Senior Software Engineer, Machine Learning

Job Description

Job Description

About Machina Labs

At Machina Labs, we’re reshaping manufacturing through advanced robotics and machine learning. Our platform uses the largest 6-axis robots on the market to form 2D sheets of metal into complex 3D parts, layer-by-layer.

Traditional sheet metal production was designed for scale, not flexibility. It relies on costly dies and tooling that make lower volume projects prohibitively slow and expensive. We’re changing that. Whether you’re a startup building a few thousand airframes or an automaker prototyping next-generation components, Machina Labs gives you the ability to iterate and manufacture at the speed of software.

With support from the venture arms of Toyota, NVIDIA, and Lockheed Martin, we’re accelerating the future of manufacturing, one where factories are flexible, production is on-demand, and innovation is unconstrained.

About The Role

As a Senior Machine Learning Engineer at Machina Labs, you won’t just be training models—you’ll be shaping the future of manufacturing. Every day, our robotic systems generate massive streams of sensor data, and your challenge will be to turn that raw information into intelligence that transforms how things are made. From cloud-scale experimentation to edge-ready deployment, you’ll develop ML models that predict and optimize the critical parameters of our production process.

You’ll collaborate closely with roboticists, software engineers, and manufacturing experts to design algorithms that make our systems smarter, faster, and more reliable. Think of it as building the “brain” that powers the factory of the future.

This role is ideal for someone who thrives at the intersection of theory and application—where cutting-edge research meets production-grade impact. Your work won’t sit in a paper or a sandbox; it will directly influence how aircraft, spacecraft, and next-generation products are built.

What You’ll Do :

• Identify opportunities for machine learning automation and predictive modeling by analyzing available data and collaborating with engineers and manufacturing process experts.
• Conduct data mining, develop model architectures, train and deploy models, and define metrics aligned with business objectives.
• Design, develop, and deploy ETL and data cleansing processes to extract relevant features for modeling (in collaboration with other team members).
• Assist team members in data analysis and interpretation.
• Design and conduct experiments to test and validate solutions and models.
• Build a production-ready pipeline supporting multiple machine learning models.
• Develop monitoring tools for data quality and system performance.
• Provide guidance to team members and actively participate in interview processes to hire additional team members.

What You'll Bring :

Bonus Points For :

In addition to the provided base salary range, this role also offers comprehensive benefits (Medical, Dental, Vision), PTO, and Stock Options

Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law.

We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.