Senior Software Engineer, Models - US (Remote) at Weight & Biases

San Francisco, California, United States

Weight & Biases Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
AI, Machine Learning, TechnologyIndustries

Requirements

  • Multiple years in Full-stack engineering, building and maintaining user facing products. Experience with time series data and data visualizations is a plus
  • Advanced proficiency in modern web technologies such as React, Typescript
  • Strong software engineering fundamentals and knowledge of at least 1 modern programming language (Java, Go, Python, C++, etc)
  • Experience building high quality products end to end - technical design, implementation, testing, and launch
  • An ability to navigate ambiguity and reach a clear understanding of problems affecting our users
  • An ability to build features based on complex requirements stated in user terms, either from users directly, or from our product/customer support organizations
  • Interest in the AI/ML space, and a desire to continue to learn
  • Fluent in English, both written and spoken, in order to communicate with our global team and stakeholders

Responsibilities

  • Lead new product initiatives that help our customers (ML engineers) collaborate and share information
  • Collaborate with other developers on complex technical and performance challenges
  • Find ways to make the developers on the team more productive
  • Focus on our end users and listen to customer feedback in order to improve our product, either by working directly with customers, or with our team of customer support personnel, designers and PMs

Skills

Key technologies and capabilities for this role

Machine LearningDeep LearningGenerative AIExperiment TrackingSoftware EngineeringProduct DevelopmentCustomer CollaborationPerformance OptimizationDeveloper Productivity

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position in the US.

What technical skills are required for this role?

The role requires multiple years in full-stack engineering, advanced proficiency in modern web technologies such as React and Typescript, strong software engineering fundamentals with knowledge of at least one modern programming language like Java, Go, Python, or C++, and experience building high-quality products end-to-end.

What is the salary or compensation for this position?

This information is not specified in the job description.

What does the Models team work on?

The Models team works on features that enhance and centralize the machine learning development workflow, collaborating with customers and other teams to build products that accelerate ML model development.

What makes a strong candidate for this role?

Strong candidates have full-stack experience, proficiency in React and Typescript, the ability to navigate ambiguity, build features from complex user requirements, and a strong interest in AI/ML.

Weight & Biases

AI platform for model development and management

About Weight & Biases

Weights & Biases provides a platform designed to help AI developers create more efficient machine learning models quickly. The platform includes tools for tracking experiments, managing workflows, evaluating model performance, and reproducing models, as well as features for version control and dataset iteration. This allows AI teams to conduct more experiments and improve their productivity. Weights & Biases operates on a software-as-a-service model, where clients pay a subscription fee to access its features, ensuring a steady revenue stream. The company stands out in the growing AI and machine learning market by offering a comprehensive solution that simplifies the development process for AI developers and machine learning teams.

San Francisco, CaliforniaHeadquarters
2017Year Founded
$243.2MTotal Funding
LATE_VCCompany Stage
Enterprise Software, AI & Machine LearningIndustries
201-500Employees

Benefits

🏝️ Unlimited vacation time
🩺 100% Medical, Dental, and Vision for employees and Family Coverage
🏠 Remote first culture with in-office flexibility in San Francisco
💵 $1000 home office budget with new high-powered laptop
🥇 Truly competitive salary and equity
🚼 12 weeks of Parental leave
📈 401(k)

Risks

Increased competition from NVIDIA's AI orchestration tools challenges W&B's market position.
Anthropic's Claude AI model's success may divert potential customers from W&B.
Cohere's fine-tuning services could attract enterprises, impacting W&B's customer base.

Differentiation

W&B offers comprehensive AI model tracking and visualization tools for developers.
The platform supports seamless integration with NVIDIA technologies for enhanced AI deployment.
W&B's SaaS model ensures recurring revenue through long-term client subscriptions.

Upsides

Growing demand for AI model tracking tools boosts W&B's market potential.
Recognition as Google Cloud Technology Partner of the Year enhances W&B's credibility.
Participation in NAIRR pilot program promotes W&B's role in responsible AI innovation.

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