Operations engineer jobs in Valinda, CA - 2,310 jobs

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee. Note on Cleared Roles: If this position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. Are you looking for an opportunity to combine your technical skills with big picture thinking to make an impact in the DoD? You understand your customer's environment and how to develop the right systems for their mission. Your ability to translate real-world needs into technical specifications makes you an integral part of delivering a customer focused engineering solution. At Vantor, you'll work with the U.S. Space Force as part of the effort to develop and rapidly deploy the next generation of resilient Missile Warning (MW), Tactical Intelligence, Surveillance, and Reconnaissance (TISR), and Environmental Monitoring (EM) capabilities to deter attacks and provide critical information to our warfighters to defeat our enemies in battle. Within this role, you will lead a Systems, Engineering, and Integration (SE&I) team to plan and execute SE&I processes for space programs, including requirements analysis, architecture design, integration, testing, verification, and transition. Plan and coordinate SE&I activities across the SE&I team and broader stakeholder community, including the Federally Funded Research and Developmental Centers (FFRDCs), development contractors, and external stakeholders. Grow your skills by researching new requirements, technologies, and threats and using innovative engineering methodologies and tools to create tomorrow's solutions. Join our team and create the future of Remote Sensing in the Space Force. Due to the nature of work performed within this facility, U.S. citizenship is required. Empower change with us. Build Your Career: When you join Vantor, you'll have the opportunity to connect with other professionals doing similar work across multiple markets. You'll share best practices and work through challenges as you gain experience and mentoring to develop your career. In addition, you will have access to a wealth of training resources through our Digital University, an online learning portal where you can access more than 5000 tech courses, certifications and books. Build your technical skills through hands-on training on the latest tools and tech from our in-house experts. Pursuing certifications? Take advantage of our tuition assistance, on-site courses, vendor relationships, and a network of experts who can give you helpful tips. We'll help you develop the career you want as you chart your own course for success. Qualifications: Secret clearance Bachelor's degree in a Science, Technology, Engineering, or Mathematics (STEM) field 10+ years of experience with performing SE&I tasks on a major DoD or IC space programs 5+ years of experience with leading a team performing SE&I on large-scale national security satellite programs Experience with leading a team for development of technical specifications, interface control documents, integration plans and schedules, and inter-service support agreements Knowledge of DoD 5000.01 and 5000.02 Ability to communicate and establish collaborative relationships with government clients, FFRDCs, and associate contractor teammates to achieve program goals Preferred Qualifications: Experience leading a team performing SE&I tasks on Space-Based Environmental Monitoring (SBEM) systems Experience leading a team using a Model-Based Systems Engineering approach to manage system definitions and technical baselines Knowledge of systems engineering standards, including IEEE 15288.1 and IEEE 15288.2 Knowledge of Agile Methodologies Ability to be highly motivated with a dynamic work ethic and demonstrate a strong desire to contribute to the DoD mission Ability to perform multiple systems engineering and program management functions in support of design reviews and requirements verification Ability to identify, analyze, and resolve technical risks and issues, develop technical reports, and collaborate with government and other stakeholders to implement recommended solutions TS/SCI clearance Master's degree in Engineering, Mathematics, Physics, or CS INCOSE Systems Engineering Professional Certification, including ASEP, CSEP, or ESEP Certification #cjpost #LI-CJ1 Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range. The base pay for this position within California, Colorado, Hawaii, New Jersey, the Washington, DC metropolitan area, and for all other states is: $137,000.00 - $229,000.00 Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: ****************************** The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

