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Machine Learning Engineer

This role is a Machine Learning Engineer position in Sunnyvale, CA, with a contract duration of over 6 months. Pay rate is unspecified. Key skills include Python, NLP, deep learning, and experience with ad serving platforms.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
520
🗓️ - Date discovered
February 19, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
Sunnyvale, CA
🧠 - Skills detailed
#NLP (Natural Language Processing) #Deployment #Batch #ML (Machine Learning) #Data Science #Redis #PyTorch #TensorFlow #Deep Learning #AI (Artificial Intelligence) #Security #Python
Role description
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We are looking for a Machine Learning Engineer to work for one of our direct clients in Sunnyvale CA, USA.

It's a long term contract role with the client.

Hybrid Role: 2-3 days a week onsite (Sunnyvale, CA).

What you'll do:
• Execute a roadmap for engagement and bid recommendation modeling, balancing innovative modeling approaches with business objectives. Build client scale optimizations to improve advertiser outcomes using cutting-edge techniques in the industry.
• Support the Model development lifecycle from ideation to deployment, ensuring high standards of ML performance and robustness.
• Collaborate Cross-Functionally: Partner with PMs, data scientists, and other engineering teams to align on engagement strategies, data requirements, and model KPIs.
• Innovate in ML Architecture: Implement and optimize model architectures tailored to engagement prediction, leveraging deep learning and advanced ML techniques. Think out-of-the box!

What you'll bring:
• 2+ years of contributing high-quality code to production systems that operate at scale.
• Participate the design, development and implementation of complex machine learning solutions/algorithms that drive business results leveraging Python, Nodejs, LLM, NLP Models, Chat GPT or similar platforms, scikit-learn, TensorFlow/Pytorch, Cassandra, BQ, Redis
• Solve complex problems with multilayered data sets, multi batch inferencing. Upholding ML engineering best practices - enforcing high standard for quality, reliability, and security in deployed machine learning solutions.
• Stay up to date with the latest AI/ML technologies and trend - acting as a thought leader for ML Engineering within the organization and in the broader technical community.
• Experience designing optimization algorithms in an ad serving platform and/or other marketplaces is preferred.