Staff Applied Machine Learning Software Engineer Generative AI
1 week ago
Overview:
WHAT YOU DO AT AMD CHANGES EVERYTHING
We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the worlds most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.
AMD together we advance_
Responsibilities:The Role:
The AI Group at AMD is searching for talented and motivated engineers and scientists to work on Generative AI inference solutions. You will explore and improve upon state-of-the-art research in both academia and industry and innovate in the areas of software development, model optimization and compression algorithms for Generative AI applications such as LLMs, Stable Diffusion and Multi Modal Models. You will be a part of the core AI Solutions team enabling GenAI on a wide variety of AMDs products such as RyzenAI XDNA/NPU, CPU, GPU and embedded architectures. Your work will shape and influence AMDs inference and training solutions across the software stack from frameworks like Pytorch/ONNX to custom hardware like NPU/GPU.
The Person:
If you are passionate about software engineering, reading latest literature, producing novel ideas, leading implementation of those ideas through high quality code, push the boundaries on scale and performance, then this is a perfect role for you.
You will be someone with a deep understanding of foundational AI model architectures, software development, AI/ML frameworks such as Pytorch, quantization and sparsity algorithms. You will have demonstrated efficiently mapping AI models on to GPUs and/or other hardware accelerators.
You are someone who can work in a dynamic, fast-paced development environment with excellent collaboration skills with a spirit of innovation. You will work with multiple engineering teams that are geographically dispersed. You will work on next generation framework software, guiding other senior developers and domain experts.
Key responsibilities:
- Accelerate inference of Generative AI on AMDs products.
- Develop tools and techniques for model analysis, profiling, performance projections and analyzing architecture bottlenecks.
- Architect and prototype custom kernels on GPUs and CPUs (HIP, CUDA, OpenCL, Triton, etc.)
- Optimize deep learning inference pipeline including graph compilation using AMD AI compilers.
- Reproduce and improve upon state-of-the-art quantization, pruning, optimization algorithms in Pytorch and Python.
- Develop high quality software to enable next-gen solutions.
- Collaborate with AI/ML frameworks and infrastructure teams to enable new algorithms in the platforms.
- Collaborate with AMD Research and Architecture teams to improve future products.
- Team player and ready to work with a geographically distributed team.
- Influence the direction of AI/ML platforms for inference and training.
Preferred Experience:
- Solid understanding of CNN, Transformer model architectures, LLMs, Stable Diffusion models.
- Strong development and debugging skills in Python.
- Experience with model optimization, including quantization, sparsity algorithms.
- Experience in development with ML frameworks such as PyTorch, ONNXRuntime, JAX, TensorFlow.
- Familiarity with torch.fx and/or other AI compilers, execution runtime.
- Experience in C++ programming for GPUs and/or custom accelerators
- Highly preferred - knowledge of custom accelerator hardware
- Knowledge of LLMs/LMMs finetuning methods like RLHF.
- Knowledge of parameter efficient techniques like LoRA QLoRA.
- Contributions to open ML research or developer community
- Strong communication and problem-solving skills.
ACADEMIC CREDENTIALS:
- BS, MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related technical fields.
Location: San Jose, California.
#LI-JT1
Qualifications:At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMDs Employee Stock Purchase Plan. Youll also be eligible for competitive benefits described in more detail here.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants needs under the respective laws throughout all stages of the recruitment and selection process.
-
San Jose, United States Advanced Micro Devices , Inc. Full timeOverview: WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences the building blocks for the data center, artificial intelligence, PCs, gaming and embedded....
-
Machine Learning Engineer, Applied AI
3 weeks ago
San Francisco, United States OpenAI Full timeAbout the TeamOpenAI is at the forefront of artificial intelligence, driving innovation and shaping the future with cutting-edge research. Our mission is to ensure that AI's benefits reach everyone. We are looking for visionary Machine Learning Engineers to join our Applied Group, where you'll transform groundbreaking research into real-world applications...
-
Machine learning Engineer
1 week ago
San Jose, United States AI Technologies LLC Full timeW-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed. Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters. Job Overview Job ID: J36993 Specialized Area: Machine learning Job Title: Machine learning...
-
San Francisco, United States Scale AI, Inc. Full timeScale's Generative AI Data Engine powers the most advanced LLMs and generative models in the world through RLHF/RLAIF, data generation, model evaluation, safety, and alignment.As the Manager of the Generative AI Applied ML team, you will lead a talented team of research engineers and ML engineers focused on delivering scalable, production-ready solutions to...
-
Software Engineer
1 week ago
San Francisco, United States Sara Software Systems Full timebem Share this job San Francisco, CA, USA Full Time Role Highlights Computer Science Integrations Software Systems LLMs AI Tools, Libraries and Frameworks Description The company leverages LLMs to create a new interface between humans and systems to build robust and scalable software solutions. The role involves working directly with founders to...
