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Senior Machine Learning Engineer Jobs in Plainview, NY

Senior Machine Learning Engineer

Brooklyn, NY ยท 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 ...

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

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 ...

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 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

New York, NY ยท 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 ...

Senior Machine Learning Engineer

New York, NY ยท On-site

$114K - $157K/yr

As a Senior Machine Learning Engineer, you'll design and scale the ML systems behind ad ranking, bid optimization, recommendation, and user-level prediction across our demand and supply businesses ...

Senior Machine Learning Engineer

New York, NY ยท On-site

$229K - $360K/yr

About the Role We seek an outstanding, creative, and passionate Machine Learning Platform Engineer to join Roku's Recommendation team. In this role, you will design, build, and scale robust ...

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 ...

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 ...

Senior Machine Learning Engineer

New York, NY ยท On-site

$114K - $157K/yr

As a Senior Machine Learning Engineer, you'll design and scale the ML systems behind ad ranking, bid optimization, recommendation, and user-level prediction across our demand and supply businesses ...

Senior Machine Learning Engineer

Manhattan, NY ยท On-site

$229K - $360K/yr

About the Role We seek an outstanding, creative, and passionate Machine Learning Platform Engineer to join Roku's Recommendation team. In this role, you will design, build, and scale robust ...

Showing results 21-40

Senior Machine Learning Engineer information

See Plainview, NY salary details

$60.3K

$128.3K

$186.1K

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

As of Sep 12, 2026, the average yearly pay for senior machine learning engineer in Plainview, NY is $128,344.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $145,500.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near Plainview, NY are hiring for Senior Machine Learning Engineer jobs?

Cities near Plainview, NY with the most Senior Machine Learning Engineer job openings:

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 19 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.