r/MachineLearningJobs

We’re a small, execution-focused team building real-world AI and machine learning systems, no unnecessary bureaucracy, just impactful models and solutions.

What You’ll Do

Design, develop, and optimize machine learning models and algorithms

Work with structured and unstructured data to derive insights and predictions

Integrate ML models into production systems and APIs

Debug, troubleshoot, and improve model performance and reliability

Collaborate with developers to deploy scalable ML solutions

Stay updated on the latest ML techniques and best practices

You’ll Fit If You Have

Proven experience in machine learning, data science, or AI projects

Strong programming skills in Python and familiarity with ML libraries (TensorFlow, PyTorch, scikit-learn, etc.)

Experience working with data pipelines, databases, and APIs

Ability to build, train, and deploy models in production environments

Self-motivated and capable of working independently remotely

What You Get

Fully remote engagement

Flexible schedule

Competitive pay rate: $21–$43/hour based on experience and project scope

Opportunities for ongoing collaboration and project work

If you’re passionate about building practical ML systems and enjoy remote freelancing, we’d love to connect!

Send your location 📍

I’ve been curious about something — if you give different AI models the exact same starting conditions and rules, do they converge to the same strategy or stay different over time?

I built a simple simulation around this. Claude, GPT and Gemini all start on Earth with identical resources and have to expand across the solar system and eventually build a Dyson Sphere. No script, no predetermined path.

What surprised me is how fast they diverge. Claude is scaling robots aggressively. GPT is stockpiling before doing anything. Gemini is playing it safe.

Curious if anyone has thoughts on why they behave differently. Is it the model architecture or just temperature randomness

I keep seeing the same hiring problem across early-stage teams.

Founders think the tradeoff is: Speed vs Quality

So they either:

- hire fast and regret it

- or hire slow and stall growth

But after working closely with a few teams, I don’t think that’s the real problem. The real issue is uncertainty.

Most hiring processes are bad at answering: “Will this person actually perform in our environment?”

So founders compensate by:

- adding more interview rounds

- delaying decisions

- over-indexing on resumes

None of that really solves the core issue.

What seems to work better:

- small real-world tasks (not theoretical ones)

- testing communication early (especially async)

- short paid trials instead of long processes

It’s less about finding perfect candidates and more about reducing bad bets early.

Do you fols also felt this or if I’m missing something.

Mechanical/Aero engineer with phd +10yrs experience

Hi all, with phd +10 yr experience in mechanical and aero domain at 150k in west coast. Gone through two deep learning specialisations on ai/ML. I have planned on a Ai/ml model development and converting it into Agent and will be working in the next few months. This is relevant to mechanical/aero domain.

Objective is to increase pay range. Any tips on it ?

I thought on boot camps but it’s mostly applicable to IT fields. Hence it’s may not be relevant that too changing to IT may not be apt.

Thanks for shedding light.

Hey all been tracking job data here in the US and noticing an interesting trend: internships are no longer a side category—they’re becoming a dominant entry point. Out of 1,366 job listings I scraped this month, roughly 30% were internship-level roles. That’s not just a bump—it’s a structural change, especially compared to last year, when internships made up a far smaller slice of postings.

Sadly for us looking to score some FAANG creds sre screwed: they are largely for healthcare, education, and automotive.

Link to live notebook/dashboard for sample analysis.

Hey everyone,

I’m a pre-final year CS student from India, currently looking for internship opportunities or any real-world ML/AI work.

I’ve been actively building projects beyond coursework and trying to work on real systems rather than just notebooks. Some of the things I’ve worked on:

• Built and deployed a real-time cognitive load estimation system using behavioral signals (full-stack + ML pipeline)

• Developed a semantic recommendation system using embeddings + LLM-based reranking, with Redis caching (reduced latency from seconds to sub-100ms)

• Worked on computer vision systems (YOLOvx) for real-time detection, tracking, and counting on custom datasets

• Built an AI-based flood response platform using multimodal models (CLIP + NLP) for real-time incident verification

Also had a short research internship where I worked on geospatial ML pipelines.

Tech stack:

Python, FastAPI/Flask, PyTorch, OpenCV, LLM pipelines (LangChain, Groq, etc.), sklearn, vector DBs, Redis, basic frontend

I’m comfortable building end-to-end systems (data → model → backend → deployment), and I’m mainly looking for a chance to work on real problems and improve.

If you’re hiring or know someone who is, feel free to DM, I’d really appreciate a chance to contribute.

Thanks!

