Software Engineer Staff - Data Scientist Job at Hewlett Packard Enterprise (Bangalore)

Staff Data Scientist, Inference - Customer Support

As a Staff Data Scientist working on Inference in CS, you will have the opportun...

Location

United States

Salary:

194000.00 - 240000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

9+ years of relevant industry experience (e.g. data scientist, tech lead, junior faculty)
Master’s degree or PhD in relevant fields
Strong fluency in Python, SQL
Familiarity with causal inference and experimentation and a desire to continue to learn
Proven ability to communicate clearly and effectively to audiences of varying technical levels
Proven mix of strong intellectual curiosity with high level of pragmatism and engagement with the technical community

Job Responsibility

Lead DS efforts building segmentation features for CS including data exploration, optimization and model prototyping
Work collaboratively with cross functional partners including software engineers, product managers, operations and research, to refine requirements for segmentation models, drive scientific decisions, and quantify impact
Develop simulations to validate the impact of potential product and operational changes to the business
Design and utilize new experiment frameworks to measure the effectiveness feature launches, even when A/B tests are infeasible
Regularly present work internally at monthly meetings to technical, engineering and product stakeholders to iterate and generate excitement on roadmap progress
Bring new ideas to the team which can improve the operational efficiency of customer support at airbnb

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Staff Backend Software Engineer, Insights

Cresta Insights: As a Staff full-stack engineer, with a backend focus, you will ...

Location

Romania , Bucharest; Cluj

Salary:

Not provided

Cresta

Expiration Date

Until further notice

Requirements

Proven experience as a Backend Engineer with a focus on database design and system architecture
Strong expertise in ClickHouse or similar columnar databases for managing large-scale, real-time analytical queries
Hands-on experience with Elasticsearch for indexing and searching large datasets
Proficient in backend programming languages such as Python, Go
Experience with RESTful API design and development
Solid understanding of distributed systems, microservices architecture, and cloud infrastructure
Experience with performance tuning, data modeling, and query optimization
Strong problem-solving skills and attention to detail
Excellent communication and teamwork abilities

Job Responsibility

Design, implement, and maintain backend services and APIs to support applications
Build and optimize data storage solutions using Postgres, ClickHouse and Elasticsearch to ensure high performance and scalability
Collaborate with cross-functional teams, including frontend engineers, data scientists, and machine learning engineers, to deliver end-to-end solutions
Monitor and troubleshoot performance issues in distributed systems and databases
Write clean, maintainable, and efficient code following best practices for backend development
Participate in code reviews, testing, and continuous integration efforts
Ensure security, scalability, and reliability of backend services
Analyze and improve system architecture, focusing on performance bottlenecks, scaling, and security

Lead Software Engineer Scientific Engine

Lead Software Engineer to manage a team of 4. As team lead, you will oversee: Th...

Location

France , Paris

Salary:

Not provided

Descartes Underwriting

Expiration Date

Until further notice

Requirements

1 year or more of technical management experience
Handling human interactions between tech and business
Experience mentoring a team of software engineers by unblocking complex situations and sharing best practices (code reviews, pair programming..)
Scoping and defining tech priorities according to roadmap and maintenance
Excellent communication skills, in both formal and informal settings, and in English and French
3 years of experiences as a software engineer or data scientist
Solid knowledge in Python
Solid engineering background: master in computer science, mathematics, physics or earth science
Experience optimizing and profiling python code
Experience in a microservices architecture

Job Responsibility

Contribute directly on the code base either individually, in pairs or more
Organize REX sessions to share the knowledge received with the rest of the team
Ensure compliance to internal standards and practices
Present the progress and goals
Contribute to the technical roadmap through architecture meetings, design documents
Lead & coach your engineer team to consistently deliver according to their roadmap
Provide expertise to help your team: Develop, optimize and update software for: Calculation of risk models
Data collection, preparation and visualization
Export of outputs adapted to users
Testing and validation of existing solutions

What we offer

Opportunity to work and learn with teams from the most prestigious schools and research labs in the world
Commitment from Descartes to its staff of continued learning and development (think annual seminars, training etc.)
Work in a collaborative & professional environment
Be part of an international team, passionate about diversity
Join a company with a true purpose – help us help our clients be more resilient towards climate risks
A competitive salary, bonus and benefits
You can benefit from a punctual home office days

Intermediate / Senior Software Engineer Scientific Engine (Python)

Due to our consistent growth, we are seeking to expand our Data, Software and De...

