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Machine Learning Scientist Graduate (Global E-commerce Content Recommendation) - 2026 Start (BS[...]
Ellis Technologies, Inc.
- Seattle, Washington, United States
- Seattle, Washington, United States
Über
Employment Type: Regular
Job Code: A142126
Responsibilities Team Introduction
Develop and deploy ML models to power personalized e-commerce recommendations
Collaborate cross‑functionally with product, infra, and data teams to translate business goals into technical solutions
Evaluate model performance in both offline and online (A/B) testing to drive user experience and GMV
Focus on scaling, robustness, and production‑quality deployment
Commit to onboarding by end of 2026; specify availability and graduation date in resume
Qualifications Minimum Qualifications
Final year with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline
Proficient coding skills in Python and hands‑on experience with deep learning frameworks such as TensorFlow or PyTorch
Demonstrated ability to conduct rigorous research and analyze large‑scale data
Strong problem‑solving skills and a high sense of ownership
Preferred Qualifications
Publications in ML/AI conferences (e.g., NeurIPS, ICML, ACL, SIGIR, KDD, CVPR, RecSys)
Experience with recommendation systems, retrieval models, or multi‑modal learning
Familiarity with building and deploying real‑time, scalable ML systems in production
Background in e‑commerce or related applied AI research domains
Job Information The base salary range for this position in the selected city is $124,717 – $243,200 annually.
Compensation may vary outside of this range depending on a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short‑term and long‑term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems;
Exercising sound judgment.
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Sprachkenntnisse
- English
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