Imagine what you can do here! We are committed to pushing the boundaries of innovation and engineering excellence in product designs through machine learning and FEA simulations. We truly believe in the power of predictive simulation to make the impossible possible, transform industries and improve people's lives. As a member of the Product Design FEA team, you will play a pivotal role in developing innovative machine learning technologies and directly impact the success of new iPhone, iPad, Mac, Apple Watch, Vision Pro and many more future products. Come join us and put a dent in the universe! Description As a core member of the product design team, you will be responsible for developing and implementing ground-breaking machine learning methods that are based on predictive finite element simulations and important design load cases. The machine learning models will drive rapid design iterations by assessing potential risks and optimizing design trade-offs. You will be fully integrated with the product design team from the earliest stages to engineer ground breaking products. Minimum Qualifications Strong Expertise in Machine Learning, Deep Learning, and Optimization Knowledges of Finite Element Analysis and/or other numerical methods in computational physics and mechanics Proficiency in Python and relevant packages for ML Passion for creating innovative, high-quality products Desire to work in a fast-paced environment with passion for creating cutting edge products M.S. in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline along with 3+ years of relevant experience Preferred Qualifications Strong expertise in GNNs, CNNs, and transformer-based architectures Implement and optimize these models for large-scale datasets on scalable ML platforms Ability to work independently in white space and deal with an incredible fast-paced environment Excellent cross-functional collaboration and written and verbal communication skills Ph.D. in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline Publications in top journals or conferences At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting‑edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. About the Team Anduril Maritime delivers platforms, systems, and integrated effects in the maritime domain. Our autonomous vehicles (sub‑surface and surface) are the cornerstone of these capabilities, and we continually strive to push the boundaries of the possible in terms of endurance, autonomy and mission capability. The Maritime team develops and maintains core products and payloads, and adapts and applies those products to serve a wide variety of defense, IC and commercial customers in US and international markets. About the Job We are seeking a Machine Learning/MLOps Engineer to join the Applied Intelligence team within Maritime Digital Production. You will help build the applied AI and automation systems that streamline business processes and shipyard workflows across design, production, logistics, and quality. This role focuses on operationalizing models, automating manual workflows, and developing the infrastructure that enables AI‑driven decision support across the Build Chain. You'll work across software, data, and operational technology domains to develop pipelines, model‑serving components, orchestration logic, and monitoring tools that keep AI‑enabled workflows reliable, auditable, and safe. You will translate real user pain points into automated digital workflows-applying AI only where it adds value and leaning on simpler automation when it doesn't. Your work will improve throughput, reduce administrative burden, and accelerate decision velocity across the broader Maritime Digital ecosystem. What You'll Do Develop and maintain data pipelines, feature engineering workflows, and model‑serving components that support applied AI use cases across the yard. Implement automation workflows that streamline business and production processes-applying models, logic, and orchestration to remove manual steps and reduce friction. Integrate off‑the‑shelf models (OCR/IDP, CV, RAG, STT) into workflow solutions using standardized APIs, datasets, and orchestration layers. Build and maintain MLOps pipelines for data ingestion, labeling, versioning, training, evaluation, deployment, monitoring, and rollback. Deploy workflow automation and model‑serving components in event‑driven environments integrated with PLM, MES, CMMS, ERP, and unified data layers. Contribute to observability tools for monitoring inference performance, data quality, and workflow reliability. Collaborate with digital, manufacturing, and corporate technology teams to map current workflows, identify automation opportunities, and integrate solutions safely. Ensure all deployed AI/automation workflows include human‑in‑the‑loop gates, audit trails, and compliance features required for production operations. Document integration contracts, workflow logic, data flows, and operational runbooks to support scaling and handoff. Required Qualifications Strong stakeholder and cross‑functional communication skills; able to gather workflow requirements and convert them into technical automation. 3-6 years of experience in machine learning engineering, MLOps, or backend workflow automation. Proficiency in Python and experience with ML frameworks (PyTorch or TensorFlow) and data processing libraries. Experience building and deploying containerized services (Docker; familiarity with Kubernetes preferred). Understanding of MLOps practices: data pipelines, model versioning, evaluation, CI/CD for ML, monitoring, and retraining. Experience working with off‑the‑shelf models (OCR/IDP, CV, STT, RAG) and integrating them into workflow pipelines. Familiarity with event‑driven architectures, IoT or UNS patterns, and integration with enterprise systems. Experience with APIs, schema‑based integration, and data contracts. Strong problem‑solving skills with an ability to simplify workflows into modular, reusable automation components. Eligible to obtain and maintain an active U.S. Secret security clearance. Preferred Qualifications Experience automating workflows in manufacturing, logistics, or enterprise business processes. Experience with workflow orchestration tools (Airflow, Flyte, Prefect, Temporal). Familiarity with data engineering concepts, time‑series data, and semantic/ontology‑driven data structures. Exposure to observability systems (Prometheus, Grafana, ELK) for monitoring workflow reliability or model performance. Experience integrating AI models with PLM, MES, ERP, CMMS, or similar industrial systems. Interest in developing adaptive, human‑in‑the‑loop workflow automations that blend ML, rules, and operational context. US Salary Range $191,000 - $253,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full‑time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full‑time employees, including: Benefits Healthcare Benefits US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you. UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents. IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents. Additional Benefits Income Protection: Anduril covers life and disability insurance for all employees. Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs. Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting. Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work‑life services, such as legal and financial support, are also available. Professional Development: Annual reimbursement for professional development. Commuter Benefits: Company‑funded commuter benefits based on your region. Relocation Assistance: Available depending on role eligibility. Retirement Savings Plan US Roles: Traditional 401(k), Roth, and after‑tax (mega backdoor Roth) options. UK & IE Roles: Pension plan with employer match. AUS Roles: Superannuation plan. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. To view Anduril's candidate data privacy policy, please visit ********************************************** #J-18808-Ljbffr

