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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.

Are you excited about getting in on the ground floor of a startup company poised to revolutionize small molecule drug discovery? At Kimia Therapeutics we are building a next generation drug discovery engine by combining high-throughput chemistry and screening with state-of-the-art computational approaches to accelerate the discovery of novel drugs. We are seeking passionate drug hunters to help build the future of drug discovery and create breakthroughs for  challenging targets implicated in cancer and immune disorders. At Kimia we look for collaborative teammates who are motivated by our mission and would like to play an impactful role in the growth and success of an emerging pharmaceutical company.

Summary

We are seeking an experienced leader and self-starter who is motivated to build state-of-the-art machine learning and data science capabilities to accelerate and automate our high-throughput SAR platform. As a scientific and technical leader, you will collaborate with experimentalists, computational chemists, and machine learning engineers to design and build scalable ML infrastructure to drive drug discovery.

Responsibilities

• Develop and evaluate SOTA ML algorithms for high-throughput drug discovery
• Integrate active learning approaches with our high-throughput SAR platform to design experiments that explore and exploit chemical space to discover best in class molecules
• Design and build production level data pipelines and infrastructure to automate data ingestion, model training, model selection and inference
• Collaborate with experimentalists to prospectively validate ML model improvements
• Evaluate the applicability of ML advances to Kimia’s high-throughput platform

• PhD in the field of machine learning, computer science with 5+ years of experience; or BS/MS in the field of machine learning, computer science with 10+ years of experience
• Strong track record of building scalable production level ML pipelines
• Expertise in Python and standard ML tools and packages (scikit-learn, Pytorch, Tensorflow)
• Familiarity with medicinal chemistry concepts and  cheminformatics toolkits (RDKit, OEChem, Chemaxon)
• Excellent communication and collaboration skills, and embrace collaborating with a multidisciplinary team

We offer a vibrant startup environment where every member of the Kimia team plays an important role in shaping our science and our culture. Kimia offers competitive pay, participation in our stock option plan, and comprehensive benefits. Kimia is proud to be equal opportunity employer and will consider all applicants for employment.

Full vaccination against COVID-19 is a condition of employment at Kimia. If you are unable to receive a COVID-19 vaccine due to a disability, or serious medical condition, or because it would violate your sincerely held religious belief, you will have an opportunity to request a reasonable accommodation.

Fill out the following form to let us know you'd be interested in working at Redwood Research. It's okay if you're not sure what kind of role you'd be interested in or if it might not be available right away. We'll review expressions of interest on a rolling basis and reach out if we think you might be a good fit. We're particularly excited to recieve expressions of interest from individuals who have managed orgs or large teams in the past.

We look forward to hearing from you!

Roles we have hired for previously

• Recruiting and MLAB Lead: Responsible for optimizing Redwood's recruiting strategy and processes along with engaging heavily in programs that discover and develop great candidates such as Constellation, the Machine Learning for Alignment Bootcamp (MLAB), and more. 
• Special Projects Lead: Assist with a variety of projects involving Redwood recruitment, community building, and internal systems optimization, and Constellation operations.
• Constellation Operations: Make Constellation a thriving, highly productive research center by working quickly, balancing competing priorities, building robust systems, and grappling with ambiguous problems.
• Business Operations: Ensure our corporate infrastructure (finance, HR, legal) is solid and evolving to support our rapid growth. 

We expect staff to work on-site. Our office is in downtown Berkeley, thirteen seconds from the nearest BART stop. Compensation depends on experience and role, but typically ranges from $100k - $170k/year. We offer catered lunches and dinners, and cover PPO health, dental, and vision insurance. We will consider international applicants who need visas.

About Us

Redwood Research is a research organization with the mission of aligning superhuman AI. In addition to our primary work of applied AI alignment research, Redwood hosts and operates Constellation, a shared office space we created to foster knowledge-sharing and collaboration between longtermist organizations. People from the following organizations often work from the space: Paul Christiano’s Alignment Research Center and Open Philanthropy.

Redwood Research is led by Nate Thomas (CEO), Buck Shlegeris (CTO), and Bill Zito (COO), and a board of Nate Thomas, Holden Karnofsky, and Paul Christiano.