• Work across multiple projects as a software developer within agile sprint-based delivery • Assist Technical Leads and Architects in the design of AI software solutions • Undertake .NET software development against assigned user stories to required quality standards • Quality assure developed AI solutions and rubber-stamp alpha testing and software releases • Research and evaluate existing and emerging Microsoft services and tools • Create prototypes and demonstrations to support solution development • Assist Support Engineers with debugging across development, UAT, and production environments • Produce technical reports, handover documentation, and transition artefacts • Maintain and repair existing applications where escalated • Support the Technical Team with continuous improvement of the Engineering function

About the team As a Senior Applied Scientist on Zillow Group’s Conversion and Core Modeling team, you will help build a unified, observable, and explainable decision framework for Zillow’s core For Sale marketplace. This team sits at the center of revenue-driving experiences, where automated systems make confident decisions under uncertainty while balancing short-term transaction performance with long-term program value. About the role You are a systems thinker experienced in both optimization and production machine learning. You will build and scale routing and allocation decision systems that match Zillow consumers with trusted partners in our core marketplace, improving performance while increasing transparency and explainability in our automated systems. You will get to: - Iterate on optimization frameworks in constraint-driven, multi-objective environments to balance customer experience and long-term business value. - Build and productionize ML-driven routing systems for large-scale marketplace decision systems, owning models across the full lifecycle from feature design through deployment and monitoring. - Work directly with partner teams (such as product, engineering, and operations) to clarify system behavior, communicate tradeoffs, and align on decision policies. - Uphold high standards for production quality, including reliability, observability (dashboards, diagnostics, automated monitoring), and operational readiness for critical decision services. This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions. In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $160,900.00 - $257,100.00 annually. This base pay range is specific to these locations and may not be applicable to other locations. In Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, and Vermont the standard base pay range for this role is $152,900.00 - $244,300.00 annually. The base pay range is specific to these locations and may not be applicable to other locations. In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location. Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside. Who you are - 5+ years of applied science experience (industry or equivalent), including work on optimization-driven or constraint-based decision systems such as dispatch, matching, scheduling, or routing, with measurable business impact. - 3+ years owning production machine learning systems end to end, across the full model lifecycle from feature design and training through validation, deployment, and monitoring. - Proficient in Python and SQL for building, evaluating, and deploying models in production environments. - Advanced degree (MS or PhD) in a quantitative field (for example, Economics, Operations Research, Data Analytics, Statistics, or a related discipline), or equivalent practical experience in applied science or other data-intensive roles. - Strong mathematical and algorithmic reasoning skills, including comfort working with multi-objective tradeoffs, constraints, and uncertainty. - Strong software engineering fundamentals, including development best practices, testing, and operational rigor in production environments. - Experience building transparent, explainable systems and clearly communicating decision logic to both technical and non-technical stakeholders. - You pair curiosity with structured problem-solving to uncover new opportunities and areas of improvement and take initiative to develop practical, data-informed solutions. - Here at Zillow - we value the experience and perspective of candidates with non-traditional backgrounds. We encourage you to apply if you have transferable skills or related experiences. Nice to have: - Experience building or optimizing large-scale marketplace decision systems (for example, rideshare, delivery, travel, e-commerce, or logistics platforms). - Experience applying mathematical optimization techniques (such as constraint-based optimization, linear or integer programming, or stochastic optimization) in production decision systems. - Experience designing and implementing observability for decision systems, including dashboards, diagnostics, automated monitoring, and alerting for model and business performance. Get to know us At Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help customers navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you’ll be part of a company that's reshaping an industry and helping more people make home a reality. Zillow is honored to be recognized among the best workplaces in the country. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2025, and included on the PEOPLE Companies That Care® 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow. No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry—and your career—forward, together. Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

