Candid | Founding Engineer | Cambridge/Boston | Onsite/Hybrid

We're building a photo-sharing app that uses CV to automate the annoying parts of sharing photos with friends.

Stack: FastAPI, Postgres, Supabase, AWS. We have a mobile app in progress and an ML pipeline—need someone to own the backend, wire it all together, and ship.

Looking for someone who's: - Done real backend work (Python, FastAPI, whatever) - Deployed ML/CV to prod, not just notebooks - Knows their way around embeddings and similarity search - Cares about privacy/security (we're handling sensitive data) - Has shipped something real, ideally end-to-end

This is a founding engineer role. You'd work directly with me (CEO) and our mobile engineer. High ownership, fast pace, significant equity.

Bonus if you've done mobile integrations or been an early engineer before.

Cambridge/Boston based. Prefer onsite but hybrid works if you can hit the ground running.

nlm280@gmail.com | Subject: "Founding Engineer – Candid"

Drop your GitHub and a quick note about something you've built from scratch.

GrayMatter Robotics | Robotics Engineers, Architecture, IT/Automation | LA, USA ONSITE | https://graymatter-robotics.com/ –

GrayMatter Robotics deploys robotic systems for tackling tough jobs in surface finishing. We're a fast-growing company that solves some of the most challenging and rewarding tasks in manufacturing. We're deployed in production all over the US.

–

Robotics Engineer (all types) | $100K - $200K + Equity

We're looking for a few types:

  - product engineers and generalists who can design and build features from concept to production
  - experienced ML for robotics specialists
  - perception robotics engineers, motion planning engineers

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Lead Robotics Architect | $200k - $240k + Equity

If you're passionate and super skilled at architecture and c++ for large robotic systems, this is for you! We're building a software stack that is flexible and needs to handle a large variety of surface finishing applications (sanding, polishing, spray painting, sand blasting, grinding, ...).

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two dozen more roles on our jobs page - not all roles are mentioned are on here: https://jobs.ashbyhq.com/graymatter-robotics

I'm the hiring manager - mentioned HN in your email: achille.verheye@graymatter-robotics.com

Layer Health | https://www.layerhealth.com/ Our engineering team: https://www.linkedin.com/company/layerhealth/people/ Location: BOSTON (Boston Common) or NYC (downtown) - hybrid in both locations; <<NO REMOTE>> Headcount: ~34, hiring ~2 per month

Stack:React / Typescript / Python / GCP

Open Roles (all roles require a MINIMUM of 6 years of work experience): Fullsack Engineer (Senior) Python/React/Typescript * ML Infrastructure (Staff+) * Data Infra Lead/Engineer * ML/Research Scientist (PhD's) * MLE's (looking for CS/engineering background ideally) * 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 machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product 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!

Atomscale | Applied AI/ML Engineer | Boston, MA (Hybrid Onsite) | https://atomscale.ai

Atomscale is building AI to improve atomic-scale materials manufacturing. Our goal is to translate new materials into new technologies and products by ensuring they can actually be created at scale faster and cheaper.

This is a hard (but exciting!) challenge that involves hardware integrations, AI that understands materials data, and real-time dynamic intervention during processing.

⎯

We're looking for an Applied AI/ML Engineer that will help:

- Develop new models to analyze materials processing data

- Improve systems for model infra & deployment

- Build data engineering pipelines to handle large amounts of multimodal data

(You don't need background in materials science)

⎯

More details: https://www.atomscale.ai/careers/applied-ai-ml-engineer

To apply: email jobs@atomscale.ai with the job title + HN

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...

Principal Software Engineer - https://jobs.ashbyhq.com/matterworks/e520eef6-0bfe-4c9b-afc8...

Recital | Remote (Canada) | Full-time | https://recitalapp.com

In-house lawyers waste 25% of their time looking for stuff. Recital uses non-obvious ML approaches, uniquely enabled by LLMs, to help them find it. We're diving into the relatively-unexplored data buried in contracts, building layers of data analysis that are shown into an interface that feels simple and easy. It's an AI product that doesn't feel like an AI product.

