ZipRecruiter
Senior Machine Learning Engineer
ZipRecruiter, Los Angeles, California, United States, 90079
Job DescriptionJob Description SENIOR MACHINE LEARNING ENGINEER
Freeform is deploying software-defined, autonomous metal 3D printing factories around the world, bringing the scalability of software to physical production. Our proprietary technology stack leverages advanced sensing, real-time controls, and data-driven learning to produce digitally-verified, flawless parts at unprecedented speed and cost. Our mission is to make the transformative power of 3D printing available to all industries at scale and unlock the future of innovation.
As a Senior Machine Learning Engineer at Freeform, you'll need extensive experience in advanced pattern recognition, predictive modeling techniques, and deep learning algorithms, and should have experience with machine learning as it relates to physics or the physical world. You will play a key role in designing, developing, and integrating critical data science infrastructure and developing custom machine learning algorithms from scratch. Ultimately your solutions with enable us to scale the first production-scale, high-quality, and fully-automated metal 3D printing factory architecture. As a crucial member of the engineering team you will be responsible for driving the pace of innovation, maximizing development speed, and maintaining a standard of excellence within the entire engineering team.
3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology!
Responsibilities:
Design and develop data models used for model predictive control in an advanced production-scale metal 3D printing system
Integrate data models and physics-based models into a unified simulation framework
Develop a deep learning framework for modeling the complex physics associated with laser melting printing technology
Develop unsupervised learning algorithms to correlate data with printed part quality
Develop methods to correlate process data with geometric features
Work closely with simulations engineers to create data models to be used to predict the thermo-mechanical response of printed parts
Develop learning modules for machine health monitoring
Work with software engineers to deploy data science algorithms in production software
Guide software engineers to develop the big data infrastructure required to collect and process large amounts of production printing data
Develop data models used for the end-to-end automation of an advanced metal 3D printing platform
Basic Qualifications:
Bachelor's degree in computer science, applied mathematics, machine learning, data science, or similar technical discipline
5+ years of experience in advanced machine learning
Proficient with Python, C/C++ or similar object oriented
Proficient in advanced pattern recognition, predictive modeling and deep learning techniques
Experience with machine learning or data science as it relates to physics or the physical world
Nice to Have:
Master's or PhD in computer science, applied mathematics, machine learning, data science highly
Experience with computational geometry
Proficient in data mining and statistical analysis
Experience with both supervised and unsupervised learning techniques
Experience with image processing
Proficient with NoSQL databases, such as MongoDB or Cassandra
Experience using query such as SQL or Hive
Knowledge of MATLAB
Creative thinker able to apply first-principles reasoning to solve complex problems
Excellent verbal and written communication skills
Location:
We are located in Hawthorne, CA in a 35,000 square foot, state-of-the-art facility featuring large open spaces for team collaboration, R&D, and production, as well as easy access to the 405, 105, and 110 freeways. Our facility is in the heart of Los Angeles' vibrant emerging tech ecosystem alongside many other high growth startups and enterprises.
What We Offer:
We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions.
We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology.
Benefits
Significant stock option packages
100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)
Life insurance
Traditional and Roth 401(k)
Relocation assistance provided
Paid vacation, sick leave, and company holidays
Generous Paid Parental Leave and extended transition back to work for the birthing parent
Free daily catered lunch and dinner, and fully stocked kitchenette
Casual dress, flexible work hours, and regular catered team building events
Compensation
As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company's current stage of development and allows the employee to grow and develop within a role.
In addition to the significant stock option package, the estimated salary range for this role is $140,000-$250,000,
inclusive of all levels/seniority within this discipline.
Freeform is an Equal Opportunity Employer that values ; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by , , , , /, veteran status, disability status, , , , marital status, mental or physical disability or any other legally protected status.
Freeform is deploying software-defined, autonomous metal 3D printing factories around the world, bringing the scalability of software to physical production. Our proprietary technology stack leverages advanced sensing, real-time controls, and data-driven learning to produce digitally-verified, flawless parts at unprecedented speed and cost. Our mission is to make the transformative power of 3D printing available to all industries at scale and unlock the future of innovation.
As a Senior Machine Learning Engineer at Freeform, you'll need extensive experience in advanced pattern recognition, predictive modeling techniques, and deep learning algorithms, and should have experience with machine learning as it relates to physics or the physical world. You will play a key role in designing, developing, and integrating critical data science infrastructure and developing custom machine learning algorithms from scratch. Ultimately your solutions with enable us to scale the first production-scale, high-quality, and fully-automated metal 3D printing factory architecture. As a crucial member of the engineering team you will be responsible for driving the pace of innovation, maximizing development speed, and maintaining a standard of excellence within the entire engineering team.
3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology!
Responsibilities:
Design and develop data models used for model predictive control in an advanced production-scale metal 3D printing system
Integrate data models and physics-based models into a unified simulation framework
Develop a deep learning framework for modeling the complex physics associated with laser melting printing technology
Develop unsupervised learning algorithms to correlate data with printed part quality
Develop methods to correlate process data with geometric features
Work closely with simulations engineers to create data models to be used to predict the thermo-mechanical response of printed parts
Develop learning modules for machine health monitoring
Work with software engineers to deploy data science algorithms in production software
Guide software engineers to develop the big data infrastructure required to collect and process large amounts of production printing data
Develop data models used for the end-to-end automation of an advanced metal 3D printing platform
Basic Qualifications:
Bachelor's degree in computer science, applied mathematics, machine learning, data science, or similar technical discipline
5+ years of experience in advanced machine learning
Proficient with Python, C/C++ or similar object oriented
Proficient in advanced pattern recognition, predictive modeling and deep learning techniques
Experience with machine learning or data science as it relates to physics or the physical world
Nice to Have:
Master's or PhD in computer science, applied mathematics, machine learning, data science highly
Experience with computational geometry
Proficient in data mining and statistical analysis
Experience with both supervised and unsupervised learning techniques
Experience with image processing
Proficient with NoSQL databases, such as MongoDB or Cassandra
Experience using query such as SQL or Hive
Knowledge of MATLAB
Creative thinker able to apply first-principles reasoning to solve complex problems
Excellent verbal and written communication skills
Location:
We are located in Hawthorne, CA in a 35,000 square foot, state-of-the-art facility featuring large open spaces for team collaboration, R&D, and production, as well as easy access to the 405, 105, and 110 freeways. Our facility is in the heart of Los Angeles' vibrant emerging tech ecosystem alongside many other high growth startups and enterprises.
What We Offer:
We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions.
We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology.
Benefits
Significant stock option packages
100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)
Life insurance
Traditional and Roth 401(k)
Relocation assistance provided
Paid vacation, sick leave, and company holidays
Generous Paid Parental Leave and extended transition back to work for the birthing parent
Free daily catered lunch and dinner, and fully stocked kitchenette
Casual dress, flexible work hours, and regular catered team building events
Compensation
As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company's current stage of development and allows the employee to grow and develop within a role.
In addition to the significant stock option package, the estimated salary range for this role is $140,000-$250,000,
inclusive of all levels/seniority within this discipline.
Freeform is an Equal Opportunity Employer that values ; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by , , , , /, veteran status, disability status, , , , marital status, mental or physical disability or any other legally protected status.