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Hourly Embedded Machine Learning Jobs in Hempstead, NY

Fox

Machine Learning Engineer I

New York, NY · Hybrid

$74K - $130K/yr

Rotate across two ML-focused teams embedded within operating business units * Build, train, evaluate, and deploy production machine learning models * Work with large-scale, real-world datasets and ...

PROPRIUS

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

Expert level coding skills (Python, C++ at minimum) * 3+ years' experience working with machine learning in embedded applications: model quantization, fixed point neural networks (CNN and RNN)

Meta

Product Manager, Machine Learning

New York, NY

$173K/yr

Product Manager, Machine Learning Responsibilities: * Display strong leadership, organizational and ... Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual ...

Distributed Spectrum Inc

Embedded Engineer

New York, NY · On-site

$150K - $220K/yr

Design, develop, test, and deploy performant and robust software on embedded and edge compute ... Familiarity with the fundamentals of signal processing, machine learning, computer vision, or ...

CVS Health

Senior Machine Learning Engineer

New York, NY · On-site

$111K - $222K/yr

We're looking for a Senior Machine Learning Engineer to help build and scale the next generation of ... hourly rate or base annual full-time salary for all positions in the job grade within which this ...

Meta

Software Engineer, Machine Learning

New York, NY

$183K/yr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ... Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual ...

Carlyle

AlpInvest Embedded Data Scientist

New York, NY · On-site +1

$180K - $200K/yr

Join our dynamic Investment Data Science Team as an Embedded Data Scientist to partner directly ... The ideal candidate can move seamlessly between developing machine learning models and engaging ...

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All JobsHourly Embedded Machine Learning JobsHourly Embedded Machine Learning Jobs in Hempstead, NY

Hourly Embedded Machine Learning information

See Hempstead, NY salary details

$72.8K

$159.5K

$180.9K

How much do hourly embedded machine learning jobs pay per year?

As of Aug 6, 2026, the average yearly pay for hourly embedded machine learning in Hempstead, NY is $159,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,800.00 and $179,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an hourly embedded machine learning engineer, and why are they important?

To thrive as an Hourly Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with tools such as TensorFlow Lite, embedded Linux, microcontroller development environments, and model optimization frameworks is typically required. Strong problem-solving skills, adaptability, and effective communication help you address complex technical challenges and collaborate with cross-functional teams. These skills are crucial for designing efficient, real-time ML solutions that operate reliably on resource-constrained embedded devices.

How does an hourly embedded machine learning professional typically collaborate with hardware and software teams during a project?

As an Hourly Embedded Machine Learning professional, you will often work closely with both hardware and software engineering teams to ensure that machine learning models are efficiently integrated into embedded systems. This typically involves frequent communication to align on hardware constraints, such as memory and processing power, and to optimize algorithms for real-time performance. You may also participate in joint debugging sessions and code reviews to address integration issues and streamline deployment. Collaboration is key, as successful projects depend on the seamless interaction between machine learning solutions and the embedded hardware platform.

What is an hourly embedded machine learning engineer?

An Hourly Embedded Machine Learning engineer is a professional who specializes in developing and deploying machine learning models on embedded systems, such as microcontrollers, IoT devices, or edge devices, and is compensated on an hourly basis rather than a salaried or project-based arrangement. These engineers work to optimize algorithms so they can run efficiently on devices with limited computing power, memory, and energy resources. Their responsibilities often include model selection, quantization, optimization, and integration of machine learning pipelines into hardware. Hiring on an hourly basis allows for flexibility in project scope and duration, making it ideal for companies with specific, time-limited needs. They often collaborate with hardware engineers, data scientists, and software developers to create intelligent embedded solutions.

What is the difference between Hourly Embedded Machine Learning vs Hourly Data Scientist?

AspectHourly Embedded Machine LearningHourly Data Scientist
CredentialsKnowledge of embedded systems, programming, ML algorithmsDegree in Data Science, Statistics, or related field
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsData analysis, modeling, visualization in office or cloud
Industry UsageConsumer electronics, automotive, IoT devicesFinance, healthcare, marketing, research

Hourly Embedded Machine Learning specialists focus on integrating ML models into embedded systems and hardware, often working with IoT devices and real-time constraints. In contrast, Hourly Data Scientists analyze large datasets to develop predictive models primarily in cloud or office environments. While both roles require programming skills, embedded ML emphasizes hardware integration, whereas data science centers on data analysis and visualization.

