ZipRecruiter

Log In

1

Machine Learning Startup Jobs in New York (NOW HIRING)

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 ...

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 ...

Teleskope

Machine Learning Engineer

New York, NY · On-site

$160K - $210K/yr

About the role We are seeking a Machine Learning Engineer to strengthen our element classification ... What you'll get: * A high-impact role at an early-stage startup in a fast-growing market.

Verneek

Machine Learning Engineer

New York, NY

$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 ...

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 ...

Verneek

Machine Learning Engineer

Manhattan, NY

$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 ...

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 ...

Teleskope

Machine Learning Engineer

Manhattan, NY · Hybrid

$115K - $158K/yr

Senior Machine Learning Engineer Teleskope is redefining data security for the AI era with the only ... What You'll Get: * A high-impact role at an early-stage startup in a fast-growing market.

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 ...

next page

Showing results 1-20

All JobsMachine Learning Startup JobsMachine Learning Startup Jobs in New York

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 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
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Phia

New York, NY • On-site

$185K - $265K/yr

Full-time

Posted 15 days ago

Job description

Overview
As a Senior Machine Learning Engineer at Phia, you'll build and scale production ML systems that power core product experiences and decision-making. You'll work across the full ML stack, from data and modeling to deployment and iteration, on problems like ranking, personalization, and optimization. This role sits at the intersection of machine learning, product engineering, and data platforms, with ownership over systems that directly impact growth and user experience. You'll ship models to production, run experiments at speed, and help define how machine learning is done as Phia scales.
About Phia
Phia has raised $43M from Notable Capital, Khosla Ventures, and Kleiner Perkins, with backing from founders and operators like Vlad Tenev (Robinhood), Mellody Hobson (Ariel Investments), Naomi Gleit (Meta), and Mati Staniszewski (ElevenLabs), plus a roster of cultural leaders, to build the AI alignment layer for commerce. In just over a year, Phia's consumer shopping agent has surpassed 1.5 million users and partnered with 9,600+ retail brands across contemporary, resale, and luxury, representing billions in annual gross merchandise volume. We scan more than 350 million products to help shoppers find the right pieces at the best price, cutting return rates by 50%, and we're on pace for nine-figure sales growth this year.
In an era where AI vertical agents are reshaping every industry, commerce is on the verge of a complete transformation. Phia is reinventing shopping from a fragmented, impersonal experience into one that feels intelligent, trusted, and built around each user's intent. This foundation of trust is our wedge to become the end-to-end shopping destination for the next generation of buyers.
Phia is a lean, high-ownership team building at startup speed. If you want to ship at high velocity and solve complex problems in consumer AI and commerce, this is the place to do it.
What You Own
  • Design, develop, and deploy production machine learning models that power core product experiences and decision-making systems
  • Own the end-to-end machine learning lifecycle, including data analysis, feature engineering, model training, evaluation, deployment, and monitoring
  • Partner closely with Product, Engineering, Data, and Operations to translate product requirements and business goals into scalable ML solutions
  • Develop experimentation frameworks and causal measurement strategies to evaluate model impact and inform product decisions
  • Build and maintain forecasting, ranking, personalization, or optimization systems operating at scale
  • Drive improvements to model performance, reliability, and scalability in production environments
  • Contribute to the ML platform and infrastructure, improving tooling for training, experimentation, and monitoring
  • Influence technical direction through design reviews, code reviews, and mentorship of other engineers
Qualifications
  • 3+ years of industry experience building and deploying machine learning systems in production
  • Strong proficiency in Python and experience with common ML frameworks and libraries (e.g., PyTorch, TensorFlow, XGBoost, LightGBM, scikit-learn)
  • Experience owning the full ML lifecycle, from data exploration to production deployment and iteration
  • Experience working with large-scale, real-world datasets and noisy or incomplete data
  • Solid understanding of experiment design and causal inference, including A/B testing and offline evaluation
  • Ability to collaborate effectively with cross-functional partners and communicate technical concepts clearly
  • Bachelor's degree in Computer Science, Engineering, Statistics, or a related field, or equivalent practical experience

Apply