We're a small, global, all-remote startup. It's our second startup in the space (the first was acquired). We follow modern product management (discovery) & development (DORA) practices, emphasize developer experience as an accelerator of customer value, and use provably effective management techniques (à la Manager Tools). Our team emphasizes strong emotional intelligence and self-awareness.

We're looking for Canada-based senior+ full-stack developers, with solid professional experience in both Ruby on Rails and a modern frontend framework (Vue, React, etc). Experience in data wrangling is a bonus.

https://recitalapp.com/careers/

Zeven | Senior Backend Developer | ONSITE in Zurich (Switzerland) | Full-time | Competitive salary + stock options

We're a newly-founded and well-funded startup that is seeking to revolutionize the sports industry with AI-powered solutions. Our mission is to unlock human potential and redefine the sports experience through innovation and technology.

We are looking for an experienced Senior Backend Developer and sports enthusiast to join our on-site team in Zurich, Switzerland. This is a hands-on, high impact role. We use Typescript for web, Python for ML, PostgreSQL, React + TanStack, AWS and SST.

Please see the Full Job Description [https://tinyurl.com/sw-zeven] for requirements and more details about our Tech Stack.

We are offering full-time employment with a competitive package:

• Competitive salary and stock options.

• Pension plan bonus and 25 days of paid vacation plus public holidays.

• Charming office next to the lake of Zurich with fully-equipped kitchen.

• Top-notch equipment (MacBook Pro laptops, standing desks, etc.).

• We love to organize company outings and sport events.

If you're a motivated and experienced backend engineer who is crazy about sports and looking for a new challenge, we'd love to hear from you! Please email CVs to alex@zeven.ai

We do not consider remote candidates, agencies and candidates located outside the EU/UK/EEA/Switzerland

ko-br | Robotics, Computer Vision, Imitation Learning, Reinforcement Learning Researchers & Engineers | https://ko-br.com | Cairo, Egypt & London, UK

We build Physical AI models deployable today in warehouses to solve mundane tasks like palletizing. Our tech lets robotic arms adapt to mixed SKUs, grip slips, and chaotic environments in real time.

Have a read through our manifesto: https://ko-br.com/manifesto

We want you if you solve problems like an owner (no ego, no blockers). Don’t say "it won’t work." Try it. Validate it. Ship it.

Engineering roles:

  — You're hands-on, no theory, just building
  — Experienced engineer? Great! Recent grad/PhD? Don't get discouraged, apply if you're itching to ship real products

Why join?

  — Generous base + equity
  — Work with state-of-the-art AI and real robots (UR/ABB/KUKA/FANUC).
  — Build tech that solves valuable problems today.

About me: Ex-Amazon/Meta. Built AI from satellite imagery to nanotech SEM, powered Alexa’s vision, led ML for WhatsApp. Now building robots that adapt to chaos.

https://www.linkedin.com/in/ahmadbaracat

Apply: https://ko-br.com/careers

Rapport | Founding AI Engineer + Founding Data Engineer | REMOTE (US) | Full-time | USD$160-220K+

Rapport is fixing healthcare's broken payment infrastructure. Hospitals lose billions annually to opaque payer rules and outdated contracts. We're an AI driven platform that ingests contracts, claims, and policies at scale, transforming them into real-time pricing intelligence to help get providers paid what they deserve.

We are backed by top tier investors and already have one of the largest RCM operators in the country as our development partner. Founded by a healthcare tech veteran with two prior exits. This is a chance to be a true founding team member with meaningful equity and direct impact on product and company direction.

Role 1: Founding AI Engineer – Claims Pricing Intelligence Build production pricing engines that transform messy healthcare data into accurate claim prices. Think of it like playing a complex game: interpret intricate payer rules, combine them into working logic, and validate at scale. Design data pipelines for PDFs/CSVs/APIs, create business logic combining rules based systems with ML validation, and build explainable systems where every decision is traceable. Thanks to our partnership, you'll work with massive real world datasets from day one. Stack: Python, SQL, FastAPI, LLMs and Agentic frameworks.

