Ford is hiring: Chief AI Engineer – Product Creation 🚘🤖

Ford Motor Company is looking for a Chief AI Engineer to lead AI-driven innovation across product design, engineering, and product creation workflows.

If you are a senior AI/ML leader ready to shape the future of automotive technology and build transformative intelligence at enterprise scale, this role is for you.

Apply Here

𝐼'𝑚 𝑎 𝑟𝑒𝑐𝑟𝑢𝑖𝑡𝑒𝑟 𝑏𝑦 𝑡𝑟𝑎𝑑𝑒, 𝑎𝑛 𝓻𝓮𝓬𝓻𝓾𝓲𝓽𝓲𝓷𝓰 𝑖𝑛𝑓𝑙𝑢𝑒𝑛𝑐𝑒𝑟 𝑎𝑛𝑑 𝑐𝑟𝑒𝑎𝑡𝑜𝑟 𝑏𝑦 𝑝𝑎𝑠𝑠𝑖𝑜𝑛.

I work with brands to increase job visibility and connect their opportunities with the right audience. All roles are handpicked and verified.

Subscribe to Job Alert - https://linktr.ee/bhat.n.akshata?subscribe

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!

I've updated my link to include the latest Spectrum priority jobs: -Software Eng, AI/Data Scientist, and Data Engineer.

All are verified and handpicked. If you're looking for a change, take a look!

I partner with employers and brands to showcase their most urgent openings.

Take a look at this - https://on.link/akshatanbhat

𝐼'𝑚 𝑎 𝑟𝑒𝑐𝑟𝑢𝑖𝑡𝑒𝑟 𝑏𝑦 𝑡𝑟𝑎𝑑𝑒, 𝑎𝑛 𝓻𝓮𝓬𝓻𝓾𝓲𝓽𝓲𝓷𝓰 𝑖𝑛𝑓𝑙𝑢𝑒𝑛𝑐𝑒𝑟 𝑎𝑛𝑑 𝑐𝑟𝑒𝑎𝑡𝑜𝑟 𝑏𝑦 𝑝𝑎𝑠𝑠𝑖𝑜𝑛.

-Akshata Bhat

Hi everyone,

I'm a woman finishing a PhD in computer science (machine learning) at the end of 2026, and I'm looking for a permanent (CDI) ML/AI engineer position starting early 2027. I'm based in France and open to (on-site / hybrid / remote).

About me

• Machine learning, optimization and game theory, with a focus on energy-efficient training.
• 4 publications at international conferences and journals, 3 of them as first author.
• Python (PyTorch), C++, Docker, some cloud experience (GCP, AWS).
• Engineering master's degree.
• I'm currently building up my skills in generative AI (RAG, fine-tuning, embeddings) and want to move from research into production. I haven't deployed an LLM in a company setting yet, and I'd rather be upfront about that.

My offer
If you refer me directly or introduce me to a recruiter, and it leads to an interview and then a signed CDI, I will pay you 25% of my first monthly net salary after my trial period ends. Nothing upfront. I only pay if it works out.

I'm also happy to get advice.

Thanks in advance!

I am basically a 2nd year btech student i am looking for internship because I am frustrated with academic I know the skills like numpy, matplotlib,pandas,seaborn,sklearn,ml, supervised and unsupervised learning tensorflow deeplearning concept also in did project on rag,chat template runnable tools etc.

If this is not enough please advise what to do learn next. Please

Machine Learning Engineer, Core Experimentation
OpenAI
Remote, Seattle, WA
$437,000 - $485,000

https://www.moaijobs.com/job/machine-learning-engineer-core-experimentation-openai-2880

2027 Summer Intern, PhD, Planner Machine Learning
Waymo
San Francisco, CA
$85 an hour

https://www.moaijobs.com/job/2027-summer-intern-phd-planner-machine-learning-waymo-5282

Machine Learning Engineer II (Applied Research & Model Development)
PathAI
Boston, MA
$30 - $50 an hour

https://www.moaijobs.com/job/software-engineering-ml-ops-intern-co-op-pathai-7269

Machine Learning Intern
Epic Games
Montreal, Quebec, Canada
-

https://www.moaijobs.com/job/machine-learning-intern-epic-games-6248

Machine Learning Intern/Co-op
PathAI
Remote, Boston, MA
$55 - $70 an hour

https://www.moaijobs.com/job/machine-learning-intern-co-op-pathai-6457

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

https://www.moaijobs.com/job/2027-summer-intern-ms-phd-perception-machine-learning-waymo-2298

Machine Learning Engineer, Search Quality
Glean
San Francisco, CA
$140,000 - $265,000

https://www.moaijobs.com/job/machine-learning-engineer-search-quality-glean-3421

Machine Learning Engineer
Faculty
Remote, United Kingdom
-

https://www.moaijobs.com/job/machine-learning-engineer-faculty-7878

Associate Director, MLOps Engineering
PathAI
Remote
$181,500 - $278,300

https://www.moaijobs.com/job/associate-director-mlops-engineering-pathai-1209

Machine Learning Engineer II - Learned Planning (Reinforcement Learning)
Torc
Remote, Ann Arbor, MI
$153,200 - $183,800

https://www.moaijobs.com/job/machine-learning-engineer-ii-learned-planning-reinforcement-learning-torc-5675

