Vectara provides a scalable platform to deploy your Enterprise AI Agents and AI Assistants with Accuracy, Security, and Explainability like no other solution. Our enterprise RAG Platform offers unparalleled Accuracy, Security, and Explainability by leveraging the strongest models for retrieval, embedding, reranking , a optimized LLM trained for quality , and advanced Hallucination Mitigation . We are the developers of the Hughes Hallucination Evaluation Model and Correction model, core to ensuring accuracy, quality, and responsible AI that is production ready . These innovations have been cited in the New York Times, Visual Capitalist , and many other leading publications. This platform has allowed us to be very successful with over 100 Enterprise clients including the likes of large US military organizations, Financial services, Healthcare, and Manufacturing. Our founding team includes industry veterans and experts in neural information retrieval and distributed systems from Google. Join us as we pursue our mission to help the world find meaning. People at Vectara are passionate about ensuring customers take advantage of breakthroughs in applied Artificial Intelligence (AI) to solve real-world technology and business problems today. Our team is a group of unquestionable all-stars in their respective fields of computer science and business from Google, Cloudera, Splunk, MongoDB, Elastic, and more. Job responsibilities Design, prototype, research and build AI systems for Vectara. Train, evaluate and deploy ML models in the domains of Natural Language Processing, Information Retrieval, AI Agents, Large Language Models (LLMs) and Multimodal Large Language Model (MMLLMs). Improve the quality of Vectara’s AI Agents and RAG-as-a-service platform, working on features like multilinguality, self-supervised learning, agentic behavior and hallucination reduction. Publish technical blogs, papers, and patents. Requirements: Preferred requirements: PhD in Computer Science/Engineering with 1+ years of industry experience. Publications in prestigious venues such as ACL, NAACL, EMNLP, NeurIPS, ICML, ICLR as a key author. Experience as an ML engineer in an early-stage, high growth environment. Expertise in the following areas: Embedding models, rerankers Multimodal retrieval, question answering, and reasoning Vector databases, BM25 Planning and reasoning in LLMs Multilinguality in LLMs NLG Evaluation such as hallucination detection Location requirements: We support remote applicants from all over the US but candidates who can come to the office 2-3 days a week in our Palo Alto office are preferred. Equity and Salary Range: Salary is just one component of Vectara’s employee compensation. Our full-time employees are also equity owners in the company, which although not an immediate cash component, can have positive impacts on long-term total compensation for each participating employee. We would be remiss if we didn’t highlight and celebrate our focus on engaging many of our employees in being economic co-owners of the business. Vectara welcomes all. We value the collective wisdom of people from different backgrounds, experiences, abilities and perspectives.  We never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Vectara has a positive and supportive culture—we look for people who are inventive and work to be a little better every single day. We seek to be smart, humble, hardworking and, above all, curious. After all, we are on a mission to find meaning. Perks and Benefits: 100% paid Medical, Dental, Vision begins on your first day! Option of Health Savings Account (HSA) or Flexible Savings Account (FSA). Generous paid time off (PTO) plus paid sick time, holidays, and company rest days. Professional development and training opportunities. Company virtual happy hours and fun team building activities and more.

COMPANY Ready to join EVS? We're not just engineers and surveyors; we're the dream team of innovation! With forty-five years of electrifying excellence, we're the pioneers shaping the future of renewable energy. Our dynamic team excels in Civil and Electrical, with expertise in Solar PV & BESS, Power Studies, Transmission, and Substation, as well as Geotechnical, Structural Engineering, and Land Surveying. Rooted in Respect, Integrity, and Humility, we're on a mission to make every project a game-changer. With mentorship, hands-on action, and the wisdom of industry leaders, we're here to build lasting connections and deliver top-tier services. Join the party, let's light up the future! PROTECTION AND CONTROLS ENGINEER - RELAY SETTINGS Location: Eden Prairie, MN | Hybrid | Remote Schedule: Full-Time Salary: $95,000 – $130,000 (based on experience) EVS is seeking a Protection & Controls Engineer to support substation and transmission protection projects that strengthen grid reliability and support renewable energy integration. This role is ideal for an engineer who enjoys technical problem-solving, relay settings development, and power system studies while building expertise in protection schemes and coordination analysis. WHAT YOU’LL DO Assist in developing, modifying, and reviewing protective relay settings for microprocessor-based relays. Support protection coordination and fault studies using tools such as ASPEN OneLiner and ETAP. Participate in preparing relay coordination studies under guidance from senior engineers. Develop and modify relay settings for transmission and substation protection schemes including line, transformer, bus, capacitor bank, and feeder protection. Interpret protection schematics, wiring diagrams, and logic diagrams to support implementation and troubleshooting. Assist with relay logic development, testing, and validation to complete protection schemes. Support field commissioning, troubleshooting, and relay settings validation activities as needed. Collaborate with senior engineers, project managers, and multidisciplinary teams to ensure accurate protection system design. Communicate technical updates, inputs, and project status with internal teams and clients. Participate in technical reviews, training sessions, and team collaboration meetings to build technical expertise. WHAT YOU’LL BRING BENEFITS FOR FULL TIME EMPLOYEES Health Insurance (Medical through United Healthcare/UMR) Dental and Vision Insurance STD (Short-Term Disability) and LTD (Long-Term Disability) Insurance Life Insurance EAP (Employee Assistance Program) Paid Time Off 401k Match Choice Benefit Flexible Work Time Performance-Based Bonus Point-Based Recognition Parental Benefits Referral Bonus Certification Bonus Hybrid / Remote Culture These benefits not only enhance the overall compensation package but also contribute to creating an inviting and supportive work environment. They play a crucial role in attracting and retaining top talent, promoting employee satisfaction, and nurturing a positive company culture that values its employees' well-being and contributions. EEO STATEMENT EVS is an Equal Opportunity Employer, and all applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, marital status, gender identity, national origin, disability, or status as a protected veteran.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Desenvolver e operacionalizar modelos de Machine Learning, garantindo a implementação e manutenção de pipelines eficientes. - Realizar deploy de modelos e gerenciar o ciclo de vida de modelos (LCM) dentro da plataforma GenPlat. - Colaborar com a equipe para fomentar uma cultura forte de IA e MLOps, promovendo práticas de inovação e melhoria contínua. - Apoiar a implementação de agentes e ferramentas baseadas em GenAI, contribuindo para a estabilidade técnica e organizacional. - Participar ativamente no planejamento e execução de projetos, garantindo alinhamento com os objetivos estratégicos da empresa. Qualifications - Experiência em MLOps e deploy de modelos, com sólida base em engenharia de software. - Conhecimento em infraestrutura em nuvem, preferencialmente AWS, e operação de pipelines. - Familiaridade com soluções open-source e vivência em ambientes tech-first. - Capacidade de comunicação clara e colaboração eficaz em equipes multidisciplinares. - Mentalidade voltada para inovação e adaptação a mudanças rápidas. Requirements - Conhecimentos em GenAI e sua aplicação prática em projetos. - Habilidade para liderar iniciativas técnicas e fomentar um ambiente de aprendizado contínuo. - Experiência em aumentar a eficiência no gerenciamento do ciclo de vida de modelos. - Capacidade de se adaptar rapidamente a novas tecnologias e desafios complexos. - Inglês avançado.

• Work mainly with existing open-source libraries, such as Transformers and Datasets to boost the support for vision or multi-modal models and datasets. • Foster one of the most active machine learning communities, helping users contribute to and use the tools that you build. • Interact with Researchers, ML practitioners, and data scientists on a daily basis through GitHub, our forums, or slack.