Machine Learning Engineer
New York, NY · On-site
Partner with ML engineers, product managers, data scientists, and software engineers to align ML ... machine learning modeling or related fields * Experience with deep learning technologies for ...
Machine Learning Engineer
New York, NY · On-site
Partner with ML engineers, product managers, data scientists, and software engineers to align ML ... machine learning modeling or related fields * Experience with deep learning technologies for ...
Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... data. The interview process follows the same structure as our Software Engineering Intern ...
Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... data. The interview process follows the same structure as our Software Engineering Intern ...
Machine Learning Engineer
New York, NY · On-site
Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... data. The interview process follows the same structure as our Software Engineering Intern ...
Machine Learning Engineer
New York, NY · On-site
Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... data. The interview process follows the same structure as our Software Engineering Intern ...
This is not just a data science research role -- the candidate needs to be able to build models and ... Supervised and/or unsupervised machine learning algorithms * Neural networks * Natural Language ...
Quick apply
This is not just a data science research role -- the candidate needs to be able to build models and ... Supervised and/or unsupervised machine learning algorithms * Neural networks * Natural Language ...
Machine Learning Engineer
Manhattan, NY · On-site
Machine Learning Engineer ExaCare Inc - New York, New York, United States About this position ... Experience working closely with researchers, data scientists, or ML practitioners to productionize ...
Machine Learning Engineer
Manhattan, NY · On-site
Machine Learning Engineer ExaCare Inc - New York, New York, United States About this position ... Experience working closely with researchers, data scientists, or ML practitioners to productionize ...
Machine Learning Engineer
$130K - $170K/yr
Role Summary We are seeking a Machine Learning Engineer who brings the analytical rigor of a data scientist and the engineering discipline of a software architect. In support of Colgate-Palmolive ...
Machine Learning Engineer
$130K - $170K/yr
Role Summary We are seeking a Machine Learning Engineer who brings the analytical rigor of a data scientist and the engineering discipline of a software architect. In support of Colgate-Palmolive ...
Machine Learning Engineer
Manhattan, NY · On-site
$105K - $150K/yr
Overview We are seeking a Machine Learning Engineer who brings the analytical rigor of a data scientist and the engineering discipline of a software architect. In support of Colgate-Palmolive ...
Machine Learning Engineer
Manhattan, NY · On-site
$105K - $150K/yr
Overview We are seeking a Machine Learning Engineer who brings the analytical rigor of a data scientist and the engineering discipline of a software architect. In support of Colgate-Palmolive ...
Machine Learning Engineer
New York, NY · On-site
$130K - $170K/yr
Role Summary We are seeking a Machine Learning Engineer who brings the analytical rigor of a data scientist and the engineering discipline of a software architect. In support of Colgate-Palmolive ...
Machine Learning Engineer
New York, NY · On-site
$130K - $170K/yr
Role Summary We are seeking a Machine Learning Engineer who brings the analytical rigor of a data scientist and the engineering discipline of a software architect. In support of Colgate-Palmolive ...
Lead Machine Learning Engineer
New York, NY · On-site
$112K - $147K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Data Science teams * Inform your ML infrastructure decisions using your understanding of ML ...
Lead Machine Learning Engineer
New York, NY · On-site
$112K - $147K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Data Science teams * Inform your ML infrastructure decisions using your understanding of ML ...
Lead Machine Learning Engineer
Manhattan, NY · On-site
$112K - $148K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Data Science teams * Inform your ML infrastructure decisions using your understanding of ML ...
Lead Machine Learning Engineer
Manhattan, NY · On-site
$112K - $148K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Data Science teams * Inform your ML infrastructure decisions using your understanding of ML ...
Lead Machine Learning Engineer
New York, NY · On-site
$112K - $147K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Data Science teams * Inform your ML infrastructure decisions using your understanding of ML ...
Lead Machine Learning Engineer
New York, NY · On-site
$112K - $147K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Data Science teams * Inform your ML infrastructure decisions using your understanding of ML ...
This role offers the opportunity to work alongside experienced ML engineers and data scientists, gaining hands-on experience with the full machine learning lifecycle--from data preparation and model ...
This role offers the opportunity to work alongside experienced ML engineers and data scientists, gaining hands-on experience with the full machine learning lifecycle--from data preparation and model ...
