Staff Machine Learning Research Scientist
Berkeley, CA
Science – Research /
Full-time /
Hybrid
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 Berkeley, CA with a hybrid work schedule of 3 days in office (Mon/Tue/Wed) and 2 days remote (Thursday/Friday).
Responsibilities
- Develop and implement cutting-edge deep learning architectures aimed at boosting the performance and innovation of AdTech solutions at Cognitiv.
- Stay at the forefront of Large Language Model (LLM) research, applying new findings to enhance ad targeting, real-time bidding (RTB) efficiency, and audience relevance in our machine learning models and algorithms.
- Lead the development and refinement of advanced Machine Learning tools and methodologies at Cognitiv, adhering to and setting best practices in coding and engineering. Focus on designing and implementing sophisticated training, deployment, and monitoring pipelines to address complex challenges within the AdTech framework, thereby improving the efficiency and scalability of models.
- Influence technical decision-making and research prioritization within Cognitiv, effectively communicating complex concepts and delivering persuasive, data-driven presentations. Manage multiple research initiatives, coordinating with diverse internal and external teams.
- Drive strategic decision-making and lead significant segments of the AdTech Research roadmap, guiding high-impact ML projects. Mentor and develop top talent within the research team, fostering a culture of excellence and continuous learning, while understanding and communicating the trade-offs between technical rigor and strategic market impact.
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.
- Exhibit expertise in a wide array of machine learning techniques (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.
Preferred Qualifications
- Prior experience in AdTech and RTB systems.
- Strong C++ programming skills are a significant advantage.
Salary
- $230,000-$260,000 Base Salary + Equity
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.
