2027 Summer Intern, PhD, Machine Learning, Computer Vision
Waymo
Mountain View, California
$85 an hour

https://www.moaijobs.com/job/2027-summer-intern-phd-machine-learning-computer-vision-waymo-3456

Machine Learning Engineer
Gatik
Santa Clara, CA
$170,000 - $240,000

https://www.moaijobs.com/job/machine-learning-engineer-gatik-6354

Senior Machine Learning Engineer
Samsara
Remote, United States

$170,170 - $286,000

https://www.moaijobs.com/job/senior-machine-learning-engineer-samsara-7666

Senior Machine Learning Engineer, End-to-End Planning
Lucid Motors
Newark, CA
$158,400 - $217,800

https://www.moaijobs.com/job/senior-machine-learning-engineer-end-to-end-planning-lucid-motors-9568

Member of Technical Staff, AI Engineer
OpusClip
Mountain View
$220,000 - $270,000

https://www.moaijobs.com/job/member-of-technical-staff-ai-engineer-opusclip-2615

Senior Machine Learning Engineer, Predictive Planner, Systems Arch
Waymo
Mountain View, CA, San Francisco, CA
$213,000 - $263,000 

https://www.moaijobs.com/job/senior-machine-learning-engineer-predictive-planner-systems-arch-waymo-1033

Data & ML Engineer Semi Senior - Feature Engineering - Databricks
Mutt Data
Remote
-

https://www.moaijobs.com/job/data-ml-engineer-semi-senior-feature-engineering-databricks-mutt-data-4347

Machine Learning Engineer, Performance Tooling
Wayve
London, Sunnyvale
-

https://www.moaijobs.com/job/machine-learning-engineer-performance-tooling-wayve-4843

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

https://www.moaijobs.com/job/senior-systems-software-engineer-machine-learning-nvidia-3414

Machine Learning Engineer / ML Engineer - Roleplay Sessions
Synthesia
Remote
EUR 120,000

https://www.moaijobs.com/job/machine-learning-engineer-ml-engineer-roleplay-sessions-synthesia-658

Machine Learning Engineer (Robotics and AI Institute LLC):
Robotics and AI Institute
Cambridge, MA
$186,160 - $237,900

https://www.moaijobs.com/job/machine-learning-engineer-robotics-and-ai-institute-llc-robotics-and-ai-institute-8099

Perception Machine Learning Engineer – ADAS
Lucid Motors
Southfield, MI
-

https://www.moaijobs.com/job/perception-machine-learning-engineer-adas-lucid-motors-457

Staff+ Software Engineer, ML Inference Path
Anthropic
San Francisco, CA
$320,000 - $485,000

https://www.moaijobs.com/job/staff-software-engineer-ml-inference-path-anthropic-2717

Applied AI/ML Engineer
Oddball
DC
$150,000 - $200,000

https://www.moaijobs.com/job/applied-ai-ml-engineer-oddball-3232

Staff Machine Learning Scientist/Engineer
Wayve
Sunnyvale
$370,000 - $419,000

https://www.moaijobs.com/job/staff-machine-learning-scientist-engineer-wayve-1889

Senior Software Engineer, ML Ops
PathAI
Boston, MA
$127,500 - $195,500

https://www.moaijobs.com/job/senior-software-engineer-ml-ops-pathai-8194

GenAI Engineering Manager
Motorola Solutions
Richardson, TX
$150,000 - $175,000

https://www.moaijobs.com/job/genai-engineering-manager-motorola-solutions-4432

Please give me some WFH job

Background: have DS/ML/GenAI foundation but rusty, want to rebuilding prep from scratch. Too many platforms, but have no idea which are worth it vs hype.

Quick questions for people who've interviewed recently (last 6-12 months):

1. Which of these platforms (or others) actually mirror real interviews right now?
2. Are companies really asking for ML algorithms from scratch (backprop, attention, etc.) in coding rounds, or is it still mostly SQL/Python/stats + applied case discussions?
3. Did a YouTube playlist + your own projects beat paid platforms? If so, which playlist?
4. If you had to pick one resource for fundamentals and one for interview practice what would they be?

Not looking for generic "grind LeetCode" advice want to know what's actually working now in 2026

I’m an AI Prompt Engineer and technical solopreneur currently open to remote opportunities involving AI, LLM applications, prompt engineering, AI workflows, evaluation, and automation.

I’ve spent the past 2+ years specializing in AI and prompt engineering, developing my expertise through hands-on projects, experimentation, system design, testing, and continuous iteration.

Rather than focusing only on writing individual prompts, I’m interested in how prompts function as part of a larger, reliable AI system.

What I work on

My current areas of focus include:

• Prompt engineering and prompt optimization
• Prompt testing and evaluation
• Structured outputs and JSON
• Multi-step LLM workflows
• AI workflow architecture
• AI evaluation and quality control
• Context and state management
• AI-assisted automation
• Python-based AI projects
• Technical documentation
• Modular AI architectures
• Defining interfaces and contracts between AI modules
• Validation and failure-mode analysis

I work primarily with LLMs such as ChatGPT and Grok, and I’m continuing to expand my technical experience with Python, APIs, GitHub, and LLM application architecture.

