Machine Learning Engineer

Position: Senior Machine Learning Engineer Location: Mountain View, CA - Hybrid Duration: 12 Months Main skill: Time Series, ML models training production experience, Vision Models - 2D/3D Role Overview: The customer is looking for a Machine Learning Engineer to work on products related to seismic and well log data. The role will involve identifying simple geologic characteristics of the data (faults, horizons) and requires working knowledge of different subsurface data formats and types. Requirements: • Strong experience in building and deploying machine learning models, especially in image processing and time series signal processing. • Proficiency with TensorFlow and PyTorch. • Hands-on experience with training and fine-tuning ML models for production. • Skilled in building and maintaining data pipelines for image and sensor data. • Familiarity with ML Ops tools and practices (model monitoring, versioning, and deployment). • Experience with data labeling tools. • Knowledge of cloud platforms, particularly Google Cloud Platform (GCP). Edge deployment experience is a plus. • Excellent communication and collaboration abilities. • Strong problem-solving skills and passion for machine learning and its applications. Nice-to-Have Skills: • Quick learning ability for GCP if no prior experience (training support may be provided). • Familiarity with Protocol Buffers, Containers, and rapid prototyping to validate hypotheses. Key Focus Areas for Candidates: • Time series and ML model training experience in production environments. • Expertise in Vision Models (2D/3D).