Hiring: Remote | Contract | $80–$140/hr

micro1 (https://www.micro1.ai) is a data lab that helps AI labs and enterprises train foundational models and agents. This is remote expert consulting for AI training, not a full-time eng seat at a product company.

What you’d do: apply ML judgment on training and eval work — review model outputs, score quality, give structured feedback, and help improve how systems reason. Project-based contractor. Strong ML background helps. No prior “AI trainer” title required.

Apply (direct): https://jobs.micro1.ai/post/3751d160-6ea1-45e9-8c40-7af439059844?referralCode=dbc0ccb6-7b9d-4905-abd1-3e7d0072c065

Please apply via the link (don’t DM “interested”). micro1 runs screening.

Disclosure: I’m not micro1 staff or a recruiter — this is my personal micro1 referral link and I may get a referral bonus if you’re placed.

Hey everyone,

I graduated in Computer Engineering this year and I'm looking to get into machine learning engineering.

I've been spending time building ML projects and learning by implementing things hands-on. One of my recent projects is a credit risk and loan approval engine built using LendingClub data, with around 1.35 million loan records. I've worked with LightGBM, SHAP, and FastAPI for the project. I also have experience with deep learning, a CNN-based project, and research in accessibility.

I've attached my resume and would appreciate some honest feedback.

• Does my profile look competitive for entry-level ML engineering roles?
• Are my projects relevant enough for the kinds of roles I'm targeting?
• What skills or experience are missing from my resume?
• If you were hiring an ML engineer, would you shortlist this profile? Why or why not?

Feel free to be blunt. I'd appreciate specific feedback on what I should improve.

Thanks!

I'm Ram, a 2026 CS grad in India, looking for AI/ML engineer or SDE-1 roles, remote or relocation.

The project I'm proudest of is ARGUS, a multi-agent AI platform that audits smart contracts: agents split up the reading, hunting and checking, and a final pass filters out false alarms. I also built Anchor-Sentinel, a Rust static analyzer for Anchor with 20+ detectors, and I've done 7 private security audits, one with a Critical fake-oracle bug in a Solana lending protocol.

Stack: Python, Rust, Solidity, plus LLM tooling around agents and evaluation. Merged a PR into DeFiLlama and I'm a Chainlink Community Advocate.

Portfolio: ramprasadgoud.dev GitHub: github.com/Ramprasad4121 X: x.com/0xramprasad Call: calendly.com/ramprasadedigi/30min

DM me here if there's a fit.

We are a small technical team focused on GPU kernels and production inference systems. We help AI startups, inference API teams, GPU providers, and companies running self-hosted models make inference faster, more reliable, and less expensive.

If your team is responding to slow generation or high GPU bills by adding more hardware, we can first determine whether the real constraint is kernels, memory movement, quantization, KV-cache layout, batching, scheduling, model loading, or the serving architecture.

We can help with:

• CUDA and Triton kernel development, fusion, profiling, and benchmarking
• PyTorch model-path optimization and numerical validation
• vLLM, SGLang, TensorRT-LLM, and custom serving systems
• quantization, VRAM reduction, KV-cache layout, continuous batching, and CUDA Graphs
• time to first token, inter-token latency, throughput, and tail-latency analysis
• scale-to-zero, cold-start behavior, readiness, cancellation, streaming, and failure recovery
• GPU utilization, cost-per-request analysis, and capacity planning
• reproducible before/after benchmarks with correctness gates and documented limitations

A typical engagement starts with a focused inference audit:

1. Define the model, framework, GPU, traffic shape, latency or throughput target, and cost constraint.
2. Profile the current path and identify the dominant bottlenecks.
3. Agree on the smallest changes worth implementing.
4. Deliver code, before/after measurements, correctness checks, and remaining risks.
5. Help integrate and validate the optimized path under realistic load.

Good fits include a slow or expensive inference endpoint, VRAM pressure preventing the desired batch size or context length, unstable serving under load, poor GPU utilization, costly cold starts, or a custom kernel/model path that needs profiling and validation.

For an initial conversation, send a Reddit chat or private message with:

• model and framework
• GPU type and VRAM
• current latency, throughput, utilization, or cost problem
• target workload and success metric
• deployment environment
• timeline and approximate budget range

We will tell you directly whether the workload appears optimizable and what evidence would be needed before making a performance or savings claim.

I am a Power bi developer. I was trying to switch my technology. I am really confused between Software development or machine learning.

I really wanted to become ai engineer. What should I do

Hello everyone,

I'm helping recruit researchers for a small team working at the intersection of neuroscience and AI. If you're finishing your PhD or in progress and want paid part-time work that actually uses your research skills, this might be a good fit.

The work involves turning real biological research problems into rigorous tests of AI capabilities: finding interesting scientific questions, analyzing experimental datasets, writing reproducible computational tasks, and investigating where current models fail.

