Senior Applied Scientist Job at Microsoft Corporation (Hyderabad)

New

Senior Applied Scientist

At T-Mobile Advertising Solutions, we're building privacy-first advertising prod...

Location

United States , New York

Salary:

116500.00 - 210100.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)
Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.) (Required)
4-7 years experience building and deploying machine learning and deep learning solutions at scale
familiarity with MLOps and DevOps practices and tools. (Required)
4-7 years Experience working within big data architecture, modern analytical data platforms, and large-scale data warehousing technologies (e.g. BigQuery, Snowflake, Redshift) (Required)
4-7 years Experience working with large-scale distributed data systems and cloud platforms (e.g. SQL, Python, Scala, AWS) (Required)
4-7 years Experience solving complex data, machine learning, or algorithmic challenges in production environment using modern engineering practices.(Required)
Strong background in AI/ML, data structures, statistical modeling, optimization algorithms, big data, and design thinking
Advanced knowledge of cloud-based services (GCP, AWS) and Python, PySpark and related Python libraries (e.g. pandas, scikit-learn, scipy, numpy) for advanced data science tasks
Hands-on implementation and architectural familiarity with streaming data, relational and non-relational databases, and distributed processing technologies

Job Responsibility

Lead the end-to-end development of machine learning and data products aligned to business objectives, from problem framing through deployment and monitoring
Build scalable data, training, and inference pipelines using distributed processing and cloud technologies
Apply statistical methods, experimentation, and validation frameworks to ensure solution quality and business impact
Write production-quality code and contribute to engineering best practices, including testing, CI/CD, and observability
Collaborate across engineering, product, and business teams while leading other engineers and data scientists

What we offer

Annual stock grant
employee stock purchase plan
401(k)
free, year-round money coaches
medical, dental and vision insurance
flexible spending account
paid time off and up to 12 paid holidays
paid parental and family leave
family building benefits
back-up care

Fulltime

Senior Applied Scientist

The Bing Places team is building intelligence that powers local search experienc...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Job Responsibility

Formulate complex product and engineering problems as machine learning and AI tasks, and drive them from concept through production
Design, implement, and evaluate ML‑ and LLM‑based models that improve Bing Places quality, relevance, and coverage
Conduct rigorous data analysis to understand system behavior, identify opportunities, and define success metrics
Prototype new modeling approaches and iterate quickly based on offline evaluation and online experimentation
Own experimentation pipelines, including offline validation and large‑scale online A/B flighting
Partner closely with engineers to integrate models into production systems and ensure long‑term reliability and performance
Drive technical direction within your problem space and influence broader modeling and platform decisions
Document and communicate results through technical design reviews, papers, and patent filings.

Fulltime

Senior Applied Scientist

Zalando Payments is looking for a Senior Applied Scientist to help us further de...

Location

Germany , Berlin

Salary:

Not provided

Zalando Lounge

Expiration Date

Until further notice

Requirements

You are experienced in productionizing ML algorithms, including data collection, model development, deployment, and monitoring
You are familiar with payments (wider fintech), risk, or fraud domain
You enjoy researching new ML methods that could improve model performance
You are interested in collaborating with different functional areas (operations, internal tool developers) to drive business outcomes
You think finding the “why” in datasets is the most interesting part of your job
You think about how to tackle experiments but also how to put those findings into production and generate value
You are coming from an analytics background, e.g. A/B testing, SQL

Job Responsibility

participate in the full ML lifecycle: data deep dives and gaining insights
and model creation, deployment, and monitoring
drive innovation and improve models through research, design and development of new ML features to create measurable business impact
develop and maintain scalable ML pipelines
make a substantial financial impact on Zalando’s business
engage with the wider applied science community at Zalando

What we offer

Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
2 paid volunteering days per year
Work from abroad for up to 30 working days a year
27 days of vacation a year to start for full-time employees
Family services, including counseling and support
Health and wellbeing options (including Wellhub, formerly Gympass)
Mental health support and coaching available
Drive your development through our training platform and biannual peer-to-peer review

Fulltime

Senior Applied Scientist

Have you ever wondered how Amazon launches and maintains a consistent customer e...

Location

India , Hyderabad

Salary:

Not provided

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

3+ years of building machine learning models for business application experience
PhD, or Master's degree and 5+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning

Job Responsibility

Lead and innovate in applying advanced NLP and LLM techniques to solve complex language translation challenges in e-commerce, driving product-level improvements for our international marketplaces. Drive innovation on Image and Video translation.
Architect and implement novel, scalable machine learning solutions that enhance translation quality evaluation and improve translation pipeline efficiency across multiple teams and systems.
Spearhead cross-functional collaborations to define strategic project requirements, establish organization-wide success metrics, and deliver high-impact solutions aligning with broader business objectives.
Drive comprehensive data analysis to uncover non-obvious insights in multilingual data, relaying findings into actionable strategies that influence product roadmaps and capabilities for language technologies.
Pioneer and implement modeling techniques for machine translation quality assessment and pipeline optimization, leading the team's scientific agenda. Invent new methodologies when existing approaches fall short, advancing the state-of-the-art.
Serve as a recognized expert in LLM applications for e-commerce translation, communicating complex concepts to diverse stakeholders including senior leadership. Influence organization-wide adoption of innovative approaches in language translation technologies.
Actively mentor team members, elevating scientific capabilities and fostering a culture of innovation and rigorous inquiry in machine translation and evaluation.

