Lucia | Director of Corp Dev · Product Marketing Associate · MLOps Engineer | Remote (NYC / SEA / global overlap) | $140K–$200K + meaningful equity

Distribution is one of the last durable moats left; models are commoditizing, but knowing how attention and demand actually move through a system still compounds. That's what we're building: a growth control plane that turns distribution into something you can model and act on with certainty. Get this right and the outcome isn't in question.

We're hiring across three roles:

Director, Corporate Development: own strategic partnerships, fundraising support, and M&A/inorganic growth. For someone who can operate at the intersection of deal-making and narrative, and help steer where this company goes next.

Product Marketing Associate: translate a technically deep product into sharp positioning and demand. For someone who can make causal modeling and world models land with real buyers. Experience with working with social media and influencers, Reddit strongly preferred. Data Science Background heavily preferred.

MLOps Engineer: own the infra behind our modeling; production pipelines and serving for causal graph inference, state space models, and world models (JEPA-I, JEPA-II style). Creating certainty in distribution, in production, not just in notebooks. Stack: Python, PyTorch, some Rust; GCP; Ray for distributed training.

Interview process: intro call, screen, virtual onsite, decision.

Apply: with an email with your CV to emily.thompson@luciaprotocol.com mention HN SEPT2026 in subject

Flow Traders | Research Engineer | Hong Kong/ London (onsite) | Full Time | Visa | Relocation

Flow Traders is a leading proprietary trading firm with an entrepreneurial and innovative Tech culture at the heart of its business. We are looking for Research Engineers in our Hong Kong office. Join us build and scale the research framework behind our systematic trading models. You’ll work closely with Quantitative Researchers, drive end‑to‑end ML pipelines, and shape global standards for data‑driven model development. Research Engineers have joint responsibility for conducting research and delivering models.

You’ll thrive if you have: - 8+ years in ML / Data Science / Research Engineering (Postdoc/Faculty can count towards this); - Strong Python and libraries such as Ray, numpy, PyTorch, and pandas; - Solid math/stats background; - Experience with modern dev practices & cloud technologies.

If you're interested, apply here: https://lnkd.in/dWhh_m28

Or if you'd like to see other roles at Flow Traders, please check our careers website: https://flowtraders.com/careers/

SentiLink | https://www.sentilink.com/ | Engineering & Data Science | REMOTE, HYBRID, and ONSITE (USA) | Full Time

Primarily hiring in the U.S. for more senior level roles.

We’re hiring across Engineering (Full-stack and Infra) and Data Science / ML roles. Hiring at Manager/Director level as well as mid-level/Senior levels. We’re language-agnostic and hire for fundamentals.

Across the team you’ll see: • Python, Go, Rust, Scala • PostgreSQL, Snowflake • Kafka, Redis • Terraform, Kubernetes • ML: XGBoost, PyTorch, Feature stores, real-time scoring pipelines

If you love solving complex distributed systems challenges, building customer-facing ML products, or working on detection systems that must be both high-precision and low-latency, you’ll fit right in.

Roles are here: https://jobs.ashbyhq.com/sentilink?utm_source=hacker_news If you have questions, feel free to reach out directly at liz.woodfield at sentilink dot com.

At SentiLink, we stop identity fraud at scale. Our products protect banks, fintechs, marketplaces, and leading financial institutions from synthetic identity fraud, identity theft, and emerging threat. We analyze millions of applications while keeping real users moving fast.

We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.

SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.

We’re a small, high-impact team solving one of the most interesting and adversarial problems in fintech: how do you build systems that reliably determine whether a real human is on the other side of a financial transaction?

  Location: Brazil at the moment, nomadic
  Remote: Yes
  Willing to relocate: Maybe
  Technologies: PyTorch, Deep Learning, LLM, Diffusion models, NumPy, JAX (a bit), CUDA, C/C++ | SvelteKit, TypeScript, tailwind, drizzle, Pi, Agents | DevOps 
  CV: https://alexey.work/cv?ref=49522897
  Email: alexey.zaytsev@gmail.com

Open to both short/long-term contract or a full-time position if the chemistry is there.

I fluctuate between:

- Deep learning / Neural networks - from architecture to inference. You might have used my ♥ Lovely Tensors library if you work with PyTorch (or JAX). Some CUDA, pytorch profiler, etc.

https://github.com/xl0/lovely-tensors https://github.com/xl0/lovely-jax https://github.com/xl0/lovely-numpy

https://github.com/xl0/tidygrad - autograd from scratch https://github.com/xl0/latent-tools https://github.com/xl0/nvml-tool - manage nvidia CPU fans/power

- Full-stack AI-adjacent applications - the usual LLM API tool-calling "agentinc" AI + full-stack web, ideally with SvelteKit (typescript, tailwind, shadcn, drizzle, etc).

https://chat.alexey.work https://lovely-docs.github.io https://pelican.alexey.work/gallery

In my past lives: Linux kernel development, Molecular Biology Masters degree, Electronics engineering in Shenzhen: https://alexey.work/cv?ref=49522897&view=full

ML6 | Senior AI Engineer | Python, TensorFlow, PyTorch, GCP, AWS, Azure | Full-time | Amsterdam, Berlin, Munich, Eindhoven, Ghent (EU) On-site/hybrid

We are an AI engineering company that builds end-to-end AI 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/en/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 and help bring application into production by building data pipelines and cloud infrastructure on all of the major cloud providers (GCP, AWS, Azure).

Open roles include:

• Senior AI Engineer

• Senior Software Engineer

• Medior AI Engineer

• Squad Lead GenAI

and many more!

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

Steg.AI | Machine Learning Engineer | Irvine, CA (Onsite) | Full Time

Steg.AI develops AI-powered watermarking technology to protect and authenticate digital media. Our invisible watermarks are imperceptible to humans but robustly detectable by our proprietary models. Founded in 2019, we're an NSF- and investor-backed startup in Orange County, CA, with a team of 6 PhDs in computer vision.

We're hiring a Machine Learning Engineer to help push the frontier of AI for watermarking, steganography, and media provenance. You'll take state-of-the-art steganography models and own their journey to production — optimizing and deploying them on desktop and cloud platforms, serving as the link between research and customer-facing products.

Responsibilities: productionize novel steganography models, build inference pipelines, integrate models into cloud platforms, benchmark performance, and turn research into maintainable production code.

Required: PyTorch, ONNX export, experience deploying deep learning models to the cloud, Python and C/C++, strong cross-team communication.

Bonus: background in steganography/watermarking/media provenance, video/image codecs, MLOps tooling, CV/ML publications or open-source contributions.

To apply, send your resume to careers@steg.ai