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Remote Audio Machine Learning Jobs in Connecticut

ABB

OEM Sales Director-Machinery

Wilton, CT · On-site +1

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

Ross Video

Broadcast Engineer

Wallingford, CT · On-site +1

You will then deploy what your team builds in remote events for the top networks and brands in ... audio path, fiber linked systems, digital video compression and transmission standards, PC ...

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All JobsAudio Machine Learning JobsRemote Audio Machine Learning JobsRemote Audio Machine Learning Jobs in Connecticut

Remote Audio Machine Learning information

What is the difference between Remote Audio Machine Learning vs Remote Audio Engineer?

AspectRemote Audio Machine LearningRemote Audio Engineer
Required CredentialsBackground in machine learning, data science, or AI; often a degree in computer science or related fieldsAudio engineering, sound design, or music production degree or certification
Work EnvironmentPrimarily focused on developing algorithms, data analysis, and model training, often in a tech or research settingRecording, mixing, editing audio, often in studios or remote production setups
Employer & Industry UsageTech companies, research labs, AI startups working on audio recognition or enhancementMusic, film, broadcasting, and media production companies

Remote Audio Machine Learning specialists focus on developing algorithms to process and analyze audio data, while Remote Audio Engineers handle the practical aspects of recording and editing sound. Both roles may collaborate but serve different functions within the audio industry.

How does a Remote Audio Machine Learning role typically collaborate with cross-functional teams, and what communication tools are commonly used?

In a Remote Audio Machine Learning position, collaboration with cross-functional teams such as software engineers, data scientists, and product managers is essential. Regular communication is maintained through tools like Slack, Zoom, and project management platforms such as Jira or Trello. Team members often participate in virtual stand-ups, sprint planning sessions, and code reviews to ensure alignment on project goals and timelines. Effective asynchronous communication and clear documentation are especially important in remote settings to keep everyone informed and foster a productive workflow.

What are the key skills and qualifications needed to thrive as a Remote Audio Machine Learning Engineer, and why are they important?

To thrive as a Remote Audio Machine Learning Engineer, you need strong foundations in digital signal processing, machine learning algorithms, and programming (often Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, and audio processing libraries (e.g., LibROSA), as well as experience with cloud platforms, is highly valuable. Excellent problem-solving skills, self-motivation, and clear remote communication are essential soft skills for collaborating across distributed teams. These competencies enable the development of robust, innovative audio ML solutions while ensuring effective teamwork and project delivery in a remote setting.

What is a Remote Audio Machine Learning job?

A Remote Audio Machine Learning job involves using machine learning techniques to analyze, process, or generate audio data while working from a remote location. Professionals in this field develop algorithms for tasks such as speech recognition, music classification, noise reduction, or audio synthesis. They often work with large datasets, build and train models, and collaborate with teams online. These roles typically require skills in programming, signal processing, and experience with machine learning frameworks.
What are the most commonly searched types of Audio Machine Learning jobs in Connecticut? The most popular types of Audio Machine Learning jobs in Connecticut are:
What are popular job titles related to Remote Audio Machine Learning jobs in Connecticut? For Remote Audio Machine Learning jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Audio Machine Learning jobs in Connecticut look for? The top searched job categories for Remote Audio Machine Learning jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Audio Machine Learning jobs? Cities in Connecticut with the most Remote Audio Machine Learning job openings:
Remote Audio Machine Learning jobs near you
Programmatic Specialist I (Remote)

Programmatic Specialist I (Remote)

