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Founding Machine Learning Engineer Jobs in Commack, NY

Machine Learning Engineer

New York, NY ยท On-site

$150K - $195K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Machine Learning Engineer II

New York, NY ยท On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking a mid-level Machine Learning Engineer to help develop and scale RAG systems across the company. This is a hands-on, full-lifecycle ML role with a strong emphasis on retrieval models ...

Machine Learning Engineer II

New York, NY ยท On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking a mid-level Machine Learning Engineer to help develop and scale RAG systems across the company. This is a hands-on, full-lifecycle ML role with a strong emphasis on retrieval models ...

Machine Learning Engineer

New York, NY ยท On-site

$205K - $235K/yr

  • Retirement

The Opportunity Good Inside is seeking a Machine Learning Engineer to join our Engineering team. This is not a research or data science role - we're looking for a strong backend engineer who has ...

Machine Learning Engineer

New York, NY ยท On-site

$205K - $235K/yr

  • Retirement

The Opportunity Good Inside is seeking a Machine Learning Engineer to join our Engineering team. This is not a research or data science role - we're looking for a strong backend engineer who has ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Machine Learning Engineer

New York, NY ยท On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

New

We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy machine learning models that power core products, serving millions of Snapchatters * Apply modern ML ...

We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy machine learning models that power core products, serving millions of Snapchatters * Apply modern ML ...

DR - We're building humanity's defense layer for the AI age and are looking for an exceptional machine learning engineer to build the AI decision system that turns raw signals into trusted ...

Machine Learning Engineer

New York, NY ยท On-site

$200K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Our founding engineers led Foundry's core systems - Ontology, Fusion, Workshop, FoundryML, created ... Learning budget - attend any conference, course, or program that makes you better at what we're ...

Senior Machine Learning Engineer

New York, NY ยท On-site

$244K - $320K/yr

About the Role Our Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands. As a Senior Machine Learning Engineer, you will ...

Machine Learning Engineer

New York, NY ยท On-site

$240K/yr

  • Retirement

  • PTO

DR - We're building humanity's defense layer for the AI age and are looking for an exceptional machine learning engineer to build the AI decision system that turns raw signals into trusted ...

Showing results 41-60

Founding Machine Learning Engineer information

See Commack, NY salary details

$32.6K

$133.3K

$200.4K

How much do founding machine learning engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for founding machine learning engineer in Commack, NY is $133,346.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $160,500.00 per year, depending on experience, location, and employer.

What is a founding machine learning engineer?

A Founding Machine Learning Engineer is one of the first technical team members at a startup who specializes in designing, building, and deploying machine learning systems. This role involves working closely with the founders to set the technical direction, build core AI products, and establish best practices for data and model development. In addition to hands-on coding and experimentation, a Founding Machine Learning Engineer often influences product decisions and helps shape the company's engineering culture. The role typically requires a blend of deep technical expertise, startup agility, and a willingness to tackle both high-level strategy and low-level engineering tasks.

What are some unique challenges and expectations for a founding machine learning engineer in an early-stage startup?

As a Founding Machine Learning Engineer, you'll face the unique challenge of building the company's machine learning infrastructure from the ground up, often with limited resources and rapidly evolving requirements. You'll be expected to wear many hats, from designing and deploying models to setting up data pipelines and collaborating closely with product and engineering teams. Your role will also involve making critical decisions about technology stacks and best practices that will shape the company's technical direction. Additionally, you'll have significant influence on the company's culture and have ample opportunities for growth as the team expands.

What are the key skills and qualifications needed to thrive as a founding machine learning engineer, and why are they important?

To thrive as a Founding Machine Learning Engineer, you need deep expertise in machine learning algorithms, software engineering, and data science, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and experience deploying ML models in production are typically required. Strong problem-solving abilities, entrepreneurial mindset, and excellent communication skills set standout candidates apart. These skills and qualities are vital for driving innovation, building scalable solutions from scratch, and collaborating within a fast-paced startup environment.

Are founding machine learning engineers still in demand?

Founding machine learning engineers remain in high demand as companies seek to develop AI-driven products and services. They often require strong skills in deep learning, data modeling, and proficiency with tools like TensorFlow or PyTorch, with demand driven by growth in AI applications across industries.

How much does a founding machine learning engineer make?

A founding machine learning engineer typically earns between $100,000 and $180,000 annually, depending on experience, location, and company size. Equity and bonuses may also be part of the compensation package, especially in startup environments where they play a significant role in total earnings.

What are popular job titles related to Founding Machine Learning Engineer jobs in Commack, NY?

For Founding Machine Learning Engineer jobs in Commack, NY, the most frequently searched job titles are:

What cities near Commack, NY are hiring for Founding Machine Learning Engineer jobs?

Cities near Commack, NY with the most Founding Machine Learning Engineer job openings:

Machine Learning Engineer

WireScreen

New York, NY โ€ข On-site

$150K - $195K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 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.
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
    #LI-LG1
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