Machining engineer jobs in Arizona

Job Title: Aeronautical Engineer Tax Work Location: Chandler - 1575 S. Price Road (AZ23) CLEARANCE TYPE: Secret BILL RATE MAX: $52/Hr. W2 Responsibilities: · Develop and maintain Mass Properties Models for launch vehicles and subsystems. · Perform weight and balance analysis, including estimating and optimizing mass properties for launch systems. · Establish design target weights and track compliance throughout the project lifecycle. · Maintain mass properties accounting systems and provide trend analysis for program leadership. · Support proposal evaluations, design reviews, and operational documentation. · Conduct component weighing and verification to improve accuracy of estimates. · Present findings in technical and program reviews. · Regular and close interaction with other groups and departments to gather needed information and communicate status. Basic Qualifications for Mass Properties Engineer: · Bachelor's degree in Aerospace Engineering, Mechanical Engineering, or related STEM field. · 0-5 years of experience in an engineering field. · Familiarity with MS Office products · Detail oriented and able to work with others to get information · Good verbal and written communication skills · Basic CAD understanding and usage · Ability to obtain and maintain a U.S. Secret security clearance. Preferred Qualifications for Mass Properties Engineer: · Active SECRET security clearance. · Experience in programming in Access VBA and Excel Macros. · Able to work projects and complete on time with minimal oversite from manager and leads · Experience with mass properties in a school or work project, including concepts of mass, weight, center of gravity, moments of inertia, products of inertia, and what causes those to change.

Demonstrated expertise and a strong foundational background in Artificial Intelligence (AI) and Machine Learning (ML), including proficiency with current industry trends and methodologies. Proven track record of successfully delivering AI/ML projects from inception to deployment; prior experience within the financial sector is highly desirable. Solid programming skills, particularly in Python, including scripting, development, and data manipulation.

Title: Operations Engineer Duration: Full - Time In this role, you'll help maintain the reliability of automated processes used across multiple financial institutions. You will monitor scheduled workflows, identify and troubleshoot processing errors, review system activity, and coordinate with clients when issues arise. This is a hands-on operational role requiring strong analytical skills, exceptional attention to detail, and the ability to communicate clearly with both internal teams and external stakeholders. You'll work in a technology-driven environment supporting a large client base, ensuring smooth daily operations across essential systems. ✅ Must-Have Skills These are essential for success in this role: Background in banking, financial services, or similar monitored environments Exceptional attention to detail and critical thinking ability Strong customer service skills and comfort interacting with clients High level of technical proficiency and comfort navigating software systems Basic knowledge of databases, queries, reporting, and system monitoring tools Proficiency with Microsoft Office (Outlook, Word, Excel, PowerPoint) 🌟 Preferred Skills Degree or coursework in Computer Science Experience with Linux, AIX, or enterprise-level systems Familiarity with automated job scheduling or workflow tools 2+ years of experience in a technical support or operations role 🔧 Key Responsibilities Monitor ongoing processing tasks to ensure they complete successfully Investigate exceptions, failures, or irregular system behavior Review logs, validate file transfers, verify job activity, and identify root causes Refresh data, run tests, and perform basic system maintenance tasks Coordinate with clients when issues need clarification or action Escalate complex incidents to senior engineers as necessary Support a high-volume client environment Participate in after-hours support when required Perform general operational tasks as assigned 🚫 Who Should NOT Apply This role is likely not a good fit if you: Do not have experience in banking or financial services Are unable to handle late-evening or overnight shifts Prefer work that does not require high accuracy or attention to detail Are uncomfortable troubleshooting technical or operational issues Cannot attend brief onsite training in Phoenix

GNC Aerospace Engineer (Guidance, Navigation & Control) DURATION: 1-Year Contract Plus Extensions (FTE Conversion Eligible) PAY RANGE: $60.00 - $80.00 per hour W2 QUALIFICATIONS & EXPERIENCE: 2-3+ years of experience in guidance, navigation and control systems (GNC) for aerospace and missile guidance related projects. Strong knowledge of guidance principles and systems, including missile guidance algorithms, navigation, target tracking and flight test programs. Experience with Autopilot. 6Dof simulation experience. Ability to read C++ and knowledge of modeling and simulation tools such as MATLAB, Simulink, Python. Bachelor's or advanced degree in Aerospace Engineering, Electrical Engineering, or a related field. PLUSSES (Not Required): Experience in Hypersonic programs. Strong knowledge of Infrared Discrimination (IR) and Tracking. Experience with linear quadratic estimation (Kalman Filtering). Experience with predictive intercept points (PIP) algorithms. SUMMARY & OVERVIEW: Insight Global is seeking an Aerospace GN&C Engineer in Chandler, AZ. Our client provides innovative solutions for national security, commercial aerospace, and space exploration. As an Engineer in the Guidance, Navigation, and Controls (GNC) team, you will be responsible for designing and developing guidance algorithms, simulations, modeling and systems for missile guidance related projects. You will work closely with and mentor other GNC engineers and collaborate with stakeholders to ensure that the guidance systems meet performance specifications. Compensation: $60.00/hr - $80.00/hr Exact compensation may vary based on several factors, including skills, experience, and education. Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this role will have access to paid sick leave and other paid time off benefits as required under the applicable law of the worksite location.

