1 day ago
Base Salary
$150k - $190k/yr
Responsibilities
- Work closely with simulation engineers, data scientists, and customers to understand engineering challenges.
- Design, build, and test reliable and scalable ML data pipelines.
- Explore and manipulate 3D point cloud and mesh data.
- Own the delivery of technical workstreams.
- Create analytics environments in the cloud or on-premise.
- Identify the best libraries, frameworks, and tools for tasks.
- Translate R&D results into reusable libraries and products.
- Continuously improve engineering best practices and coach colleagues.
Requirements
- Experience applying machine learning methods to real-world engineering applications.
- Experience in ML/Computational statistics/Modeling use-cases in industrial settings.
- A track record of scoping and delivering projects in a customer-facing role.
- 2+ years’ experience in a data-driven role with exposure to software engineering concepts.
- Proficiency in building ML models and pipelines in Python using common libraries.
- Familiarity with distributed computing frameworks like Spark or Dask.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Knowledge of containerization and orchestration tools like Docker and Kubernetes.
- Strong problem-solving skills and the ability to analyze issues quickly.
- Excellent collaboration and communication skills.
- A background in Physics, Engineering, or equivalent.
Benefits
- Equity options to share in the company's success.
- 5% contribution to 401(k) for long-term security.
- Free team lunch once a week for team bonding.
- Private health insurance for comprehensive coverage.
- Enhanced parental leave with full pay for maternity and paternity.
- 20 days of annual leave plus public holidays.
- Dedicated support for personal development and learning.
- Subsidized gym membership for physical and mental wellbeing.
- Flexible Spending Account (FSA) for eligible healthcare expenses.