11 days ago
Atlanta, GA, USA or Mountain View, CA, USAStaff+
Base Salary
$163k - $343k/yr
Responsibilities
- Design, develop, and deploy machine learning models for classification, prediction, anomaly detection, and intelligent automation.
- Build and maintain scalable data pipelines for model training, evaluation, and real-time or batch inference.
- Optimize ML models and pipelines for performance, scalability, reliability, and cost efficiency.
- Collaborate with engineering and product teams to integrate ML solutions into core platform features and services.
- Conduct model experimentation, evaluation, and iteration using quantitative metrics and A/B testing as needed.
- Implement model observability, monitoring, and drift detection for production reliability.
- Apply advancements in machine learning, AI, and LLM technologies to product use cases.
- Own engineering initiatives end to end and promote strong ML engineering practices.
Requirements
- At least 5 years of experience in machine learning engineering or data science roles.
- Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and Scikit-learn.
- Experience building and operating batch or streaming data-processing workflows and working with AWS, Azure, or GCP.
- Strong understanding of machine learning algorithms, statistics, and model evaluation techniques.
- Familiarity with Docker and Kubernetes.
- Hands-on experience with LLM fine-tuning, prompt engineering, and deployment.
- Knowledge of text embedding models and vector databases for Retrieval Augmented Generation systems.
- Experience with distributed computing frameworks such as Spark or Ray is preferred.
- Experience with LangChain or LangGraph for AI agents and multi-agent systems is preferred.
- Experience building feature stores or working with vector databases is preferred.
- Knowledge of real-time inference architectures and model monitoring systems is preferred.
- Experience developing scalable ML services via REST or gRPC is preferred.
- Bachelor’s degree preferred, or equivalent combination of education and relevant professional experience.
Benefits
- Hybrid work arrangement in Mountain View, CA, or Atlanta, GA.
- No travel expected.
- Typical base salary of USD $162,512–$342,750 per year, with potential eligibility for a corporate bonus program.
- Employee ownership, health insurance, 401(k) with matching contributions, disability insurance, paid time off, and growth opportunities.
Tech Stack
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