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Freelance Full Stack Machine Learning Engineer Jobs in New York

Machine Learning Engineer

New York, NY · Hybrid

$90K - $254K/yr

Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless ... Expertise in machine learning techniques, including but not limited to regression, classification ...

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

Machine Learning Engineers build production grade machine learning algorithms that operate in real time or at scale. They have a very deep understanding of machine learning algorithms and cloud ...

About the Role We are seeking a skilled and innovative Machine Learning Engineer to join our team. This person will implement and develop machine learning models to enhance our platform ...

Senior Machine Learning Engineer

New York, NY · On-site +1

$114K - $157K/yr

This role is designed for someone who enjoys working across the full machine learning lifecycle and ... Proficiency with the Python machine learning stack, including tools such as Pandas, NumPy, and ...

We are building an AI-driven simulation software stack for engineering and manufacturing across ... Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to ...

Machine Learning Engineer

New York, NY · On-site

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a ... Comfort working across the Linux systems stack - storage, networking, job scheduling - enough to ...

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a ... Comfort working across the Linux systems stack - storage, networking, job scheduling - enough to ...

As a Machine Learning Engineer, you will play a critical role in shaping the future of cooking ... Own the full machine learning lifecycle, from data preparation and model training through ...

We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day ...

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Freelance Full Stack Machine Learning Engineer information

What is the difference between Freelance Full Stack Machine Learning Engineer vs Freelance Data Scientist?

AspectFreelance Full Stack Machine Learning EngineerFreelance Data Scientist
CredentialsProficiency in programming, machine learning, and full stack developmentStrong statistical, analytical, and programming skills, often with data analysis certifications
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights, mainly focusing on data analysis
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, reporting, and predictive modeling

Freelance Full Stack Machine Learning Engineers focus on building and deploying machine learning models within full stack applications, combining software development with ML expertise. Freelance Data Scientists primarily analyze data and create models for insights. While both roles require programming skills, the engineer's role emphasizes deployment and integration, whereas the data scientist's role centers on analysis and interpretation.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in New York? The most popular types of Full Stack Machine Learning Engineer jobs in New York are:
What job categories do people searching Freelance Full Stack Machine Learning Engineer jobs in New York look for? The top searched job categories for Freelance Full Stack Machine Learning Engineer jobs in New York are:
What cities in New York are hiring for Freelance Full Stack Machine Learning Engineer jobs? Cities in New York with the most Freelance Full Stack Machine Learning Engineer job openings:
Machine Learning Engineer

Machine Learning Engineer

Graham Capital Management, L.P.

Manhattan, NY • On-site

Full-time

Posted 14 days ago


Job description

Job Summary:
Graham Capital Management, L.P. is an alternative investment manager specializing in discretionary and quantitative macro strategies. They are seeking a Machine Learning Engineer to join their Data Science team, where the role involves developing innovative solutions using machine learning and advanced statistical methods to support quantitative research and trading operations.
Responsibilities:
• You will be part of a growing team within Data Science.
• You will work alongside world-class talent to find innovative solutions to some of the most interesting problems in the buy-side.
• You will work closely with other areas such as Technology, Quantitative Research and Portfolio Manager groups as well as Risk and Operations to learn about problems they face with respect to data and ultimately develop cutting edge solutions.
• Your focus will be to dive deep into multiple data sets to understand relationships, develop time series, forecasting models, and support quant strategies, and provide new insights and leverage state-of-the-art machine learning and advanced statistical methods to produce the best data sources for the fund.
Qualifications:
Required:
• Undergraduate or higher degree in Computer Science, Engineering, Operations Research, or other quantitative discipline
• 3+ years of hands-on experience with Machine Learning and Statistics on large, unstructured, data sets
• Experience writing production code for multi-client systems serving model results is a great plus
• Ability to clearly communicate research findings to technical and nontechnical stakeholders
• Full-stack experience with Python (preferred) or C++, Spark/Scala, SQL or other distributed data processing technologies as well as experience working comfortably building and deploying services and models in containerized environments
• Experience with scientific computing, statistics, optimization, time series, panel data, etc.
• Comfortable handling multiple projects to solve varied problems working with multiple teams
• Detail-oriented mindset
• Sense of ownership of his/her work, working well both independently as well as collaboratively
Company:
Who We Are & What We Do: Graham Capital Management, L.P. Founded in 1994, the company is headquartered in Norwalk, USA, with a team of 201-500 employees. The company is currently Growth Stage.