Fulltime

Senior Applied Scientist

Frontier Tuning is Microsoft’s AI customization platform that enables enterprise...

Location

United Kingdom , Multiple Locations

Salary:

74700.00 - 122600.00 GBP / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND advanced related experience (e.g., statistics predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND solid related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND some related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience
Experience contributing to research, open‑source systems, or production deployments involving model training or adaptation
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND extensive related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND advanced related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience

Job Responsibility

Design and develop methods to adapt foundation models (e.g., language, diffusion, or multimodal models) for enterprise‑specific tasks such as document understanding, workflow automation, or content generation
Contribute to one or more aspects of the post-training stack, including: Reinforcement learning or fine-tuning methods
Architectural or parameter‑efficient adaptation techniques
Inference‑time steering or controllability approaches
Tooling for evaluation, debugging, or model development
Privacy- or security‑preserving training techniques (e.g., differential privacy)
Harnesses
Implement and evaluate adaptation approaches under real‑world enterprise deployment constraints such as latency, safety, privacy, policy compliance, and compute efficiency
Partner with research and engineering teams to translate product or customer requirements into scalable model adaptation solutions
Explore post‑training techniques that improve domain specialization, tool use, planning, or agentic behaviors in enterprise environments

Fulltime

Senior Applied Scientist

As a Senior Applied Scientist, you will build and ship the AI/ML that powers the...

Location

France , Paris

Salary:

Not provided

Bsport

Expiration Date

Until further notice

Requirements

4+ years of experience building and shipping machine learning in production, including models that reached a real product and moved meaningful metrics
You think of yourself as a builder first, writing production-grade code and taking responsibility for getting models live rather than leaving them in a notebook
Genuine depth in modern machine learning, recommendation and personalization systems, embeddings, and forecasting
Fluent in Python and worked hands-on on ML solutions
Track record of taking work developing solutions, from an open problem to a validated solution running in production
Communicates with clarity and moves comfortably between technical peers and product stakeholders

Job Responsibility

Take end-to-end ownership of product-facing models, from problem definition and experimentation through to a deployed and dependable solution
Develop the AI&ML capabilities users experience directly, spanning personalisation, recommendations, LLM-powered and generative features, embeddings, and forecasting
See your work through to production rather than handing it over, partnering with Engineering on questions of deployment, latency, cost, and ongoing monitoring
Establish a clear definition of success for each initiative, designing the metrics and evaluation that demonstrate genuine product impact
Contribute to the technical direction of applied AI&ML at bsport
Support the development of fellow scientists and engineers, leading through the example of the work you deliver

What we offer

Attractive compensation package
Competitive salary packages based on your experience and role
Hybrid model with 3 days per week in the office
Up to 15 days of remote work from abroad each year
Specially discounted HelloCSE membership
Multicultural colleagues, after-work events, team-building & more

Fulltime

Senior Applied Scientist

Zalando Payments is looking for a Senior Applied Scientist to help us further de...

Location

Germany , Berlin

Salary:

Not provided

Zalando Sverige

Expiration Date

Until further notice

Requirements

experienced in productionizing ML algorithms, including data collection, model development, deployment, and monitoring
familiar with payments (wider fintech), risk, or fraud domain
enjoys researching new ML methods
interested in collaborating with different functional areas
thinks finding the "why" in datasets is the most interesting part of your job
thinks about how to tackle experiments and put findings into production
coming from an analytics background, e.g. A/B testing, SQL

Job Responsibility

participate in the full ML lifecycle: data deep dives and gaining insights
model creation, deployment, and monitoring
drive innovation and improve models through research, design and development of new ML features
develop and maintain scalable ML pipelines
make a substantial financial impact on Zalando's business
engage with the wider applied science community at Zalando

What we offer

Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
2 paid volunteering days per year
Work from abroad for up to 30 working days a year
27 days of vacation a year to start for full-time employees
Family services, including counseling and support
Health and wellbeing options (including Wellhub, formerly Gympass)
Mental health support and coaching available
Drive your development through our training platform and biannual peer-to-peer review

Fulltime

Senior Applied Scientist

We are looking for a Senior Applied Scientist with deep expertise in modern retr...

Location

United Kingdom , London

Salary:

73800.00 - 121300.00 GBP / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check

Job Responsibility

Advance Retrieval Science
Design and run experiments, define offline and online evaluation metrics, and develop scalable retrieval pipelines and models for enterprise-scale search systems
Drive Product Innovation
Partner with Engineering, PM and Design to translate product requirements and research advances into scalable and reliable retrieval infrastructure supporting Copilot Search, Chat and Agent experiences
Collaborate Across Microsoft
Work closely with Microsoft Research, Azure AI platform teams and product organizations to bring cutting-edge retrieval and ranking advances into large-scale production systems
Champion Customer Impact
Deeply understand user retrieval pain points and enterprise grounding challenges, and develop solutions that materially improve relevance, answer quality, freshness and personalization
Lead and Mentor
Provide technical leadership and mentorship to scientists and engineers working on retrieval, ranking and recommendation systems

What we offer

Other compensation

Fulltime

Select Country

Senior Applied Scientist

Job Description

Job Responsibility

Requirements

Nice to have

Looking for more opportunities?

Senior Applied Scientist

Senior Applied Scientist

Senior Applied Scientist

Senior Applied Scientist

Senior Applied Scientist

Senior Applied Scientist

Senior Applied Scientist

Senior Applied Scientist

Senior Applied Scientist

Our AI answers in your language