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Remote Record Label Jobs in San Ramon, CA (NOW HIRING)

Kim Luxe Travel

Travel Customer Service

San Francisco, CA · Remote

$18.75 - $25.50/hr

Fully remote position with flexible hours * Training and ongoing support to help you succeed * Career growth opportunities within a growing travel agency * Access to travel benefits and exclusive ...

Tricehealthcare

Spec 2, Customer Order Mgmt

San Jose, CA · Remote

$34/hr

Pay rate is $34 remote to start, must be local. Supplier Call: Friday, 12/4 12:30pm PST. +1 213-204-8277 Phone Conference ID: 510 743 934# SAP required, Capital Contract Experience Needed Service Max ...

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All JobsRemote Record Label JobsRemote Record Label Jobs in San Ramon, CA

Remote Record Label information

See San Ramon, CA salary details

$22

$28

$37

How much do remote record label jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for remote record label in San Ramon, CA is $28.13, according to ZipRecruiter salary data. Most workers in this role earn between $25.53 and $28.22 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Record Label Manager, and why are they important?

To thrive as a Remote Record Label Manager, you need a solid understanding of music industry operations, digital marketing, artist management, and contract negotiation, often supported by a degree in music business or related experience. Familiarity with digital distribution platforms (like Spotify for Artists, DistroKid), project management tools, and CRM systems is crucial. Strong communication, networking, and self-motivation are essential soft skills to effectively collaborate with artists and stakeholders from a distance. These abilities ensure the successful promotion and management of artists and releases in a highly competitive digital music landscape.

What is a remote record label?

A remote record label is a music company that operates primarily online, without a centralized physical office. These labels handle artist management, music production, distribution, and promotion virtually, allowing team members and artists to collaborate from anywhere in the world. Remote record labels use digital tools and platforms for communication, file sharing, and project management. This model offers flexibility and can reduce overhead costs, making it accessible for both emerging and established music professionals.

What are some common challenges faced when working remotely for a record label, and how can they be addressed?

Working remotely for a record label often presents challenges such as coordinating across different time zones, maintaining effective communication with artists and team members, and managing digital workflows for music releases and promotions. To address these, it's important to utilize collaboration tools like Slack or Asana, schedule regular check-ins, and maintain clear documentation of project timelines and responsibilities. Proactively building relationships through virtual meetings and being adaptable to fast-paced changes in the industry can also help remote team members stay connected and effective.

What is the difference between Remote Record Label vs Remote Music Producer?

AspectRemote Record LabelRemote Music Producer
CredentialsMusic industry experience, business knowledgeMusic production skills, software proficiency
Work EnvironmentCollaborative, team-based, often with multiple artistsIndependent, project-focused, studio or home setup
Industry UsageLabels manage artist development and distributionProducers create and refine music tracks

While both roles operate remotely within the music industry, a remote record label oversees artist management and distribution, whereas a remote music producer focuses on creating and producing music tracks. Understanding these differences helps clarify career paths and job expectations in the digital music landscape.

What are popular job titles related to Remote Record Label jobs in San Ramon, CA? For Remote Record Label jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Remote Record Label jobs in San Ramon, CA look for? The top searched job categories for Remote Record Label jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Remote Record Label jobs? Cities near San Ramon, CA with the most Remote Record Label job openings:
Remote Record Label jobs near you
Infographic showing various Remote Record Label job openings in San Ramon, CA as of June 2026, with employment types broken down into 1% As Needed, 89% Full Time, 8% Part Time, 1% Contract, and 1% Nights. Highlights an 48% Physical, 4% Hybrid, and 48% Remote job distribution, with an average salary of $58,513 per year, or $28.1 per hour.
Staff Machine Learning Engineer, Vehicle Compliance Reasoning

Staff Machine Learning Engineer, Vehicle Compliance Reasoning

Waymo

San Francisco, CA • On-site, Remote

$251K - $310K/yr

Other

Posted 17 days ago

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The Planner Reasoning Team builds technology that has an extremely broad impact across the Waymo organization and is the team most directly responsible for the Waymo Driver's behavior. We are the software engineering team responsible for Waymo's high-level motion planning, encoding Waymo's desired driving behaviors onboard and offboard. Our mission is to build the driving logic needed to deliver a safe, excellent Waymo Driver at scale. We have wide reaching impact into both onboard and off-board system architecture, paving the way for future-looking deep-learning-based explorations. In this team, you'll have an impact on scaling our Waymo Driver's performance and maintaining and improving our excellent safety record as Waymo expands to more cities.

In this hybrid-based role, you will report to an Engineering Manager.

You will:

  • Lead and develop ML solutions for the Waymo driver's decision making and motion planning -- shaping the data, reward, or loss functions in modeling, data mining from large datasets, developing and refining labeling policies.
  • Analyze, finetune, and evaluate model performance using data-driven approaches
  • Integrate and deploy ML models on the fleet, conduct end-to-end validation and on-field monitoring.
  • Stay up-to-date with the latest advancements in autonomous driving and machine learning, and be able quickly prototype, experiment and deploy novel SOTA solutions.
  • Collaborate closely with partner teams such as perception, research, simulation, and evaluation
  • Mentor engineers in leading adoption of ML-based approaches for solving reasoning problems.

You have:

  • PhD, Masters or Bachelors degree in Computer Science, Machine Learning, Robotics, or a related field
  • 7+ years of years of software engineering / machine learning experience
  • Experience in applied machine learning including deep learning models, reinforcement learning, feature engineering, loss/reward shaping, data shaping, fine tuning and model evaluation
  • Proficiency in dealing with large scale models and datasets
  • High quality API design with an eye towards eval and data driven technique
  • Experience with working and solving design problems that cut across multiple components
  • Proficiency in Python and at least one deep learning frameworks (e.g. PyTorch, JAX, or TensorFlow)

We prefer:

  • Experience in the autonomous driving domain, including areas like motion planning or perception
  • Experience with Large Language Models (LLM) or Vision Language Models (VLM), prompt engineering and chain of thought reasoning
  • Eval experience, contributing to scalable eval workflows and building metrics for ML models
  • Proficiency in C++

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range
$251,000—$310,000 USD

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