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Entry Level Audio Machine Learning Jobs (NOW HIRING)

Bracebridge Capital

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning team. The team's primary mission is to develop machine learning systems to answer open-ended ...

Apple

Machine Learning Engineer, SIML

Cupertino, CA

$216K - $324K/yr

  • Medical

  • Dental

  • Retirement

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 ...

Apple

Machine Learning Engineer, SIML

Cupertino, CA

$216K - $324K/yr

  • Medical

  • Dental

  • Retirement

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 ...

NICE

Senior Machine Learning Engineer

Sandy, UT · Hybrid

$99K - $136K/yr

As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech ... LoRA/PEFT for speech models, inference optimization (quantization, SGLang/vLLM serving for audio ...

Apple

Machine Learning Engineer, SIML

Cupertino, CA · On-site

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 ...

SynergisticIT

AI & Machine Learning Engineer

Seattle, WA · On-site

$130K - $156K/yr

Entry-Level AI Programmer -- Learn to Build Useful AI Applications AI is changing how companies ... SynergisticIT is looking for candidates interested in Python, machine learning, NLP, automation ...

1X Technologies AS

Audio Systems Engineer, Robot Head

San Carlos, CA · On-site

$173K - $240K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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.

1X

Audio Systems Engineer, Robot Head

Hayward, CA · On-site

$173.86 - $240/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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.

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Entry Level Audio Machine Learning information

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How much do entry level audio machine learning jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for entry level audio machine learning in the United States is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.99 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Audio Machine Learning vs Entry Level Audio Signal Processing?

AspectEntry Level Audio Machine LearningEntry Level Audio Signal Processing
Required CredentialsBachelor's in Computer Science, Electrical Engineering, or related; knowledge of ML frameworksBachelor's in Electrical Engineering, Acoustics, or related; knowledge of DSP tools
Work EnvironmentTech companies, research labs, startups focusing on AI applications in audioAudio equipment manufacturers, telecommunications, research labs
Industry UsageDeveloping AI models for speech recognition, audio classification, sound analysisDesigning audio filters, signal enhancement, audio hardware integration

Entry Level Audio Machine Learning focuses on developing AI models for audio applications, requiring programming and ML skills. Entry Level Audio Signal Processing emphasizes traditional audio analysis and hardware integration, requiring DSP knowledge. Both roles are essential in the audio industry but differ in technical focus and tools used.

What are the most commonly searched types of Audio Machine Learning jobs?

The most popular types of Audio Machine Learning jobs are:

What job categories do people searching Entry Level Audio Machine Learning jobs look for?

The top searched job categories for Entry Level Audio Machine Learning jobs are:

Entry Level Audio Machine Learning jobs near you
Infographic showing various Entry Level Audio Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $36,327 per year, or $17.5 per hour.

Machine Learning Analyst

Bracebridge Capital

Boston, MA

$110K - $145K/yr

Full-time

Re-posted 5 days ago

Job description

We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning team. The team's primary mission is to develop machine learning systems to answer open-ended investment questions and support portfolio management decisions. The team works across the project lifecycle and technical stack, from ideation, understanding and analyzing data, hypothesis generation and testing, and model development all the way through to the deployment and maintenance of models and systems in production. Our work spans statistical modeling, classical machine learning, and modern AI and LLM techniques.

The Machine Learning Analyst's primary responsibility will be to contribute to these efforts alongside other team members. Over time, you will develop the technical and domain expertise needed to take increasing ownership of individual components and ultimately end-to-end projects.

The work is highly collaborative and spans quantitative research, software engineering, and machine learning. Analysts work with other members of the machine learning team and portfolio managers to translate loosely defined investment ideas into practical tools and models. Successful candidates will have solid programming foundations, be comfortable translating between qualitative and quantitative descriptions of problems and be excited to build data analysis and machine learning systems against the backdrop of portfolio management.

Since the team works closely with trading floor personnel to assist with portfolio management decision-making, an interest in economic and financial markets is essential, but no specific prior experience is necessary.

This role is open to candidates available to begin in the near term, as well as students expecting to complete their undergraduate degree between Fall 2026 and Summer 2027. Start dates will be determined based on candidate availability and, for students, degree completion.

 Responsibilities:

  • Collaborate closely with Machine Learning team members, portfolio managers, and researchers to translate open-ended investment questions into well-defined analytical and machine learning problems
  • Develop and evaluate data-driven machine learning and quantitative models, including simulation- and optimization-based approaches, for investment-related problems
  • Contribute to maintaining existing models and analytic tools in production
  • Over time, take ownership of individual features and components and full projects
  • Clearly document and communicate methods, assumptions, results, and limitations of models to other researchers and trading professionals across the firm
  • Stay current with relevant new techniques and technologies in machine learning and artificial intelligence, particularly as they pertain to finance and investing

Qualifications:

  • Bachelor's degree (or equivalent) in a rigorous quantitative field
  • 0-2 years of experience through industry internships, undergraduate research or thesis, or substantial independent technical projects involving software development, data analysis, or machine learning
  • Proficiency in Python and familiarity with the Python data science stack (NumPy, SciPy, Pandas, scikit-learn, etc), with experience in other languages a plus
  • Experience working with and analyzing data from multiple sources and in multiple formats
  • Familiarity with machine learning and statistical modeling fundamentals, including model evaluation and experimental design
  • Demonstrated ability to independently scope and execute open-ended technical projects
  • Interest in financial markets, intellectual curiosity, and comfort in working on open-ended problems
  • Strong written and verbal communication skills

Current anticipated annual base salary range: $110,000 - $145,000

Base salary within the range will be determined by various factors including but not limited to the individual's experience, skills and qualifications.

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