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy . About the Role: Gusto's Data Science team leverages Gusto's rich dataset to guide product direction and decision-making. We operate full-stack, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers. For this role, we are looking for a technical leader (an individual contributor) to drive machine learning and AI in the payment and risk domains. You will build a model-driven risk platform to provide a trusted environment for Gusto Ecosystem. You'll be working with an established team and seasoned payments and risk leaders in Engineering, Product, Design, Operation, Identity and Compliance. In this role, you'll work cross functionally to build Platforms that span the entire breadth of the Payments and Risk Stacks, and use ML and AI to build a world- class, high secure platform that safeguards our users' activities and money, and ensures unparalleled reliability. Here's what you'll do day-to-day: Build and deploy machine learning models to identify, assess and mitigate risks Responsible for driving research in the problem space, working with stakeholders to understand model requirements, developing the model from scratch, deploying the model alongside your engineering counterparts, and monitoring and maintaining the model's performance over time Partner with Engineering, Design, and Product counterparts in Payment and Risk to solve complex cross functional problems Develop scalable frameworks and libraries that enhance and contribute to the team's core analysis and modeling capabilities, including through the integration of LLMs to improve data processing, analysis, and insights. Identify new opportunities to leverage data to improve Gusto's products and help risk management team to understand business requirements and develop tailored solutions Present and communicate results to stakeholders across the company Here's what we're looking for: 8+ years of experience conducting statistical analyses on large datasets and deep domain knowledge in machine learning and artificial intelligence, including familiarity with Large Language Models (LLMs) and their applications. This could mean either a MS or PhD in a quantitative field with at least 5 years experience in a business environment, or BS or Data Science Bootcamp graduate with at least 8 years of experience working as a data scientist or a machine learning engineer in a business setting. Proven experience in credit risk modeling or fraud risk modeling using logistic regression, random forest, Xgboost or neural networks, along with a strong understanding of AI-based approaches and the potential of LLMs to enhance traditional models. Experience applying a variety of statistical and modeling techniques using Python, R or another statistical modeling language, as indicated by familiarity with many of the following techniques - predictive modeling, anomaly detection, ensemble methods, natural language processing (NLP, optional). Basic understanding of LLMs and their applications. Strong programming skills - comfortable with all phases of the data science development process, from initial analysis and model development to deployment Excellent communication skills - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion PhD or Masters plus equivalent experience in a quantitative field is a plus Experience in the Fintech industry is a plus Our cash compensation amount for this role is targeted at $225,000 - $285,000 for San Francisco, New York, and Seattle, $205,000- $255,000 in Los Angeles, $187,000 - $235,000 in Denver, and $200,000 - $250,000 CAD for Toronto, Canada. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Interested in building your career at Gusto, Inc.? 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We are seeking a Lead Machine Learning Engineer with a passion for cutting‑edge AI to drive impactful solutions in the Customer Support domain. This role offers the opportunity to lead applied research and engineering efforts that bring intelligent automation and personalized experiences to millions of customers across Disney's media platforms. You'll partner with cross‑functional teams to design, prototype, and productionize AI‑driven systems - from natural language understanding to agent assist tools and predictive analytics - all with the goal of enhancing the customer support experience. Job Summary Our work is at the intersection of technology and storytelling. We build world‑class products that support Disney's streaming, digital, and advertising businesses, delivering scale, velocity, and innovation at a global level. Responsibilities Rapidly analyze and prototype AI‑driven solutions for self‑service and CS agent tools. Own and maintain production AI systems, including LLM‑based solutions; optimize, fine‑tune, and debug for robustness and performance. Bridge customer support needs with commerce platform capabilities, identifying appropriate AI solutions versus new development. Assess effectiveness of deployed AI solutions, iterating and sunsetting or replacing those that lack meaningful impact. Collaborate with other AI‑focused teams across Disney Streaming to share innovations and adopt best practices. Qualifications Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field; PhD is a plus. 2+ years of experience building, deploying, and evaluating LLM‑based solutions. Minimum 7 years of related work experience in real‑world ML solution deployment. Proficiency in Python, SQL, and relevant programming languages. Experience with data wrangling tools (Pandas, NumPy) and databases (MySQL, PostgreSQL). Familiarity with big‑data and workflow platforms (Spark, Databricks, Snowflake, Airflow, Jupyter, GitHub). Proven experience leading end‑to‑end ML project lifecycles, including model design, experimentation, deployment CI/CD, and monitoring. Strong problem‑solving, communication, and collaboration skills. Preferred Qualifications Experience working with Amazon Web Services. Experience with Tableau, Power BI, or similar analytics platforms. Experience building anomaly detection models. Compensation & Benefits The hiring range for this position in New York, NY is $175,800 to $235,700 per year; in Los Angeles, CA $167,700 to $224,900 per year; and in San Francisco, CA $183,700 to $246,400 per year. The base pay will also reflect internal equity and other factors. Bonuses and long‑term incentive units may also be provided. Standard benefits include medical, financial, and other typical Disney employment perks. About Disney Entertainment and ESPN Product & Technology We blend imagination and innovation to reimagine how people experience Disney's stories and products. Our team builds technology backbone for Disney's global media business. Equal Employment Opportunity Disney is an equal‑opportunity employer and welcomes candidates from all backgrounds. We will provide reasonable accommodations for applicants with disabilities. If you need an accommodation, email Candidate.Accommodations@Disney.com. #J-18808-Ljbffr

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world‑class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry‑leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. The Ad Platform research team is under Ad Platforms and its mission is to transform advertising and Disney's Ad platform with AI and data science. We build solutions to measure and optimize every aspect of the advertising life cycle. Our tenant is a strong cross‑domain team to deliver E2E solutions for machine learning and data science. Our team is seeking a lead machine learning engineer who will be an outstanding addition and leading development for prediction or optimization engines for addressable ad platforms. The right person for this role should be experienced in crafting implementation for either machine learning technologies or data‑driven algorithms. If you are someone who is proactive and innovative in these domains, this is a phenomenal role for you! WHAT YOU'LL DO Drive ground‑breaking innovation and apply state of the art AI and machine learning in a variety of areas to enhance every aspect of advertising, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. Invent and iterate novel solutions for complex ad challenges with fast turnaround. Lead the ad algorithm architecture design and iteration of the advertising system. Develop scalable and efficient approaches for large scale data analysis and model development. Build and experiment new algorithms and models end‑to‑end, from production rollout to continuous optimization. Collaborate with engineering teams, product managers, and program managers in an open and creative environment. Mentor team members and support their technical growth. WHAT TO BRING Bachelors degree (MS or PhD preferred) in computer science or equivalent experience At least 7 years of working experience on large scale machine learning at leading internet companies. Experience in the advertising domain is preferred. Experience with forecasting algorithm is preferred. Strong knowledge of AI/ML technologies, mathematics and statistics. Proficient in Java, Python, Scala, large scale ML/DL platforms and processing tech stack. Passionate about understanding the ad business, applying advanced research to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness. Passionate about technology, open to interdisciplinary collaborations, and experienced in building data‑driven services and applications. A proven track record of thriving in a fast‑paced, data‑driven, and collaborative work environment is required. NICE-TO-HAVES Experience in digital video advertising or digital marketing domain Experience with CTR/CVR model, generative AI, forecasting model. Experience with feature store, audience segmentation and MLOps Experience with Tensorflow, Kubeflow, Databricks or SageMaker #DISNEYTECH The hiring range for this position in Santa Monica, CA is $171,600 to $230,100 per year and in Seattle is $179,700 to $241,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job‑related knowledge, skills, and experience among other factors. A bonus and/or long‑term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. #J-18808-Ljbffr

