Parts Order | CTO | REMOTE (US/Canada + Europe)

We are building AI-powered spatial audio tools that make Dolby Atmos mastering accessible to artists, labels and engineers. Seed-stage, fully remote (PT to CET).

Looking for a hands-on CTO to ship code and lead a small team (2–3 engineers, growing). You'll build scalable backend services for AI-driven audio processing, integrate DSP/ML models into production and set technical vision.

*Requirements:* - 3+ years managing engineering teams (5–15 people) - Strong Python production experience (5+ years) - Experience with audio/DSP libraries (NumPy, Librosa, SciPy, Pedalboard) - Cloud infrastructure and ML ops (AWS/GCP) - Passion for music and audio

*Comp:* $180K–$200K + equity + benefits (US-based)

More info at: https://partsorder.notion.site/CTO-26ae2984e582808b8060ec22f...

US CAISI | 12+ technical roles | all seniority levels | onsite SF/DC | Full-Time | $190k | US citizenship required

We are a key center of AI expertise within the US government, and are hiring programmers, ML engineers & scientists, and more. I've found the past 13 months working here impactful and rewarding.

The Team: We have a unique concentration of talent in USG, including former frontier lab technical staff, folks from MIT/Berkeley/Harvard ML PhD programs, world-class cyber & bio experts, and a Y Combinator founder of multi-million dollar startups. Our staff has previously co-invented RLHF, discovered the reversal curse, and built Inspect and RStudio.

The work: Developing AI capability and security evaluations (e.g. cyber capabilities, agent hijacking, backdoor detection), red-teaming, and briefing leaders across government. Our mandate includes monitoring frontier AI for national security risks.

Apply here: https://www.nist.gov/caisi/careers-caisi (first posting closes Feb 17)

Microsoft AI | Platform Engineering | Full-time | Seattle, WA or San Francisco Bay Area | ONSITE (4 days/week)

We're building the platform primitives that power https://copilot.com (Microsoft's ChatGPT). If you've shipped systems at scale—whether backend services, distributed infrastructure, ML platforms, or consumer AI products—we want to talk to you.

The work: design and build secure, performant platform services for AI at scale; collaborate with infrastructure, product, design, and research teams; ship high-quality code that reaches hundreds of millions of users; move fast in a design-driven environment.

You: solid fundamentals in systems thinking and software engineering; fluent in Python, C#, C++, Java, JavaScript, or similar; shipped real products or systems people use; can communicate across technical and non-technical teams.

Compensation: Competitive with other frontier AI companies, commensurate with experience

We're actively hiring and will respond to applicants. Check https://microsoft.ai/careers for current openings, or email maiplatformjobs@microsoft.com if something specific doesn't fit the bill. Apply directly if genuinely interested in building the future of AI.

Pepr AI | pepr.ai | Onsite in San Francisco | Full-time | Multiple roles | $140-$270K based on role/experience | Visa Sponsorship | Relocation

We are building the AI Operator for growth to replace traditional ad agencies. We apply quant rigor of high-frequency trading to optimize ad spend, delivering 20-50% upside in spend efficiency. We manage spend for global category leaders like Cider and Cupshe with a clear path to managing billions of dollars. We are backed by Quiet Capital and are hiring for multiple engineering roles: - Member of Technical Staff, Full Stack - https://pepr.ai/careers?ashby_jid=6025c6f4-3b72-4dc6-8a2c-fa... - Member of Technical Staff, Machine Learning & Optimization - https://pepr.ai/careers?ashby_jid=baf0e7ac-164f-4f1d-9938-de... - Member of Technical Staff, Product (ML) - https://pepr.ai/careers?ashby_jid=e6d130a7-29c0-420d-b954-ba...

Please write to us at founders@pepr.ai

Shaswat, co-founder & CEO

Rad AI | Infra / Platform / ML Infra / SWE | San Francisco, CA | ONSITE/HYBRID Preferred, Remote Available | Full-time

Rad AI builds AI products used by thousands of radiologists, helping reduce burnout and catch more disease across a large share of US medical imaging. We’ve raised $140M+ and are expanding our San Francisco presence with a new office at 2nd + Market, and we’re especially looking for infrastructure engineers who want to work in-person in SF.

