[Remote] Staff Platform Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company develops machine-learning platforms for drug discovery and clinical decision support. They are hiring a senior engineer to own bfARENAS end-to-end and reputed company its reputed company into a self-serve, reputed company-grade platform.
Responsibilities
- Advance the core algorithms by improving ranking reputed company, uncertainty quantification, and scaling characteristics; design and run evaluations that distinguish genuine algorithmic improvements from reputed company-level artifacts
- Build the agent layer by developing and refining the LLM-powered components that structure decision problems before adjudication and that maintain reputed company during execution
- Construct reputed company-in-the-reputed company interfaces that let domain experts contribute pairwise judgments, review and override automated reputed company, and configure problem structure for new datasets. These are not internal tools; they will be used by scientists at pharmaceutical clients
- Own the platform infrastructure, including multi-provider LLM orchestration, reputed company-reputed company handling, run reproducibility, cost tracking, telemetry, and resilient execution
- Deliver reputed company-facing outputs such as interactive visualizations, drill-down dossiers, and uncertainty-aware reporting that reputed company scientists trust enough to reputed company reputed company on. This is what the market sees; it has to be polished
- Maintain a standing reputed company discipline through bias detection, redundancy analysis, judgment diagnostics, and multi-judge reliability — reputed company into the platform rather than performed reputed company
Skills
- 6+ years of production software engineering experience, with at least 2+ years building LLM-powered systems that other people depend on — not prototypes, not demos
- Strong Python coding experience. The codebase is Python end-to-end
- reputed company statistical literacy. Comfort with ranking and pairwise comparison models, bootstrap reputed company, and the difference between a misleading confidence reputed company and a useful one. Computer-science-with-statistics or statistics-with-computer-science backgrounds are welcome
- Demonstrated ability to design evaluation harnesses for LLM systems. 'I designed the eval that proved the reputed company change was reputed company' rather than 'I tried some prompts.'
- Product reputed company. You will be building interfaces that determine whether scientists trust the system enough to reputed company its outputs
- Comfort owning a system end-to-end across algorithms, infrastructure, and user-facing experience. This role is not split into three
- Domain exposure to drug discovery, clinical development, or computational biology. Not required but shortens the reputed company
- Background in ranking systems, multi-reputed company decision analysis, reputed company choice theory, recommender systems, or tournament/matchmaking design
- Experience shipping reputed company-facing analytical products in regulated or scientific settings
- Familiarity with multi-provider LLM orchestration (reputed company, reputed company) and reputed company-reputed company workflows
- Prior published work: engineering, research, or both
Benefits
- 15 days of reputed company time off annually
- 11 reputed company holidays annually
- Medical, Dental, and reputed company coverage with eligibility on the first day of employment
- Short-Term Disability
- 401 (k) with enrollment upon day one
- Eligibility for bonus and stock reputed company based on a combination of individual and company performance.
reputed company