Zora is a new kind of on-chain social network where you can express yourself freely, connect with others, and discover the value of your imagination. We believe that by using crypto, we can enable a more equitable system for creators, fundamentally rediscovering the power of the internet. About The Role: We're looking for an experienced protocol engineer to join our Trade team, building the experiences that power hundreds of millions in on-chain volume on Zora. In this role, you'll be responsible for designing, implementing, and maintaining the core smart contracts contributing to the evolution of Zora's protocol layer. You'll build protocol components for onchain trading/market infrastructure on Zora with creator markets, Uniswap integration, and various vesting and rewards contracts, with safety and UX constraints aligning with Zora's needs What You'll Do: Contribute to the Zora protocol by designing and implementing smart contracts Handle maintenance, security review, and full protocol lifecycle Write adversarial tests (fuzzing, invariant/property-based testing) and maintain a security-first mindset in development and review Partner with auditors and respond to findings; drive fixes through deployment Participate in RFC and code review process with a security and reusability mindset Collaborate across engineering teams to integrate smart contracts across the stack Communicate status, updates, blockers, etc., to cross-functional stakeholders What We're Looking For: 4+ years of experience shipping production-level contracts or protocol features Experience with DeFi protocols Deep understanding of EVM Familiarity with Git, Foundry, Hardhat and modern solidity toolchains Experience with formal/invariant thinking, MEV considerations, upgrade safety, and incident response Comfort moving across the stack when needed (TypeScript / React / Next / Python) High degree of ownership and autonomy Strong communication and collaboration skills, across both technical and non-technical teams Here's the Pay Range: At Zora, we carefully consider a variety of factors to determine compensation for each position, including the role, level, and work. The US base salary range for this position is: Pay Range: $200,000 - $300,000 base salary + equity + tokens This reflects the compensation target for new hire salaries for the position across all US locations. Please note, the compensation details provided do not include benefits and perks that we offer. We also rely on market indicators along with considering your work location, job related skills, experience and relevant education and training, to determine compensation that is fair and competitive for you. Zora will consider paying compensation near the higher of the range in exceptional circumstances, where candidates have the experience, credentials or expertise that would warrant such consideration. It is always our goal to hire exceptional talent and we would be happy to share more about compensation during the hiring process. Zora is an Equal Opportunity Employer. We do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation. Why Join Us? US-based, full-time employees are eligible for the following: Remote-First Culture:Work from anywhere in the world! Competitive Compensation:Including salary, pre-IPO stock options, token compensation, and additional financial incentives Comprehensive Benefits:Robust healthcare options, including fully covered medical, dental, and vision for employees Retirement Contributions:Up to 4% employer match on your 401(k) contributions Health & Wellness:Free memberships to One Medical, Teladoc, and Health Advocate Unlimited Time Off:Flexible vacation policies, company holidays, and recharge weeks to prioritize wellness Home Office Reimbursement:To cover home office items, monthly home internet, and monthly cell phone (if applicable) Ease of Life Reimbursement:To cover everything from an Uber home in the rain, childcare, or meal delivery Career Development:Access to mentorship, training, and opportunities to grow your career Inclusive Environment:A culture dedicated to diversity, equity, inclusion, and belonging Our Location: Zora is remote-first and international. Our headquarters are the internet and we have employees all over the world. We're currently in Los Angeles, New York, San Francisco, Sydney, Berlin, Lisbon, and Vancouver. Zora is a decentralized, on-chain social network where every post and profile is a tradable token, aiming to create a new creator economy. It allows creators to monetize their content directly by turning posts into unique, tradable ERC-20 tokens, which can be bought, sold, and collected. #J-18808-Ljbffr

A major global entertainment company seeks a Lead Software Engineer focused on AI Operations and Tooling in San Francisco. This position emphasizes operational architecture, observability, and cost management for AI applications across AWS, Azure, and GCP. Candidates should have 7+ years in software engineering, expertise in foundational programming languages, and experience with cloud infrastructure. Join us to innovate and drive efficiency for cutting-edge AI systems, ensuring reliability and collaboration across teams. #J-18808-Ljbffr

