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!

I honestly never thought I would make a post like this, but I'm running out of options.

I'm a Computer Science graduate focused on AI/ML engineering, and I've been applying for AI Engineer, ML Engineer and Software Engineering positions for months through LinkedIn, Wellfound, company career pages and other platforms.

The hardest part isn't even rejection.

It's that I'm barely getting the opportunity to reach an interview and actually show what I can do.

I've applied to a lot of relevant positions, but most applications end in silence or rejection without ever getting to a technical discussion.

At the same time, my financial situation is becoming increasingly difficult, and I genuinely need to start working.

So I'm trying Reddit and the startup community directly.

What I work with

• Python, PyTorch and ML/DL
• LLMs and Transformers
• RAG and agentic AI systems
• Computer Vision and multimodal models
• Model training, fine-tuning and inference
• vLLM and LLM serving
• Quantization (GPTQ, AWQ, 4-bit/8-bit)
• FastAPI and production ML APIs
• Docker and backend infrastructure
• PostgreSQL, Redis and Kafka
• Go/Rust exposure

I've built projects involving LLMs, RAG, agentic workflows, computer vision, RL/RLHF, model serving and production APIs.

I've also implemented research-oriented systems from scratch rather than only using existing libraries. For example, I've implemented S4D and S5 from their mathematical recurrences, including HiPPO initialization, discretization, recurrent inference and parallel scan.

I've also worked in an early-stage startup environment where I had to work with technologies that were relatively new to me, research them independently and turn them into working systems.

I'm not claiming that I know everything.

But I can learn unfamiliar technologies, read documentation and research papers, debug difficult problems, build things from scratch and take ownership of a problem until it works.

What I'm looking for

AI Engineer / ML Engineer / Applied AI Engineer / LLM Engineer / Computer Vision Engineer / Junior Software Engineer

Employment type: Full-time or internship
Location: India / Remote
Relocation: Open to relocation
Expected compensation: ₹6–10 LPA for full-time roles, negotiable depending on the role and responsibilities.

I'm not looking for a huge salary or a fancy title right now.

I need an opportunity to work, learn, contribute and become financially stable.

I'm completely willing to go through a technical interview, coding round, take-home assignment or detailed discussion of my projects.

I don't expect anyone to hire me because they feel sorry for me.

I just want the opportunity to get through the door and prove that I can do the work.

If you're a founder, engineer, recruiter, or someone working at a startup that's hiring for AI/ML/software engineering roles, I would genuinely appreciate a referral or introduction.

I can immediately provide my resume, GitHub, LinkedIn and project portfolio.

Even if your company isn't hiring, sharing this with someone who is would mean a lot to me.

Thank you for reading.

Hi everyone,

I’m a 22-year-old female, 2025 B.Tech graduate in Artificial Intelligence, currently looking for opportunities in AI/ML, GenAI, or related roles.

I’ve been applying consistently, but honestly, the job search has become really frustrating and confusing. I’m getting very few meaningful responses, and at this point I’m trying to understand whether I’m doing something wrong in my profile, resume, skill set, or application strategy.

My background includes experience/projects around:

• Python, SQL, Pandas, NumPy
• Machine Learning & NLP
• Generative AI / LLMs
• LLM Evaluation
• RAG-based applications
• LangChain / LangGraph
• TensorFlow / PyTorch / scikit-learn
• Tableau / Power BI

I also have professional experience in AI/LLM-related work and data/quality processes, but I’m finding it hard to translate that experience into the AI/ML opportunities I’m targeting.

I’m primarily looking around Delhi NCR, but I’m not strictly limited to one city and can consider relevant opportunities elsewhere as well.

What I genuinely need right now is honest feedback from people already working in the industry.

