SentiLink | https://www.sentilink.com/ | Engineering & Data Science | REMOTE, HYBRID, and ONSITE (UNITED STATES ONLY) | Full Time

Primarily hiring in the U.S. for more senior level roles.

We’re hiring across Engineering (Primarily Backend/Data Platform) and Data Science / ML roles. Hiring at Manager/Director level as well as Senior IC levels. We’re language-agnostic and hire for fundamentals.

Across the team you’ll see: • Python, Go, Rust, Scala • PostgreSQL, Snowflake • Kafka, Redis • Terraform, Kubernetes • ML: XGBoost, PyTorch, Feature stores, real-time scoring pipelines

If you love solving complex distributed systems challenges, building customer-facing ML products, or working on detection systems that must be both high-precision and low-latency, you’ll fit right in.

Roles are here: https://jobs.ashbyhq.com/sentilink?utm_source=hacker_news If you have questions, feel free to reach out directly at liz.woodfield at sentilink dot com.

At SentiLink, we stop identity fraud at scale. Our products protect banks, fintechs, marketplaces, and leading financial institutions from synthetic identity fraud, identity theft, and emerging threat. We analyze millions of applications while keeping real users moving fast.

We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.

SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design.

We’re a small, high-impact team solving one of the most interesting and adversarial problems in fintech: how do you build systems that reliably determine whether a real human is on the other side of a financial transaction?

FunnelStory | MTS, AI/ML | Remote (India) | Full-Time | https://funnelstory.ai

FunnelStory is building agents to autonomously protect and grow revenue for post-sales teams. Our agents need evidence-backed signals from large-scale structured and unstructured enterprise datasets.

You'd work on cohort analysis, prediction models, experiments, and whatever else it takes to make those signals hold up. Our tech stack is primarily Go.

Please email preetam @ funnelstory.ai with "HN - AI/ML" in the subject if you are interested.

8X Energy | AI / Machine Learning Lead (fast track to CTO) | Frederick MD or Remote | Equity

We are building the AI-powered energy decision infrastructure SaaS for the commercial energy transition. USPTO non-provisional patent pending on the core methodology. Live pilot project underway at a Maryland nonprofit technology incubator.

The company is pre-investment. We are in active seed raise discussions and have enterprise pilot confirmations from Pharmaceutical, Electric Companies, National Energy trading platforms, and federal agencies.

What we need: An AI and machine learning lead who has shipped production SaaS before. Not a researcher. Not a consultant. Someone who has taken software from prototype to deployed, maintained it in production, and knows what breaks when real users engage. You should be comfortable with the full stack from model development through deployment and understand what it means to build AI systems that need to be auditable, accurate, and defensible in a regulated environment. Energy domain experience is a plus but not required. The ability to learn a domain fast is required.

Specific experience we are looking for: You have built and deployed at least one production AI or ML system that real customers use today. You have legacy software development capability meaning you can work in an existing codebase, not just greenfield. You understand the difference between a model that performs well in testing and a system that works reliably in production. You have led or been a senior contributor on a SaaS product from architecture through deployment. You are comfortable working with a non-technical founder CEO and translating business requirements into technical specifications without waiting for someone to tell you exactly what to build.

The role: You would be leading the AI and machine learning layer across three energy specific products, working directly with the CEO and the existing development team. The fast track to CTO is real. We need a technical leader, who may be an individual contributor today, and the equity structure reflects that.

Compensation: Pre-investment: equity only, 3.5% to 7.5% depending on experience and contribution level, with vesting on a standard 4-year schedule with a 1-year cliff. Post-investment: market-rate salary plus retained equity. We are not asking you to work for free indefinitely. We are asking you to believe in the upside long enough to get to the raise, which is actively in process.

Location: Frederick, Maryland preferred. Remote for the right person. T o apply or learn more: Email john.dukes@8xenergy.com with a brief description of the production AI system you are most proud of shipping and why. No recruiters.

SingleStore | Software Engineer, AI Platform | Full Time, Remote India

SingleStore is a distributed SQL database built for high-performance transactional and real-time analytical workloads. As data systems evolve, we’re building the platform for AI applications that operate directly over enterprise data, including retrieval, reasoning, agent workflows, and intelligent automation.