Santa Ana, CA (Onsite) Direct Hire JPC - 19745 We are looking for a CRM Engineer. This is a direct hire opportunity based out of Santa Ana, CA (Onsite). We are seeking a Microsoft Dynamics 365 Architect with a strong background in design, architecture, as well as customizations & configurations. As a Microsoft Dynamics Architect, you will play a crucial role in designing, customizing, configuring, & optimizing the Microsoft Dynamics 365 Sales (v.9) platform to meet the unique business requirements of our team. You will work closely with the CRM project team, end-users, and stakeholders to understand their needs and implement effective solutions within the Microsoft Dynamics 365 ecosystem. Qualifications: Bachelor's degree or equivalent experience. 8+ years of experience with Microsoft Dynamics CRM/D365 CE/Sales. 3+ years in an architectural or senior technical leadership role. Strong understanding of Microsoft Dynamics 365 Sales (v.9), including configuration capabilities and features. Experience with Power Platform (Power Apps, Power Automate, Power BI, Dataverse). Proficiency in C#, JavaScript, FetchXML, and Web APIs. Strong experience with Azure services (Logic Apps, Functions, Service Bus). Excellent problem-solving and analytical skills, with the ability to troubleshoot issues and provide effective solutions. Strong communication and interpersonal skills to collaborate with cross-functional teams and stakeholders. Ability to work independently and manage time effectively, delivering high-quality results within deadlines. Preferred: Microsoft Certified: Dynamics 365 + Power Platform Solution Architect Expert. Experience with Agile/Scrum methodologies and DevOps practices. Responsibilities: Solution Architecture & Design Lead end-to-end solution design for Microsoft Dynamics 365 Sales, ensuring scalability, performance, and integration readiness. Define technical and functional architecture for new and existing implementations. Collaborate with business stakeholders to translate business needs into technical requirements. Platform Configuration & Customization Guide the implementation of standard and custom entities, workflows, plugins, Power Automate flows, and model-driven apps. Oversee the use of Dynamics 365 customization tools, including JavaScript, Power Apps, and Power Platform tools. Integration & Data Strategy Design integrations with other business systems (ERP, marketing, third-party platforms) using Azure services, APIs, and middleware tools. Define data migration, synchronization, and master data strategies. Governance & Best Practices Establish development standards, documentation practices, and governance frameworks. Promote consistency, code reusability, and security compliance across all CRM projects. Team Leadership & Mentorship Serve as a technical mentor for Dynamics developers and consultants. Collaborate with project managers, business analysts, and IT stakeholders to ensure delivery of high-quality solutions. Core Competencies: Strategic thinking and problem-solving ability. Excellent communication and stakeholder engagement skills. Strong documentation and technical presentation skills. Passion for continuous learning and innovation. Physical Requirements & Work Environment: This job operates in an office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. This may not be all-inclusive, and employees are expected to perform all other duties as assigned and/or directed by management. Job descriptions and duties may be modified when deemed appropriate by management. Annual Base Salary Range for CA, CO, IL, NJ, NY, WA, and DC: $115,000 to $140,000. Actual compensation offered may vary depending on factors including but not limited to, position offered, location, education, training, and/or experience. Solugenix will consider qualified applicants with a criminal history pursuant to the California Fair Chance Act and Ordinance. Applicants do not need to disclose their criminal history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if we are concerned about conviction that is directly related to the job, applicants will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report. About the Client Our client is a leading North American distributor of building materials. About Solugenix Solugenix is a leader in IT services, delivering cutting-edge technology solutions, exceptional talent, and managed services to global enterprises. With extensive expertise in highly regulated and complex industries, we are a trusted partner for integrating advanced technologies with streamlined processes. Our solutions drive growth, foster innovation, and ensure compliance-providing clients with reliability and a strong competitive edge. Recognized as a 2024 Top Workplace, Solugenix is proud of its inclusive culture and unwavering commitment to excellence. Our recent expansion, with new offices in the Dominican Republic, Jakarta, and the Philippines, underscores our growing global presence and ability to offer world-class technology solutions. Partnering with Solugenix means more than just business-it means having a dedicated ally focused on your success in today's fast-evolving digital world.

We are seeking a skilled Mechanical Engineer to design and develop sheet metal enclosures and packaging solutions for PCB assemblies and power supplies used in military and aerospace applications. This role requires expertise in precision sheet metal design, thermal management, and ruggedized packaging that meets stringent military specifications and aerospace standards. Key Responsibilities Design and develop sheet metal enclosures, chassis, and packaging solutions for PCB assemblies and power supply units intended for military and aerospace applications. Create detailed 3D CAD models and 2D manufacturing drawings using industry-standard software, ensuring designs are optimized for sheet metal fabrication processes including forming, bending, stamping, and welding. Perform thermal analysis and design appropriate cooling solutions such as heat sinks, ventilation patterns, and thermal interfaces to ensure components operate within specified temperature ranges in harsh environments. Ensure all designs comply with relevant military standards (MIL-STD-810, MIL-STD-461, MIL-DTL-901) and aerospace specifications, including shock, vibration, EMI/EMC shielding, and environmental sealing requirements. Collaborate closely with electrical engineers to understand PCB layouts, component placement, connector requirements, and electrical grounding needs. Select appropriate materials and finishes that meet corrosion resistance, weight limitations, and durability requirements for the intended operating environment. Develop prototypes and coordinate with manufacturing teams and external vendors to ensure designs are manufacturable, cost-effective, and meet quality standards. Conduct design verification testing including shock, vibration, thermal cycling, and environmental testing. Support qualification and certification processes required for military and aerospace applications. Participate in design reviews, failure analysis, and continuous improvement initiatives. Required Qualifications Bachelor's degree in Mechanical Engineering or related field with 3-5 years of experience in sheet metal design for electronics packaging. Proficiency in 3D CAD software (SolidWorks, CREO, or similar) with strong understanding of sheet metal design principles and manufacturing processes. Knowledge of military specifications (MIL-STD) and aerospace standards applicable to mechanical design and electronics packaging. Experience with thermal analysis tools and understanding of heat transfer principles in electronic systems. Strong understanding of materials selection, particularly aluminum alloys, stainless steel, and specialty coatings for harsh environments. Familiarity with EMI/RFI shielding techniques and grounding requirements. Ability to read and interpret electrical schematics and PCB layouts. Experience with GD&T and creating detailed manufacturing drawings.

