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Junior Machine Learning Engineer Jobs in Red Bank, NJ

Nvidia

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

As a Senior Machine Learning Engineer at NVIDIA, you will build the machine learning brain that keeps NVIDIA's global DGX Cloud healthy, efficient and ready for the next waves of AI breakthroughs.

Good Inside

Machine Learning Engineer

New York, NY

$205K - $235K/yr

The Opportunity Good Inside is seeking a Machine Learning Engineer to join our Engineering team. This is not a research or data science role - we're looking for a strong backend engineer who has ...

Good Inside

Machine Learning Engineer

New York, NY · On-site

$205K - $235K/yr

The Opportunity Good Inside is seeking a Machine Learning Engineer to join our Engineering team. This is not a research or data science role - we're looking for a strong backend engineer who has ...

Bespoke Labs

Machine Learning Engineer

Edison, NJ · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Elizabeth, NJ · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Attentive

Senior Machine Learning Engineer

New York, NY · On-site

$244K - $320K/yr

About the Role Our Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands. As a Senior Machine Learning Engineer, you will ...

Sweep360

Machine Learning Engineer

New York, NY · On-site

$240K/yr

DR - We're building humanity's defense layer for the AI age and are looking for an exceptional machine learning engineer to build the AI decision system that turns raw signals into trusted ...

Sweep360

Machine Learning Engineer

New York, NY

$240K/yr

DR - We're building humanity's defense layer for the AI age and are looking for an exceptional machine learning engineer to build the AI decision system that turns raw signals into trusted ...

exacare ai

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

About the Role We are looking for a Senior Machine Learning Engineer, MLOps to help operationalize and scale our machine learning systems. This is an engineering-focused role centered on building the ...

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All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Red Bank, NJ

Junior Machine Learning Engineer information

See Red Bank, NJ salary details

$34.4K

$73.7K

$112.4K

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

As of Aug 12, 2026, the average yearly pay for junior machine learning engineer in Red Bank, NJ is $73,683.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,800.00 and $82,100.00 per year, depending on experience, location, and employer.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

More about Junior Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Red Bank, NJ? The most popular types of Machine Learning Engineer jobs in Red Bank, NJ are:
What cities near Red Bank, NJ are hiring for Junior Machine Learning Engineer jobs? Cities near Red Bank, NJ with the most Junior Machine Learning Engineer job openings:
Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Red Bank, NJ as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $73,683 per year, or $35.4 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 2 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.

What Genentech employees say

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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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