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Entry Level Machine Learning Engineer Jobs in Draper, UT

BILL

Senior Machine Learning Engineer

Draper, UT · On-site

$97.70K - $134.20K/yr

As a Senior Machine Learning Engineer , you'll play a pivotal role in designing, building, and deploying machine learning solutions that power BILL's next-generation products. This is an opportunity ...

BILL

Senior Machine Learning Engineer

Draper, UT · On-site

$114.50K - $151K/yr

As a Senior Machine Learning Engineer, you will design, build, and deploy machine learning solutions that enhance BILL's products and directly impact user experiences. Responsibilities : • Design ...

BILL

Senior Machine Learning Engineer

Draper, UT · On-site

$145.70K - $174.80K/yr

As a Senior Machine Learning Engineer , you'll play a pivotal role in designing, building, and deploying machine learning solutions that power BILL's next-generation products. This is an opportunity ...

Varsity Tutors

Machine Learning Tutor

Provo, UT · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Pwc

CTIO-AI Engineer-Sr Associate

Salt Lake City, UT

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Sunwest Bank

AI/ML Engineer

Sandy, UT · On-site

$108.80K - $130.70K/yr

... machine-learning models or AI services aligned with business needs • Support deployment of AI ... programming skills or similar languages • Experience with machine-learning libraries such as ...

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Entry Level Machine Learning Engineer information

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How much do entry level machine learning engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for entry level machine learning engineer in Draper, UT is $64,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,100.00 and $73,400.00 per year, depending on experience, location, and employer.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

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

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.
More about Entry Level Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Draper, UT? The most popular types of Machine Learning Engineer jobs in Draper, UT are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Draper, UT? For Entry Level Machine Learning Engineer jobs in Draper, UT, the most frequently searched job titles are:
What cities near Draper, UT are hiring for Entry Level Machine Learning Engineer jobs? Cities near Draper, UT with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Draper, UT as of May 2026, with employment types broken down into 1% Internship, 92% Full Time, 5% Part Time, 1% Contract, and 1% Nights. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $64,843 per year, or $31.2 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

BILL

Draper, UT • On-site

$97.70K - $134.20K/yr

Other

Posted yesterday

Job description

Make your impact within a rapidly growing Fintech Company

Join BILL's AI Product Engineering team and help shape the future of intelligent financial automation. As a Senior Machine Learning Engineer, you'll play a pivotal role in designing, building, and deploying machine learning solutions that power BILL's next-generation products. This is an opportunity to work in a collaborative, high-impact environment where your expertise will directly influence the company's growth and the experience of millions of users.

Responsibilities:

  • Design, develop, and deploy robust machine learning models to solve real-world business challenges in the fintech domain
  • Collaborate cross-functionally with product managers, engineers, and data scientists to translate business requirements into scalable ML solutions
  • Analyze complex datasets, identify patterns, and extract actionable insights to drive product innovation
  • Evaluate, optimize, and monitor model performance in production, ensuring reliability and accuracy over time
  • Contribute to the development and improvement of AI workflows, agentic evaluation and best practices within the team
  • Document methodologies, experiments, and results to ensure knowledge sharing and reproducibility
  • Mentor junior team members and share technical expertise to elevate team capabilities

We'd love to chat if you have:

  • Proven experience building and deploying machine learning models in production environments
  • Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Previous experience with OCR extraction and NLP methodologies
  • Knowledge of AI agents and strong experience with LLMs
  • Ability to analyze and interpret large, complex datasets using statistical and data analysis techniques
  • Excellent communication and collaboration skills, with a track record of working effectively in cross-functional teams
  • A problem-solving mindset and a passion for continuous learning and innovation

Visa Sponsorship:  Please note that this position is eligible for visa sponsorship.

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About BILL

Sourced by ZipRecruiter

Industry

Software development

Company size

1,001 - 5,000 Employees

Headquarters location

San Jose, CA, US

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