Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection.
We are looking for a research engineer to assess the risks of complex industrial equipment and systems, and to develop risk mitigation and loss prevention methodologies accordingly.
Responsibilities
The researcher will join the equipment and material science team of FM Research in Norwood, MA, closely working with team members and under the general guidance of an FM team lead. The research engineer is expected to bring solid engineering and/or research experience and support research proposals.
Responsibilities include:
Review loss data in various formats and develop trends and insights for major industrial equipment such as gas turbines, steam turbines, wind turbines, generators, transformers, boilers and pressure vessels, and other rotating or stationary heavy-duty machinery in high hazard industries and renewable industries.
Work closely with the team lead, staff engineering, and operation engineering to support understanding of contributing factors and root causes of major equipment losses as needed, provide expert input on technical issues and engineering risk assessment.
Assess/evaluate risk mitigation technologies and develop in-house methodologies, to prevent or reduce equipment loss, including tools or job-aids using physics-based and/or data analytics driven approaches.
Support the development and revisions of relevant FM Operating Standards.
Develop, operate, maintain, and troubleshoot tools and testing setups including equipment, devices, instrumentation, network, and software, for various electromechanical applications such as equipment condition monitoring.
Support the development of condition monitoring experiments and test cases using various hardware and software-based methods, to evaluate system efficacy and emulate/simulate/analyze faulty or failure conditions of complex equipment and engineering systems.
Develop solid and fluid mechanics models (FEA and/or CFD) as needed to assess thermal and mechanical properties of systems, components, and material coupons.
Lead or support experimental works for the evaluation of mechanical properties of systems, components, and coupons, interpret and evaluate test results.
Develop research technical reports or memos under the guidance of technical lead.
Propose and develop feasible, relevant, and value-added research topics or project ideas including potential collaborations with internal and external entities.
Qualifications
Doctoral degree in mechanical engineering (or other fields of science and engineering with the right experience / exposure) with at least 5 years of industrial experience or a Master degree with at least 10 years of industrial experience, in the field of mechanical engineering, preferably rotating machinery.
Strong hands-on knowledge and experience in several engineering functions related to industrial equipment including product design, analysis, testing, operation, maintenance, inspection, continuous monitoring, and troubleshooting. The focus is placed on turbines, generators, transformers, boilers and pressure vessels, electromechanical systems, HVAC systems, and other rotating or stationary equipment, as well as the complex systems/processes consist of these machines and associated peripherals and accessories.
Strong engineering fundamentals such as heat transfer, thermodynamics, fluid dynamics, engineering mechanics especially vibration/dynamics and mechanics of failure, at material, component, and system levels, engineering design and analysis with software and programming, as well as instrumentation and experimentation.
Knowledge and experience in data modeling/analytics including physics or rule-based methods, statistical methods, machine learning and AI methods, for applications in risk assessment, risk differentiation, fault detection and diagnostics, etc.
Strong accountability, through strength in attention to details, problem-solving, result delivery, and sufficient project management skills.
Strong self-driven work ethics and work under general advisory but not close supervision.
Strong verbal and written communication including presentation skills, facing management and leaders, colleagues, advisors, customers, collaborators, and technology providers/vendors.
Strong collaboration and team working spirit, receptive, transparent, and respectful.
The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more.
FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
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$90k-108k yearly est. Auto-Apply 3d ago
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Sr. Staff Engineer - Risk and Compliance Tech - Hybrid Role
Geico 4.1
San Francisco, CA jobs
GEICO . For more information, please .## Sr. Staff Engineer - Risk and Compliance Tech - Hybrid Role**At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.****Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose.****When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great CareersGEICO is seeking an experienced Senior Staff Software Engineer to lead the architecture, design, development, and delivery of scalable, enterprise-level solutions for our Compliance, Risk, and Audit organizations. The ideal candidate will have experience with Risk and Compliance applications as well as finance business applications. This position involves hands-on technical leadership, innovation, and collaboration to align technology solutions with business goals.**Position Description**In this role, you will collaborate closely with cross-functional teams, including business stakeholders, product experts, and other technical leaders, to deliver multiple Risk/Compliance tools (e.g. GRC; Regulation management; Model management; etc.) that will transform how GEICO manages their Risk, Compliance, and Audit portfolios. You will play a key role in the architecture, development, and deployment of solutions while ensuring best practices in software design, security, and performance. This role combines application solutioning, technical expertise, and strong functional knowledge of Risk, Compliance, and Finance business applications.**Position Responsibilities**As a Snr Staff Software Engineer for CCRA technologies, you will:* Lead the architecture, solution design, and implementation of vendor products or bespoke systems to support the Risk, Compliance, and Audit functions as well as work towards providing insightful analytics to proactively identify trends and issues.* Leverage their awareness of Risk & Compliance technologies (e.g. Auditboard; Archer; OpenPages; ServiceNow; etc.) to support the implementation of vendor applications to support business requirements.* Leverage finance system knowledge to ensure seamless integration of financial data from ERP systems, sub-ledgers and other enterprise sources to support the Risk and Compliance system requirements* Mentor other engineers and consistently share best practices and improve processes within and across teams* Understanding of DevOps concepts including Azure DevOps framework and tools to build out appropriate applications* Oversee system-wide technical initiatives, migrations, performance tuning, and process automation.* Innovate and prototype new tools or frameworks to improve development efficiency and product quality.* Provide thought leadership in new technologies, design patterns, and best practices, staying ahead of industry trends and emerging technologies.* Perform root cause analysis of performance issues and implement monitoring, profiling, and optimization strategies as needed.### Qualifications* 15+ years of professional experience in software development.* 10+ years of professional experience working with large enterprise or business applications, preferably Finance or Risk related.* 5+ years of experience with Risk and Compliance systems (e.g. GRC; Regulatory Management; Model management; etc.) via established vendors (e.g. Auditboard; Archer; IBM; ServiceNow; etc.)* Strong understanding of Risk, Compliance, and Audit reporting philosophies; and cross-finance practices to ensure data, integrations, and solutions are well designed* 5+ years of experience with ERP systems (Oracle, Workday, SAP, PeopleSoft) is desirable* Deep understanding of object-oriented design with expertise in either Java or C#.* Strong understanding of relational databases (SQL Server, Oracle, PostgreSQL, MySQL) and data integration frameworks.* In-depth knowledge of cloud platforms and technologies (AWS, Azure) and containerization tools (Docker, Kubernetes).* Proficiency in DevOps practices and tools for CI/CD pipelines and cloud infrastructure management.* Good knowledge of security protocols and products: understanding of Active Directory, Windows Authentication, SAML, or OAuth.* Excellent problem-solving, communication, and leadership skills.* Ability to effectively communicate with various audiences (leadership, highly technical, and non-technical business partners)* Ability to excel in a fast-paced, startup-like environment### Education### ·Bachelor's degree in in Computer Science, Engineering, or a related field.**Annual Salary**$130,000.00 - $260,000.00The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.At this time, GEICO will not sponsor a new applicant for employment authorization for this position.**The GEICO Pledge:****Great Company:** At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs.We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives.**Great Careers:** We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.**Great Culture:** We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.**Great Rewards:** We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.* Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being.* Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.* Access to additional benefits like mental healthcare as well as fertility and adoption assistance.* Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and
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A leading insurance company in California seeks a Senior Staff Engineer to lead the technical roadmap for their document management platform. You will innovate and build systems that integrate with various business applications. Ideal applicants have extensive experience in large-scale distributed systems, fluency in modern programming languages, and a passion for mentoring teams. The position offers competitive salary and a supportive work culture.
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$122k-159k yearly est. 2d ago
Developer Experience Engineer
Sentry 4.0
San Francisco, CA jobs
Bad software is everywhere, and we're tired of it. Sentry is on a mission to help developers write better software faster so we can get back to enjoying technology.
With more than $217 million in funding and 100,000+ organizations that believe we're on to something, we're building performance and error monitoring tools that help companies like Disney, Microsoft, and Atlassian spend less time fixing bugs and more time building products.
Sentry embraces a hybrid work model, with Mondays, Tuesdays, and Thursdays set as in‑office anchor days to encourage meaningful collaboration. If you like to selfishly build things that make your digital life better, come help us build the next generation of software monitoring tools.
About the role
The Developer Experience is growing in San Francisco! This is a hybrid‑role out of our main headquarters. We're looking for a hands‑on builder with strong opinions on great developer docs.
If you're someone who is confident in partnering with Product and Engineering to test and ship the latest features, not afraid to jump in and go hands‑on to solve problems for our biggest and a good eye for what good docs looks like - this is a dream role.