Location

France , Paris

Salary:

Not provided

Descartes Underwriting

Expiration Date

Until further notice

Requirements

Coaching or mentoring experience
Scoping and identifying solutions with business team
Handling human interactions between tech and business
Excellent communication skills, in both formal and informal settings, and in English and French
3 years or more of experiences as a software engineer or data scientist
Solid knowledge in Python
Solid engineering background: master in computer science, mathematics, physics or earth science
Experience optimizing and profiling python code
Experience in a microservices architecture
Good knowledge with Docker

Job Responsibility

Contribute directly on the code base either individually, in pairs or more
Organize REX sessions to share the knowledge received with the rest of the team
Ensure compliance to internal standards and practices
Present the progress and goals
Contribute to the technical roadmap through architecture meetings, design documents
Coach your collaborators to consistently deliver according to their roadmap
Provide expertise to help your team: Develop, optimize and update software for: Calculation of risk models
Data collection, preparation and visualization
Export of outputs adapted to users
Testing and validation of existing solutions

What we offer

Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence
Commitment from Descartes to its staff of continued learning and development (think annual seminars, training etc.)
Work in a collaborative & professional environment
Be part of an international team, passionate about diversity
Join a company with a true purpose – help us help our clients be more resilient towards climate risks
A competitive salary, bonus and benefits
You can benefit from a punctual home office days

Staff /Sr Staff/ Principal Engineer - Lakehouse

Balbix is the world's leading platform for cybersecurity posture automation. Usi...

Location

India , Bangalore; Gurgaon

Salary:

Not provided

Balbix

Expiration Date

Until further notice

Requirements

8+ years of experience in backend software development dealing with large scale applications involving large scale data
Proven experience in defining and improving application design and architecture
Drive to discover and learn the required new technologies
Exposure to state of the art technologies for large scale data systems
Proficiency in programming languages such as Python, Scala or Java
Hands-on experience with large scale technologies such as Apache Spark, Apache Flink, Cassandra
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
Bachelor's or Master's degree in Computer Science, Engineering, or related field
Excellent problem-solving and analytical skills
Strong communication and collaboration skills

Job Responsibility

Collaborate with product managers, data scientists, and other stakeholders to understand requirements and translate them into technical solutions
Design, develop, and deploy high scale systems using state of the art technologies
Build reliable, consistent and high throughput data services and interfaces
Mentor junior developers and contribute to knowledge sharing within the team
Help define and ensure the best practices and guidelines across the systems
Optimize and tune applications for performance and scalability
Troubleshoot and resolve issues in production environments

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

Staff Machine Learning Engineer

We are seeking a Staff Machine Learning Engineer to join our Foundation AI team....

Location

United States , Boston

Salary:

170000.00 - 230000.00 USD / Year

Whoop

Expiration Date

Until further notice

Requirements

Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience
7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems
Expertise in modern deep learning (e.g., transformers, state space models) and multimodal model training
Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
Experience building and scaling large datasets and training large models in distributed compute environments
Strong applied experience with representation learning, self-supervised methods, and fine-tuning for downstream applications
Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute
Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams
Passion for WHOOP’s mission to improve human performance and extend healthspan through science and technology

Job Responsibility

Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data
Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP’s core model capabilities
Develop scalable, distributed training pipelines for large models on high-performance compute environments
Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability
Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value
Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP
Serve as a technical mentor for other data scientists, sharing best practices in deep learning, large-scale training, and multimodal data integration
Ensure models adhere to WHOOP’s standards for ethical, transparent, and privacy-preserving AI

What we offer

competitive base salaries
meaningful equity
benefits
generous equity package

Fulltime

Sr. Staff ML Platform Engineer

Machine learning is the crucial enabler for every financial service that EarnIn ...

Location

United States , Mountain View

Salary:

360000.00 - 440000.00 USD / Year

EarnIn

Expiration Date

Until further notice

Requirements

Bachelor's or Master’s degree in Computer Science, Engineering, or a related field
8+ years of industry machine learning experience and excellent software engineering skills
Strong programming skills in Python, with familiarity in ML frameworks such as TensorFlow or PyTorch
Experience with ML cloud platforms such as AWS Sagemaker, Databricks, or GCP Vertex AI
Familiarity with data pipelines and workflow management tools
Strong communication and collaboration skills
Passion for learning and staying updated with the latest industry trends in machine learning and platform engineering

Job Responsibility

Design, build, and maintain a robust ML platform and tooling ecosystem that supports the entire machine learning lifecycle, from experimentation to production
Lead and mentor a team of ML engineers, deeply understanding their workflows to streamline model training, deployment, and monitoring, while ensuring reproducibility and consistency of results
Drive scalability, reliability, and cost efficiency of the ML platform, balancing performance with ease of use for scientists and engineers
Evaluate and adopt emerging technologies to continually advance the organization’s machine learning capabilities and maintain a competitive edge
Champion operational excellence, setting a high bar for engineering quality, reliability, and automation
Act as a catalyst for innovation, spearheading step-change improvements that unlock new opportunities for growth and efficiency

What we offer

equity and benefits

Fulltime

Software Engineer Staff - Data Scientist

Hewlett Packard Enterprise

Location:
India , Bangalore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
August 01, 2025

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Staff Data Scientist, Inference - Customer Support