Job Description
At 2026, we are not merely forecasting trends; we are engineering the reality of tomorrow. We are looking for a visionary Lead Machine Learning Engineer to join our elite team in San Francisco. In this role, you will be at the forefront of developing autonomous systems and predictive models that will define the next decade of technology.
We offer a competitive compensation package, equity opportunities, and an environment that fosters innovation and rapid growth. If you are passionate about pushing the boundaries of what is possible in AI and Machine Learning, we want to hear from you.
Responsibilities
- Architect Scalable ML Pipelines: Design, develop, and deploy robust machine learning models that can handle petabytes of data in real-time.
- Research & Development: Lead research initiatives in Deep Learning and Natural Language Processing to solve complex industry problems.
- Model Optimization: Fine-tune existing models for improved accuracy, speed, and energy efficiency using advanced optimization techniques.
- Technical Leadership: Mentor junior engineers and data scientists, conducting code reviews and architectural planning sessions.
- Collaboration: Work closely with product managers and stakeholders to translate business requirements into technical solutions.
Qualifications
- Education: Master’s or PhD in Computer Science, Statistics, Mathematics, or a related field.
- Experience: 5+ years of professional experience in Machine Learning, with at least 2 years in a lead or senior capacity.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
- Cloud Proficiency: Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical audiences.