PRINCIPAL DUTIES & RESPONSIBILITIES: Work with service provider to tune patch & vulnerability management tools to increase coverage, reduce false positives and false negatives, and improve processes. Improve and maintain Windows Server and workstations patching process and cycle Actively verify and apply security patches. Perform routine audits of workstations and servers to ensure compliance with established standards, policies, and configuration guidelines. Develop and maintain PowerShell Scripts to automate day to day tasks. Develop and maintain documentation for patching procedures and configuration of systems. Drive vulnerability assessment and remediation. Handle escalation support for workstation and server related issues. Adhere to all IT governance and IT policies. Follows change management procedure. Support the culture of continuous improvement by proactively investigating new risks and opportunities to strengthen Bank's security posture. Mentor and train other team members. Assist in production of vulnerability management reports and statistics for management and board members. JOB SPECIFICATIONS: Bachelor's or Associate Degree in Computer Science, Cybersecurity, Computer Engineering, or related discipline 3 + years of patch management experience. Experience securing and/or conducting security assessments of container and cloud environments or in-depth knowledge of cloud, container, and application security best practices. In-depth knowledge of web-based attacks and mitigation strategies. Demonstrated success implementing risk reduction strategies. Strong critical thinking and problem - solving skills. Diligent, proactive, and strong attention to detail. Strong interpersonal and communication skills (written and verbal) including ability to present technical information to non-technical audiences.

We are seeking a skilled, hands-on Security Operations Lead Engineer to guide the daily operation of our SOC and strengthen our overall security posture. This leader will drive improvements in detection pipelines, incident response, automation, and cloud security while overseeing the security scrum team and maintaining a predictable security roadmap. Benefits of this Role Exclusive Team Member Travel Discounts Affordable Medical Insurance 100% Employer Paid Dental and Vision Insurance HSA with Company Contribution 401(k) Basic and Voluntary Life & AD&D Pet Benefits Free Parking Amazing Culture! Responsibilities Lead threat detection engineering and end-to-end incident response, including triage, investigation, containment, and remediation. Manage SIEM/Sentinel content, dashboards, log pipelines, and continuous detection improvements informed by real incidents.Serve as security scrum master, driving sprint cadence, backlog refinement, planning, reviews, and mentoring junior analysts. Build and maintain security automation and integrations to improve alerting, enrichment, response, and zero-trust controls across assets. Operate and tune Fortinet security stack (FortiGate, FortiAnalyzer, FortiClient EMS) while managing firewall policy, segmentation, IPS, and monitoring expansion. Strengthen Azure identity and cloud security posture while maintaining documentation, runbooks, detection logic, and cross-team collaboration. Required Skills Bachelor's degree in cybersecurity, information systems, or related field, or equivalent experience Three to seven years in SOC, incident response, or security engineering roles Hands on experience with SIEM platforms, XDR tooling, and log management Experience tuning alerts, writing detections, and performing investigations Working knowledge of Azure identity and cloud security controls Familiarity with Fortinet platforms such as FortiGate, FortiAnalyzer, EMS, and ZTNA Ability to run scrum ceremonies with consistent cadence Strong written and verbal communication skills Must be available for full-time on-site work Scripting experience in PowerShell or Python is a plus Knowledge of MITRE ATT&CK and threat hunting is a plus Preferred Qualifications FCP Security Operations, AZ500 Security Engineer Associate, or GCIH certifications If this sounds like a fit for you, apply today!

IntraEdge has an immediate very long-term need for a Workday Integration Engineer. We cannot use C2C and candidates MUST be local to Phoenix, Arizona area and willing to work onsite as needed (not full-hybrid). We are migrating from Oracle EBS to Workday. Oracle is not a must. Should be able to Build integrations using following workday tools: Cloud Connect EIB/DTS Orchestrate Studio Build Prism and workday reports: Build Extend applications BIRT Use APIs

**Compensation is between $95,000 to $105,000 DOE + Hiring Bonus** is based out of CA and Relocation will be available! At Clark Pacific, exciting building projects are just the beginning! As the West Coast's leading prefabricator of building systems, our talented team of professionals bridge the gap between construction and manufacturing every day, providing solutions and innovations that deliver high-performance structures with enhanced cost, schedule, and safety. It all starts with the Clark Pacific Employee Experience: top talent people working together in an environment that fosters collaboration, growth & development, and compassion. We are great people doing great things, together! We have over 60 years of experience and have successfully contributed to some of the West Coast's most iconic buildings including the Golden 1 Center, the Apple II Campus, the San Francisco 49ers stadium, and the Stanford Escondido Village Graduate Housing to name just a few. When people want to experience, quality, and a partner they can trust, they choose Clark Pacific. Repeat customers, numerous building and environmental stewardship awards, and great employees are some of the things for which we are most proud and grateful. The Senior Project Engineer contributes to the successful design, fabrication, and installation of architectural and structural building systems. Working as part of an integrated team within a specific business unit, applies engineering, project management, problem solving, and communication skills across all levels and disciplines within the organization. The Senior Project Engineer, under the direction of Senior Project Manager or Function Manager, significantly contributes to project success. Reasonable accommodations may be made to enable qualified individuals to perform the essential functions. Exercise a high level of professionalism and confidentiality when dealing with staff, projects and proprietary information. Advanced activities pertaining to the Design Phase, including, but not limited to, submittal drawings, design approvals, reinforcement drawings, miscellaneous metal drawings. Oversee the manufacture-related activities pertaining to the Production Phase, including, but not limited to providing complete shop drawings, ensuring purchase of all required materials, maintaining a casting schedule and performing quality checks. Oversee in the field-related activities pertaining to the Erection Phase, including, but not limited to preparing crane studies, rigging diagrams, coordinating shipping and field manpower requirements while ensuring erection quality and performance to plan and budget. Project management including, but not limited to issue identification and resolution, coordinating requested procedure submittals, escalating issues as necessary, and monitoring contract specifications, budget, and time commitments. Other duties as assigned. Experience and Education Requirements: 2-4 years' experience as a successful Project Engineer required. BS in Civil Engineering or Mechanical Engineering, or Engineering related degree required. EIT certification preferred. Core Values: Determination: Meet challenges head on! Innovation: Always look for better! Well-Being: Seek the success, health and happiness of all! Benefits: Competitive compensation, being paid on a weekly basis. Health, Dental and Vision Insurance with the options of using Kaiser and VSP for vision! Medical FSA Dependent Care FSA Employer paid life insurance paid by Clark Pacific Voluntary Ancillary Benefits such as Critical Illness, Accident Insurance and Whole life insurance. 401k matching 100% of the first 3%, then 50% of the next 2% *Benefits will be subject to a waiting period* Interested? Want to learn more? If you're a hard-working nice person who is smart and curious, and think that this position is right for you, we want to hear from you. Please apply and let's begin the journey. Welcome to Clark Pacific. Let's do great things together! Clark Pacific is an Equal Opportunity Employer Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities #LI-MV1

