Deploying software-defined, autonomous metal 3D printing factories with proprietary technology stack for advanced sensing and real-time controls.

Freeform is revolutionizing manufacturing through software-defined, autonomous metal 3D printing factories. As a Principal Software Engineer, you'll lead innovative development across our embedded ecosystem, focusing on edge computing for image-based machine learning, hardware automation, and sensor fusion. This role combines technical leadership with hands-on development, working with electrical, mechanical, and process engineering teams to implement complex, interdisciplinary requirements.

You'll be responsible for architecting and implementing sophisticated embedded software platforms that process petabytes of high-rate data on the edge and automate factory systems worldwide. The position offers an opportunity to work in a state-of-the-art 35,000 square foot facility in Hawthorne, CA, alongside other high-growth startups in LA's emerging tech ecosystem.

The role offers significant growth potential with competitive compensation ($200,000-$400,000+) plus substantial equity, comprehensive benefits, and the chance to shape the future of manufacturing. While 3D printing experience isn't required, we seek smart, motivated engineers passionate about solving complex technical challenges and driving innovation.

You'll join an inclusive, diverse culture that values collaboration and data-driven decision-making. The position offers the unique opportunity to be an early, integral member of a rapidly growing company scaling world-changing technology. Benefits include full medical coverage, 401(k), relocation assistance, flexible work hours, and daily catered meals.

Lead embedded software development for autonomous 3D printing factories, focusing on edge computing, ML, and hardware automation at Freeform's Hawthorne facility.

Principal Software Engineer

Deploying software-defined, autonomous metal 3D printing factories with proprietary technology stack for advanced sensing and data-driven learning.

Freeform is revolutionizing manufacturing through software-defined, autonomous metal 3D printing factories. As a Senior Machine Learning Engineer, you'll be at the forefront of developing advanced AI solutions for their cutting-edge manufacturing technology. The role combines deep learning, physics modeling, and real-world applications in a unique way that impacts physical production processes.

The position requires expertise in machine learning, particularly as it relates to physical systems and manufacturing processes. You'll work on challenging problems like developing predictive models for metal 3D printing, creating unsupervised learning algorithms for quality control, and building deep learning frameworks for complex physics simulations. The role offers a unique opportunity to apply ML to real-world manufacturing challenges.

Located in Hawthorne, CA, in a 35,000 square foot state-of-the-art facility, you'll be part of LA's growing tech ecosystem. The company offers competitive compensation ($140,000-$250,000) plus significant equity, comprehensive benefits, and a collaborative culture focused on innovation. They provide full medical coverage, 401(k), relocation assistance, and various perks including catered meals.

This is an ideal role for someone who wants to apply machine learning to transform manufacturing, working with cutting-edge technology in a fast-paced startup environment. The position offers both technical challenges and the opportunity to make a significant impact on the future of industrial production. No prior 3D printing experience is required - they value smart, motivated engineers who excel at problem-solving.

Senior Machine Learning Engineer role at Freeform, developing AI solutions for autonomous metal 3D printing factories, combining deep learning with physics-based modeling.

Senior Machine Learning Engineer

Freeform is revolutionizing manufacturing through autonomous metal 3D printing factories. As a Senior Machine Learning Engineer, you'll be at the forefront of developing advanced AI solutions for their cutting-edge manufacturing technology. The role combines deep learning, physics modeling, and real-world applications in a unique way.

You'll work on challenging problems like developing predictive models for metal 3D printing processes, creating unsupervised learning algorithms for quality control, and building machine health monitoring systems. The position requires expertise in both theoretical machine learning and practical implementation, with a focus on physics-based applications.

The company offers an attractive compensation package including a salary range of $140,000-$250,000, plus significant equity options. Benefits are comprehensive, including fully paid medical insurance, 401(k), and generous parental leave. Located in a 35,000 square foot state-of-the-art facility in Hawthorne, CA, you'll be part of LA's growing tech ecosystem.

