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Entry Level Machine Learning Engineer Jobs in Hackensack, NJ

Warnerbros

Machine Learning Engineer I

New York, NY

$106K - $146K/yr

CNN is seeking a Machine Learning Engineer I to build and deploy ML systems that power personalization, search, recommendations, and content understanding for millions of users across CNN's digital ...

Career Renew

Senior Machine Learning Engineer

New York, NY · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

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Entry Level Machine Learning Engineer information

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$32.7K

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$128.7K

How much do entry level machine learning engineer jobs pay per year?

As of Jul 4, 2026, the average yearly pay for entry level machine learning engineer in Hackensack, NJ is $75,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,200.00 and $85,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Hackensack, NJ? The most popular types of Machine Learning Engineer jobs in Hackensack, NJ are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Hackensack, NJ? For Entry Level Machine Learning Engineer jobs in Hackensack, NJ, the most frequently searched job titles are:
What cities near Hackensack, NJ are hiring for Entry Level Machine Learning Engineer jobs? Cities near Hackensack, NJ with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Machine Learning Engineer/Senior Machine Learning Engineer - Devops, AI for Drug Discovery

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

Genentech, Inc.

New York, NY • On-site

$142K - $182K/yr

Full-time

Posted 24 days ago

Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

10th of 73 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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