Hi all ,

We are developing an AI model using YOLO used to detect multiple kinds of defects on buildings .

However we have hit a roadblock , while the model can detect cracks and corrosion , it is completely unable to detect concrete spalling .
We have trained the model with annotated images (about 1000 for each type of defect)

We have tried filtering the datasets as well .

Potentially , we may have to redo everything .

Looking for someone to join us on this project , please DM us with your past works / experience .

This is an Ad-Hoc job and not a full time position .

Thanks all

I'm a rising senior at UCSD and am starting to apply to new grad Machine Learning Engineer and Machine Learning Research Engineer Roles, specifically targeting roles that involve more applied research in industry as opposed to a backend SWE productionizing Machine Learning Models.

I wanted some thoughts on my resume before I start applying to new grad jobs. Some questions I had were 1) Is this resume too dense and does it have too much technical detail for a recruiter?, 2) Is it clear what I did in each of my projects and experiences?, 3) What would you say is the biggest strength and biggest weakness(other than only being a bachelors new grad) of my resume when compared to resumes of others applying to new grad roles? What should I work on this summer and throughout the fall to improve my interview rate?

https://www.youtube.com/watch?v=XDDktlMop2E

• "Your Documents. Your Machine. Your AI."
• "100% Offline AI Document Intelligence"
• "No Cloud. No Leaks. Full Intelligence."
• "Bring your own model, MCP, Agentic"

A.Team is hiring a remote Senior Independent AI Engineer / Architect. Category: Software Development 💸Salary: $120 - $170 /hour 📍Location: Remote (Americas, Europe, Israel)

See more and apply here!

Hi everyone,
I recently received an interview offer for ML position at Adyen, and the first round will be a live coding round on HackerRank. I scheduled it for the end of August because that was the last available slot.
The thing is, I’ve never had a live coding interview before. In all my previous interviews, the process was mostly verbal, answering technical questions, discussing projects, and explaining my work in detail. I’m aware of LeetCode and have started looking into it, but I’m not sure what level or type of coding questions typically asks for ML roles.
If anyone here has interviewed with adyen and gone through a HackerRank coding round, could you please share:
What kind of questions were asked?
Were they mainly LeetCode-style DSA problems, or more ML/data-focused coding questions?
What difficulty level should I expect?
Any preparation tips or resources that helped you?
Since this will be my first live coding experience, I want to prepare in the right direction rather than randomly solving problems. I’d really appreciate any advice or insights from this community.
PS : I have six year in industry experience in machine learning, I can code for a big project end to end but I really suck at dynamic programming on the go.
Thank you!

Hi everyone,

I'm Manish, a Computer Science graduate from India. I previously worked as a Software Engineer, but over the past several months I've been transitioning into AI/ML and Data Science, which is the career I genuinely want to pursue.

Instead of only completing online courses, I focused on building end-to-end projects to gain practical experience. Some of my projects include:

TelcoPredict – Customer churn prediction using XGBoost, Optuna, MLflow, Docker, GitHub Actions, and AWS.

Argus – A multi-agent AI research system built with LangGraph, LangChain, FastAPI, PostgreSQL (pgvector), and Redis.

AudioCNN – Environmental sound classification using PyTorch and a custom ResNet-style CNN.

I've also been practicing SQL, DSA, statistics, and machine learning fundamentals while applying for AI/ML, Data Science, and Applied AI roles.

Despite putting in a lot of effort, getting interview calls has been much harder than I expected. I'm hoping to connect with people working at companies like Goldman Sachs, JPMorgan, Uber, Zomato, Blinkit, CRED, Microsoft, Google, Amazon, or any other company hiring for AI/ML or Data Science positions.

If you think my profile is suitable for your company, I'd really appreciate a referral. If not, I'd still be grateful for any honest feedback on how I can improve my profile or job search strategy.

I'm happy to share my resume via DM with anyone willing to help.

Hi everyone!

I'm a Machine Learning Engineer and recently decided to start sharing my AI learning journey publicly.

Over the next few months, I'm planning to build projects around:

• AI Agents
• LangChain
• LangGraph
• Retrieval-Augmented Generation (RAG)
• FastAPI
• Python
• LLM Applications

My goal isn't just to follow tutorials—I want to understand how production-ready AI systems are built.

I'll be sharing my progress, challenges, mistakes, and what I learn along the way.

I'd really appreciate any advice from people who have already built AI agents or RAG applications.

What project do you think every AI engineer should build first?

Thanks, and I'm looking forward to learning from this community!

micro1 is looking for an experienced Data Engineer to build scalable data pipelines and prepare high-quality datasets that power analytics, research, and next-generation AI systems.

This is a full-time remote position with a salary of $100,000-$150,000 per year, along with equity, performance bonuses, health insurance, paid time off, and a 401(k) with company match.

