Develop and implement automation solutions to support machine learning technology integration activities, focusing on agentic workflow development, automated analysis workflows, and integration automation.
Responsibilities
Develop automated data pipelines for machine learning technology integration initiatives
Create automation workflows for malware sample collection, detonation, and taxonomy
Implement AI/LLM integrations with Databricks and other cloud services
Implement data integration automation between pilot and production systems
Support Automated Malware Analysis (AMA) platform development and enhancement
Design and implement machine learning–driven bidding algorithms for Netflix’s ad tech ecosystem.
Compensation
The range for this role is $500,000.00 - $860,000.00. This compensation range will vary based on location.
Responsibilities
Design and implement machine learning–driven bidding algorithms that optimize ad performance against objectives such as Clicks, Conversions, CPA and ROAS.
Build, train, and evaluate bidding algorithms on large-scale production data, ensuring robustness to marketplace dynamics, seasonality, and distribution shifts.
Develop online and offline evaluation frameworks to rigorously measure the impact of bidding algorithms and policy changes.
Inform and influence auction and pricing mechanism design, ensuring alignment between bidding algorithms, marketplace efficiency, and business goals.
Partner closely with the product team to define bidding objectives, constraints, and trade-offs that align with product and revenue goals.
Requirements
Advanced degree (PhD or Master’s) in Computer Science, Statistics, Mathematics, or related quantitative field
Apply machine learning and information retrieval methods to enterprise search problems within the Copilot Agents & Search Quality team.
Compensation
The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year.
Responsibilities
Investigate search and retrieval quality problems using data, offline evaluation, and statistical analysis.
Develop and test methods for query understanding and sparse, dense, or multimodal retrieval, including large language model techniques where appropriate.
Build and analyze evaluations and experiments; explain results, limitations, and recommendations to partners.
Collaborate with engineering and product teams to integrate validated approaches and assess quality, latency, and efficiency.
Document findings and refine solutions based on evaluation results and product needs.
Requirements
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
Nice to have: Information retrieval or search relevance
Lead high-impact analytical projects, develop AI-powered solutions, and translate insights into actionable business recommendations for Microsoft sellers and leaders.
Compensation
Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Responsibilities
Own ambiguous, high-impact analytical problems from definition through deployment and adoption
Identify and integrate relevant data sources
Define analytical approaches and success criteria
Develop statistical, machine learning, and AI-powered solutions
Translate findings into clear recommendations for business and technical leaders
Requirements
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
The Senior Data Scientist will analyze large and complex datasets from Caterpillar’s connected field assets to identify trends, opportunities, and insights that create business and customer value. This role will focus on turning machine and connectivity data into meaningful, actionable recommendations that support better decision-making across the organization.
Compensation
Summary Pay Range:
$112,710.00 - $183,140.00
Responsibilities
Analyze data from Caterpillar’s connected field assets to identify machine usage trends, performance issues, and opportunities to improve customer outcomes.
Develop insights that help dealer- and customer-facing teams proactively identify equipment issues and make more informed recommendations.
Turn connectivity and machine data into actionable business insights, rather than simply reporting or passing along data.
Partner across Construction Industries, Resource Industries, and Power & Energy to address real-world equipment and fleet challenges using connected asset data.
Develop analytical models and data-driven solutions that support condition monitoring, fleet management, and improved product and service decisions.
Requirements
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related technical field
Develops and maintains software applications across the full development lifecycle, focusing on both front‑end and back‑end technologies, and ensures compliance with industry standards such as PCI.
Responsibilities
Develop and maintain code across multiple platforms
Design and implement application specifications
Perform unit testing and debugging
Validate and test code changes
Provide support to leadership on application standards and PCI compliance
Requirements
Bachelor's in Computer Science, Information Technology, Business / Management Information Systems or related field
Lead the end-to-end architecture, build pipelines, systems, and models for next-generation intelligence systems for gaming, spanning market forecasting, outcome prediction, multimodal content understanding, evaluation, and agentic systems.
Compensation
This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set.
Responsibilities
Work on the Game Intelligence ML platform from data ingestion to serving.
Define, lead, and spearhead engineering practices for the agentic era.
Build predictors of commercial outcomes (e.g., user acquisition cost, lifetime value).
Build forecasting models over market signals to detect emerging demand.
Adjunct Faculty to teach Introduction to Bioinformatics (BIOT 630), emphasizing data interpretation, sequence analysis, and mathematical modeling, while mentoring students in an asynchronous online format.
Compensation
Instructor: No Terminal Degree: Step 1 $806 - Step 11 $1,050 per credit hour
Assistant Adjunct Professor: No Terminal Degree Step 1 $877 - Step 11 $1,127 per credit hour
Assistant Adjunct Professor: Terminal Degree Step 1 $1,023 - Step 11 $1,288 per credit hour
Associate Adjunct Professor: No Terminal Degree Step 1 $947 - Step 11 $1,205 per credit hour
Associate Adjunct Professor: Terminal Degree Step 1 $1,202 - Step 11 $1,483 per credit hour
Adjunct Professor: No Terminal Degree Step 1 $1,023 - Step 11 $1,288 per credit hour
Adjunct Professor: Terminal Degree Step 1 $1,347 - Step 11 $1,645 per credit hour
Responsibilities
Maintain an active classroom presence at least 5 days per week
Bridge theory & practice with real-world expertise
Foster an inclusive, culturally responsive environment
Respond to inquiries and return feedback consistently
Monitor student progress and conduct proactive outreach
Requirements
Terminal degree in Biotechnology, Molecular Biology, or related field from an accredited institution of higher learning
Nice to have: Teaching adult learners in an online, asynchronous environment
Nice to have: Prior postsecondary teaching experience
Nice to have: Active engagement in discipline's professional community
AI/ML EngineerNewStellantis · Auburn Hills, US
AI/ML EngineerNewBCMC · Arlington, US
Machine Learning Scientist 5 - Bidding & PacingNewNetflix · Remote, US
Especialista en Inteligencia Artificial (H/X/M)NewEl Corte Inglés, S.A. · Madrid, Spain