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Contract Machine Learning Startup Jobs (NOW HIRING)

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

Mclean, VA

$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

Reston, VA

$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

Columbia, MD · 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 ...

UnitX

Machine Learning Engineer

Milpitas, CA · On-site

UnitX is a fast-moving startup with a team from Stanford, MIT, Google, and beyond. Since inception ... machine learning models for computer vision in production. * Strong theoretical background and ...

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

... Startup. Our Culture Shipwell is a fast-paced, high-energy start-up that strives to build the ... About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ...

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How much do contract machine learning startup jobs pay per hour?

As of Jun 2, 2026, the average hourly pay for contract machine learning startup in the United States is $48.93, according to ZipRecruiter salary data. Most workers in this role earn between $41.11 and $50.72 per hour, depending on experience, location, and employer.

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

Success in a Contract Machine Learning Startup role generally requires expertise in machine learning algorithms, data analysis, and a solid background in computer science or related fields. Familiarity with programming languages such as Python or R, experience with ML frameworks like TensorFlow or PyTorch, and knowledge of cloud platforms (e.g., AWS, GCP) are typically expected. Strong problem-solving, adaptability, and effective communication help professionals collaborate with clients and respond to rapidly changing project requirements. These skills and qualities are vital to deliver innovative, scalable solutions in fast-paced, outcome-driven startup environments.

What are some common challenges faced by machine learning professionals working on a contract basis at startups?

Machine learning professionals working as contractors at startups often face challenges such as rapidly changing project scopes, limited access to large datasets, and the need to quickly adapt to new tools and frameworks. Startups typically move fast, so contractors must be comfortable with ambiguity and prioritize delivering value in short timeframes. Additionally, they may need to collaborate closely with cross-functional teams, such as product managers and engineers, to ensure that machine learning solutions align with business goals.

What is a Contract Machine Learning Startup?

A Contract Machine Learning Startup is a company or team that provides machine learning solutions and services to clients on a contract basis. Instead of developing their own products, these startups typically work with other businesses to build custom machine learning models, analyze data, and help integrate AI technologies into existing workflows. They may offer expertise in areas such as natural language processing, computer vision, or predictive analytics, and usually operate on short-term or project-based contracts. This approach allows client companies to access specialized knowledge without hiring full-time data scientists or engineers.

What is the difference between Contract Machine Learning Startup vs Data Scientist?

AspectContract Machine Learning StartupData Scientist
CredentialsRelevant degrees, certifications in ML/AITypically similar credentials, often with advanced degrees
Work EnvironmentProject-based, startup setting, flexible hoursOffice or remote, corporate or research settings
Employer & IndustryStartups in tech, AI, or data-driven sectorsVaried industries including tech, finance, healthcare
Search & Comparison IntentUnderstanding contract roles in ML startupsExploring data science career options

Contract Machine Learning Startup roles focus on short-term, project-based work within startup environments, often requiring specialized skills in ML and AI. Data Scientists typically work in more established companies or research settings, with similar credentials but often in a full-time capacity. Both roles demand strong technical backgrounds, but contract roles offer flexibility and varied projects, while Data Scientists may have more stability and broader responsibilities.

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What cities are hiring for Contract Machine Learning Startup jobs? Cities with the most Contract Machine Learning Startup job openings:
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What states have the most Contract Machine Learning Startup jobs? States with the most job openings for Contract Machine Learning Startup jobs include:
What job categories do people searching Contract Machine Learning Startup jobs look for? The top searched job categories for Contract Machine Learning Startup jobs are:
Contract Machine Learning Startup jobs near you

Machine Learning Engineer I

Scowtt

Seattle, WA

$100K - $150K/yr

Other

Posted 7 days ago

Job description

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 experiences. By integrating CRM, web signals, and product interaction data into a real-time conversion model, we help businesses turn interest into action—immediately. We're growing fast, and onboarding new customers quickly and cleanly is core to our success.

About the Role

We are looking for a motivated, entry-level Machine Learning Engineer to help build, train, and deploy ML models that power our Marketing AI and AI Sales Agent products. This role is ideal for new graduates or early-career engineers who want hands-on experience working on real ML systems in a fast-paced, collaborative startup environment.

What You'll Do
  • Assist in training, evaluating, and deploying ML models
  • Work with structured and behavioral data used in marketing and sales systems
  • Help automate and maintain data and ML pipelines
  • Collaborate with engineers to integrate ML models into AI agents
  • Debug, optimize, and improve model and pipeline performance
  • Learn how ML systems operate in real production environments (cloud, monitoring, iteration)
  • Follow and enforce security best practices, including secure coding, proper handling of sensitive data, authentication/authorization controls, and compliance with company security policies.

Qualifications:

Must Have

  • Bachelor's degree in Computer Science, ML, Data Science, or equivalent
  • 1-3 years of experience in data structures, algorithms
  • 1-3 years of experience with machine learning concepts and workflows
  • 1-3 years of experience in coding using Python with demonstrated strong coding skills

Should Have

  • Exposure to ML frameworks through coursework, projects, or internships
  • Curiosity, ownership mindset, and eagerness to learn

Nice to Have

  • Hands-on project or internship experience with real datasets
  • Exposure to cloud platforms (GCP or AWS)
  • Familiarity with tools like BigQuery, notebooks, or basic data pipelines
What Success Looks Like
  • You contribute to shipping ML models with guidance
  • You learn to debug data and model issues
  • You steadily increase independence and ownership
  • You build strong foundations in applied ML engineering

Pay range and compensation package Based on the level hired at, the cash compensation for this role ranges between $100,000 to $150,000. Selected candidate/s will be eligible for standard benefits and startup equity.

Scowtt is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. We are committed to providing a workplace free of discrimination and harassment. This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. For more information, please visit www.e-verify.gov.

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