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Machina Labs is introducing unseen flexibility and agility to the centuries-old manufacturing industry.
The Role
As a Senior Machine Learning Engineer, you'll create ML models to optimize production processes, collaborating with engineers to enhance manufacturing intelligence.
Summary Generated by Built In
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 future—where 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 NVIDIA’s NVentures, Innovation Endeavors, and Lockheed Martin Ventures, Machina Labs is building the first commercial robotic sheet metal forming machines—creating a future where manufacturing is as agile and adaptive as software.
Every day, we work side by side with some of the world’s most innovative organizations to solve their toughest challenges and accelerate the pace of progress. At Machina Labs, we’re not just building robots; we’re 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 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:
- MS or PhD. in Data Science, Computer Science, Machine Learning, Statistics, or a related field.
- 4+ years of hands-on experience in machine learning systems, algorithms, and applications (e.g. deep learning, time series analysis, etc.).
- Experienced and very comfortable coming up with machine learning architectures and training models from scratch.
- Extensive Python programming experience.
- Familiarity with big data platforms (Hadoop, Spark, Hive) and analytics environments (Databricks, Sagemaker/Azure ML, Jupyter).
- Experience in build/release systems and processes.
- Quick learner of new technologies and experienced in fast-paced iterative design.
- Strong communicator with the ability to explain complex topics to technical and non-technical audiences.
- Startup/Early Product Development experience is a plus!
- Proven track record of being able to solve complex problems independently and as part of an integrated team.
Bonus Points For:
- Experience in reinforcement learning.
- Experience incorporating very large scale multi-dimensional point clouds into learning frameworks.
- Experience with unsupervised learning techniques.
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.
Top Skills
Azure Ml
Databricks
Hadoop
Hive
Jupyter
Python
Sagemaker
Spark
What the Team is Saying
Jessica
Office Manager
Mark
Process Development Manager
Edward
CEO
Joakim
Machine Learning Engineer
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The Company
What We Do
This unlocks rapid iteration improving design lifecycle and enabling a higher rate of innovation. Machina Labs’ manufacturing platform combines the latest advances in robotics and AI so great ideas can quickly and affordably turn to reality.
Why Work With Us
Machina Labs unlocks manufacturing with AI & Robotics. Machina's Robotic Craftsman is introducing unseen flexibility and agility to the centuries-old manufacturing industry, enabling rapid iteration and innovation to design, engineering, and production. Machina helps leading companies quickly and affordably turn great ideas into reality.
Gallery
Machina Labs, Inc Offices
OnSite Workspace
Most employees work in-person at our beautiful office in Chatsworth, CA. Some employees engage in a combination of remote and on-site work.
Typical time on-site:
None
Los Angeles, CA