As a Project Engineer at Graycor, you will enroll in our Engineering Mentoring Program designed to expose you with the critical hands-on experience necessary to build your successful career in construction. You will receive ongoing, specialized one-on-one training, coaching and mentoring on a variety of challenging and interesting project assignments, and a full rotation between departments. You will be actively involved in your career development, making self-assessments of your progress against established core competencies. Engineers will typically spend 24 months in the Engineer Mentoring Program before advancing to a new position with Graycor. AS A PROJECT ENGINEER, YOU WILL GAIN EXPERIENCE IN THE FOLLOWING AREAS: Project Management/ Project Controls: Assist Project Manager and Superintendent in the efficient control and management of the project, while ensuring safety and quality programs are being executed on the project site. Develop and maintain the critical path project schedule, including ongoing revisions. Assist the Project Manager and/or Superintendent in the preparation of short-term look-ahead schedules and the application of Lean Construction techniques. Maintain project documentation and expedite to the Owner, Architect, and Engineers for approval. Develop and maintain a thorough understanding of the provisions and requirements of all contract documents, including plans, specifications, owner's contract, subcontracts and purchase orders. Assist in the procurement of equipment and materials, and track and expedite their delivery. Track and evaluate subcontractor and vendor performance. Interact with subcontractors and vendors regarding technical and contractual matters. Estimating/ Preconstruction Services: Assist in the preparation of estimates and quotations to obtain project work. Assist the Project Manager and/or Estimator in bid preparation, subcontractor/vendor solicitation, evaluation and award. TO BE SUCCESSFUL IN THE GRAYCOR ENGINEERING MENTORING PROGRAM, YOU WILL NEED: Bachelor's degree in construction management, engineering, or other relevant technical discipline. 0-3 years of relevant construction internship or post-undergraduate experience. The ability to travel extensively and temporarily reside at the project site for extended periods of time, with travel home provided every other weekend. Travel subsistence pay and travel incentive bonuses may apply. Ambition to grow professionally and acquire new knowledge and skills. Our most successful Engineers are motivated to succeed and are passionate about construction across a variety of projects. Our typical project portfolio includes retail mall development, entertainment/ recreational, hospitality/lodging, office, logistics/distribution and cold storage, manufacturing, and green/ LEED building industries. The fortitude to juggle competing priorities in a fast-paced environment. Multi-tasking with a sense of urgency while maintaining strong attention to detail and accuracy is crucial. Effective communication skills, with the ability to interact professionally with managers, co-workers, subcontractors, and construction craft employees. Problem solving and critical thinking skills. Working knowledge of MS Office Suite. Additional basic knowledge of scheduling, estimating and takeoff software is a plus. We use Primavera P6, WinEst and On-Screen Takeoff.

in Chandler, AZ Pay: $44.50 to $83.50 2673 with a large international defense / aerospace company * CAD CAM Engineer 3 * Please apply ONLY if you have 5+ years PWB design with Cadence Allegro United States Citizenship is required due to government contract requirement; we are unable to sponsor at this time. We can ONLY consider your application if you have: 1: Minimum 5 years recent PWB design layout experience using the Cadence Allegro design tool suite; 2: AA/AS degree or other 2-year post high school training with a minimum of 5 years of relevant experience; 3: Working knowledge of high density complex, multilayer boards (6-16 layers); 4: Experience in the layout/routing of digital and analog circuits, including power circuits; 5: Experience with layout/routing of high speed digital and controlled-impedance circuits (SERDES, DDR3/DDR4, etc); 6: Experience with rigid-flex assemblies; 7: Ability to prepare artwork (ODB++, Gerbers) for fabrication of PWBs; 8: Extensive experience with footprint/symbol creation and library management; 9: Understanding of IPC-2221 and IPC-7351 specifications; 10: Ability to acquire security clearance. We are looking for an Engineer - CAD CAM 3 to support Launch Vehicles Avionics Design Group DESIRED (not required) SKILLS: :: Working understanding of the Printed Wiring Assembly manufacturing process; :: Experience with CAM350 and/or Valor DFM software tools; :: Experience with OrCAD Layout and Mentor PADS or Xpedition tool suites; Duties and Responsibilities == Design/Layout printed wiring boards (PWBs) for military/aerospace avionics and test applications. == Communicate project status to your direct Manager and the Program Engineering Manager. == Collaborate with the circuit design engineer and mechanical engineers to ensure proper form, fit, and function of the design. == Participate in Peer Reviews and Design Milestone reviews throughout the development process No interview, relocation or living expenses provided Please send resume to - Amarx Search, Inc. - amarx.com

