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Junior Ml Engineer Jobs (NOW HIRING)

Appit LLC

Senior AI/ML Engineer

San Francisco, CA · On-site

$120 - $160/hr

Mentor junior ML engineers and establish best practices for the team * Design and optimize model training pipelines for large-scale datasets * Collaborate with product leadership to define AI ...

Prophecy Technologies

Senior AIOps ML Engineer

Los Angeles, CA · On-site

$112K - $154K/yr

Mentor junior ML and data engineers and conduct rigorous design reviews. Required Skills: * AI Agents * Kafka and Streaming technologies (Flink / Spark) * Lakehouse architectures (Delta Lake / Apache ...

Whiz Global LLC

ML Engineer

Columbus, OH · On-site

Mentor junior engineers and provide technical leadership through architecture guidance and code reviews. * Research and implement modern AI/ML technologies and best practices. Required Qualifications

Diverse Lynx

Senior AIOps ML Engineer

Woodland Hills, CA · On-site

$110K - $151K/yr

Mentor junior ML and data engineers, and conduct rigorous design reviews for new mart schemas and model architectures Company : Diverselynx IT Consulting Services Founded in 2002, the company is ...

Whiz Global LLC

ML engineer

Jersey City, NJ · On-site

ML Engineer ## Key Responsibilities - Lead the end-to-end design, development, and deployment of ... to junior and mid-level engineers through code reviews, pairing, and knowledge sharing. - Partner ...

Junior AI

Lead AI/ML Engineer

Manhattan, NY · On-site

$100 - $140/hr

👶 About Junior We're building cutting‑edge LLM‑powered tools to supercharge the investment ... ML engineers who: * Based in NYC * Are opinionated about their work and eager to contribute to ...

Pragmatike

Principal AI/ML Engineer

Manhattan, NY · On-site

... junior engineers and support team-level technical excellence Qualifications : Required : • ... in AI/ML, data science, or applied machine learning roles • Proven experience deploying ML ...

Pragmatike

Principal AI/ML Engineer

Cambridge, MA · On-site

... junior engineers and support team-level technical excellence Qualifications : Required : • ... in AI/ML, data science, or applied machine learning roles • Proven experience deploying ML ...

Vergence

Senior AI/ML Engineer

Bedford, IN

$93K - $128K/yr

Develop and prototype AI/ML systems to address mission-specific requirements, including computer ... Proven ability to lead complex technical efforts, mentor junior engineers, and interface with ...

Lyra Health

Senior ML Engineer (ML/AI)

$143K - $197K/yr

Provide technical leadership, conduct thorough code reviews, and mentor junior/mid-level engineers on best practices in software craftsmanship and ML engineering. Qualifications * 6+ years of ...

Lyra Health

Senior ML Engineer (ML/AI)

Charleston, WV · Remote

$143K - $197K/yr

Provide technical leadership, conduct thorough code reviews, and mentor junior/mid-level engineers on best practices in software craftsmanship and ML engineering. Qualifications * 6+ years of ...

Pragmatike

Principal AI/ML Engineer

Boston, MA · On-site

... junior engineers and support team-level technical excellence Qualifications : Required : • ... in AI/ML, data science, or applied machine learning roles • Proven experience deploying ML ...

Vergence

Senior AI/ML Engineer

Bedford, IN · On-site

$93K - $128K/yr

Develop and prototype AI/ML systems to address mission-specific requirements, including computer ... Proven ability to lead complex technical efforts, mentor junior engineers, and interface with ...

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Junior Ml Engineer information

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How much do junior ml engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for junior ml engineer in the United States is $71,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What is a junior ML engineer?

Junior ML Engineers are entry-level professionals who assist in designing, building, and deploying machine learning models under the supervision of more experienced engineers or data scientists. They typically work on data preprocessing, implementing algorithms, and supporting the maintenance and improvement of ML systems. Junior ML Engineers are expected to have foundational knowledge in programming, mathematics, and machine learning concepts, and they often gain hands-on experience by working on real-world projects as part of a team.

