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Contract Computer Vision Deep Learning Engineer Jobs in Syosset, NY

Quanta Search

Machine Learning Engineer

Manhattan, NY · On-site

Successful candidates will also have deep interest in learning about trading and the financial ... Researchers and developers there are passionate about their work, model building, data and ...

Averity

Staff Machine Learning Engineer

Manhattan, NY · On-site

$170K - $215K/yr

Staff Machine Learning Engineer - AI Products Location: Hybrid in NYC (Bryant Park Office) Salary ... and deep learning * Proven track record of building scalable AI platforms used by millions

Forhyre

Machine Learning Engineer

New York, NY

Deep knowledge of math, probability, statistics and algorithms * Ability to write robust code in ... BSc in Computer Science, Mathematics or similar field; Master's degree is a plus

Amazon

Machine Learning Engineer, CreativeX

New York, NY · On-site

... computer vision, and related methods. Our mission is to provide engaging, dynamically optimized creatives with low latencies both on and off Amazon for self-service brand advertisers We automate the ...

Treeswift Inc

Machine Learning Engineer

New York, NY · On-site

Experience with image processing techniques and computer vision fundamentals. * Experience with one ... Experience with deep learning training frameworks such as MLflow, Lightning, Weights and Biases, or ...

Treeswift Inc

Machine Learning Engineer

Manhattan, NY

Experience with image processing techniques and computer vision fundamentals. * Experience with one ... Experience with deep learning training frameworks such as MLflow, Lightning, Weights and Biases, or ...

Amazon

Machine Learning Engineer, CreativeX

New York, NY · On-site

... computer vision, and related methods. Our mission is to provide engaging, dynamically optimized creatives with low latencies both on and off Amazon for self-service brand advertisers We automate the ...

ONETRACK.AI

Sales - Build Your Own Role

New York, NY · On-site

Founded in 2017, OneTrack combines computer vision, deep learning, and low-cost edge sensors to give operations leaders real-time visibility, safety enforcement, and AI-powered automation across ...

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All JobsContract Computer Vision Deep Learning Engineer JobsContract Computer Vision Deep Learning Engineer Jobs in Syosset, NY

Contract Computer Vision Deep Learning Engineer information

See Syosset, NY salary details

$50.7K

$126.9K

$143.6K

How much do contract computer vision deep learning engineer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for contract computer vision deep learning engineer in Syosset, NY is $126,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $137,400.00 per year, depending on experience, location, and employer.
What cities near Syosset, NY are hiring for Contract Computer Vision Deep Learning Engineer jobs? Cities near Syosset, NY with the most Contract Computer Vision Deep Learning Engineer job openings:
Contract Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Contract Computer Vision Deep Learning Engineer job openings in Syosset, NY as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, 1% Temporary, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $126,934 per year, or $61 per hour.

Machine Learning Engineer

Quanta Search

Manhattan, NY

Other

Posted 23 days ago

Job description

Our client is a process driven investment management group consisting of a team of researchers, traders and technologists who harness and apply the power of technology and automation to identify, model and trade global financial markets. Thisdivision offers an array of quantitative investment fund products to its clients.
They are seeking candidates with exceptional academic credentials to join theirteam and participate in and support of the firm's efforts in the research, trading and production processes.
They look for candidates who are eager to make an impact by doing real, hands-on research and development. Candidates must possess exceptional knowledge of mathematical and statistical methods as well as a proven ability to solve complex problems. A desire to work with large data sets and apply creative thinking is required. Successful candidates will also have deep interest in learning about trading and the financial markets.
They offera supportive environment that fosters independent thought in a collegial, results oriented, work setting. Researchers and developers there are passionate about their work, model building, data and technology.
You are curious and intellectually driven to succeed. You'll beprovidedwith the tools, resources and training required to satisfy that curiosity and passion, leading them to new insights and discoveries. Theirprocess driven approach enables these insights to be thoroughly tested in a systematic fashion and ultimately, if confirmed, integrated into theportfolio.
Role:
Machine Learning Engineers build production grade machine learning algorithms that operate in real time or at scale. They have a very deep understanding of machine learning algorithms and cloud computing. Machine Learning Engineers should be comfortable with data engineering and should have an interest in the data science.
What they will do:
They will be responsible for their production grade signal generation and ML systems. They can act as data scientists, but should be comfortable pushing their algorithms, models, and signals into production.
Minimum Requirements:
  • Strong understanding of statistical analysis and computational modelling.
  • Strong understanding of algorithms and data structures.
  • Familiar with map reduce and big data processing (Spark, Hadoop, DataFlow, etc).
  • TensorFlow (or another GPU integrated deep learning library).
  • Deep understanding of machine learning algorithms.
  • Deep understanding of numerical optimization.
  • Strong understanding of data structures and algorithms.
Plus, but not required:
  • Previous experience in tech industry (GOOG, AMZN, FB, NFLX, Spotify, etc).
  • Experience building industrial grade ETL pipelines.
  • Experience building frontend systems.
  • Familiarity with dashboards and other visualization tools.
  • Ability to derive generalization bounds for common ML algorithms.
  • Experience developing new machine learning algorithms.

Apply