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Executive Full Stack Machine Learning Engineer Jobs in New York

Machine Learning Engineer

Manhattan, NY · On-site

$120 - $150/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Check out this blog from our CEO on how WireScreen traced DeepSeek's origins back to 2023--well before it went mainstream in 2025. About The Role: As a Machine Learning Engineer at WireScreen, you ...

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

$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 Machine Learning Engineer

Brooklyn, NY · On-site +1

$130K - $200K/yr

Y-Combinator, Susa Ventures, Tribe Capital etc...) and executives (e.g. Google, Amazon, Uber ... We are looking for a machine learning engineer to design, build, experiment and optimize Shaped ...

Y-Combinator, Susa Ventures, Tribe Capital etc...) and executives (e.g. Google, Amazon, Uber ... We are looking for a machine learning engineer to design, build, experiment and optimize Shaped ...

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

$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 ...

About The Role We're looking for a machine learning engineer to own data‑driven systems across ... Comfortable across the stack: SQL, Python, model serving, basic infra. * Track record of moving ...

Build full-stack applications (backend, frontend, data layer, infra, deployment, and monitoring ... Data processing and Machine learning fundamentals (pandas, Sklearn, pytorch/tensorflow, model ...

Build full-stack applications (backend, frontend, data layer, infra, deployment, and monitoring ... Data processing and Machine learning fundamentals (pandas, Sklearn, pytorch/tensorflow, model ...

Showing results 41-60

Executive Full Stack Machine Learning Engineer information

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

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

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 Executive Full Stack Machine Learning Engineer jobs?

Cities in New York with the most Executive Full Stack Machine Learning Engineer job openings:

Infographic showing various Executive Full Stack Machine Learning Engineer job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Machine Learning Engineer

WireScreen

Manhattan, NY • On-site

$120 - $150/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago


Job description

WireScreen is a fast-growing Series A startup bringing clarity to one of the world’s most complex business landscapes. We’re building the go-to intelligence platform for navigating global supply chains and China-related risk—revealing the networks, relationships, and financial ties behind companies so our customers can see connections, remove obstacles, and make confident decisions.

Backed by Sequoia Capital and Harpoon Ventures, our team includes a two-time Pulitzer Prize–winning journalist and senior engineers from Google, Twitter, and Oracle. We launched just three years ago and already have strong traction with top-tier government customers—and we’re just getting started. If you’re excited to make global systems more transparent and secure, now’s the perfect time to join us.

Check out this blog from our CEO on how WireScreen traced DeepSeek’s origins back to 2023—well before it went mainstream in 2025.

About The Role:

As a Machine Learning Engineer at WireScreen, you will be working across our data systems to unlock the source of truth behind one of the world’s economic powerhouses: China. This role is critical to building models that support the two fundamental pieces of our business: entity resolution and our knowledge graph. These systems are the cornerstones that uncover hidden connections within the Chinese economy. You will be contributing to our existing MCP servers and agentic pipelines to classify, cluster and enrich across millions of entities. You will be working with engineering, product and research to expand our AI toolkit, scaling our data ingestion processes, building analytics and insights into our platform at a scale not previously achievable.

Reporting directly to the VP of Engineering, you will work with our data team, enrichment team and product to establish our source of truth and expand our machine learning capabilities.

What You'll Do:
  • Fine tune our existing entity resolution algorithms to uncover hidden connections between people and organizations across China

  • Expand our knowledge graph with alternative data to map out the power structure of China

  • Train, test and deploy ML models that operate on tens of millions of records daily

  • Work with Product to define and implement evaluation harnesses for classical ML and agentic systems

  • Build agent workflows into internal tools to improve the scale and speed of our Research team

What we’re looking for:
  • 4+ years of experience working on clustering-type ML problems, ideally in the domain of knowledge graphs / entity resolution, but other domains could include; recommendation engines, cohort analysis, outlier/anomaly detection

  • End-to-end machine learning model experience in production; that you’ve stood up a service including experimenting, training, testing and tuning a job against a dataset all the way through to deployment and beyond. Model families could include clustering, classification/regression, dimensionality reduction and embeddings, nearest-neighbor/similarity methods (e.g. KNN, SVM), ensembles, NLP, and deep learning.

  • Significant experience with python programming and SQL

Nice to have:
  • Experience working with Frontier/SOTA models and/or fine-tuning your own LLMs for specific tasks

  • Working on problems across large, heterogeneous, messy unstructured datasets and/or with semantic search, computer vision (especially OCR), or linear optimization problems

  • Experience with any of the following technologies: PySpark, Temporal, FastAPI, Scikit-learn, NumPy, Docker, Terraform, Kubernetes

  • Early-stage startup experience (Series B or earlier)

  • B2B SaaS experience

What You'll Love About Wirescreen

At WireScreen, you'll do high-impact work that helps shape the global economy and power competition. We’re a mission-driven team with a growth mindset—curious, collaborative, and unafraid to take on bold challenges. You’ll be empowered to act, heard when you speak, and supported as you grow. With strong market momentum and ambitious goals, this is an exciting time to join us and help build something that truly matters.

Benefits & Perks

At WireScreen, we care deeply about our team and are committed to supporting your well-being—both in and out of the workplace. Here’s how we take care of our employees:

  • Competitive compensation including salary, equity, and rapid growth potential

  • 100% company-paid Medical, Dental, and Vision coverage for employees

  • FSA, HSA, and 401(k) options to help you plan for healthcare expenses and retirement

  • Generous paid time off plus company-wide holidays to help you rest and recharge

  • Pre-tax commuter benefits to help you save on transit and parking

  • Hybrid office schedule designed to give you flexibility while staying connected with your team

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