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Full-Time

Senior Machine Learning Research Scientist

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
AI Research
AI & Machine Learning
Lab & Research
Required Skills
Python
Communications
Data Structures & Algorithms
Pytorch
Requirements
  • Master's or Ph.D. in Computer Science, Statistics, Electrical Engineering, or a related field.
  • 5+ years of Python programming experience.
  • Expertise in deep learning architectures (e.g., transformers), frameworks (e.g., PyTorch), and related libraries.
  • Understanding of traditional machine learning algorithms (e.g., xgboost, PCA).
  • Experience with Large Language Models.
  • Knowledge of distributed computing, cloud platforms, and big data technologies.
  • Proficiency in software engineering principles, algorithms, and data structures.
  • Excellent written and verbal communication, organizational, and negotiation skills.
Responsibilities
  • Design and implement cutting-edge deep learning architectures to drive innovation and performance improvements in our adtech solutions.
  • Stay ahead of the latest LLM research and integrate findings into Cognitiv's adtech solutions.
  • Collaborate with operations and engineering teams to refine data pipelines, model deployment, and monitoring systems.
  • Continuously enhance machine learning models and algorithms for improved ad targeting, real-time bidding efficacy, and audience relevance.

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

14%

1 year growth

34%

2 year growth

74%
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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.