Senior Machine Learning Engineer - Applied AI Job at Uber (Bangalore)

Senior Machine Learning Engineer, Applied AI Modeling

We’re looking for a Senior Machine Learning Engineer with a strong focus on appl...

Location

United States

Salary:

139000.00 - 218000.00 USD / Year

Mozilla

Expiration Date

Until further notice

Requirements

4+ years of experience in applied machine learning, with a focus on natural language processing or generative AI
Hands-on experience fine-tuning and evaluating LLMs using modern tools and open-source libraries
Strong understanding of prompt engineering, embedding-based retrieval, and evaluation strategies for generative applications
Experience using ML tooling to lead the end-to-end lifecycle of model development—from data exploration to deployment-ready artifacts
Track record of building user-facing AI features, especially where privacy, latency, and usability are critical
Clear communication skills and ability to collaborate with multi-functional partners on a distributed team
Commitment to our values: Welcoming differences
Being relationship-minded
Practicing responsible participation
Having grit

Job Responsibility

Develop and fine-tune large language models (LLMs) for intelligent, safe, and responsive browser interactions
Apply retrieval-augmented generation (RAG), summarization, classification, and intent modeling techniques in real-world browser workflows
Use modern ML tooling (e.g., Hugging Face, LangChain, Weights & Biases, Ray, or similar) to support end-to-end model development, including experimentation, evaluation, and rollout
Collaborate closely with product and engineering partners to design, iterate, and launch features that align with user needs and Mozilla’s values
Design and implement experiments to test model behavior in production, analyze results, and iterate based on findings
Document and share your work, participating in code reviews and team design discussions

What we offer

Generous performance-based bonus plans
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting
Quarterly all-company wellness days
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program

Fulltime

Staff Machine Learning Engineer - Applied AI

The Applied AI team collaborates with product teams across Uber to deliver innov...

Location

United States , Sunnyvale, California; San Francisco, California; Seattle, Washington

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Masters degree or Ph.D in Computer Science, Engineering, Mathematics
8+ years of ML experience, including significant work on large-scale deep learning systems
Demonstrated ownership of high-impact ML systems in search, recommendations, or conversational AI
Deep expertise in transformers, retrieval systems, ranking, and embedding architectures
Strong experience with PyTorch and distributed training
Track record of influencing technical direction across teams
Strong product intuition and ability to connect model improvements to business outcomes

Job Responsibility

Own the end-to-end technical strategy for foundation models across Search, Recommendations, and Conversational AI
Drive architecture decisions that influence multiple product surfaces (Eats, Grocery, Retail, Mobility)
Lead cross-team initiatives spanning Retrieval, Ranking, Personalization, and LLM-powered assistants
Define long-term investment areas (build vs fine-tune vs partner models)
Mentor senior engineers and act as a technical multiplier across the org

What we offer

Bonus program
Equity award
401(k) plan
Various benefits

Fulltime

Senior Applied Machine Learning Engineer

We are looking for a Senior Applied Machine Learning Engineer to join the Live t...

Location

Germany , Berlin

Salary:

140000.00 - 150000.00 EUR / Year

Strava

Expiration Date

Until further notice

Requirements

Have worked on numerous machine learning problems and broken them down into incremental tasks
Have demonstrated solid interpersonal and communication skills, and collaborative approach to drive business impact across teams
Have experience building, shipping, and supporting ML models in production at scale
Have experience with exploratory data analysis and model prototyping, using languages such as Python or R and tools like Scikit learn, Pandas, Numpy, Pytorch, Tensorflow, Sagemaker
Have built and worked on data pipelines using large scale data technologies (like Spark, Hadoop, EMR, SQL, Snowflake)
Are experienced and interested in production ML model operational excellence and best practices, like automated model retraining, performance monitoring, feature logging, A/B testing
Have built backend production services on cloud environments like AWS, using languages like (but not limited to) Python, Scala, Go

Job Responsibility

Build for a Well Loved Consumer Product: Work at the intersection of AI and fitness to launch and optimize product experiences that will be used by tens of millions of active people worldwide
Own End to End AI Systems: Drive key projects powered by ML on the Strava platform end-to-end, from initial model prototyping to shipping production code to scaling and optimizing inference and deployment
Shape AI at Strava: Be a strong voice on a highly collaborative team with a range of experience levels. Work across teams to deploy ML solutions in multiple surfaces and build out our technical ML capabilities
Integrate and Collaborate with Product, Design, Client and Server engineers: Be excited about the impact and build Applied ML solutions anchored on the user experience
Innovate in AI for Fitness: Design and develop novel models and methodologies to take on novel problems that improve athlete experience, including mapping, routing, search and more
Build from a rich dataset: Explore and use Strava’s extensive unique fitness and geo datasets from millions of users to extract actionable insights, inform product decisions, and optimize existing features

What we offer

Offers Equity

Fulltime

Senior Machine Learning & AI Engineer

Cogniter Technologies is seeking a highly skilled Senior Machine Learning & AI E...

