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Senior Machine Learning Jobs in New York (NOW HIRING)

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 ...

DailyPay

Senior Machine Learning Engineer

New York, NY · Remote

$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 ...

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 ...

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 ...

CVS Health

Senior Machine Learning Engineer

New York, NY · On-site

$111K - $222K/yr

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 ...

adMarketplace

Senior Machine Learning Engineer

Manhattan, NY · On-site

$114K - $157K/yr

The Role We are seeking an experienced Senior Machine Learning Engineer passionate about building impactful products in the search and advertising technology ecosystem. As part of our established AI ...

Autodesk

Senior Machine Learning Test Engineer

New York, NY · On-site +1

$120K - $157K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East Coast Position Overview As a Senior Machine Learning Test Engineer in the Research Enablement team ...

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Senior Machine Learning information

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$27.4K

$87.8K

$178.9K

How much do senior machine learning jobs pay per year?

As of Aug 8, 2026, the average yearly pay for senior machine learning in New York is $87,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,400.00 and $112,700.00 per year, depending on experience, location, and employer.

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

Senior Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining model performance over time, and integrating models seamlessly with existing systems. Addressing these requires robust monitoring frameworks, collaboration with data engineering and DevOps teams, and implementing strategies like continuous integration/continuous deployment (CI/CD) for ML. Proactive communication with stakeholders and staying updated on the latest MLOps tools can also help ensure smooth deployment and ongoing reliability.

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

To thrive as a Senior Machine Learning Engineer, you need a strong background in mathematics, statistics, computer science, and experience with designing and deploying machine learning models, typically supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, ML frameworks like TensorFlow or PyTorch, and experience with cloud platforms and version control systems are commonly required. Excellent problem-solving skills, communication abilities, and leadership in collaborating with cross-functional teams make candidates stand out. These skills ensure the effective development, scaling, and integration of ML solutions to drive business value and innovation.

What is a senior machine learning engineer?

Senior Machine Learning engineers are experienced professionals who design, develop, and deploy advanced machine learning models and systems. They typically lead projects, mentor junior team members, and collaborate with data scientists, software engineers, and stakeholders to solve complex problems using AI and data-driven techniques. Their responsibilities include researching new algorithms, optimizing model performance, and ensuring the scalability and reliability of machine learning solutions in production environments.
What are the most commonly searched types of Machine Learning jobs in New York? The most popular types of Machine Learning jobs in New York are:
What are popular job titles related to Senior Machine Learning jobs in New York? For Senior Machine Learning jobs in New York, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning jobs in New York look for? The top searched job categories for Senior Machine Learning jobs in New York are:
What cities in New York are hiring for Senior Machine Learning jobs? Cities in New York with the most Senior Machine Learning job openings:
Senior Machine Learning jobs near you
Infographic showing various Senior Machine Learning job openings in New York 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 $87,837 per year, or $42.2 per hour.

Senior Machine Learning Engineer

DailyPay

New York, NY • On-site

$190K - $250K/yr

Full-time

Re-posted 2 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.

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