Dibble CM is looking for a motivated Project Engineer who is ready to join our Team. As a Project Engineer, you'll be part of a collaborative team of professionals dedicated to delivering critical public infrastructure projects that serve our communities. Responsibilities Project document control Manage distribution of submittals and requests for information Project cost review, monitoring and reporting Schedule review and management Meeting coordination Project development Qualifications Bachelor's degree in Construction Management, Construction Engineering, Civil Engineering or similar. Minimum of 2 years' experience working on public works construction projects. Proficiency in reading and understanding civil project plans and specifications. Familiarity with construction management software. Good written and verbal communication skills. Prefers working in a team environment. We are a Phoenix-based construction management company that specializes in providing construction management services for state and local public agencies throughout Arizona. The Dibble CM team enjoys our industry-leading benefits program, the ability to balance work and home life, and a clear path for development and growth. Benefits 100% premium-paid major medical, dental and vision coverage for employees and their families, life, short-term disability, long-term disability, a 401(k) plan with match and no waiting period, generous paid time off, 7 paid holidays, and tuition reimbursement programs including some that dependents are eligible for! Our people-focused culture is important, and we consider our employees to be our greatest asset. This culture is why we have so many long-term employees with our firm. Our employees enjoy an industry-leading benefits program, the ability to balance their home and work life, opportunities for growth and development, company activities, and various opportunities to give back through community service. Dibble CM is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status .

Ready to be pushed beyond what you think you're capable of? At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system. To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems. Our ******************************** is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. We are looking for a Machine Learning Engineer to join our Risk AI/ML team. We are dedicated to building the sophisticated models that protect our customers and make Coinbase the most trusted platform in crypto. Your work will directly prevent fraud, account takeovers, and scams, while enabling future products like instant guest checkout and Coinbase Cards. This is a hands-on technical role where you will leverage our cutting-edge, self-service ML platform to rapidly design, deploy, and iterate on the models that defend millions of users. *What you'll be doing:* * *Focus on Modeling:* Use our centralized, self-service ML platform to own the end-to-end development of ML models, from ideation to production. * *Improve Core Model Performance:* Join a high-priority "pod" to enhance our core models, including the *Scam Models, Transfer/Transaction Risk Models, Withdrawal Limit Models, *and* Account Takeover models.* * *Rapidly Respond to Threats:* Act on new threat data (identified by our Risk Operations partners) to build, train, and deploy permanent ML models that replace temporary rules-targeting a deploy-to-production timeline of under one week. * *Build & Deploy Scalable Models:* Develop production-grade AI/ML models and pipelines that enable reliable, real-time predictions, leveraging our platform's automated CI/CD pipelines and centralized feature store. * *Apply Advanced ML:* Apply modern methodologies (e.g., deep learning, NLP, *Graph Neural Networks (GNNs)*, *sequence modeling*, and *LLMs* for NLP and conversational agents) to solve complex, crypto-native challenges-all while focusing 100% on modeling, not infrastructure plumbing. * *Build Context-Aware Risk Systems:* Go beyond a single score. You will help build the adaptive logic that decides which friction (a quiz, an LLM agent, a human review) to apply to which user (e.g., new user, high-value trader), balancing security with user experience. * *Collaborate and Execute:* Work closely with stakeholders from Risk Operations, Platform Engineering, and Product Management to close the feedback loop, turning new threats into automated defenses. *What we look for in you:* * 4+ years of professional experience in software engineering and/or AI/ML, with experience deploying AI/ML systems into production. * *Passion & Values:* A commitment to building an open financial system and a strong desire to protect users from fraud and scams. You embody our core cultural values: add positive energy, communicate clearly, be curious, and be a builder. * *AI/ML Knowledge:* Familiarity with applied AI/ML techniques (e.g., Risk ML, deep learning, NLP, recommender systems, anomaly detection). * *Technical & Coding Skills:* Proficient coding skills (e.g., Python) with experience in AI/ML frameworks (TensorFlow, PyTorch). Experience in building backend systems with a focus on data processing or analytics is a plus. * *Team Collaboration:* Ability to work collaboratively on technical initiatives and contribute to impactful AI/ML solutions. * *Communication Skills:* Strong communication skills, with the ability to convey technical concepts to both technical and non-technical audiences. *Nice to Haves:* * Bachelor's degree in Computer Science, AI/ML, Data Science, or a related field. * Familiarity with modern data and AI/ML infrastructure (e.g., *Feature Stores* like Tecton, *Model Serving* like RayServe, Apache Airflow, *Spark*, *Kafka*). * Experience with *Graph Neural Networks (GNNs)* or *Sequential Models (like LSTMs)*. * Experience with *LLMs (NLP, fine-tuning, agentic systems)* or Reinforcement Learning. * Understanding of MLOps best practices, including monitoring and improving production models. * Experience with data analysis and visualization tools. Job ID: GPML04US *Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)). Pay Range: $152,405-$179,300 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations*********************************** *Global Data Privacy Notice for Job Candidates and Applicants* Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available ********************************************************** By submitting your application, you are agreeing to our use and processing of your data as required. *AI Disclosure* For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. *The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. What You'll Do As a Senior Machine Learning Engineer, you'll take a leadership role in developing and deploying state-of-the-art machine learning solutions that power Realtor.com's products and business strategy. You'll be building intelligent systems that optimize pricing, forecasting, and recommendation engines-improving our understanding of our entire customer portfolio and driving revenue growth. + Own the full ML lifecycle: from data exploration to model development, deployment, and continuous optimization. + Develop scalable, production-ready ML models that power key business initiatives, including monetization, pricing optimization, and intelligent recommendations. + Experiment and innovate-leverage AI to enhance customer insights and improve home search and listing experiences. + Mentor a team of talented machine learning engineers, guiding them in best practices for model development, deployment, and optimization. + Collaborate with cross-functional teams, including product managers, analysts, data engineers, and leadership, to identify high-impact opportunities and translate them into AI-driven solutions. + Deploy models at scale using modern cloud platforms (AWS/GCP), containerization (Docker), and ML frameworks like TensorFlow, PyTorch, or JAX. Top Reasons to Apply + Innovative Impact: Lead the full ML lifecycle to design and deploy cutting-edge models that directly drive revenue and improve customer experiences. + Technical Excellence: Tackle complex, industry-leading challenges using modern cloud platforms and ML frameworks while growing your expertise. + Empowering Culture: Mentor talented engineers in an environment where people are our foundation and you're trusted to own and innovate. How We Work: We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together. What You'll Bring: + Expertise in Applied ML - PhD/MS in computer science, statistics, mathematics, operations research or related fields and 2 years of relevant experience in data science, machine learning or applied statistics, with a strong background in information retrieval, forecasting, recommendation systems, or related ML applications. Experience with causal ML is a plus. + Production ML Experience - Hands-on experience deploying ML models at scale using cloud platforms like AWS, Kubernetes, or similar. + Extensive Technical Skills - Proficiency in Python, Spark, TensorFlow/PyTorch, and SQL. Experience with large-scale distributed systems is a plus. + Strong Creative Thinking & Problem-Solving Skills - Passion for tackling complex business challenges, improving customer experience, and driving measurable impact. + Excellent Communication - Ability to articulate ML concepts to both technical and non-technical stakeholders. Why Join Us? + Real-World Impact: Your models will directly drive revenue and shape how millions of users find success with connections from Realtor.com. + Technical Challenges: Work on some of the toughest ML optimization and AI challenges in real estate. + Growth & Leadership: Play a key role in mentoring and shaping the ML strategy for a growing team. + Culture of Innovation: We foster an agile, experimentation-driven culture that rewards curiosity and bold ideas. + Best-in-Class Benefits: Medical, dental, 401(k) match, tuition reimbursement, unlimited PTO, and more. How we Reward you: Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to: + Inclusive and Competitive medical, Rx, dental, and vision coverage + Family forming benefits + 13 Paid Holidays + Flexible Time Off + 8 hours of paid Volunteer Time off + Immediate eligibility into Company 401(k) plan with 3.5% company match + Tuition Reimbursement program for degreed and non-degreed programs + 1:1 personalized Financial Planning Sessions + Student Debt Retirement Savings Match program + Free snacks and refreshments in each office location Join Us & Shape the Future of Real Estate AI! If you're excited about building AI-driven solutions that revolutionize real estate, apply today! Do the best work of your life at Realtor.com Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. At Realtor.com, you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow. Diversity is important to us, therefore, Realtor.com is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com will provide reasonable accommodations for otherwise qualified disabled individuals. Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status. EEO/AA/M/F/Disabled/Vets