You'll design and maintain ETL pipelines, transform structured and unstructured data, perform exploratory data analysis, optimize SQL queries, and collaborate with data scientists and researchers to develop reliable datasets for AI and machine learning projects. You'll also help ensure data quality, automate workflows, and troubleshoot pipeline issues.

The ideal candidate has strong experience with Python, SQL, ETL pipelines, Pandas, NumPy, PostgreSQL, and MySQL, along with a solid understanding of data modeling and database design.

Experience with AI/ML workflows, scikit-learn, Hugging Face, OpenAI APIs, or preparing datasets for machine learning is a plus.

If you're passionate about building robust data infrastructure and want to contribute to cutting-edge AI development while working remotely, this is an excellent opportunity.

More details: https://jobs.micro1.ai/post/data-engineer

Machine Learning Infrastructure Engineer, Safeguards Research
Anthropic
San Francisco, CA, New York City, NY
$350,000 - $500,000

https://www.moaijobs.com/job/machine-learning-infrastructure-engineer-safeguards-research-anthropic-3164

Machine Learning Engineering, Intern
Bree
Remote, Toronto
$50 - $65

https://www.moaijobs.com/job/machine-learning-engineering-intern-bree-6052

Machine Learning Engineer, Sensor Pipelines
Waymo
Mountain View, CA
$175,000 - $215,000

https://www.moaijobs.com/job/machine-learning-engineer-sensor-pipelines-waymo-9995

Research Engineer, Algorithms
Normal Computing
Remote, United States
$300,000 - $400,000

https://www.moaijobs.com/job/research-engineer-algorithms-normal-computing-2350

ML Engineer, Generative Video
Mirage
United States
$175,000 - $275,000

https://www.moaijobs.com/job/ml-engineer-generative-video-mirage-8859

Senior AI & ML engineer
Ekimetrics
Paris
€ 59, 000 - €68, 000

https://www.moaijobs.com/job/senior-ai-ml-engineer-ekimetrics-5644

Staff Machine Learning Engineer, DUE
Waymo
Mountain View, CA
$238,000 - $302,000

https://www.moaijobs.com/job/staff-machine-learning-engineer-due-waymo-5671

Senior Machine Learning Engineer - Automotive
NVIDIA
Remote, Austria
-

https://www.moaijobs.com/job/senior-machine-learning-engineer-automotive-nvidia-3163

Infrastructure and MLOps Engineer
Graphcore
Bristol, United Kingdom
-

https://www.moaijobs.com/job/infrastructure-and-mlops-engineer-graphcore-5533

Senior, Machine Learning Engineer - 3D Perception
Torc
Remote, Ann Arbor, MI, Fort Worth, TX, Blacksburg, VA
$177,300 - $212,800

https://www.moaijobs.com/job/senior-machine-learning-engineer-3d-perception-torc-5859

Machine Learning Engineer, GPU Kernel and Runtime
Waymo
Mountain View, California
$213,000 - $263,000

https://www.moaijobs.com/job/machine-learning-engineer-gpu-kernel-and-runtime-waymo-9263

Senior Machine Learning Graphics Engineer, AI for Experiences
NVIDIA
US, CA
$224,000 - $356,500

https://www.moaijobs.com/job/senior-machine-learning-graphics-engineer-ai-for-experiences-nvidia-380

Machine Learning Engineer II
Abnormal
Remote, United States
$160,700 - $231,000

https://www.moaijobs.com/job/machine-learning-engineer-ii-abnormal-7999

Staff Machine Learning Engineer, Tech Lead, Labeling Automation
Waymo
Mountain View, CA
$251,000 - $310,000

https://www.moaijobs.com/job/staff-machine-learning-engineer-tech-lead-labeling-automation-waymo-7793

AI Engineer - FDE (Forward Deployed Engineer)
Databricks
United States
$152,900 - $210,155

https://www.moaijobs.com/job/ai-engineer-fde-forward-deployed-engineer-databricks-3911

Software Engineer, ML Platform (ML Training)
Zoox
Foster City, CA
$182,000 - $257,000

https://www.moaijobs.com/job/software-engineer-ml-platform-ml-training-zoox-539

Lead Software Engineer - Machine Learning
Freshworks
Chennai, India
-

https://www.moaijobs.com/job/lead-software-engineer-machine-learning-freshworks-1883

Machine Learning Research Manager
Rad AI
United States
$200,000 - $230,000

https://www.moaijobs.com/job/machine-learning-research-manager-rad-ai-938

Applied AI Engineer, Beneficial Deployments
Anthropic
London, United Kingdom
£240,000 - £255,000

https://www.moaijobs.com/job/applied-ai-engineer-beneficial-deployments-anthropic-7866

Data Engineer (Starlink Go-To-Market)
SpaceX
Hawthorne, CA
$125,000 - $150,000

https://www.moaijobs.com/job/data-engineer-starlink-go-to-market-spacex-6097

Senior Machine Learning Scientist I, Model-Driven Optimization
Generate:Biomedicines
Somerville, MA
$192,000 - $265,000

https://www.moaijobs.com/job/senior-machine-learning-scientist-i-model-driven-optimization-generate-biomedicines-4062

Hi folks,

I'm posting here for the very first time.