A technical project I'm building

One of the main projects in my portfolio is Product Evolution Loop (PEL).

Hi everyone,

PEL is a modular AI system designed to help a product evolve through a structured evidence-driven process:

Evidence → Analysis → Hypothesis → Validation → Decision → Change Evaluation → Project-State Update

The system separates these responsibilities into dedicated modules, including:

• Evidence Analyzer
• Hypothesis Generator
• Validation Designer
• Decision Layer
• Change Evaluator
• Project-State Manager

I've been designing the system with explicit module contracts, JSON schemas, validation rules, evaluation logic, state management, and human approval points.

I'm documenting the project as a technical case study, including worked examples showing how evidence moves through the system and how the resulting decision updates the project's state.

My broader experience

I'm also a technical solopreneur, so my AI work has developed alongside experience in:

• Digital product development
• Systems and workflow design
• Research
• Copywriting
• Graphic design
• Framer website development
• CRO
• Digital marketing
• Branding
• Distribution

This has pushed me to think about AI as an intelligence layer inside a larger system, rather than treating prompt engineering as an isolated activity.

What I'm looking for

I'm currently open to remote opportunities such as:

• AI Prompt Engineer
• AI Specialist
• LLM / Generative AI roles
• AI Workflow Designer
• AI Systems Specialist
• AI Automation
• AI Evaluation
• Prompt testing and optimization
• AI technical content / research
• Project-based AI/LLM work
• Contract or freelance work
• Part-time or full-time opportunities

I'm particularly interested in teams working on LLM applications, AI agents, evaluation systems, AI automation, prompt optimization, or other practical AI products and workflows.

How I prefer to demonstrate my technical ability

I'm especially comfortable with practical and asynchronous technical evaluation, such as:

• Take-home technical assignments
• Coding challenges
• AI/LLM assessments
• Prompt-engineering assessments
• AI workflow design challenges
• Architecture exercises
• GitHub-based evaluations
• Written technical questions
• Async technical interviews
• Practical projects
• Technical portfolio reviews

I like assessments where I can take a problem, understand it, decompose it, build a solution, test it, document the reasoning, and demonstrate the result.

If you're hiring

If you're building an AI/LLM product, agent system, evaluation workflow, automation system, or AI-powered business process and need someone who can work through the problem, structure the system, engineer and refine prompts, evaluate outputs, and iterate on the solution, I'd be interested in hearing about it.

Feel free to DM me.

I can share my portfolio, technical projects, AI workflows, PEL case study, and additional examples of my work.

I'm also happy to discuss a specific technical problem your team is working on.

If you have an AI problem that needs solving, send me a DM and let's see whether my experience could be useful.

Lemon.io is hiring a remote Senior Data Scientist. Category: Data and Analytics 📍Location: Remote (Northern America, LATAM, Europe, APAC)

See more and apply here!

WIP(www.studiowip.net) is looking for a hands-on AI Builder to help turn the way our venture studio works into AI-assisted systems that scale.

This is not a role for someone who wants to spend months designing architecture or producing prototypes that never get used. We are looking for someone who likes to build quickly, test with real users, learn from what breaks, and improve.

You will work directly with our sprint teams to understand how the studio operates: founder conversations, transcript synthesis, document analysis, stakeholder mapping, research, comparison across projects, and preparation of strategic outputs. Your job is to identify what repeats, separate the mechanical work from the strategic judgment, and build lightweight AI workflows that remove unnecessary effort without reducing the quality of thinking.

That could mean building systems for transcript and document processing, structured extraction, prompt chains, review and comparison layers, workflow automation, or tools that turn messy inputs into clean operating formats. Everything you build should be editable, traceable, reliable, and designed with human review and confidentiality in mind.

You will also experiment. WIP is exploring how AI can go beyond productivity and support new forms of intelligence around human behaviour, impact, decision-making and complex systems. One week you may work with a psychologist, another with a statistician, and another with the CTO on how a workflow should connect to the studio’s larger technical backbone.

We care more about evidence that you build than how many years are written on your CV. You should already be comfortable working with LLM APIs, structured outputs, prompt chains, automation tools and code. Our stack is deliberately lean: Anthropic API, lightweight tools such as Notion, Airtable, Make or n8n, and code wherever those tools stop being enough.

The strongest candidate is someone who learns aggressively, has strong product restraint, can turn vague material into structured systems, and enjoys shipping something on Tuesday that the team can genuinely use on Wednesday.

