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Contract Audio Machine Learning Jobs in California

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 ...

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 ...

Familiarity with audio algorithm development and/or machine learning techniques * 4+ years of experience designing and deploying objective test methodologies for consumer electronics devices and ...

You will join the Signals and Systems group where you will be developing machine learning solutions ... required by government contract. Travel RequirementsNone Relocation ProvidedNone Position ...

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 ...

Showing results 41-60

Contract Audio Machine Learning information

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 the most commonly searched types of Audio Machine Learning jobs in California?

The most popular types of Audio Machine Learning jobs in California are:

What cities in California are hiring for Contract Audio Machine Learning jobs?

Cities in California with the most Contract Audio Machine Learning job openings:

Infographic showing various Contract Audio Machine Learning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Machine Learning Scientist

Xforia, Inc.

Laguna Hills, CA • On-site

Contractor

This job post has expired today. Applications are no longer accepted.


Job description

ESSENTIAL JOB DUTIES AND RESPONSIBILITIES:
Rapid prototyping, training, and testing of ML solutions using online code repositories, research publications, or customer specifications.
Staying current with advancements in ML, including new development tools, libraries, frameworks, ML models/architectures, training techniques, and application pipelines.
Participating in ML algorithm/hardware co-design tasks.
Performing, documenting, and presenting detailed analyses related to ML algorithm development, software/hardware benchmarking, and application development.
Gaining a thorough understanding of the Akida 1.0/2.0 hardware device and associated software stack (MetaTF).
Interfacing with customers to discuss ML application goals, constraints, and opportunities.
Developing and optimizing models for time series data and large language models (LLMs).
Advancing the state-of-the-art in ML through innovative research and practical coding skills.
QUALIFICATIONS:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education/Experience:
Master's Degree in Computer Science, Electrical Engineering, or a related field with 5+ years of experience; or a PhD with 3+ years of experience.
Coursework in machine learning, computer vision, control systems, and time series modeling.
Strong programming skills in Python.
Experience developing ML applications in TensorFlow/Keras and/or PyTorch.
Excellent communication skills.
Experience in one or more of the following application fields: Image Processing/Computer Vision, ADAS, Anomaly Detection, Audio/Speech Processing, Automatic Speech Recognition, and Time Series Modeling
Evidence of creativity, including patents and publications.
Preferred Qualifications:
Experience training and optimizing large language models (LLMs).
Ph.D. 5+ years of domain expertise
Multi-project experience in object classification, object detection, face recognition, keyword spotting, and time series modeling, automatic speech recognition.
Knowledge of deep learning quantization techniques.
Experience with Docker and Git.
Experience with Scrum/Agile software development methodologies (e.g., Jira).
Language Skills:
Exceptional presentation, verbal and written skills.
Ability to independently synthesize a point of view given many different perspectives.
Ability to read and interpret documents, such as policies and procedures, routine mail, contracts, and instruction manuals. Ability to compose routine reports and correspondence.
Ability to effectively communicate with persons of various social, cultural, economic, and educational backgrounds.
Reasoning Ability:
Advanced ability to analyze information, problems, situations, practices, or procedures.
Advanced ability to analyze complex technical data using qualitative and quantitative sources of information to formulate logical and objective conclusions and to recognize alternatives and their implications.
Ability to carry out instructions delivered in written, oral, or other formats in daily situations.
Ability to deal with problems involving several concrete variables in standardized situations.
Ability to make timely decisions to produce positive outcomes.