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Audio Machine Learning Intern Jobs in Ridgewood, NJ

ML Engineer, Audio

New York, NY · On-site

$180K - $250K/yr

About We're looking for a machine learning engineer to help build Stream, a new conversational ... Develop, evaluate, and deploy audio models spanning cloud models to resource-constrained on-device ...

They are seeking a machine learning engineer to develop a new conversational computer, working on voice, memory, and agentic control. Responsibilities : • Develop, evaluate, and deploy audio models ...

Showing results 41-60

Audio Machine Learning Intern information

See Ridgewood, NJ salary details

$25.8K

$43.1K

$89K

How much do audio machine learning intern jobs pay per year?

As of Aug 20, 2026, the average yearly pay for audio machine learning intern in Ridgewood, NJ is $43,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,900.00 and $46,500.00 per year, depending on experience, location, and employer.

What does an audio machine learning intern do?

An Audio Machine Learning Intern assists in developing and improving machine learning models that process and analyze audio data. Their tasks may include data preprocessing, feature extraction, model training, and evaluation for applications like speech recognition, sound classification, or music analysis. Interns often collaborate with engineers and researchers to experiment with new algorithms and optimize audio-based AI systems. This role provides hands-on experience in both audio signal processing and machine learning techniques.

What types of projects can an audio machine learning intern expect to work on during their internship?

As an Audio Machine Learning Intern, you can expect to be involved in projects such as developing and fine-tuning audio classification models, working on speech recognition algorithms, or improving the accuracy of sound event detection systems. You may also assist with the collection and preprocessing of audio datasets, as well as support model evaluation and optimization. Collaboration with data scientists, audio engineers, and software developers is common, offering a hands-on learning environment and exposure to end-to-end machine learning workflows in the audio domain.

What are the key skills and qualifications needed to thrive as an audio machine learning intern, and why are they important?

To thrive as an Audio Machine Learning Intern, you need a solid background in signal processing, machine learning fundamentals, and programming skills, often supported by coursework or research in computer science or electrical engineering. Familiarity with Python, TensorFlow or PyTorch, and audio processing libraries like Librosa is typically required. Creativity, problem-solving abilities, and strong collaboration skills help you stand out in this role. These skills are crucial for developing innovative audio solutions, interpreting complex data, and working effectively within research or product teams.

What is the difference between Audio Machine Learning Intern vs Audio Data Analyst?

AspectAudio Machine Learning InternAudio Data Analyst
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fieldsDegree in Data Analysis, Statistics, or related fields; may have certifications in data tools
Work EnvironmentResearch labs, tech companies, or startups focusing on AI and audio techData-driven departments within media, entertainment, or tech companies
Employer & Industry UsageUsed in AI development, research projects, and product innovationUsed for analyzing audio data, improving user experience, and reporting

The Audio Machine Learning Intern focuses on developing models and algorithms for audio data, often in research or development settings. In contrast, the Audio Data Analyst primarily interprets audio data to generate insights and support decision-making. Both roles require familiarity with audio data, but the intern role emphasizes machine learning skills, while the analyst role centers on data analysis and reporting.

What are popular job titles related to Audio Machine Learning Intern jobs in Ridgewood, NJ?

For Audio Machine Learning Intern jobs in Ridgewood, NJ, the most frequently searched job titles are:

What job categories do people searching Audio Machine Learning Intern jobs in Ridgewood, NJ look for?

The top searched job categories for Audio Machine Learning Intern jobs in Ridgewood, NJ are:

What cities near Ridgewood, NJ are hiring for Audio Machine Learning Intern jobs?

Cities near Ridgewood, NJ with the most Audio Machine Learning Intern job openings:

Infographic showing various Audio Machine Learning Intern job openings in Ridgewood, NJ as of June 2026, with employment types broken down into 2% As Needed, 62% Full Time, 29% Part Time, 2% Temporary, 2% Contract, and 3% Nights. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $43,085 per year, or $20.7 per hour.

Machine Learning Engineer, Next-Generation Recommendation Systems New York, NY, USA View role

Unity Technologies

Manhattan, NY • On-site

$127.40 - $191.20/hr

Other

Medical, Life, Retirement, PTO

Posted 2 days ago

New


Job description

## Machine Learning Engineer, Next-Generation Recommendation SystemsApplylocations: New York, NY, USA: Bellevue, WA, USA: Mountain View, CA, USAtime type: Full timeposted on: Posted Yesterdayjob requisition id: JOBREQ-2616159**The opportunity** Unity's Vector AI team builds the machine learning systems that decide which ads reach which players — across billions of monthly users on the world's leading game engine. Recommendation and ranking systems are the core of this work: predicting user value, optimizing bids, and delivering outcomes for advertisers at massive scale.We are building the next generation of these systems. The frontier has shifted — large language models, reinforcement learning from human feedback, and agentic AI are reshaping what recommendation systems can do. We are looking for PhD graduates who have worked at that frontier and want to bring those ideas into production systems that matter.**What you'll be doing*** Design, build, and evaluate next-generation ranking and recommendation models that incorporate LLMs, RLHF, and preference learning to improve ad relevance and user experience.* Develop user understanding systems — conversion prediction, behavioral modeling, and value estimation — that operate across billions of impressions.* Apply reinforcement learning and optimization techniques to bidding strategy, auction dynamics, and real-time ad delivery.* Design and run rigorous experiments using causal inference, A/B testing, and offline evaluation frameworks to measure and improve model quality.* Partner with engineering to bring research ideas into production, working across the full pipeline from training data to deployed model.* Communicate findings clearly to technical and non-technical stakeholders across engineering, product, and business teams.**What we're looking for*** PhD in Computer Science, Machine Learning, Statistics, or a related field (graduating 2026 or recent graduate).* Strong research foundations in one or more of: recommendation systems, reinforcement learning, LLM post-training or alignment, human-AI collaboration, probabilistic modeling, or optimization.* Experience working with large-scale data and ML systems, whether through research or industry internships.* Fluency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow.* A track record of rigorous, high-quality research — publications at top venues (NeurIPS, ICML, ICLR, KDD, RecSys, ACL, WWW, or similar) are a strong signal.* Strong written and verbal communication skills — able to make complex ideas accessible across technical and non-technical audiences.**You might also have*** Industry experience in ads, recommendation, or user understanding systems (internship experience counts).* Hands-on experience with production ML pipelines — training at scale, feature engineering, or experimentation infrastructure.* Experience applying LLMs or generative models to ranking, retrieval, or structured prediction problems.* Familiarity with agentic AI approaches — multi-step reasoning, tool use, or human-AI collaboration frameworks.* Exposure to causal inference, uplift modeling, or A/B testing at scale.* Genuine curiosity about applied research and the drive to see ideas through to impact.**Additional information*** Relocation support is not available for this position$127,400.00 - $191,200.00*This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set.***Benefits** At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program**Life at Unity** Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com. *Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators.* *If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out* *this form* *to let us know.* *This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. This posting is intended to fill an existing vacancy, and we are committed to providing applicants with updates throughout the hiring process in accordance with applicable law.* *Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our**Prospect* *and**Applicant* *Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.* #J-18808-Ljbffr