Machine Learning Engineer

WireScreen · Technology

unknown

Salary Range (USD)

$150k - $195k

Location

New York City, USA

Visa Support

Not mentioned

Funding Stage

Series A

Job Responsibilities

  • Level up entity resolution algorithms
  • Expand use of LLM technology
  • Train and deploy ML models for clustering problems
  • Work on knowledge graphs, entity resolution, recommendation engines, cohort analysis, or anomaly detection

Required Skills

Training and deploying ML modelsClustering problem experienceKnowledge graphs or entity resolutionRecommendation engines or cohort analysisAnomaly detection

Engineering Culture & Tech Stack

tight‑knit team
real‑world problems
big impact

Raw Post

Show original text
WireScreen (Series A) | Senior Software Engineer (Frontend) & Machine Learning Engineer | NYC - hybrid | Full-time | $170k-$220k (frontend) + equity / $150-$195k (ML eng) +equity | WireScreen is a fast-growing Sequoia-backed Series A startup building the go-to open source intelligence platform for navigating global supply chains and China-related risk. While China maintains some of the world’s most detailed corporate ownership records, the real challenge is connecting the dots. That’s where we come in: surfacing the networks, relationships, and financial ties behind companies to support national security, compliance, and regulatory oversight. We’re looking for senior software engineers on the frontend to help build the future of our platform: transitioning us to a component-based system all the way through to building beautiful pages that visualize the story of ownership, power, and influence in the Chinese corporate world. For the frontend we’re looking for significant React experience as well as experience with at least one React framework, plus prior experience building or contributing to a component-based design system & data viz work. At least 5 years experience with 8+ being a more likely level for this person. We’re also looking for a machine learning engineers to level up our entity resolution algorithms and expand our use of LLM technology - for that role we’re looking for 4 years experience with training and deploying ML models in clustering problems, so either knowledge graphs, entity resolution, recommendation engines, cohort analysis or outlier/anomaly detection. In both cases you’d join an awesome, tight-knit group of great people who are working on real-world problems with big impact. Apply here (Frontend): https://jobs.ashbyhq.com/wirescreen/de6daaae-eb03-4551-809d-... Apply here (Machine Learning): https://jobs.ashbyhq.com/wirescreen/0a29bcab-59eb-4766-941b-... Or you can reach out to me directly at leo.green@wirescreen.ai - I lead recruiting here at WireScreen, but if I don't know the answer I'll ping our engineering folks and come back to you fast.

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Machine Learning Engineer at WireScreen | HN Who's Hiring