5,778 AI Models jobs in the United States

Erias Ventures was founded to serve its customers with an entrepreneurship mindset. We value open communication , taking action , being committed , persevering through challenges and failures , and sharing innovative ideas .

We are seeking engineers who wish to grow their careers and want to become part of a strong, entrepreneurial-minded, and technical company focused on bringing innovative solutions to the difficult mission problems facing our customers.

Description
We are seeking a Software Engineer to support multi-model content triage working with neural networks, transformers, and Python. This position supports the research and development of entity, event and topic identification and correlation across multimedia inputs (image, audio, and text in multiple languages).

Requirements
A current Top-Secret/SCI with polygraph security clearance is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.

Seven (7) years' experience as a SWE in programs and contracts of similar scope, type, and complexity is required. Bachelor's degree in Computer Science or related discipline from an accredited college or university is required. Four additional (4) years of SWE experience on projects with similar software processes may be substituted for a bachelor's degree.

Required technical skills:

• Neural Networks
• Transformers
• Python

Benefits
Erias Ventures provides employees with a complete benefits package that includes:

• Above Market Hourly Pay that includes Paid Time Off , Birthday Off, Flexible Work Schedules
• 11% Roth or Traditional 401k with Immediate Vesting and Deposit
• Company subsidized Medical Coverage
• 100% Company Paid Vision and Dental Coverage
• 100% Company Paid Long Term Disability , Short Term Disability , and Group Life Insurance
• Monthly Internet and Telephone Reimbursement
• Company Paid Professional Development and Training
• Technology and Office Allowance for Equipment and Productivity Supplies
• Amazon Prime Membership
• Quarterly Bonuses for Assisting with Business Development and Company Growth
• Gift Cards and Gifts for Birthday and Work Anniversary
• Morale Building and Company Events to Celebrate our Successes and Build our Community
• Quarterly Employee Referral Bonuses

At Erias Ventures, we are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Referrals
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To learn more about our company visit our webpage or LinkedIn .

Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense.

Kodiak is building the next generation of AI for autonomy, and foundation models are at the core. We are looking for engineers to develop and scale self-supervised, large-scale models that understand the world at a deep level, enabling adaptability, generalization, and safety in real-world operations. This role is open to all levels-from engineers eager to learn to experts looking to push the limits of AI.

In this role, you will:

• Develop foundation models that generalize across diverse real-world environments
• Build scalable training and fine-tuning pipelines to improve performance and efficiency
• Leverage self-supervised learning and multimodal architectures for robust AI understanding
• Optimize models for deployment in dynamic, real-time AI systems
• Collaborate with engineering teams to apply foundation models in real-world autonomy

What you'll bring:

• BS, MS, or PhD in AI, Computer Science, or a related field, or at least 2-3 years of industry experience
• Experience in transformers, contrastive learning, or large-scale model architectures
• Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow
• Strong understanding of self-supervised learning and scalable AI training techniques
• Passion for advancing AI that continuously improves through data-driven learning

What we offer:

• Competitive compensation package including equity and biannual bonuses
• Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits)
• Flexible PTO and generous parental leave policies
• Our office is centrally located in Mountain View, CA
• Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
• Long Term Disability, Short Term Disability, Life Insurance
• Wellbeing Benefits - Headspace, One Medical, Gympass, Spring Health
• Fidelity 401(k)
• Commuter, FSA, Dependent Care FSA, HSA
• Various incentive programs (referral bonuses, patent bonuses, etc.)

Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Please note that the compensation details listed above are base salary only and do not include bonus, equity, or benefits.

California Pay Range

$150,000-$250,000 USD

Actual salary ranges will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location. Please note that the compensation details listed above are base salary only and do not include bonus, equity, or benefits.

At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law.

In alignment with its business operations, Kodiak adheres to all relevant statutes, regulations, and administrative prerequisites. Accordingly, roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidate's residence, U.S. person status, and/or citizenship status. Should the position require, and Kodiak determines that a candidate's residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak's sole discretion, or, as an alternative, opt not to proceed with the candidate's application. If applicable, Kodiak may provide visa sponsorship for eligible candidates.

What to Expect

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.