Developer Experience at Sentry is a team of builders who are constantly looking for ways to make it easier for every developer to use Sentry. We engage with the challenges facing technical communities, to support developers, gather feedback, and help our product and engineering teams ship new capabilities.
An engineer in this role should be confident to “come with an answer”, propose the product solutions, identify the content and/or execution plans and people to partner with, and go execute.
In this role you will..
Manage the docs platform, with freedom to shape it how you see fit, to answer the age old question of “what does great developer documentation look like”
Attend and even host events and meetups in the developer community
Have a point of view and aren't shy about expressing it. You get your energy from both knowing the latest trends and having a POV on which ones to ignore. Who's working on something interesting, who influences the conversation, and who's going to help drive the conversation forward - while linking all this back to the core problems that Sentry is solving
Build content that gets people excited to build their software alongside Sentry
Have an ear to the street. You get excited about gathering insights from users, the developer tool world, and what's currently happening in software development.
Ride side by side with Engineering, Product, Design, Sales engineering, Business Ops, and nearly every function in Marketing from Comms to Product Marketing to develop the best content and great product narratives.
You'll love this job if you
Are someone who loves taking new features for a spin, learning how they tick, and testing them against your own projects
Are an educator, a builder, and a human router. And you know that the best way to get people excited about your product is to show, not sell, through cool concepts, useful technical tutorials, and by bringing brilliant people together
Are “meh… not bad” writer who understands how to tell a useful and relevant story in 30 words as well as weave together questions to panelists for 30 minutes
Get excited when you hear that your job is to do ⅓ of each: Educating through useful and timely content + building community through live and virtual gatherings + Being customer‑to‑product influence
Listen as much as you talk. And you know how to build a community organically by lifting up and promoting others.
Qualifications
5+ years as a developer and 3+ years in an advocacy or educational role such as developer relations/evangelism, creating technical content, leading a community of developers via forums or events
You have 3+ examples of technical educational content aimed for professional developers (e.g. tutorial, video series, blog series, course)
At least one example of your own dedicated blogs, forum or sites with a developer‑focused audience and can speak to how you measured success and what promotional mechanisms you used to drive top of funnel visibility
At least one project using a common modern development language or framework
You have been an active member and contributor of technical communities, on any platform (e.g. Discord, Stack Overflow, Reddit, Twitter, TikTok)
Ability to prioritize competing opportunities and balance customer needs versus business priorities
Stellar written and verbal communication skills
A down‑to‑earth attitude, a good amount of humility, and dry sense of humor are a huge plus
The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $150,000 to $190,000. A successful candidate's actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate's work location, education, work and other relevant experience, skills, and job‑related knowledge. A successful candidate will be eligible to participate in Sentry's employee benefit plans/programs applicable to the candidate's position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits for more details about the Company's benefit plans/programs.
Equal Opportunity at Sentry
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally‑protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open‑source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
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$150k-190k yearly 3d ago
Machine Learning Engineer II, Fraud Risk Modeling
Geico 4.1
Palo Alto, CA jobs
GEICO . For more information, please .Machine Learning Engineer II, Fraud Risk Modeling page is loaded## Machine Learning Engineer II, Fraud Risk Modelinglocations: Palo Alto, CA: New York City, NY: Chevy Chase, MDtime type: Full timeposted on: Posted Todayjob requisition id: R0062028**At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.****Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose.****When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.****Overview**: GEICO's Fraud Risk Modeling team is building a **centralized, multi-modal fraud defense ecosystem** that unifies claims, payment, and identity risk assessment. As a **Machine Learning Engineer II**, you will take ownership of critical ML components, deliver production-grade models, ensure our fraud detection capabilities are robust and high-performing, and help evolve our fraud platform at scale.This role is ideal for engineers who are comfortable operating independently, making technical tradeoffs, and delivering reliable ML systems in production.**Key Responsibilities****ML System Ownership*** Design, implement, and maintain production ML models and features for fraud risk assessment.* Own model components across the full lifecycle: from data preparation and feature engineering to deployment and monitoring.* Improve model accuracy, stability, and interpretability through experimentation and iteration.**Platform & Pipeline Engineering*** Build and enhance scalable ML pipelines supporting batch and real-time fraud decisioning.* Build monitoring and alerting to detect data drift, model degradation, and system failures.* Optimize performance and reliability of ML services under production traffic.