Connoisseur Media

Westport, CT • On-site, Remote

$45K - $60K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

Job description

If you love building relationships through your digital marketing expertise, we need you on our team! We are looking for a Programmatic Specialist to be part of our Connrex Digital team, who strives to help our sales teams execute digital marketing solutions for local SMBs and agencies. In this role, you will use your excellent organizational, communication, and technical skills to ensure positive customer outcomes.
Description:
The Programmatic Specialist works closely with our sellers and Programmatic Specialist Managers on the execution of all digital advertising campaign types, including social media management, targeted display, connected TV/OTT, email marketing, website design, streaming audio/video, and search. The Programmatic Specialist serves as a liaison to all internal stakeholders, including account management, sales, product, design, and DSP’s, as it relates to executing digital campaigns. You’ll have the opportunity to build strong internal relationships, assist in creating new methods and solutions for resolving challenges, and assist our Programmatic Specialist Managers, account managers, and sellers in delivering on the best practices of digital marketing execution and analytics. This position can work remotely in the United States.
Principal Responsibilities:
  • Input a steady stream of digital orders into ad-serving programs daily.
  • Assist in the onboarding of new customers, ensuring all campaign details and requisite information are transmitted to the campaign manager, working with the Programmatic Specialist Managers to ensure client-side actions are completed (tag placement, analytics setup, creative approval, etc.), and all new customer / new campaign SLAs are met
  • Enter campaign details into production tracking software, ensuring a smooth and timely launch of all elements across all campaigns assigned, coordinating amongst all stakeholders.
  • Document customer goals, track work completed, and provide updates on the process to customers and sales colleagues
  • Analyze and interpret customer campaign reports/dashboards and deliver key findings to customers to ensure alignment with campaign expectations.
  • QA on contract/billing as required to identify errors and inconsistencies in contracts and campaign details.
  • Liaison for sales and Programmatic Specialist Managers with internal departments and partners
  • Solve campaign problems and effectively escalate issues.
Requirements of this position include:
  • Ability to adapt, multitask, and respond quickly to changing technology and deadlines.
  • Interested in learning and picking up new concepts quickly.
  • Detail-oriented with the ability to work independently, and demonstrate excellent analytical problem-solving/technical troubleshooting skills.
  • Excellent communication and interpersonal skills with the ability to communicate professionally with management and staff at all levels.
Qualifications:
  • Bachelor’s degree in a related field preferred, but not required.
  • Self-driven problem solver, able to adapt in a rapidly changing, high-energy environment.
  • Experience in some combination of the following: digital marketing campaign management, media planning, campaign optimization, digital marketing analytics, account management, and customer support.
  • Strong attention to detail and organizational skills.
  • Excellent presentation, written, and oral communication skills.
  • A working knowledge of programmatic display, audio, and video advertising is a plus.
  • A working knowledge of tag placement, configuration, and management is a plus.
  • An understanding of HTML, JavaScript, and WordPress CMS is a plus.
  • Base knowledge of CRM/Help Desk platforms.
  • Experience level can vary.
Benefits:
Connoisseur invests in people who invest in themselves and offers employees a competitive package of health and welfare benefits.
  • Comprehensive Benefits Package: Medical, Dental, and Vision. Supplement Life Insurance, AD amp;D Coverage, STD, and LTD coverage.
  • Paid Time Off: 17 PTO days and 10 company holidays.
  • 401(k) Retirement Plan: Employer matching to support your future financial goals.
  • Employee Assistance Program: Free support services for you and your household.
Discover Your Passion at Connoisseur!
We are Connoisseur Media, a broadcast and digital media company serving audiences, advertisers, and local communities. Recognized as one of the top 10 radio broadcasters in the U.S., we operate 216 radio stations in 47 markets and run a growing digital marketing business. From music and news to community events, we create media that matters. Through Connrex Digital, we help brands thrive with smart strategies, engaging stories, and expert PR. At our core, people are our passion and the heart of the Company, and we’re proud to be community-minded, with employees who love getting involved and making a difference.
Connoisseur Media is an Equal Opportunity Employer and participates in E-Verify. All qualified applicants will receive consideration for employment without regard to any characteristic protected by law.
If you need an accommodation to complete the application process, please contact us at 1-877-459-5750 or recruitment@connmedia.com and include your full name, contact information, and the accommodation needed to assist you with the application process.

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