I’m looking for someone with deep expertise in both machine learning systems and quality and test automation. The right person will have hands-on experience validating model correctness, reproducibility, and performance, ideally using PyTorch or similar frameworks.

This isn’t a typical SDET role. We’re specifically looking for someone who understands ML infrastructure and model-level quality. Candidates with experience limited to traditional frameworks like Playwright or Selenium won’t be a fit.

https://www.modular.com/company/career-post?4600504005&gh_ji...

If this sounds like you, please also reach out directly at platform-eng-roles@modular.com

Sense Street | Machine Learning Scientist | London, UK | VISA

We’re building AI systems for financial markets, transforming unstructured communication (chat, email, voice) into actionable insights. Our models help global banks and funds extract relevant information from human conversations.

You’ll work on:

- Building and fine-tuning LLMs for information extraction and reasoning over text.

- Designing data pipelines for high-signal training data.

- Experimenting with prompting, retrieval, and structured generation techniques.

- Deploying ML in production with measurable business outcomes.

Our stack: Python, PyTorch, Transformers, Accelerate, PEFT, Streamlit.

Ideal background:

- Strong ML fundamentals (transformers, embeddings, fine-tuning).

- Experience demonstrating serious research either in academia (through PhD) or industry research roles.

- Solid coding ability and curiosity for how ML meets business problems.

Why join us:

- Deep technical ownership, small senior team.

- Direct access to real, high-quality data for training.

- Competitive pay, equity, and health/pension benefits.

- In-office culture (central London) focused on high-output, low-bureaucracy work.

Apply: https://sensestreet.bamboohr.com/careers/61

Questions? shubham [at] sensestreet [dot] com

ML6 | Machine Learning Engineer, Data Engineer | Python, TensorFlow, PyTorch, GCP, AWS, Azure | Full-time | Amsterdam, Berlin, Ghent (EU) On-site/hybrid

We are a Machine Learning consulting company that builds end-to-end Machine Learning 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/knowledge-hub/blog and https://www.ml6.eu/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 to solve hard Machine Learning tasks and help bring these application into production by building data pipelines and cloud infrastructure on all of the major cloud providers (GCP, AWS, Azure).

Open roles include:

• Senior ML/Data Engineers

• Senior AI Consultants

• Senior AI Project Managers

• Industry Directors

• Junior ML/Data Engineers

and many more!

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

Olli Health | Remote w/ Annual Travel | Full-Time | Senior Automation Engineer & ML/NLP Data Scientist | ollihealth.ai

We are a TechStars NYC ‘24 startup dedicated to modernizing home healthcare with advanced AI tools and we are expanding our team again! These are pivotal hands-on roles that will begin shaping our product from day 1. We are backed by top healthtech and AI-focused VCs investors (Cannage Capital, Arkitekt Ventures, and Tau Ventures) and have been moving lightning fast to build incredibly valuable tools in home health.

We are looking for:

- Proven success in the fast-paced 0 to 1 early days of young startups (experience on founding team or pre-seed ideally). Work will be optimized based on your preferred balance, and what gives you energy.

- Experience (5 years+) with most of our stack: AWS, PostgreSQL, Python (FastAPI), Pytorch. Role involves devops, data engineering, API design, evals & benchmarking, workflow optimization, etc.

- Able to demonstrate hands-on-keyboard coding chops. Roles are primarily IC + collaboration with our team, and room to grow into startup leadership.

- Comfort interacting with ML/NLP and LLM-native data engineering problems

- [AE] Experience deploying RPA and agentic tools into legacy software systems

- [ML/NLP DS] PhD in ML + proven expertise training, and deploying models for production use

- Experience working with healthcare data (not required but highly valued)

Comp: $165k-$200k annual FTE base comp + equity package. We cover 100% of Health, Vision, Dental, Life insurance premiums.

I’m Olli’s CTO and these positions will work directly with me and our core (currently 7-person) engineering team. hiring+hn [] ollihomehealth [] ai - Email me with questions, for a full JD, or to send your CV. No staffing or recruiting firms, please, individuals only.

Kaedim | Software Engineer, Machine Learning Engineer, Security Engineer, Customer Support Engineer, Product Manager, UX/UI Designer | Onsite | Full-time | San Francisco, Singapore, London | US & UK Sponsorship Available Kaedim is an AI startup building ML algorithms that turn images into digital 3d models. We are a group of ~10 looking to grow the team to help streamline 3d content creation for 3d artists and are already working with 1 of the top 10 games of all time! Using our AI and in-house art team, we have the most accurate, game-ready 2d → 3d asset generation pipeline. Currently, we are offering a 10x speed up to 3D asset creation pipelines of 200+ game developers and we are working with partners like Voodoo, Upland, Azra Games.

