Job Description
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 Jose, 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
- Equity grants
- 100% medical, dental, & vision coverage for you
- Medical, dental, & vision partially covered for your dependents
- Unlimited PTO
- Social events ranging from book clubs, happy hours, and hiking to board game nights and games of Mario Kart.
Further, you can expect a supportive work environment from us. We build products, but we develop people.
Company Info.
Coactive Systems Inc.
At Coactive AI, we are empowering data practitioners and data-driven teams to unlock insights in unstructured image and video data. This visual data increasingly captures everyday life from our online experiences on e-commerce sites and social media to guiding the cars we drive and monitoring the plants we eat. By 2021, unstructured visual data will be more than 82% of all internet traffic. We make this unstructured visual data useful by bringing