Our AI Platform team works at the intersection of distributed systems, cloud infrastructure, and applied AI. Some of the technical problems we’re working on include:

- Agent runtimes, orchestration, and MCP-style tool integration

- Retrieval/RAG pipelines, embeddings, and vector search

- Model integrations, evaluation, and observability

- Secure multi-tenant AI infrastructure

- Reliability, latency, cost controls, and scaling AI systems in production

Our stack includes Go, Python, Kubernetes, cloud infrastructure, distributed systems, APIs, and modern AI/ML tooling.

We’re currently hiring a Software Engineer located in India to join the AI Platform team, along with several other roles across SingleStore.

Careers page with all open positions: https://grnh.se/ipvpz7d61us | https://www.singlestore.com/careers/jobs/

If you want to learn more about the engineering work we do, check out https://www.singlestore.com/blog/category/engineering/.

Feel free to email me directly via pkhaitan at singlestore dot com.

Kraken Tech | Senior Software Engineer - AI Foundations | London, Paris, Berlin, Tokyo, New York, Remote | Full Time | https://kraken.tech

Help us use technology to make a big green dent in the universe!

Kraken powers some of the most innovative global developments in energy.

We’re a technology company focused on creating a smart, sustainable energy system. From optimising renewable generation, creating a more intelligent grid and enabling utilities to provide excellent customer experiences, our operating system for energy is transforming the industry around the world in a way that benefits everyone.

You’ll work in the AI Foundations team which exists to enable AI across the entire company. We build the shared platforms, tooling and patterns that enable engineering & product teams to safely, reliably and efficiently use machine learning and generative AI across the business. This is not a research lab. This is a delivery-focused team that sits at the intersection of platform engineering, applied ML and developer enablement.

Apply through the link below, or send me an email to omer.korner at our domain name.

https://jobs.ashbyhq.com/krakentech/28653f8c-bc4d-4159-a331-...

GC AI | Member of Technical Staff, Applied AI | REMOTE (US/Canada) | $180K–$430K + equity

GC AI is building an AI platform for in-house legal teams, helping lawyers draft, review, and analyze legal documents. The product is used by 1,800+ companies, including 150+ public companies and 25+ unicorns. GC AI raised a $60M Series B in November 2025 at a $555M valuation.

We’re hiring 5 engineers for the Applied AI team. This is a full-stack product engineering role with a strong AI execution layer — not an ML research or data science position.

We’re looking for engineers with: - Deep, recent TypeScript/JavaScript + React production experience - Hands-on experience shipping LLM-powered product features - Experience with LLM orchestration, RAG, integrations, agents, and/or evaluation systems - Strong end-to-end product ownership, from architecture through production - A track record of shipping quickly and working closely with product

Strong signals include founding/founding-engineer experience, meaningful startup ownership, or experience scaling products at strong engineering companies before moving into a smaller high-ownership environment.

The Applied AI team also owns substantial model evaluation work as new models ship, and builds internal frameworks that allow the team to prototype and productionize new AI capabilities quickly. Location: Remote across the US and Canada Hybrid: Tue–Thu in-office if you’re within ~50 miles of San Mateo, CA or Provo, UT Comp: $180K–$430K + equity Openings: 5 Visa: H-1B transfers supported; no new visa sponsorship

Interested? Email mernaahmedemara13@gmail.com with the subject: GC AI – Applied AI Please include: - Your LinkedIn profile - Current location - A short description of an AI/LLM feature you personally shipped to production - GitHub / portfolio if relevant

Oklo | Remote (US) or Santa Clara or Brooklyn | Full time | https://oklo.com

Join us in pioneering the next generation of nuclear reactors! You'll leverage your software skills alongside nuclear engineers to model, simulate, design, and deploy advanced fission power technology. You will work at the forefront of the nuclear industry, developing novel techniques to reach new levels of safety, efficiency, and resiliency. Come be a part of powering the future with advanced fission power plants to provide clean, reliable, affordable energy.

