Sr. ML SWE - Third Wave Automation

Company Description

Third Wave Automation is a rapidly growing startup that has demonstrated its core technology components, proven its market fit, and just closed its Series C funding. If you are excited about cutting edge machine learning, robotics that affects the real world, and want to join a company where your skills can have a huge impact, you’ll fit right in. 

Third Wave Automation is applying modern machine learning to materials handling—delivering site-specific forklift navigation and infrastructure-free pallet handling that continuously adapts to changing floor configuration and warehouse demand. 

Job Description

Third Wave Automation is looking for a Senior Machine Learning software engineer to design and deliver new autonomous forklift capabilities.

How You Can Make an Impact

• Utilize knowledge of machine learning system design, architectures, and training.
• Write maintainable code inside our highly collaborative codebase. Deliver high-quality software design, documentation and implementation.
• Help drive the development of a state of the art continual learning system.
• Provide input on all aspects of product development from brainstorming to final delivery.
• Provide technical leadership in your areas of specialization and contribute original ideas and improvements to project designs, pipelines, and tools.

Desired Qualifications

• PhD or Master’s degree, or equivalent experience, in Robotics, CS, EE, or related quantitative discipline with a focus on Machine Learning, Artificial Intelligence, Computer Vision, Manipulation or similar.
• 5+ Years of professional experience in hands-on development of machine learning systems and/or machine learning infrastructure.
• Strong software development skills that encourage code reuse among researchers and ability to write efficient, clean, and reusable code in Python. C++ experience is a bonus.
• Experience with ML frameworks such as PyTorch and Tensorflow, and with cloud computing platforms such as Google Cloud or Amazon Web Services.

Bonus Points For 

• Professional experience developing machine learning infrastructure for robotics systems.
• Deep experience and understanding of machine learning for computer vision.
• Deployed a continual learning system for a robotics product.
• Experience with ROS or other robotics frameworks.
• Experience selecting and working with RGB-D sensors such as Intel Realsense or Microsoft Kinect.
• Experience mentoring developers
• Project or program leadership experience
• A desire to create new innovative approaches to perception and manipulation and to improve personal development and skills.
• Open to new challenges and work independently across disciplines to both investigate issues and identify solutions.

The pay range for this position is $135,000 - $205,000/yr+ benefits+equity; however, base pay offered may vary depending on job-related knowledge, skills, and experience.  Base pay information is based on market location.

More About Working Here

Our Core Values:

• Safety. We consider safety in everything we do.
• People. We care about our teammates as people.
• Encouragement. We encourage teaching, asking questions, and sharing opinions.
• Transparency. We are transparent and sincere in our actions.

A robust set of benefits and perks:

• Comprehensive benefits. Health, Dental, Vision, and a 401k matching program, to boot!
• Flexible working schedule. Be productive when you work best.
• Show & Tell. We love to learn from one another, and see the cool stuff everyone is working on!
• Meals are covered. Lunch is provided every day, and dinner for those evenings that run long.
• Stacks of snacks. Donuts are a main food group, and the snack shelf is always stocked with a wide variety of items.
• Great teammates. One of the best parts of working here!

We are an equal opportunity employer and value diversity at our company. We value each person's expertise and experiences. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 

All qualified applicants able to work in the United States are encouraged to apply.