Machine Learning Infrastructure and Data Engineer

9 Minutes ago • 2 Years + • $147,400 PA - $272,100 PA
Research Development

Job Description

Be part of the Video Computer Vision (VCV) organization, focusing on people understanding from real-time video streams and building higher-level reasoning algorithms for products like Vision Pro, iPhone, and iPad. This role involves a balance of research and development to deliver pioneering experiences. As an ML Infrastructure and Data Engineer in the Human Intelligence team, you will create and maintain the data and infrastructure ecosystem for ML development, taking end-to-end ownership from conception to deployment, and working closely with ML engineers and data scientists on complex problems.
Must Have:
  • Bachelor's degree in Computer Science or related, 2+ years experience.
  • Strong foundational knowledge in Computer Science.
  • Extensive programming experience in Python, Go, or Java.
  • Hands-on experience with cloud providers (AWS, GCP, Azure).
  • Strong understanding of core infrastructure concepts (compute, networking, storage, containers, Kubernetes).
  • Experience with ML model development lifecycle (preprocessing, training, evaluation, deployment).
  • Proficiency with cloud computing and distributed data processing infrastructure (Kubernetes, Ray, Spark, Trino).
  • Hands-on experience with CI/CD pipelines and practices.
  • Familiarity with Infrastructure as Code (IaC) tools (Terraform, Pulumi, CloudFormation).
  • Experience building on LLMs or other generative models.
  • Ability to drive projects from concept to production.
  • Excellent communication skills, ability to work independently and multi-functionally.
Perks:
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Range of discounted products and free services
  • Reimbursement for certain educational expenses (tuition)
  • Discretionary bonuses or commission payments (if eligible)
  • Relocation (if eligible)
  • Opportunity to become a shareholder (employee stock programs)
  • Discretionary restricted stock unit awards
  • Ability to purchase stock at a discount (Employee Stock Purchase Plan)

Add these skills to join the top 1% applicants for this job

communication
game-texts
html
networking
aws
azure
terraform
spark
computer-vision
ci-cd
kubernetes
python
algorithms
java
machine-learning

Want to ship amazing experiences in products? Be part of the team in the Video Computer Vision (VCV) organization that focuses on people understanding from real-time video streams and building higher level reasoning algorithms. VCV delivered features such as Face ID, RoomPlan as well as many other computer vision algorithms powering Vision Pro, iPhone, and iPad. We focus on a balance of research and development to deliver quality, pioneering experiences. Come shape products as a driven and dedicated professional to push the limits of ML algorithms with hands-on work and real world and simulated data, in an innovative team and be part of building the next big thing.As part of the Human Intelligence team, you will help us create the data and infrastructure ecosystem needed to support our ML development and continuously improve our features. We take full end-to-end ownership of our services and data products, driving them through every stage meticulously, encompassing conception, design, implementation, deployment, and maintenance. As a result, each one of us takes our responsibilities seriously. In this team, you’ll have the opportunity to work on complex problems in close partnership with our ML engineers, data scientists and software integration teams.* Bachelor's degree in Computer Science or related discipline, and 2 years relevant industry experience.* Strong foundational knowledge in Computer Science.* Extensive programming experience in Python, Go or Java.* Hands-on experience with cloud providers (AWS, GCP, or Azure).* Strong understanding of core infrastructure concepts (e.g., compute, networking, storage, containers, Kubernetes).* Experience with machine learning model development lifecycle, including data preprocessing, model training, evaluation, and deployment.* Proficiency with cloud computing and distributed data processing infrastructure and tools (e.g., Kubernetes, Ray, Spark, Trino).* Hands-on experience with CI/CD pipelines and practices.* Familiarity with Infrastructure as Code (IaC) tools (e.g. Terraform, Pulumi, or CloudFormation).* Experience building on LLMs or other generative models.* Ability to drive projects from concept to production, balancing business needs with technical quality and timely delivery.* Excellent communication skills, ability to work both independently and multi-functionally.At , base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.employees also have the opportunity to become a shareholder through participation in discretionary employee stock programs. employees are eligible for discretionary restricted stock unit awards, and can purchase stock at a discount if voluntarily participating in Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at , reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Benefits.Note: benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

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