Location

India , Chandigarh

Salary:

Not provided

Cogniter Technologies

Expiration Date

Until further notice

Requirements

3+ years of hands-on experience in Machine Learning and AI development
Strong understanding of ML algorithms, statistics, optimization, and evaluation techniques
Proficiency in Python for data processing, modeling, and API development
Practical experience with PyTorch or TensorFlow
Strong expertise in dataset engineering and feature engineering
Proven experience deploying ML models into production environments
Solid understanding of Docker and backend system integration
Strong analytical thinking and problem-solving skills

Job Responsibility

Design, train, and optimize machine learning and deep learning models for structured and unstructured data
Build end-to-end ML pipelines including data ingestion, preprocessing, feature engineering, training, validation, and testing
Apply supervised, unsupervised, and semi-supervised learning techniques
Evaluate models using metrics such as precision, recall, F1-score, ROC-AUC, and other performance indicators
Perform hyperparameter tuning to improve accuracy, robustness, and generalization
Create, clean, augment, and manage large-scale datasets
Design synthetic or semi-synthetic data pipelines when labeled datasets are limited
Ensure data integrity, quality control, and proper dataset versioning
Collaborate with data teams to build efficient ETL and feature engineering pipelines
Develop and fine-tune deep learning models using PyTorch or TensorFlow

Fulltime

Senior Applied Machine Learning Engineer - Asset Intelligence

We are seeking a highly skilled and motivated Senior Applied Machine Learning En...

Location

United States , San Francisco

Salary:

Not provided

MaintainX

Expiration Date

Until further notice

Requirements

7+ years of experience in Machine Learning, Data Science, or Applied AI
Expertise in Python, and strong familiarity with PyTorch, TensorFlow, and cloud ML stacks (AWS, Databricks, or similar)
Proven experience deploying production ML systems at scale
Strong background in LLMs, time-series modeling, and anomaly detection for real-world data
Demonstrated ability to lead architectural decisions, mentor engineers, and collaborate across product, data, and platform teams
Knowledge of MLOps tooling (Docker, Kubernetes, Weights & Biases, MLflow, SageMaker)
Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field preferred

Job Responsibility

Lead technical direction for predictive maintenance, anomaly detection, and LLM-powered intelligence across MaintainX products
Architect end-to-end ML systems—from data ingestion and feature engineering to model training, deployment, and monitoring
Mentor a growing team of ML and data engineers, instilling best practices for experimentation, evaluation, and model lifecycle management
Partner with product and engineering leaders to align AI roadmap with customer needs and business goals
Design reliable data and feedback loops that connect customer telemetry and operator feedback to model retraining
Drive performance optimization through techniques like quantization, distillation, and scalable inference serving
Work with LLM frameworks (LangChain, LlamaIndex, Hugging Face) to build reasoning systems and agentic workflows for asset and work intelligence
Ensure ML infrastructure meets production standards for latency, reliability, explainability, and security

What we offer

Competitive salary and meaningful equity opportunities
Healthcare, dental, and vision coverage
401(k) / RRSP enrollment program
Take what you need PTO
A high impact Culture: You’ll work with Smart, Humble Optimists across the globe
Meritocratic environment where ideas and outcomes are publicly celebrated

Fulltime

Senior Applied Machine Learning Engineer - Asset Intelligence

We are seeking a highly skilled and motivated Senior Applied Machine Learning En...