**Technical Collaboration & Mentorship*** Collaborate with Senior and Staff engineers on system design and architecture decisions.* Write high-quality, well-tested code and contribute to shared ML libraries and tooling.* Provide guidance and code reviews for junior engineers (MLE I).* Translate business and fraud domain requirements into technical ML solutions.**Operational Excellence*** Participate in on-call rotations or incident response related to ML services.* Ensure ML systems meet security, privacy, and regulatory requirements.* Contribute to technical documentation and best-practice sharing across teams.**Minimum Qualifications*** Bachelor's degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related field.* 3+ years of hands-on experience building, deploying, and operating ML systems in production.* Strong proficiency in Python (and/or Java) with a focus on production-quality code.* Experience with end-to-end ML lifecycle management, including monitoring and retraining.* Familiarity with distributed systems, data pipelines, and cloud-based ML infrastructure.**Preferred Qualifications*** Experience in Fraud Detection, Risk Modeling, Trust & Safety, or Identity systems.* Hands-on experience with big-data technologies (Spark, Snowflake, Redis, Kubernetes).* Familiarity with workflow orchestration tools like Airflow.* Exposure to feature stores, real-time ML serving, or graph-based modeling.* Familiarity with model explainability, fairness, or governance in regulated environments.**Annual Salary**$105,000.00 - $215,000.00The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.**The GEICO Pledge:****Great Company:** At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs.We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives.**Great Careers:** We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.**Great Culture:** We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.**Great Rewards:** We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.* Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being.* Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.* Access to additional benefits like mental healthcare as well as fertility and adoption assistance.* Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.At GEICO,we offer a rewarding career where your ambitions are met with endless possibilities.Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.Founded
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$105k-215k yearly 2d ago
Staff Machine Learning Engineer
Geico 4.1
Palo Alto, CA jobs
GEICO . For more information, please .**Staff Machine Learning Engineer** **Overview:***single* AI/Machine Learning team, responsible for the tech design and tech health of the team. You will build and architect scalable and reliable AIML solutions that align with the company's tech paved path and stakeholder requirements. This role requires a minimum of 6 years of relevant experience. As a Staff Machine Learning Engineer, you will be the overall tech lead of a **Key Responsibilities:** **System development**: Architect scalable and reliable AIML solutions that align with the company's tech paved path and stakeholder requirements. **Minimal Qualifications:** At least 6 years of hands-on experience in machine learning and software engineering. **Technical Skills:** Deep proficiency in programming languages such as Python, Java, or similar, with a strong emphasis on coding excellence.Proficiency in AIML frameworks such as TensorFlow, PyTorch, Scikit-learn, Langchain, langraph, etc.Experience with SQL, Spark, and scripting languages such as Python for data processing and model development. Proven experience in deploying machine learning systems in a production environment, ensuring scalability, reliability, and high availability. **Core Engineering Skills:** Extensive experience with object-oriented design (OOD), design patterns, and writing clean, maintainable code. Strong understanding of system architecture, performance optimization, and the ability to design fault-tolerant systems that handle large-scale data and high-volume requests. Experience designing, building, and maintaining ETL pipelines, streamlining data collection, transformation, and storage for model development. Experience setting up monitoring and logging systems for tracking model performance in production environments and ensuring efficient resource utilization.**Preferred****Qualifications****:** Experience utilizing both open source (e.g. llama, Qwen, Mistral) and proprietary (e.g. GPT, Claude) LLMs for appropriate tasks Experience with tools that power LLM-based AI agents: eval frameworks, agent tooling, RAG pipelines, prompt engineering, etc.Experience building LLM-based AI agent workflows via both no code/low code and traditional high-code development environments Experience in ideating, integrating, and designing applications and frontends using React or similar.If you are passionate about pushing the boundaries of machine learning technology, thrive in a hands-on technical leadership role, and enjoy solving complex, large-scale problems, we encourage you to apply. * Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being.* Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.* Access to additional benefits like mental healthcare as well as fertility and adoption assistance.* Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.
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A leading insurance company in California is seeking a Staff Backend Software Engineer to lead the design and development of complex, scalable software systems. This role requires over 8 years of experience in software development with proficiency in Java or Golang. You will mentor engineers, facilitate collaborations across departments, and tackle technical challenges. Additionally, the company offers a comprehensive benefits package, workplace flexibility, and a 401K plan with a match. Join us in providing quality insurance services to millions of customers across the nation.
