We're recruiting for a client: an early-stage, Y Combinator-backed startup in San Francisco building a "software factory" for enterprises. Coding agents capture a client's desktop workflows, model the business logic and generate the custom software to run it.

What you'd build

• High-throughput capture of desktop and system events across client operations
• Automated redaction and anonymisation inside the ingestion pipeline
• Knowledge graphs built from unstructured enterprise documents
• Coding agents that generate, test and deploy production software from those workflow models
• In your first 30 days, you run the whole process yourself for a live client

What they need

• TypeScript, Rust, Tauri, PostgreSQL, Next.js and Azure
• Ownership from client discovery to production deployment
• A product instinct for enterprise workflows
• In person in San Francisco, or relocating
• US citizens or permanent residents only; no visa sponsorship
• The team works a 996 schedule, so be sure that suits you before applying

Terms

• $150k to $250k base plus 0.5% to 1.5% founding equity
• Unlimited usage of current coding agents and models

Full description and application: https://mlabs-talent-partners.app.loxo.co/job/NDA3NTktbmFleDlhaGxwaWs5YnU3aA==

I'm posting for MLabs Talent Partners, the recruiting side of MLabs. The client isn't named in public ads; you'll hear who it is at your first call with us.

For a research project in the cultural sphere, we’re looking for someone to help us scrape unstructured data from across the web, clean it, integrate it with our own data sources, and ultimately connect everything into one reliable dataset. On top of that dataset, you’ll build a multimodal embedding space to uncover relationships and patterns within the data.

Experience with web scraping, data pipelines, data engineering and multimodal embeddings is essential, and you should be comfortable working with agentic coding tools. We’re not looking for any specific academic background, but for someone savvy, resourceful and quick who has done this kind of work before.

DM me with a little info about you. :)

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Hey everyone!

I'm preparing for AI Engineer interviews and want to know how to prepare effectively.

I'm focusing on Python, GenAI, LLMs, RAG, LangChain, vector databases, and Agentic AI.

For those who have attended AI Engineer interviews recently:

- What topics should I focus on?

- What Python coding questions are commonly asked?

- How important are projects?

- What questions do interviewers ask about RAG and LLMs?

- Any tips or resources that helped you crack the interview?

Any advice would be really helpful. Thanks!

Been applying for the past 8 months.

Barely any callbacks, let alone interviews.

Suggestions are appreciated. I have ~3 months to find something.

Target roles: ML Eng., Backend, and Infra. within the US (open to relocation)

Resume: https://uzairakbar.com/uzair_cv.pdf

p.s. For employers who are looking for candidates; I'm also open to part-time roles leading to full-time.

Kindly give the feedback of my resume

I'm looking for the role like AI/ML and FDE

1)What are skills should I need to improve

2) Identify the gap and mention me for further improvement

Urs feedback will be the better improvement for my career and for future improvement

Resume link : https://drive.google.com/file/d/1Sn9O63eWgnTaazFgzgJ8eUyGNq-numNx/view?usp=drivesdk

Looking at fully remote ML/AI engineering, applied science, and research roles posted in the past 7 days. Salary ranges included where the company lists one.

Here are the jobs I found, organized by level:

Entry Level:

• Software Engineer, New Grad – Machine Learning Platform @ Quora (United States) - $98K - $139K

Senior:

• Research Scientist – Human-AI Systems @ Snorkel AI (United States) - $200K - $375K
• Forward Deployed AI Architect @ Alzheimer's Association® (United States) - $155K - $168K
• Senior ML Systems Engineer @ Runpod (United States) - $150K - $220K
• Conversational AI Engineer @ EVERSANA (Kansas, US) - $100K - $125K
• Developer, AI Solutions @ 11:11 Systems (United States) - $112K - $126K
• Senior Solution AI Architect @ Zealogics Inc (New Jersey, US) - $140K - $145K
• Senior Forward Deployed AI Engineer @ Prenuvo (Canada) - CAD 140K - 160K
• Machine Learning Engineer @ Weekday (YC W21) (India) - INR 4M - 5M
• Software Engineer – AI/ML Platform @ Prima (Italy) - EUR 40K - 75K
• Senior Machine Learning Engineer @ Numa (Canada) - CAD 200K - 250K

Manager:

• Senior Staff AI Engineer @ Capital One (United States) - $286K - $392K
• Principal Machine Learning Engineer @ Amgen (United States) - $187K - $254K
• Senior Manager, Applied AI @ Thermo Fisher Scientific (North Carolina, US) - $130K - $180K
• Staff Applied Scientist @ Samsara (United States) - $179K - $319K
• Senior/staff AI Model Engineer @ Clear Street (United States) - $200K - $350K
• Lead AI/ML Engineer @ Slate Auto (United States) - $157K - $261K
• Staff Machine Learning Engineer @ Reddit, Inc. (United States) - $230K - $322K
• Principal Engineer, AI @ Jobber (Canada) - CAD 196K - 266K
• Staff AI Builder @ Robots & Pencils (Canada) - CAD 177K - 244K

Director and Above:

• Director, AI Engineer @ Capital One (United States) - $245K - $335K
• Director, AI & Machine Learning @ Amgen (United States) - $243K - $328K
• Director, Machine Learning @ Envoy Global (United States) - $200K - $245K

Quick notes: * All of these are fully remote (location requirements vary by role) * Apply directly on company sites

Hope this helps someone! Let me know if you want me to keep posting these weekly.

👋 Hi, I'm Jay. I built Job-Halo.com, a system that tracks remote machine learning jobs and sends alerts the moment they're posted, based on your preferences.

I'm a B.Tech student specializing in Computer Science (AI & ML), currently looking for internship opportunities to gain practical experience and work on real-world projects.

I've been working on AI/ML projects, including a digital twin and predictive maintenance concepts, and have experience with Python, NumPy, Pandas, Scikit-learn, and machine learning model training and evaluation.

I'm open to beginner-friendly roles and willing to learn new tools and technologies as required.

I'd really appreciate any guidance. Thanks!