This is an exceptional opportunity for a senior ML engineer who wants to apply their skills to revolutionary manufacturing technology. The role offers the perfect blend of theoretical machine learning challenges and practical applications, with the potential to make a significant impact on the future of manufacturing. The collaborative culture, focus on innovation, and comprehensive benefits make this an attractive position for someone looking to work on cutting-edge technology with real-world applications.

Freeform is revolutionizing the manufacturing industry by developing autonomous metal 3D printing factories powered by advanced software and machine learning. As a Senior Machine Learning Engineer, you'll be at the forefront of combining cutting-edge ML techniques with physical world applications.

The role offers a unique opportunity to work on complex challenges at the intersection of machine learning and advanced manufacturing. You'll be developing sophisticated data models and deep learning frameworks that control and optimize metal 3D printing processes. The position requires expertise in pattern recognition, predictive modeling, and the ability to bridge the gap between theoretical ML and practical physics-based applications.

Working from their state-of-the-art 35,000 square foot facility in Hawthorne, CA, you'll collaborate with a diverse team of engineers to build the future of digital manufacturing. The company offers an impressive compensation package including a salary range of $140,000-$250,000, comprehensive benefits, and significant equity opportunities.

The ideal candidate brings 5+ years of advanced machine learning experience and a strong foundation in computer science or related fields. While 3D printing experience isn't required, you should be passionate about applying ML to solve complex physical world problems. You'll be responsible for developing everything from unsupervised learning algorithms for quality control to machine health monitoring systems.

Freeform provides an inclusive culture focused on collaboration and data-driven decision making. As an early team member, you'll have significant influence on the technical direction of a rapidly growing company that's scaling world-changing technology. The position offers excellent growth potential and the chance to work on meaningful problems that bridge the digital and physical worlds.

Senior Machine Learning Engineer role at Freeform, developing advanced ML solutions for metal 3D printing technology with focus on predictive modeling and deep learning.

Freeform is revolutionizing the manufacturing industry by developing autonomous metal 3D printing factories powered by advanced software and machine learning. As a Senior Machine Learning Engineer, you'll be at the forefront of combining cutting-edge ML techniques with physical world applications. The role offers a unique opportunity to work on complex challenges in advanced manufacturing, developing everything from predictive models to deep learning frameworks for laser melting technology.

The position requires strong expertise in machine learning, particularly as it relates to physics and real-world applications. You'll be responsible for designing and implementing critical data science infrastructure, developing custom ML algorithms, and working closely with simulation and software engineers to deploy solutions in production. The role combines theoretical ML knowledge with practical engineering challenges, making it ideal for someone who enjoys applying advanced algorithms to solve tangible problems.

Located in a state-of-the-art 35,000 square foot facility in Hawthorne, CA, you'll be part of Los Angeles' growing tech ecosystem. The company offers competitive compensation ($140,000-$250,000) plus significant equity, comprehensive benefits including 100% paid medical/dental/vision, and a collaborative culture that values data-driven decision making.

This is an exceptional opportunity for an experienced ML engineer who wants to make a significant impact in the future of manufacturing. While 3D printing experience isn't required, you'll need strong fundamentals in machine learning, pattern recognition, and software development. The role offers the chance to work on unique technical challenges while helping scale a transformative technology that's changing how things are made.

Freeform is revolutionizing the manufacturing industry by developing autonomous metal 3D printing factories powered by advanced software and machine learning. As a Senior Machine Learning Engineer, you'll be at the forefront of combining cutting-edge ML techniques with physical world applications.

The role involves designing and implementing sophisticated machine learning solutions for metal 3D printing processes, including predictive modeling, deep learning frameworks, and unsupervised learning algorithms. You'll work on challenging problems like correlating process data with print quality and geometric features, while collaborating with simulation engineers to predict thermo-mechanical responses of printed parts.

The position requires strong expertise in machine learning, particularly as it relates to physics and the physical world. You'll need proficiency in Python, C/C++, and experience with advanced pattern recognition and deep learning techniques. While 3D printing experience isn't required, you should be passionate about solving complex technical challenges and creating innovative solutions.

