TechnologieSenior

CV Machine Learning Engineer

Machine learning engineer resume example showcasing deep learning, MLOps, and large-scale model deployment expertise.

ATS-optimizedFree to useFully editableUpdated for 2026

PRIYA

SHARMA

Senior Machine Learning Engineer

(415) 892-3301
[email protected]
San Francisco, CA

Education

Master's of Computer Science - Artificial Intelligence

Stanford University

Sep 2016-Jun 2018

GPA 3.9/4.0

Certifications

  • AWS Certified Machine Learning - Specialty
  • Google Professional Machine Learning Engineer

Skills

Python (NumPy, Pandas, Scikit-learn)

TensorFlow and PyTorch

MLOps (Kubeflow, MLflow)

Deep Learning and NLP

Apache Spark and Scala

Kubernetes and Docker

A/B Testing and Experimentation

SQL and Big Data (BigQuery)

Languages

English (Fluent)

Hindi (Native)

Summary

Senior Machine Learning Engineer with 7+ years building and deploying large-scale ML systems at top-tier technology companies. Expert in deep learning, NLP, and MLOps with Python, TensorFlow, and PyTorch. Delivered models serving 100M+ users daily. AWS Certified Machine Learning Specialty certified.

Experience

Senior Machine Learning Engineer

Jan 2021 - Present

Meta

  • Architect and deploy recommendation models serving 150M+ daily active users, improving engagement by 18%
  • Lead team of 6 ML engineers developing content ranking algorithms using transformer-based architectures
  • Build end-to-end MLOps pipelines using Kubeflow and MLflow covering feature engineering, training, and deployment
  • Reduce model inference latency by 45% through quantization and TensorRT optimization

Machine Learning Engineer

Aug 2018 - Dec 2020

Uber

  • Developed real-time ETA prediction model using gradient boosting and geospatial features, improving accuracy by 22%
  • Built demand forecasting models processing 500GB+ daily data using Spark and Scala pipelines
  • Implemented dynamic pricing ML model that increased driver utilization rate by 14%

Projects

Open-Source NLP Toolkit

- Present
Contributed sentence-transformers optimization achieving 3x inference speedup with 2,400+ GitHub stars

Certifications

AWS Certified Machine Learning - Specialty

Amazon Web Services

ID: AWS-MLS-2021

Google Professional Machine Learning Engineer

Google Cloud

ID: GCP-PMLE-2022

Resume guide

How to write a Machine Learning Engineer resume

A strong Machine Learning Engineer resume has to pass an Applicant Tracking System (ATS) and then convince a hiring manager in about seven seconds. Here is exactly what to include, how to make each section count, and the mistakes that keep otherwise-qualified technology candidates off the shortlist.

What to include in a Machine Learning Engineer resume

  • Professional summary — 2–3 sentences naming your specialization, years of experience, and one standout result.
  • Work experience — reverse-chronological, with quantified achievements (numbers, percentages, dollar amounts) rather than duties.
  • Skills — 8–12 hard and soft skills, mirroring the exact wording of the Machine Learning Engineer job posting.
  • Education & certifications — your highest degree plus any credentials valued in technology roles.

Machine Learning Engineer resume summary: good vs. bad

✗ Weak

“Hardworking Machine Learning Engineer seeking a position to use my skills and grow with a great company.”

✓ Strong

“Machine Learning Engineer with 5+ years of experience and a record of measurable results — for example, delivering a project 15% under budget or improving a key metric by 30%.”

Step by step

Write it in 5 steps

  1. 1

    Write your professional summary

    Open your Machine Learning Engineer resume with a 2–3 sentence professional summary that names your specialization, years of experience, and one standout achievement. This sets the context for everything that follows and is the first thing a hiring manager reads.

  2. 2

    List your work experience with quantified achievements

    Add your roles in reverse-chronological order. Write 3–5 bullet points per role starting with a strong action verb (Led, Built, Reduced, Grew) and include a specific metric for every achievement — numbers, percentages, dollar amounts, or time savings.

