Senior ML Infrastructure Engineer VE Algorithms
Job Location:
Job Location:
San Diego, CA - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
3 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Are you passionate about groundbreaking modeling technologies to enrich billions of people We are the Video Engineering (VE) team at Apple developing cutting-edge video and machine learning algorithms to build the photo and video features that Apple devices are well known for. We are seeking engineers experienced in building infrastructure for training adapting and deploying large-scale generative this role you will be working closely with a cross functional team of algorithm design and infrastructure engineers to benchmark prototype and steer algorithmic choices to best fit our training and deployment infrastructure.
In this role you will be technically hands on with deep subject matter expertise in ML infrastructure focusing on distributed and parallelized training of images and videos and efficient utilization of training hardware.
Optimize and profile training pipelines for large-scale visual pre-training across diffusion and auto-regressive and implement workload scheduling strategies for distributed training across clusters of thousands of and optimize across the full compilation stack from high level graph capture through intermediate representations down to target and maintain experimentation tooling dashboards and scalable CI/CD pipelines tailored to multi-GPU training workflows.
BS in Electrical Engineering/Computer Science or a related field with a focus on machine learning and minimum 3 years industry in training and adapting fluency in programming skills in Python or C and experience contributing software to large with distributed training of large models.
Strong Machine Learning working with large cross-functional and diverse teams.
In this role you will be technically hands on with deep subject matter expertise in ML infrastructure focusing on distributed and parallelized training of images and videos and efficient utilization of training hardware.
Optimize and profile training pipelines for large-scale visual pre-training across diffusion and auto-regressive and implement workload scheduling strategies for distributed training across clusters of thousands of and optimize across the full compilation stack from high level graph capture through intermediate representations down to target and maintain experimentation tooling dashboards and scalable CI/CD pipelines tailored to multi-GPU training workflows.
BS in Electrical Engineering/Computer Science or a related field with a focus on machine learning and minimum 3 years industry in training and adapting fluency in programming skills in Python or C and experience contributing software to large with distributed training of large models.
Strong Machine Learning working with large cross-functional and diverse teams.
Required Experience:
Senior IC
About Company
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar ... View more
