Senior Software Engineer, Machine Learning

• Identify opportunities for machine learning automation and predictive modeling by analyzing available data and collaborating with engineers and manufacturing process experts.
• Conduct data mining, develop model architectures, train and deploy models, and define metrics aligned with business objectives.
• Design, develop, and deploy ETL and data cleansing processes to extract relevant features for modeling (in collaboration with other team members).
• Assist team members in data analysis and interpretation.
• Design and conduct experiments to test and validate solutions and 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 interview processes to hire additional team members.

• MS or PhD. in Data Science, Computer Science, Machine Learning, Statistics, or a related field.
• 4+ years of hands-on experience in machine learning systems, algorithms, and applications (e.g. deep learning, time series analysis, etc.).
• Experienced and very comfortable coming up with machine learning architectures and training models from scratch.
• Extensive Python programming experience.
• Familiarity with big data platforms (Hadoop, Spark, Hive) and analytics environments (Databricks, Sagemaker/Azure ML, Jupyter).
• Experience in build/release systems and processes.
• Quick learner of new technologies and experienced in fast-paced iterative design.
• Strong communicator with the ability to explain complex topics to technical and non-technical audiences.
• Startup/Early Product Development experience is a plus!
• Proven track record of being able to solve complex problems independently and as part of an integrated team.

• Experience in reinforcement learning.
• Experience incorporating very large scale multi-dimensional point clouds into learning frameworks.
• Experience with unsupervised learning techniques.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.