-
Machine Learning Engineer, Security AI
4 weeks ago
San Jose, United States Cisco Systems, Inc. Full timeApplication window is expected to close on November 15, 2024. Who We Are The Cisco Security AI team delivers AI products and platform for all Cisco Secure products and portfolios so businesses around the world can defend against threats and safeguard the most vital aspects of their business with security resilience. We are passionate about making our...
-
Machine Learning Engineer, Security AI
1 week ago
San Jose, United States Cisco Full timeApplication window is expected to close on December 6th, 2024. Who We Are The Cisco Security AI team delivers AI products and platform for all Cisco Secure products and portfolios so businesses around the world can defend against threats and safeguard the most vital aspects of their business with security resilience. We are passionate about making our...
-
Machine Learning Engineer, Security AI
4 weeks ago
San Jose, United States Cisco Systems, Inc. Full timeApplication window is expected to close on November 15, 2024.Who We AreThe Cisco Security AI team delivers AI products and platform for all Cisco Secure products and portfolios so businesses around the world can defend against threats and safeguard the most vital aspects of their business with security resilience. We are passionate about making our customers...
-
Machine Learning Engineer, Security AI
1 week ago
San Jose, United States Cisco Full timeApplication window is expected to close on November 22, 2024. Who We Are The Cisco Security AI team delivers AI products and platform for all Cisco Secure products and portfolios so businesses around the world can defend against threats and safeguard the most vital aspects of their business with security resilience. We are passionate about making our...
-
Machine Learning Engineer, Security AI
3 weeks ago
San Jose, United States Cisco Full timeApplication window is expected to close on November 22, 2024.Who We AreThe Cisco Security AI team delivers AI products and platform for all Cisco Secure products and portfolios so businesses around the world can defend against threats and safeguard the most vital aspects of their business with security resilience. We are passionate about making our customers...
-
San Francisco, United States Scale AI, Inc. Full timeScale's Generative AI ML team conducts research on models, supervision, and algorithms that advance frontier models for Scale's applied-ML teams and the broader AI community. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work...
-
Machine learning Engineer
3 days ago
San Jose, CA, United States AI Technologies LLC. Full timeW-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed. Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters. Job Overview Job ID: J36993 Specialized Area: Machine learning Job Title: Machine learning...
-
Staff Machine Learning Engineer, Gen AI
1 week ago
San Mateo, United States Mozilla Full timeTeam: Firefox Locations: Remote US, Remote Canada, Remote Germany, Remote France, Remote UK, Remote Denmark, Remote Finland, Remote Spain, Remote Belgium, Remote Netherlands, Remote Sweden To learn the Hiring Ranges for this position, please select your location from the Apply Now dropdown menu. To learn more about our Hiring Range System, please click this...
-
Applied Machine Learning Engineer
1 week ago
San Francisco, United States Recruiting from Scratch Full timeWho is Recruiting from Scratch : Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. Applied Machine Learning Engineer About Us We're a cutting-edge technology...
-
Machine Learning
1 month ago
San Francisco, United States Snorkel AI Full timeWe're on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to...
-
Machine Learning Engineer, Security AI
3 weeks ago
san jose, United States CISCO Systems Full timeApplication window is expected to close on November 22, 2024.Who We AreThe Cisco Security AI team delivers AI products and platform for all Cisco Secure products and portfolios so businesses around the world can defend against threats and safeguard the most vital aspects of their business with security resilience. We are passionate about making our customers...
-
Machine Learning Engineer
7 days ago
San Mateo, United States Lumino Ai Full timeAbout Lumino At Lumino, our mission is to unlock the power of AI for every human, and we can't do this without having the best people in the world on the team. AI is one of the next set of technologies that will unlock vast potential of human innovation, empowering us to solve problems that were thought to be unsolvable. Lumino is a technology company that...
-
Machine Learning Engineer
1 week ago
San Mateo, United States Lumino Ai Full timeAbout Lumino At Lumino, our mission is to unlock the power of AI for every human, and we can't do this without having the best people in the world on the team. AI is one of the next set of technologies that will unlock vast potential of human innovation, empowering us to solve problems that were thought to be unsolvable. Lumino is a technology company that...
-
Senior Machine Learning Engineer
4 weeks ago
San Francisco, United States Truva AI Full timeWhy Join Truva.aiTruva stands at the forefront of SaaS innovation, specializing in automating tasks, optimizing workflows, and delivering unparalleled operational efficiency with LLMs.Truva is backed by top VCs such as YCombinator and Fintech Collective and led by Gaurav - 2x founder and an alumnus of Stanford, and Anuja - an alumnus of Haas MBA from UC...
-
Software Engineer
1 week ago
San Francisco, California, United States GlaxoSmithKline Full timeGSK is a global biopharma company with a mission to unite science, technology, and talent to tackle disease together.As a Software Engineer in our AI/ML team, you will play a critical role in helping us achieve this goal by designing, building, and shipping high-quality software that enables the development of transformational medicines using machine...