The Machine Learning Engineer will design, develop, and deploy feature pipelines for data science and machine learning, collaborating with team members to enhance model performance and campaign optimization.
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 looking for a highly motivated Machine Learning Engineer to join our Features Generation team. In this role, you will be instrumental in designing, developing, and deploying the next generation of intelligent, scalable, and production-grade feature pipelines that power the core of our data science and machine learning systems.
As a key member of the team, you will work closely with data scientists, engineers, and product stakeholders to create high-quality, reusable features that enable better model performance and more impactful campaign optimization. Your work will directly influence how we extract value from large-scale data and transform it into actionable intelligence.
This position will be located in Bellevue, WA with a hybrid work schedule of 3 days in office (Mon/Tue/Wed) and 2 days remote (Thursday/Friday).
Responsibilities
- Design, prototype, and demonstrate value of new features for use in models.
- Build engineering systems/pipelines/etc to generate/update features in production with SLA.
- Build tooling and processes to monitor the health of the systems and features the team builds.
Requirements
- 3+ years experience as a Machine Learning Engineer (or similar role).
- Experience collaborating closely with Data and Research Scientists
- Expert proficiency in relevant programming languages (e.g. Python, Java).
- Expert proficiency in SQL.
- Expert experience with big data (terabyte-scale or larger)
- Experience with orchestration frameworks (e.g. Airflow).
- Experience within the Python Data Science ecosystem - NumPy, SciPy, scikit-learn, Jupyter, etc.
- Experience maintaining always-on services.
- Experience with cloud (e.g. AWS).
Preferred Qualifications
- Experience with one or more Deep Learning frameworks (e.g. pytorch).
- Experience using machine learning to create embeddings from raw data.
- Experience with streaming data (e.g. Kafka, RedPanda, Flink)
Salary
- $130,000-$170,000 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
Airflow
AWS
Flink
Java
Jupyter
Kafka
Numpy
Python
PyTorch
Redpanda
Scikit-Learn
Scipy
SQL
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