About Narya.ai At Narya.ai, we are driving the future of AI innovation, founded by AI researchers from Caltech and Georgia Tech. Our mission is to create cutting-edge productivity tools that enable users to capture ideas, organize information, build personal knowledge networks, and manage complex tasks. By developing AI products that enhance human capabilities, we aim to improve daily efficiency and well-being for our users. We are currently building Mumble Note (https://www.mumblenote.com/), an AI-powered voice note app. Mumble Note transforms your thoughts and moments into structured notes with AI, organizes them for easy retrieval and review, and allows seamless sharing. The app is currently in beta testing. About the Role: Machine Learning Research Engineer We are seeking a Machine Learning Research Engineer to join our team. In this role, you will work on building innovative AI solutions and collaborating with a talented team to:	•	Design and implement AI systems that address user needs in innovative ways.	•	Build data pipelines, fine-tune multimodal language models, and develop AI agents by integrating and coordinating various models.	•	Improve models and algorithms based on user feedback to enhance product performance. This position is available as a full-time role or internship based in Palo Alto. Requirements We are looking for candidates who possess the following qualifications:	•	Proficiency in implementing algorithm ideas into functional code.	•	Demonstrated experience in machine learning and working with large language models (LLMs).	•	Strong problem-solving skills and a drive to tackle challenging issues. CompensationCompensation and benefits will be discussed during the interview process and will be commensurate with experience and role type (full-time or internship). ApplicationIf you are passionate about shaping the future of AI, we encourage you to apply. Please send your resume or questions to jobs@narya.ai.

AI Research Engineer, Model Scaling, Self-Driving  At Tesla, you will have access to unparalleled resources that set us apart from other companies in the AI industry. You will have access to the largest self-driving dataset in the world, providing a unique environment to investigate scaling laws for sequential decision-making problems. Tesla also offers one of the highest GPU resources per engineer in the industry, giving you a significantly larger computational budget compared to typical AI research environments.
These unique resources enable you to conduct experiments and scaling analyses at a level unmatched by any other company, allowing you to grow as a researcher by tackling challenges that others simply cannot offer. By working at Tesla, you’ll have the opportunity to push the boundaries of AI and autonomous driving technology while advancing your skills in an environment that truly values innovation and cutting-edge research.
What You’ll Do   Perform scaling law analyses on model size, data size, data mixture, training compute, and other critical parameters to optimize our AI models using the largest self-driving dataset in the world.
Develop and implement novel architectures and algorithms to effectively scale large End-to-End (E2E) self-driving models.
Create and maintain infrastructure for efficient, large-scale distributed training of E2E models, resolving compute and memory bottlenecks for training and inference.
Evaluate and enhance model performance, with a focus on increasing miles driven without human intervention.
Work closely with cross-functional teams to deploy AI models in production, ensuring they meet stringent performance and reliability standards.
Contribute to the development of tools and frameworks that improve the scalability and efficiency of model training and deployment processes.
What You’ll Bring   Proven experience in scaling and optimizing large AI models, with a strong understanding of infrastructure challenges and solutions.
Proficiency in Python and a deep understanding of software engineering best practices.
In-depth knowledge of deep learning fundamentals, including optimization techniques, loss functions, and neural network architectures.
Experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
Strong expertise in distributed computing and parallel processing techniques.
Demonstrated ability to work collaboratively in a cross-functional team environment.
Strong problem-solving skills and the ability to troubleshoot complex system-level issues.
Compensation and Benefits  Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction.
Family-building, fertility, adoption and surrogacy benefits.
Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution.
Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA.
Healthcare and Dependent Care Flexible Spending Accounts (FSA).
LGBTQ+ care concierge services.
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits.
Company paid Basic Life, AD&D, short-term and long-term disability insurance.
Employee Assistance Program.
Sick and Vacation time (Flex time for salary positions), and Paid Holidays.
Back-up childcare and parenting support resources.
Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance.
Weight Loss and Tobacco Cessation Programs.
Tesla Babies program.
Commuter benefits.
Employee discounts and perks program.
Expected Compensation: $140,000 - $360,000/annual salary + cash and stock awards + benefits. Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
Privacy is a top priority for Tesla. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Tesla Talent Privacy Notice.

