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Senior Machine Learning Engineer Jobs in Parsippany, NJ

Forhyre

Machine Learning Engineer

New York, NY

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

Quantiphi, Inc.

Senior Machine Learning Engineer

New York, NY · On-site +1

$134K - $176K/yr

... learning and growth. If working in an environment that encourages you to innovate and excel, not ... Engineer agentic systems. Develop planning, retrieval, tool-use, and orchestration components for ...

Zencastr

Senior Machine Learning Engineer (Remote)

New York, NY · On-site +1

$114K - $157K/yr

We are looking for an outstanding machine learning engineer to join our team! The role will provide an opportunity to work on large scale machine learning to improve the podcast creation experience ...

Quantiphi, Inc.

Senior Machine Learning Engineer

New York, NY · On-site +1

$134K - $176K/yr

... learning and growth. If working in an environment that encourages you to innovate and excel, not ... Quantiphi is an award-winning, AI-First global digital engineering company that helps the world ...

SeatGeek

Senior Machine Learning Engineer

New York, NY · On-site +1

$145K - $209K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are looking for Software Engineers with varying levels of experience to join SeatGeek's R&D team ... learning from others Our stack You do not need experience with all of these, but we thought you ...

SeatGeek

Senior Machine Learning Engineer

New York, NY · On-site

$145K - $209K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are looking for Software Engineers with varying levels of experience to join SeatGeek's R&D team ... learning from others Our stack You do not need experience with all of these, but we thought you ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Parsippany, NJ

Senior Machine Learning Engineer information

See Parsippany, NJ salary details

$59.8K

$127.3K

$184.5K

How much do senior machine learning engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for senior machine learning engineer in Parsippany, NJ is $127,274.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $144,300.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near Parsippany, NJ are hiring for Senior Machine Learning Engineer jobs?

Cities near Parsippany, NJ with the most Senior Machine Learning Engineer job openings:

Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Parsippany, NJ as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $127,274 per year, or $61.2 per hour.

Machine Learning Engineer/Senior Machine Learning Engineer - Devops, AI for Drug Discovery

Genentech, Inc.

New York, NY • On-site

$142K - $182K/yr

Full-time

Re-posted 7 days ago

Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

11th of 86 rated pharmaceutical

Job description

A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche.
Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
The Opportunity
At Roche's AI for Drug Discovery (AIDD) group (Prescient Design), we are revolutionizing drug discovery with cutting-edge machine learning techniques. We are seeking a highly motivated and skilled ML Infrastructure DevOps Engineer to join our growing team within Genentech Research and Early Development AI Drug Development (gRED AIDD). This role is crucial for building and maintaining the scalable and robust infrastructure that powers our machine learning initiatives. The ideal candidate will be proactive, user-facing, and possess a "get-it-done" attitude, while consistently adhering to corporate standards and best practices.
What you'll do
Machine Learning Engineer - DevOps
  • Design, implement, and maintain scalable and reliable ML infrastructure on AWS.
  • Automate deployment, monitoring, alerting, and operational tasks using tools like Terraform and Helm.
  • Manage and optimize CI/CD pipelines and Git repositories for ML projects, ensuring efficient version control to support collaboration and deployment.
  • Collaborate closely with ML engineers and data scientists to understand their infrastructure needs and provide solutions.
  • Troubleshoot and resolve infrastructure-related issues in a timely manner.
  • Implement and enforce security best practices for ML infrastructure.
  • Document infrastructure designs, processes, and operational procedures.
  • Contribute to initiatives independently as part of a team, delivering assigned outputs.
  • Proactively identify issues and gaps, proposing ideas and suggestions for improvements.

Senior Machine Learning Engineer - DevOps
  • Lead the architecture and delivery of significant technical solutions
  • Mentor junior engineers and drive technical alignment and influence across teams
  • Design, implement, and maintain scalable and reliable ML infrastructure on AWS.
  • Demonstrated ability to lead technical projects from conception to completion and deliver high-quality, scalable, and reliable software." to "Who you are
  • Automate deployment, monitoring, alerting, and operational tasks using tools like Terraform and Helm.
  • Manage and optimize CI/CD pipelines and Git repositories for ML projects, ensuring efficient version control to support collaboration and deployment.
  • Collaborate closely with ML engineers and data scientists to understand their infrastructure needs and provide solutions.
  • Troubleshoot and resolve infrastructure-related issues in a timely manner.
  • Implement and enforce security best practices for ML infrastructure.
  • Document infrastructure designs, processes, and operational procedures.
  • Contribute to initiatives independently as part of a team, delivering assigned outputs.
  • Proactively identify issues and gaps, proposing ideas and suggestions for improvements.

Who you are
Machine Learning Engineer - DevOps
  • BS/MS with 2-3 years of industry experience required
  • Proven experience in designing, deploying, and managing infrastructure on Amazon Web Services (AWS), including services such as EC2, S3, RDS, EKS, SageMaker, etc.
  • Strong proficiency with Git and Git repository management.
  • Hands-on experience with Terraform for infrastructure provisioning and management.
  • Experience with Helm for deploying and managing applications on Kubernetes.
  • Proficiency in scripting languages (e.g., Python, Bash) for automation.
  • Excellent problem-solving skills and a strong ability to debug complex issues.
  • Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and user-facing interactions.
  • Demonstrated ability to take initiative, anticipate needs, and drive projects to completion.
  • Ability to thrive in a fast-paced environment and adapt to evolving requirements while adhering to corporate guidelines.
  • Ability to write clean code with little syntax/convention feedback.
  • Applies software engineering best practices (linting automation, unit testing, documentation, CI/CD).
  • Familiarity with modern machine learning methods.
  • Knowledge of and experience with high-performance computing, distributed systems, and cloud computing.

Senior Machine Learning Engineer - DevOps
  • BS/MS with 3-5 years of industry experience required
  • Proven experience in designing, deploying, and managing infrastructure on Amazon Web Services (AWS), including services such as EC2, S3, RDS, EKS, SageMaker, etc.
  • Strong proficiency with Git and Git repository management.
  • Hands-on experience with Terraform for infrastructure provisioning and management.
  • Experience with Helm for deploying and managing applications on Kubernetes.
  • Proficiency in scripting languages (e.g., Python, Bash) for automation.
  • Excellent problem-solving skills and a strong ability to debug complex issues.
  • Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and user-facing interactions.
  • Demonstrated ability to take initiative, anticipate needs, and drive projects to completion.
  • Ability to thrive in a fast-paced environment and adapt to evolving requirements while adhering to corporate guidelines.
  • Ability to write clean code with little syntax/convention feedback.
  • Applies software engineering best practices (linting automation, unit testing, documentation, CI/CD).
  • Familiarity with modern machine learning methods.
  • Knowledge of and experience with high-performance computing, distributed systems, and cloud computing.

Preferred
  • Experience with MLOps platforms and tools.
  • Familiarity with CI/CD pipelines for ML workflows.
  • Knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack)

Relocation benefits are NOT available for this job posting
The expected salary range for this position based on the primary location of California for the Machine Learning Engineer is $147,600, - $274,000 and New York is $141,100 - $262,100, and the Senior Machine Learning Engineer for California is $167,400 - $310,800 and New York is $160,100 - $297,300. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
#ComputationCoE
#tech4lifeComputationalScience
#tech4lifeAI
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

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About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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