High proficiency in standard tech stack (e.g., R, Python, SQL), Causal Inference (e.g., propensity score matching, double machine learning), and Machine Learning (Supervised Learning, LLM Evaluation ...
High proficiency in standard tech stack (e.g., R, Python, SQL), Causal Inference (e.g., propensity score matching, double machine learning), and Machine Learning (Supervised Learning, LLM Evaluation ...
As an Agentic AI/Machine Learning Consultant, you will collaborate with cross-functional teams to ... Proficiency in Python (R is a plus) * Experience with LLM platforms such as OpenAI, Anthropic, or ...
As an Agentic AI/Machine Learning Consultant, you will collaborate with cross-functional teams to ... Proficiency in Python (R is a plus) * Experience with LLM platforms such as OpenAI, Anthropic, or ...
As an Agentic AI/Machine Learning Consultant, you will collaborate with cross-functional teams to ... Proficiency in Python (R is a plus) * Experience with LLM platforms such as OpenAI, Anthropic, or ...
Quick apply
As an Agentic AI/Machine Learning Consultant, you will collaborate with cross-functional teams to ... Proficiency in Python (R is a plus) * Experience with LLM platforms such as OpenAI, Anthropic, or ...
About The Role The Principal AI/Machine Learning Engineer will oversee defining and executing ZT ... Leverage deep, data-rich environments and tools (e.g., Minitab, JMP, Python, R, SQL) to generate ...
About The Role The Principal AI/Machine Learning Engineer will oversee defining and executing ZT ... Leverage deep, data-rich environments and tools (e.g., Minitab, JMP, Python, R, SQL) to generate ...
Machine Learning Researcher
$154K - $213K/yr
Morgan Stanley's Machine Learning Research Department is responsible for working across the Firms ... Broad experience across multiple fields is a plus Development experience in Python or R (C, C ...
Machine Learning Researcher
$154K - $213K/yr
Morgan Stanley's Machine Learning Research Department is responsible for working across the Firms ... Broad experience across multiple fields is a plus Development experience in Python or R (C, C ...
About The Role The Principal AI/Machine Learning Engineer will oversee defining and executing ZT ... Leverage deep, data-rich environments and tools (e.g., Minitab, JMP, Python, R, SQL) to generate ...
About The Role The Principal AI/Machine Learning Engineer will oversee defining and executing ZT ... Leverage deep, data-rich environments and tools (e.g., Minitab, JMP, Python, R, SQL) to generate ...
About the Role The Principal AI/Machine Learning Engineer will oversee defining and executing ZT ... Leverage deep, data‑rich environments and tools (e.g., Minitab, JMP, Python, R, SQL) to generate ...
About the Role The Principal AI/Machine Learning Engineer will oversee defining and executing ZT ... Leverage deep, data‑rich environments and tools (e.g., Minitab, JMP, Python, R, SQL) to generate ...
About The Role The Principal AI/Machine Learning Engineer will oversee defining and executing ZT ... Leverage deep, data-rich environments and tools (e.g., Minitab, JMP, Python, R, SQL) to generate ...
About The Role The Principal AI/Machine Learning Engineer will oversee defining and executing ZT ... Leverage deep, data-rich environments and tools (e.g., Minitab, JMP, Python, R, SQL) to generate ...
Senior Machine Learning Engineer - Healthcare
New York, NY · On-site +1
$118K - $148K/yr
... R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch ... machine learning technologies and systems, including hands-on experience in NLP and modern ML/NLP ...
Quick apply
Senior Machine Learning Engineer - Healthcare
New York, NY · On-site +1
$118K - $148K/yr
... R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch ... machine learning technologies and systems, including hands-on experience in NLP and modern ML/NLP ...
Senior · Staff · Principal Machine Learning Engineer
New York, NY · On-site
$137K - $189K/yr
Senior / Staff / Principal Machine Learning Engineer Location: Onsite New York (5 days onsite AND ... Strong proficiency in Python, R, or other relevant languages. * ML Frameworks: Experience with ...
