Full-Time
Machine Learning Engineer
Posted on 12/13/2023
Machina Labs
51-200 employees
AI-enabled robotic manufacturing for rapid production
No salary listed
Los Angeles, CA, USA
This is an onsite position based at the company's HQ in Chatsworth, CA, indicating that the role requires the candidate to be located in or willing to relocate to Chatsworth, CA.
This is an onsite position based at the company's HQ in Chatsworth, CA, indicating that the role requires the candidate to be located in or willing to relocate to Chatsworth, CA.
This is an onsite position based at the company's HQ in Chatsworth, CA, indicating that the role requires the candidate to be located in or willing to relocate to Chatsworth, CA.
 AI & Machine Learning |
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 Software Engineering |
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 Data & Analytics |
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- MS/Ph.D. in Data Science, Computer Science, Machine Learning, Statistics, or related fields, or equivalent professional experience
- 2+ years of experience in machine learning systems, algorithms, and applications (e.g., deep learning, time series analysis)
- Startup/early product development experience
- Strong understanding of fundamental CS algorithms and scaling behaviors
- Extensive Python programming experience
- Proficient in build/release systems and processes
- Experience with data warehouses, data lakes, and ETL
- Familiarity with big data platforms (Hadoop, Spark, Hive), orchestration frameworks (Airflow), and analytic environments (Databricks, Sagemaker, Jupyter)
- Quick learner of new technologies
- Experience in fast-paced iterative design and manufacturing environments
- Strong communicator with the ability to explain complex topics to technical and non-technical audiences
- Proven ability to solve complex problems independently or as part of an integrated team
- Collaborate with the Engineering team to identify opportunities for machine learning automation and predictive modeling
- Conduct data mining, develop, train, and deploy models, and define metrics aligned with business objectives
- Perform data cleaning and ETL processes to extract relevant features for modeling
- Assist team members in data analysis and interpretation
- Conduct A/B testing of solutions or 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 the interview process
- Experience in smart manufacturing technologies
- Knowledge of AI and robotics
- Experience with agile development
- Experience in fast-paced startup environments
Machina Labs develops integrated manufacturing systems that combine robotics and AI to speed up design, prototyping, and production. Their systems automate the shaping, assembly, and testing of sheet metal and other parts using AI-driven optimization and digital tooling. These capabilities are tailored for aerospace, defense, OEMs, heavy equipment, energy, marine, construction, and consumer products, with a focus on large-format parts and fast, end-to-end fabrication for government and industrial customers. The goal is to shorten design-to-production cycles while improving quality and reliability for next-generation equipment.
Company Size
51-200
Company Stage
Series C
Total Funding
$172.3M
Headquarters
Los Angeles, California
Founded
2019
Simplify's Take
What believers are saying
- $124M Series C funds 200,000 sq ft Intelligent Factory for missile structures in 2026.
- Toyota pilots RoboForming for custom vehicle panels, backed by Woven Capital at UP.Summit 2025.
- EDGE Group's SDF invests and partners for AI manufacturing expansion in December 2025.
What critics are saying
- Formic's mobile cells erode defense contracts with plug-and-play deployment in 12-24 months.
- Radiant Industries captures aerospace OEMs using cheaper plasma deposition in 6-12 months.
- Lack of ITAR certification blocks 70% defense revenue as Air Force shifts in 18-36 months.
What makes Machina Labs unique
- RoboCraftsman uses AI-guided robotics to form metal parts directly from CAD without custom dies.
- Deployable System enables on-premise manufacturing for Air Force aircraft parts at Robins AFB.
- Elastic Factories reprogram for new designs, supporting hypersonics and airframes rapidly.
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Growth & Insights and Company News
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↑ 5%Machina Labs, a leader in advanced manufacturing and robotics, today announced it has closed a Series C financing totaling $124 million and the development o...
Machina Labs, a Los Angeles-based robotics startup, has raised $124 million to build a large-scale robotic manufacturing facility. The company plans to construct an "Intelligent Factory" spanning over 18,580 square metres, focused on mass-producing missile structures and airframes. The facility, significantly larger than Machina's current sites, will be located in New Mexico, Texas, Alabama or Nevada. Investors include Lockheed Martin Ventures, Balerion Space Ventures, Woven Capital and Abu Dhabi-based EDGE Group's Strategic Development Fund. Machina's "RoboCraftsman" cells use AI-guided robotics to shape metal parts directly from CAD files, eliminating the need for custom dies that cost up to $1 million each with 50-week lead times. The company currently generates 70% of revenue from defence contracts and 30% from commercial clients.
Abu Dhabi, UAE – December, 2025 – Strategic Development Fund (SDF), an Abu Dhabi-based investment entity wholly owned by EDGE Group, today announced the signing of an initial partnership and …
Toyota, Machina Labs partnership offers on-demand customization for vehicles. Toyota Motor North America has partnered with Los Angeles - based Machina Labs to test new ways of manufacturing custom vehicle parts, including body panels and accessories, using artificial intelligence (AI) and robotics at automotive-grade quality. AI-Driven manufacturing for custom parts. Machina Labs is piloting its RoboForming technology with Toyota. The system, part of Machina's RoboCraftsman platform, uses robotic arms and AI to shape sheet metal without the need for dedicated molds or tooling. This allows automakers to produce unique parts in smaller volumes while maintaining the speed and precision of traditional mass production. Toyota and Woven Capital's role. The project was unveiled at the UP.Summit 2025 technology conference, where Machina and Toyota demonstrated a custom tailgate made using the process. Zach Choate, the General Manager of Production Engineering at Toyota Motor North America, said the work is in line with Toyota's goal of offering more personalized options to customers. Toyota's venture arm, Woven Capital, has backed the collaboration with an investment, noting that AI-powered manufacturing enables engineers to design and produce parts faster and at lower cost while easing supply chain pressures. The overall goal is to make vehicle customization more affordable and scalable within existing production systems. Toward flexible, on-demand production. Machina's technology also supports near-line manufacturing, allowing parts to be produced on demand from cells positioned close to assembly lines. The company said this setup makes it possible to handle low-volume, customized production without interrupting factory operations. The approach also addresses a growing market for automotive customization and accessories - valued at about $2.4 billion in 2024 for trucks alone - by reducing tooling costs, storage needs, and changeover times. Image credit: Machina Labs
Machina Labs appoints Ronen Lebi as Chief Business Officer.