Job Description
Are you ready to shape the future of technology?
Apex Dynamics is looking for a visionary Senior Machine Learning Engineer to join our elite engineering team in San Francisco. As we accelerate our roadmap for 2025, we are building the next generation of predictive AI systems that redefine industry standards. If you thrive in a fast-paced, innovative environment and want to solve complex problems at scale, this is your opportunity to lead impactful projects.
Why Join Us?
- Competitive Compensation: Base salary $160k - $210k + Performance Bonus + Equity.
- Flexible Work: Hybrid work model supporting work-life balance.
- Impactful Work: Directly influence the architecture of our core AI products.
We are looking for a self-starter who is passionate about Deep Learning, Natural Language Processing (NLP), and large-scale data infrastructure.
Responsibilities
- Model Development: Design, train, and deploy state-of-the-art machine learning models to production environments using Python and TensorFlow/PyTorch.
- System Optimization: Continuously improve model inference speed and accuracy while optimizing for cost and latency.
- Data Infrastructure: Collaborate with data engineers to build robust pipelines and data lakes that feed our AI models.
- Research & Innovation: Stay abreast of the latest academic papers and industry trends to integrate cutting-edge techniques into our workflow.
- Mentorship: Guide junior engineers and data scientists, conducting code reviews and fostering a culture of technical excellence.
- Deployment: Manage the full lifecycle of ML models, from experimental prototyping to A/B testing and monitoring.
Qualifications
- Education: Master’s or PhD in Computer Science, Statistics, or a related field (or equivalent practical experience).
- Experience: 5+ years of professional experience in Machine Learning or Artificial Intelligence.
- Technical Skills: Proficiency in Python, SQL, and experience with cloud platforms (AWS/GCP/Azure).
- Frameworks: Strong hands-on experience with PyTorch, TensorFlow, or Scikit-learn.
- Problem Solving: Proven track record of solving complex data problems and delivering scalable solutions.
- Communication: Excellent verbal and written communication skills for technical and non-technical stakeholders.