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Junior Full Stack Machine Learning Engineer Jobs in New York

Full-Stack Engineer (PhD Required)

New York, NY · On-site

$170K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading ... Our ML team is full of people with a shared love for the craft of software engineering, and for ...

Junior is a company building cutting-edge LLM-powered tools for investment research, serving top global private equity firms and consulting practices. They are seeking a Senior Full Stack Engineer to ...

Full-Stack Engineer (PhD Required)

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading ... Our ML team is full of people with a shared love for the craft of software engineering, and for ...

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:

Senior Machine Learning Engineer

New York, NY · On-site

$111K - $222K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

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 ...

Senior Software Engineer (Full Stack)

New York, NY · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Mentor junior engineers through technical coaching, code reviews, design reviews and engineering ... Preferred experience with machine learning, generative AI, large language models, or autonomous ...

Principal Machine Learning Engineer

Manhattan, NY · On-site

$233K - $350K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Technical Stack: Proficiency in Python, PyTorch/TensorFlow , and big-data processing (Spark ... Check out our full list of benefits here: * Generous paid time off. * An exciting and fulfilling ...

Principal Machine Learning Engineer

Manhattan, NY · On-site

$233K - $350K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Technical Stack: Proficiency in Python, PyTorch/TensorFlow , and big-data processing (Spark ... Check out our full list of benefits here: * Generous paid time off. * An exciting and fulfilling ...

Showing results 41-60

Junior Full Stack Machine Learning Engineer information

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

AspectJunior Full Stack Machine Learning EngineerJunior Data Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, works on both backend and frontendAnalyzes data, builds models, and visualizes insights, mainly in data analysis tools
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

While both roles involve working with data and machine learning, the Junior Full Stack Machine Learning Engineer focuses on building complete applications with ML components, including frontend and backend development. The Junior Data Scientist primarily analyzes data, creates models, and provides insights without necessarily developing full applications.

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 cities in New York are hiring for Junior Full Stack Machine Learning Engineer jobs?

Cities in New York with the most Junior 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 23 hours ago


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.