Job Details

Base pay range: $225,000 - $275,000 per year

Location: San Francisco, California (Remote)
Job Type: Full-Time

About Us

We are a rapidly growing technology company at the forefront of AI‑driven data intelligence and analytics. Our platform empowers organizations across multiple industries to unlock the full potential of their data through advanced machine learning, predictive analytics, and intelligent automation. We serve clients in biotech, fintech, healthcare, energy, real estate, and enterprise technology sectors.

The Role

We're looking for a Lead AI Engineer to architect and deploy production‑grade AI/ML systems that solve real business problems. You'll lead technical initiatives, build scalable infrastructure, mentor a team, and stay hands‑on with code. This is not about building demos – it's about shipping models that work at scale and drive measurable business impact.

What You'll Do

Build & Architect

• Design and implement scalable AI/ML infrastructure and pipelines from the ground up
• Develop production machine learning models for data classification, predictive analytics, and anomaly detection
• Build NLP systems for unstructured data analysis and intelligent automation
• Create robust MLOps workflows for continuous training, deployment, and monitoring

Lead & Mentor

• Lead a team of AI/ML engineers and data scientists
• Set technical direction and establish best practices for the team
• Conduct code reviews and provide hands‑on guidance on complex problems
• Foster a culture of experimentation, learning, and shipping fast

Ship & Scale

• Deploy models to production with proper monitoring, logging, and alerting
• Optimize performance, latency, and resource utilization at scale
• Implement CI/CD practices for ML systems
• Work cross‑functionally with product, engineering, and data teams

Innovate

• Stay current with AI/ML research and evaluate new techniques
• Prototype and validate emerging technologies (LLMs, generative AI, etc.)
• Drive innovation in how we leverage AI for data intelligence
• Contribute to technical discussions and strategy

You Have

Required Qualifications

• 8+ years of hands‑on experience building and deploying AI/ML systems in production
• 3+ years leading technical projects or teams
• Deep expertise with modern ML frameworks (PyTorch, TensorFlow, scikit‑learn)
• Strong Python skills and software engineering fundamentals
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
• Proven track record shipping ML models that handle real‑world scale and complexity
• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field

Bonus Points

• Master's or PhD in ML/AI or related field
• Experience with LLMs, generative AI, or foundation models
• Background in MLOps tools (MLflow, Kubeflow, SageMaker)
• Knowledge of data governance or privacy‑preserving ML
• Experience in fintech, healthcare tech, or data platforms
• Open‑source contributions or publications

Compensation & Benefits

• Base salary: $225,000 – $275,000
• Equity package
• Comprehensive health, dental, and vision insurance
• 401(k) with company match
• Flexible PTO policy