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Machine Learning Scientist

AdaOnsite

About Us


Ada is an AI customer experience platform that harnesses the world's most powerful large language models to make customer service extraordinary for everyone. We’re driven to set the new standard for customer service at scale, enabling Enterprise companies to deliver experiences that are instant, proactive, personalized, and effortless. Our team is pushing the frontier of AI Agent development, measurement, and management to power quality service experiences that respect everyone’s most valuable asset, time.

Giving both customers, and customer service professionals, more quality time back for life’s big & small moments.Since 2016, Ada is a proudly Canadian company that has powered over 4 billion interactions—automating up to 83% of all customer inquiries—for leading brands like Square, YETI, Canva, and Monday.com saving millions of hours of human effort for people all over the world. Backed with over $250M in funding from tier-1 investors including Accel, Bessemer, FirstMark, Spark, and Version One Ventures, Ada is a pioneer in applied AI customer service. At Ada, we see growth as a reflection of each individual owner’s personal growth.

That’s why our values are rooted in driving progress and continuous improvement. If you’re ambitious and eager to grow, Ada could be the place for you.Learn more at www.ada.cx.As a Machine Learning Scientist within our R&D organization  you will design, experiment, and deploy data science solutions that will be integrated into Ada’s product. You will work closely with Product Designers, Engineers and other ML Scientists to create delightful and impactful experiences for millions of customers.We're looking for someone who is passionate about data science and about contributing to a world-class customer service automation platform. You will be expected to develop product features involving machine learning, and will be responsible for writing data pipelines, modelling and experimentation all the way through to deployment. You will also get the opportunity to contribute to improving the team's data science and ML engineering practices.

About You


  • Proven industry experience with Generative AI
  • 2-5 years of industry experience
  • Master or PhD in Machine Learning or a related field is preferred
  • Interested in Applied ML Science that includes optimization and R&D for AI-first production systems
  • Excellent understanding of Machine Learning principles. Preferably worked on natural language processing (NLP) problems before but not required
  • Experienced in designing and tracking efficient and thorough data science experiments
  • Robust software and data engineering practices

Outcomes


  • Execute on our ambitious machine-learning product roadmap through the implementation of features
  • Help identify areas of opportunity and innovation within our product
  • Increase the business value that Ada brings to our customers by bringing innovative research projects into production

Benefits


  • Competitive salary and generous stock option plan
  • Unlimited vacation
  • Wellness account
  • Extended health coverage
  • Dental/optical/travel insurance
  • Life insurance
  • Employee and family assistance plan

Perks


  • Flexible work schedule
  • Remote-first, In-person friendly work environment with WFH budget
  • Paid parental leave for Canadian and U.S. residents
  • Development opportunities

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Life at Ada

Ada's AI-powered platform enables enterprise businesses around the world to automate an incredible customer experience that saves time, reduces cost, and strengthens support. Our industry-leading clients like Telus, Upwork and Shopify, trust us to harmonize humans and AI to deliver instant, empathic, and effortless customer engagement. To learn more about how Ada can scale your support, schedule a demo today or visit https://ada.support/
Thrive Here & What We Value- Flexible work schedule (remote first, in-person friendly)- Wellness account & extended health coverage- Paid parental leave for Canadian and U.S. residents- Development opportunities- Competitive salary & generous stock option plan- Emphasis on diversity, equity, & inclusion (encouraging marginalized communities)- Unlimited vacation
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