Work areas: Infra / Platform: AWS, Kubernetes, Terraform, PostgreSQL, observability, secure/HIPAA production infra

ML infra / MLOps: Python, PyTorch, Airflow/LangGraph, data/feature pipelines, model serving

More about current roles and to apply: https://www.radai.com/careers?utm_source=W29wy29rlJ

Prompt Health| Senior Full Stack Engineer, Senior DevOps Engineer, Support Engineer | REMOTE (US) Prompt Health is a fast-growing Healthcare SaaS company with over $100M in ARR, growing 100%+ YoY. We build software used by large healthcare organizations to operate more efficiently and deliver better patient care.

We ship hundreds of features and products each year with a small, highly collaborative engineering and product team. Engineers have real ownership, work closely with product and customers, and influence technical direction.

Roles

- Senior Full Stack Software Engineer: $200k-$225k Build and scale core B2B SaaS product features. Work across frontend, backend, APIs, and data. Collaborate closely with product and design. Tech: PHP (Laravel), Vue.js, MySQL, AWS. High-traffic B2B SaaS

- Senior DevOps Engineer: $200k-$225k Own cloud infrastructure, CI/CD, reliability, and observability. Improve deployment speed, system stability, and security. Tech: AWS, Kubernetes, Terraform, CI/CD, Datadog

- Support Engineer: $90k-$125k Debug complex production issues. Work closely with customers and engineering to identify root causes and improve the product. Tech:PHP/Python, SQL, REST APIs, AWS

- Senior AI Engineer (Natural Language Systems): $160k–$220k Build real-time AI systems for speech and language understanding. Own NLP and LLM pipelines with a focus on accuracy, latency, and cost. Partner with Product and Engineering to ship production AI features. Tech: Python, NLP, LLMs, Speech-to-Text, Docker, AWS

- Senior AI Engineer (Rapid Prototyping & Analytics): $160k–$220k Prototype and ship end-to-end AI systems across ML and LLM workflows. Own evaluation, monitoring, and guardrails for AI pipelines. Translate business workflows into practical AI solutions. Tech: Python, LLMs, ML, Evaluation, Docker, AWS

Competitive compensation, equity, and benefits. We are actively hiring and will respond to applicants!

Senior Data Engineer: $170k–$190k Build and own end-to-end data pipelines and analytics systems that power product, operations, and client decision-making. Turn complex healthcare data into reliable, well-modeled datasets and insights. Partner closely with Product, Client Success, Growth, and Operations. Tech: Python, SQL, dbt or similar, AWS, modern data warehouses, BI tools (Metabase or equivalent).

Apply here: https://www.prompthealth.com/careers#list

Runway | ML Research Tooling & Data Platform Engineer | Remote US/EU/UK + hubs in NYC, SF, Seattle, London | Full-time | runwayml.com

Runway is building AI to simulate the world through merging art and science.

We're looking for an engineer to own Runway's internal exploratory data analysis (EDA) and evaluation platform used daily by our ML research, design, product, and creative teams.

Apply here: https://grnh.se/iey0qx9m5us All roles: https://runwayml.com/careers

daydream | San Francisco (Onsite) | Full-Time

daydream is an AI-native growth marketing company helping some of the fastest-growing teams use AI to drive sustainable, measurable growth. We’re building systems that sit at the intersection of applied AI, SEO/GEO, experimentation, and revenue; with real production impact, not demos.

We’re growing our technical and growth leadership team and are currently hiring for the following roles:

Applied AI Engineer

Work hands-on with LLMs, retrieval systems, and applied ML to ship production AI features. You’ll collaborate closely with engineering, growth, and product to design systems that move real business metrics; not just model benchmarks.

Staff Engineer

A senior IC role focused on technical leadership, architecture, and setting a high bar for engineering quality. You’ll partner with founders and senior leaders, own critical systems, and help scale both our platform and our team.

