Senior/Staff Machine Learning Engineer, BrightHire
+ Equity
Smart interview platform
Open for applications
Smart interview platform
21-100 employees
Open for applications
+ Equity
21-100 employees
Company mission
To give everyone the hiring experience they deserve.
Role
Who you are
- 5+ years building production machine-learning or NLP systems, including at least 1 year focused on generative-AI or LLM applications
- Demonstrated experience creating automated evaluation suites for LLM outputs (accuracy, safety, bias, tone, style) and using results to guide iterative improvements
- Deep knowledge of prompt engineering, RAG techniques, vector search, embeddings, fine-tuning, and model selection across multiple providers
- Strong Python skills and familiarity with modern LLMOps/MLOps stacks (e.g., Prefect, dbt, vector databases, promptfoo or other evaluation harnesses)
- Comfort working with both structured (SQL) and unstructured (text, audio, embeddings) data, and building pipelines that join them seamlessly
- A mindset for governance: understanding of data privacy, AI ethics, bias mitigation, and enterprise compliance frameworks
- Ability to communicate complex AI trade-offs clearly to engineers, designers, and executives alike
- Bias toward action, curiosity, and a passion for building high-quality user experiences
What the job involves
- You will be the bridge between breakthrough prototypes and rock-solid production AI
- Partnering closely with our Staff Full Stack Engineers, Product, and Design, you will transform early-stage GenAI features into polished, scalable, and governable capabilities that delight users at scale
- Your focus will be relentless quality: devising rigorous evaluation frameworks, refining prompts and retrieval pipelines, and optimizing model choices for cost, latency, accuracy, tone, and safety
- You will help build the shared AI platform that powers products such as:
- AI Interviewer conversation loops that adapt in real time
- AI Fraud Signals that flag suspicious behavior with minimal false positives
- AI Candidate skills matrices and assistants that surface instant insights
- Modular, model-agnostic architectures that allow us to confidently swap models as new model versions are released
- Design and own comprehensive eval harnesses that measure accuracy, completeness, style, hallucination rate, bias, and safety across every release
- Tune and iterate on RAG pipelines, prompt chains, conversation loops, provider selections, and fine-tunes until quality bars are met or exceeded
- Build reusable data and evaluation pipelines, a shared semantic layer, and monitoring dashboards that make it easy for product teams to ship reliable AI quickly
- Optimize for cost and latency, continuously benchmarking models and negotiating trade-offs between performance and spend
- Implement robust data governance, lineage, and AIOps practices that satisfy enterprise compliance requirements and support our AI bias audit process
- Collaborate daily with the data science team and cross-functional squads to embed evaluations into CI/CD and ensure every deploy meets our candidate-first standards
- Contribute to a modular, model-agnostic architecture that lets us switch or upgrade LLMs with minimal friction
- Document best practices and share knowledge to raise the bar for AI development across BrightHire
- High-impact projects in small, autonomous squads where you can lead platform initiatives or dive deep as a specialist
- Thoughtful developer experience with fast CI, 1-click deploys, strong observability, and clean codebases
- Sustainable remote culture: regular working hours, no-meeting Wednesdays, and flexible time off
- Collaborative, kind teammates who value learning and growth
Our take
BrightHire is an enterprise SaaS platform offering employers a Zoom-integrated hiring tool designed to assist interviewers in creating more equitable hiring practices. Its tech software records, transcribes and helps standardize interviews, along with offering broader procedural analytics tools.
The bias-reduction benefits remain to be proven and are not unique to BrightHire. However, with companies increasingly focused on publicly tackling hiring bias, it has come at the right moment. HR tech is seeing a significant uptake of SaaS products, meaning its product and the field in general are likely to see good growth.
Series B funding secured in 2021 has been channeled into workforce expansion and developing the platform using big data insights. How competitive BrightHire remain will depend on how well they fare in a rapidly innovating sector.
Steph
Company Specialist at Welcome to the Jungle
Insights
-21% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Oct 2021
$20.5m
SERIES B
May 2021
$12.5m
SERIES A
Total funding: $36m
Company benefits
- Competitive salary
- Meaningful equity
- 401(k) plan
- Health, vision, & dental
- Flexible PTO
- Vacation bonus
- Paid parental leave
- Work setup budget
- Quarterly Offsites
- Learning stipend
- Monthly snack delivery
- Team Events
Company HQ
West Village, New York, NY
Leadership
Benjamin Sesser
(CEO & Co-Founder)Having worked at Garten Rothkopf and Gartner as a Strategy Consultant, Benjamin spent 2 years at Sailthru as Director of Strategy. In April 2019, he left his role of 4 years as VP of Finance and Operations at Enigma Technologies to co-found BrightHire.
Theodore Chestnut
(CRO & Co-Founder)Having been Vice President of Business Development at Garten Rothkopf, Thoedore later joined LinkedIn as Senior Relationship Manager. He was here for 6 years, becoming Global Account Manager and then Senior Manager of Insights.
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