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We are seeking a  Senior Software Engineer  to spearhead our data acquisition and management systems, critical to our advanced AI research. In this role, you will architect and maintain efficient pipelines for sourcing, processing, and organizing the extensive datasets that fuel our generative AI models. Your expertise will have a direct and transformative impact on the quality and capabilities of our technology.
Responsibilities
Partner with research teams to understand and address model performance gaps by identifying and leveraging novel data sources.
Develop and implement robust data pipelines for acquisition, deduplication, filtering, and pre-training dataset preparation.
Collaborate with annotation operations teams to design innovative data filtering strategies and enhance dataset quality.
Apply and integrate advanced methodologies such as self-supervised active learning to scale data systems.
Lead research projects to improve data quality and drive advancements in video generation models.
Qualifications
Education : Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
Experience : 3+ years of experience in managing and curating large-scale datasets, particularly in fields like computer vision, NLP, robotics, or self-driving technologies.
Key Skills :
Strong proficiency in Python and familiarity with deep learning frameworks such as PyTorch.
Experience with large-scale data processing tools, such as SQL or Spark.
Hands-on expertise in designing and working with distributed systems.
Proven ability to thrive in a fast-paced, research-focused environment and deliver end-to-end project solutions.
Note : This position is not intended for recent graduates.
Compensation
The salary range for this role in California is $175,000–$250,000 per year. Actual base pay may vary based on factors such as job-related expertise, skills, experience, and candidate location. Additionally, we provide competitive equity packages through stock options and a comprehensive benefits plan.
Apply for this job
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AI Research Engineer, Generative Modeling, Self-Driving  You will play a critical role in our small, specialized team of machine learning scientists, specializing in generative modeling. Your primary focus will be to develop, train, and optimize large generative models that comprise the core world-understanding and decision-making of Autopilot. You will have access to one of the world’s largest training clusters to develop and scale our leading-edge models.
What You’ll Do
Spearhead the development and training of cutting-edge large generative models, including diffusion models, VAEs, autoregressive models, and GANs
Optimize model performance through improved training techniques and methods such as semi-supervised learning and unsupervised pre-training
Collaborate with other experts in deep learning, infrastructure, and distributed computing to ensure the efficient and scalable training of large generative models
What You’ll Bring
A demonstrable track record in developing and training large generative models, including infrastructure challenges, optimizing the efficiency of the training process, and tuning the model for best performance
Proficiency in Python and a strong foundation in software engineering best practices
A deep understanding of deep learning fundamentals, encompassing in-depth knowledge of layer details, loss functions, and optimization techniques
Proficiency in implementing neural network architectures tailored for generative modeling
Experience with deep learning frameworks such as PyTorch, TensorFlow, JAX, or similar platforms
Familiarity with standard scientific computing primitives, including batched operations, grid sampling, scatter/gathering, and einsum
Strong expertise in system-level knowledge, enabling you to optimize the training and evaluation processes efficiently and effectively, is preferred
Compensation and Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
Family-building, fertility, adoption and surrogacy benefits
Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
Healthcare and Dependent Care Flexible Spending Accounts (FSA)
LGBTQ+ care concierge services
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
Company paid Basic Life, AD&D, short-term and long-term disability insurance
Employee Assistance Program
Sick and Vacation time (Flex time for salary positions), and Paid Holidays
Back-up childcare and parenting support resources
Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
Weight Loss and Tobacco Cessation Programs
Tesla Babies program
Commuter benefits
Employee discounts and perks program
Expected Compensation
$164,000 - $360,000/annual salary + cash and stock awards + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
Privacy is a top priority for Tesla. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Tesla Talent Privacy Notice

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We are seeking a highly skilled Research Engineer with extensive experience in training Generative AI models. As part of our research team, you will play a key role in building state-of-the-art multimodal foundation models and managing large-scale training runs on thousands of GPUs. Your expertise will directly impact the performance, scalability, and efficiency of our next-generation AI technologies. Key Responsibilities <ul><li>Lead and contribute to groundbreaking research in multimodal foundation models.</li><li>Design, develop, and experiment with innovative algorithms, architectures, and techniques to enhance model performance and scalability.</li><li>Optimize models for production environments, focusing on computational efficiency, throughput, and latency while maintaining accuracy and robustness.</li><li>Analyze and manage large-scale data clusters, identifying inefficiencies and bottlenecks in training pipelines and data loading processes.</li><li>Collaborate with cross-functional teams, including data, applied research, and infrastructure teams, to drive impactful projects.</li></ul> Qualifications <ul><li>Technical Expertise:<ul><li>Demonstrated strong engineering skills in Python and PyTorch.</li><li>Hands-on experience building machine learning models from scratch using PyTorch.</li><li>Familiarity with generative multimodal models such as Diffusion Models and GANs.</li><li>Solid understanding of foundational deep learning concepts, including Transformers.</li></ul></li><li>Preferred Experience:<ul><li>1 year+ industrial or academic lab experience.</li><li>Experience working with large distributed systems involving 100+ GPUs.</li><li>Proficiency with Linux clusters, systems, and scripting.</li></ul></li></ul> Note: This role is open to recent graduates. Compensation The salary range for this position in California is $160,000-$200,000 per year. The final offer will be based on job-related expertise, skills, candidate location, and experience. Additionally, we provide competitive equity packages in the form of stock options and a comprehensive benefits plan.

