-augmented generation (</b><b> </b><b>)</b> architectures.</div></li><li><div>
Good understanding of <b>prompt engineering</b>, <b>model evaluation</b>, and <b>context optimization</b>.</div></li><li><div>
Experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments.</div></li><li><div>
Exposure to <b>model fine-tuning</b>, <b>LoRA</b>, or custom embedding generation.</div></li><li><p>
Build <b>multimodal content generation workflows</b>:</p></li></ul><div><b>
Text </b><b> Image</b> (Stable Diffusion, Runway, Sora, GPT, Midjourney APIs)</div><div><b>
Image </b><b> Image / Video</b> (image transformation, video synthesis)</div><div><b>
Text </b><b> Video</b> (Veo, Sora, Pika Labs, Runway ML, or similar)</div><div><b>
Text </b><b> Audio / Speech</b> (TTS systems, diffusion-based audio models)</div><p>
 <b>Good to Have</b></p><ul><li><p>
Knowledge of <b>multimodal AI</b> (text, image, audio, video).</p></li><li><div>
Experience building or contributing to internal agent SDKs and AI developer platforms.</div></li><li><div>
Understanding of <b>tool-augmented reasoning</b>, <b>graph-based agent workflows</b>, and <b>memory architectures</b>.</div></li><li><div>
Familiarity with data governance, hallucination control, and AI safety best practices.</div></li><li><p>
Experience optimizing inference latency and cost for production-scale models.</p></li></ul><p>
 <b>Soft Skills</b></p><ul><li><p>
Strong problem-solving and analytical thinking abilities.</p></li><li><div>
Excellent communication and cross-functional collaboration skills.</div></li><li><div>
Self-driven, with a focus on ownership and innovation.</div></li><li><p>
Ability to translate complex technical ideas into practical, scalable implementations.</p></li></ul><p>
 <b>Why Join Us</b></p><ul><li><p>
Work at the forefront of <b>agentic and generative AI innovation</b>.</p></li><li><div>
Collaborate with a highly skilled AI research and engineering team.</div></li><li><div>
Shape the architecture of next-generation intelligent systems.</div></li><li><div>
Opportunity to lead high-impact projects with cutting-edge LLM and reasoning frameworks.</div></li><li><p>
Competitive compensation, flexible work setup, and a culture centered on innovation and technical excellence.</p></li></ul><p><b>
About Brahma</b><br>
Brahma delivers the Media Business inside Every Business. Born from the world&rsquo;s most demanding industries&mdash;Media, Sports, and Entertainment&mdash;the Brahma Creator Platform, the end-to-end AI Content Creation platform, merges 17 years of proven SaaS leadership with advanced Agentic AI innovation.<br>
<br>
Evolving from CLEAR&reg; AI, a trusted Media Asset Management platform, Brahma is now the category-defining Creator Platform for enterprise content. It unifies creation, management, and distribution into a single, AI-powered supply chain&mdash;helping organisations meet skyrocketing content demand with speed, scale, security, and ROI. The CLEAR AI Data platform is Agentic, generates the highest fidelity data at the lowest cost and provides the best personal content assistant AI Chatbot.</p></div>

