Senior Machine Learning Engineer
Viaduct · Remote - San Francisco, Menlo Park, San Francisco Bay Area · Remoto · Wellfound
Esta vaga é restrita a candidatos em: EUA. Cidade: San Francisco. Modalidade: Remoto
Sobre a vaga
You are an effective engineer. Whether it be designing a more efficient ML pipeline, developing cutting-edge algorithms, or explaining model behavior to clients, you are up for the challenge. You are the communication bridge between infrastructure and data science, keeping both teams aligned on priorities and goals. You have a propensity for creating processes to help you and the rest of the team be more productive. You embrace new and unfamiliar responsibilities.
Day 5- Learn about Viaduct’s history and mission
- Get to know every team member
- Set up your development environment
- Understand Viaduct’s ML pipeline and identify opportunities for improvement
- Deep dive into the nuances of vehicle data and current modeling techniques
- Attend our weekly ML lunch
- Improve Viaduct’s existing ML pipeline
- Start planning for Viaduct’s future modeling needs
- Collaborate with engineers on system and tooling improvements
- Deploy models to production
- Present your work at our weekly ML lunch
- Be a leader on the machine learning team
- Build new products at the forefront of machine learning
- Simplify patterns for promoting a model to production
- Present your models and relevant metrics to clients
- Able to communicate complex ideas from ML research papers
- 6+ years in software development
- 4a+ years working with production ML pipelines and large-scale data processing tools (Spark, Hadoop, Airflow, etc)
- Extensive Python experience (TensorFlow, CVXPY, PyTorch)
- Experience as a tech lead and mentor
- Familiar with the requirements of real-time inference
- Masters or PhD preferred
- Work with established experts in deep learning, time-series analytics, and convex optimization
- Endless opportunities for technical learning and personal growth
- Full health, vision, and dental benefits
If the challenge of helping automakers create a future of safe, reliable, and personalized vehicles excites you, please reach out at [email protected]!