Hi everyone,

I am from the University of Munich and have previously published in the Computer Vision category on arXiv and am now only endorsed for the cs.CV category.  My new paper, “Enhancing Deep Learning Model Robustness through Metamorphic Re-Training”, is more focused on general AI, and therefore I would like to submit it to the cs.AI category :)

I need an endorsement to proceed. If you’re qualified, I’d appreciate your help: https://arxiv.org/auth/endorse?x=ZKK9HC

You can also find me on LinkedIn if you'd like to connect. Thanks in advance!

Hi guys! I'm currently available for commission.

My Prices Starts at $35

TAT : 1-3 days

Payment Through Paypal

My Portfolio

Please feel free to DM me if you're interested. Thank you! ^ ▽ ^

Hi Reddit!

I hope everyone is fat and happy after turkey day.

I'm a data scientist who has worked with companies you know. I'm looking for a project to tackle between now and Janurary/Feburary. I just lost a large project with an airline to a large consulting shop and I'm looking to fill up my holiday so I'm champing at the bit.

The project was network scheduling during cascading failures in airline routes. A pilot calls in sick, or a plane has an unrepairable fault, How does the airline reschedule crews/planes to keep the maximum number of flights/passengers satisfied, taking into account cascade effects. It involved some deep ML, and some really trick optimization methods.

I've worked on other projects including large language models, knowledge extraction, and the usual ML stuff - failure prediction for a large german automaker, translation, maintenance optimization for a taxi fleet, automated sports highlights, and more. I've also done some more interesting work including vehicle route planning in constrained environments.

The perfect fit is a hair on fire green or brownfield problem that needs solving. I'd also appreciate referals. I'm available immediately, and champing at the bit before boredom sets in. DM me immediately.

Hello, I am available to work with people developing or using machine learning in contexts of social media analysis. I do work in French and English. DM me for domain of expertise, more information and availability.

We, the SPRIND (Federal Agency For Breakthrough Innovations, Germany) just launched our Challenge "Composite Learning", and we’re calling researchers across Europe to participate!
This competition aims to enable large-scale AI training on heterogeneous and distributed hardware — a breakthrough innovation that combines federated learning, distributed learning, and decentralized learning.

Why does this matter?

• The compute landscape is currently dominated by a handful of hyperscalers.
• In Europe, we face unique challenges: compute resources are scattered, and we have some of the highest standards for data privacy. 
• Unlocking the potential of distributed AI training is crucial to leveling the playing field

However, building composite learning systems isn’t easy — heterogeneous hardware, model- and data parallelism, and bandwidth constraints pose real challenges. That’s why SPRIND has launched this challenge to support teams solving these problems.
Funding: Up to €1.65M per team
Eligibility: Teams from across Europe, including non-EU countries (e.g., UK, Switzerland, Israel).
Deadline: Apply by January 15, 2025.
Details & Application: www.sprind.org/en/composite-learning

💼 Apple is hiring a Machine Learning Compiler Engineer
Location: 🇺🇸 Sunnyvale, california, United States
💰 Salary: $175K - $312K
💼 Job level: Medium level

"In this role, you will be empowered to: - Architect and develop the compiler for Apple proprietary Neural Engine Accelerator architecture, to enable inference of deep learning networks onto this architecture with an emphasis on performance and power - Bring up new hardware silicon and add support in the compiler for these hardware features - Work on bringing the compiler code to production quality and enable a wide range of applications of deep learning technology for internal clients and 3rd party developers - Evaluate existing hardware blocks and work closely with the platform architecture team on the definition of new hardware features, and hardware specification review - Work with the micro-architecture design team to understand the functional and performance goals of the design - Architect and lead complex compiler features and mentor engineers."

Machine Learning Compiler Engineer at Apple

🏢 University of Essex is offering a fully funded PhD studentship on data-driven biodiversity conservation
Location: 🇬🇧 Colchester, Essex, UK
💼 Job level: PhD

Build ML models to leverage both ecological data and social surveys on nature conservation to transform the way we protect and restore biodiversity

Apply by 7 February for an October 2025 start

🏢 Spotify is hiring a Senior Machine Learning Engineer
Location: 🇺🇸 New York, new-york, United States
💼 Job level: Senior level

Build ML models used in generating candidates for music recommendations on Spotify’s Home surface, including the Spotify Main feed and the music subfeed.

Senior Machine Learning Engineer at Spotify

💼 Waabi is hiring a Machine Learning Engineer
Location: 🇨🇦 Toronto, Ontario, Canada
💼 Job level: Entry level

You will... - Contribute and build the self-driving engineering foundations to develop the next generation autonomy software across many machine learning projects. - Collaborate closely with autonomy and algorithm engineers to scale safe self-driving systems using an AI-first approach. - Build standardized frameworks for training and production aligned with industry best practices. - Comprehensively profile model runtime and memory to pinpoint performance bottlenecks. - Identify and evaluate emerging technologies that can be adopted into Waabi’s training and production frameworks, in areas of training and inference optimization (i.e quantization, model compilation and exporting, etc.), distributed training, PyTorch tooling, etc. - Work with AWS Cloud infrastructure to ensure training job stability and efficiency (i.e compute environments, S3 buckets, etc.).

Machine Learning Engineer at Waabi

🏢 Autodesk is hiring an Intern, Machine Learning
Location: 🇬🇧 London, United Kingdom
💼 Job level: Internship

"As a Machine Learning Engineer Intern in Autodesk's Research Engineering team, you'll apply and investigate advanced machine learning techniques to help our customers design a better, safer, more sustainable world. "

Intern, Machine Learning at Autodesk

🏢 Hugging Face is hiring a Machine Learning Engineer - Optimization team
Location: 🇺🇸 United States
💼 Job level: Medium level

Here at Hugging Face, we're on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better..

Machine Learning Engineer - Optimization team at Hugging Face

Hi Reddit!

I'm a data scientist who's worked with companies you know. I'm looking for my next project. I just lost a large project with an airline to a large consulting shop, so I'm champing at the bit.

The project was network scheduling during cascading failures in airline routes. A pilot calls in sick, or a plane has an unrepairable fault, How does the airline reschedule crews/planes to keep the maximum number of flights/passengers satisfied, taking into account cascade effects. Involves some deep ML, and some really trick optimization methods.

I've worked on other projects including large language models, knowledge extraction, and the usual ML stuff - failure prediction, translation, maintenance optimization, automated sports highlights, and more. I've also done some more interesting work including vehicle route planning in constrained environments.

The perfect fit is a small/medium sized company with a hair on fire green or brownfield problem that needs solving. I'd also appreciate referals. I'm available immediately, and champing at the bit before boredom sets in. Email in profile.

Role Description

This is a full-time on-site role for a Generative AI Engineer. The Generative AI Engineer will be responsible for developing and implementing AI algorithms and models, optimizing AI systems for performance, collaborating with cross-functional teams, and staying up-to-date with the latest AI technologies.

Qualifications

• Strong programming skills in AI, machine learning, and deep learning, computer vision, natural language processing(NLP, LLMs)
• Experience in developing and implementing AI algorithms and models
• Knowledge of data structures, algorithms, and software design
• Proficiency in Python, TensorFlow, and PyTorch
• Experience with natural language processing and generative AI models
• Excellent problem-solving and analytical skills
• Ability to work in a collaborative team environment
• Master's or Ph.D or B.Tech. in Computer Science, Artificial Intelligence, or related field

Employment Type

Full-time

Feel Free to DM you resumes even if you didn't meet some requirements