Role OverviewAs a Senior Machine Learning Engineer, you will build ML models for production use, perform in-depth exploratory data analysis, and suggest new features to improve model performance and business logic. You will work on new and challenging problems, and have interesting, unsolved problems continually present themselves. You will be part of a team that is growing and learning in the data & ML space, with a focus on business problems that require making sense of large-scale structured and unstructured datasets.
What You Will Do
Your main day-to-day responsibilities will include building ML models for production use, performing in-depth exploratory data analysis, suggesting new features to improve model performance and business logic, and writing and reviewing production-quality PRs daily.
Why It Might Be a Fit
You will be a good fit for this role if you thrive on first principles problems, love innovation and making an immediate impact, and are constantly driving toward launch and delivery thanks to your high degree of ownership and control.
Requirements
- 2+ years of experience as a Machine Learning Engineer or Data Scientist
- Deep exposure to data science & ML tech stacks (sklearn, Keras / PyTorch, tuning frameworks)
- Excellent written and verbal communication skills
- Ability to effectively correspond between technical and non-technical audiences
- Team player who is solutions-oriented
Benefits
- Annual bonus plan
- Company equity plan (RSUs)
- Medical, dental, vision, short & long-term disability, life insurance and AD&D
- 401k matching
- Paid time off and sick leave
- 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers)
- Flexible schedule for new parents returning to work
- Catered lunches
- Happy hours
- Pet-friendly spaces
- Monthly technology stipend
- $1,000/year for each employee for professional development
- Tuition reimbursement
- Sponsorship for visa transfer
]]>