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Senior Machine Learning Jobs in New York (NOW HIRING)

Senior Machine Learning Engineer

New York, NY ยท 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 ...

Senior Machine Learning Engineer

Manhattan, NY ยท 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 ...

Senior Machine Learning Engineer II

Manhattan, NY ยท On-site

$115K - $158K/yr

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer II. We are looking for an experienced software engineer with machine learning ...

Senior Machine Learning Engineer

Brooklyn, NY ยท On-site

$130K - $200K/yr

Ultimately, our goal is to make AI accessible and we see machine-learning for discovery (e.g. TikTok "For-You Page", FB "News feed" and YouTube "What to watch next") as the best place to start.

Senior Machine Learning Engineer

New York, NY ยท On-site

$114K - $157K/yr

Who We're Looking For As a Senior Machine Learning Engineer in Delivery, you are an experienced problem solver and technical leader who stays anchored to impact. You are someone who can grasp ...

Senior Machine Learning Engineer

Brooklyn, NY ยท On-site +1

$130K - $200K/yr

Ultimately, our goal is to make AI accessible and we see machine-learning for discovery (e.g. TikTok "For-You Page", FB "News feed" and YouTube "What to watch next") as the best place to start.

Senior Machine Learning Engineer I

Manhattan, NY ยท On-site

$135K - $178K/yr

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise ...

Senior Machine Learning Engineer

Manhattan, NY ยท On-site

$133K - $176K/yr

Our client is a public safety product that's looking to add a machine learning engineer to their team. This particular role is focused on NLP/NLU for their real-time audio translation team. If you're ...

Senior Machine Learning Engineer

Manhattan, NY ยท On-site

$133K - $176K/yr

Our client is a public safety product that's looking to add a machine learning engineer to their team. This particular role is focused on NLP/NLU for their real-time audio translation team. If you're ...

Showing results 21-40

Senior Machine Learning information

See New York salary details

$27.4K

$87.8K

$178.9K

How much do senior machine learning jobs pay per year?

As of Sep 15, 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 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 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 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.

Is senior machine learning a high paying job?

Senior machine learning roles typically offer high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies by industry, location, and experience, but these positions are generally among the higher-paying roles in tech and data science fields.

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 cities in New York are hiring for Senior Machine Learning jobs?

Cities in New York with the most Senior Machine Learning job openings:

Infographic showing various Senior Machine Learning job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $87,837 per year, or $42.2 per hour.

Senior Machine Learning Engineer

Manhattan, NY โ€ข On-site

Child Mind Institute
Offices of Mental Health Practitionersย โ€ขย 51 - 200 employees

$118K - $148K/yr

Full-time

Medical, Retirement

Re-posted 22 days ago


Key responsibilities

  • Design, implement, and maintain machine learning models with a focus on NLP and LLMs for real-world application in the mental health field.

  • Perform analyses on large datasets using high-performance computing infrastructures.

  • Collaborate with cross-functional teams to integrate ML solutions into research projects and mental health tools.


Job description

About Child Mind Institute

We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments.


Position Details:

As the Senior Machine Learning (ML) Engineer, you will apply expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) to develop and implement innovative ML solutions that have the potential to make a significant impact in the lives of children and adolescents struggling with mental health issues. You will work with researchers, clinicians, and software engineers within DAIR and across departments to design, prototype, deploy and maintain applied ML solutions to enhance our digital mental health tools.

This is an exempt, full-time, hybrid position located in our NYC headquarters office. The in-office requirement and schedule are subject to change based on the needs of the program and the organization. This position requires a minimum of four (4) days per week in the office, on a schedule determined by your supervisor.

You Will:

● Design, implement, and maintain machine learning models with a focus on NLP and LLMs for real-world application in the mental health field.

● Perform analyses on large datasets using high-performance computing infrastructures.

● Collaborate with cross-functional teams to integrate ML solutions into research projects and mental health tools.

● Develop and maintain data pipelines for training, evaluating, and deploying models.

● Leverage expertise to create innovative solutions to complex problems using state-of-the-art ML methods.

● Ensure data quality, security, and compliance with privacy regulations.

● Perform additional job-related duties as assigned.


You Have:

● Master's degree in Neuroscience, Psychology, Engineering, Computer Science or equivalent combination of education and experience.

● 8+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning).

● 8+ years of experience in at least one scientific programming language (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required.

● 5+ years of experience working in a Linux environment, using version control systems (e.g., GitHub), and software virtualization platforms (e.g., Docker).

● 3+ years of practical experience developing and designing production-oriented machine learning technologies and systems, including hands-on experience in NLP and modern ML/NLP.toolchains (e.g., pytorch, tensorflow, SpaCy, HuggingFace, NLTK).

● Experience can be concurrent with education.


Our Benefits


Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website.


Pay Range

The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting.


#LI-on-site, #LI-hybrid


EEO Disclaimer

Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind.


We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws.


In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL).


Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at hr@childmind.org


This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.