Machine Learning Engineer - Remote, Full Time


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Spreetail Inc.
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Spreetail is an ecommerce company that connects brands with customers wherever they love to shop online. We delight our customers every day by putting our technology, marketing, and supply chain to work for them behind the scenes. Born and raised in Lincoln, Nebraska, Spreetail has grown into offices and fulfillment centers in 8 cities across 6 states.
Spreetail's Software team, known internally as Toolkit, consists of Engineering, Product Management, and User Experience. This team builds a completely home-grown software to compete against top players in the ecommerce industry.  The software controls our business from beginning to end: ordering, marketing, inventory, customer service, and accounting. We use the latest and greatest libraries and development methodologies to build elegant solutions to complex, real-world problems.   

This role is 100% remote:

  • In order to qualify for remote work, candidates need to reside or be willing to move to Nebraska.

As a Machine Learning Engineer, you will:

  • Create machine learning analytical models and algorithms using performance monitoring and running tests and experiments as required.
  • Develop software that can be monitored, analyzed, and optimized for forecast delivery through tools, APIs, and dashboards.
  • Build out our adaptive learning capabilities and algorithms in conjunction with data scientists. 
  • Collaborate and maintain relationships with other engineers throughout Spreetail to continually deliver and improve our software solutions.
  • Break down complex models and deliverables into smaller components and tasks.
  • Increase the quality of new and existing software systems.
  • Uncover and deliver new data sources through API, Batch, and Scraping technologies.

Who you are:

  • A positive individual who shows optimism and someone others want to work with.
  • Open to giving feedback on individual skillsets, designs, and code to constantly improve yourself and our solutions.
  • Supportive, collaborative, and grow with everyone.
  • A continuous learner of machine learning, eCommerce, and data sources available to improve forecasting models.
  • Attentive to detail and focus on the quality of your designs, models, and software.
  • Hands-on with development projects and tooling that impact all software teams.
  • Collaborative with other engineers, delivery managers, product managers, and analysts on software development projects.
•Unit Appreciation Rights: Up to 5% of yearly salary; based upon company and team performance•Company Bonus: Up to 5% of yearly salary; based upon company and team performance•Health Insurance: Spreetail offers two plans:-Aetna PPO: Spreetail covers 100% of premiums for employees and 50% for your spouse and dependents included on the plan.-Aetna HDHP HSA Plan: Spreetail will contribute $500 to an HSA for an employee-only plan or $1000 for your spouse and dependents included on the plan.•Dental Insurance: Spreetail will pay half of the dental coverage for you/spouse/family plans• 401k: Spreetail partners with ForUsAll to provide the opportunity to invest in your future with pre-tax and post-tax plan options•Paid Time Off: untracked time off•Wedding Week: Enjoy an additional 5 paid days off before or after your wedding•Creating a Home: After 2 years of employment, Spreetail will give you $5,000 when you buy a home•Year 3 Vacation: After 3 years of employment, you will be eligible for an all-inclusive vacation•Year 5 Sabbatical: After 5 years of employment, you will be eligible for a 2-week paid sabbatical•Donation Matching: Spreetail will match your donation dollar for dollar, up to $250 ayear and up to $1,000 if you've been here for 5 years•Community Involvement: Spreetail encourages employees to take time off for volunteer opportunities throughout the year, including a semi-annual volunteer week in every community we serve•Product Discount: Enjoy a 20% discount on the products we sell

Equal Opportunity EmployerSpreetail is an equal opportunity employer that hires based on stellar qualifications, positive attitude, and exemplary work ethic rather than factors like age, gender identity, race, nationality, religion, or sexuality.
Job region(s): North America
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