Machine Learning Engineer Why Nuclearn.ai Nuclearn.ai builds AI-powered software for the nuclear and utility industries-tools that keep critical infrastructure reliable, efficient, and safe. Our software integrates AI-driven workflow, documentation, and research automation, and is already used at 60+ nuclear reactors across North America. You'll ship production code operators and engineers rely on every day. We're growing quickly, expanding our team and our Phoenix HQ. The work is consequential: what you build helps real plants run safer and smarter. Eligibility: U.S. citizenship or permanent residency (green card) is required due to DOE export compliance. What You'll Do Collaborating closely with customers to understand their unique needs and tailoring AI solutions to meet specific industry challenges, particularly in the nuclear and utility sectors. Fine-tuning pre-trained language models for customer-specific classification, extraction, and prediction tasks. Designing, training, and validating custom ML pipelines to address domain-specific problems, ensuring high accuracy and performance in real-world applications. Implementing and optimizing ML models for deployment in production environments, with a focus on scalability and efficiency. Partnering with cross-functional teams, including development teams and domain experts, to ensure solutions align with customer workflows and objectives. Continuously improving models by leveraging customer feedback and incorporating new data. Driving innovation in the use of AI and ML within the nuclear and utility industries by experimenting with cutting-edge techniques and tools. What Makes You a Great Fit Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field 2+ years of experience implementing and deploying machine learning solutions, with at least 1 year of hands-on experience with language models Strong programming skills in Python and experience with PyTorch Demonstrated ability to translate technical capabilities into practical solutions Experience deploying models in production environments Nice To Have (not Required) Experience deploying models in production environments Prior experience working in a startup environment Knowledge of the nuclear or utility industries Compensation & Benefits Benefits: Unlimited PTO, health/dental/vision insurance Work Model & Schedule Full-time, salaried Mon-Fri hybrid (Wed remote); expectation is ≥80% in-office (Phoenix HQ) How We Hire (fast, respectful, practical) 20-min intro with the founder/hiring manager to trade context and assess mutual fit Practical work sample (60-90 min; a real task in our stack) Team meet + peer programming (system design + collaboration) We aim to move from first chat to decision quickly.

