Applied Machine Learning Research Scientist at Coactive AI

Coactive AI logo
Coactive AI

Applied Machine Learning Research Scientist

us flag
United States

190k - 250k USD

Hybrid

Full Time

#Engineering

#Machine Learning

#Data Analysis

#Python

#PyTorch

#Spark

#NumPy

#Scipy

#scikit learn

#Data Modeling

#Statistical Analysis

Coactive AI is looking for a Applied Machine Learning Research Scientist

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At Coactive, we are transforming how the world interacts with visual data by bringing structure to the massive amount of unstructured images and video on the internet. As a Forbes AI 50 company backed by investors like Andreesen Horowitz and Bessemer Venture Partners, we are looking for an Applied Machine Learning Research Scientist to join our team in a hybrid capacity. You will work alongside experts who have shaped modern machine learning at organizations like Google, Meta, and Lyft to build the next generation of AI-driven solutions.

Responsibilities

  • Lead experimentation and ideation to develop innovative technologies that enhance our core products.
  • Build, optimize, and deploy machine learning models into production environments while collaborating closely with software engineers.
  • Conduct hands-on analysis and modeling of massive datasets to extract actionable insights.
  • Design and execute A/B experiments, collect data, and perform rigorous statistical analysis.
  • Create scalable, automated processes for model development, validation, and serving.
  • Mentor team members and serve as a technical resource for cross-functional groups.
  • Collaborate with clients to understand their specific challenges and co-create tailored machine learning solutions.
  • Present your findings to leadership and at prominent scientific venues.
  • Stay active in market research to identify new technological differentiators for our platform.

Must-haves

  • A PhD in Computer Science with a specialization in Machine Learning.
  • At least 2 years of experience in a research lab or startup environment, with a proven ability to turn research into practical applications.
  • A strong track record of machine learning contributions, including publications in reputable journals or conferences.
  • Deep proficiency in Python, PyTorch, Spark, NumPy, SciPy, and scikit-learn.
  • Experience working with vector databases to enhance machine learning algorithms.
  • Fluency in English.

Benefits

The annual base salary for this role is $190,000 to $250,000. We also offer a comprehensive benefits package, including:

  • Full medical, dental, and vision coverage for you, with partial coverage for dependents.
  • 401k retirement planning.
  • Unlimited PTO.
  • A hybrid work environment based in the United States.
  • A culture focused on professional development and regular social engagement, such as team outings and game nights.
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