Working from our state-of-the-art 35,000 square foot facility in Hawthorne, CA, you'll join a diverse and inclusive culture that values collaboration and data-driven decision making. The compensation package is highly competitive, including a salary range of $140,000-$250,000, significant stock options, and comprehensive benefits including fully paid medical insurance and 401(k).

This is an exceptional opportunity to be part of a growing company that's scaling world-changing technology. You'll work with cutting-edge technology, have significant impact on the company's direction, and help shape the future of manufacturing through advanced machine learning applications. The role offers both technical challenges and growth opportunities, making it ideal for someone who wants to apply ML expertise to real-world manufacturing problems.

Senior Machine Learning Engineer position at Freeform, developing advanced ML solutions for metal 3D printing technology.

Freeform deploys software-defined, autonomous metal 3D printing factories, leveraging advanced sensing and data-driven learning to produce digitally-verified parts.

Freeform is revolutionizing manufacturing through software-defined, autonomous metal 3D printing factories. As a Senior Machine Learning Engineer, you'll be at the forefront of combining advanced AI with physical manufacturing processes. The role demands expertise in pattern recognition, predictive modeling, and deep learning algorithms, particularly as they relate to physics and the physical world.

You'll be instrumental in designing and developing critical data science infrastructure and custom machine learning algorithms that will power the world's first production-scale, high-quality, and fully-automated metal 3D printing factory architecture. Located in Hawthorne, CA, in a 35,000 square foot state-of-the-art facility, you'll work alongside innovative engineers in Los Angeles' vibrant tech ecosystem.

The position offers a competitive salary range of $140,000-$250,000, plus significant equity opportunities. The comprehensive benefits package includes 100% employer-paid medical, dental, and vision insurance, 401(k), relocation assistance, and generous paid leave policies. The company culture emphasizes collaboration, data-driven decision-making, and work-life balance with perks like catered meals and flexible hours.

This role requires 5+ years of experience in advanced machine learning and a strong background in computer science or related fields. While 3D printing experience isn't required, you should be passionate about solving complex problems at the intersection of software and physical systems. You'll work on fascinating challenges like developing deep learning frameworks for laser melting technology, creating unsupervised learning algorithms for quality control, and building predictive models for thermo-mechanical responses.

Join Freeform to be part of a transformative team that's making advanced manufacturing more accessible and efficient through the power of AI and automation. Your work will directly impact the future of industrial production while you grow professionally in a supportive, innovation-driven environment.

Senior Machine Learning Engineer role at Freeform, developing AI solutions for autonomous metal 3D printing factories, offering $140-250K salary plus equity in Los Angeles.

Freeform is revolutionizing manufacturing through software-defined, autonomous metal 3D printing factories. As a Senior Machine Learning Engineer, you'll be at the forefront of combining advanced ML with physical manufacturing. The role demands expertise in pattern recognition, predictive modeling, and deep learning algorithms, particularly as they relate to physics and the physical world. You'll be crucial in designing and implementing data science infrastructure and developing custom ML algorithms from scratch.

The position offers an opportunity to work in a 35,000 square foot, state-of-the-art facility in Hawthorne, CA, alongside other innovative startups in LA's emerging tech ecosystem. You'll be responsible for developing sophisticated data models for predictive control, creating deep learning frameworks for laser melting technology, and implementing unsupervised learning algorithms for quality control.

The compensation package is highly competitive, ranging from $140,000 to $250,000, plus significant stock options. The company offers comprehensive benefits including fully-paid premium healthcare, 401(k), generous parental leave, and daily catered meals. The work environment promotes collaboration, data-driven decision-making, and continuous learning.

This role presents a unique opportunity to shape the future of manufacturing through ML applications. While 3D printing experience isn't required, the ideal candidate should be passionate about solving complex problems at the intersection of software and physical systems. You'll work closely with simulation engineers and software teams, making this perfect for someone who enjoys cross-functional collaboration and wants to make a significant impact in advanced manufacturing technology.

Senior Machine Learning Engineer role at Freeform, developing ML solutions for autonomous metal 3D printing factories, offering $140-250K salary plus equity in Hawthorne, CA.