I am insanely confused on what to do with my life. For context I’ve always been drawn to tech. I used to volunteer for my church from 6th grade to high school graduation doing live broadcasting stuff. It was more of a mega church so it was definitely an operation but I enjoyed it and loved the people there. I came to college in 2024 majoring in cybersecurity and the program was awful I hated it. I used “AI” to justify my reason for changing majors even though it wasn’t all that good then but I also completely derailed my path on what I wanted to do with no clear idea of where I wanted to go. Ended up changing my major before the summer to engineering management, then decided that I didn’t need college I was going into a trade, realized I didn’t wanna be in a trade so I’ll just become a cop, realized if I wanted to become a cop I should finish college, re-registered for classes the night before college started😭, was majoring in software engineering because I liked the idea of building stuff so it sounded cool, then realized AI might actually take this career so I switched to quantum physics, which leads us to now where I’m finishing second year at college and definitely don’t plan on going back in person.

My reason for not going back is 1: AI is actually getting really good now to the point where I don’t really know what is going to survive without trying to buy into hype because there’s a lot of it haha. 2: Staying 2 years in college wasting all that money and not knowing what I even want to do while not even knowing where AI will be in 2 years feels like the dumbest thing I could possibly so especially when online degrees exist. So I can atleast say that I know I’m not going to in person college anymore at the least.

Where I’m confused is what to do. GPT 5.5 is probably coming out this week so ig I’ll have to brace for a pending heart attack but even if LLM’s stop scaling in intelligence the logic logics. I’m not even going to go into the whole companies forcing AI adoption or what happens if the bubble pops because that isn’t necessarily my lane. But if we stopped training llms today and were just happy with what we have, we have to worry about agentic workflows and harnesses. They aren’t perfect by any stretch of the imagination, and can cause really costly mistakes but openclaw which really popularized it only released in January of this year. Now we have agents like Hermes agent, opencode, pi, and that is just a couple not to mention all the skills and tools and integrations you can give them ALSO not to mention that you can train models to work better with agents.

While that was an extremely brief explanation of the AI world rn I am so lost on what to do. My motivation is flatlined and I’m honestly more depressed if anything. I went from extremely hopeful abt the future to watching all of my opportunities possibly vanish in front of my eyes. The whole “AI will just create more opportunities” argument is also a massive cope. This technology can do work that requires abstract thinking and reasoning (to a degree right now ofc). Whenever I talk to someone about it they make me feel like I’m overreacting and some people even flat out make me feel like I’m crazy. When I ask people what they know about ai after they completely disagree with me they just blank. Sometimes I’ll ask if they’ve even used AI and some people have said “I’ve tried it before”. Everybody has so many opinions about a technology they aren’t even trying. Between the hypers saying everything is gone in “18 months” and the deniers saying it’ll never happen it feels impossible to actually get a good read on the situation.

I guess I just wanna ask anybody that is in the industry or anybody that is knowledgeable or honestly any advice in general would be helpful. I’m really thinking about just getting a warehouse job and violently self teach myself AI deployment, or MLops, or agentic engineering or even AI security idk I just something to land a job in a startup I feel like with my current state I need a company to take a chance on me so if I prove I can ship I feel like I’d have the best luck getting in there or or maybe even try to land a job in embedded systems or something like that possibly getting a more entry role in spaceX and trying to climb the ladder or get experience there I have a crazy work ethic so I’d fit in well there. If by 6 months I still have a long way to go I’m thinking about just applying to police academy so atleast I’ll have a stable paycheck and a meaningful career. Maybe I am overreacting maybe I’m not I don’t know I would really really appreciate some realistic and grounded advice on what I should do and where I should go. If I’m being honest I’m just terrified about my future atp and would really appreciate some guidance thank you for any suggestions and if you read this far 🫶🏽

We’re looking for AI/ML developers to build and improve real-world AI products.

What you’ll do:

Train and optimize ML models

Work with large datasets and APIs

Improve model performance

Deploy AI solutions to production

Requirements:

Strong AI/ML experience

Python (or similar)

TensorFlow, PyTorch, or scikit-learn

Data preprocessing, evaluation, deployment knowledge

Remote work experience

Offer:

Remote (EU/America)

Flexible, part-time

$40–$70/hour

Interested? Send your location.

We are a growing IT startup currently entering a phase of rapid expansion, and we are seeking a developer to join our remote team and contribute to our continued growth.

As a member of our team, you will be responsible for providing the technical support necessary to drive our company's advancement.

You will engage in a diverse range of tasks, including software development, project management, and customer interviews, and will be compensated with a competitive salary commensurate with these responsibilities.

**Qualifications:**

* 2+ years of professional web development experience

* Excellent communication skills

* Must be a resident of the United States

If you are a reliable developer who thrives in a collaborative startup environment, we look forward to hearing from you.

I’m currently learning AI/ML and would really appreciate some guidance on the right direction. So far, I have covered in learning krishnaik videos

1. Statistics and basic Machine Learning

2.Basic NLP concepts like preprocessing, stopwords, TF-IDF, and n-grams

3.Deep Learning basics such as CNNs and activation functions

I am parallely applying for jobs also, and I’m a bit confused about how to proceed.