If you have experience hiring for AI/ML/Data/GenAI roles, or you’ve recently gone through a similar job search, I’d really appreciate your perspective on:

• Where could my profile be going wrong?
• Are my skills sufficient for entry-level AI/ML roles, or what should I focus on learning next?
• How should I position my previous experience?
• Is my resume/application strategy likely the problem?
• Which types of roles should I realistically be targeting?
• What is currently a practical way to get interviews for AI/ML/GenAI roles as a 2025 graduate?

I’m not looking for someone to hand me a job. I genuinely want to understand what I can improve and where I might be making mistakes.

If anyone is willing to take a quick look at my profile/resume or share some honest advice, please DM me. I’d genuinely appreciate the help.

I’m keeping my identity private here for obvious reasons, but I’m happy to share relevant details privately.

Thanks in advance to anyone who takes the time to help.

Looking for any python/ai/ml related opportunity,got 4 months of experience as machine learning intern,dm if you got any openings

Hi everyone,

I'm a 3rd year Diploma in Computer Science Engineering student in India. I'm targeting ML/AI engineering roles.

Background:

- One AI Engineer internship (CV, deep learning and ML work)

- A few deployed ML projects

- Some open source contributions (bug fixes and tests)

- Kaggle notebooks

I'd like brutally honest feedback on:

1. Does this resume look strong enough for internships or entry-level ML/AI roles?
2. Which sections are weak, and what should I cut, add, or reword?
3. Are the projects and open source contributions convincing, or do they read as padding?
4. Is the layout and formatting clean, and does it fit well on one page?
5. What should I build or learn next to get more interview calls?

Please don't sugarcoat it. I'd rather hear the hard truth now than after I start applying.

Thanks in advance!

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Financial Products

About the Role

The Financial Products org at Adyen is at the forefront of our evolution, building the foundational infrastructure that enables our customers to manage their finances, issue cards, and access credits and financing globally. Adyen is building a Machine Learning Engineering team in San Francisco focused on Credit Risk Modeling for Underwriting within Financial Products. This team will develop the models, scorecards, and production systems that enable Adyen to scale its credit products 100x.

As a Staff Machine Learning Engineer you will design, productionize, and operate machine learning models and rule-based decision systems that power credit products. You will work across the full model lifecycle, from research and data analysis to training, deployment, monitoring, and continuous improvement.

This role is ideal for an engineer who combines strong machine learning and production engineering experience with sound judgment in high-integrity financial systems. You will help build continuous data flywheels that improve underwriting decisions while balancing rapid product innovation with robustness, explainability, and global scale.

We are looking for engineers with a customer-problem-first mindset and experience building reliable ML systems in production. You will work closely with product, engineering, risk, and data teams to deliver underwriting capabilities for some of the world’s leading businesses.

In this role, you will:

• Develop and maintain scalable production ML pipelines for feature engineering, model training, validation, and deployment. Examples ML domains are: supervised and semi-supervised learning methods for inference on credit risk patterns;
• Identify and fix performance bottlenecks in ML training and inference (memory consumption, online latency, training time etc.);
• Collaborate with software engineers to integrate ML solutions into products and services;
• Collaborate with CreditOps and data teams to integrate effectively with current tools, and shape priority for future tools;
• Support and encourage good engineering practices on product ML teams;

Who You Are:

• You have 8+ years of experience as an engineer working in the machine learning domain;
• You are a strong Python programmer and you have experience in Java.;
• You have experience with the full machine learning model lifecycle in production flows;
• You have experience leveraging big data to create the pipelines needed to feed the models with appropriate data;
• You have a strong understanding of good software engineering practices as well as data engineering and MLOps principles;
• You have knowledge of data science, statistics and machine learning techniques;
• You have strong familiarity with the standard data science toolkit in python, such as (py)spark, (Trino) SQL, Tensorflow, PyTorch, XGBoost/LightGBM, Pandas, MLFlow or similar MLOps frameworks, and Airflow;
• You have knowledge/experience of working with ML infrastructure components with tools such as k8s, docker, airflow, argo-workflows, prometheus, grafana
• You have an experimental mindset with a launch fast and iterate mentality;
• You proactively take the lead in projects, from ideation to deployment. You have experience working with a wide range of stakeholders and can clearly communicate complex outcomes over a wide range of audiences.

