They are seeking a Founding Machine Learning Engineer to define and build their ML capabilities, including establishing infrastructure and leading the ML team to detect and respond to cybersecurity ...
They are seeking a Founding Machine Learning Engineer to define and build their ML capabilities, including establishing infrastructure and leading the ML team to detect and respond to cybersecurity ...
Founding Machine Learning Engineer
Manhattan, NY · On-site
$140 - $210/hr
As a founding team member, you'll play a critical role in shaping our technology, culture, and ... Have strong experience in AI, robotics, machine learning, or agentic systems. * Are highly ...
Founding Machine Learning Engineer
Manhattan, NY · On-site
$140 - $210/hr
As a founding team member, you'll play a critical role in shaping our technology, culture, and ... Have strong experience in AI, robotics, machine learning, or agentic systems. * Are highly ...
Founding Machine Learning Engineer
New York, NY · On-site
$90K - $120K/yr
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.
Founding Machine Learning Engineer
New York, NY · On-site
$90K - $120K/yr
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.
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 ...
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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 ...
Machine Learning Engineer
Manhattan, NY · On-site
$90 - $130/hr
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Machine Learning Engineer
Manhattan, NY · On-site
$90 - $130/hr
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Manhattan, NY · On-site
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Machine Learning Engineer
Manhattan, NY · On-site
$170.17 - $255.26/hr
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New York, NY · On-site +1
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Manhattan, NY · On-site
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Armonk, NY · On-site
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Armonk, NY · On-site
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Manhattan, NY · On-site
$200K/yr
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Manhattan, NY · On-site
$200K/yr
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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 ...
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New York, NY · On-site
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Senior Machine Learning Engineer
Brooklyn, NY · On-site +1
$130K - $200K/yr
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Senior Machine Learning Engineer
Brooklyn, NY · On-site +1
$130K - $200K/yr
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Manhattan, NY · On-site
They are seeking a Machine Learning Engineer focused on MLOps to operationalize and scale their machine learning systems, working closely with research-oriented teammates to create reliable ...
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Manhattan, NY · On-site
They are seeking a Machine Learning Engineer focused on MLOps to operationalize and scale their machine learning systems, working closely with research-oriented teammates to create reliable ...
Senior Machine Learning Engineer
Brooklyn, NY · On-site
$130K - $200K/yr
You will be a founding engineer that works on cutting-edge technologies and research, and applies ... a machine learning or data science role * Proficient with Python, SQL * Have the willingness to ...
Senior Machine Learning Engineer
Brooklyn, NY · On-site
$130K - $200K/yr
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New York, NY · On-site
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New York, NY · On-site
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New York, NY · On-site
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Founding Machine Learning Engineer information
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.
How much does a founding machine learning engineer make?
A founding machine learning engineer typically earns between $120,000 and $180,000 annually, depending on experience, location, and company size. Equity and bonuses are also common components of compensation, especially in startup environments where they play a significant role in total earnings.
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.
What are popular job titles related to Founding Machine Learning Engineer jobs in New York? For Founding Machine Learning Engineer jobs in New York, the most frequently searched job titles are:
- Remote Senior Machine Learning Engineer
- Hourly Remote Machine Learning Engineer
- Remote Machine Learning Engineer
- Contract Machine Learning Engineer
- Machine Learning Engineer Biotech
- Machine Learning Engineer Apprenticeship
- Machine Learning Engineer Intern
- Urgently Hiring Machine Learning Engineer New Grad
- Senior Machine Learning Engineer
- Google Cloud Machine Learning Engineer
What job categories do people searching Founding Machine Learning Engineer jobs in New York look for? The top searched job categories for Founding Machine Learning Engineer jobs in New York are:
- Research Machine Learning Federated Learning
- Machine Learning Ops Engineer
- Freelance Google Machine Learning Engineer
- Gpu Engineer Salary
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- Bayesian Modeling
- Remote Google Machine Learning Engineer
- Senior Tesla Machine Learning Engineer
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What cities in New York are hiring for Founding Machine Learning Engineer jobs? Cities in New York with the most Founding Machine Learning Engineer job openings:
Full-time
Re-posted 28 days ago
Job description
Job Summary:
Adaptive Security is a cybersecurity startup focused on preventing AI-powered cyberattacks. They are seeking a Founding Machine Learning Engineer to define and build their ML capabilities, including establishing infrastructure and leading the ML team to detect and respond to cybersecurity threats in real time.
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:
Required:
• 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.
Company:
Adaptive Security provides training and phishing simulations to help organizations strengthen human defenses against evolving cyber threats. Founded in 2023, the company is headquartered in New York, USA, with a team of 201-500 employees. The company is currently Growth Stage.
Adaptive Security is a cybersecurity startup focused on preventing AI-powered cyberattacks. They are seeking a Founding Machine Learning Engineer to define and build their ML capabilities, including establishing infrastructure and leading the ML team to detect and respond to cybersecurity threats in real time.
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:
Required:
• 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.
Company:
Adaptive Security provides training and phishing simulations to help organizations strengthen human defenses against evolving cyber threats. Founded in 2023, the company is headquartered in New York, USA, with a team of 201-500 employees. The company is currently Growth Stage.