APR Consulting, Inc. has been engaged to identify a Building/Plant Engineer for a temporary crisis staffing opportunity. Title: Building/Plant Engineer Location: Los Angeles, CA or Riverside, CA or Anaheim, CA or Irvine, CA or San Diego, CA (Travel and Lodging Accommodations are provided) Pay Rate: $88.50/hr. Shift: 12 hours shifts 7am-7pm or 7pm-7am Duration: Typically 5 days which may start as early as 12/22/2025 (Start Date may change, Must be flexible on duration and start date) JOB SUMMARY Facilities Operations / Engineering Manage and maintain complex facility systems that support the delivery of world-class healthcare. This role ensures optimal performance of mechanical, electrical, and plumbing systems while maintaining compliance and driving energy efficiency. Operate, inspect, and maintain HVAC, boiler, chiller, and other critical systems. Oversee contractors and lead in-house teams performing maintenance and repairs. Conduct regular inspections to ensure all systems meet compliance standards (e.g., NFPA, OSHA). Lead emergency response protocols related to equipment or utility failures. Collaborate with project managers on facility upgrades and renovation. Document operational logs, asset inventories, and maintenance history in CMMS. Support sustainability initiatives and energy conservation program. Provide technical expertise during facility accreditation and inspections. Qualifications:Bachelor's degree in Mechanical, Electrical, or Facilities Engineering preferred. 5+ years of experience in plant operations or hospital facility engineering. Strong knowledge of codes and standards applicable to healthcare facilities. Proficiency in Building Automation Systems and computerized maintenance platforms. Excellent troubleshooting and communication abilities Relevant certifications (e.g., PE license, LEED, Certified Healthcare Facility Manager) highly desirable. Work SettingHigh-compliance healthcare facility environment Fast-paced with potential for after-hours and on-call duty Physical requirements include lifting, climbing ladders, and working around industrial equipment Since 1980 APR Consulting, Inc. has provided professional recruiting and contingent workforce solutions to a diverse mix of clients, industries, and skill sets nationwide. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Don't miss out on this amazing opportunity! If you feel your experience is a match for this position please apply today and join our team. We look forward to working with you!

A defense technology company is seeking a Machine Learning Engineer to join their team in El Segundo, California. The role involves designing and deploying advanced ML models for defense applications, with a strong focus on computer vision and signal processing. Candidates should have 5+ years of experience, strong programming skills in Python and C++, and an active Top Secret clearance. This position offers a chance to work at the forefront of AI and defense innovation, contributing to mission-critical projects. #J-18808-Ljbffr

About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive's next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we're addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world. The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we'll map a new way forward. Working together, we'll create a future that's more connected, more intelligent, more sustainable for everyone. Role Summary As an engineer focusing on cellular and wireless integration for the Connected Systems Integration Team at R|V Tech, you will work alongside software developers, systems integrators, and system engineers to support features such as cellular, WiFi, Ethernet and GPS domains along with telematics, mobile app integration, and other Internet-dependent vehicle features, with a primary focus on cellular systems integration and bring-up. The cellular and wireless integration engineer will execute tests and integration of connectivity features and will also contribute to automation of these tests (in Python). The cellular and wireless integration engineer may also support other vehicle development activities which require connectivity support. These development activities may include drives in pre-production vehicles and will provide exposure to vehicle networks, cloud connectivity, and fleet management. The connectivity integration engineer may support time-critical test events and may be asked to support special investigations and projects. Responsibilities Your typical day looks like this: Attend meetings with development teams to understand new system designs and to align on test plans and expectations. Create design documentation and test plans for a new cellular feature implementation. Perform cellular testing using a specialized test chamber and test equipment; work with test equipment vendors to ensure compatibility and system integrity for automation. Perform complementary cellular testing on-vehicle using a prototype or fleet vehicle. Analyze logs from internal and external bugs to assess root cause of failure and create new work scope for dev teams. Core capabilities and behaviors should include: Strong fundamentals for test execution and documentation. The ability to correlate meaningful feedback from disparate data sets. Keen observation skills of wireless (WiFi, 5G, LTE, GPS, Bluetooth) behavior and performance. Deep understanding of telematics, end-to-end data routing and validation of data fidelity and frequency over different data links. Understanding of middleware and layered/encapsulated network schemes. Native Linux proficiency (command-line, tools, bring-up); embedded Linux a plus. Ability to identify and distinguish issues in hardware and/or software. Engage in discussions to test, bug fix, and optimize feature development based on data. Qualifications Bachelor's degree in either Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or Information Systems. Good understanding of 5GNR and LTE protocol stack. A working understanding of the OSI model and network protocols. Basic proficiency with scripting languages including Python and/or Shell. Basic proficiency with database manipulation and data presentation. Triage and diagnosis of complex connectivity issues to include root cause analysis, stability, and interoperability problems. A mindset geared towards collaboration and forward progress. Ability to thrive under pressure and time constraints. Availability to travel and/or support activities during off-peak hours as-needed. Pay Disclosure Salary Range/Hourly Rate for Palo Alto, California Based Applicants: $117,000 - $149,000 USD (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary: Rivian and Volkswagen Group Technologies provides robust medical/Rx, dental and vision insurance packages for full-time and part-time employees, their spouse or domestic partner, and children up to age 26. Full Time Employee coverage is effective on the first day of employment. Part-Time employee coverage is effective the first of the month following 90 days of employment. Equal Opportunity Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status. Rivian and Volkswagen Group Technologies is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian and VW Group Technologies (“Rivian and Volkswagen Group Technologies”) may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian and VW Group Technologies may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian and Volkswagen Group Technologies may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies' service providers, including providers of background checks, staffing services, and cloud services. Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please see our Candidate Data Privacy Notice (English) and Candidate Data Privacy Notice (Serbian) for more information. Please note that we are currently not accepting applications from third party application services. #J-18808-Ljbffr

