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Senior Machine Learning Engineer Jobs in Springfield Gardens, NY

Rapidtrade

Senior Machine Learning Engineer

Manhattan, NY · On-site

$180 - $240/hr

About the Role We're looking for a Senior Machine Learning Engineer to join our AI team and help build the next generation of predictive trading models. You'll work on cutting-edge problems involving ...

PROPRIUS

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

Sr. Machine Learning Engineer Location: New York, NY Sponsorship: Yes Relocation: Yes Industry: Machine Learning A leading provider of AI is looking for a Sr. ML Engineer. Our client is an industry ...

ExaCare AI

Senior Machine Learning Engineer

Manhattan, NY · On-site

$100 - $140/hr

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 workflows ...

Attentive

Senior Machine Learning Engineer

New York, NY · On-site

$244K - $320K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

Clearview AI

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

Senior Machine Learning Engineer Department: Engineering Employment Type: Full Time Location: New York, NY Description Clearview AI is the leading provider of facial recognition technologies to US ...

DailyPay

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

They are seeking a Senior Machine Learning Engineer to enhance their machine learning infrastructure and collaborate with cross-functional teams to deliver impactful ML solutions. Responsibilities ...

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 ...

Attentive

Senior Machine Learning Engineer

New York, NY · On-site

$244K - $320K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

DailyPay

Senior Machine Learning Engineer

Manhattan, NY · On-site

$180 - $240/hr

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 ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Springfield Gardens, NY

Senior Machine Learning Engineer information

See Springfield Gardens, NY salary details

$62.4K

$132.7K

$192.5K

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

As of Aug 22, 2026, the average yearly pay for senior machine learning engineer in Springfield Gardens, NY is $132,735.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,600.00 and $150,500.00 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 Springfield Gardens, NY are hiring for Senior Machine Learning Engineer jobs?

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

Senior Machine Learning Engineer jobs near you

Senior Machine Learning Engineer

Rapidtrade

Manhattan, NY • On-site

$180 - $240/hr

Other

Posted 4 days ago

Job description

About the Role

We're looking for a Senior Machine Learning Engineer to join our AI team and help build the next generation of predictive trading models. You'll work on cutting-edge problems involving time-series forecasting, reinforcement learning, and large-scale data processing.

What You'll Do
  • Design and implement machine learning models for market prediction and risk assessment
  • Build and maintain scalable ML pipelines processing billions of data points daily
  • Collaborate with quantitative analysts to translate trading strategies into ML systems
  • Optimize model inference for sub-millisecond latency requirements
  • Mentor junior engineers and contribute to engineering best practices
  • Research and evaluate new ML techniques and frameworks
What We're Looking For
  • 5+ years of experience in machine learning or related field
  • Strong background in Python, with experience in PyTorch or TensorFlow
  • Experience with time-series analysis and forecasting
  • Familiarity with distributed computing (Spark, Ray, or similar)
  • MS or PhD in Computer Science, Machine Learning, or related field
  • Track record of deploying ML models to production
Nice to Have
  • Experience in fintech or quantitative trading
  • Knowledge of reinforcement learning
  • Contributions to open-source ML projects
  • Experience with Rust or C++ for performance-critical code
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