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$92k-132k yearly est. 1d ago
Staff CI Engineer - Build Tools, Artifacts & Pipelines
Geico 4.1
San Francisco, CA jobs
A leading insurance firm in San Francisco seeks a Staff Software Engineer to develop build tools and CI systems. The ideal candidate will possess over 5 years of experience in software development and CI pipelines. This role offers a comprehensive compensation package and rewards a culture of innovation. Join a company that values your contributions and supports your career growth through personalized development.
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GEICO . For more information, please .**Position Description** Our Staff Engineer works with our Engineers to innovate and build new systems, improve and enhance existing systems and identify new opportunities to apply your knowledge to solve critical problems. You will lead the strategy and execution of a technical roadmap modernizing our servicing organization with API first design. The ideal candidate is a self-starter that has deep technical expertise in their domain. **Position Responsibilities** As a Staff Engineer, you will: Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering and product community. Influence and educate executives**Qualifications** Exemplary ability to design, perform experiments, and influence engineering direction and product roadmap Experience partnering with engineering teams and transferring research to production Ability to manage schema evolution, versioning and high-performance API driven systems Proven experience designing and delivering highly-resilient event-driven and messaging based solutions at scale with minimal latency. Deep hands-on experience in building complex SAAS systems in large scale business focused systems, with great knowledge on Docker and KubernetesExtensive experience in leading and building full-stack application and service development Ability to excel in a fast-paced, startup-like environment Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems Experience in implementing security protocols across services and products: Understanding of Active Directory, Windows Authentication, SAML, OAuth * Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being.* Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.* Access to additional benefits like mental healthcare as well as fertility and adoption assistance.* Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.
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$92k-132k yearly est. 3d ago
Staff Engineer - Java & API Microservices Leader
Geico 4.1
Palo Alto, CA jobs
A major insurance provider is seeking a Staff Engineer to lead the modernization of their servicing organization. The ideal candidate will have substantial hands-on experience with API-driven systems, Docker, and Kubernetes. Responsibilities include mentoring engineers, influencing product roadmaps, and enhancing system architectures. Attractive financial benefits and workplace flexibility are offered.
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$92k-132k yearly est. 3d ago
Senior AI Evaluation Engineer
Sentry 4.0
San Francisco, CA jobs
A software monitoring firm is seeking a Senior Software Engineer to join its AI/ML team in San Francisco. In this role, you will design evaluation frameworks to measure AI system performance, develop high-quality datasets, and automating testing processes. The ideal candidate should have over 5 years of experience, be proficient in Python and TypeScript, and enjoy working cross-functionally. Sentry offers competitive compensation between $240,000 to $280,000 along with comprehensive benefits including equity grants and health insurance.
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$94k-122k yearly est. 2d ago
Senior AI Evaluation Engineer - Metrics & Data Pipelines
Sentry 4.0
San Francisco, CA jobs
A leading software monitoring company is seeking a Senior Software Engineer on its AI/ML team to build evaluation infrastructure for measuring the performance of AI systems. This role involves designing datasets, creating benchmarks, and ensuring AI features behave reliably. Candidates should have 5+ years of experience, proficiency in Python and TypeScript, and a background in AI/ML. The position offers a hybrid work model and a salary range of $240,000 to $280,000.
