As a Senior Machine Learning Engineer, you will develop deep learning architectures and optimize systems for adtech solutions, leading the research roadmap and mentoring team members.
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 Senior Machine Learning Engineer, Science with expertise in advanced deep learning architectures, feature enhancement, and Large Language Model (LLM) applications. Join our seasoned adtech research science team and play a pivotal role in advancing the landscape of real-time bidding (RTB) algorithms and embedding LLM technology in adtech. This role is designed for individuals eager to leverage their skills in crafting revolutionary engineering solutions and refining our machine learning infrastructure. If you are passionate about propelling the technological boundaries in machine learning, crafting groundbreaking algorithms for multi-billion dollar markets, and thriving within a vibrant, forward-thinking atmosphere, your moment has arrived.
This position will be located in Bellevue, WA with a hybrid work schedule of 3 days in the office (Mon/Tue/Wed) and 2 days remote (Thu/Fri).
Responsibilities
- Develop and implement cutting-edge deep learning architectures aimed at boosting the performance and innovation of AdTech solutions at Cognitiv.
- Design and optimize distributed deep neural network (DNN) training systems, automating workflows and enhancing model scalability.
- Oversee model deployment, serialization, and the development of efficient infrastructure to support DNN and Large Language Models (LLMs) in production environments.
- Conduct LLM infrastructure assessments and research to identify areas for improvement and innovation.
- Set coding standards and best practices, leading the adoption of advanced engineering methodologies within the team.
- Drive strategic decision-making and lead significant segments of the AdTech research roadmap, guiding high-impact ML projects, while influencing technical decision-making and research prioritization through effective communication and data-driven presentations.
- Mentor and develop top talent within the research team, fostering a culture of excellence and continuous learning, and balancing technical rigor with strategic market impact.
Requirements
- Master's or Ph.D. in Computer Science, Statistics, Electrical Engineering, or a related field.
- 5+ years of industry-level Python programming experience.
- Expertise in deep learning architectures (e.g., transformers), frameworks (e.g., PyTorch), and related libraries.
- Experience with Large Language Models and Hugging Face's Transformers library.
- Knowledge of distributed computing, cloud platforms, big data technologies, workflow orchestration tools (e.g., apache airflow), and Docker.
- Proficiency in software engineering principles, algorithms, and data structures.
- Excellent written and verbal communication, organizational, and negotiation skills.
Preferred Qualifications
- Prior experience in AdTech and RTB systems.
- Familiarity with AWS suites.
- Knowledge of low-latency model serving.
- Strong C++ programming skills are a significant advantage.
Salary
- $200,000-$230,000 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.
Top Skills
Apache Airflow
Big Data Technologies
C++
Cloud Platforms
Deep Learning
Distributed Computing
Docker
Hugging Face
Python
PyTorch
Transformers
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