Ask HN: Who is hiring? (July 2025)

Artificial Analysis | https://artificialanalysis.ai | Full Stack Engineer & ML Engineer | Onsite in San Francisco or in Australia/New Zealand | Competitive Salary + Equity

Artificial Analysis is an independent AI benchmarking and insights provider. Our benchmarks help engineers and companies understand AI and make informed decisions on AI technologies.

We are hiring for two roles:

1. Full Stack Engineer: Full Stack Engineer to support our benchmarking of AI and with communicating these benchmarks to our users. Proficiency in Typescript & Python required. Familiarity with LLM APIs preferred.

Tech stack: Javascript/Typescript, Node.js, React/Next.js, Python.

2. ML Engineer: ML Engineer to support our benchmarking and evaluation of AI software stack. You will design and run benchmarks and evaluations of different AI models.

Strong analytical skills and proficiency in Python required.

Apply at hiring (-at-) artificialanalysis.ai with your resume, github and dot points on relevant experience.

Lumafield | https://www.lumafield.com SAN FRANCISCO, CA or CAMBRIDGE, MA – ONSITE

About Lumafield: Lumafield was founded in 2019 to upgrade manufacturing by making the most advanced tools more accessible. Our AI-driven platform and industrial CT scanning technology give engineers unprecedented visibility into their products, helping them make better decisions, faster. We’re headquartered in Cambridge, MA, with an office in San Francisco, CA. Lumafield is building the future of manufacturing through deeper insights, greater autonomy, and continuous innovation.

We recently raised our Series C funding of $75 million, further accelerating our mission to revolutionize manufacturing.

Open Roles: Backend Software Engineer (SF Bay Area) | Research Engineer (Greater Boston Area) | DevOps Engineer (SF Bay Area) | IT Specialist (SF Bay Area) | UX Designer (SF Bay Area)

Don't see a role you're looking for? Visit our careers page (https://www.lumafield.com/careers) and send us a message!

360Me | Founding CTO & iOS Engineer | London / UK | Full-time | AI, Precision Health, Aging

We're building 360Me: an AI-driven platform that helps people measure and reverse their biological age using diagnostics, wearables, and real-time insights. Backed by clinical validation and a world-class product team, we're turning fragmented health data into personalized, impactful action.

We’re hiring a Founding CTO to lead and scale our technical foundations — and an experienced iOS Engineer to help deliver a seamless mobile experience from day one.

Founding CTO (AI, Infra, Health) You’ll architect, build, and scale the entire tech stack from 0→1, then grow the team around what works. You’ll ship our food analysis API (image/audio/text → nutrient vector), build real-time infra with GCP/Vertex AI/Terraform, and lead engineering through our first clinical pilot. You’ll own core technical decisions, contribute code, and eventually hire and mentor a high-performing team.

You Likely Have: 10+ yrs engineering experience, 5+ in AI/ML or data-intensive systems • Proven 0→1 track record (healthtech, biotech, or regulated SaaS ideal) • Comfortable writing production code and scaling systems • PhD/DPhil or deep experience in CS, AI, Physics, or Computational Bio (bonus)

$160k–$200k + equity

Apply: 360me.typeform.com/CTOApp

Note: Our process includes two technical case studies, designed to simulate real decisions you’ll face here.

iOS Engineer (SwiftUI, HealthKit, Wearables) 7+ yrs iOS experience, including 2+ with SwiftUI • Shipped 2+ production iOS apps • Integrated HealthKit and wearables (e.g. Oura, Withings) in production • Experience with Realm, RevenueCat, AWS • CI/CD fluency with GitHub Actions, Xcode Cloud, Fastlane

Bonus: WatchOS apps, familiarity with modern AI dev tools, HIPAA/GDPR knowledge • UK-based (London hybrid ideal)

$90k–$115k + stock options

Apply: 360me.typeform.com/fullstackdev

Archera | Senior Data Engineer | REMOTE (US/Canada) or Hybrid (Seattle) | Full-time

Archera empowers organizations of all sizes to optimize their cloud costs through unique, short-term, insured GRI (Guaranteed Reserved Instance) and GSP (Guaranteed Savings Plan) commitments.

We’re looking for a Senior Data Engineer to build and scale the data backbone of Archera’s cloud cost optimization products. This role focuses on architecting large-scale data pipelines that process cloud billing and usage data across AWS, Azure, and GCP. You’ll work across OLTP and OLAP systems to ensure our data infrastructure is performant, reliable, and purpose-built for FinOps. Your work will enable accurate cost modeling, insights, and automation that directly power Archera’s cloud rate insurance platform.

Stack: Python (SQLAlchemy, Flask), TypeScript (React), PostgreSQL, Snowflake, Argo Workflows, k8s, AWS/GCP/Azure

Benefits: RRSP/401k match, healthcare, stock, wework/home office expenses.

Apply: https://job-boards.greenhouse.io/archera/jobs/4788177008 and email me at simon+hn archera ai

Elicit | San Francisco + remote (US timezones) | https://elicit.com/careers

Elicit is an AI research assistant that uses language models to help researchers figure out what’s true and make better decisions. We scaled to >$6MM annual revenue and 450k MAU fast. We're hiring for multiple roles and are primarily interested in people with early-stage company experience, who are comfortable in high-agency, fast-paced teams.

Reasons you might want to join Elicit:

1. We have been thinking about how to apply AI for high-stakes knowledge work since even before GPT-1. Elicit was spun-out from Ought (https://ought.org/) which was an applied research lab.

2. If you're concerned about the potential downsides and risks of super-powerful AI: so are we! Happy to explain more of this story on a call, or you can also check e.g. https://ought.org/updates/2022-04-06-process for a primer.

3. We like spending time with each other, and have get-togethers every 6 weeks, but we're flexible on location.

Reasons you might not want to join Elicit:

1. We've found a level of product market fit (as evidenced by metrics) but we've not proven everything out yet. If you want predictability, Elicit is not for you.

2. We aim to hire people who thrive in low-bureaucracy environments, and let them loose. If you need structure, lots of support, close mentorship, or tightly-defined work assignments, Elicit is not for you.

A selection of open roles—more on the site:

• Machine learning engineer: https://elicit.com/careers?ashby_jid=913a03d5-bd26-4c64-8346...

• Our first data engineer: https://elicit.com/careers?ashby_jid=4617f630-f971-4716-b753...

• Front-end engineer: https://elicit.com/careers?ashby_jid=b5e218b8-8730-4254-b026...