Gray Construction is looking to add a Japanese Speaking Project Engineer - Food and Beverage to their Charlotte, NC or Atlanta, GA office. Responsibilities Why Gray? Gray is a fully integrated, global service provider deeply rooted in engineering, design, and construction, along with smart manufacturing and equipment manufacturing services. Consistently ranked as a leader in the industry, we focus on the following markets for domestic and international customers: Food & Beverage , Manufacturing , Data Centers , Distribution , Commercial and Advanced Technology . Founded in 1960, Gray has grown to encompass a complementary family of brands designed to augment and enhance each other's specialized capabilities without gaps or redundancies. Our robust offering-which includes strategy, operational improvements, construction, extensive engineering, automation & controls, and equipment manufacturing-enables us to create one-of-a-kind solutions at the highest levels of customization, delivering unmatched precision and partnership to some of the world's most sophisticated organizations. Develop, update and monitor job progress using QMS program, including scheduling, estimating and budgeting to ensure that construction of project parallels with schedule. Perform quantity take off(s), cost estimates and bid solicitation. Provide research options and regulation information as required. Purchase and coordinate the delivery of certain materials for the project(s) ensuring optimum prices, quality and conformance to specifications and budget. Reviews and approves invoices and change orders. Negotiate with subcontractors and vendors for specific trades ensuring that all scope is encompassed. Review vendor and subcontractor shop drawing submittals for construction as directed by the supervisor. Relocate to specific job sites (if required) in order to become familiar with procurement and construction practices. Attend weekly job site meetings. Assist in the preparation of various reports to assist in the successful management of the project(s), such as: monthly red files, progress analysis/schedules, billings and status reports. Assist in the organization and maintenance of job files to ensure continuity of work flow. Submit verbal and written reports on project status to supervisor. Communicate effectively with customer, direct consultants and subcontractors on the project(s). Responsible for the communication, implementation and enforcement of Gray's safety program on site. Other duties may be assigned. Qualifications Bachelor's degree from four-year college or university and a minimum of three years related experience. Must possess basic computer skills including the ability to utilize word processing, spreadsheet and e-mail applications. May also require working knowledge of scheduling applications. The new team member should be an energetic, self-motivated individual who enjoys a team environment, as well as a passion for collaboration and professional development. If you are a high achiever striving to exceed expectations in a fast-paced innovative company, then Gray is the place for you. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Must be physically present in Birmingham office. Visa Sponsorship: This role is not eligible for visa sponsorship. Physical Demands & Work Environment The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this position, the team member is frequently required to stand, walk, sit, use hands and arms, reach, and talk or hear. They are regularly required to climb or balance, stoop, kneel, or crouch. Must frequently lift and/or move up to 25 lbs, and occasionally lift or move up to 100 lbs. Specific vision abilities include accurate near and distant vision. Frequently in a normal office environment where noise level is moderate and temperature/humidity is controlled. Occasionally exposed to wet and/or humid conditions, moving mechanical parts, and outside weather conditions. May be exposed to high, precarious places, fumes or airborne particles, extreme cold and/or heat, risk of electrical shock, explosives and vibrations. Noise level on the job site is normally moderate to loud. Overtime may be required. Some travel may be required. Supervisory Responsibilities Indirectly supervises the activities of subcontractors and field personnel. EEO Disclaimer Gray is proud to be an Equal Opportunity Employer and welcomes everyone to apply. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Title : Product Development Engineer Provide solid technical skill and engineering support for design and development activities for new and existing products. Support current products in terms of quality, manufacturing, supply continuity and cost improvement. Participate in executing technical and/or cross-functional project work. Contribute to a culture of innovation by proactively generating novel concepts for new products and enhancements to current product performance. Understand customer needs through literature review, customer interviews, direct observation, competitive analysis, prototype evaluation, and clinical/simulated use studies. Translate customer needs into engineering requirements into specific product, packaging and process specifications. Engineer robust and manufactural products through strong understanding and application of engineering fundamentals. Develop and execute test methods which specify measurement equipment, test set-up, measurement systems analysis, and data analysis. Write detailed technical reports based on design verification analysis/testing for design changes and product design activities. Ensure compliance with BD quality policies, procedures and practices as well as with all local, state, federal and BD safety regulations, policies and procedures. BS degree in engineering is required (Mechanical or Biomedical Engineering preferred). 2-4 years of engineering experience is required in medical devices. Test, and/or improve products by developing moderately complex experiments and tests (including writing and executing protocols), analyze results, make recommendations, and develop reports, based on engineering principles Generate work instructions, test methods, engineering drawings/prototypes, etc. to establish/ characterize product and/or process specifications Create/update portions of design control documents including requirement specs and risk documents Assign R&D support tasks; gives instruction to technicians on conducting tests; train technicians and provide feedback; and coordinate technician work Identify, evaluate, manage, and provide guidance to suppliers, including establishing tolerances and defining acceptance criteria for suppliers •Good computer skills in usage of MS Office Suite; CAD experience preferred •Good documentation, communication (e.g., written and verbal) and interpersonal relationship skills including consultative and relationship management skills •Basic understanding of statistical techniques •Previous experience working with lab/industrial equipment required (if applicable) •Solid understanding and knowledge of principles, theories, and concepts relevant to Engineering •Solid problem-solving, organizational, analytical and critical thinking skills •Solid understanding of processes and equipment used in assigned work •Strict attention to detail •Ability to interact professionally with all organizational levels •Ability to manage competing priorities in a fast paced environment •Must be able to work in a team environment, including the ability to manage vendors and project stakeholders •Ability to build productive internal/external working relationships

