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Junior Machine Learning Engineer Jobs in Newark, NJ

Paramount

Lead Machine Learning Engineer

Manhattan, NY · On-site

$112K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Lead Machine Learning Engineer, Entry & Re-engagement 45724 Overview We are looking for a ... Experience mentoring junior engineers or leading technical initiatives, with a track record of ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine ...

Canals

Machine Learning Engineer

New York, NY · Remote

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...

Canals

Machine Learning Engineer

New York, NY · On-site

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...

Visible Hands

Machine Learning Engineer

Manhattan, NY · On-site

$150 - $190/hr

Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics Foundation Models: Design and train deep learning ...

Jane Street

Machine Learning Engineer

New York, NY

We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine ...

Capital One

Lead Machine Learning Engineer (IC)

New York, NY · On-site

$112K - $147K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

Capital One

Lead Machine Learning Engineer (IC)

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

Spgi

Machine Learning Engineer

New York, NY · On-site +1

$209K - $250K/yr

  • Medical

  • Retirement

Machine Learning Engineer Location: 55 Water Street, New York, NY 10041 (Telecommuting permitted within normal commuting distance of New York, NY office) Job Duties: Kensho Technologies LLC seeks a ...

Root Access, Inc.

Machine Learning Engineer

Manhattan, NY · On-site

$140 - $190/hr

Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics Foundation Models: Design and train deep learning ...

Warnerbros

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

  • Medical

  • Life

  • Retirement

  • PTO

About the Role We're seeking a Senior Machine Learning Engineer to develop and deploy machine ... You will also act as a mentor to junior scientists, collaborate cross-functionally with product ...

Canals, Inc.

Machine Learning Engineer

Manhattan, NY · On-site

$120/hr

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...

Root Access Inc

Machine Learning Engineer

New York, NY · On-site

Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics Foundation Models: Design and train deep learning ...

WireScreen

Machine Learning Engineer

Manhattan, NY · On-site

$120 - $150/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Machine Learning Engineer at WireScreen, you will be working across our data systems to unlock the source of truth behind one of the world's economic powerhouses: China. This role is critical to ...

DailyPay

Senior Machine Learning Engineer

New York, NY · On-site

$190K - $250K/yr

We are seeking a Senior Machine Learning Engineer to join our AI & ML team in New York City. You ... Mentor junior engineers. Share domain knowledge and help build genuine technical depth on the team.

exacare ai

Machine Learning Engineer

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • PTO

About the Role We are looking for a 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 Newark, NJ

Junior Machine Learning Engineer information

See Newark, NJ salary details

$35K

$75K

$114.4K

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 Newark, NJ is $74,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,700.00 and $83,600.00 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 Newark, NJ? The most popular types of Machine Learning Engineer jobs in Newark, NJ are:
What are popular job titles related to Junior Machine Learning Engineer jobs in Newark, NJ? For Junior Machine Learning Engineer jobs in Newark, NJ, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning Engineer jobs in Newark, NJ look for? The top searched job categories for Junior Machine Learning Engineer jobs in Newark, NJ are:
What cities near Newark, NJ are hiring for Junior Machine Learning Engineer jobs? Cities near Newark, 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 Newark, 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, 2% Hybrid, and 11% Remote job distribution, with an average salary of $75,082 per year, or $36.1 per hour.

Lead Machine Learning Engineer

Paramount

Manhattan, NY • On-site

$112K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Paramount Senior Living rating

5.3

Company rating: 5.3 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

Job description

#WeAreParamount on a mission to unleash the power of content... you in?
We've got the brands, we've got the stars, we've got thepowerto achieve our mission to entertain the planet - now all we're missing is... YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter - both for our audiences and our employees - and aim to leave a positive mark on culture.
Senior Lead Machine Learning Engineer, Entry & Re-engagement 45724
Overview
We are looking for a Senior Lead Machine Learning Engineer for the Entry pod. This team owns the high stakes surfaces that establish whether a user stays or bounces within seconds of opening the app. You will lead the ML strategy for Onboarding, Re-entry, and High-Commitment Recommendations, including core features like "Your Next Watch", "Jump Back In", and "While You Were Away".
The technical task of this pod is optimizing start rates under high uncertainty. You will design systems that oversee the "cold start" problem for new users and the "intent gap" for returning users. Because these surfaces share similar failure modes such as over-indexing on recency or failing to surface "must-watch" content. You will architect an unified approach to re-engagement that balances historical preference with real-time context.
The Entry pod owns the "Moment of Truth." In this role, you will directly shape:
  • The First Touchpoint: Building the onboarding models that turn a first-time visitor into a long-term subscriber.
  • The Re-entry Loop: Perfecting the "Jump Back In" experience to ensure users can resume their journey with zero friction.
  • High-Stakes Discovery: Owning "Your Next Watch" (YNW), the primary engine for transitioning a user from a finished series into their next obsession.

