M

Machina Labs

AI-enabled robotic manufacturing for rapid production

Senior Product Manager - Machine Learning

Full-TimeUpdated on 10/23/2026
$150k - $210k/yr
Senior
Bachelor's
Chatsworth, Los Angeles, CA, USA
Hybrid
ProductTechnical Product Management

About the job

Requirements
  • A bachelor's degree in computer science, electrical engineering, or a related engineering field, or equivalent practical experience demonstrating the same depth.
  • At least five years of product management experience in technical software environments.
  • A proven track record of shipping complex solutions by defining problems before solutions, driving engineering execution, and measuring success by outcomes.
  • Enough technical depth to steer direction with a machine learning team, debate architecture choices, understand the data an approach requires, and recognize when an approach is a poor fit.
  • Curiosity about users and ability to understand their needs and build products that improve their work.
  • Ability to communicate effectively, present to executives, influence teams across the company, and align collaborators.
Responsibilities
  • Own the machine learning and simulation roadmap by defining priorities, making tradeoffs, and communicating direction to engineering and leadership.
  • Run sprints for the Machine Learning/Physics Simulation team and drive delivery from discovery through release.
  • Conduct direct user research with internal process engineers to understand their needs and how machine learning can support their workflows.
  • Write clear product requirements with sufficient technical depth to support substantive tradeoff discussions with engineers.
  • Develop internal expertise in cell behavior, including robot operations, the effects of material type, and which predictions would change user decisions.
  • Participate in company roadmap and strategy discussions, representing the software tools perspective.
  • Partner with the Product Lead to align the machine learning roadmap with broader company priorities.
  • Own models that predict springback and pre-compensate the forming path so the first formed part is close to the target shape.
  • Own a model that recommends input parameters for path planning so parts form optimally.
  • Own the datasets needed to train machine learning models, including exploring historical data and working with the research and development team to plan experiments and runs that fill data gaps.
Desired Qualifications
  • Prior product experience where a model output is the product.
  • Direct experience with machine learning or computer vision through coursework, research, or building and training models.
  • Experience building or using physics-based simulation.

About the company

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

$173.1M

Headquarters

Los Angeles, California

Founded

2019

Get referred to Machina Labs

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • February 4, 2026 Series C raised $124 million for a 200,000-square-foot factory.
  • July 15, 2026 Lockheed qualification converts Machina from pilot vendor toward production supplier.
  • September 2026 reporting shows headcount around 98 and continued hiring, signaling active scaling.

What critics are saying

  • RoboCraftsman remains slower than stamping; volume manufacturing still trails traditional lines in 2026.
  • Machina Factory 3 must execute flawlessly or the $124 million expansion burns cash.
  • Defense concentration creates existential exposure if JASSM qualification slips or Pentagon procurement priorities change.

What makes Machina Labs unique

  • RoboCraftsman replaces dies with software-defined robotic forming, compressing months of tooling into days.
  • Machina’s defense-qualified assemblies reached Lockheed Martin JASSM qualification on July 15, 2026.
  • Toyota, Lockheed Martin, NASA, and Woven Capital validate cross-market relevance and customer trust.

Help us improve and share your feedback! Did you find this helpful?

Benefits

  • Flexible Work Hours

Growth & Insights and Company News

6 month growth

0%

1 year growth

1%

2 year growth

-1%
Yahoo Finance
Sep 25th, 2026
LA startup Machina Labs raises funding from Toyota and Lockheed Martin for robotic metal-shaping system

Machina Labs, founded by former SpaceX engineer Ed Mayor, has developed the Robocraftsman, a manufacturing system using two robotic arms and software to shape metal parts on demand. The technology addresses a critical challenge in American manufacturing: the high cost and long lead times of traditional tooling, which can require hundreds of thousands or millions of dollars for specialised industrial moulds. The system can produce components for diverse applications, from drones to aircraft panels, by using software rather than physical dies. Whilst Machina Labs aims to produce 50 Robocraftsmen annually to build entire factory floors, current production stands at approximately five units per year. The Los Angeles-based startup has attracted backing from major partners including Toyota and Lockheed Martin.

