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Full Time Audio Machine Learning Jobs (NOW HIRING)

Bland

Machine Learning Researcher, Audio

San Francisco, CA · On-site

$140K - $250K/yr

  • Medical

  • Dental

  • Vision

Machine Learning Researcher, Audio Location: San Francisco, CA or Remote About Bland At Bland.com, our mission is to empower enterprises to build AI phone agents at scale. Based in San Francisco, we ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

Responsibilities : • Design, build, and optimize scalable machine learning pipelines for multimodal model training, fine-tuning, and evaluation across text, image, audio, video, and 3D data. • ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

Responsibilities : • Design, build, and optimize scalable machine learning pipelines for multimodal model training, fine-tuning, and evaluation across text, image, audio, video, and 3D data. • ...

Apple

Machine Learning Engineer

Pittsburgh, PA · On-site

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have ... Experience handling multimodal data including text, images, audio, and other sensors. Experience in ...

Cohere

Audio Inference Engineer, Model Efficiency

Responsibilities : • Build reliable machine learning systems and optimize audio inference serving efficiency using innovative techniques. • Advance core audio model serving metrics, including ...

Hive

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP * 2+ years experience managing machine learning teams * You have an ability to understand and make ...

Hive

Machine Learning Manager

San Francisco, CA · On-site

$180K - $250K/yr

Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP * 2+ years experience managing machine learning teams * You have an ability to understand and make ...

Hive

Machine Learning Manager

San Francisco, CA

$180K - $250K/yr

Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP * 2+ years experience managing machine learning teams * You have an ability to understand and make ...

Hive

Machine Learning Manager

Seattle, WA

$180K - $250K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP * 2+ years experience managing machine learning teams * You have an ability to understand and make ...

Apple

Machine Learning Engineer

Pittsburgh, PA

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have ... Experience handling multimodal data including text, images, audio, and other sensors. Experience in ...

Kitware

Machine Learning Engineer

Clifton Park, NY · On-site

$85K - $125K/yr

... images, video, metadata, audio, and text, and we recognize the need for robust, affordable ... Some travel is required, typically 5-25% * Full-time on-site work at the Kitware Office Preferred ...

Kitware

Machine Learning Engineer

Minneapolis, MN

$85K - $125K/yr

... images, video, metadata, audio, and text, and we recognize the need for robust, affordable ... Some travel is required, typically 5-25% * Full-time on-site work at the Kitware Office Preferred ...

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... images, video, metadata, audio, and text, and we recognize the need for robust, affordable ... Some travel is required, typically 5-25% * Full-time on-site work at the Kitware Office Preferred ...

Kitware

Machine Learning Engineer

Clifton Park, NY

$85K - $125K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... images, video, metadata, audio, and text, and we recognize the need for robust, affordable ... Some travel is required, typically 5-25% * Full-time on-site work at the Kitware Office Preferred ...

Kitware

Machine Learning Engineer

Minneapolis, MN

$85K - $125K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... images, video, metadata, audio, and text, and we recognize the need for robust, affordable ... Some travel is required, typically 5-25% * Full-time on-site work at the Kitware Office Preferred ...

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Full Time Audio Machine Learning information

See salary details

$29.5K

$84.5K

$171.5K

How much do full time audio machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for full time audio machine learning in the United States is $84,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $113,000.00 per year, depending on experience, location, and employer.

What is a full time audio machine learning job?

A Full Time Audio Machine Learning job involves developing and applying machine learning algorithms to process and analyze audio data, such as music, speech, or environmental sounds. Professionals in this role work on tasks like audio classification, speech recognition, sound synthesis, and noise reduction. They often collaborate with data scientists, audio engineers, and software developers to build AI-driven applications for industries like entertainment, healthcare, and virtual assistants. This position typically requires strong programming skills, experience with machine learning frameworks, and a background in audio signal processing.

What are the key skills and qualifications needed to thrive as a full time audio machine learning engineer?

To thrive as a Full Time Audio Machine Learning Engineer, you need a solid background in machine learning, digital signal processing, and proficiency in programming languages like Python or C++, often supported by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, and familiarity with audio analysis libraries and cloud computing platforms, are typically required. Strong analytical thinking, collaboration, and problem-solving skills help you tackle complex audio data challenges and work effectively in multidisciplinary teams. These competencies are crucial for developing, optimizing, and deploying robust audio ML solutions that drive innovation in areas like speech recognition, music analysis, and sound classification.