Check out our demo here: https://www.youtube.com/watch?v=tlQWFG1DLb0

We just launched our new product, Flow 3D! Check it out here: https://www.producthunt.com/products/kaedim?embed=true&utm_s...

Job descriptions and application link: https://join-kaedim.notion.site/

Tech Stack:

Product (web app, API): React, MySQL, NodeJS, Python, AWS

Machine Learning: Python, PyTorch, AWS

zoetro.pe | Technical Staff | San Francisco, CA | ONSITE/REMOTE | Full-time We're an applied lab building deterministic and deep generative experiences. Our team has built AI models, games, and infrastucture at Tesla Autopilot, Epic Games, Scale.ai, Repl.it, Bun, and Lucasarts.

You will be building procedural simulation models and the supporting infrastructure and applications. We're a small team, so this means everything from CUDA kernels and Pytorch notebooks to web-apps. Our stack is multi-lingual and spans from very low to very high level code. We use both our own models and external providers.

Our team is hybrid-remote, being primarily based in San Francisco.

Our stack: Python (Pytorch/jax), Typescript(React etc), Rust/C++, Ghidra

We're looking for exceptional research engineers who aren't afraid to get their hands dirty. Experience with computational geometry or compilers/language design/formal methods is a plus.

Formal qualifications are less important than passion and skill. We're building our dreams, we hope you will feel the same.

If interested, email me at: simon+hn@zoetro.pe

Duranta | https://www.getduranta.com/ | Seattle, WA | ONSITE | Full-time

Roles: Computer Vision Engineer

We are building software to help lawn care professionals & landscapers design, sell and maintain beautiful spaces. Millions of acres a year are converted into urban dwelling spaces, and we want to help make them as beautiful and as ecologically friendly as possible.

Duranta was founded a little more than a year ago. We are well funded and are expanding our team. Join us, as our second CV/ML engineer and help lead Duranta's computer vision efforts. You'll work on foundational models for aerial imagery understanding, using one of the largest aerial datasets ever assembled, and: Collaborate with the founders and a world-class CV/ML advisor to push the limits of aerial image understanding Architect scalable training & inference pipelines Build and refine models for fine-grained semantic and instance segmentation Drive experimentation and infrastructure for rapid iteration Help define our CV roadmap—from model architecture to dataset strategy to active learning

Stack: Python, PyTorch, Mask2Former, SwinV2, AWS, W&B

If you're interested in working with us, please apply online. Mention you're from HN and let us know why Duranta is of interest and what you've been working on lately.

Please apply on: https://jobs.lever.co/getduranta

ELDRICK (https://eldrick.golf) | ML Engineer (must be a golfer) | REMOTE (US preferred)

ELDRICK is building the world’s fastest-growing AI golf club fitter. We recently launched our beta & fittings are growing quickly. We now need an ML Engineer who golfs to fine-tune our existing model for best-in-class fittings. Non-golfers will not be considered.

You’ll:

- Fine-tune and optimize our current ML model for accuracy + trust

- Work with swing/ball data (club speed, ball speed, spin, launch, carry)

- Ship improvements fast with the founding team

You have:

- Hands-on ML experience (PyTorch/TensorFlow/sklearn)

- Proven ability to tune and evaluate models in production

- Startup speed and independence

- A real golf game (handicap required with your application)

Why join:

- Early technical role in a sports/AI startup with breakout traction

- Shape the model golfers will rely on to choose their clubs

- Remote-first, US preferred

Apply: wittman [dot] c [at] gmail — send resume + handicap.

krea.ai | Distributed Systems Eng. & Data Engineers | San Francisco (on-site), CA

I'm the cofounder & CTO of Krea (https://www.krea.ai). We are a startup in San Francisco building browser-based AI creative tools to improve the workflows of artists, designers, and professional creatives. Small team (~22); millions of active users; and raised over $83M from top Silicon Valley 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.

The job:

- 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

Lightning AI | Software Engineer (multiple) | Hybrid | SF/NYC | Full-time |

About Lightning AI: Founded by the creators of Pytorch Lightning, Lightning AI is an end-to-end platform for machine learning and AI development.

We are expanding our engineering team and need product engineers, applied research engineers, and dev productivity engineers to join us as we reshape AI development for researchers and MLEs.

To apply: https://job-boards.greenhouse.io/lightningai