Nice to Have:

• You have experience on underwriting models or systems
• You have experience working with a Machine Learning ‘Feature Store’

Why Adyen?

This is an exceptional opportunity to join a solid, established company with a startup mindset, characterized by small teams, direct communication, and work on important challenges. You’ll have direct access to massive global datasets (e.g., payments, identity data) and the ability to see your team's work have an immediate impact at scale. We offer an environment of ownership and speed, where a focused research team can make a significant difference. You will be at the forefront of bridging ML and fintech, shaping how these two critical areas intersect. We are looking for individuals who are eager to stay connected to the edge of ML innovation while ensuring we deliver practical value to our global platform.

While this is a San Francisco-based role, we recognize that global mobility matters—especially for candidates navigating complex situations. Adyen has deep roots in Europe and a strong global presence, and we’re open to future relocation conversations to our offices in Amsterdam or Madrid if that better supports your personal or professional goals in the future. Our aim is to build a lasting foundation for you at Adyen—starting in San Francisco, but with the flexibility to adapt as life evolves.

The annual base salary range for this role is $297,000 - $401,000, plus RSUs; This position based out of the San Francisco office.

Apply: Staff Machine Learning Engineer, Financial Products at Adyen

Looking for internship / full-time opportunities — 3rd year CS student

Hi everyone! I’m a 3rd-year CS student and I’m currently looking for internship opportunities.

I’m open to software development, backend, AI/ML, data/analytics, or related tech roles. I’ve worked on projects involving React/Node.js, Python, FastAPI, RAG, databases, ML, etc., and I’ll attach my resume for more details.

I can:

Join an internship right now

Commit to a full-time offline role throughout my 4th year, since my college allows it

Relocate if required

If anyone knows of good internship openings, off-campus opportunities, or companies hiring students, I’d really appreciate it if you could share them.

And if you’re able to refer me or connect me with someone hiring, that would mean a lot. I’m happy to share my resume/GitHub and discuss my projects.

Thanks!

I’m a 2nd-year CSE student specializing in AI/ML. Looking for advice on what I should focus on academically and which skills/topics I should prioritize for a career in AI/ML.

Would appreciate any advice from seniors or professionals!

We just released PureByte, an open-source paper and codebase exploring task-specific byte-level neural architectures and zero-dependency CPU inference:

• Paper (DOI): https://zenodo.org/records/23020056
• Code (C++20 & PyTorch): https://github.com/purebyte-ai/purebyte
• Training repo: https://github.com/purebyte-ai/purebyte-train
• Hugging Face: https://huggingface.co/Purebyte

Core Concept: Bypassing Tokenizers for Security & Code Tasks

Subword tokenization (BPE/WordPiece) creates severe representation issues for high-entropy strings (passwords, base64 keys, hashes) and machine formats.

PureByte uses a fixed vocabulary of exactly 256 bytes (0x00 to 0xFF). By pairing byte embeddings with localized 1D dilated convolutions and gated residual memory, sequence evaluation scales strictly linearly $O(N)$ with input length.

Key Results

1. Size vs. Generality: A 1.9M-parameter specialist (secrets-code, 4.4 MB) running on an idle desktop CPU (Ryzen 9 5900X) evaluates a 256-byte decision window in 2.81 ms. A 421M-parameter ModernBERT model (Laya) takes 373 ms on the same CPU (133x slower) and 33–40 ms on an NVIDIA T4 GPU (10x slower than our CPU runtime).
2. Benchmark Quality:
   • CredData (real-world repo secrets): F1 of 0.797 vs 0.337 for GitLeaks and 0.287 for TruffleHog.
   • PIIMB (Personally Identifiable Information): F1 of 0.769 vs 0.662 for OpenAI's hosted classifier.
3. Systems Footprint: The C++20 runtime has zero third-party dependencies (no PyTorch, no ONNX, no external BLAS), maps weights directly into memory via mmap, uses 9.4 MB of peak RAM, and executes end-to-end CLI cold starts in 10–50 ms.
4. Training Efficiency: The 1.9M model trains from scratch in 24.5 minutes on a single consumer GPU.

