Applied AI Model Researcher
Description
Invent the future with us.
Recognized by Fast Company’s 2023 100 Best Workplaces for Innovators List, Ampere is a semiconductor design company for a new era, leading the future of computing with an innovative approach to CPU design focused on high-performance, energy efficient, sustainable cloud computing.
By providing a new level of predictable performance, efficiency, and sustainability Ampere is working with leading cloud suppliers and a growing partner ecosystem to deliver cloud instances, servers and embedded/edge products that can handle the compute demands of today and tomorrow.
Join us at Ampere and work alongside a passionate and growing team — we’d love to have you apply!
About the Role:
We are seeking a senior level Applied AI Model Researcher with deep model (LLM) development and training expertise in Generative AI. Reporting directly to the Vice President of AI, you will spearhead our efforts to deliver innovative AI models. This role is essential in shaping the future of Ampere’s AI products. As a leading member of our tech team, you will work closely with cross-functional groups, ensuring successful customer AI integrations.
What you'll achieve:
- Lead Ampere’s research initiatives to develop and implement LLM-based AI models
- Research model-level optimization techniques for efficient AI inference
- Help with implementation, testing and evaluating the performance of these models and algorithms across heterogenous hardware architectures
- Explore and assess AI technologies and methodologies to advance our platforms.
- Collaborate cross-functionally with Software/Hardware Engineering and Pathfinding teams to integrate AI solutions into Ampere’s product offerings.
- Prepare and present updates on AI projects to senior leadership.
About you:
- Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s or PhD preferred.
- 7+ years of hands-on experience in AI model (LLM) research & development, including experience with machine learning and large-scale data systems.
- Previously published research in peer-reviewed journals on relevant AI algorithms.
- Expertise in AI frameworks, LLM model architectures, tools and programming languages (such as Python, TensorFlow, PyTorch), and data analytics.
- Exceptional analytical and problem-solving abilities
- Excellent communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Ability to work effectively in a cross-functional team environment.
What we’ll offer:
At Ampere we believe in taking care of our employees and providing a competitive total rewards package that includes base pay, bonus, equity, and comprehensive benefits. The full base pay range for this role is between $163,100 and $271,900, except in the San Francisco Bay Area where the range is between $171,800 and $286,300. We offer an annual bonus program tied to internal company goals and annual meritocratic equity awards that enable our employees to participate in the success of the company.
Our benefits include health, wellness, and financial programs that support employees through every stage of life, with full benefits eligibility at 20 hours per week.
Benefit highlights include:
Our benefits include health, wellness, and financial programs that support employees through every stage of life, with full benefits eligibility at 20 hours per week.
Benefit highlights include:
- Premium medical insurance, dental insurance, vision insurance, as well as income protection and a 401K retirement plan, so that you can feel secure in your health and financial future.
- Unlimited Flextime and 10+ paid holidays so that you can embrace a healthy work-life balance.
- A variety of healthy snacks, energizing espresso, and refreshing drinks to keep you fueled and focused throughout the day
And there is much more than compensation and benefits. At Ampere, we foster an inclusive culture that empowers our employees to do more and grow more. We are passionate about inventing industry leading cloud-native designs that contribute to a more sustainable future. We are excited to share more about our career opportunities with you through the interview process.
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