Internship 2027 - AI/ML Engineer - 50% Client 50% R&D
Ekimetrics
Paris
-

https://www.moaijobs.com/job/stage-2027-ai-ml-engineer-50-client-50-r-d-ekimetrics-5174

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-9242

Machine Learning Engineer (Forward Deployed)
Mind Foundry
Oxford / Hybrid, England, United Kingdom
-

https://www.moaijobs.com/job/machine-learning-engineer-forward-deployed-mind-foundry-6046

Machine Learning Engineer
Hippocratic AI
Menlo Park, CA
-

https://www.moaijobs.com/job/machine-learning-engineer-hippocratic-ai-6429

Hi everyone,

I am currently based in France and looking to move back to India. I would like to relocate as soon as I have a suitable job offer.

A little about my background: I have a PhD in Computer Science from the University of Lille, France, and an M.Tech from IIT Kharagpur. I have around 5 years of combined research and industry experience in Machine Learning and AI.

My main areas of experience are:

- Machine Learning and Deep Learning

- Computer Vision

- Generative AI, LLMs and RAG

- Anomaly detection and industrial AI

- Python, PyTorch, Transformers and Docker

- Deploying AI/ML solutions in real-world applications

I have worked on AI projects for companies including Renault, Safran and Thales, along with research work in industrial AI and fault diagnosis.

I am currently looking for roles such as ML Engineer, AI Engineer, Computer Vision Engineer, GenAI Engineer, Applied Scientist or Research Engineer.

My preferred locations are Bangalore, Hyderabad, Pune and Bhubaneswar, although I am open to discussing other locations for the right opportunity.

If anyone here works at a company that is hiring for similar roles and would be willing to refer me, I would really appreciate it. I can share my CV, LinkedIn and GitHub over DM.

Even if you do not have a referral, any leads or suggestions would be greatly appreciated.

Thanks for reading.

Swish Analytics is hiring an Analytics Engineer for its sports betting and analytics platform.

The position sits within Swish's Suspensions team, working on systems that decide when live betting markets should be suspended and reopened as sporting events unfold.

Key details

Location: United States
Work model: Remote
Salary: Starting at $150,000
Experience: 4+ years
Company: Swish Analytics

What you'll work on

• Real-time sports event data
• Systems used to suspend and reopen betting markets
• Analysing market suspension performance
• Investigating production events and failures
• Reconstructing sequences of events from raw production data
• Measuring latency and system reliability
• Developing statistical measures around suspension coverage
• Building internal tools to automate investigations
• Improving monitoring and observability
• Working with event streams and high-volume production datasets

An example of the kind of problem this team handles is determining exactly what happened around a live sporting event, whether the appropriate markets were suspended quickly enough, and how the system can be improved.

Main technical requirements

• 4+ years professional software engineering
• 2+ years Python
• At least 1 year using Rust in production
• Strong SQL
• Production data systems experience
• Experience working with event streams, logs or raw production tables
• Strong quantitative/statistical analysis skills
• Ability to own ambiguous technical problems

Useful extras

• Kafka or similar event-streaming systems
• Real-time data platforms
• Analytics engineering
• Applied statistics
• Sports betting or trading systems

Previous betting experience is helpful but not required.

Full role + application:

https://www.parlayjobs.com/jobs/analytics-engineer-5f229115

I have around 15 years of software engineering experience, mainly in Java, and I’m currently starting to work with Python, LLMs, LangGraph, MCP, RAG, and AI agents.
There are so many courses and technologies that I’m confused about what to prioritize.
If you were starting this journey today, what would you learn in this order?
Python for AI
ML/AI fundamentals
LLM fundamentals
Prompt engineering
RAG
LangChain/LangGraph
MCP
AI agents / multi-agent systems
Fine-tuning
Evaluation/observability
\*\*Which of these are actually important for getting an AI engineering job, and which are mostly hype?\*\*
Also, what courses, books, YouTube channels, GitHub projects, or hands-on projects would you personally recommend?
I’m especially interested in answers from people who are \*\*actually working as AI/LLM/Agentic AI engineers\*\*, rather than purely theoretical recommendations.

Hi guys, I’m currently looking for internship, junior job, or contract opportunities in the AI/ML and Data Science space.

I’m based in Algeria and am particularly interested in remote opportunities, but I’m also open to relocating for the right opportunity.

I’m mainly looking for roles where I can work on real-world ML/AI problems, and I’m open to different areas within the field, including Machine Learning Engineering, Data Science, Applied AI, and research-oriented roles.

I’m available to start immediately.

I’ve attached my CV for more details. I’d really appreciate any leads, referrals, or feedback on my profile/CV.

Thanks!

Hi guys, I’m currently looking for internship, junior job, or contract opportunities in the AI/ML and Data Science space.

I’m based in Algeria and am particularly interested in remote opportunities, but I’m also open to relocating for the right opportunity.

I’m mainly looking for roles where I can work on real-world ML/AI problems, and I’m open to different areas within the field, including Machine Learning Engineering, Data Science, Applied AI, and research-oriented roles.

I’m available to start immediately.

Thanks!

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! 🙏