
Member of Technical Staff
New York City, NY · HybridFull-time$135–215K/yrSeen 1mo agoStill listed 2 days ago
Most applications go out cold — see where you stand first. No sign-up to start.
Watch jobs like this. New roles like this one near New York City, NY, by email.
Don't just apply. Show up ready.
Olive works from this exact posting.
At a glance
Olive lists jobs from US employers, including remote roles you can work from the United States.
Job overview
Closure is an AI‑driven platform helping U.S. law‑enforcement agencies solve serious crimes. The company seeks a backend engineer who can build resilient, secure distributed systems, deploy large language and vision models, and design data pipelines for both unstructured and structured information, thriving in a fast‑paced, early‑stage startup environment.
Skills & qualifications
Skills
Benefits
Full job description
About Closure Closure helps law enforcement search evidence and solve crime. Public servants across the U.S. use Closure to expedite investigations into cold cases, homicides, gang conflicts, sexual assault, and other serious offenses. We’re live with police departments and prosecutors across the country, reducing evidence overload throughout the criminal justice system. Closure is an intentionally tight-knit team of ambitious ex-Palantir and ex-IDF engineers and operators. We operate with a high speed, high integrity, and high autonomy, backed by reputable investors including Y Combinator, CRV, Pathlight, and others.
-
Read more about our work, here: • Comstock’s Magazine, “Murder: Solved. Local investigators see new hope with Closure AI platform”
-
Shots Fired Podcast, “Being a Cop in Alaska is Nothing like you think”
-
Role Description: • Backend-Depth, AI-Grounding: We’re looking for a backend engineer with deep experience & interest in applying AI in the real world. • Backend-Grounding: You can build resilient, secure distributed systems, with comfort across programming languages (esp. Python, REACT, etc.) and infrastructure providers.
-
AI-Depth: Experience deploying LLMs, VLMs, and/or other ML in real-world settings. Bonus if you've worked with or are excited by agentic experiences—systems that reason, plan, and take actions across data.
-
Data Versatility: Designed RAG or similar pipelines for unstructured data, and know how to build for structured data too (query planning, semantic modeling, or structured reasoning).
-
Adaptability: We move fast, and new models / approaches to infrastructure are constantly coming online. You are naturally curious (and keep up with) the latest in AI.
Please note: this is NOT a 9-to-5, this is a founding role. Proactivity and hard work required.
-
About You: • Mission-Driven: Excited to contribute to U.S. government competence and public safety.
-
Owner-Builder Mindset: Bias toward action, thrives in extremely fast-paced environments. Looking to do the best work of your life.
-
Comfort with Ambiguity: We are an early-stage startup with many exciting questions to be answered; you run toward unasked and unanswered questions.
-
Firefighter: We need people who can work hard and be hands on deck when the fan gets hit
-
Location: • New York City (Preferred)
-
Bay Area, California, hybrid work arrangement available
-
Additional Details: • Comp • Salary: $135k-$215k, with potential for adjustments based on experience and seniority
-
Equity: Meaningful ownership stake at founding-hire levels
-
Bonuses based on company performance
-
Benefits: • We contribute 3% to your 401(k), regardless of your own contribution
-
Unlimited PTO
-
Health, Dental (Direct or Reimbursed)
-
Short- & Long-term Disability Insurance
-
Life Insurance
-
Discounted Gym & Class Membership
-
Criminal Justice: • Criminal Justice Ready: Given the sensitivity of our work, we support employees through FBI background checks / CJIS clearance process as needed
Similar jobs, posted recently
Open roles like this one, listed in the last 30 days.
Member of Technical Staff, EvalsHandshake · San Francisco, CA · $200–350K/yrPosted 3 days agoPosted 3 days ago
Member of Technical Staff - MachinesModal · San Francisco, CA · $250–300K/yrPosted 1w agoPosted 1w ago
Member of Technical Staff - StorageModal · San Francisco, CA · $250–300K/yrPosted 1w agoPosted 1w ago
Member of Technical Staff - Multilingual DataReflection AI · San Francisco, CAPosted 3w agoPosted 3w ago
Member of Technical Staff - Lead, StorageModal · San Francisco, CA · $270–330K/yrPosted 1w agoPosted 1w ago
You've read the whole posting — now see how you match it.