Senior Researcher - AI and Systems Reliability Job at Microsoft Corporation (Redmond)

Senior Generative AI Engineer

The Citi Innovation Lab is a leader in creating new ideas, innovative technology...

Location

Israel , Tel Aviv

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Hands-on experience with transformer-based models and their applications
Strong understanding of LLM, LLM model selection, benchmarking, and optimization
Experience with RAG systems and vector databases
Proficiency in developing and deploying AI agents
Knowledge of open-source models and methods, including benchmarks for evaluating AI performance
Knowledge of security risks and mitigation strategies for autonomous AI agents, including OWASP guidelines
Proficiency in Python and experience with libraries such as Pandas, Tabula, and TensorFlow/PyTorch
Strong problem-solving skills and attention to detail
Excellent communication and documentation skills

Job Responsibility

Develop and implement enterprise scale cutting edge models such as visual document understanding and text2code
Implement and Optimize vector-based retrieval systems for RAG by covering embedding models, ANN indexing, hybrid search, and re-ranking
Implement autonomous AI agents to implement adaptive, error resistant data extraction, and content validation tasks
Develop and deploy enterprise software applications using state of the art practices, such as micro services, modular code, as well as proficiency in writing unit and integration tests to ensure the accuracy and reliability of the AI applications
Ensure data privacy and security in all AI-driven processes, adhering to OWASP guidelines and Citi’s stringent authentication and authorization policies
Collaborate with cross-functional teams to integrate AI solutions into existing workflows
Document the development process and create comprehensive technical specifications
Manage and maintain AI applications, ensuring best practices in model management and versioning
Deploy resulting AI applications using industrial strength framework and processes, including Kubernetes and OpenShift for scalable and efficient operations on-premises
Ability to research and develop and utilize transformer-based models for enhanced application performance

Fulltime

Senior Staff Machine Learning Engineer (AI Agent)

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agent...

Location

United States; Canada

Salary:

Not provided

Cresta

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, Mathematics, or a related field
Master’s or Ph.D. preferred, or equivalent professional experience
7+ years of hands-on industry experience with AI and machine learning
3+ years of experience working with LLMs in large-scale production environments
Expert knowledge of machine learning concepts and methods, especially those related to NLP, Generative AI, and working with LLMs
Proven leadership in designing and deploying AI solutions at scale
Extensive practical knowledge of modern machine learning frameworks and technologies (e.g., PyTorch, Tensorflow, Hugging Face, NumPy)
Experience with distributed systems and cloud-based AI infrastructure
Strong problem-solving and strategic thinking abilities
Proven ability to lead cross-functional teams and work collaboratively to deliver innovative AI solutions in production

Job Responsibility

Design, develop, and deploy Cresta’s AI Agent solutions and proprietary models
Focus on practical AI challenges such as improving reasoning, planning capabilities, and evaluation in real-world scenarios
Collaborate with cross-functional teams including front-end and back-end software engineers to integrate AI Agents into Cresta’s customer solutions
Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases
Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta’s AI Agents
Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems

What we offer

Variety of medical, dental, and vision plans
Paid parental leave
Monthly Health & Wellness allowance
Work from home office stipend
Lunch reimbursement for in-office employees
PTO: 3 weeks in Canada
Base salary, equity, and a variety of benefits

Fulltime

Artificial intelligence-assisted Reliability Engineer Intern

Amazon development center develops innovative consumer-centric safety total solu...

Location

Taiwan , Taipei

Salary:

Not provided

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

Enrolled in or have completed a Master's degree or above in engineering or equivalent
Speak, write, and read fluently in Mandarin
Currently enrolled in a master’s program in Computer Science, Electrical Engineering, Chemical Engineering, Mechanical Engineering, or related field with focus on deep learning and computer vision
Programming experience in C++ and Python
Experience in implementing computer vision algorithms using multiple toolkits
Proficient in both English and Chinese

Job Responsibility

Develop and implement novel machine learning algorithms, focusing on computer vision and generative AI applications
Design and optimize scalable AI systems for large-scale datasets, ensuring high performance and accuracy
Apply state-of-the-art Machine Learning and AI research to solve complex reliability challenges and product lifespan projection
Create clear technical documentation and reports to effectively communicate concepts and results
Work closely with senior reliability engineers in reporting reliability execution progress, and failure analysis
Participate in evaluating and developing reliability test methodologies to reduce test time and increase test coverage

Parttime

Staff AI Embedded Software Engineer - Connected Devices

As a Staff Embedded Software Engineer, you will lead critical software engineeri...

