Job Description
Are you a visionary AI/ML leader ready to shape the future? InnovateAI Labs is seeking a Lead AI/ML Engineer to spearhead the development of groundbreaking artificial intelligence solutions that will redefine industries. Join our dynamic team in the heart of San Francisco and drive innovation from concept to deployment.
At InnovateAI Labs, we believe in pushing the boundaries of what's possible, fostering a culture of continuous learning, and empowering our engineers to make a tangible impact. If you're passionate about complex problem-solving, enjoy mentoring bright minds, and thrive in a fast-paced, collaborative environment, we want to hear from you. This is an unparalleled opportunity to work with cutting-edge technologies, influence product direction, and contribute to solutions that truly make a difference.
Responsibilities
- Lead the design, development, and deployment of scalable AI/ML models and systems across various platforms.
- Mentor junior and mid-level engineers, fostering a culture of technical excellence, best practices, and continuous innovation.
- Collaborate closely with product managers, data scientists, and other stakeholders to define AI strategies, roadmaps, and project requirements.
- Architect and implement robust data pipelines for efficient training, evaluation, and inference of machine learning models.
- Conduct cutting-edge research to identify, evaluate, and integrate the latest AI/ML techniques and technologies into our products.
- Ensure the quality, reliability, performance, and scalability of AI solutions through rigorous testing, optimization, and monitoring.
- Drive the adoption of MLOps best practices, model governance, and ethical AI development across the engineering team.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 8+ years of professional experience in AI/ML engineering, with at least 3 years in a lead or principal role guiding technical teams.
- Exceptional proficiency in Python and extensive hands-on experience with major ML frameworks (TensorFlow, PyTorch, scikit-learn).
- Deep expertise in various machine learning algorithms, deep learning architectures, natural language processing, or computer vision.
- Strong understanding of data structures, algorithms, software design principles, and scalable system architecture.
- Proven experience with cloud platforms (AWS, Azure, GCP) and MLOps tools (e.g., Kubeflow, MLflow, Sagemaker).
- Excellent leadership, communication, and complex problem-solving skills with a track record of successful project delivery.
- A portfolio demonstrating impactful AI solutions delivered from research and prototyping through to production deployment.