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Remote Machine Learning Software Engineer Jobs in Queens, NY

Etsy

Software Engineer II, Machine Learning

Brooklyn, NY · On-site +1

$153K - $199K/yr

We are looking for a Software Engineer to join the ML Training Data team. You will build and scale the infrastructure to help machine learning teams generate training datasets. Your work will support ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

This person will implement and develop machine learning models to enhance our platform ... Work closely with software engineers, data scientists, and product managers to integrate ML models ...

Akasa, Inc

Sr. Software Engineer, Backend

New York, NY · On-site +1

$120/hr

You will work closely with the product, design, and machine learning teams to design and build ... Software engineering experience in Python is required * Proven track record with SaaS products

Headspace

Staff Machine Learning Engineer

New York, NY · On-site +1

$179K - $224K/yr

Partner with our team of software engineers,ML engineers, and MLOps engineers, and our Product ... City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US ...

Mercor

Machine Learning Engineer

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... software workflows. Write accurate, well-documented solutions that serve as ground truth.

Shaped

Senior Software Engineer (Cloud)

Brooklyn, NY · On-site +1

$100K - $150K/yr

Ultimately, our goal is to make AI accessible and we see machine-learning for discovery (e.g ... We're remote but have an office in Brooklyn, New York. We are looking for a software engineer with ...

Career Renew

Senior Machine Learning Engineer

New York, NY · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... Knowledge of software engineering best practices including version control (Git) and CI/CD ...

Aquatic Capital Management

Software Engineer

New York, NY · On-site +1

$220K - $230K/yr

Software Engineer New York Responsibilities: Build production trading systems and create automated ... and machine learning algorithms Must live within normal commuting distance of worksite. Remote ...

Mercor

Senior Machine Learning Engineer

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... software workflows. Write accurate, well-documented solutions that serve as ground truth.

Autodesk

Senior Machine Learning Test Engineer

New York, NY · On-site +1

$120K - $157K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Your skills span test strategy, automation, and a little MLOps, with a strong software engineering ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their ...

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All JobsMachine Learning Software Engineer JobsRemote Machine Learning Software Engineer JobsRemote Machine Learning Software Engineer Jobs in Queens, NY

Remote Machine Learning Software Engineer information

See Queens, NY salary details

$66.3K

$153.9K

$214.4K

How much do remote machine learning software engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for remote machine learning software engineer in Queens, NY is $153,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,200.00 and $180,500.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning software engineers with extensive experience, advanced skills in deep learning, and proficiency in tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-demand industries or companies. Achieving this salary often requires a strong educational background, specialized certifications, and a track record of successful projects or leadership roles.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and while AI automation tools can handle certain tasks, MLEs are essential for creating complex, customized solutions and maintaining AI systems. The role is expected to evolve with advancements in AI, but human expertise remains critical for innovation and ethical considerations.

What engineer makes $500,000 a year?

Senior machine learning software engineers with extensive experience, specialized skills, and advanced knowledge of AI frameworks can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise in developing complex models and deploying scalable AI solutions.

What is the difference between Remote Machine Learning Software Engineer vs Remote Data Scientist?

AspectRemote Machine Learning Software EngineerRemote Data Scientist
Required CredentialsBachelor's or higher in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDeveloping ML models, coding, deploying algorithmsAnalyzing data, building models, interpreting results
Industry UsageTech, finance, healthcare, e-commerceTech, finance, healthcare, research institutions

While both roles involve working with data and algorithms, Remote Machine Learning Software Engineers focus on developing and deploying machine learning models through coding, whereas Remote Data Scientists analyze data to extract insights and build statistical models. Both roles often collaborate but serve different primary functions within organizations.

Can ML engineers work remotely?

Yes, remote work is common for machine learning engineers, especially as many companies adopt flexible work arrangements. ML engineers often collaborate using cloud platforms, version control, and communication tools, making remote work feasible with the right skills and environment.
What are popular job titles related to Remote Machine Learning Software Engineer jobs in Queens, NY? For Remote Machine Learning Software Engineer jobs in Queens, NY, the most frequently searched job titles are:
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What cities near Queens, NY are hiring for Remote Machine Learning Software Engineer jobs? Cities near Queens, NY with the most Remote Machine Learning Software Engineer job openings:
Remote Machine Learning Software Engineer jobs near you
Software Engineer, Machine Learning RecSys

Software Engineer, Machine Learning RecSys

Meta

New York, NY • On-site, Remote

$154K/yr

Full-time

Posted 11 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

131st of 205 rated software companies

Job description

Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products, with the mission of connecting billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team and working on exciting projects that have a significant impact, we encourage you to apply.
Software Engineer, Machine Learning RecSys Responsibilities:
  • Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences.
  • Implement custom user interfaces using latest programming techniques and technologies.
  • Develop reusable software components for interfacing with back-end platforms.
  • Analyze and optimize code for quality, efficiency, and performance.
  • Lead complex technical or product efforts and provide technical guidance to peers.
  • Architect efficient and scalable systems that drive complex applications.
  • Identify and resolve performance and scalability issues.
  • Work on a variety of coding languages and technologies.
  • Establish ownership of components, features, or systems with expert end-to-end understanding.

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 2+ years of programming experience in a relevant programming language
  • 1+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, llms or artificial intelligence
  • Experience with scripting languages such as Python, Javascript or Hack
  • Experience with developing machine learning models at scale from inception to business impact
  • Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
  • Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
  • Proven experience designing, building, or deploying recommendation systems (e.g., collaborative filtering, content-based, hybrid approaches, personalization at scale)
  • Experience building and shipping high quality work and achieving high reliability
  • Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes

Preferred Qualifications:
  • Masters degree or PhD in Computer Science or another ML-related field
  • Exposure to architectural patterns of large scale software applications
  • Experience with scripting languages such as Pytorch and TensorFlow
  • Publications in top-tier conferences/journals, patents, or open-source contributions in the recommendations or LLM space
  • Hands-on experience working with large language models (LLMs), such as BERT, GPT, or similar architectures, including fine-tuning, integration, or application in production environments
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$154,003/year to $217,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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