Machine Learning Engineer
The Head of Data Science at a well-known car sharing brand who is looking to bring on a Machine Learning Engineer for their San Mateo office.
This team is working with Geospatial Data for Fleet Allocation to figure out the most valuable locations to place the cars. They are looking for either someone with that Geospatial (GIS) experience or a strong Data Scientist with a heavy coding background. In this role, you'd be implementing recommendation models primarily in Python and help integrate this new optimization platform to the core platform.
Required Skills & Experience
- BS in Computer Science, Mathematics, Statistics, Engineering, or equivalent experience
- Experience working with big data technologies, including:
- AWS computing and storage stack (e.g. S3, EC2, EMR)
- Data processing frameworks (e.g. Spark, Dask)
- Data querying (e.g. PL/SQL, Athena, Redshift, SparkSQL)
- Programming languages (e.g. Python, Java, Scala)
- Experience deploying statistical and machine learning models in real world applications
- Experience parallelizing and tuning models to improve performance
- Experience with modern software tooling for rapid development and deployment
- Excellent verbal and written communication skills
Nice to Have
- Domain knowledge in transportation networks, car sharing, or operations research
- Experience with geospatial data
Tech Breakdown
- Python
Daily Responsibilities
- Collaborate with data scientists and analysts to translate prototypes into scaleable, robust models
- Collaborate with software engineers and data engineers to deploy models in production
- Build and manage reusable ML workflows that enable us to track various models, versions, and experiments
The Offer
- Competitive salary & 401(k) plan
- Two work from home days
Workbridge Associates, part of the Motion Recruitment network, provides IT Staffing Solutions (Contract, Contract-to-Hire, and Direct Hire) in major North American markets. Our unique expertise in today’s highest demand tech skill sets, paired with our deep networks and knowledge of our local technology markets, results in an exemplary track record with candidates and clients.
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