Machine Learning Research Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Dianthus is a trailblazer in e-commerce. We acquire Shopify businesses and grow them with our custom AI powered solutions. We are a fast-growing startup, so you have the opportunity to surround yourself with a passionate team and get in on the ground floor. There is also a tremendous opportunity for career growth, not just because we are moving so rapidly but because no matter what role you are in, at Dianthus you will be solving interesting problems about how to make every workflow more AI-focused!

We are hiring ML Research Engineers to join our world-class AI research team. As a member of this high-performing team, your work covers the entire lifecycle from literature research, reproducing and modifying existing implementations, creating new models, ingesting, cleaning, making sense of data and applying transforms, distributed model training, carrying out rich validation strategies, up through packaging the models in formats that are suitable for the production environment.

Responsibilities

• Modify, optimize and scale our existing Data Science products and solutions.
• Develop and implement new methodologies, algorithms, and models to improve how we leverage our data.
• Extract and manipulate data from existing data sources (including analysis and reporting).
• Lead the identification and development of new data sources.
• Work collaboratively with team members across the company (engineering, product, etc.) to translate your findings into solutions.
• Communicate data-driven recommendations concisely and understandably.

Qualifications and Skills

• Have a strong foundation in Computer Science with competencies in data structures, algorithms, and software design.
• Solid Expertise in Python, C++, or Java.
• Demonstrable experience with Machine Learning and Natural Language Processing
• Experience with deep learning toolkits such as TensorFlow, PyTorch, etc.
• Experience with cloud-based development environments such as Google, AWS, etc. 
• Comprehensive knowledge of predictive analytics, statistical modeling, and data mining 
• Problem-solving skills. Hands-on, can-do attitude.
• Team player with the ability to work in a close-knit, fast-paced startup environment.

Benefits and Perks

• Comprehensive compensation and benefits package
• 401K
• Work-from-home flexibility
• 5 weeks vacation plus paid holidays
• Monthly childcare stipend for preschool aged children

At Dianthus we are committed to building a diverse team, so we are proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.