Location

Canada , Montreal, Toronto, Vancouver

Salary:

Not provided

MaintainX

Expiration Date

Until further notice

Requirements

7+ years of experience in Machine Learning, Data Science, or Applied AI
Expertise in Python, and strong familiarity with PyTorch, TensorFlow, and cloud ML stacks (AWS, Databricks, or similar)
Proven experience deploying production ML systems at scale
Strong background in LLMs, time-series modeling, and anomaly detection for real-world data
Demonstrated ability to lead architectural decisions, mentor engineers, and collaborate across product, data, and platform teams
Knowledge of MLOps tooling (Docker, Kubernetes, Weights & Biases, MLflow, SageMaker)
Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field preferred

Job Responsibility

Lead technical direction for predictive maintenance, anomaly detection, and LLM-powered intelligence across MaintainX products
Architect end-to-end ML systems—from data ingestion and feature engineering to model training, deployment, and monitoring
Mentor a growing team of ML and data engineers, instilling best practices for experimentation, evaluation, and model lifecycle management
Partner with product and engineering leaders to align AI roadmap with customer needs and business goals
Design reliable data and feedback loops that connect customer telemetry and operator feedback to model retraining
Drive performance optimization through techniques like quantization, distillation, and scalable inference serving
Work with LLM frameworks (LangChain, LlamaIndex, Hugging Face) to build reasoning systems and agentic workflows for asset and work intelligence
Ensure ML infrastructure meets production standards for latency, reliability, explainability, and security

What we offer

Competitive salary and meaningful equity opportunities
Healthcare, dental, and vision coverage
401(k) / RRSP enrollment program
Take what you need PTO

Senior Machine Learning Engineer, Shopping AI

As the engine behind Zillow Group's mission to build a seamless digital real est...

Location

United States

Salary:

163200.00 - 274300.00 USD / Year

Zillow

Expiration Date

Until further notice

Requirements

3-5 years of experience in developing applications in search, personalized ranking, or recommender systems
Experience developing and deploying ML models that scale to high-traffic, latency sensitive customer-facing services (100s of millions of requests per day)
Strong programming skills in a high-level language such as Python or Java
Familiarity with common machine learning libraries like PyTorch, TensorFlow, Catboost, scikit-learn and huggingface (repository)
Expertise with large scale distributed data processing systems such as Hive, Spark, Airflow, or Databricks
Experience owning the full lifecycle of customer facing machine learning models, from offline experimentation and prototyping to online deployment, A/B testing, and performance monitoring

Job Responsibility

Design, build, and ship production new machine learning models that power core product features on the Zillow app, website, and email/push notifications
Re-architect our core home ranking and recommendation systems to support advanced neural networks and dramatically accelerate the pace of experimentation across surfaces
Own the full lifecycle of your models, from offline experimentation and prototyping with massive datasets to online deployment, A/B testing, and performance monitoring
Pioneer the application of cutting-edge deep learning and large language models (LLMs) to improve our home shopping experience
Develop new AI components that optimize how we display and when we recommend homes, ensuring we connect shoppers with the right content on the right properties at the right time
Collaborate in a cross-functional group of engineers, applied scientists, product managers, and designers to define, execute, and iterate on the team's strategic roadmap
Contribute to the team's engineering excellence by improving our machine learning infrastructure, development standards, and shared tooling
Act as a key technical voice, mentoring other engineers and helping to shape the long-term vision for artificial intelligence in the home shopping experience

What we offer

Equity awards

Fulltime

Senior AI and Machine Learning Engineer

Senior AI and Machine Learning Engineer. This role has been designed as ‘Hybrid’...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Typically, 9 -10 years’ experience
Deep understanding of machine learning algorithms, such as linear regression, decision trees, support vector machines, random forests, deep learning models (e.g., neural networks), and reinforcement learning
Strong foundation in mathematics and statistics
In-depth knowledge of linear algebra, calculus, probability theory, and statistical concepts
Proficiency in programming languages such as Python, R, or Java
Experience with popular machine learning frameworks and libraries like TensorFlow, PyTorch, or sci-kit
Proficiency in using agentic frameworks like langGraph or similar other frameworks
Knowledgeable in lineage tracking of agentic architectures
Knowledge of evaluation of traditional AI/ML and Gen-AI based applications - during development phase and in production

Job Responsibility

Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms
Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions
Develops, implements, and optimizes machine learning models and algorithms
Deploys machine learning models into production environments
Monitors the performance of deployed models, collects relevant metrics, and analyzes data to identify areas for improvement
Organizes and leads comprehensive design review sessions
Works collaboratively with the engineering manager and team lead to set design and implementation standards
Regularly leads meetings
Provides technical leadership, mentorship, and guidance to junior team members
Develops and delivers strategic presentations and reports to senior stakeholders

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

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Senior Machine Learning Engineer - Applied AI

Job Description

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