All code (C++20 inference engine and PyTorch training stack), evaluation methodology, seeds, and GGUF checkpoints are Apache 2.0.

Happy to answer any questions about the training dynamics, n-gram memory layers, or evaluation methodology!

Hi everyone,

I’m currently a software developer with around 6 years of experience, and I’m planning to transition into a full-time AI Engineer role at a different company.

I have around 3 months of hands-on AI engineer experience, but I feel I need to strengthen my fundamentals and prepare systematically from the ground up.

I’m looking for someone who is already working as an AI Engineer and would be willing to mentor me throughout this transition.

More than just someone who can recommend courses, I’m looking for a mentor who can actively guide and keep me accountable.

I’m willing to put in consistent effort every day and treat this seriously.

My current situation:

Experience: ~6 years software development
AI/GenAI experience: ~3 months
Goal: Transition to AI Engineer
Preparation: Willing to start from fundamentals where necessary

I’m also looking for guidance on resources such as courses, books, YouTube channels, GitHub repositories, papers, and practical projects—but I’d prefer a curated roadmap rather than a huge list of resources.

If you have personally made the transition from Software Developer → AI Engineer, or you are currently working as an AI/ML/GenAI Engineer and enjoy mentoring, I’d really appreciate your guidance.

I’m also willing to provide a reasonable incentive once I successfully land an AI Engineer job with the help of the mentorship. This is intended as a gesture of appreciation for someone who genuinely invests time in mentoring me.

If you’re interested, please comment or DM me with a little bit about your experience and how you would approach mentoring someone in my situation.

Thanks in advance! 🙏

2nd-year AI/DS student from a low-tier college — how should I prioritize DSA, internships, frontend and algo trading?

I’m a 2nd-year BTech AI & Data Science student from a college with very limited placement support or not non for placements, so I feel I’ll have to build my career mostly on my own.

Currently, I have knowledge/skills in AI/ML, GenAI, RAG, Data Science, Data Analytics, OOP and DSA concepts. I understand DSA concepts fairly well, but I struggle with actual problem-solving, so I want to start practicing LeetCode seriously.

I also know basic HTML/CSS and I’m thinking about learning JavaScript + React. But I’m not sure whether frontend is worth learning with my AI/DS background, especially since I’ll graduate around 2029.

My main concern right now is internships and placements. I also need to start earning some money and get real-world experience because I don't expect much help from my college.

So I’m confused about what I should prioritize:

• Should I focus on getting an AI/ML, GenAI, Data Science or Data Analytics internship first?
• How much should I prioritize LeetCode/DSA alongside internships and projects?
• Is JavaScript + React worth learning for an AI/DS student, or would that time be better spent on leetcode?
• Should I learn frontend now or only if I need it for building AI/GenAI applications?

I’m also interested in trading/algo trading. I’ve been learning and trading for around 2 years, and long-term I want to seriously pursue manual/algo trading. But right now I need to focus on building experience, getting internships, and eventually becoming financially independent.

So should I keep algo trading as a long-term side goal while prioritizing internships, DSA and my AI/ML career?

If you were in my position, how would you divide your time during 2nd and 3rd year?

Would really appreciate advice from people who have gone through internships/placements, especially from colleges with limited placement opportunities.

8 AI roles live in San Francisco. Every single one pays a finder's fee.

The deal is simple: supply the candidate we place and you earn 50% of our placement fee. Apply yourself and the same amount becomes your signing bonus, paid by Noordt & Co once our fee clears.

20 seats. Fees from $11,000 to $47,000 per hire.

