We are looking for a passionate Intermediate Machine Learning Developer who wants to make a difference in a fast-growing startup. We are a B2B SaaS company that provides an AI-powered software platform for eCommerce merchants to generate more demand for their products. We use the latest advancements in artificial intelligence and automation to drive profitable sales for our clients. Our software platform currently supports marketplaces like Amazon and Google Shopping. With over 8M sellers globally, this is an exciting opportunity to be a big part of building a powerhouse in the retail demand generation space.

At Trellis, you’ll have the opportunity to work in a fast-growing company and play an impactful role. As part of our team, you’ll be helping great companies sell their products on Amazon, Google, and all over the internet. This is a high-growth and impactful role that will give you tons of opportunities to drive decisions for projects from inception through production.

What You'll Get To Do

• Lead impactful features and projects from conception to completion, working with stakeholders to identify project risks and recommend mitigating solutions.
• Collaborate with our product team to build powerful and easy-to-use features and modules.
• Maintaining the system in general, on-call bug-fixing for mission-critical issues
• Own new features, craft technical specs
• Work with lots and lots of data
• Write lots of code in Python and React/JS

Our Tech Stack

• Web: HTML, JavaScript, CSS, React
• Backend: Python, Django, Postgres, Redis.
• Distributed Computing: Task Queues, Celery, RabbitMQ
• Infrastructure: AWS EC2, ECS, Docker, Terraform

What You Need

• 2+ years of experience in a machine learning role.
• Programming experience in Python.
• Advanced use of pandas and NumPy for data manipulation
• Familiarity with SciPy and statsmodels for curve fitting, regression, and statistical analysis
• Solid understanding of supervised and unsupervised learning techniques
• Experience with scikit-learn for model training, evaluation, and feature engineering
• Knowledge of model validation, overfitting/underfitting, and cross-validation
• Experience implementing and improving rule-based, heuristic, or statistical algorithms
• Comfort working with time series data (trend detection, seasonality, forecasting)
• An eagerness to learn new things and improve upon existing skills, abilities, and practices.
• Knowledge in an Agile software development environment,
• Experience with version control systems (Git, Subversion, etc..).
• Have a real passion for clean code and finding elegant solutions to problems.
• Eager to expand your knowledge and abilities in Python and cloud-based technologies.

Nice to Haves

• Experience with databases, SQL, or NoSQL.
• Experience with APIs, RES,T or GraphQL
• Experience building scalable workflows using task queues.
• Experience integrating with 3rd parties APIs
• Security and Authentication

Compensation

• Competitive Salary
• Stock options
• Comprehensive health benefits package.

The Trellis Team

At Trellis, we are passionate about delivering results and a positive user experience to our client brands. With that narrow goal, our driven team works to build out an ambitious product roadmap while seeking out and responding promptly to requests from our current clientele.

We are witnessing a generational shift in consumer behavior in e-commerce. By joining the Trellis team, you too can participate directly in enabling the market transition. If you have an analytical mindset with a willingness to learn and a passion for high-paced forward progress, then we want to hear from you!

Trellis is committed to providing equal opportunity to all applicants and employees. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, colour, religion or belief, national or ethnic origin, gender, age, disability, sexual orientation, gender identity and/or expression, marital or civil status, political affiliation, family or parental status, or any other status protected by the laws or regulations in the jurisdictions in which we operate.

These protections extend to all management practices and decisions, including recruitment and hiring practices, appraisal systems, promotions, demotions, transfers, compensation changes, training, career development programs, layoffs, and terminations.