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Research Assistant Machine Learning Jobs in Flushing, NY

exacare ai

Machine Learning Engineer

Manhattan, NY · On-site

They are seeking a Machine Learning Engineer focused on MLOps to operationalize and scale their machine learning systems, working closely with research-oriented teammates to create reliable ...

ExaCare AI

Machine Learning Engineer

Manhattan, NY · On-site

$110 - $150/hr

Research, design, and implement novel machine learning solutions using modern architectures to tackle complex business problems. * Rapid Prototyping & Iteration: Build and manage efficient pipelines ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

Research and Innovation: Stay up-to-date with the latest developments in machine learning and AI, and explore new techniques and technologies that could benefit Hang. * Technical Leadership: Provide ...

PhysicsX

Machine Learning Engineer

New York, NY · On-site

With at least 2 years industry experience (post Masters or PhD) in a commercial, non-research ... This Role As a Machine Learning Engineer, you'll work closely with our Data Scientists, Simulation ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading ... Your work will also focus on enhancing research workflows to tighten our feedback cycles.

Neutral Street

Machine Learning Engineer

Manhattan, NY · On-site

$120 - $180/hr

Bridge the gap between research and production by building scalable machine learning pipelines and optimizing model inference engines. Responsibilities * Optimize inference engines for sub ...

Qualcomm

Machine Learning Compiler

New York, NY · On-site

$140K - $211K/yr

Principal Duties and Responsibilities: • Applies Machine Learning knowledge to assist in extending training or runtime frameworks or model efficiency software tools with new features and ...

Extend

Machine Learning Researcher

New York, NY · On-site

$200K - $350K/yr

As a Machine Learning Engineer at Extend, you'll be responsible for building state-of-the-art ... in AI research, push for real-world customer impact (not only theory), and are excited about ...

Spgi

Machine Learning Engineer

New York, NY · On-site +1

$209K - $250K/yr

Machine Learning Engineer Location: 55 Water Street, New York, NY 10041 (Telecommuting permitted ... Conduct original research and data analysis on large proprietary and open-source data sets to ...

Amazon

Applied Scientist III - AMZ10165497

New York, NY · On-site

$183K - $248K/yr

... Machine Learning, Engineering, or a related field and two years of research or work experience in the job offered, or as a Research Scientist, Research Assistant, Software Engineer, or a related ...

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Research Assistant Machine Learning information

See Flushing, NY salary details

$8

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How much do research assistant machine learning jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for research assistant machine learning in Flushing, NY is $22.86, according to ZipRecruiter salary data. Most workers in this role earn between $19.33 and $26.59 per hour, depending on experience, location, and employer.

What is a research assistant machine learning?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a research assistant machine learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

What are the key skills and qualifications needed to thrive as a research assistant machine learning?

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

What cities near Flushing, NY are hiring for Research Assistant Machine Learning jobs? Cities near Flushing, NY with the most Research Assistant Machine Learning job openings:
Research Assistant Machine Learning jobs near you
Infographic showing various Research Assistant Machine Learning job openings in Flushing, NY as of August 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 100% In-person job distribution, with an average salary of $47,544 per year, or $22.9 per hour.

Machine Learning Engineer

exacare ai

Manhattan, NY • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
ExaCare AI is a leading health tech company aiming to build the AI operating system for post-acute care. They are seeking a Machine Learning Engineer focused on MLOps to operationalize and scale their machine learning systems, working closely with research-oriented teammates to create reliable production systems.
Responsibilities:
• Build and maintain the workflows and infrastructure that support the end-to-end ML lifecycle
• Partner with researchers and ML practitioners to productionize models and enable faster iteration
• Design, build, and improve data pipelines and training pipelines
• Improve data processing, annotation workflows, and ML system efficiency
• Deploy and maintain the background systems that support model training and inference
• Build tooling and processes for monitoring model performance, system reliability, and operational health
• Improve the scalability, observability, and reproducibility of ML systems
• Optimize ML infrastructure for speed, reliability, and cost-efficiency
• Identify bottlenecks in the ML workflow and automate or streamline manual processes
• Help establish best practices around ML operations, deployment, and system performance
Qualifications:
Required:
• Proven (3+ years) of experience in machine learning engineering, MLOps, ML infrastructure, data engineering, or backend/platform engineering in ML environments
• Experience supporting ML systems end to end, from model handoff through deployment and monitoring
• Strong experience building and owning data pipelines, training pipelines, or other production workflows that support ML
• Experience working closely with researchers, data scientists, or ML practitioners to productionize models
• Strong software engineering fundamentals and experience building production systems
• Experience with monitoring, debugging, and improving production ML or data systems
• A track record of improving reliability, scalability, speed, and/or cost efficiency in ML systems
• Comfort operating in a fast-moving, startup-style environment with a high degree of ownership
Company:
Exacare ai is the leading AI platform for post-acute care, helping teams accelerate admissions decisions and maximize reimbursement Founded in 2022, the company is headquartered in New York, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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