Senior Manager, Machine Learning Research Science
: Job Details :

Are you ready to revolutionize the advertising industry? At Cognitiv, we are not just another AdTech company—we are industry trailblazers redefining media buying with our Deep Learning Advertising Platform. Since 2015, we have harnessed the power of cutting-edge deep learning technology and data science to transform how brands connect with their customers. Our mission? To bring intelligence to advertising and deliver unparalleled precision, relevance, and impact at scale.

With our innovative platform, advertisers enjoy unprecedented flexibility—whether it is activating Dynamic Deals through their preferred DSP, leveraging our managed service DSP, or utilizing our industry-first ContextGPT product. As a part of Cognitiv, you will be at the forefront of AI-driven advertising solutions, driving change and achieving remarkable growth in a rapidly evolving industry.

Life At Cognitiv

Our solutions provide advertisers with more time and freedom to concentrate on what matters to them most, both professionally and personally. We carry this philosophy into our workplace, offering our employees more chances to grow, collaborate, and achieve their goals. At Cognitiv, you will get MORE:

Festiv - Fun and positivity are integral to our work environment. From cross-departmental games to friendly competitions and unique events, we ensure a dynamic and enthusiastic culture.

Responsiv - Making a difference for our clients is at the heart of what we do. To make this one of our superpowers, we strive to create a culture of open communication and continuous learning. You will work closely with clients and key company stakeholders, sharpening your communication skills in a supportive environment where your input and ideas are valued and integral to our success.

Inclusiv - Diversity and inclusion are more than just words to us—they are principles we live by. We celebrate unique perspectives, ensuring everyone feels valued and respected.

Inventiv - As industry pioneers, we continuously reinvent and reimagine solutions. Sharing our knowledge and expertise to educate and lead the market is part of our DNA. If you love questioning the status quo, pushing boundaries, and challenging conventional thinking, you will fit right in. We admire intellectual curiosity and encourage it at every turn.

Transformativ - We invest in the continuous growth and development of our team members, celebrating their contributions and supporting their work-life balance and overall well-being. Our holistic training, onboarding programs, and professional growth and development initiatives ensure you have the resources to succeed.

Collaborativ - We transcend geographical boundaries, seamlessly operating across two coasts. Our culture thrives on cross-departmental collaboration and a unified sense of purpose, making teamwork a cornerstone of our success.

We are seeking a Manager or Senior Manager, Machine Learning Research Science with a strong background in leading advanced deep learning projects, feature enhancement, and Large Language Model (LLM) integration. In this role, you will lead and mentor a team of seasoned adtech research scientists, driving the advancement of real-time bidding (RTB) algorithms and the incorporation of LLM technology into our adtech solutions. You will oversee the development and optimization of robust, end-to-end training pipelines, enhance our algorithmic strategies, and ensure the successful implementation of innovative technologies that revolutionize feature capabilities and model architectures within the adtech industry. Additionally, you will maintain a hands-on approach, actively participating in code reviews and contributing directly to the technical development of your team members. If you are passionate about leading a dynamic team in a fast-paced environment and eager to tackle complex challenges in adtech, we invite you to join our team of experts in this transformative managerial role.

This position will be located in San Mateo, CA with a hybrid work schedule of 3 days in office (Mon/Tue/Wed) and 2 days remote (Thursday/Friday).

Responsibilities

• Lead and manage a team of Machine Learning Research Scientists, fostering a collaborative and innovative research environment.
• Define and execute the strategic vision for machine learning research initiatives within the adtech domain.
• Oversee the design and implementation of cutting-edge deep learning architectures to drive innovation and performance improvements in our adtech solutions.
• Maintain a hands-on approach by actively participating in the development process and conducting thorough code reviews to ensure code quality and adherence to best practices.
• Stay abreast of the latest LLM research and guide the integration of new findings into Cognitiv's adtech solutions.
• Collaborate with operations, engineering, and cross-functional teams to refine data pipelines, model deployment, and monitoring systems.
• Ensure the continuous enhancement of machine learning models and algorithms for improved ad targeting, real-time bidding efficacy, and audience relevance.
• Manage project timelines, resources, and deliverables to ensure successful completion of research projects.
• Represent the machine learning research team in strategic discussions and contribute to company-wide initiatives.
• Mentor and develop team members, providing guidance on technical challenges and supporting career growth.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Electrical Engineering, or a related field.
• 5-7+ years of experience in machine learning research and development.
• Proven experience in a leadership or managerial role, with the ability to lead and mentor a team of researchers.
• Expertise in deep learning architectures (e.g., transformers) and frameworks (e.g., PyTorch).
• Proficient in Python programming with strong software engineering principles, algorithms, and data structures.
• Strong understanding of traditional machine learning algorithms (e.g., XGBoost, PCA).
• Extensive experience with Large Language Models (LLMs).
• Knowledge of distributed computing, cloud platforms (e.g., AWS, GCP, Azure), and big data technologies (e.g., Hadoop, Spark).
• Hands-on experience in developing, deploying, and optimizing machine learning models in production environments.
• Excellent written and verbal communication skills, strong organizational and project management abilities.
• Ability to thrive in a fast-paced, dynamic environment and tackle complex challenges in adtech.

Preferred Qualifications

• Prior experience in AdTech and RTB systems.
• Strong C++ programming skills are a significant advantage.
• Track record of published research or contributions to the machine learning community.

Salary

• $200,000-$250,000 Base Salary + Equity

Actual compensation is based on multiple factors that are unique to each candidate, including and not limited to job-related knowledge, level of relevant experience, education and skills. Base salary is just one component of your total rewards package at Cognitiv. Employees are eligible for equity and various benefits.

Here are some of the many benefits that our employees receive:

• Medical, Dental and Vision coverage, including some plans that are 100% employer paid
• 12 weeks paid parental leave
• Career Ladders slated to advance your career
• Unlimited PTO
• Work-From-Anywhere August
• Equity at all levels
• Comprehensive onboarding program (Cognitiv University)
• Hybrid work model
• Daily Lunch On Us
• Health and Wellness Stipend
• Cell phone reimbursement
• Parking Expense (CA & WA Offices)
• 401(k) plan with employer match
• Employee Assistance Program
• Pre-tax commuter benefits
• and MORE!

Cognitiv is an equal opportunity employer and prohibits discrimination and harassment of any kind. We are committed to ensuring equal employment opportunities for all employees and applicants, regardless of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by federal, state, or local laws.

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