Looking for people with:

A PhD (completed or in progress) in neuroscience, computational biology, bioengineering, or any related field.

Experience analyzing biological data.

Strong computational skills and regular use of AI coding tools (Codex, Claude Code, etc.).

$50–90/hr | 10–20 hrs/week | 2 months initially | Remote / hybrid

Part-time W-2 position, paid hourly (not per task), with a potential extension and a paid take-home during hiring.

If you're interested, DM me!

Thanks!

Machine Learning Engineer, Implicit Signals
OpenAI
Remote, San Francisco, CA
$381,000 - $510,000

https://www.moaijobs.com/job/machine-learning-engineer-implicit-signals-openai-3740

2027 Summer Intern, MS/PhD, Machine Learning, Planning/Prediction
Waymo
Mountain View, CA
$70 an hour

https://www.moaijobs.com/job/2027-summer-intern-ms-phd-machine-learning-planning-prediction-waymo-9903

Machine Learning Engineer, Applied AI Co-Op Intern, Winter 2027
Brain Co.
Remote, San Francisco, CA
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https://www.moaijobs.com/job/machine-learning-engineer-applied-ai-co-op-intern-winter-2027-brain-co-8909

Machine Learning Intern
Epic Games
Montreal, Quebec, Canada
-

https://www.moaijobs.com/job/machine-learning-intern-epic-games-7677

2027 Summer Intern, PhD, Machine Learning, Simulation Realism
Waymo
London, England, United Kingdom
£80,000

https://www.moaijobs.com/job/2027-summer-intern-phd-machine-learning-simulation-realism-waymo-2115

Machine Learning Engineer - Gen SWE
Waymo
Mountain View, CA
$213,000 - $263,000

https://www.moaijobs.com/job/machine-learning-engineer-gen-swe-waymo-3097

Machine Learning Engineer - 3D Sensor Simulation
Zoox
Foster City, CA, Seattle, WA
$189,000 - $283,000 

https://www.moaijobs.com/job/machine-learning-engineer-3d-sensor-simulation-zoox-4256

Senior Machine Learning Engineer, Perception - Autonomous Driving
NVIDIA
US, CA
$184,000 - $287,500

https://www.moaijobs.com/job/senior-machine-learning-engineer-perception-autonomous-driving-nvidia-5194

Machine Learning Engineer, Growth
OpenAI
Remote, San Francisco, CA
$381,000 - $423,000

https://www.moaijobs.com/job/machine-learning-engineer-growth-openai-7470

Senior Machine Learning Engineer (Large Systems)
Graphcore
Cambridge, United Kingdom
-

https://www.moaijobs.com/job/senior-machine-learning-engineer-large-systems-graphcore-8712

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https://www.moaijobs.com/job/senior-machine-learning-engineer-databricks-2-mutt-data-6873

Machine Learning Engineer
NVIDIA
US, CA
$152,000 - $241,500

https://www.moaijobs.com/job/machine-learning-engineer-nvidia-5303

Machine Learning Engineer
Wix
Vancouver, CA
CA$165,000-CA$200,000

https://www.moaijobs.com/job/machine-learning-engineer-wix-7112

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Blacksky
Remote, United States
$185,000 - $215,000

https://www.moaijobs.com/job/principal-ai-engineer-machine-learning-operations-blacksky-9534

Senior Machine Learning Engineer, Vehicle Perception
Woven by Toyota
Palo Alto, CA
$140,000 - $230,000

https://www.moaijobs.com/job/senior-machine-learning-engineer-vehicle-perception-woven-by-toyota-5879

Senior, ML Engineer - Tracking
Torc
Remote, United States
$177,300 - $212,800

https://www.moaijobs.com/job/senior-ml-engineer-tracking-torc-6670

Member of Technical Staff (Machine Learning Engineer, Search & Agents)
Perplexity
Remote, Belgrade
-

https://www.moaijobs.com/job/member-of-technical-staff-machine-learning-engineer-search-agents-perplexity-303

Hi everyone!

I'm a 2026 B.Tech graduate in Computer Science and Technology, currently looking for entry-level Software Engineer, Python Developer, or AI/ML Engineer opportunities.

I have hands-on experience working as an AI/ML Engineer at an US startup for 1 year, where I developed AI-powered backend systems, semantic tool-matching pipelines, and recommendation engines.

I'm open to opportunities across India and remote positions. I'm particularly interested in teams where I can contribute to real-world products, strengthen my engineering skills, and continue learning.

If your team is hiring freshers, or if you know of any relevant openings or referrals, I'd genuinely appreciate your help.

Resume: Available upon request.

Thanks for taking the time to read this. Any leads, advice, or referrals would mean a lot!

