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Junior Machine Learning Jobs in Layton, UT (NOW HIRING)

Replit

Sr. Manager, Business Development

Salt Lake City, UT · On-site

$220K - $240K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Excellent coaching and mentoring abilities with experience developing junior sales talent * Data ... Experience with or strong interest in AI and machine learning is a plus Nice to have: * You're an ...

Modigent

HVAC Senior Service Technician

Salt Lake City, UT · On-site

$40 - $52/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lead service efforts on challenging jobs, mentor junior technicians, and deliver high-reliability ... Proficiency with gauges, recovery machines, multimeters, combustion analyzers, and specialized HVAC ...

Elite TechSources

PKI Administrator

Salt Lake City, UT · On-site

... junior team members, ensuring best practices in PKI implementation and fostering a culture of ... You'll work as part of a global team in a flexible work environment, learning and enhancing your ...

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All JobsMachine Learning JobsJunior Machine Learning JobsJunior Machine Learning Jobs in Layton, UT

Junior Machine Learning information

See Layton, UT salary details

$6

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$43

How much do junior machine learning jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for junior machine learning in Layton, UT is $24.49, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $30.14 per hour, depending on experience, location, and employer.

What does a junior machine learning engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.

What types of projects and tasks can a junior machine learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What is the difference between Junior Machine Learning vs Data Scientist?

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What are the most commonly searched types of Machine Learning jobs in Layton, UT?

The most popular types of Machine Learning jobs in Layton, UT are:

What are popular job titles related to Junior Machine Learning jobs in Layton, UT?

For Junior Machine Learning jobs in Layton, UT, the most frequently searched job titles are:

What cities near Layton, UT are hiring for Junior Machine Learning jobs?

Cities near Layton, UT with the most Junior Machine Learning job openings:

Junior Machine Learning jobs near you
Infographic showing various Junior Machine Learning job openings in Layton, UT as of July 2026, with employment types broken down into 85% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $50,942 per year, or $24.5 per hour.

Sr. Manager, Business Development

Replit

Salt Lake City, UT • On-site

$220K - $240K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 19 days ago

Job description

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
Replit is seeking a Senior Business Development Manager to lead and scale our outbound sales development team as we expand our go-to-market efforts. This role will oversee a team of BDRs (Business Development Representatives) proactively targeting and engaging high-potential accounts to build a robust pipeline for our Account Executives.
The ideal candidate will have hands-on outbound prospecting experience and proven leadership skills, a strong understanding of the modern GTM technology, previous experience in creating systems and orchestrating technology to support an efficient & scalable 0->1 outbound workflow, and previous experience collaborating tightly with marketing and sales ops to build highly-targeted account lists and multi-channel outreach sequences. Experience & interest in vibe coding and/or technical experience is highly valued.
This position is critical to our go-to-market strategy, responsible for defining our outbound playbook, identifying key target personas, hiring top-tier talent, coaching team members, and ensuring persistent, high-quality outreach & pipeline generation across all segments from SMB to Enterprise. You'll establish the foundation for scalable revenue growth while architecting a personalized first-touch experience that sets the tone for their Replit journey.
We believe this role offers a distinctive opportunity for proven sales development professionals who excel in both strategic account targeting and team leadership, with a passion for technology and AI. You'll leverage your expertise to build a world-class BDR organization that effectively cuts through the noise to communicate Replit's value proposition: a world where anyone can create software using natural language.
In this role you will...
  • Build, lead, and scale a high-performing team of Business Development Representatives
  • Develop and implement BDR processes, playbooks, and best practices for cold and warm-outbound channels
  • Coach and mentor BDRs on qualification methodology, objection handling, and pipeline generation techniques
  • Partner with sales leadership to provide feedback on territory assignments, quotas, performance metrics, lead handoff processes
  • Evangelize a future where anyone can create software in natural language, ensuring your team can articulate this vision compellingly
  • Collaborate with marketing and operations to optimize lead routing, provide feedback on campaign effectiveness, and improve lead quality & conversion
  • Analyze team performance data and implement strategies to improve conversion rates and meeting quality
  • Recruit, hire, and onboard new SDR/BDR team members as the organization scales
  • Maintain accountability for team quota attainment and individual BDR development
  • Work closely with Account Executives and AE leaders to ensure smooth handoffs and tight feedback loops
  • Uphold CRM hygiene and reporting accuracy across the SDR organization
  • Stay current on industry trends and competitive landscape to inform team strategy

Required skills and experience:
  • 5+ years of sales development experience with at least 3 years in a leadership or management role, preferably some with a technical ICP
  • Proven track record of building and scaling BDR teams, preferably in a high-growth environment
  • Strong individual contributor background with deep understanding of both inbound & outbound prospecting, demand gen strategies, and industry best practices
  • Excellent coaching and mentoring abilities with experience developing junior sales talent
  • Data-driven approach to performance management and process optimization
  • Outstanding written and verbal communication skills
  • Experience with CRM systems and sales tools (e.g., Hubspot/SFDC, LinkedIn, ZoomInfo, Clay, SmartLead, Outreach, Default, etc)
  • Ability to recruit, interview, and assess SDR candidates effectively
  • Strong cross-functional collaboration skills, particularly with marketing and sales teams
  • Passion for technology and ability to quickly learn and teach complex technical concepts
  • Experience with or strong interest in AI and machine learning is a plus

Nice to have:
  • You're an active Replit user
  • You've worked at an early-stage startup or in developer tools
  • Experience building inbound SDR programs from 0-1 and/or scaling from early stage
  • Basic understanding of software development or coding concepts
  • Experience with multi-channel prospecting (email, phone, social)
  • Degree in Computer Science or related field (or equivalent practical experience)

Tools + Tech Stack for this role
  • Replit
  • Hubspot CRM (Salesforce coming soon)
  • ZoomInfo
  • Outreach
  • Gong
  • Chorus
  • Clay
  • SmartLead
  • Nooks
  • Default
  • LinkedIn Sales Navigator
  • Hashboard, Hex
This role may not be a fit if
  • You're not based in the Salt Lake City area and/or willing to relocate
  • You have no interest in understanding the software development lifecycle or learning basic coding concepts
  • You're not passionate about AI
  • You prefer individual contributor work over people management and team building
  • You're uncomfortable with a fast-paced startup environment where priorities may shift quickly

This is a full-time hybrid role and has an in-office requirement.
Full-Time Employee Benefits Include:
Competitive Salary & Equity
401(k) Program with a 4% match (US Only)
Health, Dental, Vision and Life Insurance
Short Term and Long Term Disability
Paid Parental, Medical, Caregiver Leave
Flexible Time Off (FTO) + Holidays
Commuter Benefits (In-Office & US Only)
Monthly Wellness Stipend
Autonomous Work Environment
In Office Set-Up Reimbursement (In-Office Only)
Quarterly Team Gatherings
In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
  • Meet the Replit Agent
  • Replit: Make an app for that
  • Replit Blog
  • Amjad TED Talk

Interviewing + Culture at Replit
  • Operating Principles
  • Reasons not to work at Replit

To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

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