Please complete the CAPTCHA to continue
@netflix.com
✓
1 phone found area 646
✓
LinkedIn matched
A concise factual answer block for searchers comparing this professional profile.
James Mcinerney is listed as Machine Learning Scientist (Netflix) at Netflix, based in New York, New York, United States. AeroLeads shows a work email signal at netflix.com, phone signal with area code 646, and a matched LinkedIn profile for James Mcinerney.
James Mcinerney previously worked as Senior Research Scientist at Netflix and Tech Lead at Spotify. James Mcinerney holds Ba Computer Science from University Of Oxford.
This section adds company-level context without repeating James Mcinerney's masked contact details.
AeroLeads found 1 current-domain work email signal for James Mcinerney. Compare company email patterns before reaching out.
I help organizations embrace and participate in emerging fields in machine learning. During my career I have led several founding initiatives within industry, related to bandits, reinforcement learning, deep uncertainty quantification, probabilistic modeling, recommender systems, & counterfactual evaluation, resulting in several key patents (pending and granted) and widely cited papers at top tier conferences and journals. On the academic side, I have acted as area chair (AISTATS, RecSys), reviewed across all of the top conferences and journals in machine learning, co-organized influential workshops on scalable approximate inference, course designed & taught machine learning as Adjunct Professor, and mentored a number of students and colleagues on research.
Listed skills include Machine Learning, Bayesian Statistics, Bayesian Networks, Bayesian Inference, and 19 others.
Company context helps verify the profile and gives searchers a useful next step.
A career timeline built from the work history available for this profile.
Los Gatos, CA, US
Methodological contributions to epistemic uncertainty quantification for large-scale models, variational inference for temporal point processes for inferring user satisfaction, machine learning for systems (ML4Sys). Generative modeling and simulation methods for personalization. Research advisory on bandits and causal machine learning for launching new.
Stockholm, Stockholm County, SE
Developed machine learning strategy for tech research (opportunities for machine learning in R&D) and engineering (homepage personalization).
Stockholm, Stockholm County, SE
Developed methodologies in counterfactual evaluation for offline evaluation and optimization.Publications:1. Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions, KDD 2020 https://arxiv.org/pdf/2007.12986.pdf2. Offline Evaluation to Make Decisions About Playlist Recommendation Algorithms, WSDM 2019.
Stockholm, Stockholm County, SE
Founding member of the homepage personalization team that established the first bandits approach in production at the company providing explainable recommendations with factorization machines.Explore, Exploit, and Explain: Personalizing Explainable Recommendations with Bandits, RecSys 2018 https://dl.acm.org/doi/abs/10.1145/3240323.3240354
New York, NY, US
Designed and taught the machine learning course at Masters level, leading a team of 7 TAs to teach 110 in-class students and 20 remote students.
New York, New York, US
Research in methods for statistical machine learning, approximate Bayesian inference, and variational inference. Also explored applications to recommender systems, Raman spectroscopy, analyzing stroke patient mobility. Selected publications:1. The Population Posterior and Bayesian Modeling on Streams, NeurIPS 2015.
Princeton, NJ, US
Research in methods for statistical machine learning, approximate Bayesian inference, and variational inference.
Quick answers generated from the profile data available on this page.
James Mcinerney works for Netflix.
James Mcinerney is listed as Machine Learning Scientist (Netflix) at Netflix.
AeroLeads has found 1 work email signal at @netflix.com for James Mcinerney at Netflix.
AeroLeads has found 1 phone signal(s) with area code 646 for James Mcinerney at Netflix.
James Mcinerney is based in New York, New York, United States while working with Netflix.
James Mcinerney has worked for Netflix, Spotify, Columbia University, Institute For Data Sciences And Engineering At Columbia University, and Princeton University.
You can use AeroLeads to view verified contact signals for James Mcinerney at Netflix, including work email, phone, and LinkedIn data when available.
James Mcinerney holds Ba Computer Science from University Of Oxford.
James Mcinerney is listed with skills including Machine Learning, Bayesian Statistics, Bayesian Networks, Bayesian Inference, Early Stage Startups, Mobile Applications, Iphone Application Development, and Android Development.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial Search contacts