Member of Technical Staff, Modeling Job at Cohere

Member of Technical Staff, Agents Modeling

We’re looking for an experienced machine learning researcher / engineer who can ...

Location

United States , New York

Salary:

Not provided

Cohere

Expiration Date

Until further notice

Requirements

Have a PhD in computer science or related field or similar industry research experience
Strong software engineering skills
Proficiency in Python and experience with ML-related code (e.g., pytorch, numpy, etc.)
Experience with LLMs and agentic frameworks
Experience with post-training LLMs (SFT, PEFT, or RL*)
Experience with building synthetic data generation pipelines

Job Responsibility

Design and develop novel agentic solutions
Improve upon SOTA on hard agentic tasks
Research the next-generation of on-line learning-from-experience self-improvement
Work with partner teams (Reasoning, Post-training, Pre-training, etc.) to improve performance of agentic system
Work with an amazing team of researchers and engineers pushing the boundaries

What we offer

An open and inclusive culture and work environment
Work closely with a team on the cutting edge of AI research
Weekly lunch stipend, in-office lunches & snacks
Full health and dental benefits, including a separate budget to take care of your mental health
100% Parental Leave top-up for up to 6 months
Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
6 weeks of vacation (30 working days!)

Fulltime

Member Of Technical Staff - Security Engineer

Copilot is becoming an agentic system: it can plan, reason, and take actions acr...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Statistics, Mathematics, Computer Science, or related field AND 3+ years of experience OR Master’s Degree AND 4+ years of experience OR Bachelor’s Degree AND 6+ years of experience in security engineering, secure software development, large-scale computing, threat modeling, or applied security analytics, including experience designing or building systems to detect, prevent, or mitigate security threats, or equivalent experience.

Job Responsibility

Design and build secure, high‑performance platform components that support Copilot’s agentic workflows across cloud and device environments
Develop novel security mechanisms for agentic AI systems, including real‑time intent validation, information‑flow controls, isolation boundaries, and abuse‑resistant orchestration
Eliminate entire classes of vulnerabilities by creating secure‑by‑default APIs, sandboxing layers, and hardened system interfaces
Build and operate offensive security tooling and agents that continuously probe Copilot’s autonomy, reasoning paths, and trust boundaries
Partner closely with AI researchers, platform engineers, and product teams to translate research and prototypes into production‑ready security features
Write high‑quality, well‑tested code across backend services, platform layers, and AI‑adjacent systems
Use telemetry, signals, and data‑driven analysis to detect abuse, anomalous agent behavior, and emerging threat patterns
Navigate ambiguity, make sound engineering tradeoffs, and ship iteratively in a fast‑paced product environment
Contribute to a culture of high ownership, technical excellence, and inclusive collaboration.

Fulltime

Member of Technical Staff, Microsoft Robotics

Overview Microsoft’s Discovery and Quantum (MDQ) division develops and delivers...

Location

United States , Redmond

Salary:

165600.00 - 296400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements is 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

Own the multi-year technical architecture for the Microsoft Robotics platform, setting the direction the broader engineering organization, partners, and customers build on, and holding that architecture coherent as it scales across teams and deployments.
Make the foundational design decisions that determine how robotics software, AI models, and cloud and edge components fit together, defining the core interfaces and engineering contracts other teams depend on.
Architect systems that meet demanding real-world constraints, balancing latency, throughput, compute efficiency, reliability, and cost across cloud and on-robot edge environments.
Lead the evaluation and validation strategy that gates what ships, establishing the benchmarks, test approach, and quality bar for autonomy, safety, and task performance across simulation, lab, and field, including safe-autonomy boundaries and human-in-the-loop fallback.
Drive the hardest cross-stack technical problems personally, taking on the integration failure modes that emerge where AI models meet production robots, and resolving them through rigorous root-cause analysis of system behavior and field data.
Connect classical robotics engineering with modern AI, partnering across foundation-model, perception, manipulation, locomotion, and simulation teams to bring learned capabilities into a common, production-grade platform rather than one-off integrations.
Establish the engineering bar for the team, owning design standards and review practices, leading the consequential technical reviews, and lifting the quality, testability, and operability of the systems that matter most.
Influence direction across MDQ, Microsoft Research, Azure, hardware and silicon partners, and customers without relying on formal authority, building technical consensus and aligning many teams on a single coherent platform strategy, including representing the platform in the open-source and standards community.
Multiply the team's output through technical leadership, mentoring senior and principal engineers and raising the technical ceiling of the organization rather than only its headcount.
Track the state of the art across embodied AI, robot learning, robotics middleware, and simulation, and decide deliberately how and when new techniques are incorporated into the platform.

