Job Description
Are you ready to shape the future of intelligent systems?
Apex Dynamics is seeking a visionary Senior Machine Learning Engineer to join our elite R&D team. In this pivotal role, you will architect and deploy scalable machine learning models that drive decision-making across our global infrastructure. We are looking for a technical leader who thrives in a fast-paced environment and is passionate about solving complex problems with cutting-edge AI.
Why Join Apex Dynamics?
- Impact: Work on projects that redefine industry standards.
- Equity: Competitive compensation package including stock options.
- Culture: A diverse, inclusive, and innovation-driven workplace.
We value autonomy and expertise, offering you the freedom to experiment and the resources to succeed. If you are ready to take your career to the next level, we want to hear from you.
Responsibilities
- Design, develop, and deploy end-to-end machine learning pipelines and algorithms to solve business-critical problems.
- Collaborate with data scientists and product managers to translate business requirements into technical solutions.
- Optimize models for low latency and high throughput, ensuring scalability in production environments.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
- Stay abreast of the latest research in Deep Learning and implement novel techniques into our stack.
- Monitor model performance in production and implement strategies for continuous improvement and drift detection.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 5+ years of professional experience in machine learning and software engineering.
- Expert proficiency in Python (PyTorch, TensorFlow, or JAX).
- Strong understanding of distributed systems, cloud platforms (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
- Experience with MLOps tools such as MLflow, Kubeflow, or Airflow.
- Proven track record of deploying models that impact business metrics.