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Remote Spatial Audio Algorithms Jobs in New York, NY

About Daydream Music is inherently real-time, but today's generative audio tools aren't: you prompt ... Logistics This is a part-time contract role, and it's remote. We're flexible on cadence and can ...

Senior Data Scientist

Brooklyn, NY · On-site +1

$100K - $150K/yr

We're remote but have an office in Brooklyn, New York. We're looking for a Senior Data Scientist to ... In-depth knowledge of mathematics, statistics and algorithms. * Operate well within fast paced ...

... audio and visual assets, and overall appeal. * Draft effective captions and social-first copy that ... Stay informed on platform updates, algorithm changes, emerging formats, and social media best ...

... remote, T/W/TH in-office) At Magnite, we cultivate an environment of continuous growth and ... audio. Our tech fuels billions of transactions per day! About this team: The Manager, Technical ...

Perform necessary edits, add text overlays, incorporate trending audio, and utilize basic motion ... Stay updated on best practices, features, and algorithm changes across key social media platforms.

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Remote Spatial Audio Algorithms information

See New York, NY salary details

$32.3K

$92.4K

$187.6K

How much do remote spatial audio algorithms jobs pay per year?

As of Aug 27, 2026, the average yearly pay for remote spatial audio algorithms in New York, NY is $92,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,700.00 and $123,600.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Spatial Audio Algorithms jobs in New York, NY?

The most popular types of Spatial Audio Algorithms jobs in New York, NY are:

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For Remote Spatial Audio Algorithms jobs in New York, NY, the most frequently searched job titles are:

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The top searched job categories for Remote Spatial Audio Algorithms jobs in New York, NY are:

Sr. Data Researcher || 100% REMOTE

GD Resources LLC

Manhattan, NY • On-site, Remote

$140K - $160K/yr

Full-time

Posted 14 days ago


Job description

Job Title - Sr. Data Researcher
Location - 100% REMOTE
Base Salary - $140,000 - $160,000
JOB #. 83483208
Industry: Education / Training / Libraries
Job Category: Information Technology - Business Intelligence
*** Client Screening Questions ***
1- Do you have Ph. D?
2- Do you have background in relational databases, big data systems, and data analytic systems?
3- Are you familiar with git and project management tools, such as JIRA ?
Ideal Candidate
PhD in Computer Science, or similar fields
Background in relational databases, big data systems, and data analytic systems
Expertise in data management, data cleaning, distributed systems, database storage engines, query processing and query optimization, and applied data science
Job Details:
We are interested in a variety of topics including big data management, self-service data cleaning and transformation at scale, data quality, search and discovery of structured data, information extraction, time-series and heterogenous data analytics, metadata management, applied AI, machine learning and data mining, data visualization, natural language processing and big data systems including systems' concerns such as: resource management, storage, caching, query processing, query optimization, security, and privacy.
Key Responsibilities:
Investigate heterogenous data management techniques and polystore systems, including the application of AI & machine learning techniques to foundational data management problems including data quality, data profiling, data integration and schema matching.
Develop tools and frameworks to enable scalable development of machine learning models and data science algorithms across data domains, including tabular, time series, text, audio and video.
Create distributed data processing architectures that leverage "compute at the edge" to enable novel use cases and applications such as predictive routing, data-driven experiences, and adaptive environments.
Work with GEIS researchers to understand data-related opportunities in peer researchers' domains such as applied AI and machine learning in Audio / Video domains.