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Freelance Full Stack Machine Learning Engineer Jobs in New York

We are seeking a highly skilled Full-Stack Engineer to join our AI Platform Team . The ideal ... Work closely with data scientists and machine learning engineers to integrate cutting-edge AI ...

As a Zenlaw Full-Stack Engineer you will: * Develop new features working with cross-functional ... Python (machine learning, Natural Language Processing, string manipulation) You care about:

This role offers the opportunity to work alongside experienced ML engineers and data scientists, gaining hands-on experience with the full machine learning lifecycle--from data preparation and model ...

We're looking for a Senior Machine Learning Engineer to help build and scale the next generation of ... with full-stack framework (e.g, Node.js, React) Experience with distributed modeling Education ...

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112K - $148K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

Own the full ML lifecycle : Take projects from ideation to production, including feature ... Experience with packaging, CI/CD and pipeline automation. Tech stack : Our ML pipeline manages ...

Showing results 41-60

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 are popular job titles related to Freelance Full Stack Machine Learning Engineer jobs in New York?

For Freelance Full Stack Machine Learning Engineer jobs in New York, the most frequently searched job titles 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:

Full-Stack Engineer (PhD Required)

Accrete

New York, NY • On-site

$170K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 21 days ago


Key responsibilities

  • Design, develop, and optimize scalable AI and machine learning infrastructure.

  • Build and maintain high-performance, distributed systems for AI model training and inference.

  • Work closely with data scientists and machine learning engineers to integrate AI research into production environments.


Job description

Office Location: Lower Manhattan, NY (4 days per week in the office)

PhD Required

Accrete is an agentic managed services company: an AI workforce that does high-stakes, judgement-heavy work for government and enterprise clients at the economics of software, not labor.

At the core is Accrete's Knowledge Engine, a dynamic context graph that captures an organization's tacit knowledge, resolves data across silos, and builds a living, auditable ground truth. Expert agents reason against that ground truth to act on complex, high-stakes decisions not just answer questions about them.

From national security to commercial operations, Accrete delivers the work on one platform, with unlimited expert agents and expert judgement.

Role Overview:

We are seeking a highly skilled Full-Stack Engineer to join our AI Platform Team. The ideal candidate will have a PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field and a strong background in designing and building AI-driven systems. This role will focus on developing scalable AI infrastructure, optimizing deep learning pipelines, and deploying robust machine learning solutions in production environments.

Responsibilities:
  • Design, develop, and optimize scalable AI and machine learning infrastructure.
  • Build and maintain high-performance, distributed systems for AI model training and inference.
  • Develop and implement novel algorithms to improve AI model efficiency and accuracy.
  • Work closely with data scientists and machine learning engineers to integrate cutting-edge AI research into production environments.
  • Ensure reliability, security, and performance of AI-driven applications.
  • Collaborate with cross-functional teams to align AI solutions with business needs.
  • Stay up to date with the latest advancements in AI and software engineering.
Requirements:
  • PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Strong programming skills in Python, C++, or Java.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or JAX.
  • Proficiency in distributed computing and experience with cloud platforms (AWS, GCP, Azure).
  • Deep understanding of deep learning architectures, model optimization, and neural network deployment.
  • Experience with containerization and orchestration tools (Docker, Kubernetes) is a plus.
  • Knowledge of data pipelines, ETL workflows, and large-scale data processing.
  • Strong problem-solving skills, analytical thinking, and ability to work in a fast-paced environment.

Salary Range: 170k-210k

The salary range provided reflects the estimated compensation for this role based on the expected qualifications and experience level. The final offer may vary depending on factors such as skills, experience, and alignment with role requirements.

Core Values & Expectations: Impact

You take full ownership and accountability for your work, consistently seeing projects through from inception to completion with a strong bias for action. Proactively identifying challenges, you drive solutions rather than waiting for direction, and hold yourself and others to the highest standards for delivering results. With strategic thinking and a problem-solving mindset, you make informed decisions leveraging data and expertise, always looking for ways to improve processes, optimize workflows, and enhance outcomes beyond your immediate responsibilities. 

Collaboration

You work seamlessly across teams, prioritizing shared goals and team success over individual credit. Engaged listening and open, candid communication are at the heart of your approach, ensuring alignment and synergy throughout the organization. You value diverse perspectives, seeking input from others to drive better results. By treating colleagues with respect and professionalism, you help build a culture of trust, supporting each other through challenges, celebrating successes, and constructively addressing conflicts to strengthen relationships and improve outcomes.

Passion for AI & Innovation

You are deeply excited about the transformative potential of AI and committed to contributing to a company shaping the future of work. With curiosity and a growth mindset, you continuously seek to learn, adapt, and stay at the forefront of new developments. Your enthusiasm for innovation drives you to explore new ideas, challenge the status quo, and find creative solutions that deliver meaningful impact. You approach your work with energy and a desire to advance both technology and the way we work.

Company Benefits

  • Competitive Salary: Aligned with experience and market standards
  • Comprehensive Insurance: Health, dental, and vision coverage for you and your family
  • 401(k) Plan: Build your financial future with our retirement savings plan
  • Growth & Development: Access professional learning opportunities and career advancement support
  • Onsite Perks: Enjoy catered lunches, snacks, and a fully stocked kitchen
  • Team Bonding: Company-sponsored happy hours and social events to connect and unwind

Accrete is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.