Job description

Company: Machina Labs, founded in 2019 by aerospace and auto industry veterans, is a Los Angeles-based smart manufacturing company. Leveraging advancements in AI and robotics, Machina Labs develops software-defined factories to create modular manufacturing solutions. The company, backed by major investors in AI and Deep Tech, is currently developing the first commercial robotic sheet metal forming machine.

Job Description: As a Machine Learning Engineer and early team member, you will play a crucial role in developing models for predicting key process parameters in our production systems. Your responsibilities include handling large volumes of data generated by robots and sensors, building empirical models, and developing reliable software. The role requires expertise in agile development, data modeling, and deploying machine learning models for smart manufacturing technologies. This is an onsite position based at our HQ in Chatsworth, CA. Responsibilities 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. Qualifications 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. Join Machina Labs and apply your expertise to contribute to groundbreaking projects in a startup culture that values experience and offers exciting opportunities for professional growth. Help shape the future of smart manufacturing!

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