Role 2: Founding Data Engineer Architect our data platform from scratch. Build fault tolerant pipelines using Databricks that handle diverse sources, design normalization layers for healthcare data, and implement observability for production reliability. First data hire, you'll shape our entire data strategy. Stack: Python, SQL, Databricks, Azure/AWS, Airflow/Prefect.

Rapport is a remote only company with quarterly in person sessions. Significant equity + competitive compensation.

Apply: hiring@healthyrapport.com with resume or LinkedIn.

Please note we are unfortunately unable to sponsor visas or hire candidates outside of the US at this time.

Hightouch | Multiple Roles | Remote | Full-time | $180,000 - $320,000 USD + equity

Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance. Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others. Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.

Open Roles: Backend Engineer, AI Content Agents Developer Productivity Engineer Full Stack Product Engineer ML Engineer, AI Decisioning Software Engineer, AI Agents Software Engineer, Control Plan Software Engineer, Customer Studio Backend Software Engineer, Distributed Systems Software Engineer, Journeys https://hightouch.com/careers#open-positions

We are committed to reviewing all applications

Silk Hedge Fund | https://silk.fund | Co-founder | In-person NYC

Silk is a fully autonomous, full stack AI hedge fund that utilizes large language models to orchestrate the complete spectrum of hedge fund operations. We are building a system for truly autonomous wealth generation that replaces traditional investment workflows with infrastructure that enable LLMs not just to interface with financial markets, but to compete with and outperform human investors. Looking to bring on founding members who have technical backgrounds in quantitative finance, ML/AI, and risk management.

Hi, I'm Alek Turkmen, solo founder working on Silk full time now for the past 3 months. Please reach out if interested. Also looking for advisors / mentors with finance background.

Email -> alek [at] silk [dot] fund | https://www.linkedin.com/in/alekturkmen/ | https://alekturk.men

Sumble is the newco from the founders of Kaggle. We are hiring a designers, full stack engineers and ai/ml engineers.

Can view our roles and apply here: https://apply.workable.com/sumble-inc/ We are building a knowledge graph from web data with a first focus on data for go-to-market teams.

We use web data to identify things like org structure, tech stack, and key projects (e.g., GenAI initiatives, cloud migrations). Our product already has strong product-market fit, early revenue, and happy customers — and now we’re ready to accelerate.

Our long-term vision is to become the world's best data vendor. Try the product at sumble.com.

We are a team of 19 with experience at companies such as Google, Meta, Stack Overflow, Rippling, Snowflake, Confluent and Kaggle.We just announced a $38.5MM financing: https://techcrunch.com/2025/10/22/sumble-emerges-from-stealt...

NODA AI | Multiple Roles | Austin TX | Full-time | ONSITE

NODA is a veteran-owned, venture-backed technology company that is transforming how unmanned systems collaborate in complex, mission-critical environments. We are developing next-generation solutions that enable the autonomous orchestration of heterogeneous unmanned systems across air, sea, land, and space with vital applications in the defense, intelligence, and commercial sectors.

We're looking to scale fast in 2026 and actively hiring for multiple roles, including:

- AI/ML Engineer

- Autonomy Engineer

- Field Ops Engineer

- Forward Deployed Engineer

- Senior Full Stack Engineer

- Networking Engineer

- Senior Platform Engineer

- Simulation Engineer

- UI Engineer

See latest job listings and descriptions on our website:

https://www.nodaintelligence.ai/careers/

Bonsai Robotics | Senior MLOps Engineer | Hybrid (Bay Area) | https://bonsairobotics.ai/

Bonsai Robotics | Senior Computer Vision Engineer | Hybrid (Bay Area) | https://bonsairobotics.ai/

Bonsai Robotics is building the world's most reliable and versatile outdoor autonomy stack, starting with deployments in agriculture.

