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Machine Learning Engineer
- San Francisco, California, United States
- San Francisco, California, United States
Über
You’ll work closely with research, product, and engineering teams to turn cutting‑edge capabilities into reliable, high‑performance systems in production.
Key Responsibilities
Model Development & Deployment: Build, fine‑tune, and deploy machine learning models into production environments
Systems Engineering: Design scalable pipelines for training, inference, evaluation, and monitoring
Performance Optimization: Improve latency, throughput, cost efficiency, and reliability of ML systems
Data & Infrastructure: Work with large‑scale datasets and integrate models with internal systems and APIs
Cross‑Functional Collaboration: Partner with product and engineering teams to deliver end‑to‑end AI features
Evaluation & Monitoring: Implement robust evaluation frameworks, observability, and feedback loops
Minimum Qualifications
Education: Bachelor’s or Master’s in Computer Science, Engineering, or related field (PhD optional, not required)
Technical Skills: Strong proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX)
Production Experience: Experience deploying and maintaining ML systems in production environments
Systems Knowledge: Familiarity with distributed systems, data pipelines, and cloud infrastructure (e.g., AWS, GCP)
Practical ML Expertise: Experience with model training, fine‑tuning, evaluation, and iteration at scale
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Sprachkenntnisse
- English
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