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$94k-122k yearly est. 5d ago
Sr Staff Engineer (Java)
Geico 4.1
San Francisco, CA jobs
GEICO . For more information, please .Sr Staff Engineer -Platform page is loaded## Sr Staff Engineer -Platformremote type: Remotelocations: San Francisco, CAtime type: Full timeposted on: Posted Todayjob requisition id: R0060304**At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.****Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose.****When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers GEICO is seeking an experienced Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms, and applications. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission, while co-creating the culture of psychological safety and continuous improvement.**Position Description**Our Senior Staff Engineer works with our Staff and Sr. Engineers to innovate and build new systems, improve and enhance existing systems and identify new opportunities to apply your knowledge to solve critical problems. You will lead the strategy and execution of a technical roadmap that will increase the velocity of delivering products and unlock new engineering capabilities. The ideal candidate has deep technical expertise in their domain.**Position Responsibilities**As a Senior Staff Engineer, you will:· Focus on multiple areas and provide technical and thought leadership to the enterprise· Collaborate with product managers, team members, customers, and other engineering teams to solve our toughest problems· Develop and execute technical software development strategy for a variety of domains· Accountable for the quality, usability, and performance of the solutions· Utilize programming languages like Python, C# or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services· Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering and product community. Influence and educate executives· Consistently share best practices and improve processes within and across teams· Analyze cost and forecast, incorporating them into business plans· Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, and demonstrate adaptability and sponsoring continuous learning**Qualifications**· Exemplary ability to design, perform experiments, and influence engineering direction and product roadmap· Experience partnering with engineering teams and transferring research to production· Track-record of publications history in credible conferences and journals· Experience with continuous delivery and infrastructure as code· In-depth knowledge of CS data structures and algorithms· Experience solving analytical problems with quantitative approaches· Ability to excel in a fast-paced, startup-like environment· Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)· Fluency and Specialization with at least two modern languages such as Java, C++, Python or C# including object-oriented design· Experience with Micro-services oriented architecture and extensible REST APIs· Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems· Fluency in DevOps Concepts, Cloud Architecture, and Azure DevOps Operational Framework· Experience in leveraging PowerShell scripting· Experience in existing Operational Portals such as Azure Portal· Experience with application monitoring tools and performance assessments· In depth knowledge of Datacenter structure, capabilities and offerings, including the Azure platform, and its native services including the Azure platform and its native services· Experience in security protocols and products: Understanding of Active Directory, Windows Authentication, SAML, OAuth· Experience in Azure Network (Subscription, Security zoning, etc.)**Experience**· 10+ years of professional software development experience within a Java framework (J2EE, web containers and Java)· 8+ years of experience with architecture and design· 6+ years of experience in open-source frameworks· 4+ years of experience with AWS, GCP, Azure, or another cloud service**Education**· Bachelor's degree in Computer Science, Information Systems, or equivalent education or work experience**Annual Salary**$130,000.00 - $260,000.00The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.**The GEICO Pledge:****Great Company:** At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs.We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives.**Great Careers:** We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.**Great Culture:** We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.**Great Rewards:** We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.* Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being.* Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.* Access to additional benefits like mental healthcare as well as fertility and adoption assistance.* Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national
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$130k-260k yearly 3d ago
Machine Learning Engineer
Trov 4.1
San Francisco, CA jobs
At Pave, we're building the industry's leading compensation platform, combining the world's largest real-time compensation dataset with deep expertise in AI and machine learning. Our platform is perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision.
Top tier companies like OpenAI, McDonald's, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage. $190+ billion in total compensation spend is managed in our workflows, and 58% of Forbes AI 50 use Pave to benchmark compensation.
The future of pay is real-time & predictive, and we're making it happen right now. We've raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures.
Research & Design Org
Pave's R&D pillar includes our data science, engineering, information technology, product design, product management, and security teams. This organization builds, maintains, and secures a platform used by more than 8,500+ client organizations.
Our engineering team moves between ideation, scoping, and execution in a matter of days while closely iterating with cross‑functional partners on requirements. At Pave, we use TypeScript, Node.js, and React, hosted on GCP. Compensation strategy is broken down into three pillars - compensation bands, planning workflows, and total rewards communication. We build products that make these processes seamless for customers.
Over the next year, our roadmap is focused on enhancing the entire compensation lifecycle: from philosophy definition to market trend analysis, band adjustments, merit cycles, and employee communication. We're seeking passionate engineers who are excited about building robust, data‑rich systems that simplify complex compensation processes at scale.
The Data Team @ Pave
As part of the Data team at Pave, you will help us redefine how companies understand the labor market and determine compensation. Even the most innovative tech companies in the world often use spreadsheets full of flawed statistics to determine how to pay. At Pave, we've built a system of real‑time integrations that allow us to bring best practices from machine learning, data science, software tooling, and AI to an industry that is built on data, but doesn't have the tools it needs to fully leverage it.