Location

United States , Seattle; Boston; Scottsdale

Salary:

168750.00 - 270000.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

12+ years of professional software development experience, with extensive expertise in C/C++, Go, Python, or comparable systems programming languages, including significant experience building AI- and data-intensive systems
Deep, demonstrated expertise in embedded systems architecture, firmware integration, and device-level software engineering, combined with hands-on experience deploying and optimizing AI inference workloads on constrained edge platforms (MCUs, SoCs, NPUs)
Proven experience designing, training, and operating machine learning models at scale, including ownership of data pipelines, model evaluation, and iterative improvement in production environments
Practical experience with large-scale AI systems, including foundation models and LLMs, such as fine-tuning, adaptation, or integration into real-world products
Proven track record of addressing and resolving system-wide challenges in performance, scalability, reliability, security, and safety across AI-enabled and mission-critical systems
At least 7+ years mentoring senior engineers and leading complex, strategic engineering initiatives across multiple teams, including setting technical direction for AI-enabled products
Advanced understanding of computer science fundamentals, data structures, algorithms, and high-standard software design practices, applied to both embedded and large-scale AI systems
Experience with networking and distributed system concepts relevant to connected and AI-enabled devices

Job Responsibility

Define and significantly advance embedded software architectures for Axon’s current and future connected device products, including AI-enabled systems spanning on-device inference and cloud-assisted workflows
Lead the technical direction for AI-enabled capabilities across connected devices, including collaboration on large-scale model training, data strategy, deployment, and iterative improvement in production, across multiple product lines
Partner with research, product, and platform teams to explore and integrate emerging AI approaches, including foundation models and multimodal systems, shaping Axon’s medium and long-term AI strategy for connected devices
Establish and enforce Axon-wide standards for embedded software and AI system design, including reliability, scalability, safety, observability, and lifecycle management
Identify and mitigate risks associated with AI systems, including model failure modes, data drift, and operational edge cases, and drive architectural decisions that ensure safe and reliable behavior in real-world conditions
Provide executive-level guidance and mentorship, significantly enhancing the capabilities and technical decision-making of the embedded software engineering teams
Continuously improve software engineering practices and drive excellence through strategic retrospectives, planning sessions, and innovation cycles

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
Snacks in our offices

Fulltime

Senior Machine Learning Engineer, Agentic

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Bellevue; Menlo Park; New York; Washington; Denver; Westlake; Chicago; Lake Mary; Clearwater; Gainesville

Salary:

146000.00 - 220000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

Strong technical expertise in software development, with understanding of agentic workflows—including reasoning loops, tool invocation, memory, and orchestration of autonomous AI agents
Hands-on experience using Large Language Models, including prompt engineering, fine-tuning, model distillation, and deploying optimized models (e.g. via DPO, PPO) into production environments
Proven ability to build and scale ML/AI systems, from experimentation to deployment—owning dataset generation, evaluation pipelines, A/B testing, and performance monitoring
Leadership and mentorship capabilities, with a track record of guiding complex technical projects and supporting the growth of teammates through code/design reviews and technical direction
Excellent communication and collaboration skills, with the ability to translate technical ideas into actionable plans and work effectively with cross-functional partners, including product and infrastructure teams
Innovation mindset and commitment to continuous learning and a bias toward action, staying at the forefront of ML/AI trends, agentic systems research, and best practices in tooling, safety, and evaluation

Job Responsibility

Design and create tools and workflows for agent development that support rapid prototyping—define agents, compose toolchains, and construct reasoning loops with minimal overhead
Build platform solutions to support scalable experimentation, synthetic dataset generation, and multi-agent evaluation across diverse tasks and domains
Develop feedback and optimization pipelines that incorporate both automated metrics and human-in-the-loop evaluation signals to fine-tune agent behavior
Implement and scale optimization techniques such as Direct Preference Optimization (DPO), Proximal Policy Optimization (PPO), and reward modeling to improve agent performance
Launch and support fine-tuned models in production environments with robust evaluation, rollback strategies, and performance monitoring
Collaborate closely with applied AI/ML teams to translate state-of-the-art research in agentic reasoning, planning, and tool use into reliable, production-ready systems

What we offer

Market competitive and pay equity-focused compensation structure
100% paid health insurance for employees with 90% coverage for dependents
Annual lifestyle wallet for personal wellness, learning and development, and more
Lifetime maximum benefit for family forming and fertility benefits
Dedicated mental health support for employees and eligible dependents
Generous time away including company holidays, paid time off, sick time, parental leave, and more
Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits
Bonus opportunities
Equity

Fulltime

Software Engineer - PostgreSQL for AI Workloads

Microsoft’s Azure Data engineering team is leading the transformation of analyti...

