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45 matching jobs

  • Go
  • Machine Learning

Aqora | Paris, France / US / Remote (EU) | Multiple roles | https://aqora.io

Aqora is the "Hugging Face for quantum computing". We host datasets, benchmarks, and use-case challenges, plus the orchestration layer to run quantum algorithms and workflows across hardware backends, so results are reproducible, comparable, and actually move the field forward. We grew out of the QuantX hackathons at École Polytechnique and now run competitions and a public datasets hub for partners across pharma, finance, energy, and defense.

We're hiring:

* Senior Full Stack Software Engineer. Build the platform end to end: datasets hub, challenges, leaderboards, and the workflow engine that orchestrates quantum jobs across backends. You own features from schema to UI and care about developer experience. Bonus: data, ML, or research-platform experience.

* Quantum Computing Expert. Design challenges, curate datasets, define benchmarks, and shape how algorithms and workflows run on the platform. Work directly with enterprise partners to translate their problems into something the community can solve. PhD or equivalent depth in quantum algorithms, QML, or optimization.

* Chief Commercial Officer, US. Own US go-to-market end to end: strategy, enterprise pipeline, team build-out. You've scaled commercial functions at a deep-tech, dev-tools, or research-platform company. Based in the US.

* Head of Marketing. Positioning, demand gen, and brand for a category still being defined. B2B technical marketing background required; quantum experience welcome but not necessary, curiosity is.

* Product Manager. Drive the roadmap across the datasets hub, challenges platform, benchmarks, and workflow orchestration. Strong technical instincts and experience shipping developer or research-facing products.

* Sales, EU. Enterprise sales into R&D and innovation teams across Europe. Long, technical sales cycles, consultative selling, comfort talking to PhDs and procurement on the same day. EU-based, remote.

Reach out to jannes[at]aqora.io with a short note on why this problem space and what you've built or sold before.

  • Go
  • Python
  • .NET
  • Node.js
  • REST
  • AWS
  • GCP
  • iOS
  • Machine Learning

Karma (pre-seed) | Senior Backend / Full-Stack Engineer (Founding Team) | London, UK | ONSITE (3-5 days London) | £75-100k base + meaningful equity | careers@karmapt.com

We're a small London team, 2+ years in, building a real-time consumer platform powered by AI in a category that doesn't exist yet, going after a problem worth solving. Free for users, brand-funded on the commercial side. Working iOS prototype, validated UX, advisory board across enterprise tech and behavioural science, alpha launches lined up for later in 2026.

The founding tech team is already in place across iOS, Flutter, AI/ML, and product design, with backgrounds across agentic AI, consumer fintech, and mobile at scale. The seat we're hiring for is the founding backend / full-stack engineer who'll own the architecture. APIs, data layer, real-time systems, cloud infrastructure. You'll design it from scratch alongside the rest of the team, built for consumer scale from day one.

What we're looking for:

- Built and scaled backends for consumer products under real load. Social, marketplace, or community experience a strong plus.

- Fluent in Python, Go, Node, or similar. Strong opinions on API design, microservices, and data modelling.

- Comfortable with event-driven architectures, real-time systems, and AWS or GCP at production scale.

- Bonus: ad-serving infrastructure, partner APIs, rewards/loyalty systems.

- UK-based already (no net-new visa sponsorship for this role), with us in our London office most days. We're a small team that works best in the room together.

We're vague on the concept for stealth reasons. Happy to take you through our prototype on a call.

Email careers@karmapt.com and mention Hacker News in your note. I'll come back quickly.

  • C
  • C++
  • C#
  • Java
  • Python
  • Docker
  • Machine Learning
  • Full-time

Engineering Square | AI Engineer | Bay Area, CA | ONSITE | Full-Time

We're hiring an AI Engineer to build and ship production AI systems - not research prototypes. Startup experience is a must: we want someone who has shipped fast in a small team, owned systems end-to-end, and is comfortable with ambiguity. Big-company-only resumes won't be a fit.

