The RoleWe're seeking a Senior Machine Learning Engineer to help orchestrate and scale the entire ML lifecycle at Cognitiv. As we transition from a legacy platform to a modern, automated, and highly scalable system, this role will be central in shaping the next generation of our ML infrastructure.You'll own automation across data ingestion, model training, deployment, and monitoring, enabling rapid experimentation and iterative refinement while maintaining operational excellence. This is a high-impact opportunity to reduce bottlenecks, streamline workflows, and drive architectural improvements that power a wide variety of models critical to Cognitiv's growth.What You'll DoOwn 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.Tech StackLanguages/Frameworks: Python (primary), PyTorch LightningCloud/Infra: AWS, Docker, Apache AirflowData: ClickHouse, S3, distributed data processing toolsModels: Deep Learning, LLMs, Hugging Face ecosystemWho You AreSenior Engineer - You have delivered complex systems end-to-end and write production-level Python.MLOps expertise - You are skilled in ML automation, infrastructure at scale, and building robust pipelines.Deep learning practitioner - You are hands-on with PyTorch (ideally PyTorch Lightning) and familiar with LLMs and the Hugging Face ecosystem.Cloud & infra fluent - You know AWS, Docker, and Airflow, and you are comfortable managing TB-scale data.Architect + builder - You think strategically about long-term system design while still rolling up your sleeves to code.Owner mindset - You take full responsibility for production codebases and drive them forward independently.Resilient & gritty - You thrive in ambiguity, manage competing priorities, and push through obstacles.Strong communicator - You collaborate effectively across technical and non-technical stakeholders, resolving conflicts productively.In-person collaborator - You want to work onsite MTW in Bellevue, WA.Bonus Points If You HaveStartup or AdTech experience.Experience with ClickHouse or other high-performance analytical databases.Familiarity with PySpark or distributed processing.Low-latency model serving experience.Advanced degree (MS/PhD) in a relevant field.Strong C++ programming background.What You'll Find at CognitivFestiv - We make work fun with cross-team games, events, and creative team bonding.Responsiv - You'll be close to clients and leadership, influencing real outcomes.Inclusiv - Diversity and individuality are celebrated across all levels.Inventiv - We reward curiosity and embrace bold ideas.Transformativ - We support your growth with training, mentorship, and flexibility.Collaborativ - We operate across coasts, connected by purpose and teamwork.Location & CompensationLocation: Bellevue or San Mateo (hybrid: 3 days in-office, 2 days remote)Salary: $200,000-$230,000 Base Salary + EquityCompensation 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.Medical, dental & vision coverage (some plans 100% employer-paid)12 weeks paid parental leaveUnlimited PTO + Work-From-Anywhere AugustCareer development with clear advancement pathsEquity for all employeesHybrid work model & daily team lunchHealth & wellness stipend + cell phone reimbursement401(k) with employer matchParking (CA & WA offices) & pre-tax commuter benefitsEmployee Assistance ProgramComprehensive onboarding (Cognitiv University)…and more!ClosingCognitiv is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace for all.