Fulltime

Member of Technical Staff, Microsoft Robotics (Software Systems)

Microsoft's Discovery and Quantum (MDQ) division develops and delivers advanced ...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, or Python OR equivalent experience
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, build, and operate the observability and monitoring infrastructure for the Microsoft Robotics platform, including telemetry pipelines, distributed tracing, alerting, dashboards, and health models that span cloud services on Azure and edge/on-robot components running in partner environments
Instantiate the core incident response and reliability capabilities for production robotics workloads, to include defining Service Level Indicators (SLIs)/Service Level Objectives (SLOs), building automated detection and remediation, conducting post-incident reviews, and driving systemic improvements that prevent recurrence across the fleet
Engineer production-grade deployment and release pipelines for robotics software, including safe rollout strategies for edge/on-robot updates, canary deployments, rollback automation, and stage-gated release processes that enforce safety and quality checks before software reaches physical systems
Build and maintain the secure-by-design infrastructure for cloud-to-edge communication, including certificate management, secure boot chains, encrypted telemetry channels, and access controls for remotely managed robotic systems
Partner with platform, autonomy, and simulation engineers to instrument new capabilities with production-quality logging, metrics, and tracing from day one, embedding operational readiness into the development lifecycle rather than retrofitting it
Develop capacity planning models and performance baselines for robotics workloads, identifying scaling bottlenecks in data ingestion, model inference, simulation execution, and real-time control loops before they impact partner deployments
Contribute to eventual on-call rotations and build the runbooks, escalation paths, and operational documentation that enable the broader team to support production systems confidently

Fulltime

Member of Technical Staff, Microsoft Robotics (Robot Learning)

Microsoft's Discovery and Quantum (MDQ) division develops and delivers advanced ...

Location

United States , Redmond

Salary:

102100.00 - 202200.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
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

Develop and train end-to-end robot learning models, including vision-language-action (VLA) family of models, imitation learning policies, and reinforcement learning agents for manipulation, locomotion, and navigation tasks
Build, maintain, and optimize data pipelines for robot learning, including collection infrastructure for teleoperation demonstrations, data preprocessing, augmentation, quality filtering, and dataset versioning
Train machine learning and deep learning models on GPU computing clusters, implementing distributed training, hyperparameter optimization, curriculum learning, and training infrastructure automation
Deploy trained models to physical robot platforms, conducting real-world evaluation, debugging sim-to-real transfer issues, and iterating on model performance based on deployment feedback
Implement and maintain evaluation frameworks for robot learning models, including standardized task benchmarks, success rate tracking, generalization testing across objects and environments, and regression detection
Collaborate with robotics researchers, simulation engineers, and platform engineers to improve the end-to-end model development lifecycle, from data collection through deployment and monitoring
Write production-quality code in Python (including NumPy, PyTorch, JAX) that is well-tested, maintainable, and extensible, adhering to team coding standards and best practices
Review code and technical designs, providing feedback to develop other engineers' skills and drive adherence to coding patterns, security practices, and engineering excellence standards
Stay current with state-of-the-art research in robot learning, foundation models for robotics, and physical AI, evaluating new model technologies and techniques for adoption and integration into the platform
Contribute to internal knowledge sharing through technical documentation, brown bag sessions, blog posts, and mentoring of team members