Yahoo Finance
Sep 18th, 2026
Ex-SpaceX engineer's robots cut Air Force part production from four years to two months

Ed Mehr, a former SpaceX engineer, founded Machina Labs to address a critical manufacturing bottleneck: replacement parts for US Air Force cargo planes that can take four years to produce. His solution uses robotic arms to shape sheet metal in weeks, eliminating the need for expensive custom dies that can cost up to $1 million each. The LA-based startup has attracted contracts from the US Air Force, NASA, and Lockheed Martin. Defence supply chains face significant pressure, with 87% of programmes citing supply-chain issues as scaling bottlenecks. Machina's system uses two robotic arms that mould metal like clay, guided by real-time feedback software. Each robotic cell costs roughly $1 million, significantly less than traditional stamping lines. The company prioritises flexibility over volume, betting that modern manufacturing and defence needs require adaptable production rather than high-volume output.

SBIR.gov
Sep 14th, 2026
Awards | SBIR

For best search results, use the search terms first and then apply the filters. Search results are downloadable for 10,000 or fewer records.

SpaceNews
Aug 12th, 2026
Pentagon missile buildup changing the factory floor.

Pentagon missile buildup changing the factory floor. Startups are bringing software, robotics and manufacturing methods developed around commercial space into a defense industry under pressure to produce weapons faster HUNTSVILLE, Ala. - The Pentagon's push to replenish missile inventories is creating an opening for a new class of manufacturers that say the problem isn't simply a shortage of factory space. It is how those factories are built. Startups such as Machina, Hadrian and Freeform are applying software, robotics and highly automated production techniques to aerospace and defense manufacturing, challenging a model that has long relied on dedicated machinery, specialized tooling and skilled labor to make relatively small numbers of complex parts. Some of the new manufacturing technology grew out of the commercial space industry. At this year's Space and Missile Defense Symposium, Los Angeles-based Machina is displaying a 16-foot fuselage for a hypersonic vehicle that it manufactured for Ursa Major, a company that is expanding from rocket propulsion into complete hypersonic missile systems. Machina co-founder and chief executive Edward Mehr, who previously worked at SpaceX and Relativity Space, says the hardware is an example of how AI can be applied not to designing weapons, but to controlling the machines that manufacture them. "Missile programs are not constrained by design. They are constrained by production," Mehr told SpaceNews. Machina recently received a qualification contract from Lockheed Martin supporting the Joint Air-to-Surface Standoff Missile, or JASSM, a long-range cruise missile built for the Air Force. The agreement is significant for Machina because it puts an assembly made with the company's manufacturing process through qualification for an operational missile program. Lockheed is also an investor in Machina through Lockheed Martin Ventures. Mehr said manufacturing fuselage structures for hypersonic missiles has become "a big area of growth for us." Machina's manufacturing platform, called RoboCraftsman, uses robotic arms to progressively shape sheets of metal into aerospace structures. The company uses artificial intelligence to give robotic equipment more autonomy over how it performs a physical task. "Our use of AI and robotics allows us to build flexible manufacturing systems that can switch between processes and geometries while reducing the need for dedicated tooling," Mehr said. Mehr said traditional programs can require tens of millions of dollars in dedicated equipment and long setup periods before the first production hardware is available for testing. Machina's argument is that a programmable factory can compress that transition because much of the change resides in software rather than in a new set of dies and machinery. Equipment previously producing automotive hardware, for example, could be reprogrammed to begin making a missile structure after receiving the digital design, he said. "Under the traditional model, a significant design change or a new missile component can require another investment in tooling, equipment and production setup," Mehr said. "With our system, much of that change can happen through software rather than by building another dedicated manufacturing line." Machina is looking to demonstrate that its approach can consistently meet the tolerances, quality requirements and production rates demanded by major weapons programs. The company is preparing to scale. Machina raised $124 million earlier this year to help finance a new 200,000-square-foot U.S. factory intended to move the technology from lower-volume work into larger production runs. Its customers also include NASA and Toyota.

Business Wire
Feb 5th, 2026
Machina Labs Raises $124 Million to Scale Manufacturing Infrastructure for Defense and Advanced Mobility

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...