**We help make autonomous technologies more efficient, safer, and accessible.**

[Helm.ai](https://www.helm.ai/) builds AI software for autonomous driving and robotics. Our "Deep Teaching" methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks without the need for human annotation or simulation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers and we've raised over $100M from Honda, Goodyear Ventures, Mando, and others to help us scale.

Our team is made up of people with a diverse set of experiences in software and academia. We work together towards one common goal: to integrate the software you'll help us build into hundreds of millions of vehicles.

You will work collaboratively to improve our models and iterate on novel research directions, sometimes in just days. We're looking for talented engineers who'd enjoy applying their skills to deeply complex and novel AI problems. Here, you will:

- Apply and extend the Helm proprietary algorithmic toolkit for unsupervised learning and perception problems at scale
- Develop our planner behavior and trajectories in collaboration with software and autonomous vehicle engineers to deploy algorithms on internal and customer vehicle platforms
- Carefully execute development and maintenance of tools used for deep learning experiments designed to provide new functionality for customers or address relevant corner cases in the system as a whole

**You have:**

- 5+ years of experience in a related field
- Experience working with neural networks, PyTorch and/or Tensorflow
- Experience in one (or more) of:
    - Path planning
    - Generative simulation
    - Intent prediction
- Fluency in Python and working knowledge of C++ programing
- A strong interest in unsupervised learning, computer vision, and/or the autonomous vehicle industry
- Master’s or Ph.D. in a related field

**We offer:**

- Competitive health insurance options
- 401K plan management
- Remote-friendly and flexible team culture
- Free lunch and fully-stocked kitchen in our South Bay office
- Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale
- The opportunity to work on one of the most interesting, impactful problems of the decade

Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai are considered the property of Helm.ai and are not subject to payment of agency fees.

Research Engineer, Motion Planning

**We help make autonomous technologies more efficient, safer, and accessible.**

[Helm.ai](https://www.helm.ai/) builds AI software for autonomous driving and robotics. Our "Deep Teaching" methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks without the need for human annotation or simulation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers and we've raised over $100M from Honda, Goodyear Ventures, Mando, and others to help us scale.

Our team is made up of people with a diverse set of experiences in software and academia. We work together towards one common goal: to integrate the software you'll help us build into hundreds of millions of vehicles.

**You will:**

- Build mission-critical tools for improving observability and scaling the entire machine learning process.
- Use modern technologies to serve huge amounts of data, visualize key metrics, manage our data inventory, trigger backend data processing pipelines, and more.
- Work closely with people across the company to create a seamless UI experience.

**You have:**

- At least 4 years of industry experience creating full-stack web applications in a production environment.
- Is fluent in JavaScript, HTML, CSS, and a backend programming language (e.g. C++, Java, Python, Go, etc).
- Is proficient with at least one mainstream front-end framework (e.g. React, Angular, etc).
- Experienced with creating backend APIs (e.g. REST, RPC, OpenAPI, etc). Familiarity with gRPC is a plus.


**We offer:**

- Competitive health insurance options
- 401K plan management
- Remote-friendly and flexible team culture
- Free lunch and fully-stocked kitchen in our South Bay office
- Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale
- The opportunity to work on one of the most interesting, impactful problems of the decade

[Helm.ai](http://helm.ai/) is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of [Helm.ai](http://helm.ai/) are considered the property of [Helm.ai](http://helm.ai/) and are not subject to payment of agency fees.

Sr. Fullstack Engineer

**We help make autonomous technologies more efficient, safer, and accessible.**

[Helm.ai](https://www.helm.ai/) builds AI software for autonomous driving and robotics. Our "Deep Teaching" methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks without the need for human annotation or simulation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers and we've raised over $100M from Honda, Goodyear Ventures, Mando, and others to help us scale.

Our team is made up of people with a diverse set of experiences in software and academia. We work together towards one common goal: to integrate the software you'll help us build into hundreds of millions of vehicles.

**You will:**

You will work collaboratively to improve our models and iterate on novel research directions, sometimes in just days. We're looking for talented engineers who'd enjoy applying their skills to deeply complex and novel AI problems. Here, you will:

- Apply and extend the Helm proprietary algorithmic toolkit for unsupervised learning and perception problems at scale
- Carefully execute development and maintenance of tools used for deep learning experiments designed to provide new functionality for customers or address relevant corner cases in the system as a whole
- Work closely with software and autonomous vehicle engineers to deploy algorithms on internal and customer vehicle platforms

**You have:**

- A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it!
- Comfort operating in a fast-paced environment to deliver customer projects
- Introspection, thoughtfulness, and detail-orientation
- Experience working with neural networks, Tensorflow and/or PyTorch
- Fluency in Python and working knowledge of C/C++ programing
- A strong interest in unsupervised learning, computer vision, and/or the autonomous vehicle industry
- Master’s or Ph.D. in a related field and/or 5+ years of experience in a related field



**We offer:**

- Competitive health insurance options
- 401K plan management
- Remote-friendly and flexible team culture
- Free lunch and fully-stocked kitchen in our South Bay office
- Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale
- The opportunity to work on one of the most interesting, impactful problems of the decade

[Helm.ai](http://helm.ai/) is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of [Helm.ai](http://helm.ai/) are considered the property of [Helm.ai](http://helm.ai/) and are not subject to payment of agency fees.

