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[REMOTE] Senior Machine Learning Research Engineer

Posted 1 month ago

Details

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Compensation
Not disclosed
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Industry
Computer Software
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Time commitment
Full time
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Company size
Between 51 - 200

Skills

Julia (Programming Language)
Python
Natural Language Processing (NLP)
Rust (Programming Language)
Deep Learning
Recommendation system

Job description

KEY RESPONSIBILITIES
  • Responsible for building the ML/AI models to apply and improve for E-commerce product discovery: filtering & searching, recommendation, personalization.
  • Work on NLP (Natural Language Processing) capability improvement and query understanding
  • Work with the engineering and product management teams on productionize and deploy ML models.
  • Monitor and develop evaluation strategies for measuring both model performance and real work impact.
  • Identify and validate business use cases that can be solved with AI, test, deploy, and measure them.
BASIC QUALIFICATIONS
  • Bachelor's Degree in Computer Science or a related field.
  • Experience with one or more general purpose programming languages including but not limited to: Python (required), C/C++, Julia, Rust.
  • Experience with one or more of the following: Machine Learning, Deep Learning, NLP, Ranking systems, Recommendation systems.
  • Experience with data wrangling, data cleaning and prep, dimensionality reduction using Spark, SQL.
  • Experience with Big Data concepts, tools, cloud solutions and architecture (AWS, Azure, GCP).
  • Strong understanding of statistics, experimental design, and measurements.
  • Strong analytical, problem-solving, and decision-making skills.
PREFERRED QUALIFICATIONS
  • Master/Ph.D with a focus in A.I/Machine Learning.
  • Having a track record of researching topics of E-commerce search and discovery domain.
BENEFITS
  • 100% remote culture. Live and work from wherever you feel happiest
  • 13th-month salary and performance bonus
  • Day-off: 14 days/year and Vietnam holidays
  • Macbook provided after probation period
  • Bao Viet Health Care Insurance (after 3-month in the role)
  • Monthly company party and quarterly company trip
  • Free online learning and Reimbursement for selected courses.
  • Free access to the co-working space
  • Annual health checks
  • Allowance for gyms, fitness, and yoga plus cash bonuses for lots of occasions around the year
  • Great chance to improve your expertise/skills and English communication via international exposure
  • Get support and work with talented and friendly members
JOB TYPE
Full-time
WORKING TIME
From Monday to Friday with working time 8:00 am to 5:00 pm

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