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Machine Learning Engineer Hybrid Jobs in New York

As a Machine Learning Engineer at WireScreen, you will be working across our data systems to unlock ... Hybrid office schedule designed to give you flexibility while staying connected with your team #J ...

Lead Machine Learning Engineer

Manhattan, NY · On-site

$112K - $148K/yr

Senior Lead Machine Learning Engineer, Entry & Re-engagement 45724 Overview We are looking for a ... Architect Hybrid Retrieval Systems: Develop multi-stage retrieval pipelines that successfully merge ...

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 an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Understanding of both modern and classic machine learning techniques * Equally comfortable with ... Hybrid role based in New York City. Some travel may be required. Diverse teams build better ...

ABOUT THE ROLE As a Machine Learning Engineer in FOX Forward Deployed, you will rotate across two ... Familiarity with data pipelines or distributed systems #DTC #Ll-KD1 #Ll-Hybrid We are an equal ...

About the role We are seeking a Machine Learning Engineer to strengthen our element classification ... This is a hybrid role requiring 3+ days in-office in New York City. What You'll Do * Lead a team ...

Machine Learning Engineer

New York, NY · On-site

$160K - $210K/yr

About the role We are seeking a Machine Learning Engineer to strengthen our element classification ... This is a hybrid role requiring 3+ days in-office in New York City . What You'll Do : * Lead a team ...

Machine Learning Engineer

New York, NY · On-site

$150K - $195K/yr

As a Machine Learning Engineer at WireScreen, you will be working across our data systems to unlock ... Hybrid office schedule designed to give you flexibility while staying connected with your team

We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine ...

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...

Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics Foundation Models: Design and train deep learning ...

Showing results 21-40

Machine Learning Engineer Hybrid information

What is the difference between Machine Learning Engineer Hybrid vs Data Scientist?

AspectMachine Learning Engineer HybridData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops, tests, deploys ML models; collaborates with engineering teamsAnalyzes data, builds models, interprets results; works across departments
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

Machine Learning Engineer Hybrid focuses on developing and deploying ML models within engineering environments, often requiring coding and deployment skills. Data Scientists analyze data, build models, and interpret results, often in research or strategic roles. While both roles require strong analytical skills and knowledge of ML, the Engineer Hybrid emphasizes deployment and integration, whereas Data Scientists focus on data analysis and insights.

What cities in New York are hiring for Machine Learning Engineer Hybrid jobs? Cities in New York with the most Machine Learning Engineer Hybrid job openings:

Machine Learning Engineer

WireScreen

Manhattan, NY • On-site

$120 - $150/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 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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