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. What You'll Do As a Senior Machine Learning Engineer, you'll take a leadership role in developing and deploying state-of-the-art machine learning solutions that power Realtor.com's products and business strategy. You'll be building intelligent systems that optimize pricing, forecasting, and recommendation engines-improving our understanding of our entire customer portfolio and driving revenue growth. Own the full ML lifecycle: from data exploration to model development, deployment, and continuous optimization. Develop scalable, production-ready ML models that power key business initiatives, including monetization, pricing optimization, and intelligent recommendations. Experiment and innovate-leverage AI to enhance customer insights and improve home search and listing experiences. Mentor a team of talented machine learning engineers, guiding them in best practices for model development, deployment, and optimization. Collaborate with cross-functional teams, including product managers, analysts, data engineers, and leadership, to identify high-impact opportunities and translate them into AI-driven solutions. Deploy models at scale using modern cloud platforms (AWS/GCP), containerization (Docker), and ML frameworks like TensorFlow, PyTorch, or JAX. Top Reasons to Apply Innovative Impact: Lead the full ML lifecycle to design and deploy cutting-edge models that directly drive revenue and improve customer experiences. Technical Excellence: Tackle complex, industry-leading challenges using modern cloud platforms and ML frameworks while growing your expertise. Empowering Culture: Mentor talented engineers in an environment where people are our foundation and you're trusted to own and innovate. How We Work: We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together. What You'll Bring: Expertise in Applied ML - PhD/MS in computer science, statistics, mathematics, operations research or related fields and 2 years of relevant experience in data science, machine learning or applied statistics, with a strong background in information retrieval, forecasting, recommendation systems, or related ML applications. Experience with causal ML is a plus. Production ML Experience - Hands-on experience deploying ML models at scale using cloud platforms like AWS, Kubernetes, or similar. Extensive Technical Skills - Proficiency in Python, Spark, TensorFlow/PyTorch, and SQL. Experience with large-scale distributed systems is a plus. Strong Creative Thinking & Problem-Solving Skills - Passion for tackling complex business challenges, improving customer experience, and driving measurable impact. Excellent Communication - Ability to articulate ML concepts to both technical and non-technical stakeholders. Why Join Us? Real-World Impact: Your models will directly drive revenue and shape how millions of users find success with connections from Realtor.com. Technical Challenges: Work on some of the toughest ML optimization and AI challenges in real estate. Growth & Leadership: Play a key role in mentoring and shaping the ML strategy for a growing team. Culture of Innovation: We foster an agile, experimentation-driven culture that rewards curiosity and bold ideas. Best-in-Class Benefits: Medical, dental, 401(k) match, tuition reimbursement, unlimited PTO, and more. How we Reward you: Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to: Inclusive and Competitive medical, Rx, dental, and vision coverage Family forming benefits 13 Paid Holidays Flexible Time Off 8 hours of paid Volunteer Time off Immediate eligibility into Company 401(k) plan with 3.5% company match Tuition Reimbursement program for degreed and non-degreed programs 1:1 personalized Financial Planning Sessions Student Debt Retirement Savings Match program Free snacks and refreshments in each office location Join Us & Shape the Future of Real Estate AI! If you're excited about building AI-driven solutions that revolutionize real estate, apply today! Do the best work of your life at Realtor.com Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. People are our foundation-the core that drives us passionately forward. At Realtor.com , you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow. Diversity is important to us, therefore, Realtor.com is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com will provide reasonable accommodations for otherwise qualified disabled individuals.

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. What You'll Do As a Staff Machine Learning Engineer, you'll take a leadership role in developing and deploying state-of-the-art machine learning solutions that power Realtor.com's products and business strategy. You'll be building intelligent systems that optimize pricing, forecasting, and recommendation engines-improving our understanding of our entire customer portfolio and driving revenue growth. * Own the full ML lifecycle: from data exploration to model development, deployment, and continuous optimization. * Develop scalable, production-ready ML models that power key business initiatives, including monetization, pricing optimization, and intelligent recommendations. * Experiment and innovate-leverage AI to enhance customer insights and improve home search and listing experiences. * Mentor a team of talented machine learning engineers, guiding them in best practices for model development, deployment, and optimization. * Collaborate with cross-functional teams, including product managers, analysts, data engineers, and leadership, to identify high-impact opportunities and translate them into AI-driven solutions. * Deploy models at scale using modern cloud platforms (AWS/GCP), containerization (Docker), and ML frameworks like TensorFlow, PyTorch, or JAX. Top Reasons to Apply * Innovative Impact: Lead the full ML lifecycle to design and deploy cutting-edge models that directly drive revenue and improve customer experiences. * Technical Excellence: Tackle complex, industry-leading challenges using modern cloud platforms and ML frameworks while growing your expertise. * Empowering Culture: Mentor talented engineers in an environment where people are our foundation and you're trusted to own and innovate. How We Work: We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together. What You'll Bring: * Expertise in Applied ML - PhD/MS in computer science, statistics, mathematics, operations research or related fields and 2 years of relevant experience in data science, machine learning or applied statistics, with a strong background in information retrieval, forecasting, recommendation systems, or related ML applications. Experience with causal ML is a plus. * Production ML Experience - Hands-on experience deploying ML models at scale using cloud platforms like AWS, Kubernetes, or similar. * Extensive Technical Skills - Proficiency in Python, Spark, TensorFlow/PyTorch, and SQL. Experience with large-scale distributed systems is a plus. * Strong Creative Thinking & Problem-Solving Skills - Passion for tackling complex business challenges, improving customer experience, and driving measurable impact. * Excellent Communication - Ability to articulate ML concepts to both technical and non-technical stakeholders. Why Join Us? * Real-World Impact: Your models will directly drive revenue and shape how millions of users find success with connections from Realtor.com. * Technical Challenges: Work on some of the toughest ML optimization and AI challenges in real estate. * Growth & Leadership: Play a key role in mentoring and shaping the ML strategy for a growing team. * Culture of Innovation: We foster an agile, experimentation-driven culture that rewards curiosity and bold ideas. * Best-in-Class Benefits: Medical, dental, 401(k) match, tuition reimbursement, unlimited PTO, and more. How we Reward you: Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to: * Inclusive and Competitive medical, Rx, dental, and vision coverage * Family forming benefits * 13 Paid Holidays * Flexible Time Off * 8 hours of paid Volunteer Time off * Immediate eligibility into Company 401(k) plan with 3.5% company match * Tuition Reimbursement program for degreed and non-degreed programs * 1:1 personalized Financial Planning Sessions * Student Debt Retirement Savings Match program * Free snacks and refreshments in each office location Join Us & Shape the Future of Real Estate AI! If you're excited about building AI-driven solutions that revolutionize real estate, apply today! Do the best work of your life at Realtor.com Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. At Realtor.com, you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow. Diversity is important to us, therefore, Realtor.com is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com will provide reasonable accommodations for otherwise qualified disabled individuals.