We're hiring both in the MLOps side, building the pipelines that feed our models with data, and the ML/CV side, building the models themselves and the associated CV algorithms. We're especially interested in engineers who have experience building/training 3D birds-eye-view detection/segmentation models, and 3D reconstruction.

Stack: Python, PyTorch, Ray, Rust/C++ (on-vehicle) Salary: 150,000 - 250,000 USD per year

Apply: https://bonsairobotics.ai/careers/

Feel free to reach out to john.macdonald [at] bonsairobotics.ai with questions.

Kernel Intelligence | Senior Backend Systems Engineer | Remote (US) | Python / FastAPI / Async / Distributed Systems

Kernel is building the data backbone for commercial real estate — converting messy CRE documents into structured, decision-ready data using ML and distributed systems. It’s a $20T+ market still trapped in PDFs and siloed tools, so the impact is immediate and real.

We’re an engineering-first company — our technical breakthroughs set the direction for what we can commercialize. Our team is small, senior, and high-trust. Every engineer owns production systems and directly shapes the platform’s capabilities.

You’ll design and own backend systems powering AI-driven pipelines: async FastAPI services, SQLAlchemy 2.x models, event-driven ingestion workflows (Pulsar/Kafka), multi-tenant auth (OIDC/JWT), Kubernetes deployments, and full observability.

Stack: Python 3.12+, FastAPI, AsyncIO, SQLAlchemy 2.x, Pulsar/Kafka, OIDC/JWT, Kubernetes, GitOps/Terraform, OpenTelemetry, Prometheus.

Comp: $150k–$200k + up to 3% equity

Apply → https://kernel-intelligence.breezy.hr/p/99e076eed192-backend...

EagleSight.ai | Forward Deployed Engineers (Fullstack & ML) | Las Vegas, NV | ONSITE | Full-time

EagleSight builds AI-powered vision agents for casino surveillance. We turn existing cameras into real-time detection systems that catch cheating and dealer errors as they happen. We're deployed in major Las Vegas casinos and growing.

We're hiring two Forward Deployed Engineers:

Fullstack – Own the product experience and on-prem deployments. You'll build and maintain our dashboard (React), backend services (Python/Node), and deploy full-stack systems on local GPU servers. 3+ years experience, strong with Python, TypeScript, Docker, Linux.

Machine Learning – Own our real-time vision pipelines end-to-end. Train, tune, and deploy deep learning models at client sites using PyTorch, ONNX, TensorRT. 2-3 years ML experience, comfortable with Linux, Docker, and shipping models as services.

These are field roles. You'll deploy and debug systems on-site at casinos and hotels. Startup mindset required – we're a small team moving fast.

Tech: Python, React, PyTorch, Docker, Linux, on-prem GPU infrastructure

Apply: https://eaglesight.ai/careers

Krea | Distributed Systems & Backend Engineers | San Francisco, CA (onsite+remote)

I'm the cofounder & CTO of Krea (https://www.krea.ai). We are a startup in San Francisco building browser-based AI creative tools for professional designers and creatives. Small team (~27); millions of active users; and raised +$80M from top SV investment firms.

We're looking for talented engineers who want to tackle hard technical challenges with smart people while building a creative platform that big companies and startups will rely on. You will...

- Build distributed systems to process massive (billions of files, petabytes), amounts of image, video, and 3D data, solving scaling bottlenecks as you go.

- Learn ML engineering from world-class researchers on a small tight-knit team. You’ll contribute to foundation image, video, and world models from 0 → production, and see them used by millions.

- Play with huge Kubernetes GPU clusters; our main GPU cluster takes up an entire datacenter from our provider.

Tech stack: python, pytorch, k8s, a rotating cast of data tools (e.g. DuckDB, massive relational DBs, PyArrow, etc.)