Freeform is revolutionizing manufacturing through software-defined, autonomous metal 3D printing factories. As a Senior Machine Learning Engineer, you'll be at the forefront of developing advanced AI solutions for their cutting-edge manufacturing technology. The role combines deep learning, physics modeling, and real-world applications in a unique way.

The position requires expertise in machine learning, particularly as it relates to physical systems and manufacturing processes. You'll work on challenging problems like developing predictive models for metal 3D printing, creating unsupervised learning algorithms for quality control, and building frameworks that combine physics-based models with data-driven approaches.

Located in a state-of-the-art 35,000 square foot facility in Hawthorne, CA, you'll be part of Los Angeles' growing tech ecosystem. The company offers an impressive benefits package including fully paid premium healthcare, significant equity compensation, and various lifestyle perks like catered meals.

This is an opportunity to join a transformative company that's making advanced manufacturing more accessible and efficient. The role offers both technical challenges and the chance to make a real impact on the future of manufacturing. With a salary range of $140,000-$250,000 plus equity, it's competitively compensated to attract top talent.

The ideal candidate will have 5+ years of machine learning experience, strong programming skills, and the ability to apply first-principles thinking to complex problems. While 3D printing experience isn't required, a passion for solving hard technical problems and creating innovative solutions is essential.

Freeform is revolutionizing the manufacturing industry by developing autonomous metal 3D printing factories powered by advanced software and machine learning. As a Senior Machine Learning Engineer, you'll be at the forefront of combining ML with physical systems, working on cutting-edge problems in advanced pattern recognition and predictive modeling.

The role involves designing and implementing critical data science infrastructure and developing custom machine learning algorithms from scratch. You'll be working with physics-based models, developing deep learning frameworks for laser melting technology, and creating unsupervised learning algorithms to correlate data with printed part quality. The position requires expertise in both theoretical ML concepts and practical implementation in a production environment.

The company offers an exceptional opportunity to work in a 35,000 square foot, state-of-the-art facility in Hawthorne, CA, alongside other innovative startups in LA's growing tech ecosystem. You'll be joining a collaborative, diverse team focused on data-driven decision making and scaling world-changing technology.

The compensation package is highly competitive, ranging from $140,000 to $250,000, plus significant stock options. Benefits include 100% employer-paid premium healthcare, 401(k), generous parental leave, and daily catered meals. The company culture emphasizes work-life balance with flexible hours and regular team events.

This role is perfect for someone who combines strong ML expertise with an interest in physical systems and manufacturing. While 3D printing experience isn't required, you should be passionate about solving complex technical challenges and creating innovative solutions. You'll have the opportunity to make a significant impact on the future of manufacturing while working with cutting-edge technology in a well-funded, rapidly growing company.

Freeform is revolutionizing manufacturing through software-defined, autonomous metal 3D printing factories. As a Senior Machine Learning Engineer, you'll be at the forefront of developing advanced AI solutions for their cutting-edge manufacturing technology. The role combines deep learning, physics modeling, and real-world applications in a unique way.

The position requires expertise in machine learning, particularly as it relates to physical systems and manufacturing processes. You'll work on challenging problems like developing predictive models for metal 3D printing, creating unsupervised learning algorithms for quality control, and building frameworks that combine physics-based models with data-driven approaches.

Located in a state-of-the-art 35,000 square foot facility in Hawthorne, CA, you'll be part of Los Angeles' growing tech ecosystem. The company offers an impressive benefits package including fully paid premium healthcare, significant equity compensation, and various lifestyle perks like catered meals.

This is an opportunity to join a rapidly growing company that's scaling world-changing technology. The role offers a competitive salary range of $140,000-$250,000, plus equity, making it an attractive opportunity for experienced machine learning engineers looking to make an impact in advanced manufacturing.

The ideal candidate will have 5+ years of machine learning experience, strong programming skills, and the ability to apply first-principles reasoning to complex problems. While 3D printing experience isn't required, a passion for solving hard technical challenges and creating innovative solutions is essential.

Freeform Engineering Jobs

Deploying software-defined, autonomous metal 3D printing factories with proprietary technology stack for advanced sensing and real-time controls.