Factory AI | AI, Fullstack, Frontend, Platform, Data, Product Engineers + GTM, Design, Operations | San Francisco, CA (+ NY, London for some roles) | ONSITE | Full-time | https://factory.ai

At Factory we build Droids, autonomous software development agents that review PRs, implement features, run tests, fix incidents, and handle migrations for enterprise engineering teams. Droid is model agnostic and surface agnostic, and works across your CLI, IDE, Web/Desktop app, CI/CD, Slack, and Linear. Customers include Nvidia, Adobe, Adyen, Klarna, and Ernst & Young.

We raised a $150M Series C at a $1.5B valuation, backed by Khosla Ventures, Sequoia, Blackstone, Insight Partners, NEA, and NVIDIA.

We're hiring across the stack:

- AI Engineer: agentic systems, LLM integrations, evals

- Fullstack Engineer: platform, APIs, auth, billing, terminal UIs

- Frontend Engineer: web and desktop apps (React, TypeScript, Electron)

- Platform Engineer: infrastructure, sandboxing, CI/CD, cloud

- Product Engineer: end-to-end feature ownership

- Data Engineer: pipelines, analytics, telemetry at scale

- Security Engineer / Research Engineer

Stack: TypeScript, React, Node.js/Bun, Python, GCP/AWS, Firestore, Electron.

We're also hiring in these roles: Enterprise & Mid-Market AEs, Solutions Engineers, Forward Deployed Engineers, Product Marketing, Product Manager, Product Designer, Partnerships, and Operations (RevOps, BizOps, People Ops, Recruiting). Some roles available in NYC and London.

In-office 5 days a week in SF (walking distance to Caltrain). Catered lunch and dinner, full medical/dental/vision, 401(k).

If you have strong opinions about how AI should actually work for production engineering systems at enterprise scale: we want to talk.

Apply: https://factory.ai/careers

Beatdapp | Machine Learning (ML) Engineer | Vancouver, Canada | ONSITE (Hybrid) | Full-time

Beatdapp is a ~50-person startup delivering audio and streaming integrity technology to media platforms. We process data at TB/PB scale to protect the royalty ecosystem, generate authentic recommendations, and detect AI-generated content.

We are looking for an experienced ML engineer (+3 years) to work on our inference systems and data platform. In this role, you will be executing ML engineering, cloud platform/infrastructure design, and building ML model inference systems. You'll be a good fit if you have deep experience across different data stores, distributed systems, caching, and data transfer protocols. Our team manages and maintains integrated software systems, including inference containers, data processing pipelines, and feature stores/generation platforms.

Stack: Multi-cloud (AWS, GCP), Docker, Airflow, Python, MLflow, BigQuery, SQL, S3, GCS, GitHub Actions, Terraform.

The team is collaborative, and low-ego - we're looking for talented engineers who are comfortable working on projects that move at the pace of weeks rather than months and who love learning. Nice-to-haves include experience with audio/media systems, signal processing/spectograms, speech detection systems, computer vision, GPU hardware development, and event streaming systems.

Full posting: https://beatdapp.breezy.hr/p/fcefc290c7b0-ml-engineer-ii-inf...

Or reach me directly: kevin [at] beatdapp.com

Neo.Tax | Senior Full-Stack Engineer & Senior Data Scientist/ML Engineer | REMOTE (US, Pacific hours) | Full-time | $190K–$210K + equity Neo.Tax automates R&D tax credits and software cost capitalization for enterprises. We ingest data from project management, payroll, identity, and financial systems and use ML/LLMs to turn a process that used to take months into one that takes hours. Small team, real revenue, lots of hard problems in data extraction and pipelines at scale. Currently serving customers like Mercury, Brex, Notion, Adobe, and Capital One.

We're hiring two senior roles:

1) Senior Full-Stack Software Engineer (7+ yrs) TypeScript/Node + React on the front of the house; data ingestion pipelines processing millions of records and flexible schemas across wildly different company types on the back. You'll own projects end-to-end, scope with cross-functional partners, and ship both customer-facing and internal tooling. Bonus: GraphQL, GCP/AWS/Azure, Terraform/DevOps.

2) Senior Data Scientist + ML Engineer (6+ yrs) Own ML/AI problems from definition through production: classification, information extraction, entity resolution, ranking, anomaly detection, plus LLM systems (prompts, retrieval, tool-calling, eval). Python (NumPy/Pandas/sklearn/PyTorch), strong SQL, and real production deployment experience. Bonus: synthetic data, RAG, experience fine-tuning LLMs.

Both are senior, high-autonomy roles--you should be comfortable breaking ambiguous requirements into iterative deliverables and reading unfamiliar code. Not a fit if you want heavy mentorship or detailed specs handed to you.

Apply: https://jobs.ashbyhq.com/neo-tax/

ML6 | Machine Learning Engineer, Data Engineer | Python, TensorFlow, PyTorch, GCP, AWS, Azure | Full-time | Amsterdam, Berlin, Munich, Eindhoven, 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/medior AI Engineer

• Senior AI Project Manager

• Chief Product Owner

and many more!