What are some common challenges faced by professionals in full time audio machine learning roles, and how can they be addressed?

Professionals in full-time audio machine learning roles often face challenges such as dealing with noisy or unbalanced datasets, managing high computational requirements for model training, and ensuring real-time processing capabilities. Overcoming these challenges typically involves applying advanced data augmentation techniques, leveraging specialized hardware (like GPUs), and optimizing models for efficiency. Collaboration with data engineers and domain experts is also crucial to refine data pipelines and validate model outputs. Staying updated with the latest research and open-source tools can further enhance problem-solving in this rapidly evolving field.

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

AspectFull Time Audio Machine LearningAudio Data Scientist
Required CredentialsDegree in Computer Science, Electrical Engineering, or related field; experience in machine learning and audio processingSimilar credentials; strong background in data science, statistics, and audio analysis
Work EnvironmentResearch labs, tech companies, startups focusing on audio applicationsData-driven teams, analytics departments, R&D units in tech or entertainment industries
Employer & Industry UsageTech firms developing speech recognition, audio enhancement, or sound classificationCompanies analyzing audio data for insights, product development, or quality control

Both roles require expertise in audio processing and machine learning, often sharing similar educational backgrounds. Full Time Audio Machine Learning specialists focus on developing models and algorithms, while Audio Data Scientists analyze audio data to extract insights. The roles are closely related and often overlap, but the former emphasizes model development, whereas the latter emphasizes data analysis and interpretation.

More about Full Time Audio Machine Learning jobs

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 Full Time Audio Machine Learning jobs look for?

The top searched job categories for Full Time Audio Machine Learning jobs are:

Full Time Audio Machine Learning jobs near you
Infographic showing various Full Time Audio Machine Learning job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $84,456 per year, or $40.6 per hour.

Seasonal Full-Time Audio Engineer (A1and A2)

Orlando Magic

Orlando, FL • On-site

Full-time

PTO

Posted 14 days ago

Job description

Before we get into the specifics of the role, there are a few things we want you to know:
At the Orlando Magic, our approach is to not only learn as much about you as we can, but for you to learn about us. This is definitely a two-way street, so time with your potential new leader, teammates, and/or other departments that the role will work with is critical. It isn't just, "what are we looking for", but also, "what do we have to offer you" and "are we the right fit for you." While every position is different, our interview process is typically a three-step process, sometimes more depending on the level and nature of the role.
What we offer you:
• Being a seasonal role, we offer 5 days of personal time off per year + 8 holidays that coincide with the NBA season. Please note that the Orlando Magic are eligible to play on Thanksgiving and Christmas day as scheduled by the league office
• A hybrid work model, casual work attire on non-game days, learning and development opportunities, Employee Resource Groups (ERGs), company sponsored events, volunteer opportunities & outings for every employee
• Culture built on Community, Innovation, Legendary and Teamwork!
A quick summary about the Seasonal Full-time Audio Engineer (A1 and A2) role:
This is a Seasonal Full-Time position (40+ hrs/week for the 2026-2027 NBA season) with a start date targeted for August and an end date scheduled for roughly 2 weeks after the 2026-2027 Orlando Magic season ends.
Broadcast Technology and Services (BTS) Seasonal Full Time Audio Engineer will be assisting the Lead Audio Engineer managing, maintaining and operating the in-arena sound system for various games/events. This role will serve as the A-1 for all Osceola Magic and Orlando Solar Bears games, the A-2 for Orlando Magic and back-up A-1 for Orlando Magic games.
Locations include but not limited to Kia Center, as game/events are held at Silver Spurs Arena (Osceola Heritage Park), Advent Health Training Center, Magic Carpet Aviation (Orlando Airport), our business office located downtown at CNL and other off-site Magic events.
What the Seasonal Full-time Audio Engineer will do:
  • Work closely with Lead Audio Engineer and Assistant Director of AV Services to establish all audio acquisition and playback procedures, protocols and workflows to ensure the highest level of quality and consistency for all installed or portable sound systems operated within the KIA Center.
  • Work as Audio Engineer (A1) for Solar Bears, Osceola Magic games at OHP, and cover Orlando Magic games as needed as A1 or A2 (Audio Assistant) position.
  • Assist in establishing all event audio set up/strike procedures.
  • Setup and strike all sizes of event setups including audio, but may include video, COM and courtside equipment
  • Execute small and large corporate conference AV setups throughout the venue
  • Provide technical support to Magic staff and clients on event and non-event days.
  • Responsible for coordinating and facilitating all event bowl and facility audio setups, sound checks, quality control protocols and system operations.
  • Coordinates with other part-time Audio Assistants (A2) for events.
  • Match technical equipment needs with required audio applications for a given game, event, or program.
  • Review equipment technical status regularly, to recommend and implement policy, procedure and development plans.
  • Assist Lead Audio Engineer and other BTS team members with project planning, coordination, daily maintenance and technical labor.
  • Work with the SFT Event AV Tech to help support events in hospitality AV spaces and advise on upkeep and technical issues.
  • Work with the Operation Technical Engineers (EIC) to maintain equipment and signal flow between the Video Control Room, Audio Production Booth and KIA Center audio system.
  • Coordinate all AV needs with Special Events staff to ensure consistent quality for all Magic and related business events and multiple facilities.
  • Advance and coordinate all AV needs with the Live Entertainment department, including any game day performances, musical acts, and presentations. Work with the Live Entertainment staff to ensure quality services for both the preforming artists and presenters.
  • Work with Radio Broadcast staff to advise and maintain audio production system for both home and away games
  • Work with Orlando Venues clients in coordination with the Lead Audio Engineer and Assistant Director of AV Services to ensure consistent and Legendary audio experiences for both event guests and the clients.
  • All other duties as assigned.

