Location: Dallas, TX Remote: Yes Willing to relocate: Yes (including internationally) Technologies: Python, LangGraph, LangChain, MCP, RAG, supervised fine-tuning (LoRA/PEFT), Anthropic/OpenAI APIs, PyTorch, Spark, MLflow, Docker, Kubernetes, AWS/Azure/GCP Résumé/CV: https://suneelkalva.com Email: suneel.kalva190700@gmail.com

AI engineer at U.S. Bank building production LLM systems: a RAG assistant over 500K+ documents for 200+ analysts, LLM eval harnesses (hallucination, PII, prompt-injection), and fine-tuned LLaMA/Mistral models. Outside work I built and published mendrift-mcp (PyPI, listed on the official MCP Registry) an autonomous MLOps incident-response agent with an HMAC-gated approval layer, evaluated on a 19-scenario trajectory harness. Looking for applied AI / ML engineer roles building agentic systems.

Location: Blacksburg, Virginia, USA

Remote: Yes (open to remote, hybrid, or on-site)

Willing to relocate: Yes (Anywhere in the US)

Technologies: Java, Spring Boot, Python, FastAPI, JavaScript/TypeScript, React, Next.js, Node.js, PostgreSQL, MongoDB, GraphQL, Kafka, Docker, Kubernetes, AWS, Redis, Elasticsearch, CI/CD, PyTorch, TensorFlow, OpenAI, LangChain

Résumé/CV: https://drive.google.com/file/d/1cL0z5wFMD6v78Kavk63oTlSX67K... | https://github.com/ansharma07

Email: anshul03@vt.edu

Software Engineer with 3+ years of experience building scalable full-stack applications using React, Next.js, Java, Spring Boot, and AWS. Recently completed an M.S. in Computer Engineering from Virginia Tech. Experienced in building production systems, integrating LLMs into real-world applications, and developing end-to-end features from backend services to modern web frontends.

Looking for Full Stack Software Engineer, Backend Software Engineer, or AI Software Engineer roles at startups or product-focused companies where I can build impactful products, own features end-to-end, and solve challenging engineering problems at scale.

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 the https://jobs.ml6.eu/

Arsenal FC | Research Engineer | London Colney, UK | HYBRID | FULL-TIME

Yes, the 25/26 Premier League Champions! You'd be embedded with the Men's First Team analysis dept building the internal tooling analysts and coaches use day to day — full-stack apps plus applied ML to automate and augment football analysis. The fun part is the constraint: it has to be genuinely useful to coaching staff and hold up against a live training/matchday schedule, not just be technically neat.

Python / SQL / TypeScript, PyData stack (Pandas/Polars, Altair, etc.), PyTorch/JAX/TF. You'll own things end-to-end, data through UI.

Looking for strong quant background, first-principles engineering judgment, and taste in how insights get presented. Here's a taste of what the work looks like: https://x.com/karun1710/status/2080382035613405584?s=20

Hybrid, DBS check and UK Right to Work required. Closes 6 Aug 2026. Apply: https://careers.arsenal.com/jobs/8083296-research-engineer

Gauss Labs | Senior AI Engineer (ML), AI Scientist (ML) | Palo Alto, CA & Seoul, South Korea | HYBRID | FULL-TIME

We build Industrial AI for the world's leading manufacturers for real production data with real yield impact. We are currently building our own tabular foundation models (pretraining, fine-tuning, serving at scale) and Transformer architectures for time-series forecasting on noisy, sparse, irregularly sampled sensor data.

Senior AI Engineer - ML (Palo Alto): own the training/serving/monitoring infrastructure for our foundation models and take them from prototype to production. Python, PyTorch, Docker/K8s, CI/CD; 3+ yrs production ML infra; BS+6 or MS/PhD+4. Distributed multi-GPU training a plus. https://jobs.lever.co/gausslabs/13bb4715-22f7-40a7-a941-4612...

AI Scientist - ML (Palo Alto or Seoul): design Transformer-based sequence models for manufacturing time series, own EDA through deployment, publish and patent. MS/PhD, 3+ yrs deep learning on time series, PyTorch, top-tier pubs. https://jobs.lever.co/gausslabs/dbfd0b6c-d2e9-460c-91a0-6dde...

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 & INDIA) | Full Time

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 threats — analyzing 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? 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.

Palace Cybersecurity | Founding Deep Learning Engineer | New York or US Remote

Palace Cybersecurity secures large organizations from employees abusing cloud access privileges (Google Workspace, Microsoft SharePoint, Snowflake). We are commercializing Facade, a method for deep learning anomaly detection invented and deployed at Google (published at https://arxiv.org/abs/2412.06700).

Looking for a senior/staff level engineer with >5 YoE shipping production machine learning systems, and some experience with deep learning recommendation models. Prior experience in the cybersecurity domain is preferred, but not required. Fluency in an ML framework (e.g. Pytorch, Jax, or Tensorflow) and ETL data orchestration (e.g. Spark, Beam, Dagster) is required. You will work closely with the founder, an author of the above paper, on building and deploying a system for enterprise customers.

Contact at hiring[at]palacecyber.com