Engineer 2 - Machine Learning Job at Comcast Advertising (Chennai)

Machine Learning Engineer 2

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers...

Location

United States , New York

Salary:

126147.20 - 189220.80 USD / Year

Comcast Advertising

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field of study
1-2 years of relevant professional experience
Strong understanding of software development principles, data structures, and algorithms
Proficient in Python, with a good grasp of common design patterns and backend system design principles, experience with C++ is a bonus
Solid understanding of testing methodologies, with hands-on experience in backend testing tools such as pytest, etc., to ensure code quality and system reliability
Strong problem-solving and debugging skills in backend systems
Good communication and writing skills, coupled with the ability to thrive in a fast-paced, dynamic environment
Familiarity with the Scrum Agile collaboration framework and experience using Jira are a plus
Familiarity with CI/CD tools, Git, and understanding of DevOps principles, experience with Jenkins is a plus
Experience with Docker, Kubernetes, or cloud computing platforms is a plus

Job Responsibility

Implementing, refining, and validating machine learning algorithms tailored for company products and applications
Training machine learning models, validating their accuracy, and manage the deployment of these models into production environments
Designing and developing data pipelines, ensuring proper data ingestion, validation, cleaning, and monitoring
Researching and authoring documentation and technical requirements, including white papers, test results, and formal recommendations
Innovating by contributing to the creation of patents, Application Programming Interfaces (APIs), and other intellectual property
Testing and evaluating machine learning solutions from internal and external sources, providing detailed assessments
Conducting case studies and compile reports to inform testing strategies and results
Designing proof of concept solutions, contributing to research studies that underpin future product or application development
Consistent exercise of independent judgment and discretion in matters of significance
Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary

What we offer

Paid Time off
Physical Wellbeing
Financial Wellbeing
Emotional Wellbeing
Life Events + Family Support
Bonus

Fulltime

Engineer 2, Machine Learning

Responsible for contributing to the development and deployment of machine learni...

Location

India , Chennai

Salary:

Not provided

Comcast Advertising

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field
3–4 years of hands-on experience in ML engineering, ML testing, or applied ML roles
Strong understanding of ML fundamentals, debugging, and evaluation methodologies
Strong proficiency in Python
Hands-on experience with ML frameworks (scikit-learn, PyTorch, TensorFlow)
Experience building or extending testing frameworks (pytest, unittest)
Solid skills in Pandas, NumPy, and data analysis
Experience or exposure to LLMs and GenAI concepts: Prompt engineering, LLM evaluation techniques, RAG pipelines (basic understanding)
Familiarity with ML pipelines, model deployment workflows, and CI/CD
Curious mindset with interest in GenAI and LLM-driven automation

Job Responsibility

Contributes to the implementation, refinement and validation of machine learning algorithms for products and applications
Trains machine learning models, validates the accuracy of the machine learning models once trained and deploys validated machine learning models into production
Contributes to designs and development of data pipelines consisting of data ingest, data validation, data cleaning and data monitoring
Researches, writes and edits documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports
Contributes to the company by creating patents, Application Programming Interfaces (APIs) and other intellectual property
Contributes to the testing and evaluation of solutions presented to the Company by various internal and external partners and vendors
Contributes to case studies, testing and reporting
Designs proof of concept solutions and contributes to studies to support future product or application development
Consistent exercise of independent judgment and discretion in matters of significance
Regular, consistent and punctual attendance

What we offer

Paid Time off
Physical Wellbeing benefits
Financial Wellbeing benefits
Emotional Wellbeing benefits
Life Events + Family Support benefits

Fulltime

Research Engineer / Machine Learning Engineer - B2B Applications

OpenAI is at the forefront of artificial intelligence, driving innovation and sh...