You should apply if you are an excellent generalist engineer with strong backend experience and an intuition for systems design. Bonus points for experience with dist. systems, k8s, and existing ML or data experience (but not required!). Cool side projects are a green flag.

A few links about us:

- Sneak peek of our real-time video model → https://x.com/krea_ai/status/1961074072487620635

- Technical report for FLUX.1 Krea, our first open-source text-to-image model → https://krea.ai/blog/flux-krea-open-source-release

You can contact me at:

  d+hn@krea.ai

(the +hn will bump your email in my inbox)

ClickHouse | Senior Software Engineer - Distributed Systems / Cloud Data Infrastructure / Kubernetes | Remote

US remote preferred right now, EU is technically fine but I'm looking to ramp up in US atm

ClickHouse is a popular, Open-Source OLAP Database. We are ClickHouse Inc, the company behind the database aiming to build the best in class real time data warehouse.

What we are looking for:

Distributed Systems / Cloud Engineers to build the AutoScaling Systems for a Cloud Database.

We also maintain our own ClickHouse-based Data Infrastructure. Bonus points if you've worked on auto-scaling or other data-driven forecasting challenges in the past.

    Can work in an early stage startup environment. Proactive and hands on.

    You must be independent and self-organised.

    Good at Go, Kubernetes (Understanding how to manage stateful services in a multi-cloud environment)

    We have a Python service in our Recommendation pipeline, so some ML/Data Science knowledge would be good.

    SQL / ClickHouse SQL (goes without saying)

    You'll need to be able to do On-Call - debugging production infra or db issues

    If you can do low-level database programming (C++, ClickHouse) that's added bonus.

If you want to work on operating production critical databases in the cloud on k8s + write data-driven algorithms for autoscaling, consider applying!

Send me an email: manish.gill [at] clickhouse [dot] com

[0] https://www.youtube.com/watch?v=AFoMsLMZKik

[1] https://www.youtube.com/watch?v=ufY_JFPpzRI

PS: If you're a pure DevOps person or a pure Data Engineer who wrangles data tools, please read the above requirements carefully before firing off an email. This role is an intersection of a lot of sub-roles, not a particular specialization.

Artificial Analysis | https://artificialanalysis.ai | Full Stack Engineer, ML Engineer, Member of Technical Staff | Onsite in San Francisco or in Australia/New Zealand | 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 20 and have backing from investors including Nat Friedman, Daniel Gross & Andrew Ng.

We are hiring for four 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.

3. Member of Technical Staff: You will design evaluations of different AI models and work to translate technical insights to analysis that helps companies navigate AI.

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

Puma.tech | Remote-first with PST overlap | iOS/MacOS, Android, Ai/ML, Growth | https://puma.tech

Hi all, I’m Yuriy, founder of Puma.tech. Previously worked as software engineer & developer advocate at Cloudant (YC S08, Acq. by IBM), Meteor (YC S11), Parse (YC S11, Facebook/Meta), and explored AI/ML (computer vision for self-driving cars).

We have two products:

1. Puma iOS & Android – browser with built in LLMs & Wallets. Private by design.

2. Puma AI app for Mac – ChatGPT/Atlas, but with ability to pick different model providers and fall-back to local-first ones for data privacy.

Open Roles: Eng (iOS/MacOS, Android, Ai/ML, Browser Extensions), Based Social Media Intern; Internships: Eng, Design, Growth

We’ve raised a few rounds from some of the best builders in crypto and ai:

Protocol Labs (YC S14), Chris Larsen (Ripple), Anatoly Yakovenko (Solana), Illia Polosukhin (NEAR Protocol), Sridhar Ramaswamy (Snowflake CEO, Neeva, Greylock), Jason Warner (poolside.ai, ex-GitHub CTO), Don Ho (Orange DAO, Quantstamp W18), Evil Rabbit (Vercel), John Phamous (SF Compute) and other amazing builders.

How to Apply: email careers+hn [at] puma.tech with your GitHub, a note on what you're most proud of building and what you'd like to build next.

Thank you!