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Machine Learning Startup Jobs (NOW HIRING)

Company Description PatternAI is an automated machine learning platform that reveals critical ... Additional Information About PatternAI PatternAI is an early stage startup that is growing rapidly ...

Company Description PatternAI is an automated machine learning platform that reveals critical ... Additional Information About PatternAI PatternAI is an early stage startup that is growing rapidly ...

As a Machine Learning Engineer, you will develop state-of-the-art AI intelligence solutions and ... Atoms is a robotics startup that develops industrial robotics and physical AI systems to automate ...

Poesis Machine Learning Engineer At Poesis, machine learning and artificial intelligence open the ... Prior experience at a frontier AI lab, agentic startup, leading hedge fund, big tech company, or ...

Machine Learning

Mountain View, CA · On-site

$220K - $331K/yr

The MAIST is a startup-like team inside Microsoft AI , created to push the boundaries of AI toward ... Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field AND 2+ year(s ...

Machine Learning Engineer At Leash Biosciences, we are at the cutting edge of integrating machine ... forward in a startup environment. * Excellent collaboration skills, with the ability to work ...

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

About the Role At Poesis, machine learning and artificial intelligence open the door to improved ... Prior experience at a frontier AI lab, agentic startup, leading hedge fund, big tech company, or ...

Machine Learning Engineer

Chicago, IL · On-site

$160K - $220K/yr

Coinflow is seeking a Machine Learning Engineer to help build the intelligence layer that powers ... Experience as an early data/ML hire at a startup * Experience working with high-volume behavioral ...

Machine Learning Engineer

Chicago, IL · On-site

$160K - $220K/yr

Coinflow is seeking a Machine Learning Engineer to help build the intelligence layer that powers ... Experience as an early data/ML hire at a startup * Experience working with high-volume behavioral ...

Machine Learning Engineer

OR · Remote

$100K - $200K/yr

Position Overview As a Machine Learning Engineer, you will be instrumental in crafting and refining ... startup, we want to hear from you! Join us in transforming the way lawyers work with AI-driven ...

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the ... We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would ...

Head of Machine Learning

Mountain View, CA · Hybrid

$477K - $583K/yr

... fast-paced startup environments. This leader should have a strong coding foundation, deep ... Define and own the machine learning roadmap in alignment with business goals. * Lead the ML ...

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the ... We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would ...

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Machine Learning Startup information

See salary details

$25.5K

$42.6K

$88K

How much do machine learning startup jobs pay per year?

As of Jun 20, 2026, the average yearly pay for machine learning startup in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Startup position, and why are they important?

To succeed in a Machine Learning Startup, a strong background in computer science, statistics, and applied mathematics is essential, along with practical experience building and deploying machine learning models. Proficiency in tools such as Python, TensorFlow, PyTorch, and cloud-based platforms, as well as familiarity with data versioning and model deployment systems, is highly valuable. Adaptability, entrepreneurial thinking, and strong communication skills are crucial for thriving in the dynamic startup environment. These competencies enable effective product development, rapid iteration, and impactful collaboration within a fast-paced, resource-constrained setting.

What are the typical responsibilities and daily challenges when working at a Machine Learning Startup?

At a Machine Learning Startup, your daily tasks often include collecting and preprocessing data, training and validating models, collaborating with engineers to deploy solutions, and iterating rapidly based on feedback and performance metrics. You may also contribute to brainstorming sessions, product roadmapping, and customer discovery processes. Common challenges include working with limited labeled data, balancing research with production needs, and managing shifting priorities as the business pivots or scales. This dynamic environment provides a valuable opportunity to make a tangible impact, develop a broad skill set, and gain exposure to multiple aspects of both technology and entrepreneurship.

What is a Machine Learning Startup job?

A Machine Learning Startup job typically involves working in a fast-paced, early-stage company focused on developing and applying machine learning technologies. Employees may take on diverse responsibilities, including data collection, model development, algorithm optimization, and deployment. Since startups require adaptability, roles often blend research, engineering, and business-oriented problem-solving. These positions offer opportunities to work on cutting-edge innovations but may also demand long hours and rapid prototyping.

More about Machine Learning Startup jobs
What cities are hiring for Machine Learning Startup jobs? Cities with the most Machine Learning Startup job openings:
What are the most commonly searched types of Machine Learning Startup jobs? The most popular types of Machine Learning Startup jobs are:
What states have the most Machine Learning Startup jobs? States with the most job openings for Machine Learning Startup jobs include:

Machine Learning Engineer

She Recruits LLC

San Francisco, CA

$130K - $200K/yr

Other

Medical, Dental, Vision, Life

Posted 13 days ago


Job description

Machine Learning Engineer
Location: San Francisco, CA
Salary Range: $130,000 - $200,000
About Us:
Join our innovative AI company in San Francisco, where we're redefining how knowledge is accessed and understood. We're looking for a passionate Machine Learning Engineer with a deep understanding of machine learning, an experimental mindset, and the drive to thrive in a fast-paced startup environment.
Key Responsibilities:
  • Develop and train state-of-the-art machine learning models, optimizing them to tackle complex real-world problems.
  • Design and implement an RLAIF (Reinforcement Learning from AI Feedback) pipeline to enhance our search functionalities.
  • Dive into new model architectures-have a novel idea? Prototype it, test it, and see how it stacks up against existing solutions!
  • Work with extensive datasets, crafting large-scale, high-quality data solutions to power our models.
Requirements:
  • Experience: 2-15 years in a commercial ML role; startup orientation and enthusiasm for AI innovation are highly valued over years alone.
  • Technical Proficiency: Advanced skills in Python and frameworks such as TensorFlow, PyTorch, Keras, and/or scikit-learn.
  • Specialized Skill: Ability to code a transformer from scratch in PyTorch.
  • Education: Graduate-level machine learning experience from a top-tier university (proof of grades required).
  • Mindset: A strong commitment to improving knowledge accessibility, with a keen understanding of its global impact.
What We Offer:
  • Compensation: Competitive salary up to $200k, with equity options.
  • Benefits: Comprehensive medical, dental, vision, and life insurance.
  • Wellness: Gym reimbursement and nutritious office lunches and dinners.

Come contribute to an AI future that brings knowledge closer to everyone-apply today to be a part of our journey!