ZipRecruiter

Log In

1

Machine Learning Startup Jobs (NOW HIRING)

EarnIn

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 ...

Neurable, INC

Machine Learning

Cambridge, MA · On-site

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 ...

Capital Rx

Machine Learning Engineer

Manhattan, NY · On-site +1

Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that ... Good understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based ...

Neurable, INC

Machine Learning

Cambridge, MA · On-site

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 ...

Scowtt

Machine Learning Engineer I

Seattle, WA

$100K - $150K/yr

Machine Learning Engineer I Seattle Scowtt is an early-stage startup transforming the way businesses convert leads into customers through AI/ML marketing optimization and fully autonomous sales ...

GPTZero

Machine Learning Intern

New York, NY · On-site

Bonus: * strong open-source portfolio * publications at top-tier ML venues * experience working in an early-stage startup environment * understanding of how machine learning models fail in the wild ...

Razor Talent

Machine Learning Engineer

Reston, VA · On-site

$2K/mo

Machine Learning Engineer Our clients, a rapidly growing AI-focused software development company ... Operates with a startup mentality focused on technical depth, creative problem-solving, and ...

Razor Talent

Machine Learning Engineer

Mclean, VA · On-site

$2K/mo

Machine Learning Engineer Our clients, a rapidly growing AI-focused software development company ... Operates with a startup mentality focused on technical depth, creative problem-solving, and ...

next page

Showing results 1-20

People also search for

All JobsMachine Learning Startup Jobs

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 3, 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 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.

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.
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:
What job categories do people searching Machine Learning Startup jobs look for? The top searched job categories for Machine Learning Startup jobs are:
Machine Learning Startup jobs near you
Infographic showing various Machine Learning Startup job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Temporary. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Head of Machine Learning

Head of Machine Learning

EarnIn

Mountain View, CA • Hybrid

$477K - $583K/yr

Other

Posted 12 days ago

Job description

POSITION SUMMARY 

We are seeking an experienced and visionary Head of Machine Learning to lead and scale our machine learning efforts across the company. As a fintech company where data and machine learning (ML) is integral to both our business strategy and user experience, we depend on robust, scalable systems to drive impactful decisions and deliver exceptional customer value. Our mission is to pioneer success stories through the application of generative AI and state-of-the-art machine learning algorithms, thereby generating transformative business and societal impact.

The Head of ML will drive operational excellence across our machine learning systems by defining and executing a vision that moves models from research to production with strong performance, reliability, and maintainability. The ideal candidate will bring a proven track record of deploying ML models at scale, particularly in fast-paced startup environments. This leader should have a strong coding foundation, deep familiarity with production-grade ML engineering practices, and the ability to bridge theoretical concepts with practical implementation. While the role is primarily strategic and operational, it also requires a willingness to be hands-on and contribute code when needed to support the team and accelerate key initiatives.

The Mountain View base salary range for this full-time position is $477,000 to $583,000, plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Mountain View, requiring in-office work 2 days a week.

WHAT YOU'LL DO 

  • Define and own the machine learning roadmap in alignment with business goals.
  • Lead the ML organization, consisting of multiple teams, to design, develop, and optimize ML-based models and systems.
  • Drive a culture of scientific and engineering rigor and real-world pragmatism in your team's work, particularly to quantify the impact of features on relevant engagement metrics.
  • Collaborate with software engineers, data engineers, product managers, and marketing to coordinate timely deployments from conception to release

WHAT WE'RE LOOKING FOR 

  • MS or Ph.D. degree in Computer Science, Statistics, or a related technical field, and or equivalent work experience
  • 12+ years of experience in Engineering or Scientific domains,
  • 7+ years of experience as a team builder and leader in hiring, developing, and managing high-performing teams
  • Extensive breadth and depth of knowledge of machine learning algorithms
  • Industry experience building and productionizing machine learning systems
  • Advanced knowledge of Python, SQL
  • Strong oral and written communication skills

#LI-Hybrid

Apply