Job Description
Are you ready to architect the future of technology? Apex Systems is seeking a visionary Senior Machine Learning Engineer to spearhead our initiatives for the 2026 strategic roadmap. In this pivotal role, you will define the technical direction for our next-generation AI platforms, ensuring our solutions remain at the cutting edge of industry standards. You will work in a high-performance environment where innovation is not just encouraged but required.
Why Join Us?
- Work on mission-critical projects that define the landscape of 2026 and beyond.
- Competitive compensation package including equity.
- Flexible remote-first culture with a hub in the heart of San Francisco.
We are looking for a technologist who thrives on complexity and is driven by the challenge of solving tomorrow's problems today.
Responsibilities
- Lead the design, development, and deployment of scalable machine learning models targeting the 2026 roadmap.
- Collaborate with product managers and data scientists to translate business requirements into technical specifications.
- Optimize existing algorithms for performance, accuracy, and latency in real-time environments.
- Architect robust MLOps pipelines to streamline model training and deployment workflows.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
Qualifications
- Master’s or PhD degree in Computer Science, Statistics, or a related quantitative field.
- Minimum of 5 years of professional experience in building and deploying production-level machine learning systems.
- Expert proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
- Strong understanding of Deep Learning architectures and Natural Language Processing (NLP).
- Experience with cloud services (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).