Senior · Staff · Principal Machine Learning Engineer
New York, NY · On-site
$137K - $189K/yr
Senior / Staff / Principal Machine Learning Engineer Location: Onsite New York (5 days onsite AND ... Strong proficiency in Python, R, or other relevant languages. * ML Frameworks: Experience with ...
Machine Learning Scientist, Algorithmic Recommendations (Email Targeting)
New York, NY · On-site
$121K - $131K/yr
We are looking for a Machine Learning Scientist to join the team and apply machine learning methods to our targeted email strategy. You will report to the lead of the AlgoRecs team. Responsibilities:
Machine Learning Scientist, Algorithmic Recommendations (Email Targeting)
New York, NY · On-site
$121K - $131K/yr
We are looking for a Machine Learning Scientist to join the team and apply machine learning methods to our targeted email strategy. You will report to the lead of the AlgoRecs team. Responsibilities:
About the Role Machine Learning is a cornerstone at Taskrabbit, and we're looking for a Staff ... You can do critical R&D. When a problem is novel and the solution is unclear, you have the depth to ...
About the Role Machine Learning is a cornerstone at Taskrabbit, and we're looking for a Staff ... You can do critical R&D. When a problem is novel and the solution is unclear, you have the depth to ...
Scientist Machine Learning for Ingredient Discovery - Princeton, NJ
Princeton, NJ · On-site
$100K - $140K/yr
Scientist Machine Learning for Ingredient Discovery Location: Princeton, NJ or Long Island City, NY ... A commitment to science-based innovations with 2000 scientists and 700 mln annual S&R investments.
Scientist Machine Learning for Ingredient Discovery - Princeton, NJ
Princeton, NJ · On-site
$100K - $140K/yr
Scientist Machine Learning for Ingredient Discovery Location: Princeton, NJ or Long Island City, NY ... A commitment to science-based innovations with 2000 scientists and 700 mln annual S&R investments.
Machine Learning Scientist, Scientific Reasoning Models, AI for Drug Discovery
New York, NY · On-site
$147K - $274K/yr
We are seeking a Machine Learning Scientist to join the Foundation Models team within Prescient Design (gRED). In this role, you will contribute to our internal reasoning Large Language Models (LLMs ...
Machine Learning Scientist, Scientific Reasoning Models, AI for Drug Discovery
New York, NY · On-site
$147K - $274K/yr
We are seeking a Machine Learning Scientist to join the Foundation Models team within Prescient Design (gRED). In this role, you will contribute to our internal reasoning Large Language Models (LLMs ...
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow...
New York, NY · On-site
$112K - $147K/yr
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated ...
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow...
New York, NY · On-site
$112K - $147K/yr
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated ...
Machine Learning Engineer, Evals
New York, NY · On-site
$153K/yr
Build a judge calibration protocol: sample human-labeled decisions, measure agreement (κ, per-class P/R), identify drift zones, and document it so anyone can re-run it * Extend an existing benchmark ...
Machine Learning Engineer, Evals
New York, NY · On-site
$153K/yr
Build a judge calibration protocol: sample human-labeled decisions, measure agreement (κ, per-class P/R), identify drift zones, and document it so anyone can re-run it * Extend an existing benchmark ...
... machine learning, that analyze current and historical facts to make predictions about future or otherwise unknown events. • Hands-on experience coding in Python/R/SAS. • Deep knowledge of ...
... machine learning, that analyze current and historical facts to make predictions about future or otherwise unknown events. • Hands-on experience coding in Python/R/SAS. • Deep knowledge of ...
ML Ops Engineer
Berkeley Heights, NJ · On-site
... R and comfortable in understanding statistical foundations of most used Client algorithms. • Experienced with Machine Learning frameworks: Sci-kit, Keras, Theano, TensorFlow, SparkMlib, etc.