Location

United States , San Francisco

Salary:

295000.00 - 445000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

Master's/ PhD degree in Computer Science, Machine Learning, or a related field
2+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies
Demonstrated experience in deep learning and transformers models
Proficiency in frameworks like PyTorch or Tensorflow
Strong foundation in data structures, algorithms, and software engineering principles
Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
Excellent problem-solving and analytical skills, with a proactive approach to challenges
Ability to work collaboratively with cross-functional teams
Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.

Job Responsibility

Innovate and Build: Design and build advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact
Collaborate with the Best: Work closely with software engineers, product managers and forward deployed engineers to understand complex business challenges, address customer concerns and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives
Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches
Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices
Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value. Your work will directly influence how AI benefits individuals, businesses, and society at large.

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

Machine Learning Engineer - Evisort

Join the Evisort AI team at Workday, which powers Document Intelligence AI and W...

Location

Canada , Vancouver

Salary:

128000.00 - 192000.00 CAD / Year

Workday

Expiration Date

Until further notice

Requirements

5+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation
2+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow
2+ years of professional experience in building services to host machine learning models in production at scale
2+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
2+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)
Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent

Job Responsibility

Develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis
Collaborate with other engineers to deliver ML solutions across Workday’s product ecosystem
Utilize software and data engineering stacks to enable training, deployment, and lifecycle management of various ML models
Develop and deploy new products at scale
Leverage Workday’s vast computing resources on rich datasets to deliver transformative value to our customers

Fulltime

AI / Machine Learning Engineer

Location

United States , Los Angeles

Salary:

170000.00 - 190000.00 USD / Year

Signify Technology

Expiration Date

Until further notice

Requirements

5+ years in software/data engineering or machine learning
2+ years building AI/ML or LLM-based systems in production environments
Hands-on experience with Azure AI services, Azure AI Foundry, Azure Machine Learning, OpenAI on Azure, and Copilot Studio
Working knowledge of Lakehouse architecture and tools such as Microsoft Fabric, Databricks, and/or Azure Synapse
Proficiency with Git, Azure DevOps (or GitHub), Agile methods (e.g., Jira), and CI/CD pipelines for analytical solutions
Proven experience building autonomous agents or AI-driven workflows with safety and observability
Expertise in prompt engineering, fine-tuning, RAG, and evaluation frameworks
Comprehensive understanding of the ML lifecycle from experimentation through deployment, monitoring, and continuous improvement

Job Responsibility

Design and implement AI/ML solutions with Azure Machine Learning, Azure AI Foundry (AI Studio), OpenAI on Azure, and Copilot Studio
Build, fine-tune, and evaluate LLM-based applications
Develop and maintain Python pipelines (ETL/ELT) and ML models
Deliver demand prediction, sales forecasting, and operational planning models
Integrate AI into Power Platform solutions and line-of-business apps
Build task-oriented AI agents and automation workflows
Design context management patterns for AI systems
Design scalable data products on Fabric/Databricks/Synapse
Build CI/CD for models and prompts
Implement telemetry and responsible AI evaluations

What we offer

Comprehensive Medical, Dental and Vision Plans
Health Savings Account (HSA)
Flexible Spending Accounts (FSA)
Wellness Incentive
Employee Assistance Program (EAP)
Paid Time Off & Holidays
401(k) Retirement Plan Matching
Group Term Life and AD&D Insurance
Short-Term and Long-Term Disability Insurance
Data-Driven Strategy to Provide Competitive and Equitable Compensation Packages

Fulltime

Machine Learning Engineer II

Uber's Marketplace is at the core of the business. The Earner Incentive team in ...

