Research Engineer - Safety System and Foundations Job at Meta (Bellevue)

Cleared Senior/Principal Systems Engineer - Nuclear Safety Assessment

We are seeking a dedicated R&D Systems Engineer with nuclear weapons experience ...

Location

United States , Albuquerque

Salary:

114000.00 - 227500.00 USD / Year

Sandia National Laboratories

Expiration Date

Until further notice

Requirements

Bachelor's degree in a relevant discipline and five (5) years of directly relevant experience, or an equivalent combination of directly relevant education and engineering or scientific experience that demonstrates the knowledge, skills, and ability to perform independent research and development
An active DOE Q clearance, or equivalent is required to start
High proficiency in foundational science and engineering principles, including safety-analysis methods such as fault-tree analysis, failure modes and effects analysis (FMEA), and margin quantification
Experience with systems engineering for nuclear or high-consequence weapons systems, including applying system-of-systems thinking to ensure end-to-end functionality
Proven ability to lead complex technical projects on schedule, mentor team members, and deliver high-quality products, with demonstrated leadership experience as a project manager, technical lead, principal investigator, or similar role
Understanding of nuclear surety and reliability requirements, including familiarity with nuclear weapon safety standards, related DOE orders, and the SNL nuclear weapon product realization process
Background in reliability engineering or advanced margin-quantification frameworks
Excellent technical writing and executive presentation skills
Proven ability to work on challenging engineering problems in a fast-paced, collaborative team environment requiring extensive cross-organizational teamwork

Job Responsibility

Independently review detailed technical documents and identify salient issues related to nuclear safety
Engage with weapon system, component design, assurance, and other surety organizations
Maintain awareness of issues related to design, development, production, maintenance, and dismantlement of weapon systems
Assess tests, materials, and components for adequacy against requirements
Evaluate procedures, product specifications, and standards for compliance
Lead independent safety assessments of nuclear weapon systems and components, analyzing responses under thermal, shock, vibration, and EMI/EMC environments
Define problem scope and requirements, develop technical approaches, and apply quantitative and qualitative methods (e.g., fault-tree, FMEA, margin quantification)
Design experiments or simulations to evaluate safety-critical subsystems, collaborating with system and test engineers to verify requirements
Develop analytical frameworks and digital models to support risk-informed decisions
Mentor junior engineers in safety-analysis techniques and review their deliverables for technical accuracy

What we offer

Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
Extraordinary co-workers
Some of the best tools, equipment, and research facilities in the world
Career advancement and enrichment opportunities
Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance

Fulltime

Research Engineer - Safety System, Evaluation and Foundation

Meta is seeking Research Engineers to join the Safety System and Foundations tea...

Location

United States , Menlo Park

Salary:

217000.00 USD / Year ▼

New

Research Engineer - Multimodal Embodiment Trust

Meta is seeking Research Engineers to join the Multimodal Embodiment Trust team ...

Location

United States , Menlo Park, CA

Salary:

257000.00 USD / Year ▼

New

Senior Software Engineer

As a Senior Research Engineer at Microsoft, you will advance Microsoft’s mission...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field and 4 or more years in applied ML or AI research and product engineering
Master’s degree and 3 or more years in applied ML or AI research and product engineering
PhD in a relevant field and 2 or more years with generative AI, LLMs, or related ML algorithms
Proficiency in Python and at least one deep learning framework such as PyTorch, JAX, or TensorFlow
Experience deploying Fine Tuned LLMs or multimodal models in live production environments
Experience shipping and maintaining production AI systems
Ability to meet Microsoft, customer, and government security screening requirements
Microsoft Cloud Background Check upon hire or transfer and every two years thereafter

Job Responsibility

Bringing State-of-the-Art Research to Products
Design and implement AI systems using foundation models, prompt engineering, retrieval-augmented generation, multi-agent architectures, and classic ML
Fine-tune large language models on domain-specific data and evaluate via offline and online methods such as A/B testing, telemetry, and shadow deployments
Build and harden prototypes into production-ready services using robust software engineering and MLOps practices
Drive original research and thought leadership (whitepapers, internal notes, patents)
convert insights into shipped capabilities
Research Translation: Continuously review emerging work
identify high-potential methods and adapt them to Microsoft problem spaces
End-to-End System Development
ML Design & Architecture: Own end-to-end pipeline from data prep, training, evaluation, deployment, and feedback loops

Fulltime

New

Senior Research Engineer

As a Senior Research Engineer at Microsoft, you will advance Microsoft’s mission...

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
Experience deploying Fine Tuned LLMs or multimodal models in live production environments
Experience shipping and maintaining production AI systems
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

Bringing State-of-the-Art Research to Products
Design and implement AI systems using foundation models, prompt engineering, retrieval-augmented generation, multi-agent architectures, and classic ML
Fine-tune large language models on domain-specific data and evaluate via offline and online methods such as A/B testing, telemetry, and shadow deployments
Build and harden prototypes into production-ready services using robust software engineering and MLOps practices
Drive original research and thought leadership (whitepapers, internal notes, patents)
convert insights into shipped capabilities
Research Translation: Continuously review emerging work
identify high-potential methods and adapt them to Microsoft problem spaces
End-to-End System Development
ML Design & Architecture: Own end-to-end pipeline from data prep, training, evaluation, deployment, and feedback loops

Fulltime

Assistant Manager – R&D Processing, Home Care Bars

To lead the process design strategy for Home Care (HC) Bars, focusing on innovat...

