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

Senior AI and Machine Learning Engineer

We are seeking Senior AI/ML & Innovation Engineer who will be leading initiative...

Location

United States , Aguadilla

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, 7-10 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
A strong foundation in mathematics and statistics
Proficiency in programming languages such as Python, R, or Java
Strong understanding of GitHub CoPilot, Cursor, N8N, vibe coding, Windsurf, and similar technologies
Experience in Cloud Infrastructure (AWS, Azure, etc)
Knowledge of Open Source, Linux, etc
Understanding of Devops, SRE
Advanced knowledge and experience in deep learning

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
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
Has experience in providing 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

Senior Engineering Manager - AI/ML

Hewlett Packard Enterprise is looking for a Senior Engineering Manager - AI/ML t...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, engineering, data science, artificial intelligence, machine learning, or closely related quantitative discipline
7-15 years’ experience including 5 or more years of people management experience
Advanced Degree (Master’s or Ph.D.) strongly preferred
Strong problem-solving and analytical skills, with the ability to identify business opportunities, formulate strategies, and execute projects effectively
Excellent communication and presentation skills, with the ability to convey complex technical concepts to technical and non-technical stakeholders
Proven ability to manage multiple projects and priorities in a fast-paced environment, ensuring timely delivery and high-quality results
Experience with cloud platforms, big data technologies, and distributed computing frameworks is a plus
Strong understanding of data privacy, security, and ethical considerations in AI and machine learning
Strong technical expertise in AI and machine learning algorithms, models, and tools, with proficiency in programming languages such as Python or R
Demonstrated leadership and management skills, with experience in leading and mentoring AI and machine learning professional teams.

Job Responsibility

Develop software algorithms to structure, analyze and leverage structured and unstructured data
Use machine learning and statistical modeling techniques to improve product/system performance, data management, quality, and accuracy
Apply, optimize, and scale deep learning technologies and algorithms
Document procedures for installation and maintenance
Perform testing and debugging
Define and monitor performance metrics
Translate customer requirements and industry trends into AI/ML products and systems improvements
Develop and drive the organization’s AI and machine learning strategy
Identify new opportunities for AI and machine learning applications
Oversee complex AI and machine learning projects from conception to deployment

What we offer

Comprehensive suite of benefits supporting physical, financial, and emotional wellbeing
Personal and professional development programs
Career growth opportunities
Inclusive work environment.

Fulltime

Senior AI Engineer

This role will be tasked with applying machine learning/deep learning to the aut...

Location

United States , Belmont

Salary:

170000.00 - 210000.00 USD / Year

Volkswagen AG

Expiration Date

Until further notice

Requirements

6-8 years of professional experience post graduate degree preferred
4+ years' Deep Learning experience post graduate degree preferred
Master's Degree in Computer Science or equivalent
PhD Strongly Preferred
Strong knowledge of different machine learning algorithms
Proficiency in deep learning techniques and frameworks
Strong understanding of traditional machine learning algorithms and their applications
Expertise in computer vision, including object detection, image segmentation, and image recognition
Proficiency in NLP techniques, including sentiment analysis, text generation, and language understanding models
Experience with multimodal language modeling and applications

Job Responsibility

Applying machine learning/deep learning to the automotive industry
Maintaining and enhancing existing machine learning modules for autonomous vehicles
Designing and implementing new machine learning based approaches based on existing frameworks
Keeping up to speed with the state of the art of academic research and technology in the industry
Coordinating with engineers at the ICC and in Germany on the development of autonomous driving software
Transferring technologies and solutions to Volkswagen Group development divisions
Developing technical specifications and documentation
Representing Volkswagen Group in the technical community, such as at conferences

Fulltime

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...

Location

United Kingdom , Cambridge

Salary:

136000.00 - 261050.00 GBP / Year

Altos Labs

Expiration Date

Until further notice

Requirements

Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
6+ years of relevant post-PhD work experience in either an academic or industry setting
Proven experience developing and applying complex machine learning models
A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
Excellent scientific communication skills
Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
Proven experience applying sophisticated ML techniques to molecular and cell biological data sets

Job Responsibility

Pioneer novel machine learning methodologies and statistical frameworks
Contribute to setting the long-term technical vision and research strategy for a core domain within the Institute of Computation
Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
Design, implement, and optimize large-scale machine learning systems using modern frameworks and agile practices
Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
Lead the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation
Act as a key technical mentor to Machine Learning Scientists and Engineers

Fulltime

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...

Location

United States , Redwood City; San Diego

Salary:

260950.00 - 509450.00 USD / Year

Altos Labs

Expiration Date

Until further notice

Requirements

Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
6+ years of relevant post-PhD work experience in either an academic or industry setting
Proven experience developing and applying complex machine learning models
A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
Excellent scientific communication skills
Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
Proven experience applying sophisticated ML techniques to molecular and cell biological data sets

Job Responsibility

Pioneer novel machine learning methodologies and statistical frameworks
Contribute to setting the long-term technical vision and research strategy for a core domain
Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
Design, implement, and optimize large-scale machine learning systems
Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
Develop robust approaches for multi-modal data integration and cross-domain mapping
Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
Lead the full ML development lifecycle
Act as a key technical mentor to Machine Learning Scientists and Engineers

Senior Applied Machine Learning Engineer

Machine learning is integral to every financial service we provide. As we embark...

