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Machine Learning Startup Jobs (NOW HIRING)

Razor Talent

Machine Learning Engineer

Columbia, MD

$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 ...

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 ...

Second Renaissance

Machine Learning Engineer

Oakland, CA · On-site +1

... machine learning or natural language processing background (e.g. experience with information ... startup mindset. We expect to measure our impact in part by the people whose lives we improve ...

New

Vilya

Machine Learning Engineer

Seattle, WA

$154K - $174K/yr

Develop and maintain the infrastructure to support machine learning workflows for drug discovery at ... Opportunity to work in a disruptive startup with a talented, experienced, and dedicated team ...

HADRIAN

Machine Learning Engineer

Los Angeles, CA

$160K - $250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Prior experience working in a startup environment Compensation For this role, the target salary ...

Hadrian Automation

Machine Learning Engineer

Los Angeles, CA · On-site

$160K - $250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Prior experience working in a startup environment Compensation For this role, the target salary ...

HADRIAN

Machine Learning Engineer

Los Angeles, CA

$160K - $250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Prior experience working in a startup environment Compensation For this role, the target salary ...

Scowtt Inc

Machine Learning Engineer I

Seattle, WA · On-site

$100K - $150K/yr

About Scowtt Scowtt is an early-stage startup transforming the way businesses convert leads into ... About the Role We are looking for a motivated, entry-level Machine Learning Engineer to help build ...

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Machine Learning Startup information

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$25.5K

$42.6K

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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.

Machine Learning Engineer

Razor Talent

Columbia, MD

$2K/mo

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

Machine Learning Engineer

Our clients, a rapidly growing AI-focused software development company supporting federal agencies, is seeking a Machine Learning Engineer.

About the Organization

Delivers mission-critical technology for those who protect what matters. Builds AI-enabled capabilities purpose-built for federal law enforcement and national security partners. Work sits at the intersection of artificial intelligence, cybersecurity, and identity technology. Operates with a startup mentality focused on technical depth, creative problem-solving, and ownership.

Work Location

• McLean, VA or Columbia, MD • Hybrid environment with flexibility for remote work • On-site presence expected 2–3 days per week for team collaboration • Schedule: Monday–Friday; occasional monitoring outside standard hours for extended training jobs

Role Summary

Develop, train, and deploy generative AI models across the full ML lifecycle.

Key Responsibilities

• Train and fine-tune models • Build training pipelines • Develop evaluation frameworks • Optimize inference performance • Integrate models into production • Collaborate with engineering teams • Document models and processes

Required Qualifications

• 3+ years ML engineering • Python + PyTorch • Generative model experience • ML fundamentals • Data pipeline experience • Linux/Docker/AWS familiarity • U.S. citizenship

Preferred Qualifications

• Distributed training • Computer vision • LLMs or RAG • Production ML experience

What Success Looks Like

• 30 days: Learn systems • 90 days: Deliver models • 6 months: Production deployment

Compensation & Benefits

• Fully paid medical, dental, and vision insurance premiums • 10% company contribution to a Vanguard-sponsored 401(k) plan, vested immediately • 7 weeks paid time off, accrued semi-monthly • Life, short-term, and long-term disability insurance • Dependent care and health FSA accounts • $5,000 annual professional development and tuition reimbursement • $200 monthly communication allowance • $2,000 technology allowance every two years • Employee equity plan • Referral, annual, and spot bonuses

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