ML Research Engineer

  • US$200000.00 - US$400000.00 per annum
  • San Francisco, California
  • Permanent

Research Engineer

Are you an innovative thinker passionate about advancing AI technology? We're looking for a Research Engineer to join our dynamic team in pioneering the future of artificial intelligence. Our company stands at the forefront of AI development, working on cutting-edge projects that reimagine how technology interacts and assists in everyday tasks.

As a Research Engineer with us, you'll be part of a visionary organization that values integrity, quality, and teamwork, striving to build AI solutions that not only perform tasks but do so with a high level of understanding and reliability.

As a Research Engineer, your role will be multifaceted, involving the development and optimization of AI models that are not only innovative but also scalable and efficient. You'll be engaged in activities such as training large-scale models across extensive GPU clusters, enhancing model inference throughput, and implementing continual learning algorithms based on user feedback. Additionally, you'll design and integrate interfaces that allow our AI models to interact with various real-world tools and APIs, pushing the boundaries of what AI can achieve.

What We Can Offer You:

  • Competitive compensation that ranks in the 75th to 90th percentile, including base salary, substantial equity, and comprehensive benefits.
  • Contributions to a 401K plan with a 6% match.
  • Flexible working hours tailored to your needs.
  • Options to work either from our offices in San Francisco or Vienna, or remotely.
  • A chance to be part of a small, agile, and highly focused team.

Key Responsibilities:

  • Design and implement large-scale dataset architecture to support advanced model training.
  • Optimize distributed training processes across large GPU clusters.
  • Continuously improve inference efficiency and accuracy.
  • Develop interfaces for model interaction with external APIs and tools.
  • Innovate and test new model architectures and algorithms.

By joining our team, you'll be diving into a culture focused on achieving high standards and producing results that truly feel magical. Here, every contribution is vital, and every team member is valued for their unique insights and dedication to advancing the field of AI. If you're ready to work on hard problems and push the limits of what's possible, we invite you to apply as a Research Engineer and help shape the future of AI technology.

Relevant Keywords: Distributed training, model inference, continual learning, AI interaction interfaces, dataset architecture, GPU optimization, algorithm design.

Rose Noterman Recruitment Executive

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