Machine Learning Engineer
Manhattan, NY · On-site
We are seeking a highly adaptable, creative, and well‑rounded Machine Learning Engineer to join ... Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related technical field.
Machine Learning Engineer
Manhattan, NY · On-site
We are seeking a highly adaptable, creative, and well‑rounded Machine Learning Engineer to join ... Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related technical field.
Lead Machine Learning Engineer
New York, NY · On-site
$130K - $155K/yr
Partner with Data Science, Product, Engineering, and DevSecOps teams to deliver scalable, secure ... Hands-on experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch ...
Lead Machine Learning Engineer
New York, NY · On-site
$130K - $155K/yr
Partner with Data Science, Product, Engineering, and DevSecOps teams to deliver scalable, secure ... Hands-on experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch ...
Staff Machine Learning Engineer, Recommendations
New City, NY · Remote
$205K - $265K/yr
We are seeking a Staff Machine Learning Engineer / Data Scientist to serve as a technical anchor for our machine learning and AI capabilities. Reporting directly to the Director of Recommendation ...
Quick apply
Staff Machine Learning Engineer, Recommendations
New City, NY · Remote
$205K - $265K/yr
We are seeking a Staff Machine Learning Engineer / Data Scientist to serve as a technical anchor for our machine learning and AI capabilities. Reporting directly to the Director of Recommendation ...
Staff Machine Learning Engineer, Recommendations
New City, NY · Remote
$205K - $265K/yr
We are seeking a Staff Machine Learning Engineer / Data Scientist to serve as a technical anchor for our machine learning and AI capabilities. Reporting directly to the Director of Recommendation ...
Quick apply
Staff Machine Learning Engineer, Recommendations
New City, NY · Remote
$205K - $265K/yr
We are seeking a Staff Machine Learning Engineer / Data Scientist to serve as a technical anchor for our machine learning and AI capabilities. Reporting directly to the Director of Recommendation ...
Staff Machine Learning Engineer, Recommendations
New City, NY · Remote
$205K - $265K/yr
We are seeking a Staff Machine Learning Engineer / Data Scientist to serve as a technical anchor for our machine learning and AI capabilities. Reporting directly to the Director of Recommendation ...
Quick apply
Staff Machine Learning Engineer, Recommendations
New City, NY · Remote
$205K - $265K/yr
We are seeking a Staff Machine Learning Engineer / Data Scientist to serve as a technical anchor for our machine learning and AI capabilities. Reporting directly to the Director of Recommendation ...
Machine Learning Engineer
Manhattan, NY · On-site
$90K - $254K/yr
About the Role We are in search of an exceptional Machine Learning Engineer to join our ... Proven experience as a Data Scientist with a track record of developing and deploying predictive ML ...
Machine Learning Engineer
Manhattan, NY · On-site
$90K - $254K/yr
About the Role We are in search of an exceptional Machine Learning Engineer to join our ... Proven experience as a Data Scientist with a track record of developing and deploying predictive ML ...
Data Scientist Intern
Florham Park, NJ · On-site
Familiarity with Azure cloud platform and experience using Azure services to support data science ... Enhance automation in machine learning, programming, and business operations. * Build, test, and ...
Data Scientist Intern
Florham Park, NJ · On-site
Familiarity with Azure cloud platform and experience using Azure services to support data science ... Enhance automation in machine learning, programming, and business operations. * Build, test, and ...
Lead Machine Learning Engineer
New York, NY · On-site +1
$112K - $147K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Data Science teams * Inform your ML infrastructure decisions using your understanding of ML ...
Lead Machine Learning Engineer
New York, NY · On-site +1
$112K - $147K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Data Science teams * Inform your ML infrastructure decisions using your understanding of ML ...
Machine Learning Engineer Data Science Intern information
What does a machine learning engineer data science intern do?
A Machine Learning Engineer Data Science Intern assists in developing and implementing machine learning models and data-driven solutions under the guidance of experienced professionals. The role typically involves data preprocessing, feature engineering, model training, and evaluation. Interns often collaborate with teams to solve real-world problems using statistical analysis and programming. They gain hands-on experience with popular tools and frameworks, such as Python, TensorFlow, and scikit-learn. This internship helps build foundational skills for a future career in machine learning and data science.
