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Freelance Remote E Learning Developer Jobs in California

Quora

$139K - $168K/yr

We have a culture that's rooted in constantly learning and improving, and our engineers are ... LI-SS2 LI-REMOTE

Quora

$139K - $168K/yr

We have a culture that's rooted in constantly learning and improving, and our engineers are ... LI-SS2 LI-REMOTE

Quora

$139K - $168K/yr

We have a culture that's rooted in constantly learning and improving, and our engineers are ... LI-SS2 LI-REMOTE

Quora

$139K - $168K/yr

We have a culture that's rooted in constantly learning and improving, and our engineers are ... LI-SS2 LI-REMOTE

Quora

$139K - $168K/yr

We have a culture that's rooted in constantly learning and improving, and our engineers are ... LI-SS2 LI-REMOTE

Quora

$139K - $168K/yr

We have a culture that's rooted in constantly learning and improving, and our engineers are ... LI-SS2 LI-REMOTE

Quora

$139K - $168K/yr

We have a culture that's rooted in constantly learning and improving, and our engineers are ... LI-SS2 LI-REMOTE

Quora

$139K - $168K/yr

We have a culture that's rooted in constantly learning and improving, and our engineers are ... LI-SS2 LI-REMOTE

Quora

$139K - $168K/yr

We have a culture that's rooted in constantly learning and improving, and our engineers are ... LI-SS2 LI-REMOTE

Omnissa

Staff Machine Learning Engineer

Mountain View, CA · On-site +1

$162K - $342K/yr

As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems ... Strongproficiencyin Python and ML frameworks (e.g.,PyTorch, TensorFlow,Scikitlearn). * Experience ...

PlacingIT

Head of Machine Learning - 1811

San Francisco, CA · Remote

$180K - $250K/yr

Remote (United States) Employment Type: Direct Hire - Full-Time Compensation: $180K-$250K - based ... Partner closely with engineering, product, and executive leadership to define technical strategy ...

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Freelance Remote E Learning Developer information

What is the difference between Freelance Remote E Learning Developer vs E Learning Designer?

AspectFreelance Remote E Learning DeveloperE Learning Designer
CredentialsTypically requires instructional design, multimedia, or related certificationsOften holds instructional design or educational technology certifications
Work EnvironmentRemote, freelance projects for various clientsUsually employed by organizations or as freelancers, working remotely or onsite
Industry UsageUsed across education, corporate training, and e-learning companiesCommonly employed in educational institutions and corporate training teams

Both roles involve designing and developing e-learning content, often requiring similar certifications. The main difference is that Freelance Remote E Learning Developers work independently on diverse projects, while E Learning Designers may be employed full-time or freelance within organizations, focusing on instructional design and user experience.

What are the most commonly searched types of Remote E Learning Developer jobs in California? The most popular types of Remote E Learning Developer jobs in California are:
What are popular job titles related to Freelance Remote E Learning Developer jobs in California? For Freelance Remote E Learning Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Freelance Remote E Learning Developer jobs in California look for? The top searched job categories for Freelance Remote E Learning Developer jobs in California are:
What cities in California are hiring for Freelance Remote E Learning Developer jobs? Cities in California with the most Freelance Remote E Learning Developer job openings:
Freelance Remote E Learning Developer jobs near you

Senior Staff Machine Learning Engineer - Core Services Engineering

Uber Technologies, Inc.

Sunnyvale, CA • On-site, Remote

Full-time

Retirement

Re-posted 4 hours ago

Uber rating

6.9

Company rating: 6.9 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

4th of 9 rated taxi private hire

Job description

We are looking for an experienced Senior Staff Machine Learning Engineer to join the Risk and Trust engineering organization at Uber. Our team plays a crucial role in empowering users with secure and seamless digital experiences by establishing industry-leading standards for identity verification, account integrity, and advanced fraud prevention. We proactively safeguard the platform against the evolving landscape of AI-driven fraud, ensuring safety and trust remain at the core of every interaction on Uber's platform. Our focus on fraud prevention is essential to protecting our users and maintaining the integrity of our global services.

About the Role

We are seeking a seasoned Senior Staff Machine Learning Engineer to join the Risk and Trust engineering organization at Uber, focusing on innovative fraud prevention and account integrity solutions. The Risk and Trust organization is central to Uber's mission of providing secure and seamless digital experiences. We focus on establishing industry-leading standards for identity verification, fraud prevention, and account integrity, while proactively defending against sophisticated, AI-driven threats. Our commitment to innovation in fraud prevention is essential to maintaining a safe and trusted environment for everyone who uses the Uber platform.

What You'll Do
 

  • Work with product, data science, and eng leadership to shape the technical roadmap and problem formulations for the team.
  • Leverage algorithmic knowledge in machine. learning/optimization/statistics to design robust engineering solutions to positively impact Uber's business.
  • Shape the MLE role and uplevel MLE talents in the org.
  • Be responsible for the End to End of the product - ML model pipeline & system design, implementation, AB testing, and rollout. Work with the team to productionize the solutions at scale.

 Basic Qualifications
 

  • 10+ years of industry experience developing machine learning models ( both classical and deep learning) and shipping ML solutions to production.
  • Master's degree in Computer Science, Engineering, Mathematics or related field
  • Strong problem-solving skills, with expertise in ML methodologies
  • Experience in applying ML, statistics, or optimization techniques to solve large-scale real-world problems
  • Industry experience in ML frameworks (e.g. Tensorflow, Pytorch, or JAX) and complex data pipelines; programming languages such as Python, Spark SQL, Presto, Go, Java


 Preferred Qualifications 
 

  • PhD degree in Computer Science, Engineering, Mathematics or related field
  • Familiarity with multi-task learning, LLMs and anomaly detection
  • Fraud domain knowledge

Ready to Ride?


This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.


You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.


Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.


Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

For San Francisco, CA-based roles: The base salary range for this role is USD $267,000 per year - USD $297,000 per year.


For Sunnyvale, CA-based roles: The base salary range for this role is USD $267,000 per year - USD $297,000 per year.


For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

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