We are seeking a Senior Building Engineer to support complex building operations, troubleshoot escalated issues, and oversee capital improvement projects across our portfolio of Class A multifamily buildings. Environmental/mold remediation experience is preferred but not required - we can support certification for the right senior-level engineer. The ideal candidate has deep technical knowledge of building systems and can take ownership of complex engineering challenges beyond routine maintenance. Key Responsibilities: Advanced Building Systems & Diagnostics Troubleshoot and resolve escalated HVAC, plumbing, electrical, and building envelope issues. Conduct root-cause analysis and recommend long-term solutions. Support building operations across multiple properties as needed. Water Intrusion & Environmental Support (Preferred, NOT required) Assist with investigations related to water intrusion, moisture issues, and potential mold concerns. Collaborate with remediation vendors when needed. Participate in training/certification with company support (IICRC, etc.). Capital Improvement Projects (CapEx) Support planning and execution of system upgrades, infrastructure improvements, and major repairs. Work with contractors, architects, engineers, and internal teams to ensure quality and timelines. Provide technical guidance, cost insights, and feasibility evaluations. Vendor Coordination & Reporting Oversee specialized contractors and monitor work quality. Maintain accurate documentation, building condition reports, and preventative maintenance records. Advise operations leadership on building needs and long-term planning Qualifications Required 5+ years of experience as a Building Engineer, Maintenance Engineer, or similar senior-level facilities role Strong working knowledge of HVAC, electrical, plumbing, and mechanical systems Experience troubleshooting complex issues beyond routine maintenance Experience with Class A, commercial, luxury residential, or multi-site buildings Strong communication, project coordination, and documentation skills Ability to work independently Preferred (Not Required) Experience with water intrusion, moisture issues, or mold remediation Exposure to environmental compliance or related safety standards EPA 608 certification IICRC WRT/AMRT or willingness to obtain with employer support Experience supporting CapEx or system upgrade projects Why Join Us Work across a modern portfolio of Class A buildings High visibility with leadership and ownership Competitive salary and benefits Opportunities for paid certification and continuous learning A collaborative, operations-driven team environment Job Type: Full-time Pay: $80,000.00 - $110,000.00 per year Benefits: 401(k) Dental insurance Health insurance Paid time off Work Location: In person

Project Engineer - Bridge & Transportation Construction We are partnering with a leading heavy civil contractor specializing in transportation and bridge infrastructure to hire a Project Engineer to support the delivery of multiple bridge construction projects throughout the Los Angeles region. This is an excellent opportunity for an engineer looking to gain hands-on experience on complex bridge and structural transportation projects, while building a clear path toward Project Manager and senior leadership roles. Key Responsibilities Support the execution of bridge construction projects, including foundations, substructure, superstructure, and deck work Assist with project planning, scheduling, quantity takeoffs, and cost tracking Manage RFIs, submittals, change orders, and document control Coordinate with Superintendents, inspectors, designers, and subcontractors Track material procurement and subcontractor progress Assist with budget updates, forecasting, and monthly reporting Support quality control, safety compliance, and Caltrans/DOT documentation Participate in constructability reviews and preconstruction planning Required Experience & Qualifications 2-7 years of heavy civil construction experience, ideally on bridge or transportation projects Exposure to bridge structures such as piles, footings, columns, girders, decks, and falsework Experience on public works / Caltrans / DOT projects strongly preferred Bachelor's degree in Civil Engineering, Construction Management, or a related field Strong organizational and communication skills Ability to thrive in a fast-paced, field-driven environment Experience with Procore, Primavera, or similar construction software preferred Why This Opportunity Work on high-profile bridge projects across the Greater Los Angeles area Clear career progression toward Project Manager and Senior Project Engineer roles Exposure to large, complex transportation infrastructure programs Long-term project pipeline and job stability Competitive compensation and comprehensive benefits package

A leading technology company seeks a Machine Learning Engineer to innovate product designs through predictive simulations. This role demands strong expertise in machine learning and finite element analysis with an M.S. or Ph.D. in a related field. Responsibilities include developing ML methods and collaborating with design teams. Competitive pay range is $139,500 to $258,100, alongside comprehensive benefits and opportunities for stock ownership. #J-18808-Ljbffr

A modern financial technology company is seeking a Staff Applied AI and Machine Learning Engineer in Seattle. You will lead the development of machine learning models to enhance risk management within a primarily payments-focused environment. Ideal candidates have over 8 years of experience in data science, expertise in statistical analysis, and strong programming skills in Python or R. This role requires effective communication and collaboration across diverse teams, offering an opportunity to make a significant impact on product development. #J-18808-Ljbffr