**Compensation is between $85,000 to $95,000 DOE** **Hiring Bonus** At Clark Pacific, exciting building projects are just the beginning! As the West Coast's leading prefabricator of building systems, our talented team of professionals bridge the gap between construction and manufacturing every day, providing solutions and innovations that deliver high-performance structures with enhanced cost, schedule, and safety. It all starts with the Clark Pacific Employee Experience: top talent people working together in an environment that fosters collaboration, growth & development, and compassion. We are great people doing great things, together! We have over 60 years of experience and have successfully contributed to some of the West Coast's most iconic buildings including the Golden 1 Center, the Apple II Campus, the San Francisco 49ers stadium, and the Stanford Escondido Village Graduate Housing to name just a few. When people want to experience, quality, and a partner they can trust, they choose Clark Pacific. Repeat customers, numerous building and environmental stewardship awards, and great employees are some of the things for which we are most proud and grateful. Clark Pacific is seeking a Project Engineer to support our CA locations. Overview of the position: At Clark Pacific, the Project Engineer is a position that facilitates the successful design, fabrication, and installation of architectural and structural building systems. Working as part of an integrated team within a specific business unit, this role applies engineering, project management, problem solving, and communication skills across all levels and disciplines within the organization, significantly contributing to the project success of some of the West Coast's most iconic and exciting prefabricated buildings. Initial activities pertaining to the Design Phase, including, but not limited to: Submittal drawings (floor plans, elevations, material specifications, connection details, Reinforcing details, General panel details, Design approvals, Reinforcement drawings, and Miscellaneous metal drawings. Manufacturing-related activities pertaining to the Production Phase, including, but not limited to: Providing complete shop drawings (panel elements, structural elements, formwork, form change studies, Birdseye, stripping and yard handling studies to facilitate manufacturing, Ensuring purchasing of all required materials and forms, Design lifting hardware, loops, rigging, brackets, and inserts for stripping and handling forces, Provide and maintain a casting schedule, Perform quality checks, and Engage in start-up meetings with manufacturing, and remain engaged throughout each project's life cycle. Field-related activities pertaining to the Erection Phase, including, but not limited to: Preparing crane studies, rigging diagrams, and the overall project erection plan as well as erection sequence, load lists, and diagrams, Coordinate shipping of miscellaneous metal, Coordinate field manpower requirements with Field & Trucking team to alignment to budget, Ensure fall protection plan is in place, Professionally represent the Company at the field erection site, and Inspect erection quality and performance to plan and budget. General project management including, but not limited to: Project performance to contract specifications, budget, and time commitments, Issue identification, problem-solving, resolution, and escalation (as necessary), Coordinate necessary and requested procedure submittals (such as welding, grouting, post-tensioning, etc., Engage with internal resources throughout the Company to contribute, learn, and develop professionally. Preferred Education and Experience BS in Civil Engineering or Mechanical Engineering, or an Engineering-related degree EIT certification preferred Interested? Want to learn more? If you're a hard-working nice person who is smart and curious, and think that this position is right for you, we want to hear from you. Please apply and let's begin the journey. Welcome to Clark Pacific. Let's do great things together! Clark Pacific is an Equal Opportunity Employer #MV-L1