What the Seasonal Full-time Audio Engineer needs to have:
  • Extensive knowledge, proficiency and experience required in:
    • Yamaha Digital Consoles
    • QSC control system
    • Dante Controller
    • In-house patching and routing
    • Shure wireless systems and workbench
    • College degree preferred or equivalent experience required.
    • Minimum of 5 years of front of house experience required.
    • Arena/Large Venue experience is a plus.
    • Strong familiarity with analog and digital audio consoles and outboard audio processing equipment required.
    • 2 years of studio audio production experience preferred.
    • Adobe Suite, SMAART or other similar audio professional software experience strongly preferred.
    • Strong understanding of live sound principles, including mixing, equalization, and feedback control.
  • Ability to work all Osceola Magic, Orlando Solar Bears, Orlando Magic home games plus a select number of non-Magic events. This includes the ability to work a flexible schedule including nights and weekends and be on-call as necessary based on the changing priorities of the department.
    • Proficient in Microsoft Office, Outlook, Excel, Word, PowerPoint and other related computer skills required.
    • Ability to meet tight deadlines and work well under pressure.
    • Strong organizational, verbal skills, time management skills and attention to detail required.
    • Exhibit good judgment and decision-making skills.
  • Ability to prioritize and manage multiple tasks/projects and support multiple high level executive positions.
  • Ability to work independently without supervision, be self-directed and demonstrate initiative.
  • Ability to take direction without follow up.
  • Ability to work collaboratively with others whom you have no direct authority over.
  • Strong teamwork and team synergy skills required.
  • Excellent ability to establish rapport with others and ability to build strong interpersonal relationships.
  • Exhibit good judgment and decision-making skills.
  • Availability and willingness to work extended hours, including nights and weekends and be on-call as necessary.
  • Willingness to work a flexible schedule based on the changing priorities of the department.

Physical requirements
  • Capability to stand, kneel and/or crouch for long periods of time
  • Capability to climb ladders and scaffolding
  • Capability to lift in excess of 50 pounds
  • Capability to work in high places
  • Capability to work in small, cramped places

If this opportunity is a role you're passionate about and it fits with your skills and experience, then we welcome you to take the next step and apply!
All offers of employment are contingent on successful completion of our pre-employment screenings, that will include a background check and may include a drug screen.
Please note that this is not necessarily an exhaustive list of all responsibilities, duties, skills, efforts, requirements or working conditions associated with the job. While this is intended to be an accurate reflection of the current job, management reserves the right to revise the job or to require that other or different tasks be performed as assigned.
The Orlando Magic are not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at the Orlando Magic via-email, the internet or in any form and/or method without a valid written Statement of Work in place for this position from Orlando Magic HR/Recruitment will be deemed the sole property of the Orlando Magic. No fee will be paid in the event the candidate is hired by the Orlando Magic as a result of the referral or through other means.
The Orlando Magic is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, religion, color, sex (including pregnancy and gender identity), sexual orientation, parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, any other non-merit based factor or any other characteristic protected by applicable federal, state or local laws. Our leadership team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment. If you'd like more information about your EEO rights as an applicant under the law, please visit http://www1.eeoc.gov/employers/poster.cfm
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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