You will own: - RAG pipelines and agentic workflows (end-to-end accuracy) - GPU-optimized model deployment (Trident-style architecture) - Production MLOps: distillation, fine-tuning, training orchestration - Data modeling for AI persona capabilities - The infra around it: Docker, CI/CD, logging, monitoring, observability

You should have: - 3-12 years shipping AI/ML in production (notebooks do not count) - Time at a startup or scale-up where you owned what you built - Strong Python; bonus for C++/Java/C# in performance-critical paths - Hands-on with RAG, MLOps tooling, and GPU deployment at scale

W2 full-time. Must be authorized to work in the US. No remote, no C2C.

Apply: saikumar@engineeringsquare.us (subject: "AI Engineer - [Your Name]")

  • Haskell
  • Python
  • Rust
  • PyTorch
  • AWS
  • Linux
  • macOS
  • Machine Learning
  • Full-time

Burnin (London or NYC) | Founding Research Scientist + Founding Engineering Lead | Hybrid (Some on-site) | Full-time

We are building the trust stack for AI code generation, targeted at high-stakes computing where wrong numbers cost real money: a statically typed functional language designed for coding models, a compiler whose guarantees double as audit-grade trust infrastructure, and a coding model fine-tuned on the language with compiler fitness as the training signal. Language and model are co-designed.

Small team out of PyTorch, FAIR, and Meta. Strong institutional VC support from our pre-seed; active investor interest heading into seed.

Founding Research Scientist: own the agenda across the language and the model. Type system design, compiler analyses that produce useful fitness gradients, and fine-tuning open-weight coding models on a language with no pretraining footprint. Publish in PL and ML venues. Strongest fits cross between machine learning, programming languages, and formal methods. PhD preferred, equivalent output equally fine. Stack is Rust, Lean 4, Python.

Founding Engineering Lead: own engineering across compiler internals, language runtime, GPU backends, notebook and library tooling, and the AI infrastructure around training, evaluation, model release, and likely public inference. We already support x86 and ARM, CUDA and AMD, macOS and Linux, and the matrix grows. Real feel for statically typed functional programming expected; the kind of engineer who picks up Lean or Haskell on a weekend because they wanted to. Have led engineering before, formally or not. Stack is mostly Rust with Python where it earns its place, primarily on AWS.

Both roles: comfortable with early-stage ambiguity, define your own roadmap, defend it with evidence.

Apply: RS: https://wellfound.com/l/2Carrr Eng Lead: https://wellfound.com/l/2CewDC

Socials: YT: https://www.youtube.com/channel/UC4DLS_emqwKXO7A9qaOtxlw SS: https://burninai.substack.com/

  • JavaScript
  • Python
  • TypeScript
  • GCP
  • Machine Learning
  • Full-time

Pathos AI | Senior Software / AI Engineer | NYC (hybrid, 3-4 days onsite) | Full-time | $180-200K + equity | VISA

Pathos is an oncology biotech building AI as the operating system for drug development. We have: - 200+ petabytes of multimodal patient data linked to outcomes - The largest foundation model in oncology (in development) - Backing to build a generational company - Founded by Eric Lefkofsky (Tempus) and Ryan Fukushima

This role is 0→1 product work. You'll build: - AI agents and copilots for internal teams (BD, clinical, computational biology, lab) - MCP-style servers so agents can safely interact with internal systems - Data pipelines into a governed warehouse / knowledge graph

Looking for senior software/ML engineers who: - Have 4+ years shipping user-facing systems - Are fluent in Python + TypeScript/JavaScript, comfortable full-stack - Have built LLM-powered workflows (OpenAI API or similar) - Have production experience with APIs, eventing, data engineering (GCP/BigQuery a plus) - Bonus: prior agent/retrieval/ML infra work, or experience in regulated clinical environments

Hybrid in NYC (3-4 days onsite). $180-200K base + equity (3-yr vest, no liquidity until exit). Visa support available.

Apply: email chris.poshka+hn@pathos.com.