What you’ll do: Build and deploy AI/ML solutions (POC → production) Work across Python, data pipelines, and cloud (AWS) Evaluate new tools and make practical tradeoffs Mentor engineers and lead small teams
Requirements: 7–10+ years experience Production experience in AWS Experience deploying ML systems (TensorFlow/PyTorch) Strong communication skills
Must have: US Citizen
Eligible for Public Trust If interested, send your resume to bhemphill@capitaltg.com and mention you saw this on Hacker News.
As a Forward Deployed Engineer, you’ll act as a technical ambassador for Adobe—splitting your time between: •Hands-on engineering (building AI-powered systems, APIs, and integrations) •Direct collaboration with customer engineering teams
The Stack: •Languages: Python, Java, Scala •ML/AI Frameworks: PyTorch, TensorFlow, JAX •LLM Systems: RAG pipelines, agents, prompt orchestration, evaluation frameworks •Cloud & DevOps: AWS, GCP, Azure, Docker, CI/CD, Git •MLOps / LLMOps: Evaluation pipelines, prompt/version management, feature flags, canary releases
What we’re looking for: We’re looking for a senior engineer (9+ years) with hands-on AI/ML and LLM experience who takes a build-first approach. You bring strong Python and cloud skills, experience with APIs, data analysis, and observability, and can take systems from prototype to production. You understand modern AI architectures (RAG, agents, evaluation), have a track record of shipping and iterating in real-world environments, and can turn data into action. You’re also a strong communicator who can work directly with customers, guide implementations, and drive measurable impact.
Comp: $208,300 - $301,600 base + Equity + Adobe’s notoriously good benefits.
How to Apply: Email me directly at skatkar@adobe.com with "HN: [Your Name]" in the subject line.
Official Link: https://careers.adobe.com/us/en/job/ADOBUSR163356EXTERNALENU...
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/
Project Debug raises, sorts by sex, and releases millions of (non-biting) male mosquitoes in Singapore to reduce the local mosquito population and prevent the spread of dengue and other mosquito-borne illnesses. Our trial in Fresno, CA showed a 95% reduction in female mosquitoes during the seasonal peak.
Our engineering team is pretty small and we need a solid generalist engineer who is interested in becoming a domain expert in our factory, where we do automated rearing and sex sorting. If you run a homelab, have tinkered with Arduino, and can prompt/write some Python, we can teach you everything you need to know about our stack (Go, Python, React, Kubernetes, Tensorflow).
Reach out to katejm@debugproject.com and please mention HN in your email.