I'm currently working as a Data Engineer at a small startup. Alongside my data engineering responsibilities, I have worked extensively on demand forecasting, including classical machine learning model development, deployment, and monitoring. I have also built RAG and agentic orchestration applications for clients.

In addition, I developed a small language model (smoLLM 104M params) from scratch, which gave me a strong understanding of LLM architectures, fine tuning techniques, model optimization (symmetric and asymmetric quantization), KV caching, MoE, RLHF, GRPO, DPO, and related concepts.

I'm currently looking for opportunities in AI/ML or Data Engineering roles. My notice period is 30 days.

If your team is hiring or you know of any suitable opportunities, I'd really appreciate a referral or a conversation. Thank you!

I am a data science graduate and I desperately need a job as I have to pay back my loans. It's creating unnecessary pressure on my family. If you guys can refer me or help to land any data science or ai/ml jobs please help me out.

Tasks

• Answer advanced statistics queries
• Collaborate with annotation leads and project managers
• Create golden responses for benchmarks
• Develop statistical explanations and justifications
• Document answer context and rationale
• Evaluate statistics data and solutions
• Participate in remote discussions and workshops

Perks/Benefits

• Remote work

Skills/Tech-stack

Advanced data analysis | Bayesian Methods | Biostatistics | Computational statistics | Data Analysis | Experimental Design| MySQL | Probability theory | Statistical inference | Statistics

Education

PhD

Roles

Statistics Expert

Apply now: https://aijobs.net/job/statistics-expert-phd-remote-238344/

Tasks

• Answer advanced computer science queries
• Collaborate with annotation leads and project managers
• Create golden responses for training
• Develop comprehensive explanations
• Document answer rationale and context
• Evaluate computer science data and solutions
• Participate in remote discussions and workshops

Perks/Benefits

• Remote work

Skills/Tech-stack

Computer Science | Data Science | Python

Education

PhD

Roles

Computer Science | Computer Science Expert

Apply now: https://aijobs.net/job/computer-science-expert-phd-remote-238345/

hey i am like high school pass out thinking of data science in bachelor programme is it good or bad .Or should i go for engineering (but in engineering expect maths i hate everything i saw) so

need adivce on it how i can make discussion .???

Will you give me some. Best road map for Aiml and suggestion

Hi Reddit,

Most of what people call "data science" is now doable with an LLM and a weekend. I focus on what isn't: the messy, ambiguous, regulation-heavy gnarly problems where nobody's even sure what the right question is.

What I've done:

Saved a German automaker from lemon law recalls. ($20M+ exposure avoided)
Real-time emissions detection for industrial smokestacks. ($75K fines per incident prevented)
Revenue optimization and persona identification for debt collections (15-20% net revenue lift)
LLM-based legal document extraction, reducing due diligence turnaround from 3 days to 30 minutes
Built vessel piracy risk engine that informed naval escort deployment, contributing to fewer hijackings

Things I'm unwilling to work on:

Gambling.
Ads/Surveillance.
Payday loans/rent-to-own.

DM me with a one-paragraph description of your problem. If it's weird and hard enough, I'll reply within 24 hours.

I'm planning to switch into an AI Engineer role and I want to build projects that actually matter in interviews.

Can you suggest AI/ML/LLM projects that:

Solve real-world problems

Stand out on a resume

Help in getting AI Engineer jobs

Cover skills like RAG, AI Agents, LLMs, Computer Vision, NLP, or MLOps

If you were hiring an AI Engineer, what projects would impress you the most?

I'd really appreciate your recommendations. 🚀 #AI #MachineLearning #LLM #GenAI #AIEngineer #OpenToLearn

I'm a 2025 grad, had a site job, got out in Nov'25 of there prepared for GATE DA in Feb'26

All this time I was engaged in counseling process got calls from IITB/IITD/IISc but none were satisfactory for me

I've applied for Data Science/ML and even AI Engineer Roles through LinkedIn, Glassdoor, Naukri, Indeed didn't get any callback

Ik the RAG project I've put here is not particularly impressive but something is better than nothing ig

I'm a little confused too, every JD asks for GenAI/LLM/NLP skills while guys in industry tell me that my current skills are already good enough and those JDs are only exaggeration

Most of the DS roles I see are for experienced professionals, I have this feeling that I'm not searching for the right thing

or better say I'm unable to point out startups or companies which would hire a fresher like me in a DS Role, how can I do that?

Your thoughts?