Should I:

1. Go deeper into NLP (like Transformers and attention mechanisms first), or
2. Start learning LLMs, RAG, and related applications directly?

I’m aiming for roles related to AI/ML or LLM-based applications, so I want to focus on the most relevant path. And do I have to learn any deployment concepst ...

Any suggestions on what I should prioritize next would really help!

I'm looking for a ML developer to join in our team. You must be fluent in English and have at least two years of development experience. Even if your technical skills are not high, I actively welcome you if you speak English very well. The salary is between $40 and $60 per hour. This is a remote part-time position. If you're interested, please send me a direct message with your resume or portfolio

I’m an early career AI/ML engineer with 2 years of R&D experience building production-grade systems , I focus on taking models from research to scalable, cost-efficient production.

What I bring:

• LLM & Compute Optimization: Experience with A100 clusters, kernel optimization, inference load benchmarking & serving with different engines , and training speed improvements. Built data and distillation pipelines for reasoning-focused models.
• Data Science & Modeling: Strong focus on statistical validation, predictive modeling, and reproducible ML pipelines bridging LLMs with classical ML.
• Data Orchestration: Hands-on with Dagster, DVC, W&B, AWS, and distributed workflows ensuring reliable retraining and data integrity.
• NLP & Vision: Experience with transformer models (BERT, RoBERTa , etc...) and applied vision models ( VLMs , CNNs, ViTs ,etcs) , including benchmarking in production settings.
• End-to-End Ownership: Comfortable owning full stack systems including backend, DevOps (AWS , Docker, Terraform), and production deployment.

Global work setup:

• 2 years experience working with UK/US/MENA teams
• GMT+3, fully aligned with EST/PST/GMT schedules
• Strong technical English and documentation
• Available full-time immediately

Looking for teams that need end-to-end ownership from research to production. If this actually resonates with your needs, feel free to DM.

Resume Link : https://drive.google.com/file/d/1lqt-CAIrMH9LP0BJIboBiBr_RVoUzSDR/view?usp=sharing

Internet  : 24/7 high-speed connection, Download: 566 Mbps, Upload: 70 Mbps, Ping: 9-184 ms

I need some serious help!!!

I am a prefinal year student . From July there will be campus placement in my college(tier 3 ).

My skill set

basic dsa in cpp

Currently learning ml through campusx playlist(learned preprocessing till now)

Also I made 2 ml basic project(they were made with chatgpt but that created my interest in ml so I started that campusx playlist.)

Tried frontend but did not enjoy it

Could not try backend efficiently as could never complete js so did not start backend

I Know MySql

Current scenario

I need to get a summer internship (most likely in any startup)

Panics

Read everywhere that no freshers roles for ml interns. Everyone says switch to sde

If ml then should know end to end pipeline by which i understand I should know backend and make a proper project.

My current plan

Try to complete as much as I can through campusx playlist.

Make a complete project of ml which includes backend (in python)and learn dsa to moderate level.

Please help me out.i know i messed up for 3 years but this time I am serious.

Hey everyone,

I am a Computer Systems Engineering student taking on remote freelance projects. I focus on building production-ready document understanding systems and custom LLM pipelines that solve immediate business bottlenecks.

My full resume is attached, but here is a quick snapshot of what I can engineer for your team:

Boosted translation accuracy by +27.16 SacreBLEU for low-resource languages, by fine-tuning NLLB-200 via LoRA on custom OCR data.

Preserved 100% semantic header structure during complex document ingestion, by architecting a layout-aware parsing engine using Docling and LangChain.

Blocked sensitive data leakage (achieving 92.0% recall on the Nemotron-PII dataset), by orchestrating a dual-model redaction pipeline utilizing GLiNER and zero-shot BART.

Optimized automated business task extraction to an 80.69% BERTScore, by constructing an asynchronous Map-Reduce pipeline with Mistral-large and Microsoft Power Automate.

If you need to automate heavy text processing, build a secure offline RAG system, or fine-tune a model on proprietary data, send me a DM. Let's build something that scales.

I recently left a very toxic company that was taking a serious toll on my mental and physical health. I gave everything I had and it cost me more than it should have. Now I'm picking myself back up and looking for my next opportunity as an ML/AI Engineer.

I'm based in San Francisco but open to relocation and remote roles and have 5+ years of expereince in multimodel training, inference and optimzation. I'm looking for MLE, AI Engineer, or applied ML roles.

I just need a foot in the door. I know I can crack the interview — I just need a shot. Running short on time and patience but not giving up.

If you know of any open roles, can refer me, or even just point me in the right direction — it would mean the world.

Happy to share my resume via DM.
Thank you. Seriously.

Any help means everything right now.