What kinds of projects does a machine learning engineer data science intern typically work on, and how are they supported by their team?
As a Machine Learning Engineer Data Science Intern, you will often be assigned to real-world projects such as building predictive models, cleaning and preprocessing data, and assisting with the deployment of machine learning solutions. You’ll collaborate closely with senior data scientists, software engineers, and sometimes product managers, receiving guidance during code reviews and regular team meetings. The environment is typically fast-paced and supportive, encouraging learning through mentorship and hands-on experience. Interns are expected to communicate their findings clearly and contribute to the team’s problem-solving efforts.
What are the key skills and qualifications needed to thrive as a machine learning engineer data science intern, and why are they important?
To thrive as a Machine Learning Engineer Data Science Intern, you need a strong background in mathematics, statistics, and programming (typically Python), supported by coursework or a degree in computer science, data science, or a related field. Familiarity with tools and libraries like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is commonly required. Problem-solving skills, intellectual curiosity, and effective communication make a candidate stand out in collaborative and dynamic environments. These skills are vital for analyzing complex datasets, building reliable models, and clearly communicating insights that drive data-driven decision-making.
What cities in New York are hiring for Machine Learning Engineer Data Science Intern jobs?
Cities in New York with the most Machine Learning Engineer Data Science Intern job openings:
Machine Learning Engineer
New York, NY • On-site
Lyft •
Ground Public Transportation • 5 - 10K employees5,001 - 10,000 employees
Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 6 days ago
Lyft rating
7.6
Based on 33 frontline employees who took The Breakroom Quiz
Job description
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Driver, Marketplace, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing petabyte-scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business.
The Fulfillment group, within the Marketplace at Lyft, is responsible for determining what inventory can be reliably offered for a given rider session and fulfilling rider requests. The group comprises several sub-teams that generate feasible offers for riders, match rider requests with drivers, and maintain a distributed state machine to track rides and drivers from request through completion.
We are seeking a Machine Learning Engineer to join the Fulfillment team and lead the design, development, and deployment of state-of-the-art machine learning systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging machine learning and data science.
Responsibilities:
Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
The expected base pay range for this position in the New York City area is $140,800 - $176,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Driver, Marketplace, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing petabyte-scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business.
The Fulfillment group, within the Marketplace at Lyft, is responsible for determining what inventory can be reliably offered for a given rider session and fulfilling rider requests. The group comprises several sub-teams that generate feasible offers for riders, match rider requests with drivers, and maintain a distributed state machine to track rides and drivers from request through completion.
We are seeking a Machine Learning Engineer to join the Fulfillment team and lead the design, development, and deployment of state-of-the-art machine learning systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging machine learning and data science.
Responsibilities:
- Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions
- Design and implement feature pipelines, model training workflows, and serving infrastructure using Lyft's ML platform
- Evaluate ML system performance against business KPIs, run experiments, and drive continuous model improvement
- Partner with ML engineers, product managers, data scientists, and software engineers to align ML initiatives with business goals
- Leverage data-driven insights to inform and refine ML strategies and solutions
- Write production-level code and participate in code reviews to ensure quality and share knowledge across the team
- BS/MS in Computer Science, or a related field
- 2+ years of experience in machine learning modeling or related fields
- Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks
- Understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning
- Experience with translating state-of-the-art ML research into production systems
- Proficiency in Python, Golang, or other programming language
- Proven ability to tackle ambiguous problems and deliver solutions at scale
- Strong communication and interpersonal skills for effective cross-functional collaboration
- Great medical, dental, and vision insurance options with additional programs available when enrolled
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- 401(k) plan with company match to help save for your future
- In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
- 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
- Subsidized commuter benefits
- Monthly Lyft credits and complimentary Lyft Pink membership
Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
The expected base pay range for this position in the New York City area is $140,800 - $176,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
About Lyft
Sourced by ZipRecruiter
At Lyft, our mission is to improve people's lives with the world's best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.
Industry
Ground public transportation
Company size
5,001 - 10,000 Employees
Headquarters location
San Francisco, CA, US
Year founded
2012