Senior Machine Learning Engineer

Key Skills

Amazon Athena, Amazon RedShift, AWS, CDC, CircleCI, Continuous Integration & Continuous Delivery - CI/CD, Data pipelines, Deep Learning, Github, Kedro, MLflow, Postgres, SaMD, Snowflake, SQL, Workfusion

Job Description

At Jungle Scout, we are on a mission to empower entrepreneurs and brands to grow successful e-commerce businesses, and we provide the industry-leading data, powerful tools, and resources they need.

Senior Machine Learning Engineer

At Jungle Scout, we are on a mission to empower entrepreneurs and brands to grow successful e-commerce businesses, and we provide the industry-leading data, powerful tools, and resources they need.

We’re growing and we are looking to add a Senior Machine Learning Engineer to our fast-paced and customer-oriented Engineering team.

Location: We’re a remote-first company and looking to hire this person in Canada between the PST - EST timezone (excluding Quebec).

Interested in learning more? Let’s get into the details:

In the Senior Machine Learning Engineer role, you will:

• Develop and maintain algorithms, data pipelines, automated processes, and services to create a data science solution that are customer focused
• Innovate and bring creative ideas to building mission critical customer facing products that depend on ML solutions
• Work with product and business teams to identify solutions and best practices
• Create scalable data solutions that drive business decisions and enable our customers’ success
• Design and develop processes and systems which analyze and generate actionable insights from diverse data sources
• Develop tools to monitor models for evolving performance and accuracy
• Mentor team members in the areas of technical expertise and career building
• Contribute to best practices around feature extraction, model development, and knowledge sharing among multiple data science teams
• Directly contribute to architecture planning

Who you are:

Experienced Machine Learning Engineer. This isn't your first rodeo! You have been working in the industry as an ML Engineer for 4+ years gaining experience using Python, SQL, MLFlow, and Sagemaker in your working environment.

You have strong programming skills in Python and optimizing the performance of Python projects

You have a strong command of SQL and working with multiple relational databases and data warehouses (Redshift, Postgres, Athena, Snowflake, etc…)

You have experience in end-to-end machine learning project life cycle (MLOps) and MLOps Platforms (preferably AWS Sagemaker and/or MLFlow)

Technical Chops. You have…

• Proven ability to architect data science solutions to complex problems and delivering solutions in customer facing products
• Experience delivering solutions that analyzes big datasets using tools such as Apache Spark in production
• Experience at least in one of the infrastructure as code technologies (CDK, SAM, etc.)
• Experience working with unstructured data
• Experience in setting up CI/CD/CT pipelines (e.g. CircleCI, AWS CodeBuild, Github workflow)
• Experience deploying deep learning models
• Experience with frameworks for in-production ML code (e.g. Kedro, MLFlow)
• Experience with data + model versioning solutions
• Customer Focus: Putting our customers first is at the core of everything we do. You understand the importance of delivering exceptional experiences to our users, and your dedication to meeting their needs and surpassing their expectations drives our commitment to excellence.
• Multiplier: You empower others through opportunities that increase visibility, responsibility, and decision-making. Your excellent coaching and mentoring skills encourage open guidance and feedback. You prioritize continuous self-improvement, and instill the same value in your team through coaching, clear communication, transparency, and responsiveness to feedback.

What you’ll get:

• The BEST team. You’ll work alongside the smartest, most passionate, and kindest humans day in and day out making work fun.

• Remote-first culture. Jungle Scout has been remote-first since day one. We believe team members should work from the place where they do their best work. Whether that's working from home, in office at one of our hubs, a co-working space.

• A growth culture! We have tons of opportunities for you to elevate your skills and take you to that next step; we are here to help you find the ones that matter most to you through exposure and training.

• Ability to make impact! Although it’s a highly collaborative culture, team members are empowered to work autonomously and take extreme ownership of their work. You'll have the opportunity to truly make a difference and impact our customers.

• Competitive compensation packages! We structure our compensation packages to reward our team members' contributions to our company's success - you’ll have a bonus tied to performance and will be invested into our long-term success with Equity.

• Flexible PTO. With our generous paid time off and recognition of local holidays, escape to the beach, recharge mentally, or give back through volunteering.

• Comprehensive Health Benefits & Retirement Program. We offer comprehensive healthcare and retirement matching plans for eligible employees.

About Jungle Scout

Jungle Scout is the leading all-in-one platform for selling on Amazon, supporting more than $50 billion in annual Amazon revenue and 10 global Amazon marketplaces. Founded in 2015 as the first Amazon product research tool, Jungle Scout today features a full suite of best-in-class business management solutions and powerful market intelligence resources to help entrepreneurs and brands manage their e-commerce businesses.

The Jungle Scout team is a group of smart, motivated, and fun-loving professionals working hard to help our customers achieve success. We have a remote-first culture with employees across the world as well as in our hub offices in Austin, TX and Vancouver, BC. We believe team members should have the opportunity to choose the work environment that works best for them, so we give our team members the option of working from home, at one of our hub offices, or from a co-working space.

We prioritize Diversity, Equity, and Inclusion

At Jungle Scout, we hire great people from a wide variety of backgrounds, not just because it’s the right thing to do, but because it makes our company stronger.

Jungle Scout is committed to creating a diverse environment and is proud to be an equal opportunity employer. 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.

All offers of employment at Jungle Scout are contingent upon clear results of a comprehensive background check. Background checks will be conducted on all final candidates prior to start date.