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Machine Learning Engineer I Jobs (NOW HIRING)

Handshake

Machine Learning Engineer I

San Francisco, CA · On-site

They are seeking a Machine Learning Engineer I to develop and iterate on machine learning models that enhance user experience and product features, while collaborating with senior engineers and data ...

CNN

Machine Learning Engineer I

Manhattan, NY · On-site

CNN is a global leader in news and information, seeking a Machine Learning Engineer I to build and deploy ML systems that enhance personalization, search, recommendations, and content understanding ...

CNN

Machine Learning Engineer I

Atlanta, GA · On-site

CNN is a global leader in news and information, seeking a Machine Learning Engineer I to build and deploy ML systems that enhance personalization, search, recommendations, and content understanding ...

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 ...

Scowtt Inc

Machine Learning Engineer I

Seattle, WA · On-site

$100K - $150K/yr

About the Role We are looking for a motivated, entry-level Machine Learning Engineer to help build ... This employer participates in E-Verify and will provide the federal government with your Form I-9 ...

Scowtt Inc

Machine Learning Engineer I

Seattle, WA · On-site

$100K - $150K/yr

About the Role We are looking for a motivated, entry-level Machine Learning Engineer to help build ... This employer participates in E-Verify and will provide the federal government with your Form I-9 ...

Handshake

Machine Learning Engineer I

San Francisco, CA · On-site

$151K - $189K/yr

Develop and iterate on machine learning models and features that directly influence user experience across lifecycle, notifications, and monetization -- with guidance from senior engineers.

Warner Bros. Discovery

Machine Learning Engineer I

Hudson, NY · On-site

$102K - $134K/yr

CNN is seeking a Machine Learning Engineer I to build and deploy ML systems that power personalization, search, recommendations, and content understanding for millions of users across CNN's digital ...

Warner Bros. Discovery

Machine Learning Engineer I

Atlanta, GA · On-site

$98K - $129K/yr

CNN is seeking a Machine Learning Engineer I to build and deploy ML systems that power personalization, search, recommendations, and content understanding for millions of users across CNN's digital ...

Warnerbros

Machine Learning Engineer I

New York, NY

$106K - $146K/yr

CNN is seeking a Machine Learning Engineer I to build and deploy ML systems that power personalization, search, recommendations, and content understanding for millions of users across CNN's digital ...

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Machine Learning Engineer I information

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$31.5K

$128.8K

$193.5K

How much do machine learning engineer i jobs pay per year?

As of Jun 18, 2026, the average yearly pay for machine learning engineer i in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineer I?

A Machine Learning Engineer I is an entry-level professional who designs, builds, and deploys machine learning models within software applications. They work closely with data scientists and software developers to implement algorithms that allow computers to learn from data and make predictions or decisions. Typical responsibilities include cleaning and preparing data, training models, evaluating performance, and optimizing algorithms for scalability and efficiency. This role often requires knowledge of programming languages like Python, frameworks such as TensorFlow or PyTorch, and a solid understanding of statistics and machine learning principles.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer I, and why are they important?

To thrive as a Machine Learning Engineer I, you need a solid foundation in programming (especially Python), mathematics, and machine learning concepts, typically supported by a bachelor’s degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, version control systems (e.g., Git), and cloud platforms is often expected. Strong problem-solving abilities, teamwork, and effective communication help you collaborate with stakeholders and translate business needs into technical solutions. These skills are crucial for building robust models, integrating them into production environments, and driving impactful results in data-driven projects.

What is the difference between Machine Learning Engineer I vs Data Scientist?

AspectMachine Learning Engineer IData Scientist
Required CredentialsBachelor's in CS, Math, or related field; some roles may prefer certifications in ML or data analysisBachelor's or higher in Statistics, Data Science, or related field; often requires knowledge of programming and statistics
Work EnvironmentDevelops, tests, and deploys ML models; collaborates with data engineers and software developersAnalyzes data, builds models, and provides insights; works closely with business teams and analysts
Employer & Industry UsageTech companies, startups, and industries implementing AI solutionsFinance, healthcare, marketing, and research sectors relying on data-driven decisions

Machine Learning Engineer I focuses on developing and deploying ML models, while Data Scientists analyze data to generate insights. Both roles require programming skills and a background in math or statistics, but their daily tasks and objectives differ slightly.

What are the typical projects a Machine Learning Engineer I can expect to work on during their first year?

As a Machine Learning Engineer I, you can expect to work on projects such as data preprocessing, building and testing basic machine learning models, and implementing existing algorithms under the guidance of senior team members. You'll often collaborate with data scientists, software engineers, and product managers to translate business requirements into technical solutions. Early projects may also involve model evaluation, feature engineering, and helping to deploy models into production environments. This hands-on experience helps build a strong foundation for tackling more complex problems as you advance in your career.
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Machine Learning Engineer I jobs near you
Machine Learning Engineer I

Machine Learning Engineer I

Handshake

San Francisco, CA • On-site

Full-time

Posted 13 days ago

Job description

Job Summary:
Handshake is a company dedicated to providing career opportunities to everyone, regardless of their background. They are seeking a Machine Learning Engineer I to develop and iterate on machine learning models that enhance user experience and product features, while collaborating with senior engineers and data scientists.
Responsibilities:
• Develop and iterate on machine learning models and features that directly influence user experience across lifecycle, notifications, and monetization — with guidance from senior engineers.
• Partner with senior engineers, data scientists, and product managers to develop and iterate on machine learning models that improve product features and user experience.
• Grow your technical depth by working alongside experienced ML practitioners, picking up best practices in model development, experimentation, and production deployment.
Qualifications:
Required:
• Bachelor’s or advanced degree in Computer Science, Data Science, or a related field
• 3 years of experience in machine learning, data science, or a related area
• Proficient in Python, with hands-on experience in frameworks such as scikit-learn, PyTorch, or TensorFlow
• Strong foundation in core ML concepts, including classification, regression, ranking, and model evaluation
Preferred:
• Exposure to areas such as recommendations, personalization, NLP, deep learning, LLMs, or explainable AI
• Familiarity with the ML lifecycle (e.g., experiment tracking, model monitoring, feature pipelines)
• Experience with cloud platforms (GCP, AWS, or Azure)
• Clear communicator, able to translate technical work for diverse audiences
• Collaborative mindset with experience working cross-functionally with product, analytics, and engineering teams
Company:
Handshake is a college career network that helps students and recent graduates find their next opportunity. Founded in 2014, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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