MixMode is a leading provider of AI-powered cybersecurity solutions at scale, pioneering a patented third-wave, context-aware AI approach that automatically learns and adapts to dynamic environments. The MixMode platform delivers self-supervised, real-time threat detection for known and unknown threats across cloud, hybrid, and on-premises environments. Large organizations with big data workloads – including those in enterprise, critical infrastructure, US Department of War and US Intelligence Community – trust MixMode to defend their most important assets. Backed by PSG and Entrada Ventures, MixMode is headquartered in Santa Barbara, California. Learn more at www.mixmode.ai. Job Summary: We are hiring a Senior Software Engineer to enhance the reliability, performance, and scalability of our production AI systems. We value clear thinking, incremental improvement, and engineers with real production incident experience. This role focuses on understanding, refining, and strengthening existing distributed services across application, database, and container orchestration layers. You will collaborate with ML researchers to make our systems more robust, maintainable, flexible, and scalable. What you’ll be doing (responsibilities): - Own the reliability, performance, and operational health of production AI services - Refactor and harden existing systems to improve resilience, clarity, and maintainability - Diagnose and resolve issues across distributed services, data pipelines, and storage layers - Design and implement monitoring, alerting, and debugging tools for high-availability systems - Partner with researchers and engineers to productionize predictive systems at scale - Establish best practices for testing, deployment, capacity planning, and incident response - Contribute to incident response and postmortems, driving continuous improvement What you’ll need to bring (qualifications): - Ability to travel to our office in Santa Barbara, CA, a few times per year - 7+ years of professional software engineering experience - Strong proficiency in Python and at least one JVM language (Java, Scala, Kotlin) - Proven experience designing, building, and operating distributed systems in production - Strong understanding of service architecture, concurrency, resource management, and distributed failure modes - Experience operating Kubernetes deployments - Strong experience with relational databases, including query performance analysis, indexing, and connection management - Demonstrated ability to diagnose and resolve performance, scalability, and reliability issues across system layers - Experience implementing automated testing and production observability (logging, metrics, tracing) - Experience collaborating with ML or data science teams (deep ML expertise is not required) - Ability to improve system architecture and engineering practices through design, code review, and mentorship Our Interview Process: Our interview process focuses on real-world production experience and practical systems thinking. We assess how you reason about distributed systems, refactor existing code, and operate under real constraints—not abstract puzzles. We support the use of AI tools in our development, but we want to understand your capabilities first. No AI tools will be allowed for remote interviews early in the process. The process includes: - Conversations about systems you’ve personally owned, improved, and operated in production - A live refactoring and testing exercise in your choice of Java, Kotlin, or Scala, centered on improving existing code without changing behavior - A distributed systems discussion covering performance, state management, failure modes, and debugging under load - An ML production discussion focused on stabilizing and operating model-driven systems in real environments - The final stage of our interview process includes an in-person conversation at our Santa Barbara office, focused on senior-level ownership, judgment, and technical leadership We are open to hiring great talent who may have qualifications above or below those specifically listed in this job description. Pursuant to California law, we must display the pay range for this job. Since we are willing to hire within a broad spectrum of qualifications, we also reflect a broad pay range. The base hourly range that we are targeting for this position is $150,000-$210,000 though we can adjust based on individual qualifications. Individual salary is determined by qualifications, role, level, and location. Compensation and benefits are competitive based on industry standards. Benefits for full-time team members include: - Remote-First Work Culture - Healthcare (Medical, Dental, Vision, Accident) - Basic & Voluntary Life and AD&D - Flexible Spending Account (FSA) - 401(k) with Employer Match - Paid Holidays & Flexible Paid Time Off (PTO) MixMode provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Disability and Reasonable Accommodations | E-Verify | Right to Work Please note: MixMode does not accept unsolicited resumes from recruiters or employment agencies. In the event of a recruiter or agency submitting a resume or candidate without a signed agreement being in place, we explicitly reserve the right to pursue and hire such candidates without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted directly to hiring managers, are deemed to be the property of MixMode.

