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

New

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 ▼

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

Senior Machine Learning Engineer, Data for Embodied AI

The goal of this role is to build, scale, and optimise next-generation world mod...

Location

United Kingdom , London

Salary:

Not provided

Wayve

Expiration Date

Until further notice

Requirements

Experience in ML engineering, data engineering, or applied ML roles focused on large-scale data systems
Proven experience building and maintaining large-scale data pipelines for machine learning, including data ingestion, transformation, and validation
Strong Python fundamentals and experience with modern ML and data frameworks (e.g. PyTorch, Ray, Dask, Spark, or equivalent)
Solid understanding of multimodal data (video, lidar, sensor telemetry) and its challenges in large-scale training
Experience defining and tracking data quality metrics, conducting dataset analysis, and driving data-informed improvements in model performance
Demonstrated ability to work collaboratively with ML researchers, platform engineers, and product teams in a fast-paced, experimental environment
Strong problem-solving skills, a data-driven mindset, and the ability to translate research needs into reliable data solutions

Job Responsibility

Design and implement large-scale data acquisition, processing, and curation pipelines, owning the full lifecycle of high-quality datasets used to train advanced robotics and foundation models
Continuously improve dataset quality and utility through sophisticated data analysis, debugging, and experimentation
developing metrics, tests, and monitoring mechanisms that directly drive model performance improvements
Develop and scale multimodal data pipelines for ingestion, preprocessing, filtering, annotation, and storage across video, LiDAR, and telemetry modalities
Run systematic experiments on data ablations and composition to assess their impact on model training dynamics, generalisation, and downstream performance
Collaborate with ML researchers and platform engineers to ensure datasets are fit for purpose and efficiently integrated into large-scale training workflows
Build internal tools and workflows for dataset auditing, visualization, and versioning to streamline iteration and reproducibility
Advance best practices for data governance, reliability, and scalability across the data lifecycle
ensuring data safety, privacy, and long-term maintainability

Senior Machine Learning Engineer, Data for Embodied AI

The goal of this role is to build, scale, and optimise next-generation world mod...

Location

United Kingdom , London

Salary:

Not provided

Wayve

Expiration Date

Until further notice

Requirements

Experience in ML engineering, data engineering, or applied ML roles focused on large-scale data systems
Proven experience building and maintaining large-scale data pipelines for machine learning, including data ingestion, transformation, and validation
Strong Python fundamentals and experience with modern ML and data frameworks (e.g. PyTorch, Ray, Dask, Spark, or equivalent)
Solid understanding of multimodal data (video, lidar, sensor telemetry) and its challenges in large-scale training
Experience defining and tracking data quality metrics, conducting dataset analysis, and driving data-informed improvements in model performance
Demonstrated ability to work collaboratively with ML researchers, platform engineers, and product teams in a fast-paced, experimental environment
Strong problem-solving skills, a data-driven mindset, and the ability to translate research needs into reliable data solutions

Job Responsibility

Design and implement large-scale data acquisition, processing, and curation pipelines, owning the full lifecycle of high-quality datasets used to train advanced robotics and foundation models
Continuously improve dataset quality and utility through sophisticated data analysis, debugging, and experimentation
developing metrics, tests, and monitoring mechanisms that directly drive model performance improvements
Develop and scale multimodal data pipelines for ingestion, preprocessing, filtering, annotation, and storage across video, LiDAR, and telemetry modalities
Run systematic experiments on data ablations and composition to assess their impact on model training dynamics, generalisation, and downstream performance
Collaborate with ML researchers and platform engineers to ensure datasets are fit for purpose and efficiently integrated into large-scale training workflows
Build internal tools and workflows for dataset auditing, visualization, and versioning to streamline iteration and reproducibility
Advance best practices for data governance, reliability, and scalability across the data lifecycle
ensuring data safety, privacy, and long-term maintainability

Lead AI Engineer

Linnify is a global technology partner that helps visionary companies accelerate...

Location

Romania , Cluj-Napoca

Salary:

Not provided

Linnify

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience in AI/ML engineering, with at least 2 years building agentic or generative AI applications
Proven experience leading complex AI initiatives in production, from architecture through deployment
Deep expertise with LangChain, LangGraph, or OpenAI Agents and agentic workflows
Strong understanding of foundation models, LLMs, and orchestration challenges
Hands-on experience designing and deploying Retrieval-Augmented Generation (RAG) systems
Experience with fine-tuning LLMs using supervised or reinforcement learning approaches
Strong understanding of vector search systems (e.g., Pinecone, Weaviate, FAISS, Qdrant)
Experience with evaluation pipelines and model monitoring in production environments
Excellent communication skills and ability to lead cross-functional technical discussions
Languages: Python (required), familiarity with JS/TypeScript is a plus

