Staff Machine Learning Engineer at Quantcast

San Francisco, California, United States

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$160,000 – $220,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Advertising, Biotechnology, Data & AnalyticsIndustries

Requirements

M.S in Computer Science or related technical field with 8+ years of industry experience or Ph.D. with 5+ years
Work-authorized in the United States without the need for employer sponsorship
Fluency in Python, Java, or similar object-oriented programming language
Strong knowledge of ML algorithms such as classification, control systems, optimization, clustering, LLMs, or recommendation systems
Interest in distributed system and software design, concurrent algorithms, data structures, and software engineering
Strong skills in math, statistics, data visualization, and storytelling
Strong analytical, planning, and social skills
Experience coaching and developing junior machine learning engineers

Responsibilities

Design, code, test, and debug ML applications and constantly improve large-scale global systems
Prototype solutions, conduct data analyses to tackle large-scale inference problems, and run ML experiments
Write clean, efficient, and maintainable code using industry best practices
Work multi-functionally with other teams to develop standard methodologies in model building and validation
Collaborate closely with engineering teams to deliver high-quality ML products
Identify performance bottlenecks and optimize system components for enhanced scalability
Mentor machine learning engineers to grow their careers and improve their skills
Generate and review proposals for further research and development directions
Keep up to date with developments in machine learning outside the company

Skills

Key technologies and capabilities for this role

Machine LearningArtificial IntelligenceData AnalysisAlgorithm DevelopmentReal-time SystemsData ModelingPythonSQLCloud ComputingModel Deployment

Questions & Answers

Common questions about this position

What is the employment type for this Staff Machine Learning Engineer position?

The position is full-time.

Is this Staff Machine Learning Engineer role remote or office-based?

This information is not specified in the job description.

What skills and experience are required for the Staff Machine Learning Engineer role?

Candidates need an M.S. in Computer Science (or related field, inferred from cutoff), expertise in designing and implementing large-scale ML systems, proficiency in coding ML applications, data analysis, running experiments, and mentoring engineers.

What is the team culture like at Quantcast for the Modeling team?

The Modeling team is dynamic and forward-thinking, focusing on building and maintaining ML products for real-time bidding, collaborating multi-functionally, and thriving on transformative solutions.

What makes a strong candidate for the Staff Machine Learning Engineer position?

Strong candidates have experience leading large-scale ML systems in production, optimizing for real-time performance, mentoring engineers, staying current with ML advancements, and collaborating across teams.

Quantcast

Digital advertising tools for marketers and publishers

About Quantcast

Quantcast simplifies digital advertising and privacy compliance for both marketers and publishers. It provides tools and insights that help clients understand and reach their target audiences effectively. For marketers, Quantcast offers advanced targeting and measurement tools to optimize advertising campaigns, while for publishers, it delivers insights into audience behavior to create engaging content and attract advertisers. Key products include Quantcast Measure, which offers detailed audience insights, and Quantcast Choice, which assists businesses in complying with privacy regulations like GDPR and TCF v2.0. Unlike many competitors, Quantcast focuses on both sides of the advertising ecosystem, catering to the needs of both marketers and publishers. The company's goal is to help clients navigate the complexities of digital advertising and privacy compliance, ultimately enhancing their advertising efforts and audience engagement.

San Francisco, CaliforniaHeadquarters

2006Year Founded

$63.5MTotal Funding

SERIES_CCompany Stage

Data & Analytics, Consumer SoftwareIndustries

201-500Employees

Benefits

Paid time off

Paid volunteer time off

Post-pregnancy ramp back program

Paid bereavement leave

Total rewards compensation which includes equity grants

Employee referral bonus program

Catered lunch and fully stocked kitchens (when back working in offices!)

Mobile phone allowance

Flexible work schedules

Wellness and mental health resources

Retirement plans

Learning and development opportunities and resources

Management development programs

Comprehensive health benefits

Risks

InMobi's acquisition of Quantcast Choice may affect privacy compliance offerings.

Self-serve platform introduction could increase competition from similar ad tech services.

APAC expansion may strain resources and lead to operational challenges.

Differentiation

Quantcast offers AI-driven, cookieless solutions amid tightening privacy regulations.

Partnership with Dentsu enhances predictive audience capabilities in privacy-safe advertising.

Quantcast Measure provides detailed audience insights for publishers and marketers.

Upsides

Expansion in APAC positions Quantcast for growth in emerging markets.

Recognition for Best Ecommerce Customer Acquisition Strategy highlights effective growth strategies.

Partnership with Dentsu offers a competitive edge in privacy-safe advertising.

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