Senior Machine Learning Engineer
CloudKitchens3 days ago
Mountain View, CA, USASenior
Base Salary
$190k - $250k/yr
Responsibilities
- Apply machine learning and statistical methods, including large language models, deep learning, and graph neural networks, to AI agents, logistics prediction and optimization, robotics automation, recommendation systems, and knowledge graph applications.
- Develop and deploy robust, low-maintenance applied machine learning solutions in production.
- Create onboarding codelabs, tools, and infrastructure to expand access to machine learning resources.
- Collaborate with the team to enhance and support technology.
- Drive innovation and support Atoms' technological advancements.
Requirements
- A bachelor's degree is required.
- An advanced degree, such as a PhD or master's degree, in computer science, machine learning, data mining, statistics, or a related technical field is required.
- Preferred: 3+ years of relevant experience.
- Deep knowledge and experience with at least one ML model, such as LLMs, graph neural networks, deep learning, logistic regression, or gradient boosting trees.
- Working knowledge of generative AI, data mining, information retrieval, advanced statistics, natural language processing, or computer vision.
- Ability to develop software rapidly and iterate quickly.
- Ability to design and create long-lasting architecture from scratch and evolve existing systems.
- Proficiency in Python and familiarity with Java or Go.
- Experience with data analysis and visualization.
- Strong communication and presentation skills.
Benefits
- Medical, dental, and vision insurance, including HSA options.
- Company-paid short- and long-term life and disability insurance.
- Voluntary accident, critical illness, and hospital indemnity insurance, plus optional supplemental life insurance.
- Pet insurance discount, 401(k), Health Savings Account, and flexible spending accounts for healthcare, dependent care, and commuting.
- Discretionary vacation days, eight paid holidays per year, paid sick time, paid bereavement leave, and paid parental leave.
- Full-time exempt USA benefits are subject to change at the company's discretion.
- The role is based in Mountain View and is onsite five days per week for office-based teams.
Categories
About CloudKitchens
We provide kitchen infrastructure and software that empower food & beverage operators to expand their operations with minimal upfront capital and time.