About The Role:

Ready to embark on your next big adventure? Are you experienced with Large Language Models or Large Multimodal Models? Join us as a Data Scientist at Stackline where you will thrive in our dynamic, team-oriented atmosphere, contributing your skills to develop practical Machine Learning solutions. This role involves delving into vast data pipelines, analyzing over a billion data points each week, and collaborating closely with Data Engineers, Software Engineers, and the Product Management team. This hands-on analytical position requires not only your coding expertise, but also your dedication to architecting, developing, and testing innovative models that make a tangible difference. If you’re ready to make a meaningful impact, apply now to be part of our exciting journey! This is a hybrid role (4 days/week in office) and is based out of our Seattle, WA office.

What You Will Do:

• Develop, test, and deploy Large Language Models or Large Multimodal Models across multiple company products.
• Independently create innovative Machine Learning pipelines and collaborate with leadership and stakeholders to test and validate data outputs.
• Provide prompt and accurate responses to both internal and external inquiries about our datasets and models.
• Apply technical proficiency to process complex and intricate datasets, establish quality control procedures, and derive actionable insights.
• Utilize data effectively to extract insights and devise innovative strategies, offering actionable recommendations to stakeholders in data science, engineering, and product teams.
• Collaborate with cross-functional teams to identify new opportunities requiring the application of modern data science and Machine Learning techniques.
• Design and implement innovative models and experiments using cutting edge analytical, mathematical, and machine learning methods to drive growth in new company domains.
• Document data sources and processes for data analysis and modeling.

Who We Are Looking For:

• PhD in Mathematics, Physics, Computer Science, Engineering, or another technical field.
• 1+ years of direct industry work experience in one or more of the following areas: data science, data analytics or data engineering.
• 1+ years of experience with Machine Learning, statistics and probability, algorithm development, and data analytics.
• Hands on experience with Large Language Models (LLMs) or Large Multimodal Models (LMMs).
• Strong proficiency with programming and querying languages like Python and SQL.
• Experience deploying solutions at scale after prototyping.
• Demonstrated experience in Machine Learning tools such as Tensorflow, PyTorch, Spark ML, or related frameworks.
• Experience with distributed version control (e.g. git)..

Bonus Points If You Have:

• Prior experience with big data technologies such as Hadoop or Spark.
• Demonstrated experience designing and building new ideas, working closely with technical teams from concept generation through implementation.
• Experience working in a startup, retail, digital advertising, or e-commerce environment.
   

Benefits and Perks: 

It’s important that each and every employee feels they are supported and can complete their life’s best work today and in the future. As part of that, we are committed to doing our part in addressing pay gaps and discrepancies by providing pay transparency for all of our roles. Actual salaries are just one component of the compensation package and may vary above or below the range based on job-related knowledge, skills, experience, geographical location, and performance. Candidates will be assessed for either a Data Scientist I or Data Scientist II leveling. The pay range for a Data Scientist I is $130,000 - $160,000 per year. The pay range for a Data Scientist II is $160,000 - $190,000. Both pay ranges reflect the location of the role, based in Seattle, WA. Other rewards may include annual bonuses, short- and long-term incentives, and other team-specific awards. In addition we provide a robust benefits and perks package that includes:

• Comprehensive medical, dental, and vision coverage that actually supports you — including HSA with company match and FSA options
• Fertility benefits to support your path to parenthood
• 401(k) with company match to help you plan ahead
• Company-paid life insurance
• 20 days of PTO + 9 company holidays to truly unplug
• Paid parental leave for all parents — because family matters
• Summer Fridays (log off at 3pm and enjoy it)
• Regular in-office social events including happy hours and catered lunches
• A thoughtfully stocked kitchen with healthy snacks and fresh fruit