About the Role

We're seeking a talented Machine Learning Engineer to join our AI Research team. In this role, you'll develop and implement advanced machine learning models that power our predictive analytics features, with a focus on natural language processing and time-series forecasting.

Responsibilities

Design, develop, and deploy machine learning models for our AI-powered project management platform
Research and implement state-of-the-art NLP techniques for text analysis and generation
Build predictive models for project timelines, resource allocation, and risk assessment
Collaborate with data engineers to develop data pipelines for model training and evaluation
Work with product and engineering teams to integrate ML models into our product
Continuously improve model accuracy and performance through experimentation and iteration

Requirements

MS or PhD in Computer Science, Machine Learning, or related field
3+ years of experience building and deploying machine learning models in production
Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn)
Experience with NLP techniques and libraries (NLTK, spaCy, Hugging Face Transformers)
Knowledge of time-series forecasting and predictive modeling
Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps practices
Strong mathematical background in statistics, probability, and linear algebra
Excellent problem-solving skills and attention to detail

Benefits

Competitive salary and equity package
Comprehensive health, dental, and vision insurance
Flexible work hours and remote work options
Generous PTO policy and paid parental leave
Professional development budget and conference attendance
Home office stipend
Regular team events and retreats