Remote Machine Learning Engineer, Infrastructure and Automation

Description:

• Helm.ai is focused on making autonomous technologies more efficient, safer, and accessible.
• The company builds AI software for autonomous driving and robotics using a unique Deep Teaching™ methodology that is data and capital efficient.
• Helm.ai's unsupervised learning software can train neural networks without human annotation or simulation and is hardware-agnostic.
• The team collaborates with major automotive manufacturers and has raised over $100M from investors like Honda and Goodyear Ventures.
• The Machine Learning Engineer will work with research engineers to build infrastructure for research operations and automate the training and optimization of ML models for real-time inference in computer vision applications.
• Responsibilities include writing frameworks for quick prototyping, building robust ML pipelines for large datasets, optimizing trainings using deep learning frameworks, and designing APIs for automating training and validation of ML models.

Requirements:

• Candidates must have 5+ years of experience in a directly related field.
• Experience with deep learning frameworks such as TensorFlow, PyTorch, or Jax is required.
• Candidates should have experience in building distributed, scalable software as a service.
• Proficiency in Python is necessary.
• A proven ability to thrive in a fast-paced environment is essential.
• Candidates must be able to communicate complex technical concepts to various audiences.
• Introspection, thoughtfulness, and detail-orientation are important traits for this role.
• A Master’s or Ph.D. in Math, Computer Science, or a related field is a plus but not required.
• Experience in learning and implementing techniques from research papers and computer vision experience are also considered advantageous.

Benefits:

• Helm.ai offers competitive health insurance options.
• A 401K plan management is provided.
• The company promotes a remote-friendly and flexible team culture.
• Employees enjoy free lunch and a fully-stocked kitchen in the South Bay office.
• Additional perks include a monthly wellness stipend, office setup allowance, company retreats, and more as the company scales.
• Employees have the opportunity to work on one of the most interesting and impactful problems of the decade.