Machine Learning Engineer
New York, NY · On-site
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 ...
Machine Learning Engineer
New York, NY · On-site
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 ...
Machine Learning Engineer
New York, NY · On-site
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 ...
Machine Learning Engineer
New York, NY · On-site
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 ...
Machine Learning Developer
New York, NY · On-site
OVERVIEW: Machine learning developers work closely with researchers to creatively apply their ... Specific responsibilities include designing, implementing, testing, and documenting modules for all ...
Machine Learning Developer
New York, NY · On-site
OVERVIEW: Machine learning developers work closely with researchers to creatively apply their ... Specific responsibilities include designing, implementing, testing, and documenting modules for all ...
... machine learning, while also conducting novel research as required. We are interested in all ... testing, prototyping, and performance evaluation. Some successful researchers have joined us from ...
... machine learning, while also conducting novel research as required. We are interested in all ... testing, prototyping, and performance evaluation. Some successful researchers have joined us from ...
Machine Learning Engineer
New York, NY · On-site
... testing, CI/CD, API design, MLOps) * Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow) * Distributed computing frameworks (e.g ...
Machine Learning Engineer
New York, NY · On-site
... testing, CI/CD, API design, MLOps) * Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow) * Distributed computing frameworks (e.g ...
... machine learning, while also conducting novel research as required. We are interested in all ... testing, prototyping, and performance evaluation. Some successful researchers have joined us from ...
... machine learning, while also conducting novel research as required. We are interested in all ... testing, prototyping, and performance evaluation. Some successful researchers have joined us from ...
Machine Learning Engineer
New York, NY · On-site
$110K - $135K/yr
Implement MLOps and AgentOps best practices, including automated testing, CI/CD/CT pipelines ... Experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, and ...
Machine Learning Engineer
New York, NY · On-site
$110K - $135K/yr
Implement MLOps and AgentOps best practices, including automated testing, CI/CD/CT pipelines ... Experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, and ...
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 ... Apply advanced statistical modeling and hypothesis testing to validate models, ensuring outcomes ...
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 ... Apply advanced statistical modeling and hypothesis testing to validate models, ensuring outcomes ...
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 ... Apply advanced statistical modeling and hypothesis testing to validate models, ensuring outcomes ...
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 ... Apply advanced statistical modeling and hypothesis testing to validate models, ensuring outcomes ...
We are looking for exceptional machine learning researchers to join our efforts. Researchers will ... control, testing, collaborative workflow). * Excellent written and verbal communication skills ...
We are looking for exceptional machine learning researchers to join our efforts. Researchers will ... control, testing, collaborative workflow). * Excellent written and verbal communication skills ...
Machine Learning Engineer (Technical Leadership)
New York, NY · On-site
$271K/yr
Meta is seeking a Machine Learning Engineer to join our integrity engineering team. The ideal ... Lead experimentation and A/B testing frameworks to measure and optimize model performance * Build ...
Machine Learning Engineer (Technical Leadership)
New York, NY · On-site
$271K/yr
Meta is seeking a Machine Learning Engineer to join our integrity engineering team. The ideal ... Lead experimentation and A/B testing frameworks to measure and optimize model performance * Build ...
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 ... Implement evaluation, monitoring, and regression testing frameworks in collaboration with QC. * ...
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 ... Implement evaluation, monitoring, and regression testing frameworks in collaboration with QC. * ...
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 ... Solve complex problems by writing and testing application code, developing and validating ML models ...
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 ... Solve complex problems by writing and testing application code, developing and validating ML models ...
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 ... Solve complex problems by writing and testing application code, developing and validating ML models ...
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 ... Solve complex problems by writing and testing application code, developing and validating ML models ...
Machine Learning Engineer
New York, NY · On-site
$180K - $230K/yr
Arlo's underwriting is the core of the business, and it runs on machine learning at serious scale ... Experience building tooling that makes other people faster - feature testing, experiment tracking ...
Machine Learning Engineer
New York, NY · On-site
$180K - $230K/yr
Arlo's underwriting is the core of the business, and it runs on machine learning at serious scale ... Experience building tooling that makes other people faster - feature testing, experiment tracking ...
Machine Learning Engineer
New York, NY · On-site
$180K - $230K/yr
Arlo's underwriting is the core of the business, and it runs on machine learning at serious scale ... Experience building tooling that makes other people faster -- feature testing, experiment tracking ...
Quick apply
Machine Learning Engineer
New York, NY · On-site
$180K - $230K/yr
Arlo's underwriting is the core of the business, and it runs on machine learning at serious scale ... Experience building tooling that makes other people faster -- feature testing, experiment tracking ...
... testing, prototyping, and performance evaluation. Researchers will be introduced to industry ... PhD or PhD candidate in machine learning, computer science, statistics, or a related field
... testing, prototyping, and performance evaluation. Researchers will be introduced to industry ... PhD or PhD candidate in machine learning, computer science, statistics, or a related field
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 ... Solve complex problems by writing and testing application code, developing and validating ML models ...
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 ... Solve complex problems by writing and testing application code, developing and validating ML models ...
... testing, prototyping, and performance evaluation. Researchers will be introduced to industry ... PhD or PhD candidate in machine learning, computer science, statistics, or a related field
... testing, prototyping, and performance evaluation. Researchers will be introduced to industry ... PhD or PhD candidate in machine learning, computer science, statistics, or a related field
Lead Machine Learning Engineer
New York, NY · On-site
$130K - $155K/yr
Implement MLOps and AgentOps best practices, including CI/CD/CT pipelines, automated testing, model ... 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
Implement MLOps and AgentOps best practices, including CI/CD/CT pipelines, automated testing, model ... Hands-on experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch ...
Overnight Machine Learning Testing information
See Tinton Falls, NJ salary details
$33.3K - $48.9K
1% of jobs
$48.9K - $64.4K
1% of jobs
$64.4K - $80K
5% of jobs
$80K - $95.6K
6% of jobs
$108.4K is the 25th percentile. Wages below this are outliers.
$95.6K - $111.1K
14% of jobs
$111.1K - $126.7K
14% of jobs
The median wage is $134.5K / yr.
$126.7K - $142.3K
18% of jobs
$142.3K - $157.8K
14% of jobs
$161K is the 75th percentile. Wages above this are outliers.
$157.8K - $173.4K
12% of jobs
$173.4K - $188.9K
11% of jobs
$188.9K - $204.5K
5% of jobs
$33.3K
$136.1K
$204.5K
How much do overnight machine learning testing jobs pay per year?
As of Sep 8, 2026, the average yearly pay for overnight machine learning testing in Tinton Falls, NJ is $136,099.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,300.00 and $163,800.00 per year, depending on experience, location, and employer.
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 5 days ago
Lyft rating
7.6
Based on 33 frontline employees who took The Breakroom Quiz
2nd of 9 rated taxi private hire
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