ZipRecruiter

Log In

1

Senior Machine Learning Software Engineer Jobs in Paterson, NJ

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 will play a key role in maturing and scaling our machine learning infrastructure, ensuring the ...

Point72

Machine Learning Engineer

Manhattan, NY · On-site

Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience implementing Agent or Context engineering is strongly preferred * Experience with natural language ...

Point72

Machine Learning Engineer

New York, NY · On-site

Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience implementing Agent or Context engineering is strongly preferred * Experience with natural language ...

Point72

Machine Learning Engineer

New York, NY

Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience implementing Agent or Context engineering is strongly preferred * Experience with natural language ...

CVS Health

Senior Machine Learning Engineer

New York, NY

$111K - $222K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We're looking for a Senior Machine Learning Engineer to help build and scale the next generation of data science and AI products in the journey. In this role, you'll leverage your engineering ...

Digital Turbine

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

As a Senior Machine Learning Engineer, you'll design and scale the ML systems behind ad ranking ... Strong software-engineering fundamentals - data structures, algorithms, system design - and ...

New

Digitalturbine

Senior Machine Learning Engineer

New York, NY · On-site +1

$114K - $157K/yr

As a Senior Machine Learning Engineer, you'll design and scale the ML systems behind ad ranking ... Strong software-engineering fundamentals - data structures, algorithms, system design - and ...

New

Spotify

Senior Machine Learning Engineer - Ads R&D

New York, NY · On-site +1

$184K - $262K/yr

  • Medical

  • Retirement

  • PTO

We are seeking a Senior Machine Learning Engineer to join the Supply Personalization squad. Supply ... You have strong technical expertise in software engineering, data analysis, and machine learning.

Spotify

Senior Machine Learning Engineer - Ads R&D

New York, NY · On-site +1

$184K - $262K/yr

  • Medical

  • Retirement

  • PTO

We are seeking a Senior Machine Learning Engineer to join the Supply Personalization squad. Supply ... You have strong technical expertise in software engineering, data analysis, and machine learning.

KARGO

Senior Machine Learning Engineer

New York, NY

$150K - $175K/yr

The Opportunity Kargo is hiring a senior machine learning engineer to own the evolution of Finetouch, our creative scoring system--leading the design and production deployment of multimodal ML models ...

Shaped

Senior Machine Learning Engineer

Brooklyn, NY · On-site +1

$130K - $200K/yr

We are looking for a machine learning engineer to design, build, experiment and optimize Shaped's AI discovery engine. You will be a founding engineer that works on cutting-edge technologies and ...

Kargo

Senior Machine Learning Engineer

Manhattan, NY · On-site

$150K - $175K/yr

The Opportunity Kargo is hiring a senior machine learning engineer to own the evolution of Finetouch, our creative scoring system-leading the design and production deployment of multimodal ML models ...

Kargo

Senior Machine Learning Engineer

New York, NY · On-site

$150K - $175K/yr

The Opportunity Kargo is hiring a senior machine learning engineer to own the evolution of Finetouch, our creative scoring system-leading the design and production deployment of multimodal ML models ...

Shaped

Senior Machine Learning Engineer

Brooklyn, NY · On-site

$130K - $200K/yr

We are looking for a machine learning engineer to design, build, experiment and optimize Shaped's AI discovery engine. You will be a founding engineer that works on cutting-edge technologies and ...

previous page

Showing results 41-60

All JobsMachine Learning Software Engineer JobsSenior Machine Learning Software Engineer JobsSenior Machine Learning Software Engineer Jobs in Paterson, NJ

Senior Machine Learning Software Engineer information

See Paterson, NJ salary details

$76.8K

$145.8K

$195.4K

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

As of Aug 16, 2026, the average yearly pay for senior machine learning software engineer in Paterson, NJ is $145,808.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,700.00 and $164,300.00 per year, depending on experience, location, and employer.

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

AspectSenior Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, integrates algorithms into products, collaborates with engineering teamsAnalyzes data, builds statistical models, visualizes insights, collaborates with business teams
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, healthcare

While both roles involve working with data and algorithms, Senior Machine Learning Software Engineers focus on developing and deploying scalable ML models within software systems, whereas Data Scientists primarily analyze data to generate insights and inform business decisions.

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

A Senior Machine Learning Software Engineer requires deep expertise in machine learning algorithms, statistical analysis, and strong programming skills in languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, as well as experience with cloud platforms and version control systems, is standard. Exceptional problem-solving, leadership, and communication skills help drive project success and mentor junior engineers. These competencies are crucial for designing scalable ML solutions, ensuring code quality, and effectively collaborating within cross-functional teams.

What is a senior machine learning software engineer?

A Senior Machine Learning Software Engineer is an experienced professional who designs, develops, and deploys machine learning models and systems to solve complex problems. They work closely with data scientists, engineers, and other stakeholders to build scalable and efficient solutions that leverage large data sets and advanced algorithms. Their responsibilities often include architecting ML pipelines, optimizing model performance, and mentoring junior team members. Typically, they have a strong background in computer science, programming, and applied mathematics, along with several years of hands-on experience in machine learning and software engineering.

What are some common challenges senior machine learning software engineers face when deploying models to production?

Senior Machine Learning Software Engineers often encounter challenges such as ensuring model scalability, maintaining performance under real-world data conditions, and integrating models seamlessly with existing systems. Handling data drift and monitoring model predictions for accuracy over time are also critical responsibilities. Collaboration with data engineers, DevOps, and product teams is essential to address these challenges and ensure robust, reliable deployments.