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. What You'll Do As a Staff Machine Learning Engineer, you'll take a leadership role in developing and deploying state-of-the-art machine learning solutions that power Realtor.com's products and business strategy. You'll be building intelligent systems that optimize pricing, forecasting, and recommendation engines-improving our understanding of our entire customer portfolio and driving revenue growth. Own the full ML lifecycle: from data exploration to model development, deployment, and continuous optimization. Develop scalable, production-ready ML models that power key business initiatives, including monetization, pricing optimization, and intelligent recommendations. Experiment and innovate-leverage AI to enhance customer insights and improve home search and listing experiences. Mentor a team of talented machine learning engineers, guiding them in best practices for model development, deployment, and optimization. Collaborate with cross-functional teams, including product managers, analysts, data engineers, and leadership, to identify high-impact opportunities and translate them into AI-driven solutions. Deploy models at scale using modern cloud platforms (AWS/GCP), containerization (Docker), and ML frameworks like TensorFlow, PyTorch, or JAX. Top Reasons to Apply Innovative Impact: Lead the full ML lifecycle to design and deploy cutting-edge models that directly drive revenue and improve customer experiences. Technical Excellence: Tackle complex, industry-leading challenges using modern cloud platforms and ML frameworks while growing your expertise. Empowering Culture: Mentor talented engineers in an environment where people are our foundation and you're trusted to own and innovate. How We Work: We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together. What You'll Bring: Expertise in Applied ML - PhD/MS in computer science, statistics, mathematics, operations research or related fields and 2 years of relevant experience in data science, machine learning or applied statistics, with a strong background in information retrieval, forecasting, recommendation systems, or related ML applications. Experience with causal ML is a plus. Production ML Experience - Hands-on experience deploying ML models at scale using cloud platforms like AWS, Kubernetes, or similar. Extensive Technical Skills - Proficiency in Python, Spark, TensorFlow/PyTorch, and SQL. Experience with large-scale distributed systems is a plus. Strong Creative Thinking & Problem-Solving Skills - Passion for tackling complex business challenges, improving customer experience, and driving measurable impact. Excellent Communication - Ability to articulate ML concepts to both technical and non-technical stakeholders. Why Join Us? Real-World Impact: Your models will directly drive revenue and shape how millions of users find success with connections from Realtor.com. Technical Challenges: Work on some of the toughest ML optimization and AI challenges in real estate. Growth & Leadership: Play a key role in mentoring and shaping the ML strategy for a growing team. Culture of Innovation: We foster an agile, experimentation-driven culture that rewards curiosity and bold ideas. Best-in-Class Benefits: Medical, dental, 401(k) match, tuition reimbursement, unlimited PTO, and more. How we Reward you: Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to: Inclusive and Competitive medical, Rx, dental, and vision coverage Family forming benefits 13 Paid Holidays Flexible Time Off 8 hours of paid Volunteer Time off Immediate eligibility into Company 401(k) plan with 3.5% company match Tuition Reimbursement program for degreed and non-degreed programs 1:1 personalized Financial Planning Sessions Student Debt Retirement Savings Match program Free snacks and refreshments in each office location Join Us & Shape the Future of Real Estate AI! If you're excited about building AI-driven solutions that revolutionize real estate, apply today! Do the best work of your life at Realtor.com Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. People are our foundation-the core that drives us passionately forward. At Realtor.com , you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow. Diversity is important to us, therefore, Realtor.com is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com will provide reasonable accommodations for otherwise qualified disabled individuals.

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. What You'll Do As a Senior Machine Learning Engineer, you'll take a leadership role in developing and deploying state-of-the-art machine learning solutions that power Realtor.com's products and business strategy. You'll be building intelligent systems that optimize pricing, forecasting, and recommendation engines-improving our understanding of our entire customer portfolio and driving revenue growth. * Own the full ML lifecycle: from data exploration to model development, deployment, and continuous optimization. * Develop scalable, production-ready ML models that power key business initiatives, including monetization, pricing optimization, and intelligent recommendations. * Experiment and innovate-leverage AI to enhance customer insights and improve home search and listing experiences. * Mentor a team of talented machine learning engineers, guiding them in best practices for model development, deployment, and optimization. * Collaborate with cross-functional teams, including product managers, analysts, data engineers, and leadership, to identify high-impact opportunities and translate them into AI-driven solutions. * Deploy models at scale using modern cloud platforms (AWS/GCP), containerization (Docker), and ML frameworks like TensorFlow, PyTorch, or JAX. Top Reasons to Apply * Innovative Impact: Lead the full ML lifecycle to design and deploy cutting-edge models that directly drive revenue and improve customer experiences. * Technical Excellence: Tackle complex, industry-leading challenges using modern cloud platforms and ML frameworks while growing your expertise. * Empowering Culture: Mentor talented engineers in an environment where people are our foundation and you're trusted to own and innovate. How We Work: We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together. What You'll Bring: * Expertise in Applied ML - PhD/MS in computer science, statistics, mathematics, operations research or related fields and 2 years of relevant experience in data science, machine learning or applied statistics, with a strong background in information retrieval, forecasting, recommendation systems, or related ML applications. Experience with causal ML is a plus. * Production ML Experience - Hands-on experience deploying ML models at scale using cloud platforms like AWS, Kubernetes, or similar. * Extensive Technical Skills - Proficiency in Python, Spark, TensorFlow/PyTorch, and SQL. Experience with large-scale distributed systems is a plus. * Strong Creative Thinking & Problem-Solving Skills - Passion for tackling complex business challenges, improving customer experience, and driving measurable impact. * Excellent Communication - Ability to articulate ML concepts to both technical and non-technical stakeholders. Why Join Us? * Real-World Impact: Your models will directly drive revenue and shape how millions of users find success with connections from Realtor.com. * Technical Challenges: Work on some of the toughest ML optimization and AI challenges in real estate. * Growth & Leadership: Play a key role in mentoring and shaping the ML strategy for a growing team. * Culture of Innovation: We foster an agile, experimentation-driven culture that rewards curiosity and bold ideas. * Best-in-Class Benefits: Medical, dental, 401(k) match, tuition reimbursement, unlimited PTO, and more. How we Reward you: Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to: * Inclusive and Competitive medical, Rx, dental, and vision coverage * Family forming benefits * 13 Paid Holidays * Flexible Time Off * 8 hours of paid Volunteer Time off * Immediate eligibility into Company 401(k) plan with 3.5% company match * Tuition Reimbursement program for degreed and non-degreed programs * 1:1 personalized Financial Planning Sessions * Student Debt Retirement Savings Match program * Free snacks and refreshments in each office location Join Us & Shape the Future of Real Estate AI! If you're excited about building AI-driven solutions that revolutionize real estate, apply today! Do the best work of your life at Realtor.com Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. At Realtor.com, you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow. Diversity is important to us, therefore, Realtor.com is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com will provide reasonable accommodations for otherwise qualified disabled individuals.