Growth Lead

Own growth strategy end-to-end, from experimentation and SEO/GEO to AI-driven insights and execution. This is a hands-on leadership role for someone who can think strategically, execute tactically, and partner deeply with product and engineering.

Careers: https://jobs.ashbyhq.com/withdaydream

Contact: kathleen <at> withdaydream <dot> com

If you’re excited about building at the intersection of AI, engineering, and growth, and want to work on problems that actually ship, I’d love to hear from you.

Layer Health | https://www.layerhealth.com/ Amazing (and no ego) engineering team: https://www.linkedin.com/company/layerhealth/people/ Location: BOSTON (Boston Common) or NYC (downtown) - hybrid in both locations; <<NO REMOTE>> Headcount: ~37 and growing Stack:React / Typescript / Python / GCP

Open Roles (all roles require a MINIMUM of 6 years of work experience): ML Infrastructure (Staff+) * Data Infrastructure Lead * ML Engineer * ML/Research Scientist (PhD's) * Security Engineer

We Offer: * competitive base salary + equity + great health/medical benefits * unlimited PTO * collaborative engineering-first culture

Layer Health was founded in 2023 by leading ML researchers from MIT and Harvard Medical School. We've built (and are live with multiple large health systems/hospitals) an ML product that scalably synthesizes patient medical records. Our LLM-powered platform is solving patient chart review - it dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health’s diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine.

Email me at mike.hauschild@layerhealth.com for more info

Sentinel Defense Technologies | Remote (Global) | Full-time | Equity + Deferred Cash

We are building the world's first AI-powered civilian protection platform. Our mission is to provide military-grade threat intelligence directly to non-combatants in conflict zones (e.g., Ukraine, Middle East), enabling life-saving decisions during the critical first 72 hours of a crisis.

We are a Unfunded->Pre-Seed team looking for mission-driven builders who want to solve hard technical problems (GenAI multi-model verification, geospatial analytics, offline-first mobile apps) with immediate real-world impact.

*Open Roles (Founder-Level Commitment):* * *Full Stack Developer (System Core):* Python/Django + Frontend. Ship features weekly. * *Backend / DevOps:* CI/CD, secrets management, high-availability architecture. * *AI / ML Systems Engineer:* Multi-model synthesis (Gemini), refusal logic, drift evaluation. * *OSINT / Intelligence Lead:* Define trust tiers, escalation taxonomy. * *Security & Risk Officer:* Threat modeling, audit logging, incident response.

*Compensation (Transparent):* * *Phase 1 (Now):* Sweat Equity only. * *Phase 2 (Pre-Funding):* Equity + Deferred Cash (Contractually tracked, paid on funding). * *Phase 3 (Post-Funding):* Competitive Salary + Equity. * Note: Strategy & QA roles are Equity Only.

*Tech Stack:* Python, Django, Flutter, MongoDB, Vertex AI (Gemini 1.5/Pro).

*To Apply:* Email PeterJFrancoIII@gmail.com with your resume/GitHub and a brief note on what you'd ship in week 1. Learn more: https://sentinelcivilianriskanalysis.netlify.app/#join-us

Evercred (Pre-A stage) | Remote (US) | Technical Co-Founder - AI Agent Infrastructure | $20K/mo + up to 20% equity We're building AI agents that reduce physician credentialing from 90 days to 14 days. $50B market, healthcare orgs desperate for this solution.

THE ROLE: You'd own agent orchestration, monitoring, and ML operations as founding technical leader. We have agents built by external agency launching in 2-4 weeks. You'd evaluate their implementation, build operational infrastructure, and own the technical strategy as we scale from 0 → thousands of verifications monthly.

THE OPPORTUNITY: - 20% equity (founding team level, 4-year vest) - $20K/month cash (adjustable based on equity preference) - Clear path to Series A: $1M ARR by summer 2025 - Own agent infrastructure for industry-disrupting product - Work directly with CEO/CPO, high autonomy

THE REALITY: - 3-4 month runway (aggressive growth targets) - Remote/async-first, US-based for timezone overlap - Paid trial week ($1,400) - mutual evaluation for partnership - Need production ML/agent experience - Must move fast intelligently (AI-assisted development expected)

THE TRIAL: Week 1: Evaluate third-party agent code, build monitoring infrastructure, or pivot to corrective strategy if code needs work. Testing judgment + execution + communication.