  3. 3

    Build a targeted skills section

    List 8–12 skills directly matching keywords in Machine Learning Engineer job postings. Include both technical skills (tools, software, methodologies) and soft skills (leadership, communication). Exact keyword matching is essential for passing ATS filters.

  4. 4

    Add education and certifications

    Include your highest degree, institution, and graduation year. List any certifications relevant to Technology roles. Certifications can offset experience gaps and are often required or preferred by employers in Technology.

  5. 5

    Optimize for ATS and download

    Use standard section headings (Experience, Education, Skills), avoid tables, columns, graphics, and text boxes, and save as PDF or DOCX. Run your resume through an ATS checker to verify keyword coverage, then download and apply.

FAQ

Machine Learning Engineer resume FAQ

What should a Machine Learning Engineer resume include?+

A Machine Learning Engineer resume should include six key sections: (1) A professional summary of 2–3 sentences that positions you for the role; (2) Work experience in reverse-chronological order with quantified achievements using numbers, percentages, and dollar amounts; (3) A skills section with both technical and soft skills matching keywords in Technology job postings; (4) Education listing your highest degree and institution; (5) Certifications relevant to the Machine Learning Engineer role; and (6) Optional sections such as projects, publications, or volunteer work if they strengthen your candidacy. Use standard headings and avoid tables, columns, and graphics so Applicant Tracking Systems can parse every section correctly.

How long should a Machine Learning Engineer resume be?+

A Machine Learning Engineer resume should be one page if you have fewer than ten years of experience, and two pages maximum for senior or executive-level professionals with extensive accomplishments. Every line should earn its place — cut roles older than 15 years, generic duties, and anything not directly relevant to the Machine Learning Engineer position you are targeting. Hiring managers spend an average of 7 seconds on an initial resume scan, so a tight, achievement-focused one-pager consistently outperforms a padded two-pager at the same experience level.

What skills should a Machine Learning Engineer list on their resume?+

A Machine Learning Engineer should list skills in two categories. Hard skills are the technical and role-specific competencies: tools, software, programming languages, methodologies, and domain knowledge required for the position — these come directly from the job description. Soft skills are the interpersonal and cognitive abilities that complement technical work: communication, problem-solving, collaboration, and leadership. Include 8–12 skills total, mixing both types, and mirror the exact phrasing used in Technology job postings so your resume passes ATS keyword matching. Avoid generic filler like "Microsoft Office" unless the role explicitly requires it.

What makes a strong Machine Learning Engineer resume stand out?+

A strong Machine Learning Engineer resume stands out through three characteristics. First, quantified achievements: every bullet point in your work experience should contain a metric — revenue generated, percentage improvement, team size managed, or cost saved. Vague duties tell hiring managers nothing; specific numbers prove impact. Second, ATS optimization: use the exact keywords, job titles, and tool names that appear in the Machine Learning Engineer postings you are targeting. Even a perfectly written resume will be rejected if it does not match the system's keyword threshold. Third, a targeted professional summary: a 2–3 sentence opening that names your specialization, years of experience, and one standout achievement immediately signals you are the right fit before the hiring manager reads a single bullet point. Clever CV's Machine Learning Engineer resume example demonstrates all three in a format designed to pass ATS and impress human reviewers.

Is the Machine Learning Engineer resume example on Clever CV free to use?+

Yes. The Machine Learning Engineer resume example on Clever CV is completely free to preview and use as your starting point. Click "Use this Example" to copy it instantly into the Clever CV resume builder, where you can edit every section — replace the sample content with your own experience, skills, and certifications — and download a polished, ATS-optimized PDF. Creating an account is free and gives you immediate access to the builder. Advanced features such as AI-powered bullet point generation, the ATS compatibility checker, and resume scoring are available on paid plans.

Build your Machine Learning Engineer resume in minutes

Start from this ATS-ready example, swap in your own details, and download a polished resume.