Senior Software Engineer, Machine Learning

Senior Software Engineer, Machine Learning

About Machina Labs

Machina Labs was founded in 2019 to redefine how the world manufactures. Based in Los Angeles, we are pioneering the software-defined factories of the futurewhere advanced robotics and artificial intelligence replace rigid tooling and enable rapid, flexible production at any scale.

Our mission is simple yet transformative : unlock manufacturing and unconstrained innovation. By developing modular robotic forming systems, we empower industries such as aerospace, automotive, and defense to design, prototype, and produce with unprecedented speed, efficiency, and sustainability.

Backed by leading deep-tech investors, including NVIDIAs NVentures, Innovation Endeavors, and Lockheed Martin Ventures, Machina Labs is building the first commercial robotic sheet metal forming machinescreating a future where manufacturing is as agile and adaptive as software.

Every day, we work side by side with some of the worlds most innovative organizations to solve their toughest challenges and accelerate the pace of progress. At Machina Labs, were not just building robots; were reshaping entire industries.

Join us as we bring the factory of the future to life!

About The Role

As a Senior Machine Learning Engineer at Machina Labs, you wont just be training modelsyoull 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, youll develop ML models that predict and optimize the critical parameters of our production process.

Youll 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 applicationwhere cutting-edge research meets production-grade impact. Your work wont sit in a paper or a sandbox; it will directly influence how aircraft, spacecraft, and next-generation products are built.

What Youll 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.

$155,000 - $190,000 a year

Compensation details : 155000-190000 Yearly Salary

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