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General Atomics
Poway, CA, United States
General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems. We have an exciting opportunity for a Machine Learning Engineer in Poway, CA. The Autonomy and Artificial
Job Source: General AtomicsGEICO
Poway, CA, United States
GEICO is seeking an experienced Senior Engineer with a passion for building high performance, low-latency platforms, and applications. You will help drive our insurance business transformation as we redefine experiences for our customers. Our Senior Engineer is a key member of the engineering staff working across the organization to provide a f
Job Source: GEICOAmicus Therapeutics
San Diego, CA, United States
About Amicus Amicus is an AI startup dedicated to revolutionizing the professional services industry. Our mission is to automate mundane and repetitive tasks in legal firms, consulting firms, and similar sectors, freeing up professionals to focus on higher-value activities. Our innovative approach leverages the latest in AI technology to create so
Job Source: Amicus TherapeuticsResMed
San Diego, CA, United States
Imagine a world where people are delighted by their healthcare experience. The ResMed team is taking giant strides towards making this a reality. As part of the Asia LatAm Growth Markets team we are looking to solve unique and exciting challenges utilising technology and connected solutions to impact over a billion people. We have an innovative 30
Job Source: ResMedIllumina
San Diego, CA, United States
What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of d
Job Source: Illuminacareer
San Diego, CA, United States
About RapidFire AI RapidFire AI is a cutting-edge deep tech startup specializing in scaling Machine Learning solutions. We are dedicated to empowering customers to effortlessly scale their AI workloads, ensuring they stay at the forefront of innovation in their industries. About the Role We are seeking a highly motivated and skilled Machine Learni
Job Source: careerAmicus Therapeutics
San Diego, CA, United States
About Amicus Amicus is an AI startup dedicated to revolutionizing the professional services industry. Our mission is to automate mundane and repetitive tasks in legal firms, consulting firms, and similar sectors, freeing up professionals to focus on higher-value activities. Our innovative approach leverages the latest in AI technology to create so
Job Source: Amicus TherapeuticsUnlimit Ventures
San Diego, CA, United States
Please note - this is an evergreen role As a Machine Learning Engineer, you will play a critical role in developing cutting-edge models and algorithms that transform data into actionable insights. You will collaborate with cross-functional teams, work on challenging projects, and work building one of our new exciting products in the environmental
Job Source: Unlimit VenturesSan Diego, CA, United States
Cerebras' systems are designed with a singular focus on machine learning. Our processor is the Wafer Scale Engine (WSE), a single chip with performance equivalent to a cluster of GPUs, giving the user cluster-scale capability with the simplicity of programming a single device. Because of this programming simplicity, large model training can be scaled out using simple data parallelism to the performance of thousands of GPUs. ML practitioners can focus on their machine learning, rather than parallelizing and distributing their applications across many devices. The Cerebras hardware architecture is designed with unique capabilities including orders of magnitude higher memory bandwidth and unstructured sparsity acceleration, not accessible on traditional GPUs. With a rare combination of cutting-edge hardware and deep expertise in machine learning, we stand among the select few global organizations capable of conducting large-scale innovative deep learning research and developing novel ML algorithms not possible on traditional hardware.
About the role
We are looking for a senior machine learning engineer who can work with a team of talented engineers to develop innovative machine learning solutions based on our wafer scale engine. You will be responsible for designing, implementing, and optimizing large-scale machine learning models, as well as conducting performance analysis and troubleshooting. You will also collaborate with other teams to integrate machine learning capabilities into our products and services.
R esponsibilities
Provide technical guidance and direction to a team of machine learning engineers working on various machine learning projects
Design and implement scalable and efficient machine learning systems using our wafer scale engine, especially
Perform pre-train and fine-tune trillion parameter level LLMs on the wafer scale engine clusters, with hyper-parameter tuning, model selection, and evaluation using appropriate metrics and tools
Research and apply the latest advancements in machine learning and deep learning to improve our solutions
Collaborate with other teams to integrate machine learning features into our products and service
Requirements
Master’s or PhD degree in computer science, engineering, mathematics, or related field
5+ years of experience in machine learning, data science, or software engineering
Proficient in Python, PyTorch, or other machine learning frameworks and libraries
Experience in developing and deploying large-scale machine learning models using distributed systems and cloud platforms
Experience in applying machine learning techniques to various domains such as computer vision, natural language processing, recommender systems, etc.
Experience in leading and mentoring machine learning engineers or data scientists
Strong knowledge of machine learning theory, algorithms, and best practices
Ability to work independently and collaboratively with cross-functional teams
Excellent communication, presentation, and problem-solving skills
Why Join Cerebras
People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
Build a breakthrough AI platform beyond the constraints of the GPU
Publish and open source their cutting-edge AI research
Work on one of the fastest AI supercomputers in the world
Enjoy job stability with startup vitality
Our simple, non-corporate work culture that respects individual beliefs
Read our blog: Five Reasons to Join Cerebras in 2024.
Apply today and become part of the forefront of groundbreaking advancements in AI.
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
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Email Alert for Senior Machine Learning Engineer jobs in San Diego, CA, United States
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