Cognitiv Careers

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.

Come join Cognitiv as a Software Engineer I, .NET and be a part of our fast-growing company on the cutting edge of artificial intelligence! We are looking for a talented, highly motivated software engineer with proficiency in C# programming. This engineer will play a key role in the development of our proprietary deep learning platform. Together with Cognitiv’s team of engineers and data scientists, you will help build the next generation of tools to train and execute artificial neural networks at scale to solve complex big data problems.

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).

Core Responsibilities

• Work with existing software engineering team to develop new modules and maintain/optimize existing modules
• Implement back-end services using C# and Postgres
• Build web APIs for consumption by internal tools and external partners
• Develop automated testing and benchmarking routines

• BS in Computer Science or related field
• 1+ years of experience with C# (entry level candidates encouraged to apply)
• Familiarity with SQL and relational databases
• Full understanding of software fundamentals
• Strong written and oral communication skills; ability to effectively articulate technical challenges and solutions
• Used to being held to high expectations
• Thrives in high intensity, high reward environments

• Experience using AWS EC2, S3, and Athena
• Experience with SQL databases such as Postgres

• $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.

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.

The Director of Machine Learning Research will be based in Berkeley, CA and will lead a team of research scientists working on developing techniques for modeling complex sequential behavioral datasets using methods such as recurrent networks, transformers, and reinforcement learning. The Director will be responsible for overseeing the complete modeling lifecycle, including problem framing, dataset construction, objective function and architecture definition, model training, visualization, and results analysis.

The position will have a hybrid work schedule of 3 days in the office (Mon/Tue/Wed) and 2 days remote (Thursday/Friday) and is the same across all business units/office locations.

Core Responsibilities

• Lead and manage a team of research scientists to achieve team objectives and individual career goals.
• Grow the team by interviewing and hiring new talent as required.
• Define, prioritize, and execute Cognitiv’s research roadmap based on input from stakeholders, including Applied Science, Engineering, and Client Success
• Oversee the complete modeling lifecycle including (but not limited to) framing the problem, constructing the dataset, defining the objective function and architectures, training the model, visualizing, and analyzing results.
• Present results both internally and externally through clear and compelling presentations and summaries.
• Keep up-to-date with academic and industry machine learning literature related to Cognitiv's products, particularly large language models, foundation models, and sequential modeling.

• PhD related to Machine Learning with 5+ years industry experience
• Experience leading ML-related Research & Development team in an industry setting.
• Extensive experience modeling complex problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward.
• Experience working with large datasets in a cloud environment (e.g. AWS)
• Exceptional written and verbal communication and organizational skills.
• Research and software engineer experience demonstrated via grants, fellowships, patents, internship, work experience, papers and/or coding competitions.
• Desire to work at a fast-paced start-up.

• Expert in Python programming
• Expert in SQL programming
• Expert in PyTorch
• Expert in applying scientific method and designing experiments
• 5+ years experience working in AdTech data
• Experience with training and/or fine-tuning large Transformer models.
• Experience with natural language modeling and/or sequential datasets

• $220,000-$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 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.

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 Senior Machine Learning Engineer to join our Features team.  As a part of the team, you will build the next generation of features for our data science teams to use to include in their models to optimize our campaigns.

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

Core Responsibilities

• Design, prototype, and demonstrate value of new features for use in models.
• Build engineering systems/pipelines/etc to generate/update features in production with SLA.

• 4+ years experience as a Machine Learning Engineer (or similar role).
• Expert proficiency in relevant programming languages (e.g. Python, Scala, Java).
• Expert proficiency in SQL.
• Expert experience with big data (terabyte-scale or larger)
• Experience with orchestration frameworks (e.g. Airflow).
• Experience within the Python Data Science ecosystem - NumPy, SciPy, scikit-learn, Jupyter, etc.
• Cloud experience (AWS, Azure, GCE).

• Experience with one or more Deep Learning frameworks (e.g. pytorch).
• Experience using machine learning to create embeddings from raw data.
• Experience maintaining always-on services.

• $160,000-$200,000 base + 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.