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Remote Keras ML Jobs

Keras roles are ideal for engineers who build and iterate on neural networks quickly. Companies need candidates who can maintain full control over model architecture while moving fast from prototype to production.

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Jobs & Projects

Aleph Alpha

Posted 4 hours ago

AI Researcher - Pre-training (f/m/d)

Aleph Alpha

Heidelberg

Full-time
English
Open job
Anthropic

Posted 12 hours ago

Research Engineer / Scientist, Pre-training

Anthropic

Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY

Full-time
English
$500K – $850K / year
reinforcement learning machine learning python pytorch machine learning +4 more
Open job
D

Posted 2 days ago

AI Platform Engineer

Digital Atals

Comoro, Comoros (UTC+3)

Mid-Level
Part-time
English
$60k – $80k / year
Open job
Harvey
Full-time
English
$230K – $340K / year
Open job
Harvey
Full-time
English
$230K – $340K / year
python pytorch distributed systems jax llm fine-tuning
Open job
Harvey
Full-time
English
$230K – $340K / year
python llm ai agents llm fine-tuning
Open job
Brainco

Posted 2 days ago

Machine Learning Engineer, Applied AI Intern (Summer 2027)

Brainco

San Francisco Bay Area

intern
Full-time
English
machine learning pytorch machine learning llm jax +1 more
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OpenAI
Full-time
English
$230K – $385K / year
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R

Posted 4 days ago

Principal AI Researcher

Recursion

Remote Opportunity - United States

principal
Full-time
English
Open job
CodeRabbit

Posted 4 days ago

Senior Applied AI Engineer

CodeRabbit

San Francisco

senior
Full-time
English
$200K – $300K / year
reinforcement learning generative ai langchain llm typescript +5 more
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Career guide

How to land a remote Keras ML Engineer role

1

Showcase Keras production work on your profile

Describe models you trained, deployed, and monitored with Keras. Include outcomes — accuracy gains, latency improvements, business impact. Production depth beats tutorial projects.

2

Filter for roles matching your experience level

RemoteAI lists ML roles from mid-level to principal. Find positions where your Keras depth matches the actual technical challenge, not just the job title.

3

Write a targeted application

Connect your Keras experience to the specific ML challenge in the role. Companies respond faster to candidates who show they understand the problem.

4

Prepare for system design questions

ML interviews often include system design. Be ready to architect a Keras-based solution, discuss data pipelines, model serving, and monitoring trade-offs.

5

Move quickly on strong matches

Good ML roles fill fast. If a role matches your Keras stack and experience level, apply within days — not weeks.

Frequently asked questions

What does a remote Keras ML engineer role involve?

Typical Keras ML roles involve model training, evaluation, production deployment, and monitoring. You'll work on real AI systems — not just experiments — and own the full lifecycle from data to deployment.

What salary range do remote Keras ML engineers earn?

Pay depends on seniority, country and contract type, so we do not quote one range. Production deployment experience and end-to-end system ownership usually raise it. When a job post shows a salary range, it is on the job page: compare a few Keras roles before you set your own rate.

Do I need a PhD for Keras ML engineering jobs?

No. Most ML engineering roles prioritise production experience over academic credentials. If you can ship Keras-based models to production and describe the trade-offs, that matters more than a degree.

How competitive are remote Keras ML jobs?

Companies hiring for Keras look for production experience. If you have real deployment work, show it: describe specific outcomes in your profile, not just tool familiarity.

Is RemoteAI free for ML job seekers?

Yes, for normal use. Creating a profile, browsing jobs and applying are free, up to 20 applications a day. Credits are optional: they pay for applications beyond that limit or to put an application at the top of the list. No placement fee when you get hired, no share of your salary, no exclusive contract.

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