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Machine Learning Startup Jobs in New York (NOW HIRING)

exacare ai

Machine Learning Engineer

Manhattan, NY · On-site

They are seeking a Machine Learning Engineer focused on MLOps to operationalize and scale their ... moving, startup-style environment with a high degree of ownership Company : Exacare ai is the ...

exacare ai

Machine Learning Engineer

New York, NY · On-site

About the Role We are looking for a Machine Learning Engineer, MLOps to help operationalize and ... Great startup culture, including company off-sites * High-achieving team, including ex-Amazon ...

SageSure

Senior Machine Learning Engineer

Jersey City, NJ

$127K - $168K/yr

... of a startup, we're hiring. SageSure, a leader in catastrophe-exposed property insurance, is ... As a Senior Machine Learning Engineer, you'll play a crucial role in optimizing orchestration ...

Chasm Select

Senior Machine Learning Engineer

Manhattan, NY · On-site

$150K - $180K/yr

Description ChasmTeam Senior Machine Learning Engineer at JudiHealth Location: Remote (For Non ... Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that ...

exacare ai

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

About the Role We are looking for a Senior Machine Learning Engineer, MLOps to help operationalize ... Great startup culture, including company off-sites * High-achieving team, including ex-Amazon ...

FINNY

Machine Learning Engineer

Manhattan, NY · On-site

The Machine Learning Engineer will own the models that power various features across the product ... Startup experience. • You care deeply about how models learn, not just how pipelines run. • You ...

WireScreen

Machine Learning Engineer

New York, NY · On-site

$150K - $195K/yr

WireScreen is a fast-growing Series A startup bringing clarity to one of the world's most complex ... As a Machine Learning Engineer at WireScreen, you will be working across our data systems to unlock ...

Attentive

Senior Machine Learning Engineer

New York, NY · On-site

$244K - $320K/yr

Thrive in a high-impact, fast-paced, late-stage startup environment Your Expertise * 6+ years of professional experience building production machine-learning software systems * Proven experience ...

Clearview AI

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

Senior Machine Learning Engineer Department: Engineering Employment Type: Full Time Location: New ... Our company is a high-octane, fast growing startup looking to hire enthusiastic and intelligent ...

SageSure

Senior Machine Learning Engineer

Jersey City, NJ · On-site

$127K - $168K/yr

... of a startup, we're hiring. SageSure, a leader in catastrophe-exposed property insurance, is ... As a Senior Machine Learning Engineer, you'll play a crucial role in optimizing orchestration ...

Phia

Senior Machine Learning Engineer

New York, NY · On-site

$185K - $265K/yr

Phia is a lean, high-ownership team building at startup speed. If you want to ship at high velocity ... Own the end-to-end machine learning lifecycle, including data analysis, feature engineering, model ...

Verneek

Machine Learning Engineer

New York, NY · On-site

$40K - $200K/yr

This is an early-stage startup, so we'll be moving super-fast and there will be no legacy obstacles ... machine learning frameworks such as PyTorch * Demonstrated AI/NLP engineering skillset through ...

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Machine Learning Startup information

See New York salary details

$27.9K

$46.6K

$96.3K

How much do machine learning startup jobs pay per year?

As of Jul 11, 2026, the average yearly pay for machine learning startup in New York is $46,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,600.00 and $50,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Startup position, and why are they important?

To succeed in a Machine Learning Startup, a strong background in computer science, statistics, and applied mathematics is essential, along with practical experience building and deploying machine learning models. Proficiency in tools such as Python, TensorFlow, PyTorch, and cloud-based platforms, as well as familiarity with data versioning and model deployment systems, is highly valuable. Adaptability, entrepreneurial thinking, and strong communication skills are crucial for thriving in the dynamic startup environment. These competencies enable effective product development, rapid iteration, and impactful collaboration within a fast-paced, resource-constrained setting.

What are the typical responsibilities and daily challenges when working at a Machine Learning Startup?

At a Machine Learning Startup, your daily tasks often include collecting and preprocessing data, training and validating models, collaborating with engineers to deploy solutions, and iterating rapidly based on feedback and performance metrics. You may also contribute to brainstorming sessions, product roadmapping, and customer discovery processes. Common challenges include working with limited labeled data, balancing research with production needs, and managing shifting priorities as the business pivots or scales. This dynamic environment provides a valuable opportunity to make a tangible impact, develop a broad skill set, and gain exposure to multiple aspects of both technology and entrepreneurship.

What is a Machine Learning Startup job?

A Machine Learning Startup job typically involves working in a fast-paced, early-stage company focused on developing and applying machine learning technologies. Employees may take on diverse responsibilities, including data collection, model development, algorithm optimization, and deployment. Since startups require adaptability, roles often blend research, engineering, and business-oriented problem-solving. These positions offer opportunities to work on cutting-edge innovations but may also demand long hours and rapid prototyping.

What are the most commonly searched types of Machine Learning Startup jobs in New York? The most popular types of Machine Learning Startup jobs in New York are:
What are popular job titles related to Machine Learning Startup jobs in New York? For Machine Learning Startup jobs in New York, the most frequently searched job titles are:
What job categories do people searching Machine Learning Startup jobs in New York look for? The top searched job categories for Machine Learning Startup jobs in New York are:
What cities in New York are hiring for Machine Learning Startup jobs? Cities in New York with the most Machine Learning Startup job openings:
Machine Learning Startup jobs near you
Infographic showing various Machine Learning Startup job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $46,588 per year, or $22.4 per hour.

Machine Learning Engineer

exacare ai

Manhattan, NY • On-site

Full-time

Posted 15 days ago

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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