Location

Spain , Barcelona

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND equivalent technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Proven technical engineering capabilities in systems-level engineering, including work on database engines, distributed systems, or backend infrastructure
Proficiency in one or more systems programming languages such as C, C++, or Rust
Experience working with PostgreSQL or similar engines at the extension, indexing, or query execution level
Demonstrated ability to design and deliver reliable, performant systems in a collaborative environment
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Job Responsibility

Design and implement AI-native capabilities in PostgreSQL, including vector indexing, semantic and full-text search operators, hybrid search patterns, and graph query features
Own or contribute to the design and implementation of major AI-native subsystems, from early technical exploration through production readiness, with guidance from senior engineers as appropriate
Build and enhance high-performance PostgreSQL extensions and core engine integrations using C, C++, or Rust, with a strong focus on performance, correctness, and maintainability
Contribute to end-to-end development, including performance analysis, debugging, tuning, operability, and service integration in cloud database environments
Work effectively in high-ambiguity problem spaces, evaluating technical tradeoffs through experimentation as patterns and best practices emerge
Collaborate closely with senior engineers, product managers, and AI researchers to translate requirements into scalable, intuitive, and reliable systems
Participate actively in technical design discussions, code reviews, and the evolution of engineering standards, while deepening understanding of PostgreSQL internals and systems design
Help shape the developer experience through APIs, control plane integration, and extensibility mechanisms
Learn, apply, and promote best practices for building reliable, observable, and operable systems in a production cloud database service
Stay informed and curious about research and industry trends in databases, search systems, graph systems, and AI-powered data platforms.

Fulltime

Staff AI Engineer

As a Staff AI Engineer, you will be a senior technical leader responsible for de...

Location

India , Hyderabad

Salary:

Not provided

Teradata

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
8+ years of experience building backend services, distributed systems, or data/AI platforms
Strong proficiency in Java, Go, or Python, with experience building large‑scale services
Deep understanding of distributed system design, scalability, fault tolerance, and cloud‑native architectures
Proven experience designing and operating production systems with SQL and NoSQL data stores

Job Responsibility

Lead the design and evolution of large‑scale, distributed AI systems that power Teradata’s AI platform and AI‑native products
Own end‑to‑end architecture for critical AI capabilities such as agentic workflows, RAG pipelines, vector search, semantic retrieval, and AI orchestration frameworks
Drive technical strategy and architectural consistency across multiple engineering teams
Design and implement production‑grade AI systems using LLMs, embeddings, vector databases, and agent‑based architectures
Build scalable, secure, and reusable platform services and APIs supporting AI workloads across the software development lifecycle
Define and implement guardrails for reliability, safety, governance, and cost control in enterprise AI systems
Partner with product management, architecture, research, and cloud platform teams to translate business requirements into scalable AI solutions
Influence roadmap decisions by providing deep technical insight, trade‑off analysis, and long‑term platform thinking
Act as a technical escalation point for complex system design, performance, and reliability challenges
Drive best practices for testing, observability, evaluation, and production readiness of AI systems

What we offer

People-first culture
Flexible work model
Focus on well-being
Inclusive environment

Fulltime

Senior Software Engineer- AI

Are you looking for an opportunity to work with the latest Azure offerings and p...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

7+ years of experience in Software Development
Strong programming expertise in one or more languages such as Python, Go, Java, or C#, with experience designing production-grade services and APIs
Experience building AI-powered applications, including integrating LLMs, implementing agent or Copilot workflows, and orchestrating multi-step AI interactions
Hands-on experience with LLM application frameworks and orchestration tools such as Semantic Kernel, LangChain, or similar agent frameworks
Familiarity with retrieval-augmented generation (RAG) architectures, vector databases, embeddings, and semantic search systems
Experience evaluating and improving model performance through prompt design, evaluation frameworks, fine-tuning, or feedback loops
Solid understanding of distributed systems concepts including scalability, reliability, observability, caching, and asynchronous processing
Experience deploying and operating AI workloads in cloud environments (preferably Azure), including containerized services and GPU-enabled infrastructure
Understanding of Responsible AI practices, including model governance, safety, privacy, and evaluation of AI behaviour in production systems
Ability to work across product, research, and engineering teams to translate product scenarios into scalable AI system architectures

Job Responsibility

Design, build, and operate scalable AI systems that power intelligent product experiences, including Copilot and agent-driven workflows
Architect and implement backend services that support multi-step AI interactions, including orchestration pipelines, context management, memory/state persistence, and tool execution
Integrate large language models (LLMs), APIs, and internal services to enable context-aware, human-in-the-loop experiences across customer scenarios
Build and maintain data and inference pipelines that support model training, fine-tuning, evaluation, and real-time inference across diverse data sources
Evaluate, benchmark, and tune AI/ML models (LLMs and traditional models) to meet product requirements for accuracy, latency, reliability, and safety
Implement robust retrieval, grounding, and knowledge integration mechanisms (e.g., RAG systems, semantic indexing, vector search) to power intelligent applications
Collaborate with product managers, software engineers, and researchers to translate product vision into production-ready AI capabilities and measurable outcomes
Ensure reliability, observability, and governance of AI systems, including monitoring model performance, data quality, and responsible AI practices
Build reusable platforms, APIs, and tools that enable teams to rapidly develop AI-powered features and self-service intelligent applications

Fulltime

Senior Researcher - AI and Systems Reliability

Microsoft Corporation

Location:
United States , Redmond

Category:
Research and Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 01, 2026

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