Senior Machine Learning Engineer

Jobs via Dice; San Francisco (CA); On-site; USD 150,000 - 500,000; Full time

Job summary

A leading tech company is seeking a Senior Machine Learning Engineer in San Francisco. This role involves developing advanced models for image and video processing, utilizing state-of-the-art techniques in machine learning. Candidates should have a strong background in ML, deep learning, and experience with tools like PyTorch and TensorFlow. This long-term contract position offers competitive compensation and the opportunity to work on innovative projects.

Qualifications

• Mid-Senior level position requiring strong ML expertise.
• Experience with PyTorch and TensorFlow/Keras is essential.
• Familiarity with cloud platforms and data processing techniques is a plus.

Responsibilities

• Develop custom classification models for video and image data.
• Drive dataset curation and implement state-of-the-art methodologies.
• Collaborate with stakeholders to translate business needs into ML solutions.

Skills

Machine Learning

Deep Learning

Computer Vision

Image and Video Processing

Natural Language Processing (NLP)

State-of-the-Art (SOTA) Techniques

Multimodal Integration

Tools

PyTorch

TensorFlow/Keras

AWS

Azure

Google Cloud Platform

Git

JIRA

Docker

Job description

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Job Details:

Job Title: Senior Machine Learning Engineer

Location: San Francisco, CA

Duration: Long Term Contract

Job Description:

• Custom classification detection recognition Models across stills and videos
• Custom embeddings models
• Metrics driven Model selection and evaluations
• Internal Benchmark establishment with curated dataset
• Drive dataset curation workstreams including data engineering with existing data and human labeling operations
• Implement papers on SOTA methodologies on video segmentation video
• classification object face detection
• Strong command of pytorch or tensorflowkeras
• Incorporation of Multimodal processing including audio and text
• Work with stakeholders directly to translate business problems to ML problems
• Work with legal teams on model compliance
  
  

Primary Skills: Machine Learning, Deep Learning, Computer Vision, Image and Video Processing, PyTorch, TensorFlow/Keras, Natural Language Processing (NLP), GenAI, State-of-the-Art (SOTA) Techniques, Video Segmentation, Object and Face Detection, Audio Processing, Text Processing, Multimodal Integration

Secondary Skills: Python, Dashboard Creation, AWS/ Azure/Google Cloud Platform (Google Cloud Platform), Git, GitHub, JIRA, Confluence, Slack, Jenkins, Docker.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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