Fulltime

Member of Technical Staff, Microsoft Robotics (Robotics Simulation)

Microsoft’s Discovery and Quantum (MDQ) division develops and delivers advanced ...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
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 build automated pipelines for converting reality capture data (photogrammetry, LiDAR point clouds, depth camera scans, 360-degree imagery) into physics-ready 3D simulation assets with accurate geometry, collision meshes, material properties, and articulation definitions.
Develop and maintain toolchains for physics-ready 3D asset generation, including mesh optimization, UV unwrapping, PBR material assignment, collision hull generation, mass/inertia parameter estimation, and annotation of semantic and functional properties.
Integrate reality capture hardware and software workflows (e.g., NeRF, Gaussian splatting, structured light scanning, photogrammetry reconstruction) with the simulation platform’s asset ingestion pipeline.
Build 3D reconstruction workflows that enable rapid creation of simulation environments from real-world facility scans, supporting robotics deployment planning, testing, and validation.
Create and maintain asset toolchains supporting industry-standard formats (USD/OpenUSD, glTF, FBX, OBJ) with appropriate physics and simulation metadata for import into robotics simulation engines.
Develop synthetic data generation pipelines that leverage high-fidelity 3D assets to produce training data for perception, manipulation, and navigation models, including domain-randomized variations of materials, lighting, object placement, and camera viewpoints.
Collaborate with robotics engineers, ML researchers, and perception scientists to define asset fidelity requirements, validate simulation-to-reality visual and physical accuracy, and iterate on asset quality based on downstream model performance.
Implement quality assurance and validation workflows for 3D assets, including automated checks for mesh integrity, physics parameter consistency, rendering fidelity, and simulation stability.
Review code and technical designs to ensure adherence to team standards for 3D pipeline performance, asset management, and data integrity.
Remain current in 3D reconstruction, neural rendering, and asset generation research, proactively evaluating new techniques (e.g., generative 3D models, neural radiance fields, 3D Gaussian splatting) for integration into the platform.

What we offer

Certain roles may be eligible for benefits and other compensation.

Fulltime

Member of Technical Staff, Microsoft Robotics (Creative Design)

We are hiring a Member of Technical Staff, Microsoft Robotics (Creative Design),...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Industrial Design, Product Design, Human Computer Interaction, User Experience, Interaction Design, or related field AND 5+ years experience working in product or service design
OR Master's Degree in Industrial Design, Product Design, Human Computer Interaction, User Experience, Interaction Design, or related field AND 4+ years experience working in product or service design
OR equivalent experience (e.g., demonstrated experience working in product or service design or using design thinking to solve problems)
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.

Job Responsibility

Design end-to-end fleet management and mission operations experiences
Create wireframes, journey maps, user scenarios, task flows, and personas
Develop interaction models for multi-robot coordination workflows
Produce visual designs from concept to delivery
Build and validate interactive prototypes
Collaborate with program managers, software engineers, and robotics engineers
Contribute to and drive adoption of design system components
Communicate a compelling product story to leadership
Estimate design schedules, define and prioritize product design plans
Leverage ideation methodologies to lead design solutions

What we offer

Certain roles may be eligible for benefits and other compensation.

Fulltime

Member of Technical Staff (Audio)

At Microsoft AI (MAI), we are at the forefront of technological innovation, crea...

Location

Switzerland , Zürich

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master’s degree in computer science OR equivalent technical experience

Job Responsibility

Model Training & Evaluation: Design and maintain training data “recipes” and develop evaluation frameworks
Training & Inference Optimization and Scaling: Optimize end-to-end training and inference performance
Collaboration: Work closely with other members of the AI research team
Culture & Values: Actively contribute to a positive, inclusive, and collaborative team culture

Fulltime

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Member of Technical Staff, Modeling

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