Applied Machine Learning Research Scientist

SuprAIJobs; San Francisco (CA); Hybrid; USD 190,000 - 250,000; Full time

Benefits offered by this job

Medical, dental & vision

401K

Unlimited PTO

Team events

Job summary

Coactive AI in San Francisco is hiring an Applied Machine Learning Research Scientist to advance state-of-the-art ML methods and deploy them with cross-functional teams.

You will collaborate with top ML and data systems experts, lead experiments, and mentor peers while shaping AI-driven products. A PhD and startup/research experience are essential for this role.

Qualifications

• PhD in Computer Science with a specialization in Machine Learning.
• Minimum of 2 years in a startup or research lab environment.
• Publications in reputable conferences or journals.

Responsibilities

• Conduct in-depth ML research to identify differentiators and opportunities.
• Mentor and share ML expertise across teams to raise capabilities.
• Collaborate with clients and stakeholders to tailor ML solutions.
• Lead ideation and experimentation to push Core technologies forward.
• Build ML models and deploy them in production with software engineers.
• Run A/B experiments and perform statistical analyses.
• Present findings to senior leadership and at top scientific venues.

Skills

Python

PyTorch

Spark

NumPy

SciPy

Scikit-Learn

VectorDB

Education

PhD in Computer Science (ML)

Job description

Applied Machine Learning Research Scientist

Coactive AI

• USD 190K-250K
• Full time
• San Francisco, California, United States
• Hybrid

Job Description

Coactive makes it easy to search, filter, and analyze visual content. Increasingly image and video data captures the content we watch, the products we buy, and the work we do, and already represents 80% of internet traffic. But rather than being an asset, visual content is often a tax or even a liability because it is so hard to work with and understand. Coactive solves this by bringing structure to unstructured visual data. Rather than spending months (or years) building complex infrastructure, data teams can unlock the value of their visual data in minutes to power use cases such as content understanding and moderation, search, and analytics. Coactive was founded by experts who shaped the fields of high-performance deep learning and data-centric AI. We have the scars from building and working with the first generation of modern machine learning systems at Google, Meta, Pinterest, eBay, Lyft, and other leading organizations. Through our decades of experience, we have developed a playbook to democratize the toughest parts of machine learning systems; no PhD required. This is an exceptional opportunity to work with one of Forbes' top 50 AI companies, backed by key investors such as Andreesen Horowitz and Bessemer Ventures. This position is truly a chance to be part of a category-defining team that is attracting top-tier talent interested in pushing the boundaries of what's possible in AI. We’re seeking an Applied Machine Learning Research Scientist to collaborate closely with our top-tier machine learning and data systems experts, driving innovation and creating the foundation for groundbreaking machine learning products. Coactive is a pioneering force in the machine learning landscape, and as an Applied Machine Learning Research Scientist, you’ll play a pivotal role in shaping the future of AI-driven solutions.

What You’ll Do

• Conduct in-depth market research to identify potential technological differentiators within the machine learning domain.
• Cultivate a culture of continuous learning and knowledge-sharing within the organization, fostering machine learning expertise and intuition.
• Serve as a key resource for cross-functional teams, providing expert insights and guidance on machine learning-related inquiries.
• Mentor and support fellow machine learning team members, promoting collaboration and skill development.
• Collaborate with clients and stakeholders to understand their challenges and co-create tailored machine learning solutions.
• Lead ideation and experimentation efforts to innovate and develop cutting-edge technologies for enhancing Coactive’s products.
• Build Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production, working closely with software engineers to assist in productionizing your ML models.
• Perform hands‑on analysis and modeling of enormous data sets to develop insights.
• Run A/B experiments, gather data, and perform statistical analysis.
• Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation, and serving.
• Present findings and insights to senior leadership and at internal and external top scientific venues.

What We Look For

• PhD in Computer Science with a specialization in Machine Learning, showcasing expertise in cutting‑edge research and methodologies.
• Minimum of 2 years of experience in a similar role within a startup or research lab environment, demonstrating the ability to translate research into practical applications.
• Proven track record in machine learning, evidenced by publications in reputable conferences or journals.
• Strong proficiency in developing applications and algorithms based on the latest advancements in machine learning research.
• Familiarity with vector databases, leveraging their capabilities to enhance machine learning algorithms and applications.
• Hands‑on experience with the following programming languages: Python, Pytorch, Spark, Numpy, Scipy, Scikit‑Learn, VectorDB.

What You Can Expect From Us

This is a hybrid position based in San Francisco, California.

The estimated annual base salary for this position is between $190,000-$250,000.*

At Coactive, cash salary is only one part of our total compensation package. Other benefits for this position include, but are not limited to:

• 100% medical, dental & vision coverage for you
• Medical, dental & vision partially covered for your dependents
• 401K
• Unlimited PTO
• A supportive environment. We build products, but we develop people.
• Social events ranging from happy hours and hiking to board game nights and games of Mario Kart.

Actual pay is dependent on an individual candidate’s professional background, experience, skills and qualifications, as well as market demand and business demands. This pay range is subject to change and may be modified in the future. The salary, other compensation, and benefits information is accurate as of the date of this posting.

We embrace and celebrate the diversity of our employees. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.