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Audio Machine Learning Jobs in New Jersey (NOW HIRING)

Lead AWS AI Engineer

Piscataway, NJ ยท On-site

$104K - $137K/yr

Amazon Transcribe for speech-to-text and audio processing use cases * Amazon Comprehend for natural ... AWS certifications such as AWS Certified Machine Learning - Specialty or AWS Certified Solutions ...

It's why we work with some of the world's leading creators to produce and share audio storytelling ... Machine Learning and LLM fundamentals, including transformer architecture, training/inference ...

Senior Analyst, Audible People & Places

Newark, NJ ยท On-site

$92K - $121K/yr

It's why we work with some of the world's leading creators to produce and share audio storytelling ... AI and machine learning tools into analytics workflows to drive scalability and efficiency ...

$50/hr

... audio signal processing. * Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard

$50/hr

... audio signal processing. * Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard

$50/hr

... audio signal processing. * Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard

$50/hr

... audio signal processing. * Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard

$50/hr

... audio signal processing. * Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard

$50/hr

... audio signal processing. * Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard

$50/hr

... audio signal processing. * Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard

Showing results 21-40

Audio Machine Learning information

What is an audio machine learning?

An Audio Machine Learning job involves developing algorithms and models that analyze, process, and generate audio data. Responsibilities typically include working with speech recognition, music analysis, sound classification, and audio enhancement. Professionals in this field use deep learning, signal processing, and neural networks to improve audio-based applications like voice assistants, noise reduction systems, and music recommendation engines. They often work with datasets of speech, music, or environmental sounds to build models that understand and manipulate audio signals effectively.

What does an audio machine learning do?

Professionals in Audio Machine Learning typically spend their days designing, developing, and optimizing machine learning models tailored to audio data, such as speech or music recognition systems. You may also preprocess large datasets, extract and engineer relevant features, and collaborate closely with data scientists, audio engineers, and software developers to integrate your work into larger applications. Regular tasks often include running experiments, evaluating model performance, tuning hyperparameters, and keeping up with the latest advancements in the field. Team meetings, code reviews, and presenting findings to stakeholders are also common parts of the workweek.

What are the key skills and qualifications needed to thrive in audio machine learning?

To thrive in Audio Machine Learning, you need a strong background in machine learning, digital signal processing, and proficiency with programming languages such as Python or MATLAB, typically supported by a relevant degree in computer science, electrical engineering, or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with audio libraries (e.g., Librosa), and knowledge of cloud computing tools are highly valued, as are certifications in AI or data science. Strong problem-solving skills, creativity, and effective communication are essential soft skills for success in this field. These skills are crucial for developing innovative solutions, collaborating across multidisciplinary teams, and addressing complex audio data challenges in real-world projects.

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

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

What are popular job titles related to Audio Machine Learning jobs in New Jersey?

For Audio Machine Learning jobs in New Jersey, the most frequently searched job titles are:

Infographic showing various Audio Machine Learning job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior Finance Manager, Data & Automation

Monitise

Berkeley Heights, NJ โ€ข On-site

$120K - $198K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 19 days ago


Job description

Calling all innovators - find your future at Fiserv.

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

Senior Finance Manager, Data & Automation

About your role:

As a Senior Finance Manager, Data & Automation, you will drive modernization across Corporate Financial Planning & Analysis by improving processes, advancing data infrastructure, and automating enterprise reporting. You will work closely with business unit finance teams, technology partners, and senior finance leaders to deliver scalable analytics, strengthen key performance indicator reporting, and turn complex financial data into actionable insights that support enterprise decision-making.

What you'll do:

  • Serve as the technology subject matter expert for Corporate Financial Planning & Analysis, supporting reporting modernization and automation initiatives
  • Leverage data analysis and process automation tools to streamline financial reporting, analytics, and finance operations
  • Own enterprise key performance indicator reporting by partnering with business unit finance teams to consolidate, validate, and improve metric pipelines
  • Manage the headcount Power BI reporting model to support Management Committee reporting and finance self-service analytics
  • Own and enhance enterprise consolidation applications, including Power Apps and similar workflow solutions
  • Partner with finance and technology teams to identify and implement improvements in data analytics, reporting processes, and infrastructure
  • Translate complex business problems into defined project plans, requirements, and delivery milestones
  • Develop analyses and executive-ready insights for finance leadership, including the Chief Financial Officer, Head of Corporate Financial Planning & Analysis, and Head of Investor Relations

Experience you'll need to have:

  • 4+ years of experience in data analysis, business intelligence, data engineering, or finance
  • Experience with business intelligence applications (Power BI, Tableau, SAP Analytics Cloud
  • Experience with RPA and workflow automation platforms (UiPath, Power Automate, Appian)
  • Experience with big data and ETL tools (Alteryx, Snowflake)
  • Experience with data analysis tools and programming languages (SQL, Python, R)
  • Bachelor's Degree in finance, economics, mathematics, statistics, computer science, or a related quantitative field, or equivalent combination of education, related experience and/or military experience

Experience that would be great to have:

  • Experience in machine learning and artificial intelligence
  • Experience supporting Corporate Financial Planning & Analysis or enterprise finance functions in a large, matrixed organization
  • Experience with machine learning or artificial intelligence use cases in finance, reporting, or analytics environments
  • Experience building executive dashboards, self-service reporting tools, or enterprise metric governance processes
  • Experience supporting headcount reporting, enterprise key performance indicators, or consolidation workflows

How you'll work:

  • This role is on-site Monday through Friday. Fiserv considers in-person collaboration to be an essential part of this role as in-person office experiences help you with your overall onboarding experience and leads to stronger productivity.
  • This role requires use of a computer and audio equipment.

Sponsorship:

You must currently possess valid and unrestricted U.S. work authorization to be considered for this role. Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or TN, or any candidate requiring sponsorship, now or in the future, will not be considered for this role.

Benefits at Fiserv:

  • Fuel Your Life program to support your physical, financial, social, and emotional well-being.
  • Paid holidays and generous time away policies.
  • No-cost mental health support through Employee Assistance Programs.
  • Living Proof program to recognize your peers' extra effort with points redeemable for rewards.
  • Eight Employee Resource Groups to foster a collaborative culture and expand your network.
  • Unparalleled professional growth with training, development, and internal mobility opportunities.
  • Medical, dental, vision, life, and disability insurance options available from day one.
  • Retirement planning and discounted shares with the Employee Stock Purchase Plan.
  • Tuition assistance and reimbursement program.
  • Paid parental, caregiver, and military leave.

Salary Range

$120,000.00 - $198,000.00

These pay ranges apply to employees in New Jersey and New York. Pay ranges for employees in other states may differ.

It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.

For incentive eligible associates, the successful candidate is eligible for an annual incentive opportunity which may be delivered as a mix of cash bonus and equity awards in the Company's sole discretion.

Thank you for considering employment with Fiserv. Please:

  • Apply using your legal name
  • Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Equal Opportunity:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.

If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contactAskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv's Disability Accommodation Policy for additional information.

Note to agencies:

Fiserv does not accept resume submissions from agencies outside of existing agreements.Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.