Research Engineer

**We help make autonomous technologies more efficient, safer, and accessible.**

[Helm.ai](https://www.helm.ai/) builds AI software for autonomous driving and robotics. Our "Deep Teaching" methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks without the need for human annotation or simulation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers and we've raised over $100M from Honda, Goodyear Ventures, Mando, and others to help us scale.

Our team is made up of people with a diverse set of experiences in software and academia. We work together towards one common goal: to integrate the software you'll help us build into hundreds of millions of vehicles.

You will collaborate with researchers to perform research operations using existing infrastructure. You will use your judgment in complex scenarios and help apply standard techniques to a wide variety of technical problems. Specifically, you will:

- Characterize neural network quality, failure modes, and edge cases based on research data
- Maintain awareness of current trends in relevant areas of research and technology
- Coordinate with researchers and accurately convey status of experiments
- Manage a large number of concurrent experiments and make accurate time estimates with respect to deadlines
- Review experimental results and suggest theoretical or process improvements for future iterations
- Write technical reports indicating qualitative and quantitative results to external parties

**You have:**

- A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it!
- Proficiency in Python
- Proven ability to thrive in fast-paced environment
- Ability to communicate complex technical concepts to colleagues and a variety of audience
- Introspection, thoughtfulness, and detail-orientation

***The following are a plus, but not required:***

- Master’s or Ph.D. in a related field and/or 5+ years of experience in a directly related field
- Experience reading research papers and implementing the techniques therein
- Computer vision and deep learning experience


**We offer:**

- Competitive health insurance options
- 401K plan management
- Remote-friendly and flexible team culture
- Free lunch and fully-stocked kitchen in our South Bay office
- Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale
- The opportunity to work on one of the most interesting, impactful problems of the decade

[Helm.ai](http://helm.ai/) is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of [Helm.ai](http://helm.ai/) are considered the property of [Helm.ai](http://helm.ai/) and are not subject to payment of agency fees.

Machine Learning Engineer

**We help make autonomous technologies more efficient, safer, and accessible.**

[Helm.ai](https://www.helm.ai/) builds AI software for autonomous driving and robotics. Our "Deep Teaching" methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks without the need for human annotation or simulation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers and we've raised over $100M from Honda, Goodyear Ventures, Mando, and others to help us scale.

Our team is made up of people with a diverse set of experiences in software and academia. We work together towards one common goal: to integrate the software you'll help us build into hundreds of millions of vehicles.

You will collaborate with research engineers to build infrastructure to perform research operations and automate the training and optimization of ML models for real-time inference in computer vision applications. Specifically, you will:

- Write frameworks with flexible and modular components to quickly prototype trainings and implement new cutting-edge research ideas
- Build robust and fault-tolerant ML pipelines for running inference on large image and video datasets
- Leverage your knowledge of deep learning frameworks to optimize trainings in terms of GPU utilization, memory, speed, and accuracy
- Design and implement APIs to automate the training and validation of a wide range of ML models for specialized use cases

**You have:**

- 5+ years of experience in a directly related field
- Experience with tensorflow/pytorch, Jax, or related deep learning framework
- Experience building distributed, scalable software as a service
- Proficiency in Python
- Proven ability to thrive in a fast-paced environment
- Ability to communicate complex technical concepts to a variety of audiences
- Introspection, thoughtfulness, and detail-orientation

***The following are a plus but not required:***

- Master or Ph.D. in Math, Computer Science or a related field
- Experience in learning and implementing techniques from research papers
- Computer vision experience

**We offer:**

- Competitive health insurance options
- 401K plan management
- Remote-friendly and flexible team culture
- Free lunch and fully-stocked kitchen in our South Bay office
- Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale
- The opportunity to work on one of the most interesting, impactful problems of the decade

[Helm.ai](http://helm.ai/) is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of [Helm.ai](http://helm.ai/) are considered the property of [Helm.ai](http://helm.ai/) and are not subject to payment of agency fees.

Machine Learning Engineer - Infrastructure and Automation

Helm AI

Helm.ai is building the next generation of AI technology for ADAS, autonomous driving, and robotic automation.

Helm AI

Open roles