HartleyCo
This range is provided by HartleyCo. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Interested in this role You can find all the relevant information in the description below. Base pay range $175,000.00/yr - $250,000.00/yr About Our Client: Our client is assembling a world-class team to push the boundaries of AI research and development. Their mission is to build models that generalize and adapt to novel problems, bridging cutting-edge research with real-world applications. The Role: As a Research Engineer in Pre-Training, you'll develop and implement advanced pre-training techniques to enhance foundation models. Working closely with Research Scientists, you'll experiment with model architectures, training strategies, and large-scale data pipelines to drive AI innovation. What You’ll Do: Design and optimize novel pre-training methods to improve model performance. Conduct large-scale training experiments and analyze results. Collaborate with data and product teams to refine models for real-world applications. Build scalable pre-training pipelines for massive datasets. What We’re Looking For: Strong ML fundamentals and hands-on experience with large-scale models. Proficiency in Python, JAX, PyTorch, or TensorFlow. Experience with frameworks like Megatron, DeepSpeed, or MaxText. Problem-solving mindset with a research-driven approach. Ability to deploy pre-trained models in production environments. This is a fully on-site role in San Francisco, with relocation assistance available. If you're passionate about AI research, we’d love to hear from you! Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries IT Services and IT Consulting
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Interested in this role You can find all the relevant information in the description below. Base pay range $175,000.00/yr - $250,000.00/yr About Our Client: Our client is assembling a world-class team to push the boundaries of AI research and development. Their mission is to build models that generalize and adapt to novel problems, bridging cutting-edge research with real-world applications. The Role: As a Research Engineer in Pre-Training, you'll develop and implement advanced pre-training techniques to enhance foundation models. Working closely with Research Scientists, you'll experiment with model architectures, training strategies, and large-scale data pipelines to drive AI innovation. What You’ll Do: Design and optimize novel pre-training methods to improve model performance. Conduct large-scale training experiments and analyze results. Collaborate with data and product teams to refine models for real-world applications. Build scalable pre-training pipelines for massive datasets. What We’re Looking For: Strong ML fundamentals and hands-on experience with large-scale models. Proficiency in Python, JAX, PyTorch, or TensorFlow. Experience with frameworks like Megatron, DeepSpeed, or MaxText. Problem-solving mindset with a research-driven approach. Ability to deploy pre-trained models in production environments. This is a fully on-site role in San Francisco, with relocation assistance available. If you're passionate about AI research, we’d love to hear from you! Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries IT Services and IT Consulting
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