We are hiring for:

- Software Engineer: https://job-boards.greenhouse.io/oklo/jobs/4018702004

- Senior Software Engineer: https://job-boards.greenhouse.io/oklo/jobs/5739483004

- Software Engineer (Applied AI/ML): https://job-boards.greenhouse.io/oklo/jobs/6150355004

See more opportunities here: https://job-boards.greenhouse.io/oklo

Please mention Hacker News in your cover letter!

Prior Labs | Berlin, Freiburg, NYC | ONSITE | Full-time | Technical PM, ML Infra, Research Scientist/Engineer, Backend, Full Stack

We build foundation models for tabular data. Deep learning transformed text and images but mostly skipped tables, which are still the data behind most clinical trials, financial models and scientific experiments. The reason is structural: no natural sequence, no spatial structure, no shared vocabulary across datasets, so the architectures and scaling laws behind LLMs don't transfer.

Our approach: pre-train a transformer on millions of synthetic datasets sampled from causal-structure priors. The whole dataset goes in as context, predictions come out in one forward pass. No per-dataset training, no hyperparameter tuning, seconds instead of hours. TabPFN v2 was published in Nature and set a new state of the art; TabPFN-3 scales to 10M rows. 4M+ downloads, 8k+ GitHub stars, in production from liquid biopsy to rail maintenance. Code: https://github.com/PriorLabs/TabPFN

Since July we're an independent lab inside SAP, with more than EUR 1B committed over four years. Models stay open, research stays public, same team and offices.

Roles (most can sit in any of the three offices):

- Technical Product Manager, Integrations: take every model release live across SAP (AI Core to SAP Analytics Cloud), the cloud marketplaces and customer environments, and help decide which channels we build next. Reports to me, close to the code.

- ML Engineer, Infrastructure: own multi-cluster GPU infra (Slurm on GCP today, multi-provider next), training performance and the tooling layer. We spend tens of millions per year on compute; you own that budget.

- Research Scientist, Foundation Model: drive the model agenda - novel architectures, scaling from 10K to 1M+ samples, multimodal and causal directions. PhD plus top-venue publications, or equivalent.

- Research Engineer, Foundation Model: same agenda from the engineering side. You design experiments, write the training and eval infra, and co-author the papers.

- ML Engineer, Backend: design and scale the backend that serves and finetunes the models. Python/FastAPI, Terraform, K8s.

- Full Stack Engineer, ML Platform: build the product end to end. TypeScript + Python, React/FastAPI/Postgres.

Also hiring: Applied Scientist, Forward Deployed ML Engineer, Research Scientist (Foundational Data Science), PhD research interns, plus GTM and ops roles.

40+ people with backgrounds from Google, DeepMind, Jane Street, Goldman, G-Research, CERN. Led by Frank Hutter, advised by Bernhard Schölkopf and Yann LeCun. Comp competitive with top AI labs.

All roles and applications: https://jobs.ashbyhq.com/prior-labs

Questions welcome in the replies here.

ML6 | Senior AI Engineer | Python, TensorFlow, PyTorch, GCP, AWS, Azure | Full-time | Amsterdam, Berlin, Munich, Eindhoven, Ghent (EU) On-site/hybrid

We are an AI engineering company that builds end-to-end AI solutions. By applying the latest AI research, we keep our clients at the forefront of innovation. If you are interested check out:

https://www.ml6.eu/en/customers/cases/

Work on innovative projects for the biggest clients across Europe such as Randstad, ASML, FUNKE, and many more! Whether it’s about leveraging LLMs to improve customer support, building data lakes on cloud platforms to improve storage or implementing models using sensor data for quality control. You can find it all at ML6. You will mostly work with Python and a range of ML frameworks such as TensorFlow, PyTorch, or HuggingFace Transformers and help bring application into production by building data pipelines and cloud infrastructure on all of the major cloud providers (GCP, AWS, Azure).

Open roles include:

• Senior AI Engineer

• Senior Software Engineer

• Medior AI Engineer

• Squad Lead GenAI

and many more!