What You'll Do

• 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
  
• 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
  
• Have an outsized impact deploying foundation models to millions of Tesla's robotic platforms across the world
  

What You'll Bring

• 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
  
• Demonstrated excellence and a proven track record of solving difficult software engineering problems
  
• An "under the hood" knowledge of deep learning: layer details, loss functions, optimization, etc.
  
• Experience with PyTorch, or another major deep learning framework such as JAX or TensorFlow
  
• Experience working with large datasets
  

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:

• 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 $ 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)
• 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 - 420,000/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.

Our client is at the forefront of AI innovation and is seeking a brilliant AI/ML Engineer specializing in Generative Models to join their fully remote, cutting-edge research and development team. This is a unique opportunity to work on groundbreaking projects that push the boundaries of artificial intelligence. You will be responsible for designing, developing, and deploying advanced machine learning models, with a specific focus on generative techniques such as GANs, VAEs, and Transformers. Your work will involve exploring new algorithms, optimizing model performance, and integrating AI solutions into real-world applications. Key responsibilities include conducting research, experimenting with large datasets, implementing model architectures, and collaborating with cross-functional teams to bring innovative AI products to market. The ideal candidate possesses a Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field, coupled with significant hands-on experience in deep learning and generative modeling. Proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Keras is mandatory. Strong understanding of natural language processing (NLP), computer vision, and reinforcement learning is highly desirable. Excellent analytical, problem-solving, and communication skills are essential to effectively convey complex technical concepts and contribute to a collaborative, research-driven environment. If you are passionate about shaping the future of AI and eager to work on challenging, impactful problems, this remote role is the perfect fit for your ambitions.

MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere-on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
MongoDB is looking for a driven individual with strong energy, intellectual curiosity, and initiative to help build the go-to-market team for Voyage AI Embedding and Reranking Models. This Account Executive role focuses on both sourcing net-new relationships with engineering teams building AI applications, and working closely with MongoDB's existing sales team to sell to existing MongoDB customers. This role provides a unique opportunity to be part of a small and nimble team that will work cross-functionally, including with Voyage AI's founders, to bring one of MongoDB's newest AI products to market.
You will work cross-functionally with Marketing, Sales, Partnerships, Developer Relations, and MongoDB Ventures to deliver real value to both early-stage founders and enterprise accounts reinforcing MongoDB's position as the go-to data platform for AI-native applications.
We are looking to speak to candidates who are based in San Francisco for our hybrid working model.
**What you will be doing**
+ Serve as a key member of MongoDB Ventures GTM and Voyage AI in helping to drive adoption and usage of Voyage Embedding and Reranking model
+ Contribute to the design and execution of go-to-market strategies for the assigned startup territory
+ Drive engagement within the assigned territory, particularly focusing on technical decision makers and founders
+ Build strong relationships with builders, innovators, business leaders, and operations teams to (1) win net-new customers with Voyage models (2) explore and establish strategic partnerships (3) drive top-line revenue
+ Develop and maintain a foundational understanding of MongoDB & Voyage AI products, competitors, and partner products
+ Participate in sales enablement training, including Sales Bootcamp, ongoing sales training, and leadership and development programs
**Who You Are**
+ 1-3 years of quota carrying field experience in a fast-paced and competitive market, ideally selling technically complex products
+ High level of intellectual curiosity and coachability
+ Demonstrated ability to identify and build new champions within your customer-base, and navigate a sales process
+ Ability to translate complex technical concepts and technical pain into business value
+ Drive and competitive with a strong desire to be successful
+ Must live in territory and be willing to be in office 3 days per week
**Things we love**
+ Passionate about learning and growing your career
+ Aspirations to build something special and grow a business
+ Familiarity with software development concepts, technologies, and personas
+ Experience selling into technical buyers
To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB ( , and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
_Req ID: _
MongoDB's base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB's total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
MongoDB's base salary range for this role in the U.S. is:
$75,004.80-$75,004.80 USD

Reflex Robotics Job Post

Reflex Robotics is building affordable ($10k) wheeled humanoid robots to automate dangerous and repetitive tasks in manufacturing and logistics.

