ML Software Engineer

About the role

You will scale generative AI infrastructure by building high-performance machine learning systems.

Responsibilities

• Design, develop, and maintain software systems supporting machine-learning inference workloads.
• Build high-performance ML applications and services running on Apple Silicon in data-center environments.
• Contribute to generative AI and Apple Intelligence initiatives.
• Develop scalable, reliable, and efficient production systems for advanced machine-learning workloads.
• Optimize software performance, reliability, and resource utilization.
• Collaborate with machine-learning engineers, software engineers, infrastructure teams, and other technical stakeholders.
• Participate in the full software development lifecycle, including design, implementation, testing, deployment, and maintenance.
• Troubleshoot complex technical issues and improve system performance and scalability.
• Help develop infrastructure and software supporting large-scale AI and machine-learning applications.

Requirements

• Strong software engineering experience with proficiency in one or more programming languages such as C++, Python, Swift, or Java.
• Experience developing and deploying machine learning systems or applications in production environments.
• Knowledge of machine learning inference, model serving, or ML infrastructure.
• Experience with distributed systems, cloud infrastructure, or large-scale data-center environments.
• Understanding of generative AI, deep learning, or large language models is highly desirable.
• Strong problem-solving and analytical skills.
• Experience designing, building, testing, and maintaining reliable software systems.
• Ability to collaborate effectively with cross-functional engineering and machine-learning teams.
• Bachelor's degree in Computer Science, Engineering, Machine Learning, or a related technical field, or equivalent practical experience.

Skills

• Proficient in Testing, Swift, Software engineering, Python, Machine learning, Java.
• Potential to develop in Large language model (LLM), Generative artificial intelligence (Generative AI), Deep learning.

Pay

USD 150,000 - 265,000/year + Commissions (USD 20,000/year) + Bonuses (up to 5% of base compensation) + Bonuses (up to 10% of base compensation) + Overtime (USD 30/hour).

Location

California, MO, United States