Responsibilities
- Collaborate with engineering, data science, product, and business teams to implement machine learning solutions with measurable impact.
- Conduct data exploration and develop proof-of-concept prototypes to identify viable ML approaches for new or existing challenges.
- Create statistical, optimization, or machine learning models tailored to specific use cases.
- Develop robust, production-grade code to deploy and scale ML systems effectively.
- Assess performance of machine learning models in alignment with business objectives.
Requirements
- Bachelor’s, Master’s, or Doctoral degree in Computer Science or a quantitative discipline, or equivalent practical experience.
- Minimum of five years of professional experience in machine learning.
- Strong programming skills in Python, Golang, or similar languages.
- Exceptional written and verbal communication abilities in English.
- Deep knowledge of machine learning techniques, including supervised learning, forecasting, recommendation engines, reinforcement learning, and multi-armed bandits.
Nice to Have
- Enthusiasm for creating high-impact ML models with deep expertise in one or more specialized domains.
Benefits
- Comprehensive medical, dental, and vision coverage with expanded options for enrollees.
- Access to mental health resources and support programs.
- Benefits supporting family formation and fertility care.
- Support for child care and pet-related expenses.
- 401(k) plan featuring employer matching contributions.
- Twelve company-recognized holidays plus flexible paid time off for salaried employees; hourly staff receive 15 paid days off annually.
- Eighteen weeks of paid leave for parents, including biological, adoptive, and foster caregivers.
- Subsidized commuting options for employees.
- Monthly ride credits and a free premium membership for discounted rides.
Work Arrangement
Hybrid
Other
- The company emphasizes in-office work to support collaboration and cultural cohesion.
- This position follows a hybrid schedule requiring presence in the office three days per week, specifically on Mondays, Wednesdays, and Thursdays.
- Working on-site for at least three days weekly is considered a core requirement for this hybrid role.
- Recruiters can provide further details about on-site amenities and office benefits.
- Hybrid employees may work remotely from any location for up to four weeks annually.