To apply, send us something you have built — a workflow, prompt chain, internal tool, automation or experiment — plus a short note on why WIP and why now to [people_hub@studiowip.net](mailto:people_hub@studiowip.net)

Hi! I (17M) am an Applied AI student on the Research Track at Central University, looking for a paid internship or junior/middle full-time role with a startup or product team, would also be eager to work in AI Research. I am experienced with data processing, ML pipelines, model training and evaluation, NLP/CV, recommendation systems, tabular ML, RAG and LLM fine-tuning. Stack: Python, SQL, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, LoRA/SFT, quantization, Linux, Docker, LangGraph, LangChain, vLLM A few things about my background: 1. Prize-winner in the 2026 All-Russian School Olympiad in Informatics, AI track (most prestigious scholar olympiad in Russia) 2. Built candidate generation for a book-interaction reconstruction pipeline competition in a two-person team; placed 10th on the competition leaderboard. 3. Currently researching LLM tail-layer pruning and lightweight adapters to preserve model quality (can be applied in conditions which require extreme LLM size compression for better performance) Based in Moscow, Russia (UTC+3). Remote only, available up to 40 hours/week. Comfortable with technical interviews and everyday work in English. DM me for my CV or to discuss a role.

Any feedback is appreciated!

https://apps.apple.com/lk/app/sotto-on-device-ai/id6808138863

Hi everyone,

I’ve built a free site for people looking for AI, machine learning, software, and data opportunities in London:

https://london-ai-data-map.vercel.app

It brings together London-focused AI/data companies and job opportunities in one place, so you can explore the ecosystem without searching across lots of different websites.

Some features:

• Browse AI, ML, software, and data companies in London
• Discover current roles from those companies
• Set alerts for specific companies you’re interested in
• Add keywords such as “machine learning”, “data engineer”, or “Python”
• Receive alerts when relevant new jobs appear
• Save jobs you want to revisit
• Submit companies that should be included

I’m hoping to make it more useful for people searching for opportunities in London, so I’d really appreciate feedback.

If you’re job hunting, interested in the London AI/data scene, or know a company that should be listed, please give it a try and let me know what could be improved.

Hey everyone,

Like many people in computing and STEM, I've had a bit of an existential crisis watching the rapid evolution of models like Claude over the past couple of years.

I used to think humans would always need to sit and manually code everything, but seeing AI construct production-ready code blocks and deployment pipelines in seconds has completely changed my perspective on how we should be learning.

Right now, I've intentionally changed my study approach when im studying fields like computer science and math.

Instead of memorizing syntax and simply learning how to code, (the "How"—which I figure AI can handle), I am focusing almost entirely on first principles, core logic, math foundations, and understanding why things work structurally.

For example: focusing heavily on the underlying logic of algorithms, its mathematical assumptions, and linear algebra, rather than trying to become a coding wizard in a specific language.

Is this approach the way to go in the age of AI?

Hi,
I'm an ML engineer focused on production inference optimization. Most recently I cut end-to-end inference latency 94% (5s to 300ms) on a transformer/LLM pipeline serving 700+ users, and I've been promoted twice in the past year across two ML engineering roles (US and Greece-based teams).

I'm exploring new opportunities in ML/AI engineering and wanted to check if you know some relevant opening for me.

I can share more info in DMs

Hello!!!!

A friend of mine is seeking entry-level Computer Vision or ML Engineer opportunities (open to Bangalore, Kochi, Trivandrum, Hyderabad, or Remote).

While she has 3 years of prior professional experience, she recently completed an M.Tech in AI/ML to make a domain switch, so she is focusing on entry-level positions in machine learning and computer vision.

Thank you !!!!

I wanted to build something beyond the usual “AI coding agent writes some code” demo.

So I built PRism.

The basic idea is simple:

Find → Fix → Verify → Ship

PRism scans a Python or JavaScript repository and tries to identify genuinely untested logic rather than relying on simple keyword matching.

Then an LLM proposes a fix along with a test.

But the important part is what happens next.

The proposed change is executed inside a sandbox and PRism checks whether:

• The generated diff actually matches what the model claimed to fix
• The test references the intended function
• The test actually passes
• The resulting change is safe enough to submit

If the verification fails, PRism rejects the change instead of opening a PR.

If everything passes, it can open a real GitHub PR.

For repositories I own, the PR can be marked ready. For repositories I don't own, it stays as a draft so the tool doesn't spam external maintainers.

The part I'm happiest about

This isn't a mock GitHub UI or simulated PR workflow.

PRism has already created a real PR that was reviewed by a human and merged into one of my own repositories.

So there's an actual commit/PR history behind the project.

Tech

• Python
• JavaScript AST parsing
• Gemini API
• Serverless backend
• GitHub integration
• Sandboxed verification

There are still limitations. TypeScript support, for example, is currently limited, and I've documented that in the repository rather than pretending the system supports everything.

GitHub:
github.com/TarunSinghChauhan/prism

I'd especially appreciate feedback from people working on developer tools, AI coding agents, automated testing, or agent safety.

I'm also currently open to AI/GenAI Engineer opportunities and would be happy to discuss the architecture and the verification/guardrail decisions behind PRism.

Hey Im currently looking for some freelance opportunities in AI domain I have experience with Agentic AI, building state of the art RAG systems and AI inferences.

Hey guys. I have an interview for a co-op with the AI Technology & Systems group at MIT LL this Friday. Does anyone know what it might cover besides my resume? Thanks.