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Machine Learning Startup Jobs in New York (NOW HIRING)

They are seeking Machine Learning Engineers to contribute to their platform for training ... Preferred : • Open-source ML infra contributions. • Startup or frontier lab experience in fast ...

Bonus: * strong open-source portfolio * publications at top-tier ML venues * experience working in an early-stage startup environment * understanding of how machine learning models fail in the wild ...

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 ...

... 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 ...

Senior Machine Learning Engineer

Manhattan, NY · On-site +1

$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 ...

Machine Learning Engineer

Manhattan, NY · On-site +1

$180K - $280K/yr

As a Machine Learning Engineer at Finch, you'll own the full lifecycle of AI systems, from ... Prior work at an early-stage startup where you helped define ML infrastructure from scratch.

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 ...

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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 Jun 12, 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 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 Engineer

HeyMilo AI

Manhattan, NY

Other

Posted 18 days ago


Job description

About the job Machine Learning Engineer
Job Title: Machine Learning Engineer
Company: HeyMilo AI
Location: New York, NY, USA
Contract Details: Full-time
HeyMilo AI is a fast-growing startup based in New York City that specializes in developing cutting-edge artificial intelligence solutions for various industries. We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team.
As a Machine Learning Engineer at HeyMilo AI, you will be responsible for designing, developing, and deploying machine learning models and algorithms to solve complex business problems. You will work closely with our data scientists, software engineers, and product managers to understand business requirements and develop solutions that meet our clients' needs.
Key Responsibilities:
- Design and implement machine learning models and algorithms to solve business problems
- Collaborate with data scientists to gather and preprocess data for model training and evaluation
- Develop and maintain data pipelines and infrastructure for efficient data processing and model deployment
- Conduct experiments and perform data analysis to evaluate model performance and identify areas for improvement
- Keep up-to-date with the latest advancements in machine learning and apply them to improve our products and services
- Work closely with cross-functional teams to integrate machine learning solutions into our products and services
- Communicate complex technical concepts to non-technical stakeholders and provide support and guidance to other team members
Qualifications:
- Bachelor's or Master's degree in Computer Science, Mathematics, or a related field
- Minimum of 3 years of experience in developing machine learning models and algorithms
- Strong programming skills in Python, and experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
- Experience with software engineering best practices, including version control, testing, and code review
- Solid understanding of machine learning concepts and techniques, such as supervised and unsupervised learning, deep learning, and reinforcement learning
- Experience with data preprocessing and feature engineering techniques
- Strong problem-solving skills and ability to think creatively to come up with innovative solutions
- Excellent communication and teamwork skills
- Experience with cloud computing platforms, such as AWS or Google Cloud, is a plus
- Experience with natural language processing (NLP) and computer vision is a plus
At HeyMilo AI, we value diversity and inclusivity and are committed to creating a positive and collaborative work environment. We offer competitive salaries, comprehensive benefits, and opportunities for growth and development.
If you are passionate about using machine learning to solve real-world problems and want to be a part of a dynamic and innovative team, we want to hear from you! Apply now to join our team as a Machine Learning Engineer and help us shape the future of AI.