Staff Machine Learning Research Scientist

Cognitiv in San Mateo, CA

$240,000 - $270,000

Cognitiv leverages deep learning artificial intelligence to build custom algorithms that more accurately and efficiently predict consumer purchase behavior. Each marketer has a unique set of goals, which is why Cognitiv created NeuralMind, a deep learning platform capable of automatically building custom algorithms that simultaneously consider the user, the context, the message, and the campaign objectives. We combine deterministic data and advanced processing techniques to continuously train these algorithms as they optimize our clients’ key performance indicators (KPIs), predicting consumer behavior in order to autonomously drive full-funnel marketing performance at scale.

We are seeking a Staff Machine Learning Research Scientist with specialized expertise in advanced deep learning architectures, feature enhancement, and Large Language Model (LLM) exploration. Join our seasoned adtech research science team and play a pivotal role in advancing the landscape of real-time bidding (RTB) algorithms and embedding LLM technology in adtech. Your role involves leading the development and optimization of robust, end-to-end training pipelines, significantly advancing our algorithmic approaches. This position is perfect for a deep learning enthusiast eager to leverage innovative technologies, revolutionize feature capabilities and model architectures, and tap into the potential of LLMs to reshape the adtech industry. If you are passionate about thriving in a fast-paced environment and eager to tackle complex challenges in adtech, we welcome you to our team of experts in this transformative role.
This position will be located in San Mateo, CA with a hybrid work schedule of 3 days in office (Mon/Tue/Wed) and 2 days remote (Thursday/Friday).
Actual compensation is based on multiple factors that are unique to each candidate, including and not limited to job-related knowledge, level of relevant experience, education and skills. Base salary is just one component of your total rewards package at Cognitiv. Employees are eligible for equity and various benefits.

Here are some of the many benefits that our employees receive:

• Medical, Dental and Vision coverage, including some plans that are 100% employer paid
• 12 weeks paid parental leave
• Unlimited PTO
• Hybrid work model
• Lunch reimbursement
• Fitness reimbursement
• Cell phone reimbursement
• 401(k) plan
• Employee Assistance Program
• Pre-tax commuter benefits

Cognitiv has been revolutionizing the programmatic/ad tech space for the last 8 years as the only programmatic buying platform to leverage Deep Learning in real-time. We use Deep Learning (the most sophisticated machine learning) to build custom algorithms for digital marketers to help grow their customer base. We have seen explosive growth and are looking for talented people who have a passion to learn about AI and are looking to affect change in a rapidly growing organization . You will be a valued member in a company with great culture and generous benefits.

Cognitiv is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
    • 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.
    • 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.
    • Prior experience in AdTech and RTB systems.
    • Strong C++ programming skills are a significant advantage
    • $240,000-$270,000 Base Salary + Equity
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