Job Responsibility

Architect and lead development of AI-powered applications, especially those using agentic and LLM-based architectures
Own and evolve end-to-end AI workflows, including RAG pipelines, prompt orchestration, tool usage, and safety layers
Design and implement multi-agent systems with planning, delegation, memory, and inter-agent communication
Oversee fine-tuning of foundational models for downstream tasks in various domains
Define and monitor evaluation strategies to assess model performance, consistency, and reliability in production
Lead implementation of prompt safety, content moderation, and guardrails across AI components
Guide the integration of OCR and data extraction flows to process unstructured data
Provide technical leadership across AI initiatives and mentor mid-level and junior engineers
Collaborate with product and design teams to shape scalable, production-ready ML solutions
Stay up to date with AI research and tools, balancing innovation with production readiness

What we offer

Flexible work schedule and remote work days
ESOP (Employee Stock Ownership Plan) so that you grow with us
Additional loyalty vacation days (up to 28 total vacation days based on experience and time with us)
Health package via Regina Maria Clinic
Meal tickets (40 RON/day)
Discounted gym subscription
Access to role-specific certifications/courses
Regular team knowledge-sharing sessions and mentoring opportunities
Clear visibility into your progress and opportunities for advancement
Top-tier gear: Receive your own MacBook for high-performance development

Fulltime

Senior Software Engineer

The Wikimedia Foundation is looking for the software engineer to join the Produc...

Location

United States of America , San Francisco

Salary:

141352.00 - 175725.00 USD / Year

Wikimedia Foundation

Expiration Date

Until further notice

Requirements

4+ years related professional experience
Experience building and maintaining large-scale applications
Proficiency in PHP, Javascript and relational databases
Strong foundation in security principles
Experience in driving cross-teams objectives
Experience in driving user and product impact

Job Responsibility

Proactively develop and maintain tools that empower communities to identify, mitigate, and prevent various forms of abuse across Wikimedia projects
Design privacy-conscious systems that detect behavioral patterns indicative of abuse while minimizing false positives and respecting user anonymity
Continuously adapt abuse detection and mitigation strategies in response to changes in browser privacy standards, networking protocols, and platform architecture
Collaborate cross-functionally with product managers, designers, and researchers to create holistic, human-centered solutions that balance safety and freedom
Write resilient, maintainable systems and high-quality code with a focus on long-term sustainability
Implement observability to maintain high levels of quality and system stability
Instrument and measure the impact of anti-abuse across Wikimedia projects

Fulltime

New

Product Designer II, Platform

We’re not just building better tech. We’re rewriting how data moves and what the...

Location

Canada

Salary:

148100.00 - 174000.00 USD / Year

Confluent

Expiration Date

Until further notice

Requirements

3+ years of experience as a Product Designer / UX Designer working on web-based products, ideally in B2B or SaaS
Demonstrated experience designing data-heavy or analytical interfaces, including thoughtful use of charts, tables, and information hierarchy
Experience collaborating closely with product managers and engineers to ship features from discovery through implementation and iteration
Comfort using and extending a design system, and working with shared patterns across multiple surfaces or product areas
A portfolio that clearly explains your design process, problem framing, options explored, and the impact of your work
Strong communication skills and a low-ego, collaborative working style
you enjoy pairing with others, learning from feedback, and adapting your approach
Based in Canada, with the ability to work effectively with North America–based and Europe-based teams and occasional travel for team onsites (1–2 times per quarter)

Job Responsibility

Designing foundational, reusable patterns (navigation, resource management, settings, dashboards) that appear across Confluent Cloud
Tackling complex, system-level UX problems where reliability, safety, and clarity are critical
Working on data-rich, configuration-heavy experiences, where good data visualization and information architecture are key
Design end-to-end flows and interfaces for platform experiences such as observability, billing, and monetization
Create clear data visualizations (dashboards, charts, tables, timelines) that help users understand the state and health of their systems, usage, and configurations
Work within and contribute to Confluent’s design system, ensuring consistency across multiple product areas while evolving patterns as the platform grows
Participate in discovery and research with PMs, Eng partners, and user researchers: framing problems, mapping journeys, exploring concepts, and running or supporting usability tests
Turn complex technical and business requirements into simple, approachable UX for the Developer and the Operators personas
Collaborate in a highly cross-functional, global environment, aligning with adjacent teams and representing user needs in planning and prioritization
Show up as an easy-going, humble, and collaborative teammate: open to feedback, generous with your own, and focused on collective outcomes over individual ego

What we offer

Remote-First Work
Robust Insurance Benefits
Flexible Time Away
The Best Teammates
Experience Ambassadors
Open and Honest Culture
Well-Being and Growth
Offers Equity

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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