LOOKING FOR: - Production experience with LLM agents or ML systems - Can leverage AI tools (Claude/Cursor) to accelerate safely - Comfortable with ambiguity, short runway, high ownership - Wants equity upside, sees potential in healthcare transformation - CTO-level strategic thinking

NOT A FIT IF: - Need structured W2 role with benefits - Want low-risk established company - Optimizing for maximum cash vs. equity potential - Need multiple approval layers for decisions

TO APPLY: Email mark@evercred.com with: 1. Your approach to the trial problem (3-5 sentences) 2. Why 20% equity interests you vs. full cash 3. How you'd use AI tools to accelerate the week

We respond within 24 hours. Strong candidates start immediately.

Healthcare credentialing is broken. Help us fix it.

SightlineOS | NYC (Hybrid) | Senior Data Engineer, Senior Full Stack Engineer | Full-time

Hey HN, this is Louis, co-founder at SightlineOS.

Yusha, Derrick, and I are building an AI-native supply chain operating system for restaurant chains. It’s a massive, overlooked space with deeply underutilized data, and we’re using modern data and ML systems to automate planning, inventory management, and spend optimization.

We’re venture-backed, NYC-based, and are hiring our first senior engineers as we start to scale. These are high-ownership roles with real production impact from day one.

You’d work closely with founders, own core systems end to end, and help shape the technical foundation of the company. Depending on the role, you’ll either own and scale the data foundations that power our ML and customer insights, or ship end-to-end product features that directly impact how customers operate day to day.

Location: NYC (hybrid, 3 days/week in office) Salary: $135,000 - $185,000, role-dependent + equity

Apply here: https://www.sightlineos.com/careers

Matterworks.ai | ML Scientist & Engineering | Remote or Hybrid (Boston/Somerville MA)

At Matterworks we are building AI tools to extract insights from the ever-growing corpora of biological data and to unlock opportunities in therapeutic discovery, development, and manufacturing. We are building large-scale deep learning models of biological data to predict the phenotype and behavior of biological systems.

Staff ML Scientist - https://jobs.ashbyhq.com/matterworks/460eb0dc-61fb-4b6e-843c...

Senior ML Scientist - https://jobs.ashbyhq.com/matterworks/41be74b6-c7cf-4ad3-a908...

Data Manager - https://jobs.ashbyhq.com/matterworks/5a5f7cd3-bf06-4238-b3e6...

Radar Labs | Software Engineers (SRE, data platform, backend, full-stack, mobile) | Remote (US), NYC | Full Time | https://radar.com

- Radar is the geo-location dev tool

- Doing 1B+ API calls per day

- Our main languages are Rust and TypeScript, we also use mobile and offline pipeline languages (Python, Scala, and Terraform).

- We're based in NYC with our HQ in Union Square and remote friendly (US)

Interesting things we're working on:

- HorizonDB, our Geospatial database written in Rust

- Precise indoor location more accurate than iOS and Android leveraging Ultra-Wideband, other mobile sensors and ML.

- Extracting raw map data from satellite maps and the web leveraging ML and AI

- Anomaly detection to identify spoofed locations

- Mobile infrastructure that automatically configures itself optimizing battery-life and location accuracy for different use-cases over time

- Multi-Region AWS K8s deployment, 99.99%+ availability

- Frontend tools to visualize and debug location data at scale

Check out our jobs page here: https://radar.com/jobs#jobs If you have any questions, feel free to reply here or you can e-mail me at tim@radar.com

Connie Health | https://www.conniehealth.com | Multiple engineering roles | Hybrid (Boston, MA) | Full-time

Connie Health is a fast-growing startup on a mission to empower older Americans to make confident, worry-free healthcare decisions. Backed by leading investors such as Khosla Ventures and HealthQuest, we are building technology to transform the trillion dollar Medicare insurance industry, impacting the lives of 67 million people in the US. You will work at the intersection of the latest in applied AI/ML, software engineering, product, and infrastructure to build our best-in-class Medicare navigation and sales platform.

