Senior Machine Learning Engineer at Cognitiv

Bellevue, Washington, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AdTech, AdvertisingIndustries

Requirements

Senior Engineer level – Delivered complex systems end-to-end and write strong, production-level Python
MLOps expertise – Skilled in ML automation, infrastructure at scale, and building robust pipelines
Deep learning practitioner – Hands-on with PyTorch (ideally PyTorch Lightning) and familiar with LLMs and the Hugging Face ecosystem
Cloud & infra fluent – Know AWS, Docker, and Airflow, and comfortable managing TB-scale data
Architect + builder – Think strategically about long-term system design while rolling up sleeves to code
Owner mindset – Take full responsibility for production codebases and drive them forward independently
Resilient & gritty – Thrive in ambiguity, manage competing priorities, and push through obstacles
Strong communicator – Collaborate effectively across technical and non-technical stakeholders, resolving conflicts productively
In-person collaborator – Want to work onsite MTW in Bellevue, WA
Tech Stack: Python (primary), PyTorch Lightning, AWS, Docker, Apache Airflow, ClickHouse, S3, distributed data processing tools, Deep Learning, LLMs, Hugging Face ecosystem

Responsibilities

Own the entire ML lifecycle—from data exploration and model development to deployment, monitoring, and continuous improvement
Build and maintain scalable data pipelines and infrastructure to support automated model training, evaluation, deployment, and lifecycle management
Redesign and optimize systems to handle scalability challenges and complex workflows
Collaborate cross-functionally with product, engineering, operations, and ML teams to drive alignment and impact
Take ownership of core codebases while mentoring and supporting junior engineers

Skills

Key technologies and capabilities for this role

Deep LearningMachine LearningData PipelinesModel TrainingModel DeploymentMonitoringML InfrastructureData IngestionScalability

Questions & Answers

Common questions about this position

What is the salary or compensation for this Senior Machine Learning Engineer role?

This information is not specified in the job description.

Is this Senior Machine Learning Engineer position remote or does it require office work?

This information is not specified in the job description.

What skills are required for the Senior Machine Learning Engineer role?

Required skills include strong production-level Python, MLOps expertise in ML automation and pipelines, hands-on experience with PyTorch (ideally PyTorch Lightning), familiarity with LLMs and Hugging Face, plus proficiency in AWS, Docker, Airflow, and managing TB-scale data.

What is the company culture like at Cognitiv?

Cognitiv fosters an innovative, trailblazing environment focused on redefining advertising with AI and deep learning, emphasizing collaboration across product, engineering, operations, and ML teams while mentoring junior engineers.

What makes a strong candidate for this Senior Machine Learning Engineer position?

Strong candidates are senior engineers who have delivered complex systems end-to-end, possess MLOps expertise, deep learning hands-on experience, cloud infrastructure fluency, and a strategic architect-builder mindset.

Cognitiv

AI-driven digital advertising optimization platform

About Cognitiv

Cognitiv.ai uses deep learning technology to improve digital advertising for businesses through its platform, NeuralMind™, which trains neural networks on client data. This technology enables companies to create custom algorithms for ad buying that enhance audience targeting and marketing effectiveness without requiring data scientists. Unlike its competitors, Cognitiv focuses on automating ad buying and providing actionable insights to help businesses identify new consumer segments. The company's goal is to help clients maximize their return on investment in digital advertising by leveraging their first-party data.

None, NoneHeadquarters

2015Year Founded

$3.2MTotal Funding

CONVERTIBLECompany Stage

Data & Analytics, Consumer Software, AI & Machine LearningIndustries

51-200Employees