ML Ops Engineer
Berkeley Heights, NJ · On-site
... R and comfortable in understanding statistical foundations of most used Client algorithms. • Experienced with Machine Learning frameworks: Sci-kit, Keras, Theano, TensorFlow, SparkMlib, etc.
Sr. Data Scientist
Newark, NJ · On-site
They are seeking a Senior Data Scientist with extensive experience in machine learning algorithms ... on R, Python, IBM SPSS • Excellent communication skills and ability to express the statistical ...
Sr. Data Scientist
Newark, NJ · On-site
They are seeking a Senior Data Scientist with extensive experience in machine learning algorithms ... on R, Python, IBM SPSS • Excellent communication skills and ability to express the statistical ...
ML Ops Engineer
Berkeley Heights, NJ · On-site
Job Summary : Keylent Inc is seeking a Machine Learning Ops Engineer to build and support a ... R and comfortable in understanding statistical foundations of most used Client algorithms. • ...
ML Ops Engineer
Berkeley Heights, NJ · On-site
Job Summary : Keylent Inc is seeking a Machine Learning Ops Engineer to build and support a ... R and comfortable in understanding statistical foundations of most used Client algorithms. • ...
Machine Learning Scientist 5 - Localization
New York, NY • On-site
Netflix
• Arts, Entertainment, and Recreation • 5 - 10K employees5,001 - 10,000 employees
Full-time
Medical, Life, Retirement, PTO
Posted 24 days ago
Netflix rating
5.8
Based on 15 frontline employees who took The Breakroom Quiz
Job description
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next.
The Localization Data Science and Engineering team is at the forefront of removing language barriers and providing a stellar member experience to all our members regardless of their language preferences. We are responsible for the translation and cultural adaptation of all aspects of member interaction, including beautiful localized user interfaces, subtitles, and dubbing of award-winning Netflix originals.
We are looking for an experienced Machine Learning Scientist to join our growing team. In this role, you will build causal and machine learning models to evaluate the impact of localization algos, partner with teammates to support localization algo strategy, and train supervised ML models for localization use cases. You will also partner with a talented cross-functional team of engineers, scientists, product managers, and domain experts to shape localization strategy and deliver business impact.
Responsibilities
About you
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
The Localization Data Science and Engineering team is at the forefront of removing language barriers and providing a stellar member experience to all our members regardless of their language preferences. We are responsible for the translation and cultural adaptation of all aspects of member interaction, including beautiful localized user interfaces, subtitles, and dubbing of award-winning Netflix originals.
We are looking for an experienced Machine Learning Scientist to join our growing team. In this role, you will build causal and machine learning models to evaluate the impact of localization algos, partner with teammates to support localization algo strategy, and train supervised ML models for localization use cases. You will also partner with a talented cross-functional team of engineers, scientists, product managers, and domain experts to shape localization strategy and deliver business impact.
Responsibilities
- Act as strategic partner for researchers and engineers to guide localization algo development
- Define and execute on roadmaps for measuring localization member impact and improving localization member experience with Causal Inference and Machine Learning tools
- Partner closely with other business leaders, product managers, and other data scientists to refine and scale your findings
- Present your research and insights to all levels of the company
- Become a regional expert on Localization Data Science and Engineering, helping educate and connect with regional offices
About you
- Proven track record of researching and leading Causal Inference, Machine Learning, and AI Evaluation methods in ambiguous and complex areas with a focus on technical rigor and robustness
- High proficiency in standard tech stack (e.g., R, Python, SQL), Causal Inference (e.g., propensity score matching, double machine learning), and Machine Learning (Supervised Learning, LLM Evaluation methods)
- 4+ years of relevant experience with Causal Inference and Machine Learning applications
- Exceptional communication and collaboration skills coupled with strong business acumen
- Comfortable with ambiguity; able to take ownership, and thrive with minimal oversight and process
- Netflix culture resonates with you
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
About Netflix
Sourced by ZipRecruiter
Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.
Industry
Arts, entertainment, and recreation
Company size
5,001 - 10,000 Employees
Headquarters location
Los Gatos, CA, US
Year founded
1997