Job Description
Are you ready to build the AI infrastructure of tomorrow?
We are seeking a visionary Senior Machine Learning Engineer to join our team in San Francisco. As we look toward the year 2026, we are building scalable, ethical, and robust AI systems that will define the next decade of technology. You will not just be maintaining models; you will architect the foundation for the future.
Why Join Us?
At Apex Systems, we don't just follow trends—we set them. Our mission is to prepare the industry for the AI boom of 2026 through cutting-edge research and practical application.
We offer a competitive benefits package, including equity, flexible remote options, and continuous learning opportunities.
Responsibilities
- Architect Scalable Solutions: Design and implement end-to-end machine learning pipelines capable of handling petabyte-scale data.
- Pioneer New Algorithms: Research and develop novel algorithms focused on efficiency, interpretability, and security for 2026 deployment.
- Model Optimization: Fine-tune large language models and generative AI tools to reduce latency and improve accuracy.
- Cross-Functional Leadership: Collaborate with product managers, data scientists, and engineers to translate business goals into technical roadmaps.
- Risk Mitigation: Identify potential biases and security vulnerabilities in AI models to ensure ethical deployment.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related quantitative field.
- Experience: 5+ years of professional experience in machine learning or artificial intelligence.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and SQL.
- Big Data: Experience with cloud platforms (AWS/GCP/Azure) and distributed computing frameworks (Spark, Kubernetes).
- Communication: Exceptional ability to explain complex technical concepts to non-technical stakeholders.