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Contract Audio Machine Learning Jobs in Livermore, CA

Description We are seeking a machine learning research engineer with experience building modern ... audio/multimodal foundation models. You will stay at the forefront of the latest AI research to ...

Spark Tek Inc is seeking a highly skilled Machine Learning Engineer to design and build a low ... Device identifiers (PID, Serial Number, MAC, Hostname), Smart / Virtual accounts, Orders, contracts ...

This team works across hardware, firmware, machine learning, software, industrial design, and manufacturing to deliver robust audio experiences that perform reliably inside homes and alongside people.

Prior experience working with multi-modal models (e.g., combining text, image, or audio inputs). Bonus Points * Background in competitive programming. * Contributions to open-source initiatives.

Prior experience working with multi-modal models (e.g., combining text, image, or audio inputs). Bonus Points * Background in competitive programming. * Contributions to open-source initiatives.

Showing results 21-40

Contract Audio Machine Learning information

See Livermore, CA salary details

$35

$57

$116

How much do contract audio machine learning jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for contract audio machine learning in Livermore, CA is $57.40, according to ZipRecruiter salary data. Most workers in this role earn between $48.22 and $59.52 per hour, depending on experience, location, and employer.

What is the difference between Contract Audio Machine Learning vs Contract Data Scientist?

AspectContract Audio Machine LearningContract Data Scientist
Required CredentialsDegree in Computer Science, Data Science, or related field; experience with machine learning frameworksDegree in Data Science, Statistics, or related; strong programming skills
Work EnvironmentFocus on audio data, signal processing, and machine learning modelsBroader data analysis, statistical modeling, and data visualization
Industry UsageMedia, entertainment, speech recognition, audio analysisFinance, healthcare, marketing, and various industries requiring data insights

Contract Audio Machine Learning specialists focus on developing models specifically for audio data, while Contract Data Scientists handle a wider range of data types and analysis tasks. Both roles require strong technical skills, but their focus areas and industry applications differ.

What are popular job titles related to Contract Audio Machine Learning jobs in Livermore, CA?

For Contract Audio Machine Learning jobs in Livermore, CA, the most frequently searched job titles are:

What job categories do people searching Contract Audio Machine Learning jobs in Livermore, CA look for?

The top searched job categories for Contract Audio Machine Learning jobs in Livermore, CA are:

What cities near Livermore, CA are hiring for Contract Audio Machine Learning jobs?

Cities near Livermore, CA with the most Contract Audio Machine Learning job openings:

Infographic showing various Contract Audio Machine Learning job openings in Livermore, CA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $119,388 per year, or $57.4 per hour.

Machine Learning Engineer, SIML

Apple

Cupertino, CA • On-site

Full-time

Re-posted 10 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 681 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Do you believe that generative models can fundamentally change how people interact with devices? Are you excited by the possibility of connecting people to unprecedented levels of creativity? Come join the team that turned cutting edge Generative AI research into compelling user experiences through Apple Intelligence. We are part of the Intelligent System Experiences team at Apple and work on the core modeling technology behind Genmoji, Image Playground and Image Wand. From web-scale datasets to distributed training of foundation models, application specific adapters to on-device optimizations, you will have the unique opportunity to advance and ship state-of-the-art technology that impacts Apple users around the world!
Description
We are seeking a machine learning research engineer with experience building modern generative models based on diffusion and auto-regressive technologies. The ideal candidate has solid ML fundamentals, experience with applied research, and hands-on knowledge training and adapting large scale image/video/audio/multimodal foundation models. You will stay at the forefront of the latest AI research to rapidly apply impactful developments while simultaneously pioneering proprietary, experimental ideas designed specifically for Apple's unique ecosystem.
Minimum Qualifications
M.S. or PhD in Computer Science or a related field such as Electrical Engineering, Robotics, Statistics, Applied Mathematics, or equivalent experience.
2+ years of experience working on training and fine-tuning modern image / video generation models
Experience working in an academic or industrial research environment
Proficient in an ML framework such as PyTorch, TensorFlow, JAX
Excellent communication skills and an ability to drive clarity in ambiguous circumstances
Preferred Qualifications
Track record of strong industrial research, including delivery of complex projects or publications in top-tier venues

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976