We are seeking a Senior Software Engineer to spearhead our data acquisition and management systems, critical to our advanced AI research. In this role, you will architect and maintain efficient pipelines for sourcing, processing, and organizing the extensive datasets that fuel our generative AI models. Your expertise will have a direct and transformative impact on the quality and capabilities of our technology.Responsibilities<ol><li>Partner with research teams to understand and address model performance gaps by identifying and leveraging novel data sources.</li><li>Develop and implement robust data pipelines for acquisition, deduplication, filtering, and pre-training dataset preparation.</li><li>Collaborate with annotation operations teams to design innovative data filtering strategies and enhance dataset quality.</li><li>Apply and integrate advanced methodologies such as self-supervised active learning to scale data systems.</li><li>Lead research projects to improve data quality and drive advancements in video generation models.</li></ol>Qualifications<ol><li>Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.</li><li>Experience: 3+ years of experience in managing and curating large-scale datasets, particularly in fields like computer vision, NLP, robotics, or self-driving technologies.</li></ol>Key Skills:<ol><li>Strong proficiency in Python and familiarity with deep learning frameworks such as PyTorch.</li><li>Experience with large-scale data processing tools, such as SQL or Spark.</li><li>Hands-on expertise in designing and working with distributed systems.</li><li>Proven ability to thrive in a fast-paced, research-focused environment and deliver end-to-end project solutions.</li></ol>Note: This position is not intended for recent graduates.CompensationThe salary range for this role in California is $175,000–$250,000 per year. Actual base pay may vary based on factors such as job-related expertise, skills, experience, and candidate location. Additionally, we provide competitive equity packages through stock options and a comprehensive benefits plan.<h3>Apply for this job</h3>
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We are looking for engineers with significant problem solving experience in PyTorch, CUDA and distributed systems. You will work with Research Scientists to build & train cutting edge foundation models on thousands of GPUs. Responsibilities <ul><ul><li>Ensure efficient implementation of models & systems for data processing, training, inference and deployment</li><li>Identify and implement optimization techniques for massively parallel and distributed systems</li><li>Identify and remedy efficiency bottlenecks (memory, speed, utilization) by profiling and implementing high-performance CUDA, Triton, C++ and PyTorch code</li><li>Work closely together with the research team to ensure systems are planned to be as efficient as possible from start to finish</li><li>Build tools to visualize, evaluate and filter datasets</li><li>Implement cutting-edge product prototypes based on multimodal generative AI</li></ul></ul> Experience <ul><ul><li>Experience training large models using Python & Pytorch, including practical experience working with the entire development pipeline from data processing, preparation & data loading to training and inference.</li><li>Experience optimizing and deploying inference workloads for throughput and latency across the stack (inputs, model inference, outputs, parallel processing etc.)</li><li>Experience with profiling CPU & GPU code in PyTorch, including Nvidia Nsight or similar.</li><li>Experience writing & improving highly parallel & distributed PyTorch code, with familiarity in DDP, FSDP, Tensor Parallel, etc.</li><li>Experience writing high-performance parallel C++. Bonus if done within an ML context with PyTorch, like for data loading, data processing, inference code.</li><li>Experience with high-performance Triton / CUDA and writing custom PyTorch kernels. Top candidates will be able to utilize tensor cores; optimize performance with CUDA memory and other similar skills.</li><li>Good to have experience working with Deep learning concepts such as Transformers & Multimodal Generative models such as Diffusion Models and GANs.</li><li>Good to have experience building inference / demo prototype code (incl. Gradio, Docker etc.)</li><li>Please note this role is not meant for recent grads.</li></ul></ul> Compensation <ul><ul><li>The pay range for this position in California is $180,000 - $250,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan. </li></ul></ul> $200,000 - $280,000 a year In addition to cash base pay, you'll also receive a sizable grant of Luma's equity. The pay range for this position is for Bay Area. Base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. Your applications are reviewed by real people.