Location

United States , San Francisco; Sunnyvale

Salary:

171000.00 - 190000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor's or M.S. degree in Computer Science, Statistics, Mathematics, Machine Learning, Operations Research, or a related technical field, or equivalent practical experience
2+ years of experience in software engineering with an emphasis on data-driven methodologies, deep learning, and online experimentation
Solid understanding of machine learning and statistical techniques, including deep learning (e.g., multi-task learning), tree-based models, and experimentation
Proficiency in at least one production-grade language (Python, Scala, Java, or Go) and familiarity with common ML frameworks (e.g., PyTorch, TensorFlow, or scikit-learn)
Solid software engineering fundamentals, including the ability to write clean, maintainable production code, conduct thorough code reviews, and implement testing best practices
Experience operating and monitoring ML models in a production setting, with a basic understanding of MLOps workflows
Strong learning mindset, proactive ownership, and effective communication skills
ability to collaborate effectively within cross-functional teams

Job Responsibility

Build, productionize, and maintain ML solutions and data pipelines for the large-scale systems that power Uber's driver incentives
Implement and iterate on advanced ML and optimization techniques to improve marketplace efficiency and reliability, directly impacting the earning opportunities of millions of drivers
Translate business requirements into actionable technical tasks and practical, production-ready code, navigating technical trade-offs to ensure system reliability
Develop a deep understanding of incentives, pricing, and marketplace dynamics to build systems that align with operational needs and business goals
Contribute to high engineering standards by participating in design and code reviews, maintaining robust testing, and ensuring the stability of production ML systems
Partner closely with engineers, product managers, and scientists to ensure the successful delivery of high-impact solutions to marketplace problems
Own technical workstreams from development through production rollout, ensuring consistent execution and measurable impact on your immediate team's goals

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible to participate in a 401(k) plan
Various benefits

Fulltime

Sr. Lead Machine Learning Engineer

As a Capital OneMachine Learning Engineer (MLE), you'll be part of an Agile team...

Location

United States , New York, New York; San Francisco, California; San Jose, California; Cambridge, Massachusetts; McLean, Virginia

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree
At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java
At least 3 years of experience building, scaling, and optimizing ML systems
At least 2 years of experience leading teams developing ML solutions

Job Responsibility

Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications
Retrain, maintain, and monitor models in production
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale
Construct optimized data pipelines to feed ML models
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI
Use programming languages like Python, Scala, or Java

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
health, financial and other benefits

Fulltime

Machine Learning Engineer

We are Woolworths Group. Woolworths Group is an Australian food and everyday nee...

Location

Australia , Sydney

Salary:

Not provided

Woolworths Supermarkets

Expiration Date

Until further notice

Requirements

Bachelor's degree or above in Computer Science, Engineering, or a related field
3+ years of commercial software development experience
2+ years of hands-on experience in Python, SQL, and Linux
Hands-on experience with manipulating and processing large, complex datasets (preferred)
Hands-on experience with social media statistics/metrics APIs/tools (preferred)
Hands-on experience with containerized solutions such as Docker (preferred)
Hands-on experience with GenAI(LLM) solutions (preferred)
Experience building Machine Learning / Data pipelines (preferred)
Experience building RESTful APIs (preferred)
Experience in ML Engineering, MLOps, or DevOps (preferred)

Job Responsibility

Design, develop, implement, scale and maintain Advanced Analytics Solutions
Design, develop, implement, scale and maintain Advanced Analytics solutions using predominantly Google Cloud (GCP) products
Develop Cloud based ML pipelines to solve a broad range of business problems
Grow the Engineering Guild capability through pioneering new tech and approaches to improve time to market, reliability and performance of Data Science applications
Work collaboratively with Data Scientists, ML Engineers & Data Engineers to develop cutting edge retail tools in an agile manner
Create, present and seek inputs and feedback on architecture, solution designs and foster alignment and support for solutions
Apply relevant testing frameworks to ensure the robustness of solutions
Communicate analyses, insights, solution designs and showcase working solutions

What we offer

Team discounts across our range of Woolworths Group brands
12 weeks paid parental leave for primary caregivers plus paid superannuation for up to 12 months while the Team Member is on parental leave - eligible from the first day of employment
24/7 access to the Sonder app

Fulltime

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Engineer 2 - Machine Learning

Job Description

Job Responsibility

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What we offer

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