What are popular job titles related to Hourly Embedded Machine Learning jobs in Hempstead, NY? For Hourly Embedded Machine Learning jobs in Hempstead, NY, the most frequently searched job titles are:
What job categories do people searching Hourly Embedded Machine Learning jobs in Hempstead, NY look for? The top searched job categories for Hourly Embedded Machine Learning jobs in Hempstead, NY are:
What cities near Hempstead, NY are hiring for Hourly Embedded Machine Learning jobs? Cities near Hempstead, NY with the most Hourly Embedded Machine Learning job openings:
Hourly Embedded Machine Learning jobs near you
Infographic showing various Hourly Embedded Machine Learning job openings in Hempstead, NY as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $159,507 per year, or $76.7 per hour.

Machine Learning Engineer I

Fox

New York, NY • Hybrid

$74K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

Job description

OVERVIEW OF THE COMPANY

JOB DESCRIPTION

FOX Forward Deployed is an 12-month rotational program that embeds early-career machine learning engineers inside the teams powering FOX's biggest, most-watched moments.
You will complete two six-month deployments across AI-focused teams supporting streaming, sports, news, monetization, and enterprise data systems. You will contribute directly to production ML systems used at national scale.
This is not a research sandbox. Models must ship. Systems must scale.
You Build It. America Sees It.


ABOUT THE ROLE
As a Machine Learning Engineer in FOX Forward Deployed, you will rotate across two ML-focused teams embedded within core business units across Streaming, Sports, News, FOX One, and platform organizations. You will build, deploy, and monitor models operating inside live production systems.
From sports video intelligence and newsroom AI to ranking, retrieval, and monetization systems, you will work in high-visibility environments where model quality, latency, reliability, and deployment speed directly impact user experience and business performance.
You will operate in an AI-native environment leveraging platforms such as AWS SageMaker and Bedrock, Google Vertex AI, Databricks, Snowflake, ChatGPT, and Claude to accelerate experimentation and production delivery.


A SNAPSHOT OF YOUR RESPONSIBILITIES

  • Rotate across two ML-focused teams embedded within operating business units
  • Build, train, evaluate, and deploy production machine learning models
  • Work with large-scale, real-world datasets and live data streams
  • Integrate models into consumer-facing and enterprise systems
  • Monitor performance, detect drift, and iterate based on measurable outcomes
  • Operate under real constraints around latency, reliability, and scale

WHAT YOU COULD BUILD

  • Video Intelligence at Broadcast Scale: Develop computer vision systems that analyze live sports and news feeds, detect key moments, and generate AI-powered highlights and metadata used across FOX platforms.
  • Search, Ranking, and Retrieval Systems: Train and optimize recommendation and ranking models that determine what millions of viewers see across FOX properties.
  • Monetization Optimization Systems: Deploy predictive models that improve ad relevance, yield optimization, and engagement across streaming products.
  • Enterprise Data and AI Infrastructure: Contribute to ML pipelines and platform infrastructure that support retrieval, embeddings, and applied AI systems across consumer and enterprise applications.

WHAT YOU WILL NEED

  • Strong foundations in machine learning, statistics, or applied data science
  • Experience building and evaluating models through coursework, research, projects, internships
  • Proficiency in Python and common ML frameworks
  • Demonstrated use of AI-assisted tools to accelerate ML workflows
  • Ability to explain how you validated model quality using metrics, bias checks, reproducibility controls.
  • Curiosity about how models behave in production environments
  • Bias toward experimentation and measurable outcomes
  • Regular, on-site attendance at the workplace a minimum of 3 days per week is an essential function of the position. Selected candidate must be able to reliably meet this requirement.
  • FOX Forward Deployed is intentionally small and selective. Participants are expected to operate as contributing ML engineers from day one.


HOW WE EVALUATE BUILDERS
We evaluate builders by what they've shipped.
You will be asked to:

  • Share one ML artifact such as repository, demo, or paper
  • Explain the problem the model solved
  • Describe the evaluation metrics you chose and why
  • Detail one real constraint or tradeoff
  • Explain how you used AI tools and how you verified their outputs

NICE TO HAVE, BUT NOT A DEALBREAKER

  • Experience deploying models into production systems
  • Exposure to recommendation systems, ranking, or personalization
  • Familiarity with data pipelines or distributed systems

#DTC

#Ll-KD1

#Ll-Hybrid

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $74,000.00-130,000.00 annually. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.

View more detail about FOX Benefits.

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