Machine Learning Engineer, Machina Labs
$122-156k
+ Stock Options
Manufacturing robotics and AI technology
Open for applications
Manufacturing robotics and AI technology
21-100 employees
Open for applications
$122-156k
+ Stock Options
21-100 employees
Company mission
To accelerate the development and adoption of advanced sensors, controls, platforms and models that will enable the next generation of manufacturing.
Role
Who you are
- Bachelor’s, MS or Ph.D. in related fields (Data Science, Computer Science and Machine Learning, Statistics or a quantitative-related field) or equivalent professional experience
- 2+ years of experience with machine learning systems, algorithms or applications such as deep learning and time series analysis
- Startup / early product development experience
- Good understanding of fundamental CS algorithms and their scaling behaviors in data structures, algorithms, and software design
- Strong programming background, with extensive experience in Python
- In-depth knowledge of build/release systems and process
- Experience working with data warehouses, data lakes, and ETL
- Experience working with big data platforms (Hadoop, Spark, Hive) and orchestration frameworks (Airflow) and analytic environments (Databricks, Sagemaker, Jupyter)
- Able to quickly learn new technologies
- Experience in fast-paced iterative design and manufacturing environments
- Strong communicator who can explain complex topics to both a technical and non-technical audience
- Experience solving complex problems with little to no supervision on schedule as an individual or as a member of an integrated team
What the job involves
- As a Machine Learning Engineer and an early member of our small team, you will own a significant portion of our product and the company
- You will develop models to accurately predict important process parameters that are used in our production systems
- Every second our robots and the sensors generate a tremendous amount of data that needs to be properly captured, stored, analyzed, and modeled to enable new smart manufacturing technologies
- These technologies will enable our leading aerospace and automotive customers to make parts faster, cheaper and enable production of parts that weren't possible
- The models you build will have different varieties. The data can be both structured or unstructured
- You are in charge of properly defining the problems you are solving, capturing the right data, doing experimentations, cleaning data, modeling and deploying your models
- One day you might be using regression to predict forces we see in our manufacturing processes and another day you might use neural networks to predict deformation in our parts from scanned parts
- Work closely with the Engineering team to uncover opportunities for machine learning automation and predictive modeling across all Machina Labs offerings
- Perform data mining to find interesting and impactful data and finally develop, train and deploy models
- Define proper metrics for each project that can tie into the business objective
- Perform data cleaning and ETLs to extract relevant features for modeling
- Help other members of the team with data analysis and proper interpretation of data
- Proper A/B testing of different solutions or models
- Build pipeline that supports running multiple machine learning models in parallel in production
- Build monitoring tools to understand the data quality and performance of complex systems
- Empathetically help other engineers grow
- Actively participate in the interview process
Our take
Machina Labs provides robotics and AI technology for the manufacturing industry, aiming to increase the speed of design lifecycles, whilst making them more flexible and of higher quality. The company leverages AI-driven robotics to automate tasks that otherwise require human interruption, with AI also being used to improve the cost efficiency, reusability, reliability, and sustainability of manufacturing cycles.
Whilst AI-driven robotics in the manufacturing industry is becoming increasingly common, Machina Labs has taken the unique approach of leveraging AI to identify opportunities for design lifecycle innovation. The company received early endorsements from partnerships with the U.S. Air Force and NASA as it has shown great potential to disrupt the manufacturing industry with a fresh approach to the use cases of AI and robotics.
Machina Labs has drawn in several investments in 2023, one with Lockheed Martin Ventures in January and the other from Yamaha Motor Ventures in February. The funding is set to be used to accelerate growth to meet customer demand, while expanding its range of alloys.
Freddie
Company Specialist
Insights
84% employee growth in 12 months
Company
Funding (1 round)
Jun 2020
$50m
LATE VC
Total funding: $50m
Company benefits
- Remote Work Opportunities
Company values
- BE A CRAFTS(WO)MAN - We bias towards action and iterative progress
- CREATING A BETTER FUTURE FOR EVERYONE - We identify challenges and risks and then boldly commit to them
- DRIVEN BY LOGIC AND DATA - We don’t fear failure as long as there is learning
- PROGRESS > PERFECT - We operate with a strong sense of urgency to generate results
- EGO IS THE ENEMY - We practice self-awareness, respect, trust, and transparency
Company HQ
Chatsworth, Los Angeles, CA
Articles
Leadership
Edward Mehr
(CEO)Experience as Program Manager for Relativity's Large Envelope Metal 3D Printing from 2016 to 2018. Data Science Advisor for Bird from 2018 to 2019, and Technical Advisor for Insight Data Science from 2019 to 2021.
Babak Raeisinia
(Head of Partnerships)Initially served as the company's CTO until 2022. Experience as US Business Development Manager and Senior Alloy Design Engineer for Alloyed from 2017 to 2019. Principal of NEOS since 2019.
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