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We are looking to fill multiple positions on our rapidly growing engineering team, based out of Boston, MA:

Fullstack Engineer | $120k-$140k + equity | Responsibilities: Build the core tools that our Medicare agents rely on every day to serve customers efficiently and accurately | Tech stack: TypeScript, NestJS, Vue, Nuxt, Postgres, AWS, Docker + Kubernetes, Datadog

Senior Data Operations Analyst | $100k-$110k + equity | Responsibilities: Operations-heavy "data detective" role focused on the ensuring the quality of our core business data, investigating complex data discrepancies, identifying root causes, and implementing long-term fixes | Tech stack: SQL, Postgres, Redshift, Looker, Google Sheets

Senior Data Engineer | $140k-$160k + equity | Responsibilities: Architect, build, and scale the data platform and data pipelines that powers our analytics, operations, and AI-driven products | Tech stack: SQL, Postgres, Redshift, dbt, python, AWS, Airflow, Looker, Salesforce, Fivetran

Senior Backend Engineer | $140k-$160k + equity | Responsibilities: Own and evolve the core policy status tracking and commissions payment systems, powering financial reporting, policy lifecycle management, agent compensation, carrier reconciliation, and customer trust | Tech stack: TypeScript, NestJS, Postgres, AWS, Docker + Kubernetes, Salesforce, Datadog

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Apply: https://recruiting.paylocity.com/recruiting/jobs/All/28c82b8...

These are all hybrid positions in our Boston office near South Station, so local candidates only please. Unfortunately we are unable to do visa sponsorships at this time.

AIRMO | FE, FS, ML engineers | Luxembourg | ONSITE

AIRMO is a European climate-tech company using space and airborne technologies to monitor greenhouse gas emissions globally. Our instruments — combining LiDAR and hyperspectral imaging — detect and quantify methane and CO₂ emissions from industrial sites, pipelines, and national infrastructure.

We’re building a global monitoring system from air to space, helping energy companies, governments, and investors take real action on climate impact.

We are hiring a frontend, fullstack and an ML engineer in our new Luxembourg office. This team will be responsible for building out our data platform frontend, that allows users to interact with satellite tilesets and derivative information. You must be located in Luxembourg, or be willing to relocate.

https://www.airmo.io/careers

Artificial Analysis | https://artificialanalysis.ai | Multiple Roles | San Francisco preferred, remote available (Australia, NZ, LATAM) | Competitive Salary + Equity

Artificial Analysis is an independent AI benchmarking and insights provider. We benchmark AI to help engineers and companies understand AI and make informed decisions regarding which AI technologies to use. We are fast growing with a team of 25+ and have backing from investors including Nat Friedman, Daniel Gross & Andrew Ng. Our benchmarks are cited by NVIDIA, Meta, Amazon, and publications including the Wall Street Journal and TechCrunch.

We are hiring across several roles:

Member of Technical Staff: Lead projects in AI benchmarking and analysis. Design and execute evaluations of AI systems, develop new methodologies and datasets, and drive strategic analysis that helps enterprises shape their AI strategy. Technical generalist role with exposure to cutting-edge AI. Consulting and data science backgrounds preferred.

Senior AI / ML Engineer: Lead development of our core benchmarking stack, focusing on data-intensive backend systems and APIs. Design Python solutions for benchmarking, model evaluation, and data analysis. Build visualizations that distill complex AI data into intuitive experiences. 3+ years experience required, project management skills highly valued.

Full Stack Engineer: Build and maintain our benchmarking platform and communicate insights to users. Proficiency in TypeScript & Python required. Familiarity with LLM APIs preferred. Tech stack: JavaScript/TypeScript, Node.js, React/Next.js, Python.

Product Manager (AI Speech): Drive product strategy and execution for our speech evaluation platforms, including text-to-speech, speech-to-text, voice cloning, and real-time voice. Hands-on, technical role working closely with engineering and analysis teams.

