ZipRecruiter

Log In

1

Commission Machine Learning Startup Jobs in New York

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 ...

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 · 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

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

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 ...

Good Inside

Machine Learning Engineer

New York, NY · On-site

$205K - $235K/yr

You'll work at the intersection of backend systems and machine learning, building the ... Startup Growth Experience: This isn't your first time helping a high-growth startup scale. You are ...

Orita

Senior Machine Learning Engineer

New York, NY · On-site +1

$180K - $250K/yr

The Role As a Senior Machine Learning Engineer at Orita, you will: * Build and Productionize Models ... Experience in a fast-paced or startup environment. * You live in or near New York City. Most of us ...

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 ...

Capgemini

Machine Learning Engineer

New York, NY · On-site

... and Machine Learning ML including proficiency with current industry trends and methodologies ... Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered ...

next page

Showing results 1-20

All JobsMachine Learning Startup JobsCommission Machine Learning Startup JobsCommission Machine Learning Startup Jobs in New York

Commission Machine Learning Startup information

What is the difference between Commission Machine Learning Startup vs Data Scientist?

AspectCommission Machine Learning StartupData Scientist
CredentialsDegree in Computer Science, Data Science, or related fields; experience with ML modelsDegree in Computer Science, Statistics, or related fields; proficiency in programming and data analysis
Work EnvironmentStartup setting, fast-paced, innovative projects, often remote or flexibleCorporate or research environment, collaborative teams, often office-based
Industry UsageTech startups, AI-focused companies, innovative product developmentTech firms, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding roles in ML startups, freelance or commission-based opportunitiesCareer development, skill requirements, industry roles

Commission Machine Learning Startup roles focus on developing ML solutions within startup environments, often with flexible or freelance arrangements. Data Scientists typically work in established companies, applying statistical and programming skills to analyze data. Both roles require similar credentials but differ in work setting and industry focus.

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 cities in New York are hiring for Commission Machine Learning Startup jobs? Cities in New York with the most Commission Machine Learning Startup job openings:
Commission 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

Re-posted 17 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