Senior / Principal Generative AI Engineer

Toyota Research Institute

<div><div><div>At Toyota Research Institute (TRI), we&rsquo;re on a mission to improve the quality of human life. We&rsquo;re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we&rsquo;ve built a world-class team in Automated Driving, Energy &amp; Materials, Human-Centered AI, Human Interactive Driving, Large Behavior Models, and Robotics.</div><div></div><div><b><br>
The Team</b></div><div>
We&rsquo;re on a mission to improve the quality of human life by creating robots that can learn, adapt, and assist in everyday environments. We are building a world-class team to push the boundaries of robot learning, combining machine learning, perception, prediction, and action to produce robust and coordinated robot behaviors.</div><div></div><div><b><br>
The Opportunity</b></div><div>
We&rsquo;re looking for a motivated Research Engineer to help develop the next generation of AI-powered robots through high-fidelity simulation and Large Behavior Models. In this role, you&rsquo;ll work at the intersection of machine learning, computer vision, robotics, and physics-based modeling to enable scalable and generalizable robot policy development. Experience with simulation or embodied systems (robots, autonomous vehicles, etc.) is a strong plus.</div><div></div><div><br>
As part of our team, you&rsquo;ll contribute to cutting-edge research while leveraging TRI&rsquo;s expertise in ML, cloud, software, and hardware to build systems that move from simulation to real-world deployment.</div></div>
<div><div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul><li><ul><li>
Build, improve, and robustify end-to-end integrated ML pipelines for training multimodal (language, images, 3D, video, actions) models at scale.</li><li>
Develop and manage physics-based robot simulation environments enabling scalable training and evaluation of learning-based behavior models in realistic, physically grounded scenarios.</li><li>
Integrate and validate learned policies in simulation, assessing real-world applicability, generalization, and performance across diverse environments, tasks, geometries, and sensor viewpoints.</li><li>
Train, finetune, and serve robot foundation models with a strong MLOps mindset.</li><li>
Build processes for integrating collaboration-produced and open-source advancements and code into our internal stack.</li><li>
Collaborate with internal research scientists and our partner labs at top academic institutions and Toyota research labs to drive pioneering research at scale.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Qualifications</b></h3><ul><li><ul><li>
Bachelor's or master's degree in Computer Science, Robotics, Physics, or a related field.</li><li>
2+ years of professional engineering experience at an AI/ML-focused organization.</li><li>
Strong proficiency in Python and experience with simulation frameworks such as Isaac Sim, PyBullet, MuJoCo, or similar.</li><li>
Hands-on experience with robotics simulation, reinforcement learning, or large-scale machine learning.</li><li>
Familiarity with state-of-the-art methods in behavior learning and/or computer vision.</li><li>
Experience integrating ML models into simulated or real-world environments.</li><li>
Extensive practical experience with PyTorch.</li><li>
Ability to alternate between rapid prototyping and production-quality implementation.</li><li>
Solid understanding of software engineering best practices, including testing, CI/CD, and documentation.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Bonus Qualifications</b></h3><ul><li><ul><li>
Experience deploying models on embodied systems/robots.</li><li>
Experience working in mixed teams of research scientists and engineers.</li><li>
Exposure to MLOps tools and infrastructure (e.g., Docker, EC2, S3, Sagemaker).</li></ul></li></ul></div></div>
<div><div><b>Please submit a brief cover letter and add a link to Google Scholar to include a full list of publications when submitting your CV for this position.</b></div><div></div><div><i><br>
The pay range for this position at commencement of employment is expected to be between $128,000 and $192,000/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, business or organizational needs, market location, job-related knowledge, skills, and experience. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.</i></div><div></div><div><br>
Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.</div><div></div><div><br>
TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant&rsquo;s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.</div><div></div><div><br>
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
</div></div><div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Research Engineer, Simulation for Robot Learning

Rapid Eagle Inc

<div><b>Benefits:</b><br>
<ul><li>401(k) matching</li>
<li>Dental insurance</li>
<li>Health insurance</li>
</ul><br>
<b>Prompt Engineer</b><br>
<b>100% Remote</b><br>
<br>
<b>Skills:-</b><br>
<br>
<b>Key Responsibilities:</b><br>
<br>
<ul><li>Design and engineer <b>effective prompts</b> to guide LLMs in generating accurate, relevant, and context-aware outputs.<br>
</li><li>Conduct <b>prompt experiments and A/B tests</b> to evaluate model performance and optimize results.<br>
</li><li>Collaborate with <b>AI researchers, data scientists, and product teams</b> to develop prompt libraries and evaluation datasets.<br>
</li><li>Generate <b>complex, edge-case queries</b> to test reasoning, factuality, and robustness of AI models.<br>
</li><li>Evaluate and annotate AI-generated responses for <b>accuracy, tone, bias, and hallucination</b> detection.<br>
</li><li>Document <b>prompt structures, test results, and performance improvements</b>.<br>
</li><li>Work with <b>multi-modal inputs (text, image, video)</b> when applicable.</li></ul><br>
<br>
<p>This is a remote position.</p></div>

Prompt Engineer

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