Technical Marketing Manager: Own our live programs (webinars, events, conferences) and email marketing. Build and execute on our events calendar, coordinate speaker prep, and engage our 300K+ monthly audience. 3+ years B2B tech marketing experience required.

Solutions Engineer - Language Models: Run our evaluation stack for new model evaluations, debug and interpret results, and work directly with clients to share insights and answer questions. Exposure to cutting-edge AI and world-class evals.

Solutions Engineer - Image/Video: Run evaluations for image and video generation models, debug and interpret results, and support clients with benchmarking insights for media generation AI.

Apply at hiring (-at-) artificialanalysis.ai with your resume, GitHub, and bullet points on relevant experience (including anything you've built). Add | HackerNews to email subject line.

Kato | Senior Software Engineer | San Francisco, CA | ONSITE | Full-time Kato is building a compliance-first AI servicing platform for the $24B lending market. While others treat regulatory guardrails as an afterthought, we’ve built a regulatory rules system with an AI decision engine on top. Our first product is a Voice AI agent currently handling loan servicing calls for major fintechs like Bilt Rewards and Parafin.

We are backed by Pear VC and angels from Brex, Bridge, and Square. You’ll be our second engineering hire, working directly with our CTO (ex-Google/Brex EM) and CEO (ex-Goldman/Brex).

The Role: As an early hire, you’ll own mission-critical projects across the entire stack. You’ll lead the architecture of our real-time voice processing system, optimize LLM integrations for compliance-aware conversations, and build out our customer-facing dashboards.

Tech Stack:

Backend: Golang, PostgreSQL

Frontend: Next.js, TypeScript, React, Tailwind

Infra: AWS, Terraform, Kubernetes, Docker

AI/ML: LLMs, Speech-to-Text, Text-to-Speech

Requirements:

2-5 years of production software experience.

Strong API design and architectural thinking.

An "owner's mindset"—we are a small, high-intensity team where everyone drives product direction.

Experience with WebRTC, real-time audio, or FinTech is a plus but not required.

Location: San Francisco (4 days/week in-person).

To apply: https://jobs.ashbyhq.com/Pear-VC/214dc247-0778-485b-8a3d-067...

Stellar Science | Hybrid (USA) Albuquerque NM, Washington DC (Tysons VA), Dayton OH | Full time, interns/co-ops | U.S. citizenship required | https://www.stellarscience.com

Company: We're a small scientific software development company that develops custom scientific and engineering analysis applications in domains including: space situational awareness (monitoring the locations, health and status of on-orbit satellites), image simulation, high power microwave systems, modeling and simulation, laser systems modeling, AI/ML including physics-informed neural networks (PINN), human body thermoregulation, computer vision and image processing, high performance computing (HPC), computer aided design (CAD), and more. All exciting applications and no CRUD. We emphasize high quality code and lightweight processes that free software engineers to be productive.

Experience: Except for interns, we currently require a Bachelors degree in physics, engineering, math, computer science, or a related field. Masters or PhD is a plus. (Roughly 25% of our staff have PhDs.)

Technologies: Lots of C++23, Qt 6.9, CMake, git, OpenGL, CUDA, Boost, Jenkins. Windows and Linux, msvc/gcc/clang/clangcl. AI/ML and analysis projects use Python and C++. Web projects use Java and Typescript/React.

Apply online: at https://www.stellarscience.com/careers/.

Knit Health | AI/ML Engineer + others | San Francisco, CA | ONSITE + REMOTE (US)

Knit Health is building a clinical foundation model to improve how healthcare is delivered. We combine AI systems engineering with clinical domain expertise to develop reliable models and workflows that can be integrated into provider environments. Knit is venture-backed and led by a team with UC Berkeley, Stanford, and UCSF research roots. We work with multiple large US health systems and data partners.

We are looking for AI/ML Engineers to contribute to foundation models (1+ years experience, SF only), Senior Data Scientists (5+ years), and Product Engineers (3+ years). Join a tight-knit team where you’ll shape the technical direction of our models and drive the evolution of a product suite that improves patient health outcomes at scale.

To apply: aamar AT knit.health (Subject: "HN job post")