Join us to help build the vision and language models that understand the world and act intelligently in it. We are hiring exceptional Software Engineers that can work across the machine learning stack, from designing and training neural architectures to deciding what data to collect and how to evaluate the model. You will join a small group of world-class deep learning experts to develop novel state-of-the-art neural networks and push the boundaries of AI research and development. Your work will enable real-world intelligent systems for full autonomous driving. Join a team that cares deeply about solving real world embedded intelligence and behavior. Responsibilities <ul><li>Own a machine learning vertical, including deciding what data we should collect and how to label it, designing the network architecture, training the model at scale on one of the largest GPU clusters in the world, and driving and evaluating your model in an engineering Tesla vehicle</li><li>Work with a world-class team on cutting-edge techniques in large multimodal models, multi-task learning, video networks, generative models, imitation learning, semi-supervised learning, and self-supervised learning</li><li>Have an outsized impact deploying foundation models to millions of Tesla's robotic platforms across the world</li></ul> Requirements <ul><li>Strong software engineering skills: much of modern deep learning success comes down to the quality of the implementation and strong engineering ability is non-negotiable</li><li>Demonstrated excellence and a proven track record of solving difficult software engineering problems</li><li>An "under the hood" knowledge of deep learning: layer details, loss functions, optimization, etc.</li><li>Experience with PyTorch, or another major deep learning framework such as JAX or TensorFlow</li><li>Experience working with large datasets</li></ul> Compensation and Benefits Benefits Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire: <ul><li> Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction</li> <li> Family-building, fertility, adoption and surrogacy benefits</li> <li> Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution</li> <li> Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA</li> <li> Healthcare and Dependent Care Flexible Spending Accounts (FSA)</li> <li> LGBTQ+ care concierge services</li> <li> 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits</li> <li> Company paid Basic Life, AD&D, short-term and long-term disability insurance</li> <li> Employee Assistance Program</li> <li> Sick and Vacation time (Flex time for salary positions), and Paid Holidays</li> <li> Back-up childcare and parenting support resources</li> <li> Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance</li> <li> Weight Loss and Tobacco Cessation Programs</li> <li> Tesla Babies program</li> <li> Commuter benefits</li> <li> Employee discounts and perks program</li> <ul>Expected Compensation $140,000 - $360,000/annual salary + cash and stock awards + benefits Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

<h3>AI Research Engineer, Generative Modeling, Self-Driving</h3>You will play a critical role in our small, specialized team of machine learning scientists, specializing in generative modeling. Your primary focus will be to develop, train, and optimize large generative models that comprise the core world-understanding and decision-making of Autopilot. You will have access to one of the world’s largest training clusters to develop and scale our leading-edge models.What You’ll Do<ul><li>Spearhead the development and training of cutting-edge large generative models, including diffusion models, VAEs, autoregressive models, and GANs</li><li>Optimize model performance through improved training techniques and methods such as semi-supervised learning and unsupervised pre-training</li><li>Collaborate with other experts in deep learning, infrastructure, and distributed computing to ensure the efficient and scalable training of large generative models</li></ul>What You’ll Bring<ul><li>A demonstrable track record in developing and training large generative models, including infrastructure challenges, optimizing the efficiency of the training process, and tuning the model for best performance</li><li>Proficiency in Python and a strong foundation in software engineering best practices</li><li>A deep understanding of deep learning fundamentals, encompassing in-depth knowledge of layer details, loss functions, and optimization techniques</li><li>Proficiency in implementing neural network architectures tailored for generative modeling</li><li>Experience with deep learning frameworks such as PyTorch, TensorFlow, JAX, or similar platforms</li><li>Familiarity with standard scientific computing primitives, including batched operations, grid sampling, scatter/gathering, and einsum</li><li>Strong expertise in system-level knowledge, enabling you to optimize the training and evaluation processes efficiently and effectively, is preferred</li></ul>Compensation and BenefitsAlong with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:<ul><li>Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction</li><li>Family-building, fertility, adoption and surrogacy benefits</li><li>Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution</li><li>Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA</li><li>Healthcare and Dependent Care Flexible Spending Accounts (FSA)</li><li>LGBTQ+ care concierge services</li><li>401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits</li><li>Company paid Basic Life, AD&D, short-term and long-term disability insurance</li><li>Employee Assistance Program</li><li>Sick and Vacation time (Flex time for salary positions), and Paid Holidays</li><li>Back-up childcare and parenting support resources</li><li>Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance</li><li>Weight Loss and Tobacco Cessation Programs</li><li>Tesla Babies program</li><li>Commuter benefits</li><li>Employee discounts and perks program</li></ul>Expected Compensation$164,000 - $360,000/annual salary + cash and stock awards + benefits Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.Privacy is a top priority for Tesla. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Tesla Talent Privacy Notice
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Research Engineer Jobs in Palo Alto, CA

Machine Learning Research Engineer
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Ai Research Engineer Generative Modeling Selfdriving
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Senior Research Engineer Performance Optimization
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Ai Research Engineer Generative Modeling Selfdriving
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Research Engineer Jobs in Palo Alto, CA

Machine Learning Research EngineerDecember 31, 2024

Ai Research Engineer Model Scaling SelfdrivingDecember 27, 2024

Senior Research Engineer Data Palo Alto CaDecember 26, 2024

Ai Research Engineer Generative Modeling SelfdrivingDecember 23, 2024

Research Engineer Foundation ModelDecember 22, 2024

Senior Research Engineer Data Palo Alto CaDecember 21, 2024

Senior Research Engineer Performance OptimizationDecember 20, 2024

Ai Research Engineer Foundation Models SelfdrivingDecember 19, 2024

Ai Research Engineer Generative Modeling SelfdrivingDecember 18, 2024