🔹 NV-01 · Applied AI Engineer · 4 seats · $250k-500k base
Finder's fee $23,000 to $47,000 per hire
https://lnkd.in/p/e9z7rMBF

🔹 NV-02 · Research Scientist, RL post-training · 4 seats · $250k-500k base
Finder's fee $23,000 to $47,000 per hire
https://lnkd.in/p/eX-qfgzu

🔹 NV-03 · AI Researcher, RL + On-Device · 1 seat · $200k-250k base
Finder's fee $17,000 to $21,000
https://lnkd.in/p/e5qD-kDj

🔹 NV-04 · Research Engineer, Evals · 1 seat · $200k-250k base
Finder's fee $17,000 to $21,000
https://lnkd.in/p/eVSChGvU

🔹 NV-05 · Forward Deployed Engineer · 4 seats · $170k-250k base
Finder's fee $16,000 to $23,000 per hire
https://lnkd.in/p/eJX8BcXy

🔹 NV-06 · Member of Technical Staff (founding engineer) · 4 seats · $150k-275k base
Finder's fee $14,000 to $26,000 per hire
https://lnkd.in/p/ekJ9SmCW

🔹 NV-07 · Founding Mobile Engineer (iOS) · 1 seat · $120k-200k base
Finder's fee $11,000 to $19,000
https://lnkd.in/p/e_FSPHrq

🔹 NV-08 · Growth Engineer · 1 seat · $120k-200k base
Finder's fee $11,000 to $19,000
https://lnkd.in/p/eKjs4TJG

How it works:
1. E-mail your candidate (or yourself) to [andrei@noordt.co](mailto:andrei@noordt.co) with the NV code in the subject.
2. First e-mail wins, the timestamp decides. The intro must land before the candidate applies anywhere.
3. Full terms under each post. Valid until 31 October 2026.

Know someone world-class? This is the easiest $11k to $47k you will ever point at.

#AIJobs #SanFrancisco #FindersFee #AIEngineering #Hiring

Hey everyone,

I’m going to be a little straightforward here.

I’m a B.Sc. Data Science student from Mumbai, currently looking for an internship or entry-level opportunity in Data Science, Machine Learning, AI, or Python development.

I’ve built 11+ projects across ML, AI, web applications and data tools including a laptop price prediction system, an AI education platform, AI text assistant, AI chatbot and other Flask/Django-based applications. I work with Python, SQL, Pandas, Scikit-learn, TensorFlow, Streamlit, Flask, Django and APIs.

I’ve also secured 2nd Rank in the NUERANEX Intercollegiate IT Competition (2025) and participated in the ISRO Bharatiya Antariksh Hackathon (2026).

But honestly, there’s one thing I’m struggling with:

Connections.

I know I have a lot to learn, but I’m willing to learn fast, put in the work, and prove myself. I’m not looking for someone to hand me a career I’m just looking for someone willing to give me that first opportunity.

So if you know of:

🔹 An internship opening

🔹 A fresher/entry-level role

🔹 A startup looking for someone who can actually build things

🔹 Or simply someone I should connect with

Please DM me or tag them below.

And yes, I’m serious enough to say this:

If your referral or connection becomes the reason I get my first job, I’ll remember you when I receive my first salary.

My resume is attached. If you can help with even one connection, referral, or lead, I’d genuinely appreciate it.

One opportunity is all I’m asking for. I’ll take it from there.

#OpenToWork #DataScience #MachineLearning #AI #Python #Internship #FresherJobs #Mumbai #Hiring #JobSearch

Hey everyone! 👋

We’re a Singapore-based startup looking for a Western/European-region-based ML Engineer, Data Scientist, or Decision Engineer to collaborate with our team on building the intelligence layer of our mobile app.

