Machine Learning Engineer Intern
Company: Knewin
Location: Berkeley
Posted on: May 3, 2024
Job 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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Keywords: Knewin, Lincoln , Machine Learning Engineer Intern, Engineering , Berkeley, California
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