We are looking for a Senior AI Engineer to work alongside our balanced agile delivery teams on highly complex DoD projects, specifically developing AI-powered DevSecOps processes that accelerate the velocity of development and testing of our mission planning and decision support systems. Hypergiant with its partners is building innovative agentic AI solutions that leverage cloud-based AI platforms and custom model context protocol (MCP) connectors to seamlessly integrate existing capabilities and processes to orchestrate application creation . An ideal candidate is able to design and implement custom agentic workflows, build and deploy MCP connectors for containerized services, and ensure system security and reliability. This position will work alongside our infrastructure and security teams on highly complex DoD projects. Role & Responsibilities - Build and deploy custom model context protocol (MCP) connectors for new and existing services - Design and implement custom agentic workflows using cloud AI platforms - Develop server-side application logic and APIs that integrate AI capabilities with existing enterprise systems - Contribute to the development and maintenance of reusable AI component libraries and shared code infrastructure - Write high-quality code, applying best practices, coding standards, and design patterns for AI systems - Participate in the entire AI solution lifecycle, including requirement gathering, design, development, testing, and deployment, using an agile, iterative process - Participate in code reviews and ensure code quality through effective testing strategies and security validation - Collaborate with infrastructure teams, security teams, developers, designers, testers, project managers, product managers, and project sponsors - Communicate tasking estimation and progress regularly to a development lead and product owner through appropriate tools - Ensure seamless integration with backend systems, cloud services, databases and messaging systems - Team with other developers, fostering a culture of continuous learning and professional growth in AI engineering Required Experience: - At least 5+ years of professional software engineering experience with a focus on Python and TypeScript/JavaScript - Proven experience building and deploying production AI systems, custom integrations, and agentic workflows using LLM-based platforms - Hands-on experience with Model Context Protocol (MCP) architecture or similar plugin/connector frameworks and workflow orchestration tools (n8n, Airflow, LangGraph) for complex AI pipelines - Demonstrated expertise with containerization technologies (Docker, Kubernetes) and cloud-native deployment patterns for scalable AI systems - Solid understanding of Amazon Web Services cloud platform including their native AI/ML services, vector databases, graph databases, and observability solutions - Experience with RESTful API design, GraphQL, and event-driven architectures across multiple LLM providers (OpenAI, Anthropic, Bedrock, Groq) - Experience with advanced prompt engineering techniques and specialized knowledge of ensemble prompting strategies for effectively combining and synthesizing outputs from multiple LLM models - Proficient with infrastructure-as-code tools (e.g., terraform) - Experience with CI/CD pipelines and automated deployment strategies - Familiarity with security best practices for AI systems, including authentication, authorization, logging, and data encryption - Strong understanding of microservices architecture and distributed systems - Proficient with version control systems (e.g., Git) and effective collaborative development workflows - Must be a US Citizen and eligible to obtain and maintain a US Security Clearance Preferred Experience: - Experience building custom LLM integrations, RAG architectures, or AI agent frameworks beyond standard implementations using frameworks such as LangChain - Familiarity with graph databases and advanced vector database optimization techniques - Experience with specialized LLM evaluation frameworks and benchmarking methodologies, including tools like LangFuse - Experience with monitoring and observability tools (Datadog, New Relic, Prometheus/Grafana) - Familiarity with design and documentation tools for creating system architecture diagrams - Experience with component development frameworks like Storybook - Knowledge of Outline or similar documentation platforms for technical knowledge management - Experience with project management and issue tracking tools such as Jira - A portfolio of past AI projects or MCP connector repositories with code samples or GitHub links - Experience auditing third-party AI services and dependencies - Familiarity with compliance frameworks relevant to AI systems (CMMC, FedRAMP) - Penchant for learning new AI technologies and frameworks, balanced with strong organizationally-minded thinking - Ability to make effective architecture decisions for AI systems and document them clearly - Design-minded attention to detail in user interface implementation for AI-powered applications - Ability to travel as needed - Active Security Clearance Clearance Requirements Some positions will require access to U.S. National Security information. Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL). In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment. To learn more about the security clearance process please access this link. EEOC & Know Your Rights Accelint companies are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran or any other status protected by applicable federal, state, and local law. We ensure that all employment decisions, including hiring, promotion, compensation, and other terms and conditions of employment, are based on merit, qualifications, and business needs. For more information about your rights, please review the "Know Your Rights" poster from the Equal Employment Opportunity Commission (EEOC). Know your Rights: English Spanish Pay Scales & Benefits The listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors. Benefits include… - Paid Time Off - Paid Company Holidays - Medical, Dental & Vision Insurance - Optional HSA and FSA - Base and Voluntary Life Insurance - Short Term & Long-Term Disability Insurance - 401k Matching - Employee Assistance Program