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/

Connie Health | https://www.conniehealth.com/ | Multiple senior 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 Pitango, 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.

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

Lead AI/ML Engineer | $152,000 - $182,000 + equity

Responsibilities: Player-coach role, leading a small team of AI/ML and software engineers to build our top-of-funnel systems. Tech Stack: Python, "traditional" AI/ML model building tools (scikit-learn, PyTorch, XGBoost), LLMs, AWS, Aurora/Postgres, Redshift

Senior Backend Engineer | $130,000 - $156,000 + equity

Responsibilities: Build the core backend systems that power our top-of-funnel, such as tracking leads through various channels, integrating with affiliate partner marketplaces, working with AI/ML engineers to build our lead bidding models, dynamically mapping leads to agents, and AI-based lead pre-qualification. Tech Stack: TypeScript + NestJS, Postgres, AWS, Docker + Kubernetes

I am Huan, CTO at Connie Health. If you are interested, please feel free reach out to me directly at with your resume: huan.lai (at) conniehealth.com !

Stealth Solar Tech Startup | Remote (EU-friendly) | Full-time or Contract

We are a well-funded stealth startup building a B2C platform to radically reform the U.S. residential solar industry. Our mission is to combat pervasive consumer distrust and inefficiencies by empowering homeowners with a transparent, high-fidelity, and interactive 3D solar design tool. We are a small, dedicated team working closely with an established industry partner for rapid, real-world testing and iteration.

We are looking for a Senior 2D/3D Computer Vision Engineer to build the core technology that makes our platform possible. The central challenge is to automatically generate clean, geometrically accurate, and simplified 3D roof models from raw aerial Digital Surface Models (DSM) and RGB data. Your work will be the foundation of our user experience, replacing the opaque and slow manual processes that dominate the solar industry today.

As the owner of this domain, you will ideally:

• Define the Process: Take charge of the entire ML pipeline, from R&D to production. This includes refining the annotation process and enhancing our existing Three.js-based 3D annotation tool to build a high-quality, large-scale dataset.

• Build the Models: Research, develop, and train a suite of models to handle roofprint segmentation, structured prediction of planar roof wireframes from point clouds, and detection/classification of roof obstructions (chimneys, pipes, windows, etc.).

• Ship to Production: Engineer a scalable and robust inference pipeline that can process new properties on demand.

Our stack is Python, PyTorch, FastAPI, Rasterio/GDAL, and JavaScript/Three.js for the annotation tool. We are looking for a pragmatic and experienced engineer who loves tackling complex 3D vision problems. You should be comfortable with both 2D and 3D data (especially point clouds and geospatial imagery) and have a proven track record of delivering end-to-end ML solutions.

To apply, please email vlad@design.solar.

Kaedim | Software Engineer, Machine Learning Engineer, Customer Support Engineer, Product Manager, Founding Recruiter | 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

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

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 (~20); 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.

- Build data pipelines and deploy ML models to make sense of raw data (e.g. find clean scenes within videos).

- Learn ML engineering from world-class researchers on a small tight-knit team. As you’re building data pipelines, you’ll contribute to foundation image, video, and world models from 0 → production, and see them used by millions of Krea users.

- Play with massive amounts of compute on 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 deep experience with distributed systems, kubernetes, 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 latest text-to-image model → https://krea.ai/blog/flux-krea-open-source-release

- HN discussion around FLUX.1 Krea → https://news.ycombinator.com/item?id=44745555

You can contact me at:

  d+hn@krea.ai