What You'll Do
Architect and implement scalable ML systems for modeling compensation within a single company and across the market as a whole
Collaborate with product and engineering teams to identify additional opportunities to leverage ML‑driven solutions
Help evolve the technical direction of ML initiatives across the company
Drive millions of dollars of revenue growth
What You'll Bring
5+ years of experience building and deploying ML models in production environments
Strong foundation in machine learning, statistics, and deep learning fundamentals
Expertise in Python and modern ML frameworks (PyTorch, TensorFlow, or similar)
Experience with large‑scale data processing and ML model optimization
Experience with MLOps practices and tools (model versioning, monitoring, and deployment)
Strong software engineering practices and experience with production systems
Expert‑level SQL skills with experience writing complex queries and optimizing query performance
Ability to navigate (and bring structure to) ambiguity; ability to bring a project from 0 to 1, or scale a project from 1 to 100
Compensation
Salary is just one component of Pave's total compensation package for employees. Your total rewards package at Pave will include equity, top‑notch medical, dental, and vision coverage, a flexible PTO policy, and many other region‑specific benefits. Your level is based on our assessment of your interview performance and experience, which you can always ask the hiring manager about to understand in more detail. This salary range may include multiple levels.
The targeted cash compensation for this position is (level depends on experience and performance in the interview process):
P3: $195,000 - $215,000
P4: $230,000 - $250,000
Life @ Pave
Since being founded in 2019, Pave has established a robust global footprint. Headquartered in San Francisco's Financial District, we operate strategic regional hubs across New York City's Flatiron District, Salt Lake City, and the United Kingdom. We cultivate a vibrant, collaborative workplace culture through our hybrid model, bringing teams together in‑person on Mondays, Tuesdays, Thursdays, and Fridays to foster innovation and strengthen professional relationships.
Benefits
Complete Health Coverage: Comprehensive Medical, Dental and Vision coverage for you and your family, with plenty of options to suit your needs
Time off & Flexibility: Flexible PTO and the ability to work from anywhere in the world for a month
Meals & Snacks: Lunch & dinner stipends as well as fully stocked kitchens to fuel you
Professional Development: Quarterly education stipend to continuously grow
Family Support: Robust parental leave to bond with your new family
Commuter Assistance: A commuter stipend to help you collaborate in person
Vision & Mission
Our vision is to unlock a labor market built on trust.
Our mission is to build confidence in every compensation decision.
Equal Employment Opportunity
As set forth in Pave's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA.
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$230k-250k yearly 3d ago
Machine Learning Engineer
Trov 4.1
New York, NY jobs
At Pave, we're building the industry's leading compensation platform, combining the world's largest real-time compensation dataset with deep expertise in AI and machine learning. Our platform is perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision.
Top tier companies like OpenAI, McDonald's, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage. $190+ billion in total compensation spend is managed in our workflows, and 58% of Forbes AI 50 use Pave to benchmark compensation.
The future of pay is real-time & predictive, and we're making it happen right now. We've raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures.
Research & Design Org
Pave's R&D pillar includes our data science, engineering, information technology, product design, product management, and security teams. This organization builds, maintains, and secures a platform used by more than 8,500+ client organizations.
Our engineering team moves between ideation, scoping, and execution in a matter of days while closely iterating with cross‑functional partners on requirements. At Pave, we use TypeScript, Node.js, and React, hosted on GCP. Compensation strategy is broken down into three pillars - compensation bands, planning workflows, and total rewards communication. We build products that make these processes seamless for customers.
Over the next year, our roadmap is focused on enhancing the entire compensation lifecycle: from philosophy definition to market trend analysis, band adjustments, merit cycles, and employee communication. We're seeking passionate engineers who are excited about building robust, data‑rich systems that simplify complex compensation processes at scale.
The Data Team @ Pave
As part of the Data team at Pave, you will help us redefine how companies understand the labor market and determine compensation. Even the most innovative tech companies in the world often use spreadsheets full of flawed statistics to determine how to pay. At Pave, we've built a system of real‑time integrations that allow us to bring best practices from machine learning, data science, software tooling, and AI to an industry that is built on data, but doesn't have the tools it needs to fully leverage it.
