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    Machine Learning Engineer Intern - Berkeley, CA, United States - Cognitiv

    Cognitiv
    Cognitiv Berkeley, CA, United States

    3 weeks ago

    Default job background
    Description

    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 looking for a Machine Learning Engineer Intern to integrate into our high-performing Research Science group. This unique internship is designed for individuals eager to leverage their skills in crafting revolutionary deep learning solutions and refining our machine learning infrastructure. If you are passionate about propelling the technological boundaries in machine learning, crafting groundbreaking algorithms for multi-billion dollar markets, and thriving within a vibrant, forward-thinking atmosphere, your moment has arrived.

    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
    • Innovate and refine advanced deep learning architectures, enhancing our machine learning models' efficacy and innovation, directly contributing to our mission in advancing real-time bidding (RTB) algorithms.
    • Engage in proactive research on Large Language Models (LLM), applying insights to fortify our algorithms and elevate the precision of ad targeting and bidding strategies within the dynamic landscape of AdTech.
    • Develop, test, and deploy sophisticated machine learning tools and methodologies, establishing and following top-tier coding and engineering standards. Focus on creating robust training, deployment, and monitoring pipelines to solve intricate AdTech challenges, thus elevating model performance and scalability.
    • Collaborate and communicate effectively across diverse teams within the organization, translating complex ML concepts into actionable strategies.
    Requirements
    • Actively pursuing a Ph.D. in Computer Science or a related quantitative/engineering discipline.
    • Strong coding skills in Python..
    • Expertise in deep learning architectures (e.g., transformers), frameworks (e.g., PyTorch), and related libraries.
    • Knowledge of distributed computing, cloud platforms, and big data technologies.
    • Proficiency in software engineering principles, algorithms, and data structures.
    • Exceptional problem-solving capabilities and excellent communication skills, fostering effective teamwork.
    Preferred Qualifications
    • Prior involvement in Recommendation System Research, particularly those who have developed or explored recommendation algorithms.
    • Distinguished achievements in Computer Science or Mathematics Competitions, highlighting exceptional problem-solving skills.
    • Demonstrable Non-Academic Technical Experience, such as participation in hackathons, showcasing hands-on, innovative technical abilities outside traditional academic realms.
    • Strong C++ programming skills are a significant advantage.
    Salary
    • $30-$32 per hour

    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.

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