Key Responsibilities
  • Entry Pod: Contribute to the technical vision for re-engagement and onboarding, leading a pod of senior engineers to deliver high-impact production models.
  • Optimize Re-entry Surfaces: Architect models for "Jump Back In" (JBI) and "While You Were Away" (WYWA) that account for temporal decay, episode progress, and cross-device signals.
  • Solve the Cold Start Problem: Develop advanced onboarding algorithms that use minimal metadata and global trends to provide high-quality recommendations to new users immediately.
  • Architect Hybrid Retrieval Systems: Develop multi-stage retrieval pipelines that successfully merge traditional feature-driven methods with semantic vector search, ensuring seamless integration with downstream ranking models for optimal performance.
  • Design High-Commitment Ranking: Lead the development of the "Your Next Watch" (YNW) engine, optimizing for long-form commitment rather than just a click.
  • Model Uncertainty: Implement exploration/exploitation strategies to navigate the uncertainty of user intent during app entry.
  • Unified Success Metrics & System Performance: Define and optimize for Start Rate, Time to Play, and Day-1 retention. Beyond business KPIs, you will own the system-level Service Level Objectives (SLOs), ensuring high throughput and low-latency delivery of recommendations in production.

Basic Qualifications
  • 6-8+ years of experience in machine learning engineering, specifically in ranking, retrieval, or reinforcement learning.
  • Cold Start Experience: Proven experience building recommendation systems that perform under data sparsity or for "new-to-system" entities.
  • Advanced Ranking: Deep knowledge of multi-stage ranking, learning-to-rank (LTR), and handling temporal features in real-time.
  • High-Throughput Engineering: Deep expertise in designing and deploying scalable hybrid retrieval architectures capable of processing massive interaction volumes in real-time.
  • Rigorous Experimentation: Proficiency in A/B testing and the design of complex online metric frameworks, including primary, secondary, and guardrail indicators to validate model impact.
  • Data Infrastructure: Proficiency in leveraging modern processing frameworks like Spark, Beam, or BigQuery to engineer features and productionize machine learning models at massive scale.
  • Cross-Functional Management: Demonstrated ability to drive technical initiatives collaboratively with Product, Engineering, and Data Science partners to deliver on shared business objectives.
  • Technical Focus: Mastery of Python, Neural networks (Pytorch, tensorflow, JAX), Distributed systems (Ray or Spark), Orchestration (e.g., Airflow, Argo Workflows), MLOps (MLFlow/ Weights and Biases), DevOps (Docker, Kubernetes), Ranking, Search, Recommender systems, Java (nice to have), and Serving Frameworks (Nvidia Triton).
  • Mentorship: Experience mentoring junior engineers or leading technical initiatives, with a track record of spearheading complex ML projects from research to global production.

Additional Qualifications
  • Experience with Sequential/Session-based models (RNNs, Transformers, Recommendation Systems, Search, Ranking) for predicting the "next" best action.
  • Background in Exploration/Exploitation (Bandits) for handling user uncertainty.
  • Knowledge with Causal Inference to distinguish between organic re-entry and model-driven lift.
  • Experience in high-scale consumer tech (Streaming, E-commerce, or social media).
  • Advanced proficiency in re-ranking methodologies focused on balancing content diversity with top-tier relevance.

Paramount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount+. Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels. Paramount+, digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainment™. Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME®.
ADDITIONAL INFORMATION
Hiring Salary Range: $156,800.00 - 235,200.00.
The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible.
What We Offer:
  • Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits
  • Generous paid time off.
  • An exciting and fulfilling opportunity to be part of one of Paramount's most dynamic teams.
  • Opportunities for both on-site and virtual engagement events.
  • Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.
  • Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount

Paramount is an equal opportunity employer (EOE) including disability/vet.
At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.

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