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

Prior Labs | Berlin / Freiburg / NYC | ONSITE | Full-time | Multiple Roles | priorlabs.ai

Deep learning transformed text and images but mostly skipped tables, even though they're 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. We're building the foundation-model approach for tabular data. We started with TabPFN. v2 was published in Nature and set a new state of the art on tabular benchmarks; since release we've scaled capabilities ~20x and crossed 3M+ downloads and 6k+ GitHub stars. The hard problems are still open: scaling to millions of rows, low-latency inference, new data modalities, and the infrastructure to run all of it in production.

Open roles: - Senior ML Infrastructure Engineer - own multi-cluster GPU infra (Slurm on GCP today, multi-provider next), training performance, and the tooling layer. We spend tens of millions/year on compute; you own that budget. Train your own architecture if you've got one. - ML Engineer, Cloud Platform - design and scale the backend and infra that serve and finetune the models. Python/FastAPI, Terraform, K8s. - Full Stack Engineer, ML Platform - build the product end to end, data upload through inference. TS + Python, React/FastAPI/Postgres. - Research Scientist, Foundation Model - drive the model agenda: novel architectures, scaling 10K to 1M+ samples, multimodal and causal directions. PhD + top-venue publications or equivalent.

Also hiring: Applied Scientist, Forward Deployed ML Engineer, Developer Relations Engineer, AE, BDR.

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

All roles: https://priorlabs.ai/careers

Location: Edirne, Turkey Remote: Yes Willing to relocate: Yes Technologies: Go (Golang), React, MySQL, Python, TypeScript, Docker, Kubernetes, GCP Résumé/CV: drive.google.com/drive/folders/1QS3BpbXu9S_F7P6ORtXOaoy1GZWXYX3j Email: niyazimert039@hotmail.com I have experience building concurrent systems with Go (such as a Concurrent Log Streamer) and full-stack applications with React and MySQL. I am currently leading the GDG on Campus at my university and focusing on Machine Learning and production-ready backend architectures. I am looking for a Machine Learning Developer Intern or Junior Backend role where I can apply my skills in scalable systems.

JustPark | Lead Engineers | London (Hybrid) & Dallas (Hybrid) | Full-time

JustPark is a parking platform serving millions of drivers and operators across the UK and US. We're hiring two lead engineers.

Lead Full Stack Engineer – London, UK React/TypeScript + PHP/Laravel/Go. Lead engineers across our consumer platform, contribute to architecture, and help us scale internationally. 5+ years across the full stack. We welcome applications from seniors wanting to step into a lead role. Apply: https://apply.workable.com/justpark/j/6016D774E3/

Lead Engineer, Oobeo Platform – Dallas, TX Player-coach role: Django/Python, React, React Native, AWS + GCP. You'll own the codebase and manage the team. Strong AI-paired development culture — we're daily Claude Code users and want someone who'll bring the team along. 8+ years backend experience. Apply: https://apply.workable.com/justpark/j/48D1D405D8/

If you're applying from HackerNews, please mention it in your application!

Everflow | Software Engineer | Montreal, QC | Hybrid (Some on-site) | Full-time

Everflow is a SaaS Partner Marketing platform for managing and scaling revenue from affiliates, partnerships, and marketing channels. We're 10 years in, profitable, no outside funding

The stack : Java, Angular (Typescript), Go, MySQL, Redis. We're a GCP shop and make heavy use of Pub/Sub, BigQuery, BigTable and Kubernetes (GKE)

We're looking for software engineers and / or senior software engineers (at least 3 years) with some hands on experience to join the growing (~15 devs / SREs) team and help us build the product. We don't have a specific profile in mind but you have a track record of shipping, are interested in architecture / care about the craft and are comfortable in a no-downtime environment.

Fluency in french is a hard requirement

Email me directly at everflow-hn@everflow.io

MongoDB | Senior/Staff/Lead Site Reliability Engineers (SRE) and Infra SWE, Multiple Teams | REMOTE (US) or HYBRID (NYC, Dublin) | Full-Time

We are looking for experienced Site Reliability Engineers and Infrastructure Software Engineers to help build, scale, and secure the foundation of MongoDB Atlas, our globally distributed, multi-cloud database platform running across AWS, GCP, and Azure.

SRE at MongoDB is a builder role. We are heavily focused on making the platform more scalable, resilient, secure and self-service.

We have open roles (Senior, Staff, Lead) across several of our core Infrastructure teams:

- Infrastructure Security (InfraSec): Building infrastructure security controls and security observability tooling leveraging eBPF and Linux security mechanisms.

- Fabric: Building out service mesh, networking, and internal traffic routing.

- Storage Layer Services: Building our next-generation disaggregated storage architectures.

- Fleet Management & Deployments: Automating the lifecycle, deployments, and control planes of massive multi-cloud Kubernetes clusters.

- Atlas Infrastructure: Building core infrastructure operations on hundreds of thousands of Linux servers.

You could be a fit if:

- 5+ years of experience in SWE, SRE, or similar roles.

- Proficiency in at least one programming language: Golang, Rust, Python, C/C++ etc.

- Deep understanding of Linux internals, networking, distributed systems, and/or Kubernetes.

- Familiarity with at least one major cloud provider (AWS, GCP, or Azure).

- A builder's mentality: you think about failure modes, observability, and operability alongside correctness.

For any questions, or to apply directly (please mention HN) email: hani.benhabiles+hn@mongodb.com