We envision a future where intelligent robots are doing all kinds of boring work that people hate doingloading chicken nuggets into Costco boxes, lifting forty pound bags of dog food at Petco stores, and cleaning up cranberry juice spills in your apartment.

We are a three-year-old startup backed by Khosla Ventures, with $60M/year of revenue lined up pending successful pilots with e-commerce warehouses in 2025.

Our robots are designed and built entirely in-house by an engineering team that led development of the Stretch robot at Boston Dynamics and key systems on the Tesla Model S, X, and Y production lines. Reflex robots are high-performance, low-inertia, and optimized for low-cost manufacturing.

We've built the best real-time teleoperation system in the world, allowing a remote operator in South America to "play a video game" to control our robots at human-level speeds. This has allowed us to already ship robots with positive unit economics, and enables us to create a powerful human-intervention + RL product feedback loop.

Our system allows us to collect high-quality demonstrations at scalegiving us the proprietary data engine needed to train increasingly capable AI systems. We're on track to build the largest robotics dataset in the world, which will serve as an important long-term advantage.

Key Company Beliefs

• High-quality, proprietary robotics data is the next foundation for generational AI companies (like Tesla FSD and ChatGPT).
• Being nerd-sniped by maximizing an engineering metric is way less important than solving our customers' biggest pain points.
• An insane work ethic is required for outsized successand you'll be rewarded for it.

What We're Looking For

We're still a small teamwhich means high ownership, high equity, and the chance to shape the product from the ground up.

VLAs and other great "base policies" for robotics achieve ~80% success rates, but in real robot deployments, it's essential to achieve 99.99% success rates. We can't ask our customers to tolerate our robots packing three socks into a bin instead of four, or swapping shipping labels between two packagesnot even once! You should apply for this role if:

• You've architected and trained large-scale video/world models (ex. Sora, Veo)
• You've turned generative models into controllable simulators: action?/state?conditioned rollouts
• You've built the data & eval stack for world modeling to quantify downstream policy success

You'd be joining a company that already has a solid core businesswith working hardware, delighted customers, and profitable unit economics. Reflex is de-risked enough to see the hazy outlines of success, but still small enough that there's enormous upside up for grabs.

This is a rare opportunity to help build a flagship robotics company from the ground upand to do work that will truly matter, reshaping what people believe is possible in robotics.

We love to see the things you've worked on. Have a portfolio or insane project you've worked on? Share it. We're looking for people who push past the status quo, are passionate at work and in their own timewe're looking for people who want to win.

Our client is at the forefront of innovation in AI and Emerging Technologies and is looking for a Principal AI Research Scientist specializing in Generative Models to join their cutting-edge research lab in **Miami, Florida, US**. This role demands a visionary individual with a deep theoretical understanding and practical experience in developing novel deep learning architectures for content generation, such as text, images, and audio. You will be instrumental in pushing the boundaries of what AI can create, contributing to groundbreaking projects that will shape future technological landscapes. The position involves a hybrid work arrangement, combining collaborative in-office sessions with remote flexibility.

Responsibilities:

• Lead research initiatives in generative artificial intelligence, focusing on advanced deep learning techniques (e.g., GANs, VAEs, Transformers).
• Develop and implement state-of-the-art generative models for various modalities, including text, image, and audio synthesis.
• Conduct rigorous experimentation, analyze results, and publish findings in top-tier AI conferences and journals.
• Collaborate with engineering teams to translate research prototypes into production-ready AI systems.
• Mentor junior researchers and engineers, fostering a culture of innovation and knowledge sharing.
• Stay current with the latest advancements in AI, machine learning, and related fields.
• Identify new research opportunities and propose innovative projects aligned with the company's strategic goals.
• Design and execute experiments to evaluate model performance, robustness, and ethical implications.
• Contribute to the intellectual property portfolio through patent applications and publications.
• Present research findings to technical and non-technical audiences, including senior leadership.

Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field.
• 7+ years of research experience in AI, with a significant focus on generative models.
• Proven track record of impactful research contributions, evidenced by publications and/or patents.
• Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and Python programming.
• Strong theoretical foundation in machine learning, probability, and statistics.
• Experience with large-scale datasets and distributed computing environments.
• Excellent problem-solving, critical thinking, and analytical skills.
• Exceptional communication and presentation abilities.
• Demonstrated leadership in research projects or teams.

