As a Machine Learning Engineer on the AI Research & Development team, the primary focus will be on the implementation & evaluation of machine learning algorithms through rigorous experimentation & existing methodologies. Telecommuting promoted.
Minimum Requirement for Position: Bachelor's degree or foreign equivalent in Computer Science or related field and three years (3) of experience in job offered or related occupation. Alternatively, a Master's in Computer Science or related field and one year (1) of experience in a job offered or related occupation.
Education or experience must include: 1) Productionisation of ML models with focus on recommendations, ranking, or personalization 2) Model development with classical ML techniques for tabular data 3) Model development with modern ML techniques for sequential data 4) Hands-on experience with architectural frameworks of large distributed and high-scale ML applications 5) Produce robust business outcomes through comprehensive A/B test and rigorous statistical analysis 6) Proficiency in Python, SQL, XGBoost, PyTorch or Tensorflow to carry out production ready projects 7) Spark, Kafka or Kubeflow Kubernetes.
Background checks required.
See benefits at https://careers.robinhood.com/benefits.
Apply here: https://job-boards.greenhouse.io/robinhood/jobs/7960680?t=gh_src=&gh_jid=7960680 and indicate job code 10035097 in your application.
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