Responsibilities
- Lead end-to-end deployment of machine learning applications into production environments, transforming experimental models into measurable business outcomes.
- Conduct rigorous performance evaluations against established client benchmarks such as XGBoost and LightGBM, including full ownership of data processing, feature development, and validation.
- Partner with research and product teams to convert real-world operational challenges and data irregularities into actionable product requirements.
- Contribute to technical planning by identifying suitable business opportunities, avoiding data leakage risks, and managing final-stage integrations across secure environments like VPCs, on-prem systems, and air-gapped networks.
- Coordinate with Sales and Solution Architects to unify stakeholder objectives and communicate model outputs clearly to non-technical audiences.
Benefits
- Attractive pay package including base salary and equity participation.
- Extensive health benefits covering medical, dental, and vision for employees and their families, along with 401K plan access.
- Paid leave program for new parents, inclusive of adoption and surrogacy arrangements.
- Financial and logistical support for employees relocating to join an office-based team.
- Inclusive, purpose-oriented workplace culture emphasizing humility, diverse perspectives, accountability, and proactive execution.
Compensation
Competitive salary and equity offered
Work Arrangement
Remote (Country)
Team
Cross-functional collaboration with research, product, sales, and engineering teams
Other
Relocation support for employees moving to join the team in one of our office locations
Not specified
