Senior Machine Learning Engineer (MAPS)

Apple • Cupertino, CA

3h

About The Position

We are looking for a Machine Learning Scientist/Engineer to join our team and help shape the future of Apple Maps. In this role, you’ll work alongside world-class engineers and scientists to develop innovative AI/ML solutions that enhance user experiences. Your primary responsibility will be transforming high-level business objectives into measurable, technical requirements, including designing, implementing, and deploying cutting-edge models that solve real-world challenges. You’ll collaborate closely with cross-functional teams, including engineering and design, to architect scalable systems while continuously refining solutions through data-driven iteration. The ideal candidate takes initiative, demonstrates ownership from concept to production, is not afraid to dive deep into data, and is hands-on in building robust, real-world solutions. They thrive in a fast-paced environment and bring resilience and curiosity to continually improve in pursuit of excellence.

Requirements

• 5+ years of experience in building large-scale machine learning systems
• 5+ years of experience in one or more of the following ML areas: generative AI models (e.g. Transformers, LLMs, VLMs, MLLMs), NLP, Knowledge Graphs, or Computer Vision
• Hands-on experience with reinforcement learning (RL), including policy optimization methods (e.g., policy gradients, actor-critic, PPO-style approaches) and deploying RL systems for large-scale models in real-world production environments
• Experience working with large-scale and real-world datasets
• Metrics-driven and passionate about delivering models that produce high-quality, user-facing results
• Strong programming skills and hands-on experience with machine learning tools and libraries such as PyTorch, TensorFlow, Scikit-learn; programming skills in Python, Scala, Java, or C++
• Strong knowledge of Spark or other related big data technologies

Nice To Haves

• Masters or PhD degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields.
• Hands on experience with reinforcement learning or multi-modal foundation models and understanding of state of the art approaches in the field
• Experience shipping a complex AI system, including research and leveraging generative AI models
• Excellent independent problem-solving skills
• Excellent written and oral communication skills

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees