SupportFinity™
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.
The Role
We’re seeking a Machine Learning Engineer to help build and scale the next generation of Cognitiv’s ML infrastructure. As we transition from a legacy platform to a modern, automated, and highly scalable system, you’ll play a key role in developing the tools and pipelines that power our Deep Learning Advertising Platform
You’ll work across the full ML lifecycle — from data ingestion and model training to deployment and monitoring — helping to improve automation, reliability, and performance. This is a great opportunity for an engineer who’s comfortable writing production-quality code and eager to grow their experience in large-scale ML systems, MLOps, and distributed data workflows
What You\'ll Do
Contribute to the design, development, and automation of ML workflows across data ingestion, training, deployment, and monitoring
Build and maintain scalable data pipelines that support high-volume model training and evaluation
Partner with senior engineers to optimize system performance and reduce operational bottlenecks
Collaborate closely with Product, Engineering, and ML Research teams to deliver reliable, high-impact systems
Write clean, production-level Python code and participate in code reviews to maintain quality and consistency
Help improve monitoring and observability across ML pipelines to ensure reliability in production
Tech Stack
Languages/Frameworks: Python (primary), PyTorch Lightning
Cloud/Infra: AWS, Docker, Apache Airflow
Data: ClickHouse, S3, distributed data processing tools
Models: Deep Learning, LLMs, Hugging Face ecosystem
Who You Are
Strong Coder. You write clean, efficient, and scalable code in Python, with an advanced degree (or equivalent experience) in Computer Science, Engineering, or a related field
ML Systems Builder. You’ve designed or maintained ML pipelines, automation, or MLOps systems, and have a solid grasp of model training, deployment, and monitoring in production
Distributed Data Expert. You’re experienced with distributed data processing (e.g., PySpark) and understand how to scale workflows efficiently
Deep Learning Practitioner. You’ve worked hands-on with PyTorch (bonus for PyTorch Lightning) and bring curiosity about LLMs and the Hugging Face ecosystem
Collaborative Engineer. You communicate clearly, thrive in cross-functional environments, and take pride in building reliable, well-architected systems
In-Person Collaborator. You’re available to work onsite MTW in San Mateo, partnering closely with peers to accelerate progress
Bonus Points If You Have
Exposure to LLMs or the Hugging Face ecosystem
Familiarity with AWS, Docker, and Airflow
Experience managing data at scale (e.g., S3, ClickHouse, or similar)
Knowledge of low-latency model serving
Experience in AdTech or other real-time, high-performance systems
Location & Compensation
Location: Bellevue or San Mateo (hybrid: 3 days in-office, 2 days remote)
Compensation is based on experience, skills, and other factors. Base salary is just one part of your total rewards at Cognitiv—you’ll also receive equity and a comprehensive benefits package.
Highlights include:
Medical, dental & vision coverage (some plans 100% employer-paid)
12 weeks paid parental leave
Unlimited PTO + Work-From-Anywhere August
Career development with clear advancement paths
Equity for all employees
Hybrid work model & daily team lunch
Health & wellness stipend + cell phone reimbursement
401(k) with employer match
Parking (CA & WA offices) & pre-tax commuter benefits
Employee Assistance Program
Comprehensive onboarding (Cognitiv University)…and more!
Salary: $130,000-$180,000 Base Salary + Equity
Cognitiv is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace for all.
About the company
Cognitiv
Be vigilant about potential scams, phishing attempts, or fraudulent activities, and seek credible sources or reviews to assess the trustworthiness of the company. Remember, your personal and financial security is paramount, and taking preventive measures is crucial to safeguarding your information from potential risks and unauthorized use. SupportFinity is not responsible for any consequences that may arise from disclosing such information to unauthorized or fraudulent entities.
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The Role
We’re seeking a Machine Learning Engineer to help build and scale the next generation of Cognitiv’s ML infrastructure. As we transition from a legacy platform to a modern, automated, and highly scalable system, you’ll play a key role in developing the tools and pipelines that power our Deep Learning Advertising Platform
You’ll work across the full ML lifecycle — from data ingestion and model training to deployment and monitoring — helping to improve automation, reliability, and performance. This is a great opportunity for an engineer who’s comfortable writing production-quality code and eager to grow their experience in large-scale ML systems, MLOps, and distributed data workflows
What You\'ll Do
Contribute to the design, development, and automation of ML workflows across data ingestion, training, deployment, and monitoring
Build and maintain scalable data pipelines that support high-volume model training and evaluation
Partner with senior engineers to optimize system performance and reduce operational bottlenecks
Collaborate closely with Product, Engineering, and ML Research teams to deliver reliable, high-impact systems
Write clean, production-level Python code and participate in code reviews to maintain quality and consistency
Help improve monitoring and observability across ML pipelines to ensure reliability in production
Tech Stack
Languages/Frameworks: Python (primary), PyTorch Lightning
Cloud/Infra: AWS, Docker, Apache Airflow
Data: ClickHouse, S3, distributed data processing tools
Models: Deep Learning, LLMs, Hugging Face ecosystem
Who You Are
Strong Coder. You write clean, efficient, and scalable code in Python, with an advanced degree (or equivalent experience) in Computer Science, Engineering, or a related field
ML Systems Builder. You’ve designed or maintained ML pipelines, automation, or MLOps systems, and have a solid grasp of model training, deployment, and monitoring in production
Distributed Data Expert. You’re experienced with distributed data processing (e.g., PySpark) and understand how to scale workflows efficiently
Deep Learning Practitioner. You’ve worked hands-on with PyTorch (bonus for PyTorch Lightning) and bring curiosity about LLMs and the Hugging Face ecosystem
Collaborative Engineer. You communicate clearly, thrive in cross-functional environments, and take pride in building reliable, well-architected systems
In-Person Collaborator. You’re available to work onsite MTW in San Mateo, partnering closely with peers to accelerate progress
Bonus Points If You Have
Exposure to LLMs or the Hugging Face ecosystem
Familiarity with AWS, Docker, and Airflow
Experience managing data at scale (e.g., S3, ClickHouse, or similar)
Knowledge of low-latency model serving
Experience in AdTech or other real-time, high-performance systems
Location & Compensation
Location: Bellevue or San Mateo (hybrid: 3 days in-office, 2 days remote)
Compensation is based on experience, skills, and other factors. Base salary is just one part of your total rewards at Cognitiv—you’ll also receive equity and a comprehensive benefits package.
Highlights include:
Medical, dental & vision coverage (some plans 100% employer-paid)
12 weeks paid parental leave
Unlimited PTO + Work-From-Anywhere August
Career development with clear advancement paths
Equity for all employees
Hybrid work model & daily team lunch
Health & wellness stipend + cell phone reimbursement
401(k) with employer match
Parking (CA & WA offices) & pre-tax commuter benefits
Employee Assistance Program
Comprehensive onboarding (Cognitiv University)…and more!
Salary: $130,000-$180,000 Base Salary + Equity
Cognitiv is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace for all.
About the company
Cognitiv
Be vigilant about potential scams, phishing attempts, or fraudulent activities, and seek credible sources or reviews to assess the trustworthiness of the company. Remember, your personal and financial security is paramount, and taking preventive measures is crucial to safeguarding your information from potential risks and unauthorized use. SupportFinity is not responsible for any consequences that may arise from disclosing such information to unauthorized or fraudulent entities.
#J-18808-Ljbffr