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Founding Machine Learning Engineer Jobs in Commack, NY

Forhyre

Machine Learning Engineer

New York, NY

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

About the Role We are seeking a skilled and innovative Machine Learning Engineer to join our team. This person will implement and develop machine learning models to enhance our platform ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

About the Position Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. You ...

Jane Street

Machine Learning Engineer

New York, NY

About the Position Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. You ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their ...

Point72

Machine Learning Engineer

New York, NY · On-site

We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day ...

Point72

Machine Learning Engineer

New York, NY

We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their ...

PhysicsX

Machine Learning Engineer

New York, NY · On-site

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...

Capital One

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 ...

Plaid Inc

Machine Learning Engineer - Credit

New York, NY · On-site

$211K - $272K/yr

We're looking for machine learning engineers with experience applying state-of-the-art machine learning and modeling techniques, including natural language processing, anomaly detection, optimization ...

Jane Street

Machine Learning Engineer

New York, NY

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 ...

Canals

Machine Learning Engineer

New York, NY · On-site

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 ...

Canals

Machine Learning Engineer

New York, NY · Remote

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 ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

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 ...

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All JobsFounding Machine Learning Engineer JobsFounding Machine Learning Engineer Jobs in Commack, NY

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 Jul 27, 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 engineer makes $500,000 a year?

A founding machine learning engineer at top tech companies or successful startups can earn $500,000 or more annually, often including base salary, bonuses, and equity. Such roles typically require advanced skills in deep learning, data modeling, and experience with large-scale systems, along with a strong track record of innovation and leadership.

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 is a founding ML engineer?

A founding machine learning engineer is a key technical team member involved in building and developing the company's initial machine learning systems and infrastructure. They typically have strong skills in programming, data modeling, and deploying ML models, often working closely with product teams during the startup or early-stage company formation. This role requires a combination of technical expertise and entrepreneurial mindset to shape the company's AI capabilities from the ground up.

Is a machine learning engineer still in demand?

Yes, machine learning engineers are in high demand due to the increasing adoption of AI and data-driven solutions across industries. They are sought after for their skills in algorithms, programming, and tools like Python and TensorFlow, with job growth expected to continue as AI applications expand.

Which 5 jobs will survive AI?

Founding Machine Learning Engineers are likely to continue playing a crucial role as AI advances, focusing on developing and deploying complex models that require specialized skills in programming, data science, and system architecture. Jobs that involve high levels of creativity, strategic decision-making, and human interaction—such as healthcare professionals, educators, skilled trades, and roles in management—are also expected to persist despite AI automation. These positions typically require emotional intelligence, critical thinking, and adaptability that AI cannot easily replicate.

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.
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 job categories do people searching Founding Machine Learning Engineer jobs in Commack, NY look for? The top searched job categories for Founding Machine Learning Engineer jobs in Commack, NY 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:
Founding Machine Learning Engineer jobs near you

Founding Machine Learning Engineer

Adaptive Security

New York, NY • On-site

$90K - $120K/yr

Full-time

Medical, Retirement, PTO

Posted 14 days ago

Job description

About Adaptive
NVIDIA and OpenAI's only AI cybersecurity investment.
Adaptive is a cybersecurity startup on a mission to stop AI-powered cyberattacks. In December 2025, the company announced an $81M Series B led by NVIDIA and Bain Capital Ventures, with participation from Capital One Ventures, Citi Ventures, and continued support from Andreessen Horowitz (a16z), the OpenAI Startup Fund, and Abstract Ventures. The round marked NVIDIA's first AI cybersecurity investment.
Adaptive was founded by Brian Long and Andrew Jones, repeat entrepreneurs who have built and scaled category-defining companies. Brian and Andrew previously co-founded Attentive, which grew to more than $500M in annual revenue and a $10B+ valuation, and TapCommerce, which was acquired by Twitter. Together, they bring deep experience building high-growth, product-led businesses at massive scale as Adaptive builds the security layer for the AI era.
Trusted by leading banks, technology companies, and healthcare organizations, Adaptive protects teams from emerging threats like deepfakes, smishing, and AI-powered voice scams. With rapid enterprise adoption and a $200B+ market ahead, the company is just getting started.
Role
We are seeking a Founding ML Engineer to define and build Adaptive's ML capabilities. Our products use LLMs and ML models to detect, classify, and respond to cybersecurity threats in real time. The ML problems here are adversarial by nature. Attackers actively evolve to evade detection, labeled data is scarce for novel attack vectors, and models need to operate at production scale with strict latency constraints.
We don't have dedicated ML infrastructure or an ML team today. You'll be building this from the ground up. You will set the technical direction, stand up the infrastructure, and do the hands-on work yourself. You'll hire your first engineers and grow the function as our ML surface area expands this year and beyond.
Compensation
Adaptive has raised $146M from top-tier investors including BCV, a16z, NVIDIA, and OpenAI. Our roadmap depends on standing up an ML function that doesn't yet exist, and we're ready to compensate accordingly. Expect market level compensation and huge ownership over the ML platform from day one.
Responsibilities
  • Define Adaptive's ML strategy: where ML should be applied across our products, what infrastructure we need, and how we should approach build vs. buy decisions.
  • Design and build production ML systems end-to-end - data pipelines, model training, evaluation frameworks, and inference serving.
  • Establish evaluation methodology. Define how we measure model quality, catch regressions, and make data-driven decisions about model changes.
  • Own the strategy for getting the data you need, in the format you need it - what/how to label, how to build feedback loops, and how our models improve over time.
  • Partner with product engineers to integrate ML into the product. You will write production code and work within our existing codebase.
  • Build and lead the ML team as scope grows.

Qualifications
  • 8+ years of experience building ML systems in production, ideally with experience standing up the ML function at an early stage startup or as the senior or lead ML person at a previous company.
  • Strong software engineering fundamentals. You write production-quality code in modern languages (Python, Java, TypeScript) and work within large codebases.
  • Experience with cloud ML infrastructure (AWS SageMaker, Bedrock, Modal, Baseten, or similar).
  • Experience with common ML and data processing frameworks (PyTorch, Tensorflow, Spark)
  • Comfortable working across the stack - infrastructure, backend services, and data systems.
  • Track record of mentoring MLEs and other engineers with observable, clear improvements in those you've worked with.
  • High autonomy. You'll have support and context from leadership, but you're expected to define the path forward and drive it.

Compensation & Benefits:
  • Competitive cash compensation and meaningful stock.
  • Several medical plans to choose from, most covered at 100% by Adaptive.
  • 401k through Vestwell.
  • Unlimited PTO, including winter break from Dec 24 - Jan 1.
  • A fantastic office atmosphere including coffee, espresso, lounge, snacks, whiteboards, and tons of conference space.
  • Rotating choice of 4 free lunch options from local restaurants every day.
  • Expense dinner if you're in the office past 7pm. Expense Uber if you happen to stay past 9pm.

Apply