Apply now at https://jobs.ml6.eu/

Rebar | Software Engineers (Product, Applied AI, ML Infra, Data Platform) | ONSITE 5 days/week, New York City (union square area!) | Full-time | $150k–$260k + equity | https://jobs.ashbyhq.com/rebar

We build AI estimating software for commercial HVAC, plumbing, and electrical contractors. Before bidding on a job, a contractor or estimator has to count every duct, fitting, diffuser, and piece of equipment across a set of construction drawings that can run to thousands of pages. We speed this up by ingesting the drawings, detecting the equipment schedules, finding symbols, and producing a priced takeoff that the estimator reviews and corrects in a collaborative canvas editor. We have strong PMF and raised a $14M Series A earlier this year.

It may not sound sexy, but it actually is!! There are a ton of hard and interesting engineering challenges. Just to highlight a few:

* very dense document drawings with a realtime collaborative canvas editor (think 50k DOM elements and up) * segmentation models (and many more) whose output has to become geometry a user can interact with * gpu inference across hundreds of concurrent jobs * dynamic analytics and chart generation from agentic workflows custom built for estimators

Open roles:

* Software Engineer, Product ($180k–$240k): https://jobs.ashbyhq.com/rebar/5ab49c2d-9a70-4723-9217-7704a... * Software Engineer, Applied AI ($150k–$250k): https://jobs.ashbyhq.com/rebar/ad41a627-d9a4-49a4-a1b4-f7202... * Software Engineer, ML Infrastructure ($200k–$260k): https://jobs.ashbyhq.com/rebar/ead8df0c-b6da-4e79-90d0-99651... * Software Engineer, Data Platform ($170k–$220k): https://jobs.ashbyhq.com/rebar/c227ea05-98f8-4a08-9760-f7e3c...

Stack: TypeScript/React/Next.js, Python, PyTorch, Postgres, Temporal, AWS, Kubernetes, Modal.

We're also hiring for PMs, implementation, sales, and marketing roles! I'm the Head of Engineering. Apply through Ashby and mention HackerNews or HN in the Ashby form. Or email me at john@withrebar.ai. We will reply to everyone, but it might take us some time! Thank you in advance for your patience

Additionally, there's a fun puzzle on our marketing site that will fast track your application if you want to solve!

Estee Lauder Companies | Staff Machine Learning Engineer | Long Island City - NY | Hybrid | Full-Time

As a Staff Machine Learning Engineer, you're a player-coach: a strong hands-on contributor who also sets standards, reviews others' work, authors the designs others build against, and mentors the team. You design, build, test, and deploy production AI products and the platform beneath them, and you shape how we build and integrate AI systems — working with engineers, scientists, product managers, and domain experts to turn ambiguous problems into reliable, scalable deliverables. The core of this role is engineering: agentic AI products and their platform, including stateful, transactional services where reliability and data-modeling rigor matter. Classical ML, statistics, and experimentation are valued and let us take on predictive and inference work when the roadmap calls for it — but you may spend long stretches purely on AI-product and platform engineering, so we're looking for someone energized by that work.

Interview process: Recruiter call, meet hiring manager

https://careers.elcompanies.com/careers/job/1168273194779

Matcha.fm | FULLY REMOTE (US / Canada / Europe / UK / Brazil / LATAM) | Full-time | https://matcha.fm

Repeat founder building something new, hiring for these roles:

Full-Stack / Frontend Engineer — https://matcha.fm/apply/fse

Marketing / GTM / Growth — https://matcha.fm/apply/marketing

Backend Engineer — https://matcha.fm/apply/be

Founding AI Engineer (ML/data) - https://matcha.fm/apply/ai

Design — https://matcha.fm/apply/design

Applandeo | Senior Data Scientist | Remote (Poland) or Cracow | B2B from 200 PLN/h+ | 6month project

We are looking for a Senior Data Scientist to join our Payment Intelligence / Fraud Prevention team.

* Stack: Python, SQL, GCP, Vertex AI, BigQuery, MLOps, Deep Learning * Role: Full ML lifecycle (feature engineering, production, A/B testing) * Requirements: Production ML experience, fluency in English & Polish

Full job description and direct application: https://applandeo.com/careers/senior-data-scientist/

Runway | Remote (see below) | Full-time | https://runway.com/ Runway is building foundational Real-World Intelligence that can understand, simulate and act in the world. We offer products and services built on-top of this intelligence to empower individuals and organizations to do more in the world. We're hiring across multiple roles, some specifically:

Backend Engineer, API (remote): https://jobs.ashbyhq.com/runway-ml/8489a08a-f0cf-4418-968c-c...