What You'll Do
Architect and implement scalable ML systems for modeling compensation within a single company and across the market as a whole
Collaborate with product and engineering teams to identify additional opportunities to leverage ML‑driven solutions
Help evolve the technical direction of ML initiatives across the company
Drive millions of dollars of revenue growth
What You'll Bring
5+ years of experience building and deploying ML models in production environments
Strong foundation in machine learning, statistics, and deep learning fundamentals
Expertise in Python and modern ML frameworks (PyTorch, TensorFlow, or similar)
Experience with large‑scale data processing and ML model optimization
Experience with MLOps practices and tools (model versioning, monitoring, and deployment)
Strong software engineering practices and experience with production systems
Expert‑level SQL skills with experience writing complex queries and optimizing query performance
Ability to navigate (and bring structure to) ambiguity; ability to bring a project from 0 to 1, or scale a project from 1 to 100
Compensation
Salary is just one component of Pave's total compensation package for employees. Your total rewards package at Pave will include equity, top‑notch medical, dental, and vision coverage, a flexible PTO policy, and many other region‑specific benefits. Your level is based on our assessment of your interview performance and experience, which you can always ask the hiring manager about to understand in more detail. This salary range may include multiple levels.
The targeted cash compensation for this position is (level depends on experience and performance in the interview process):
P3: $195,000 - $215,000
P4: $230,000 - $250,000
Life @ Pave
Since being founded in 2019, Pave has established a robust global footprint. Headquartered in San Francisco's Financial District, we operate strategic regional hubs across New York City's Flatiron District, Salt Lake City, and the United Kingdom. We cultivate a vibrant, collaborative workplace culture through our hybrid model, bringing teams together in‑person on Mondays, Tuesdays, Thursdays, and Fridays to foster innovation and strengthen professional relationships.
Benefits
Complete Health Coverage: Comprehensive Medical, Dental and Vision coverage for you and your family, with plenty of options to suit your needs
Time off & Flexibility: Flexible PTO and the ability to work from anywhere in the world for a month
Meals & Snacks: Lunch & dinner stipends as well as fully stocked kitchens to fuel you
Professional Development: Quarterly education stipend to continuously grow
Family Support: Robust parental leave to bond with your new family
Commuter Assistance: A commuter stipend to help you collaborate in person
Vision & Mission
Our vision is to unlock a labor market built on trust.
Our mission is to build confidence in every compensation decision.
Equal Employment Opportunity
As set forth in Pave's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA.
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$230k-250k yearly 3d ago
Senior Backend Engineer, Core Platform
Trov 4.1
San Francisco, CA jobs
A leading compensation platform provider in San Francisco is seeking a passionate backend engineer to join their team. You will be responsible for building data-intensive applications while collaborating closely with product and platform teams. Ideal candidates should have over 5 years of experience with technologies like TypeScript and Node.js. The work environment promotes innovation and offers a hybrid model of collaboration. Expect a competitive salary package with additional benefits.
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$131k-182k yearly est. 4d ago
Senior AppSec Engineer for Real-Time Pay Platform
Trov 4.1
San Francisco, CA jobs
A leading compensation technology firm is seeking an experienced application security professional to enhance their robust security measures. The ideal candidate will have over 5 years of application security experience and expert knowledge of OWASP Top 10. This role will involve collaboration with software engineers to secure sensitive data and run effective security programs. A range of compensation and benefits is offered, including equity and flexible PTO.
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$131k-182k yearly est. 3d ago
Senior Backend Engineer, Data-Intensive Platform
Trov 4.1
San Francisco, CA jobs
A leading compensation platform provider in San Francisco is seeking a backend engineer with over 5 years of experience. The role involves building robust, data-rich systems to enhance compensation processes. Candidates should have expertise in secure data architecture, ideally using technologies like TypeScript and Node.js. The position offers a competitive salary and a vibrant, collaborative workplace culture with hybrid work flexibility.
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$131k-182k yearly est. 4d ago
Senior ML Engineer for Real-Time Compensation
Trov 4.1
San Francisco, CA jobs
A leading compensation platform provider in the New York area is looking for experienced engineers to architect scalable machine learning systems. The ideal candidate will have over 5 years of experience in ML model deployment, a solid understanding of ML fundamentals, and expertise in Python. This role is critical in driving revenue growth and evolving technical ML initiatives. The company offers competitive compensation including health benefits, equity, and a flexible work environment.
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$131k-182k yearly est. 3d ago
Senior ML Engineer for Real-Time Compensation
Trov 4.1
New York, NY jobs
A leading compensation platform provider in the New York area is looking for experienced engineers to architect scalable machine learning systems. The ideal candidate will have over 5 years of experience in ML model deployment, a solid understanding of ML fundamentals, and expertise in Python. This role is critical in driving revenue growth and evolving technical ML initiatives. The company offers competitive compensation including health benefits, equity, and a flexible work environment.
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