Build AI/ML systems that learn from data and make predictions at scale. One of the hottest and highest-paying roles in tech.
$70K-$100K
0-2 years
Train basic models, clean datasets, learn ML fundamentals.
At the entry level, focus on building strong foundations in Python, Linear Algebra/Statistics, Scikit-learn. Understand the fundamentals deeply before moving to advanced topics. Train basic models, clean datasets, learn ML fundamentals.
To advance from Junior ML Engineer / ML Intern to Machine Learning Engineer, you need to demonstrate mastery of Python, Linear Algebra/Statistics, Scikit-learn and start developing skills in TensorFlow/PyTorch, NLP/Computer Vision. Take on stretch assignments, seek mentorship, and build a track record of consistent delivery.
$110K-$160K
2-5 years
Build production ML models, implement NLP/CV solutions, deploy at scale.
At the mid level, focus on building strong foundations in TensorFlow/PyTorch, NLP/Computer Vision, Feature Engineering. Deepen your expertise and start developing leadership skills. Build production ML models, implement NLP/CV solutions, deploy at scale.
To advance from Machine Learning Engineer to Senior ML Engineer, you need to demonstrate mastery of TensorFlow/PyTorch, NLP/Computer Vision, Feature Engineering and start developing skills in Advanced Deep Learning, ML System Design. Take on stretch assignments, seek mentorship, and build a track record of consistent delivery.
$160K-$220K
5-8 years
Design ML systems, optimize models for production, bridge research and engineering.
At the senior level, focus on building strong foundations in Advanced Deep Learning, ML System Design, Distributed Training. Deepen your expertise and start developing leadership skills. Design ML systems, optimize models for production, bridge research and engineering.
To advance from Senior ML Engineer to ML Architect / Head of AI, you need to demonstrate mastery of Advanced Deep Learning, ML System Design, Distributed Training and start developing skills in AI Strategy, Research Leadership. Take on stretch assignments, seek mentorship, and build a track record of consistent delivery.
$220K-$350K+
8+ years
Define AI strategy, lead research teams, drive AI adoption across the company.
At the lead level, focus on building strong foundations in AI Strategy, Research Leadership, LLM/GenAI Architecture. Deepen your expertise and start developing leadership skills. Define AI strategy, lead research teams, drive AI adoption across the company.
Abnormal
Abnormal AI is looking for a Staff Machine Learning Engineer to join the Message Detection - Attack Detection team. At Abnormal, we protect our customers against nefarious adversaries who are...
Vectra
We’re an early-stage startup on a mission to reinvent cybersecurity with AI-native infrastructure. Our vision is to help defenders move faster than adversaries by combining large-scale data, modern...
Akamai Technologies
Our team is part of the Security organization, responsible for developing products and platforms focused on security. Our product is Bot Manager. It is designed to provide cloud computing security,...
ExtraHop
ExtraHop is reinventing Network Detection and Response (NDR) to help enterprises and organziations stay ahead of emerging threats with unmatched network visibility, context, and control. Today’s...
META
Summary: Meta Security is looking for a threat intelligence investigator with extensive experience in investigating cyber threats with an intelligence-driven approach. You will be proactively...
Key skills for Junior ML Engineer / ML Intern (0-2 years): Python, Linear Algebra/Statistics, Scikit-learn, Data Preprocessing, Jupyter Notebooks, Basic Neural Networks. Train basic models, clean datasets, learn ML fundamentals.
Key skills for Machine Learning Engineer (2-5 years): TensorFlow/PyTorch, NLP/Computer Vision, Feature Engineering, Model Deployment, MLOps basics, Cloud ML Services. Build production ML models, implement NLP/CV solutions, deploy at scale.
Key skills for Senior ML Engineer (5-8 years): Advanced Deep Learning, ML System Design, Distributed Training, Model Optimization, Research to Production, Team Mentoring. Design ML systems, optimize models for production, bridge research and engineering.
Key skills for ML Architect / Head of AI (8+ years): AI Strategy, Research Leadership, LLM/GenAI Architecture, Ethics in AI, Cross-functional AI Adoption. Define AI strategy, lead research teams, drive AI adoption across the company.
Machine Learning Engineer salaries range from $70K-$100K at entry level to $220K-$350K+ at the Lead level.