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.
State Government of Victoria, Australia
Job DescriptionGlen Waverley Secondary College is a high-performing, inclusive, and dynamic learning community, proudly educating roughly 2400 students from Years 7 to 12 in Melbourne s eastern...
S&P Global
About the Role: Grade Level (for internal use): 03Job Description Who We Are Kensho is S&P Global's hub for AI innovation and transformation. With expertise in Machine Learning and data discovery, we...
Amazon Web Services (AWS)
Description The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine...
Amazon Development Centre (India) Private Limited
Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to...
State Government of Victoria, Australia
Job Description\n SC1 Demonstrated expert knowledge of the relevant curriculum. Demonstrated ability to model and lead exemplary teaching practice, including the teaching of literacy and numeracy...
IPC Systems
REPORTING TO: Director, People Operations success. Overview of the Team The Global People team at IPC is evolving to deliver a more scalable, consistent, and business-aligned employee experience...
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.