Founding Engineer – AI/Finance (Retail Trading Research & Strategy) - Remote or New York City

We are building an AI platform that empowers retail traders with institutional-grade research tools and real-time strategy guidance. As our first technical hire, you will own the full lifecycle from AI model research to production deployment. You will design and implement data pipelines for market, news, and sentiment feeds, fine-tune LLMs for financial reasoning, and ship features that help retail traders make smarter, faster decisions with hedge-fund-level tooling. You will collaborate directly with AI researchers, engineers, traders, and quants from top institutions to bring financial intelligence to the retail trading world.

Minimal Qualifications Proficiency in Python and modern ML/AI frameworks (e.g., PyTorch, JAX) Hands-on experience with LLMs, transformers, time-series modeling, or AI agents Strong understanding of cloud infrastructure (AWS/GCP), scalable API development, and data engineering pipelines Proven ability to take projects from initial concept to production deployment Master’s or PhD in Computer Science, Mathematics, or Physics (in progress acceptable), or a Bachelor’s degree with a proven track record of work supported by a GitHub

What We’re Looking For AI/ML Expertise – Proven experience with LLMs, transformers, or other foundation models Cloud & Infrastructure Skills – Proficiency in the Python ML stack, scalable API development, and cloud platforms such as AWS or GCP End-to-End Ownership – Ability to take projects from concept through production deployment Research Mindset – Experience implementing state-of-the-art AI methods and conducting research in ML/AI

Nice to Have Publications in ML/AI conferences (NeurIPS, ICML, ICLR, ACL, CVPR, etc.) Trade strategy generation and backtesting experience Interest in trading and understanding of retail workflows across stocks, crypto, and futures Familiarity with brokerage APIs (Interactive Brokers, Alpaca, etc.) Knowledge of options strategies, risk management, and portfolio optimization The drive, creativity, and technical depth to be that “cracked” engineer

Email Resumes/GitHub: alexyskoutnev@gmail.com

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

DESY | Scientific AI | Hamburg, Germany | HYBRID | 2-year positions | Full-time

DESY is one of the world's leading research centers and is now building a dedicated AI team for high-profile European projects.

Hiring for two positions:

-- Scientific AI Expert: Process Optimization: GPU optimization for AI/molecular dynamics, HPC drug development projects. Requirements: Strong C++/CUDA/Python, TensorFlow/PyTorch, HPC/parallel computing experience. https://v22.desy.de/e67416/records288699/index_eng.html

-- Scientific AI Expert: Data Curation & Training: Dataset curation and ML pipeline development. Requirements: Data engineering, large-scale data handling and LLMs/generative AI experience. https://v22.desy.de/e67416/records288695/index_eng.html

Work environment:

-- International research campus

-- Hybrid setting, up to 50% remote work

-- Flexible hours

-- Secure public employment and comprehensive benefits

Application must be done through the formal links provided. Feel free to ping me through HN if you have experience in generative models or heterogeneous graph NNs.

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

Connie Health is a fast-growing healthtech startup on a mission to empower older Americans to make confident, worry-free Medicare plan decisions. We offer a tech-enabled Medicare navigation platform that combines an AI-driven technology with local Medicare experts to help people select optimal healthcare plans and navigate their benefits. Our culture is mission-driven, collaborative, and innovative, as we strive to transform healthcare through data-driven insights and personalized guidance.

We are building a two-sided marketplace, connecting older Americans looking for health insurance with local Medicare agents.

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

Senior Backend Engineer (Call Infrastructure) | $130,000 - $156,000 + Equity

Responsibilities: Lead the development of our Twilio-based calling + messaging infrastructure, enabling seamless communications between Medicare agents and customers. You must have significant experience with Twilio. Tech Stack: TypeScript + NestJS, Twilio / Five9 / Zoom, Postgres, AWS, Docker + Kubernetes

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), open source 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 !

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

Matroid | DL/AI/CV, Infra, WebApp, Field Software Engineer positions | San Francisco Bay Area (Palo Alto) | Full-Time | ONSITE

Matroid brings cutting edge computer vision to visual inspection, with a “no programming required” product that empowers businesses and industry to solve their unique inspection challenges.

We’re a rapidly growing Series B funded startup, with customers in the manufacturing and video security industries.

We’re looking for top engineers - both junior and senior - who are excited about solving hard problems in and alongside computer vision and productizing it to serve real-world use-cases.

$150K-$300K +equity, depending on role and expertise.

Tech stack includes:

  Deep Learning / CV: Python, PyTorch

  Infra: Kubernetes, Kafka, Redis, AWS

  WebApp: React, Node, Mongo, Docker

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

I'm the cofounder of Krea (https://www.krea.ai), a startup in San Francisco building browser-based AI creative tools to improve the workflows of artists, designers, and creatives. Small team (~15); millions of active users; and we've raised over $83M from top silicon valley 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.

- Work with our research team to build ML pipelines and deploy models to make sense of raw data (example - 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.

Our 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 (though not required!). Cool side projects are a green flag.

A few links about us:

- 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

- A cool demo by one of our users → https://x.com/syntonikka/status/1941198480820797921

You can contact me at d+hn@krea.ai (the +hn will bump your email in my inbox).

Cosuno | Senior Full Stack Developer (TypeScript) / Senior Machine Learning Engineer – Generative AI | Remote (EU) / Berlin | Full-time | https://www.cosuno.com

Cosuno is a fast-growing tech startup revolutionizing the construction industry with our digital platform for tenders and procurement. We use AI to analyze millions of price data points, helping construction companies create precise and efficient bids. We're looking to expand our team with creative minds who want to solve real-world problems and reshape a massive industry. We are an open-minded, collaborative, and international team.

We're hiring for two key senior roles:

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Senior Full Stack Developer (TypeScript)

Location: Remote (EU) / Berlin

Stack: TypeScript, React, Node.js, Cypress, Kubernetes, AWS

Mission: Take full ownership of features on both the frontend and backend of our product. You'll have the responsibility to extend and build upon our platform to make it more valuable, reliable, and maintainable. We value a trunk-based development workflow with daily releases, comprehensive end-to-end testing, and a solid CI/CD pipeline.

You have: 5+ years of hands-on engineering experience, substantial expertise in JavaScript/TypeScript, and experience with Node.js (React is a plus). You thrive in an agile environment and have a pragmatic, startup mindset.

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Senior Machine Learning Engineer – Generative AI

Location: Remote (EU) / Berlin

Mission: Own end-to-end ML workflows from data ingestion to production deployment. You will dive deep into core application domains like price prediction, two-sided market design (ranking/recommendations), or agentic workflows using state-of-the-art LLMs. A key part of your role will be establishing and enforcing MLOps and LLMops best practices.

You have: 5+ years of ML engineering experience, with at least one year working with LLMs. You possess strong Python skills, a proven track record of deploying containerized services (Docker, Kubernetes), and deep expertise in at least one of the following: deep learning (PyTorch, Transformers), ranking/matching algorithms, or LLMops (RAG, evals, fine-tuning).

Interested? To apply and for more detailed information, please see the full job descriptions on our careers page: https://www.cosuno.com/en/company