Any suggest most welcome...
I have clear basics and full knowledge of current ai models of all...
I want a job that's why i want to do a course

How am i supposed to land ai/ml or data science internships. This is my resume, what changes should i do, what else should i learn?? Any advice is helpful!

Hey everyone, so I'm a final year Computer Science undergrad specializing in AI and ML, and I've spent the last couple years just building things nonstop, partly for fun, partly because I genuinely like solving problems with code. Figured it's time I put that to use for actual businesses instead of just my own random projects sitting in a GitHub repo somewhere.

Quick context: I interned as an AI Engineer at a travel tech company where I built real production features like live train tracking, search systems, document parsers that pull data out of messy invoices, and REST APIs end to end. Outside of that I've built a few things on my own too, an AI healthcare tool, a stock prediction model, and a multilingual AI dubbing pipeline, so I've got a decent range across web dev and AI/ML.

I've also worked in projects where i had to fine tune transformers and projects involving deep learning, neural networks and so on.

If you need any of these, I'm your guy:

• A website or web app (React, Flask, Spring Boot, whatever fits)

• An AI/ML feature added to something you already have• Automation, data pipelines, or a document parser to cut down manual work

• A chatbot or some GenAI powered tool.

Since I'm doing this alongside college and not running it as a full business, I can charge a lot less than an agency or full time freelancer would. I'm easy to talk to, respond quick, and I'll be straight with you about what's doable and what isn't, no overpromising.

For anyone outside India, I take payments through PayPal. Happy to do a quick free consult first so you know what you're getting before we commit to anything.Drop a comment or DM me if this sounds useful, let's talk about what you need.

[HIRING][Ann Arbor, Michigan, USA, Onsite / Remote]

🏢 SynergisticIT, based in Ann Arbor, Michigan 🇺🇸 is looking for a Junior Machine Learning Engineer - Remote

⚙️ Tech used: AI, Java, Machine Learning, Python

💰 $95,000 - 154,000 / year

📝 More details and option to apply: https://devitjobs.com/jobs/SynergisticIT-Junior-Machine-Learning-Engineer---Remote/rdg

So I just finished my B.Tech in AI/ML. Got an offer in campus placements, 3.5 LPA with a 2-year bond, and I said no. Didn’t feel right tying myself down for that.

Now I’m just at home, trying to figure out my next move. I don’t want to waste this time, so:

• Which domain is actually worth upskilling in right now? GenAI, MLOps, data engineering, something else?
• Any courses you’d recommend (free or paid)?
• What kind of projects help freshers get noticed?

Hey everyone,

I’m deeply passionate about AI automations and looking to join an early-stage startup where I can bring immediate value, execute on big visions, and prove what I can do.

My focus is on designing and implementing intelligent automation workflows that cut manual overhead and drive efficiency. If you're an early-stage founder building in the AI/automation space and need someone resourceful who can move fast and wear multiple hats, I'd love to connect.

Drop a comment or shoot me a DM with what you're building!

Hi everyone,
I hope this is the right place to ask, but I'm not sure where else to post this.

After spending some time working in NLP, I've got the opportunity to choose my external PhD supervisor. I'm currently deciding between Professor X, who I'd strongly prefer, and Professor Y, who would be my less preferred option.
A bit of context: regardless of whom I choose, I'll also have an internal supervisor who will be my main point of contact for research and day-to-day work. The external supervisor's role will be relatively marginal.
I strongly prefer X because their research aligns much more closely with mine, and I also really like them on a personal level. The opposite is true for Y, whom I don't particularly like personally.

The catch is that X is an adjunct professor in the Faculty of Communication and only an associate professor in Informatics. As a result, my PhD would be awarded in Communication rather than Computer Science/Informatics. This wouldn't be an issue with Y.

My concern is whether having a PhD in Communication could be a disadvantage when applying for future positions in AI/NLP research or industry. Looking at my CV as a whole, it would be clear that I work at an AI research institute and that my research is firmly rooted in NLP. This is also a fairly common arrangement in my institution for practical reasons related to PhD supervision.

Still, I'm worried that the degree title itself might limit my future opportunities.
Would you consider this a meaningful disadvantage, or would the research I've done, my publications, and my overall academic background make the title per se of little meaning?

I’ve been doing some project-based AI evaluation work and wanted to share it with people who have a serious finance or consulting background. A lot of the work is about spotting where an AI answer gets a model, assumption or business judgment wrong, not just labeling data.

I’m referring candidates to Halluminate, where I’ve worked on these projects. Investment banking, PE, FP&A, valuation, accounting and management consulting experience can all be relevant. It’s remote contractor work, and the team decides who qualifies and what projects are available.

If you’re interested, DM me a little about your background and a resume if you’re comfortable sharing one. I’ll send the application details. I may receive a referral bonus if you’re accepted.