Machine Learning Engineer, Infrastructure and Automation

Helm.AI; Rutland Township (IL); Hybrid; USD 90,000 - 150,000; Full time

Job summary

Join a forward-thinking company at the forefront of autonomous technology. As a Machine Learning Engineer, you will play a pivotal role in developing innovative solutions that enhance efficiency and safety in autonomous driving. Collaborate with a talented team to create robust ML pipelines and frameworks, optimizing deep learning models for real-time applications. This role offers the chance to work on impactful projects that shape the future of transportation, all within a flexible and remote-friendly culture that values diversity and creativity. If you're passionate about AI and eager to tackle one of the most exciting challenges of our time, this opportunity is for you.

Benefits

Competitive health insurance options

Remote-friendly culture

Free lunch and stocked kitchen

Monthly wellness stipend

Office setup allowance

Company retreats

Qualifications

• 5+ years experience in machine learning and AI technologies.
• Proficiency in deep learning frameworks like TensorFlow or PyTorch.

Responsibilities

• Collaborate with engineers to build ML infrastructure and automate model training.
• Design APIs for training and validation of various ML models.

Skills

Python

TensorFlow

PyTorch

Distributed Systems

Deep Learning

Communication Skills

Education

Bachelor's Degree in Computer Science

Master's or Ph.D. in Math or Computer Science

Tools

Jax

Job description

Machine Learning Engineer, Infrastructure and Automation

Remote, United States

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

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

We offer:

• Competitive health insurance options
• 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 ofHelm.ai are considered the property ofHelm.ai and are not subject to payment of agency fees.

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