What are some common challenges faced by junior ML engineers in their first year on the job?

Junior ML Engineers often encounter challenges such as bridging the gap between academic knowledge and real-world applications, understanding complex data pipelines, and managing large datasets. They may also need to quickly learn company-specific tools and frameworks, as well as adapt to working in cross-functional teams with data scientists, software engineers, and product managers. Seeking mentorship, asking questions, and actively participating in team meetings can help overcome these hurdles and accelerate professional growth.

What are the key skills and qualifications needed to thrive as a junior ML engineer, and why are they important?

To thrive as a Junior ML Engineer, you need a strong foundation in programming (especially Python), statistics, and machine learning concepts, typically supported by a degree in computer science or a related field. Familiarity with ML libraries such as TensorFlow or PyTorch, experience with version control systems like Git, and certifications from platforms like Coursera or AWS can be advantageous. Strong problem-solving skills, curiosity, and effective communication help you collaborate with teams and learn quickly. These skills and qualities are essential to efficiently build, test, and deploy machine learning models that drive business value.

What is the difference between Junior ML Engineer vs Data Scientist?

AspectJunior ML EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related field; strong analytical skills
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, modeling, interpreting data, creating reports
Employer & Industry UsageTech companies, startups, AI-focused firms

While both roles involve working with data and machine learning, a Junior ML Engineer primarily focuses on building and deploying ML models, often with coding and engineering tasks. A Data Scientist emphasizes data analysis, statistical modeling, and deriving insights. The roles overlap in skills and tools but differ in their core responsibilities and focus areas.

Are junior ML engineers still in demand?

Junior ML engineers are currently in demand as companies seek to develop and implement machine learning solutions. Skills in programming, data analysis, and familiarity with tools like Python and TensorFlow enhance job prospects in this growing field.

How much does a junior machine learning engineer earn?

A junior machine learning engineer typically earns between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What does a junior machine learning engineer do?

A junior machine learning engineer assists in developing, testing, and deploying machine learning models under supervision. They work with data preprocessing, feature engineering, and use tools like Python and frameworks such as TensorFlow or PyTorch to support AI projects. The role often involves learning from senior engineers and gaining experience in model optimization and evaluation.
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Junior Ml Engineer jobs near you
Infographic showing various Junior Ml Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $71,799 per year, or $34.5 per hour.

Senior AI/ML Engineer

San Francisco, CA • On-site

Appit LLC
See more jobs at Appit LLCexternal

$120 - $160/hr

Other

Posted 20 days ago

Job description

APPIT Software Solutions is hiring a Senior AI/ML Engineer in San Francisco, USA. Lead the development of advanced AI/ML systems at APPIT Software in San Francisco, driving innovation across LLM-powered products, agentic workflows, and intelligent automation.

Responsibilities
  • Architect and build scalable AI/ML systems that serve millions of users
  • Lead research and prototyping of novel ML approaches for enterprise products
  • Mentor junior ML engineers and establish best practices for the team
  • Design and optimize model training pipelines for large-scale datasets
  • Collaborate with product leadership to define AI strategy and roadmap
  • Evaluate emerging AI technologies and recommend adoption strategies
Requirements
  • 6+ years of professional experience in AI/ML engineering
  • Deep expertise in PyTorch, transformer architectures, and distributed training
  • Proven track record of deploying ML models at scale in production
  • Experience with LLM integration, fine-tuning, and retrieval-augmented generation
  • Strong system design skills for ML infrastructure and data pipelines
  • Excellent leadership and communication skills across technical and non-technical stakeholders
Nice to Have
  • PhD in Machine Learning, AI, or related field
  • Experience with multi-modal AI systems
  • Open-source contributions to ML frameworks
About APPIT Software Solutions

APPIT Software Solutions is a leading technology company building AI-powered enterprise products. Join 150+ professionals working on cutting-edge solutions in AI/ML, cloud computing, and digital transformation. We offer competitive salaries, flexible work arrangements, and opportunities for career growth across our global offices.

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