Location

United States , Mountain View

Salary:

232200.00 - 283800.00 USD / Year

EarnIn

Expiration Date

Until further notice

Requirements

Bachelor’s/Master’s in Computer Science, Engineering, or equivalent industry experience
4+ years of machine learning experience with strong software engineering skills
Proficiency in ML techniques (LLMs, deep learning, sequence, and tree-based models)
Advanced Python programming, SQL, and data manipulation skills
Experience with ML frameworks (TensorFlow, PyTorch) and cloud platforms (AWS Sagemaker, Databricks, GCP Vertex AI)
Excellent communication and collaboration abilities
A passion for continuous learning and personal growth in a dynamic work environment

Job Responsibility

Design, develop, A/B test, and deploy models while collaborating with data scientists to drive data-driven decisions
Enhance models by incorporating innovative features every quarter and leveraging the latest industry research
Monitor feature and model health, and communicate changes in model decisions
Explore and integrate advanced technologies, including deep learning and LLMs, in the risk domain
Lead by example to foster operational excellence and transformative change
Expand responsibilities as new products emerge

What we offer

equity and benefits

Fulltime

Senior Staff Machine Learning Engineer

Help design our AI platform and develop our next generation of machine learning ...

Location

United States , San Francisco

Salary:

216500.00 - 324500.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields
Experience emphasizing secure, large-scale, distributed system design, AI/ML pipeline development, and implementation
Extensive experience designing, developing, and operating scalable backend systems
Experience applying software engineering best practices such as domain-driven design, event-driven architectures, and microservices
Deep expertise in agentic workflows, AI evaluation solutions, prompt management, and secure AI development and testing practices
Strong knowledge of relational and document-based databases, data storage paradigms, and efficient RESTful API design
Experience establishing robust CI/CD pipelines, automated testing (unit and integration), and deployment practices
Strong leadership skills, including effective planning and management of complex projects, mentoring of team members, and fostering a collaborative, high-performing engineering culture
Excellent communicator, able to articulate complex technical concepts clearly to both technical and non-technical stakeholders
Bachelor's degree in Computer Science, Software Engineering, or a related technical field (preferred)

Job Responsibility

Design and implement AI platforms to enable scalable and secure access to LLMs from multiple model providers for diverse use cases
Design and implement agentic workflows, agentic tool ecosystems, and LLM prompt management solutions
Design, build, and optimize scalable model training, fine tuning, and inference pipelines, ensuring robust integration with production systems
Influence technical strategy and approach to developing embedding stores, vector databases, and other reusable assets
Lead initiatives to streamline ML and AI workflows, improve operational efficiency, and establish standardized procedures to achieve consistent, high-quality results across our AI systems
Design and develop backend services and RESTful APIs using Python and FastAPI, integrating seamlessly with ML pipelines and services
Take operational responsibility for team-owned services, including performance monitoring, optimization, troubleshooting, and participation in an on-call rotation
Collaborate with both technical and non-technical colleagues, including data and applied scientists, software engineers, product managers, and business stakeholders, to deliver reliable and scalable ML-driven products
Coach and mentor fellow ML engineers, promoting a culture of collaboration, continuous improvement, and engineering excellence within the team
Employ a diverse set of tools and platforms including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, Coralogix, and GitHub to build, deploy, and maintain scalable, highly available machine learning infrastructure

What we offer

Competitive pay
Comprehensive healthcare benefits
Financial assistance for things like hybrid work, family planning
Generous parental leave
Flexible time-off policies
Mental health and wellness resources
Learning, development, and recognition programs

Fulltime

Senior Software Engineer, Machine Learning and Artificial Intelligence

Mashgin is looking for a smart, driven engineer who’s fascinated by the latest d...

Location

United States , Palo Alto

Salary:

200000.00 - 300000.00 USD / Year

Mashgin

Expiration Date

Until further notice

Requirements

8+ years relevant coding experience
B.S. or higher in Computer Science or related field
Strong background in Machine Learning or Computer Vision
Excellent knowledge of either Python or C/C++

Job Responsibility

Developing solutions for real-world computer vision problems
Working with the product team to come up with innovative ways to collect large data sets for training AI systems or generating equivalent synthetic data
Finding the optimal balance between doing longer term research and applying research results to production code
Researching and building state-of-the-art ML/CV algorithms to analyze 2D/3D image data

What we offer

Excellent health, dental and vision insurance for you and your dependents
401k plan
Flexible PTO policy
Catered lunch in office with fully stocked snacks and beverages
Pet insurance for your fur babies
Voluntary life insurance plan
Competitive salary and options in a small, rapidly scaling company

Fulltime

Senior Machine Learning Engineer - Applied AI

Uber

Location:
India , Bangalore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 11, 2026

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Senior Machine Learning Engineer - Applied AI

Uber

Location:India , Bangalore

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Job Posted:April 11, 2026

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