This position offers a highly competitive salary, generous performance bonuses, stock options, and extensive benefits, including support for continuous learning and conference attendance.

Our client is seeking a highly skilled and innovative Senior AI Research Scientist to join our cutting-edge team focused on Generative Models. This is a fully remote, high-impact role where you will be at the forefront of developing next-generation artificial intelligence technologies. You will be instrumental in shaping the future of AI, contributing to research and development initiatives that push the boundaries of what's possible. Your work will directly influence the direction of our AI product roadmap and drive significant technological advancements. The ideal candidate possesses a deep understanding of machine learning, particularly in areas like deep learning, reinforcement learning, and natural language processing.

Responsibilities:

• Conduct advanced research into generative adversarial networks (GANs), variational autoencoders (VAEs), diffusion models, and other generative AI techniques.
• Develop and implement novel algorithms and models for tasks such as content creation, data augmentation, and synthetic data generation.
• Collaborate with a team of world-class researchers and engineers to translate research concepts into practical applications.
• Design and execute experiments to evaluate model performance and identify areas for improvement.
• Publish research findings in top-tier AI conferences and journals.
• Mentor junior researchers and contribute to the overall growth of the AI research team.
• Stay abreast of the latest advancements in AI and machine learning, identifying emerging trends and opportunities.
• Contribute to the design and architecture of scalable AI systems.
• Ensure responsible AI practices are integrated into all research and development processes.
• Participate in technical discussions and provide expert insights on AI strategy.

Qualifications:

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven track record of research contributions in generative AI, evidenced by publications or significant project work.
• Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Expertise in at least one area of generative modeling (GANs, VAEs, diffusion models, etc.).
• Solid understanding of machine learning fundamentals, including probability, statistics, and optimization.
• Experience with large-scale data processing and distributed computing.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration abilities, essential for a remote-first environment.
• Ability to work independently and manage complex projects with minimal supervision.

This role is based in Durham, North Carolina, US , but operates on a fully remote basis, offering flexibility and the opportunity to work from anywhere within the US. We offer a competitive salary, comprehensive benefits package, and the chance to make a profound impact on the future of AI.

Our client, a cutting-edge research and development firm, is seeking a highly skilled and motivated Senior AI Research Scientist to join our dynamic team in Phoenix, Arizona, US . This pivotal role will focus on the advancement of generative AI models, pushing the boundaries of what's possible in machine learning and artificial intelligence. You will be instrumental in designing, developing, and implementing novel algorithms and architectures for generating realistic and complex data, including text, images, and code. The ideal candidate possesses a deep theoretical understanding of deep learning, probabilistic modeling, and reinforcement learning, coupled with practical experience in building and deploying large-scale AI systems.

Responsibilities:

• Conduct fundamental research in generative AI, including GANs, VAEs, diffusion models, and transformers.
• Design and implement novel deep learning architectures and training methodologies.
• Develop and optimize AI models for high-performance computing environments.
• Collaborate with cross-functional teams of engineers and researchers to translate research ideas into tangible products and features.
• Publish research findings in top-tier AI conferences and journals.
• Mentor junior researchers and engineers, fostering a culture of innovation and technical excellence.
• Stay abreast of the latest advancements in AI and machine learning research.
• Contribute to the strategic direction of the AI research roadmap.

Qualifications:

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 5+ years of hands-on experience in AI research and development, with a proven track record of publications or significant contributions.
• Expertise in at least one major deep learning framework (e.g., TensorFlow, PyTorch).
• Strong programming skills in Python, C++, and related languages.
• Experience with distributed training and cloud platforms (AWS, GCP, Azure).
• Excellent analytical, problem-solving, and critical-thinking abilities.
• Strong communication and collaboration skills, with the ability to articulate complex technical concepts effectively.

Join us in shaping the future of artificial intelligence and making a significant impact in the field. This is an exciting opportunity for an ambitious researcher to work on groundbreaking projects in a supportive and intellectually stimulating environment.