Location

India , Mumbai

Salary:

Not provided

Unilever

Expiration Date

Until further notice

Requirements

Bachelor’s degree in chemical engineering (BE/B.Tech/)
5–7 years of experience in Research and Development, preferably in NSD Bars formulation and processing
Proficiency in digital tools for data modeling, process efficiency, and measurement
Strong knowledge of process control and mechanical instrumentation
Experience with HAZOPs and safety approval systems
Skilled in MS Office (Excel, PowerPoint, Word), SAP, and SCADA
Demonstrated project management and problem-solving capabilities
Understanding of consumer action standards and process parameter optimization

Job Responsibility

Develop and execute Design of Experiments (DoE) to define material handling protocols and processing routes for innovation and cost-saving initiatives
Provide timely technical inputs across critical project workstreams
Lead manufacturing design lock for key technologies and ensure alignment with strategic objectives
Define safety foundations and proactively eliminate risks in accordance with the Safety in Manufacture and Supply Approval System (SIMAS) to secure project approvals
Drive capability building initiatives at AMC-Bars
Oversee installation and commissioning of plant equipment, author operating manuals, and conduct initial operator training
Collaborate with Supply Chain to evaluate and enhance return on investment (ROI) for projects
Ensure product quality through close coordination with Supply Chain teams
Conduct standard trials and tests for soaps and NSD bars at lab and pilot scales, supported by physical-chemical analysis
Plan, execute, and report main plant trials with comprehensive data analysis and technical documentation

Fulltime

New

Senior Applied Scientist

Microsoft Cloud Operations and Innovation (CO+I) underpins Microsoft’s global cl...

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.
Experience with Azure technology Stack
Experience with parameter‑efficient fine‑tuning techniques (e.g., LoRA) for LLMs or multimodal models.
Hands‑on experience building agentic or tool‑augmented LLM systems, including function calling, planners, and API/tool integration.
Experience with advanced RAG architectures, such as hybrid retrieval, reranking, grounding, and citation strategies.
Strong AIOps depth, including quality drift detection, alerting, rollback, and telemetry‑driven optimization.
Experience optimizing systems for latency, reliability, scalability, and cost efficiency at enterprise scale.
Prior experience working on mission‑critical or large‑scale enterprise AI systems.
Demonstrated mentorship or technical leadership within applied science or engineering teams.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.

Job Responsibility

Advance Applied AI Research to Improve Quality and Reliability
Apply deep expertise in Generative AI, deep learning, NLP, and multimodal models to translate cutting-edge research into high-impact, production-ready AI solutions.
Design and execute experiments that measurably improve agent planning, memory, grounding, reasoning, and long‑horizon task completion.
Perform lightweight fine‑tuning (e.g., LoRA and related techniques) on multimodal and large multimodal language models—to improve entity recognition, reasoning accuracy, and response quality.
Implement state‑of‑the‑art approaches using foundation models, advanced prompt engineering, RAG, knowledge graphs, and multi‑agent architectures, complemented by classical ML techniques where appropriate.
Build and Ship Scalable Agentic AI Systems
Architect and implement end‑to‑end agent workflows that decompose user intent into executable plans, intelligently select and invoke tools, and recover gracefully from errors and edge cases.
Rapidly prototype solutions and partner with engineering teams to drive production deployment, including debugging live systems and building AIOps workflows.
Use data and telemetry to identify AI quality gaps, generate insights, and deliver proofs of concept that apply research innovations to real‑world operational challenges.
Design robust multi‑step reasoning and tool‑use strategies, including function calling, code execution, APIs, and secure connectors, with strong safety and reliability guardrails.

Fulltime

AI Engineer

Do you want to join a fast-growing climate tech startup with real impact? At Cou...

Location

India , Bangalore

Salary:

40000.00 - 60000.00 USD / Year

Helpcare AI

Expiration Date

Until further notice

Requirements

MS/PhD in Computer Science, Electrical Engineering, Physics, or related field, or equivalent practical experience
3+ years of experience developing and deploying machine learning systems in production environments
Expert-level proficiency in Python, PyTorch/TensorFlow, and modern MLOps tools (MLflow, Kubeflow, etc.)
Strong background in time-series analysis, optimization algorithms, or computer vision
Experience with distributed computing frameworks (Ray, Dask, Spark) and cloud platforms (AWS, GCP, Azure)
Proficiency with transformer architectures and modern NLP libraries (Hugging Face Transformers, LangChain, etc.)
Experience building and deploying Retrieval-Augmented Generation (RAG) systems for technical documentation and knowledge management
Hands-on experience fine-tuning and deploying open-source foundation models (DeepSeek, Llama, Mistral, etc.)
Familiarity with vector databases (Pinecone, Weaviate, Chroma) and embedding models for semantic search applications

Job Responsibility

Design, implement, and deploy machine learning models for battery state estimation, degradation prediction, and performance optimization
Develop advanced time-series forecasting models for energy demand, supply, and pricing across diverse market conditions
Design and validate ML models for anomaly detection and failure prediction
Create reinforcement learning algorithms for optimal charging strategies, grid balancing, and energy arbitrage
Build robust data pipelines processing terabytes of sensor data from batteries, inverters, and grid connections
Develop monitoring and observability systems to ensure AI models maintain performance in production
Stay at the forefront of AI research, particularly in domains relevant to energy systems, physics-informed neural networks, and optimization
Collaborate with battery scientists and power electronics engineers to translate domain expertise into AI solutions
Publish research and represent Coulomb AI at top-tier conferences (NeurIPS, ICML, ICLR, IEEE Power & Energy)
Build novel architectures that incorporate physical constraints and energy system dynamics into neural networks

Fulltime

Research Engineer - Safety System and Foundations

Meta

Location:
United States , Bellevue

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 23, 2026

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