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Full-Time

Senior Machine Learning Engineer

Science

Confirmed live in the last 24 hours

Cognitiv

Cognitiv

51-200 employees

AI-driven digital advertising optimization platform

AI & Machine Learning

Compensation Overview

$200k - $230kAnnually

+ Equity

Senior, Expert

San Mateo, CA, USA

Category
Deep Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Python
Data Structures & Algorithms
Pytorch
Docker
Requirements
  • Master's or Ph.D. in Computer Science, Statistics, Electrical Engineering, or a related field.
  • 5+ years of industry-level Python programming experience.
  • Expertise in deep learning architectures (e.g., transformers), frameworks (e.g., PyTorch), and related libraries.
  • Experience with Large Language Models and Hugging Face's Transformers library.
  • Knowledge of distributed computing, cloud platforms, big data technologies, and Docker.
  • Proficiency in software engineering principles, algorithms, and data structures.
  • Excellent written and verbal communication, organizational, and negotiation skills.
Responsibilities
  • Develop and implement cutting-edge deep learning architectures aimed at boosting the performance and innovation of AdTech solutions at Cognitiv.
  • Design and optimize distributed deep neural network (DNN) training systems, automating workflows and enhancing model scalability.
  • Oversee model deployment, serialization, and the development of efficient infrastructure to support DNN and Large Language Models (LLMs) in production environments.
  • Conduct LLM infrastructure assessments and research to identify areas for improvement and innovation.
  • Set coding standards and best practices, leading the adoption of advanced engineering methodologies within the team.
  • Drive strategic decision-making and lead significant segments of the AdTech research roadmap, guiding high-impact ML projects, while influencing technical decision-making and research prioritization through effective communication and data-driven presentations.
  • Mentor and develop top talent within the research team, fostering a culture of excellence and continuous learning, and balancing technical rigor with strategic market impact.

Cognitiv.ai specializes in using deep learning technology to enhance digital advertising for businesses. Its main product, NeuralMind™, utilizes a client's data to train neural networks, which are designed to recognize patterns and make decisions similar to the human brain. This allows companies to create tailored ad buying algorithms that improve audience targeting, ad placement, and timing, ultimately leading to better marketing results without needing data scientists. Cognitiv.ai differentiates itself from competitors by focusing on providing actionable insights and identifying new consumer clusters, helping clients maximize their return on investment (ROI) in advertising. The company's goal is to empower businesses, particularly those in sectors like automotive, to leverage their first-party data for more effective marketing strategies.

Company Stage

Pre-seed

Total Funding

$5M

Headquarters

null, null

Founded

2015

Growth & Insights
Headcount

6 month growth

19%

1 year growth

34%

2 year growth

74%
Simplify Jobs

Simplify's Take

What believers are saying

  • Cognitiv.ai's exclusive partnership with Adform to offer ContextGPT™ in Europe expands its market reach and enhances its service offerings.
  • The company's rapid client base growth, increasing 7.5 times, demonstrates strong market demand and the effectiveness of its deep learning solutions.
  • Recognition through multiple industry awards underscores Cognitiv.ai's innovative technology and leadership in the digital advertising sector.

What critics are saying

  • The highly competitive digital advertising market requires continuous innovation to maintain a competitive edge.
  • Dependence on partnerships, such as with Adform, could pose risks if these relationships falter or if partners develop competing solutions.

What makes Cognitiv unique

  • Cognitiv.ai leverages deep learning technology to create custom ad buying algorithms, setting it apart from competitors who rely on more traditional methods.
  • Their NeuralMind™ platform allows businesses to train neural networks using their own data, providing highly tailored and effective marketing solutions.
  • The company's focus on automating ad buying and optimizing audience targeting without the need for data scientists offers a unique value proposition in the digital advertising space.