Cognitiv

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 to join our Automation team. As a key member of Automation Team, you will help orchestrate the machine learning lifecycle within Cognitiv. Your role will involve creating efficient and robust systems to update training datasets, train and evaluate deep learning models, and deploy those models into production on behalf of our clients. The goal of the team is to maximize the efficiency of our Campaign Management team, thus enabling rapid experimentation and iterative refinement while maintaining operational excellence. The ideal candidate has an interdisciplinary spirit and a mastery of excellent software engineering and machine learning operations practices. We are looking for candidates who are excited about working in a fast-paced environment at a rapidly growing company and are ready to take on the challenge of building cutting edge deep learning applications. Join our team and grow with us in this important and collaborative role.

This position will be located in the Bellevue, WA office with a hybrid work schedule of 3 days in office (Mon/Tue/Wed) and 2 days remote (Thursday/Friday).

Responsibilities

• Assist with the design and implementation of machine learning pipelines for model training, deployment, and monitoring.
• Perform data manipulation and analysis to support automated model training and evaluation.
• Participate in code reviews and contribute to the development of reusable ML software components.
• Collaborate with data scientists and data engineers to understand model requirements and integrate with existing infrastructure.
• Implement monitoring and alerting systems to track model performance and identify potential issues.
• Document processes and procedures for future reference.
• Stay up to date with the latest advancements in machine learning operations, best practices, and technologies.

Requirements

• Bachelor’s Degree in a relevant field (e.g. Computer Science, Mathematics, Engineering)
• Understanding of core machine learning and deep learning concepts (e.g. linear/logistic regression, decision trees, neural networks)
• Experience within the big data ecosystems (e.g. Spark, Flink, Hive, Presto)
• 2+ years industry experience in engineering roles in machine learning and/or data science/analytics
• Proven track record of delivering quality products both individually and as part of a team
• Experience within the Python data science ecosystem (e.g. NumPy, SciPy, scikit-learn, Jupyter)
• Advanced proficiency in relevant programming languages (e.g. Python, Scala, C#)
• Cloud experience (e.g. AWS, Azure, GCP)
• SQL experience

Preferred Qualifications

• Master’s or Ph.D. in a relevant field (e.g. Computer Science, Mathematics, Engineering)
• Experience with one or more deep learning framework (e.g. PyTorch, TensorFlow, MXNet)
• NoSQL experience
• AWS Experience

Salary

• $100,000-$125,000 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 ad tech space for the last 7 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 are looking to affect change in a rapidly growing organization and industry to join the team.

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.