Member of Technical Staff - Cloud Substrate at Modal

New York, New York, United States

Modal Logo
$150,000 – $270,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI Infrastructure, Cloud ComputingIndustries

Requirements

  • 5+ years of experience writing high-quality production code
  • Strong cloud skills, and deep familiarity with at least one of AWS, GCP, Azure, Oracle Cloud
  • Experience with data science, visualization, and statistics
  • A love for optimizing stuff, especially the bottom line
  • Familiarity with linear programming solvers and related optimization techniques is a plus
  • Ability to work in-person in our NYC or Stockholm office

Responsibilities

  • Negotiating with cloud vendors and influencing our cloud strategy
  • Modeling GPU and resource costs
  • Coming up with, backtesting, and rolling out new optimizations
  • Designing the next iteration of our workload scheduling system
  • Pricing new product offerings and GPU types

Skills

Key technologies and capabilities for this role

AWSGCPAzureOracle CloudLinear ProgrammingData ScienceStatisticsVisualizationOptimizationSchedulingCloud Infrastructure

Questions & Answers

Common questions about this position

What is the salary range for this position?

The salary range is $150K - $270K.

Is this role remote or does it require in-office work?

The role requires the ability to work in-person in our NYC or Stockholm office.

What skills are required for this role?

Requirements include 5+ years of experience writing high-quality production code, strong cloud skills with deep familiarity with at least one of AWS, GCP, Azure, or Oracle Cloud, and experience with data science, visualization, and statistics. A love for optimizing, especially the bottom line, is also essential, with familiarity in linear programming solvers as a plus.

What is the company culture like at Modal?

Modal is a small, fast-growing team based in New York, Stockholm, and San Francisco, featuring creators of open-source projects, academic researchers, olympiad medalists, and experienced leaders. It offers an early-stage environment with many growth opportunities in a high-performance AI infrastructure organization.

What makes a strong candidate for this role?

Strong candidates have 5+ years of production coding experience, deep cloud expertise in at least one major provider, data science and statistics background, and a passion for optimization, ideally with knowledge of linear programming.

Modal

Employee training and skill development platform

About Modal

Modal Learning focuses on improving employee performance through skill development for businesses. Their main product, the Modal Mastery Platform, uses active learning techniques, including live cohort sessions, labs, and one-on-one coaching, to help employees engage with the material effectively. Unlike competitors, Modal Learning offers a subscription model that provides structured eight-week training programs, aligning skill development with organizational goals. The company's goal is to empower employees and help organizations retain talent by providing clear career development paths.

San Francisco, CaliforniaHeadquarters
2021Year Founded
$30.8MTotal Funding
EARLY_VCCompany Stage
Consulting, EducationIndustries
51-200Employees

Risks

Competition from established players and emerging startups could dilute Modal's market share.
Focus on data and AI may limit appeal to companies seeking broader skill development.
Economic downturns could reduce corporate spending on employee training, impacting revenue.

Differentiation

Modal offers personalized technical skills training with on-demand coaching.
The platform uses cohort-based learning to enhance engagement and retention.
Modal's strategic skills planning aligns training with business goals.

Upsides

Increased demand for personalized learning experiences boosts Modal's market potential.
Growing emphasis on data and AI skills aligns with Modal's course offerings.
Subscription model provides steady revenue and predictable growth for Modal.

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