Senior Software Engineer, MLOps & Identity

Bellevue, Washington, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Advertising Technology, Artificial Intelligence, Data ScienceIndustries

Requirements

Candidates should possess a Bachelor’s degree in Computer Science, Software Engineering, or a related field, and have at least 7 years of experience in software engineering, with a strong focus on machine learning operations (MLOps). Experience with identity management systems and cloud platforms such as AWS or Azure is highly desirable. A deep understanding of deep learning frameworks like TensorFlow or PyTorch is essential, along with proficiency in Python and experience with containerization technologies like Docker and Kubernetes.

Responsibilities

As a Senior Software Engineer, MLOps & Identity, you will be responsible for designing, developing, and deploying machine learning models into production environments. You will collaborate with data scientists to streamline the model development lifecycle, ensuring scalability, reliability, and security. Additionally, you will contribute to the design and implementation of identity management solutions, integrating them with our advertising platform, and monitoring system performance to optimize efficiency and accuracy.

Skills

Deep Learning

Data Science

MLOps

AI-driven advertising

DSP integration

ContextGPT

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

Benefits

Health Insurance

Paid Parental Leave

Unlimited Paid Time Off

Hybrid Work Options

401(k) Retirement Plan

401(k) Company Match

Health and Wellness Stipend

Phone/Internet Stipend

Employee Assistance Program

Risks

Integration with Index Exchange may face interoperability challenges across platforms.

Exclusive partnership with Adform could encounter regulatory hurdles in Europe.

Rapid client base growth may strain operational capacity and customer support.

Differentiation

Cognitiv offers industry-specific Deep Neural Network products for Big Data decisions.

Their NeuralMind™ platform creates custom ad buying algorithms for optimized marketing.

Cognitiv's ContextGPT product enhances programmatic curation with generative AI integration.

Upsides

Partnership with Adform expands AI-driven contextual targeting in Europe.

Deep Learning Advertising Platform positions Cognitiv as a media buying pioneer.

Collaboration with Manual Labor Studio showcases visually engaging advertising solutions.

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