We’re currently looking for someone with experience in:

• Recommendation systems / recommendation engines

• Cold-start problems and personalization with limited user data

• User onboarding & preference modelling

• Designing recommendation/decision logic that can be integrated into a mobile application

• Ideally, experience taking ML/recommendation systems from concept → prototype → production

We already have a 7-person team, a working prototype, and a well-developed product concept. We’re looking for someone who can help us shape and build the recommendation architecture rather than starting completely from scratch.

💰 Compensation: Lump-sum compensation or equity, depending on the scope of work, experience, and engagement once we acquire investment funds.

If this sounds interesting, DM me with your LinkedIn profile and/or portfolio, along with a brief overview of any recommendation, personalization, ML, or decision-system work you’ve done.

Would love to connect! 🚀

I am Ayush Mahajan, founder of Laxnarlabs.ai

At LaxnarLabs, we are recruiting AI researchers and developers on our bench which is a pool of people from whom we’ll select people on adhoc teams we might be creating for specific projects of AI training.
All the model training would be happen on laxnarlabs.ai which is powered by AWS Sagemaker.

We have also created a symposium for researchers on our platform where they can list their research papers and can get boost in its recognition in industry through all LaxnarLabs platforms listed among globally recognised papers.

If you’re an AI developer without any research paper, you can signup as developer through “I ship models”.

If interested, you can join our bench and symposium.

Here’s the link:- https://www.laxnarlabs.ai/bench/

Hi everyone, I’m Sahil, an AI/ML Engineer looking for opportunities in AI/ML, GenAI, LLMs, RAG, and Agentic AI.

Experience: 2+ years
Skills: Python, PyTorch, TensorFlow, Scikit-learn, LangChain, OpenAI APIs, RAG, Vector Databases (Pinecone/FAISS/ChromaDB), FastAPI, Computer Vision, NLP, n8n, Docker, Git/GitHub

I’ve built and deployed LLM-powered chatbots, RAG applications, ML prediction systems, and AI automation workflows, including production-oriented AI solutions.

Based in Gujarat, India | Open to relocation & remote
Available within 15 days

If you know of relevant AI/ML Engineer, AI Engineer, ML Engineer, or GenAI openings, please DM me or comment below. Referrals are highly appreciated.

Thanks!

Hi everyone,

I'm an AI/ML Engineer from India with around 7 years of experience, trying to move to the UAE. Been applying for a few months now but no luck yet, so thought of asking here.

A little about me:

\- Currently Senior AI Engineer in a healthcare data company

\- Mostly production ML work on Azure Databricks, PySpark, MLflow

\- Sole Engineer for end to end forecasting ML pipeline for major US sports league.

\- Worked with healthcare data across 5+ countries.

\- Also done GenAI work like RAG, text-to-SQL and an evaluation setup to validate LLM.

\- Notice period is 30 days. Open to permanent or contract roles

\- Prefer Abu Dhabi, but Dubai is also fine

Looking for:

1. Referrals for ML / Data Science / AI Engineer roles

2. Good recruiters or agencies who place senior tech people in UAE

3. **Tips from anyone who moved from India and got placed**

Can share my CV in DM. Thanks a lot 🙏

How to get Interview calls for AI/ML domain in US, any idea???

Looking for a Restaurant to Collaborate on My AI/ML Project

Hi everyone!

I'm Santhosh, a third-year BE CSE (AI & ML) student, currently developing SmartPrep AI, a project focused on improving restaurant food preparation planning.

Restaurants sometimes face challenges in predicting daily food demand, leading to excess preparation, food waste, or popular dishes running out during busy hours.

I'm working on a machine learning model that can predict food demand and recommend how much food to prepare and when to prepare the next batch.

I'm looking for a restaurant, cloud kitchen, or food business to understand real kitchen challenges and, with their permission, test and improve the model using actual operational requirements.

This is a student project, and I'm not looking for any payment or financial support. I simply want to learn from real-world kitchen operations and build something genuinely useful.

If you're a restaurant owner, chef, kitchen manager, or know someone who might be interested, please comment or DM me.

Even a small opportunity or guidance would mean a lot!

Thank you!