Machine Learning Jobs in Web3

294 jobs found

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Job Position Company Posted Location Salary Tags

Entangle Labs

Dubai, United Arab Emirates

$122k - $127k

CAT Labs (Crypto Asset Technology Labs, Inc.)

United States

$150k - $180k

Trustana

New York, NY, United States

$67k - $75k

Nethermind

Singapore, Singapore

$72k - $112k

Genies, Inc.

Los Angeles, CA, United States

$21k - $64k

Plai Labs

Los Angeles, CA, United States

$75k - $150k

Lemon.io

Canada

$48k - $110k

CAT Labs (Crypto Asset Technology Labs, Inc.)

United States

$185k - $220k

Whatnot

San Francisco, CA, United States

$178k - $235k

Binance

Taipei, Taiwan

Coinbase

Remote

$126k - $127k

Coinbase

Remote

$140k - $165k

Coinbase

Remote

$185k

Unlimit

Gurgaon, India

$87k - $103k

Ionicpartners

United States

$72k - $90k

Entangle Labs
$122k - $127k estimated

Senior ML Ops Engineer

Dubai
Tech & Product /
Remote

Apply for this job
As a Senior ML Ops Engineer, you will pioneer the development of AI infrastructure (clusters, pipelines, models, etc) tailored for distributed computing, advancing the capabilities of decentralised applications.
You will put machine learning into practice, so your code directly affects our customers immediately.

Responsibilities:
Build execution frameworks: design and create low-level execution frameworks to train models on remote hardware.
Lead the design, implementation, and use of AI/ML models to process and analyse secured data, ensuring high performance and scalability.
Collaborate with Ops engineers to integrate AI/ML models into the decentralised platform.
Build pipelines to deliver AI models to clusters (100+ nodes).
Optimize GPU-powered low-level computing.

Requirements:
Bachelor's degree (or higher) in Computer Science, Information Systems with a Machine Learning specialization, or equivalent education.
5+ years of work experience in machine learning or data engineering.
Framework development: experience interfacing with common ML Frameworks (Tensorflow, PyTorch, etc). Experience with Ray Framework is a huge advantage.
Solid experience with distributed systems with many computing resources for large computations.
Understanding of parallel programming - specifically as it pertains to GPUs.
Familiarity with modern AI models, APIs, and SDKs (e.g. OpenAI, LLMs)

Nice To Have:
Systems-level programming experience in Go.
Previously worked at the lower levels of the ML stack - on compilers or hardware implementation.
Base-level understanding of a traditional compiler (LLVM, GCC).
Understanding of a computer architecture specialized for training NN graphs (Intel Xeon CPU, GPUs, TPUs, custom accelerators).

What we offer:
- Exciting opportunity with a growing international startup aiming to make significant progress in a revolutionary, multi-billion dollar industry.
- Payments in USDT.
- Competitive compensation package including token allocations.
- Remote work with a timezone that aligns well with the UAE time.
- Paid vacation and public holidays.
- Work closely with the founding team and have your voice heard.
If this job description aligns with your expertise and interests, please submit your CV and a cover letter.
Apply for this job

Is machine learning a good career?

Yes, machine learning is a rapidly growing field and can be a very promising career option for those interested in it

As businesses and industries increasingly rely on data to drive decision-making, there is a growing need for skilled professionals who can analyze and make sense of this data

Machine learning, which involves developing algorithms that can learn from and make predictions on large datasets, is a crucial part of this process

Machine learning careers can range from data analysts, machine learning engineers, data scientists, and more

These professionals work in a variety of industries, including finance, healthcare, e-commerce, and technology

The demand for machine learning experts is high, and the salaries in this field are also generally quite competitive

However, it's important to note that machine learning can be a complex field that requires a strong background in mathematics, statistics, and computer science

It also requires ongoing learning and staying up-to-date with the latest developments and tools in the field

If you enjoy working with data, have a strong interest in programming, and are willing to put in the effort to stay current with developments, a career in machine learning can be very rewarding.