Engineering Manager, API (remote): https://jobs.ashbyhq.com/runway-ml/b5d136bb-4143-400b-914a-0...

Senior IT Engineer (SF, Seattle): https://jobs.ashbyhq.com/runway-ml/1045dd51-cdaa-4d3f-9d25-b...

Robotics Engineer (NYC): https://jobs.ashbyhq.com/runway-ml/0f1c42db-8bbf-4e69-a17c-b...

Sr Mgr/Director, Developer Platform(remote US): https://jobs.ashbyhq.com/runway-ml/90a95d63-ce92-42c4-a3dc-5...

And many more: https://runway.com/careers

Technical founder looking for a commercial co-founder | Europe / US Remote

Senior software engineer with a background in fintech, production ML and distributed systems. Looking for someone to build a company with, ideally in B2B AI, fintech or infrastructure.

Seeking an experienced founder or co-founder with a track record of building successful businesses or achieving an exit, strong in sales, customer discovery and GTM.

I can own engineering and product development. Looking for a partner who’s done it before and wants to do it again.

Let’s talk: hackernews.sculptor491@passinbox.com

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. We're a bit behind the curve on developer AI adoption, and we're okay with that.

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

Radar Labs | Software Engineers (SRE, ML, backend, full-stack, mobile, security, QA) | 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

- Agents and MCP tools to visualize and debug location data at scale

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

- 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

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

CoVar | Durham, NC and McLean, VA | https://covar.com/ | Full-time | HYBRID (3 days in office per week)

CoVar is a small R&D company specializing in AI/ML and software development for defense and healthcare. Bootstrapped and profitable. We're looking for a jack-of-all-trades who can: prototype computer vision algorithms, build Python web services, wrangle large sets of data from disparate classes of sensors, ... any or all, with the only hard requirement being eagerness to learn.

Visit covar.com for more information on our current openings!

ARTIFICIAL ANALYSIS | MTS, Forward Deployed Engineer + more | San Francisco, CA (ON-SITE, 5 days) or Melbourne, Australia (ON-SITE, 3 days) | Full-time | https://artificialanalysis.ai/careers

We're an independent AI benchmarking company. We benchmark language models, inference providers, hardware, image/video and speech, and our Intelligence Index is widely cited when new models launch. Team of ~50, backed by Nat Friedman, Daniel Gross, Andrew Ng and others.

The people who build our evals also work directly with the AI labs, often on pre-release models. Flat structure, lots of ownership.

Main hiring needs:

* Forward Deployed Engineer(FDE), Language Models: run our LLM benchmarking stack and work directly with the labs

* Member of Technical Staff (MTS), Language Model Evaluations: build frontier evals (datasets, harnesses, benchmarks)

* MTS, Inference: benchmark speed, quality and price across server-less inference providers

* MTS, Hardware: benchmark GPUs, TPUs and custom silicon

* MTS, Speech: own our TTS, STT and speech-to-speech evals

Also hiring for media generation, full stack, ML engineering, robotics and product roles.

Apply at https://artificialanalysis.ai/careers.

Sourcegraph | Remote | Full-Time | SWE, Tech Lead, ML Engineer, Product Manager, Product Marketing Manager | https://sourcegraph.com

Sourcegraph is building the context layer for AI-powered software development. As AI accelerates code creation, we help engineering teams understand, navigate, and safely change large codebases.

Our products, including Code Search, Deep Search, MCP, and Agentic Batch Changes, give developers and AI agents cross-repository context and enable coordinated code changes across hundreds of repositories. Engineering teams at companies like Stripe, Reddit, and Leidos use Sourcegraph to ship faster with greater confidence.

If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us.

Sourcegraph is backed by Sequoia, a16z, Redpoint, and Goldcrest.

Apply here: https://grnh.se/0572f98b4us