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Helper Reinforcement Learning Jobs in Texas (NOW HIRING)

Apptronik

Software Engineer - Human Motion Data

Austin, TX · On-site

$113K - $136K/yr

Collaborate closely with the Reinforcement Learning and Controls teams to iterate on data ... Proficiency in C++ is highly valued to help integrate with our broader robotics software stack.

Apptronik

Software Engineer - Human Motion Data

Austin, TX · On-site

$113K - $136K/yr

... generate accurate human motion trajectories for reinforcement learning applications ... help integrate with our broader robotics software stack • Familiarity and hands-on experience ...

Apptronik

Software Engineer - Human Motion Data

Austin, TX · On-site

$113K - $136K/yr

... data and reinforcement learning pipelines, architecting robust motion data pipelines and ... help integrate with our broader robotics software stack. • Familiarity and hands-on experience ...

Apple

Machine Learning Engineer

Austin, TX · On-site

This role will assist our Online Retail Decision Automation team by helping to research and develop ... Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning ...

Roku

Senior Machine Learning Engineer

Austin, TX

$121K - $160K/yr

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... Help build a first-class machine learning platform from the ground up which manages the entire ...

Apple

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

This role will assist our Online Retail Decision Automation team by helping to research and develop ... Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning ...

Braze

Senior Lead AI Solutions Consultant

Austin, TX

$117K - $175K/yr

Serve as a thought leader, evangelizing the benefits of AI testing & reinforcement learning ... You are able to draw insights from data and perform analysis that is helpful and clear to customers

Apple

Machine Learning Engineer

Austin, TX

$132K - $244K/yr

This role will assist our Online Retail Decision Automation team by helping to research and develop ... Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning ...

Apple

Machine Learning Engineer

Austin, TX

$132K - $244K/yr

This role will assist our Online Retail Decision Automation team by helping to research and develop ... Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning ...

Apple

Machine Learning Engineer

Austin, TX

$132K - $244K/yr

This role will assist our Online Retail Decision Automation team by helping to research and develop ... Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning ...

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All JobsHelper Reinforcement Learning JobsHelper Reinforcement Learning Jobs in Texas

Helper Reinforcement Learning information

What is the difference between Helper Reinforcement Learning vs Data Scientist?

AspectHelper Reinforcement LearningData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; knowledge of reinforcement learningDegree in Data Science, Statistics, Computer Science; proficiency in programming and analytics
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics, research, consulting firms, tech companies
Industry UsageAI development, machine learning projectsData analysis, predictive modeling, business insights
Common Search/ComparisonHelper Reinforcement Learning vs Data Scientist

Helper Reinforcement Learning focuses on developing algorithms that enable machines to learn through interactions, often requiring knowledge of reinforcement learning techniques. Data Scientists analyze data to extract insights, build models, and support decision-making. While both roles involve programming and data handling, Helper Reinforcement Learning is more specialized in AI algorithm development, whereas Data Scientists work broadly across data analysis and modeling in various industries.

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Helper Reinforcement Learning jobs near you

Sr. ML Scientist (Pricing & Reinforcement Learning)

Futran Tech Solutions Pvt. Ltd.

Plano, TX • On-site

Full-time

Posted 11 days ago

Job description

About Us:
LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree - a Larsen & Toubro Group company - combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit .
Job Title:
Senior ML Scientist (Pricing Reinforcement Learning)
Work Location:
Plano TX
Work Mode:
Remote
Job Description:
Role Overview
We seek a Senior ML Scientist to drive innovation in AI MLbased dynamic pricing algorithms and personalized offer experiences This role will focus on designing and implementing advanced machine learning models including reinforcement learning techniques like Contextual Bandits Qlearning SARSA and more By leveraging algorithmic expertise in classical ML and statistical methods you will develop solutions that optimize pricing strategies improve customer value and drive measurable business impact
Key Responsibilities
Algorithm Development Conceptualize design and implement state-of-the-art ML models for dynamic pricing and personalized recommendations
Reinforcement Learning Expertise Develop and apply RL techniques including Contextual Bandits Qlearning SARSA and concepts like Thompson Sampling and Bayesian Optimization to solve pricing and optimization challenges
AI Agents for Pricing Build AIdriven pricing agents that incorporate consumer behaviour demand elasticity and competitive insights to optimize revenue and conversion
Rapid ML Prototyping Experience in quickly building testing and iterating on ML prototypes to validate ideas and refine algorithms
Feature Engineering Engineer largescale consumer behavioural feature stores to support ML models ensuring scalability and performance
CrossFunctional Collaboration Work closely with Marketing Product and Sales teams to ensure solutions align with strategic objectives and deliver measurable impact
Controlled Experiments Design analyze and troubleshoot AB and multivariate tests to validate the effectiveness of your models
Qualifications
8 years in machine learning 5 years in reinforcement learning recommendation systems pricing algorithms pattern recognition or artificial intelligence
Expertise in classical ML techniques eg Classification Clustering Regression using algorithms like XGBoost Random Forest SVM and KMeans with handson experience in RL methods such as Contextual Bandits Qlearning SARSA and Bayesian approaches for pricing optimization
Proficiency in handling tabular data including sparsity cardinality analysis standardization and encoding
Proficient in Python and SQL including Window Functions Group By Joins and Partitioning
Experience with ML frameworks and libraries such as scikitlearn TensorFlow and PyTorch
Knowledge of controlled experimentation techniques including causal AB testing and multivariate testing
Required Skills:
5+ Yrs Expereince in Pricing Reinforcement Learning
8+ Yrs Experience in Machine Learning
Expert in Python & Tabular Data
SQL
Knowledge of AB Testing

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