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Machine Manager Jobs in New York (NOW HIRING)

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 ...

New

Machine Operator

Eatontown, NJ · On-site

$17.25 - $20.50/hr

POSITION SUMMARY To cross train and operate all machines in an efficient and effective manner to ... Ability to effectively communicate with peers and management. * Great communication skills * Write ...

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 ...

New

Operate press machine to create components from required strip material per work order. Essential ... Work with OPEX Engineering staff on efficiency improvement projects, etc. * Assist area manager ...

Stamping Machine Operator

Montvale, NJ · On-site

$17.75 - $21.25/hr

Operate press machine to create components from required strip material per work order. Essential ... Work with OPEX Engineering staff on efficiency improvement projects, etc. * Assist area manager ...

Manage Universal Waste; used oil and filters in designated containers and properly labeled. * Demonstrate to and train machine operators on proper equipment functions and features. * Participate in ...

Machine Operator

Eatontown, NJ · On-site

$17.25 - $20.50/hr

POSITION SUMMARY To cross train and operate all machines in an efficient and effective manner to ... Ability to effectively communicate with peers and management. * Great communication skills * Write ...

The Screw Machine Operator will safely manage screw machines, ensuring equipment functions efficiently during the machining processes. The individual will adjust settings as necessary to accommodate ...

Manage Universal Waste; used oil and filters in designated containers and properly labeled. * Demonstrate to and train machine operators on proper equipment functions and features. * Participate in ...

Manager

Edison, NJ · On-site

$24 - $25.75/hr

Trains other mechanics in Brunswick machine area safety procedures and standards of operation for ... Manages the installation, maintenance, and repairs both mechanical and circuitry issues in arcade ...

Showing results 41-60

Machine Manager information

What does a machine manager do?

A Machine Manager oversees the operation, maintenance, and performance of machinery within an industrial or manufacturing setting. They are responsible for ensuring machines run efficiently, scheduling regular maintenance, troubleshooting technical issues, and supervising machine operators. Additionally, Machine Managers often monitor production output, enforce safety standards, and work to optimize processes to reduce downtime and improve productivity. Their role is crucial in maintaining smooth operations and meeting production goals.

What are the key skills and qualifications needed to thrive as a machine manager, and why are they important?

To thrive as a Machine Manager, you need a solid background in mechanical engineering, production processes, and equipment maintenance, typically supported by relevant technical training or a degree. Familiarity with manufacturing software (such as ERP/MES systems), maintenance management tools, and safety certifications like OSHA are usually required. Strong leadership, problem-solving, and effective communication skills help a Machine Manager lead teams and coordinate with other departments. These competencies ensure optimal machine performance, reduced downtime, and a safe, efficient production environment.

What are some common challenges faced by a machine manager and how can they be addressed?

Machine Managers often encounter challenges such as equipment downtime, coordinating maintenance schedules, and ensuring optimal productivity from both machines and operators. To address these, proactive maintenance planning, regular training for team members, and clear communication with other departments are essential. Building a strong rapport with maintenance and engineering teams can help quickly resolve technical issues and keep production running smoothly.

What is the difference between Machine Manager vs Equipment Supervisor?

AspectMachine ManagerEquipment Supervisor
CredentialsTypically requires technical certifications or experience in machinery operation and maintenanceOften requires similar technical certifications, with additional supervisory or leadership training
Work EnvironmentWorks directly with machinery, overseeing machine performance and maintenanceSupervises equipment staff, manages maintenance schedules, and ensures operational efficiency
Industry UsageCommon in manufacturing, production, and industrial settingsFound in manufacturing, construction, and industrial sectors

The Machine Manager focuses on overseeing the operation and maintenance of machinery, ensuring optimal performance. The Equipment Supervisor manages staff and schedules related to equipment, emphasizing team coordination and operational efficiency. Both roles require technical knowledge, but their primary responsibilities differ in scope and focus.

What are the most commonly searched types of Machine jobs in New York?

The most popular types of Machine jobs in New York are:

What cities in New York are hiring for Machine Manager jobs?

Cities in New York with the most Machine Manager job openings:

Infographic showing various Machine Manager job openings in New York as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution.

Machine Learning Engineer

Lyft

New York, NY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


Lyft rating

7.6

Company rating: 7.6 out of 10

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:
  • 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
Experience:
  • 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
Benefits:
  • 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.

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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

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