What are popular job titles related to Senior Machine Learning Software Engineer jobs in Paterson, NJ?

For Senior Machine Learning Software Engineer jobs in Paterson, NJ, the most frequently searched job titles are:

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

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

Senior Machine Learning Software Engineer jobs near you

Senior Machine Learning Engineer

DailyPay

New York, NY • On-site

$190K - $250K/yr

Full-time

Re-posted 10 days ago

Job description

About Us:
DailyPay is transforming the way people get paid. As a worktech company and the industry's leading on demand pay solution, DailyPay uses an award-winning technology platform to help America's top employers build stronger relationships with their employees. This voluntary employee benefit enables workers everywhere to feel more motivated to work harder and stay longer on the job while supporting their financial well-being outside of the workplace.
DailyPay is headquartered in New York City, with operations throughout the United States as well as in Belfast. For more information, visit DailyPay's Press Center.
The Role:
We are seeking a Senior Machine Learning Engineer to join our AI & ML team in New York City. You will play a key role in maturing and scaling our machine learning infrastructure, ensuring the reliability, performance, and scalability of ML models in production. This role requires deep hands-on experience with MLOps principles, cloud infrastructure, and a track record of delivering robust ML systems in a fast-moving environment.
You will work closely with data scientists, engineers, and product stakeholders to deliver high-quality ML solutions that directly impact DailyPay's core products. You are expected to operate with significant autonomy: defining work, identifying dependencies, and raising the bar for the team around you.
How You Will Make an Impact:
  • Platform Ownership: Help architect and build DailyPay's unified ML platform - a unified system for model development, deployment, and monitoring that serves as the backbone for every AI and ML capability at the company.
  • MLOps Architecture & Delivery: Design and implement scalable ML pipelines covering model training, deployment, monitoring, and retraining. Own the delivery of end-to-end MLOps solutions with minimal oversight.
  • Cloud Infrastructure: Manage and optimize AWS infrastructure for machine learning workloads, balancing cost-effectiveness, security, and availability.
  • CI/CD Pipeline Development: Build and maintain robust CI/CD pipelines for continuous integration and deployment of ML models and related infrastructure.
  • Monitoring & Observability: Design monitoring and alerting systems for ML infrastructure and models using tools like Datadog. Proactively identify and resolve issues before they impact production.
  • Technical Leadership: Lead design discussions, contribute to architectural decisions, and establish team norms for how ML systems are built, tested, and maintained. Help identify and remove blockers.
  • Mentorship: Mentor junior engineers. Share domain knowledge and help build genuine technical depth on the team.
  • Security & Compliance: Approach all engineering work with a security lens. Actively look for vulnerabilities in code and during peer reviews. Ensure ML pipelines handle sensitive data in accordance with company policy.
What You Bring to the Team:
  • 5+ years of experience in machine learning engineering, MLOps, or data engineering
  • Strong cloud platform proficiency: AWS preferred (SageMaker, Lambda, S3, EC2, IAM, ECS), or equivalent GCP (Vertex AI, Cloud Functions, GCS, Compute Engine, Cloud Run) or Azure (Azure ML, Functions, Blob Storage, VMs, AKS) experience
  • Proficiency in Python and experience with ML frameworks (scikit-learn, TensorFlow, PyTorch)
  • Solid CI/CD experience: GitHub Actions or equivalent; designing and operating deployment pipelines
  • Experience with infrastructure-as-code (Terraform or CloudFormation)
  • Knowledge of event streaming platforms (Apache Kafka or equivalent)
  • Experience with monitoring and observability tooling (Datadog, Prometheus, or Grafana)
  • Strong SQL skills and experience with data pipeline tooling (dbt, Glue, Snowflake)
  • Excellent communication skills; comfortable working across data science, engineering, and product teams
Nice to Haves:
  • Experience with containerization and orchestration (Docker, Kubernetes)
  • Familiarity with microservices architecture and RESTful API design
  • Experience in fintech or regulated industries
  • Contributions to open-source ML or MLOps projects

High-performing cultures aren't built in silos, they thrive on partnership. At DailyPay, we Commit Together to an inclusive, professional environment where multifaceted perspectives are our greatest competitive advantage. We recognize that our team members don't live "single-issue lives," and we lean into the wide-ranging backgrounds and life stages that sharpen our collective decision-making.
In our high-trust environment, we empower you to Challenge Norms. We've created a space where it is safe to ask difficult questions, disrupt the status quo, and share bold perspectives without fear of professional fallout. We believe that by checking our own assumptions and staying curious about the experiences of others, we arrive at better, more innovative results.
We provide the space for you to do your best work through peer advocacy and transparent career development. If you are looking for a culture that values intellectual honesty, celebrates the unique lived experiences of its people, and thrives on collective success, you'll find it here.
If you require reasonable accommodation for any aspect of the recruitment process, please send a request to peopleops@dailypay.com. All requests for accommodation will be addressed as confidentially as practicable.
DailyPay is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion or creed, alienage or citizenship status, political affiliation, marital or partnership status, age, national origin, ancestry, physical or mental disability, medical condition, veteran status, gender, gender identity, pregnancy, childbirth (or related medical conditions), sex, sexual orientation, sexual and other reproductive health decisions, genetic disorder, genetic predisposition, carrier status, military status, familial status, or domestic violence victim status and any other basis protected under federal, state, or local laws.

Apply