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As an intern at Bio-Rad, you will be part of exciting and challenging AI and automation projects for the IT department, using various tools and technologies to create innovative solutions for the life sciences and healthcare industry. You will also collaborate with different teams and people, learn new skills and concepts, and make a difference to the company and the industry. You will also receive feedback, guidance, and recognition from your mentor, manager, and other IT staff, who will help you grow and succeed. You will also enjoy a fun and rewarding work experience, and progress as a professional and as a person. How You'll Make An Impact: Subject Matter Expertise in AI within Power Platform: • Deep understanding of Copilot Studio, • Building, tuning, and training Copilot agents., • Deploying agents and integrating them into applications., • Managing issues like hallucination, model training, and data integration., • Expertise in AI Builder, • Integrating AI Builder for natural language processing (NLP) and document processing., • Rising Junior, Senior, or Masters Student in a relevant course of study (CompSci, Business Technology, Data Science, etc), • A strong interest and aptitude for learning new technologies and solving complex problems, especially in the areas of AI and automation., • Experience with programming languages such as Python, Java, C#, or SQL, and familiarity with web development frameworks and tools, such as TensorFlow, PyTorch, or React., • Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud, and their services and features, such as Lambda, Azure Functions, or Cloud Functions., • Ability to communicate effectively with technical and non-technical audiences, both verbally and in writing., • A passion for innovation and a desire to contribute to the advancement of life science research and diagnostics., • Basic knowledge of Bio-Rad and ability to commute to Hercules or Pleasanton office as needed., • 3.0 Minimum GPA., • Rising Juniors, Seniors, and Masters Students. Total Rewards Package: At Bio-Rad, we're empowered by our purpose and recognize that our employees are as well. That's why we offer a competitive and comprehensive Total Rewards Program that provides value, quality, and inclusivity while satisfying the diverse needs of our evolving workforce. Bio-Rad's robust offerings serve to enrich the overall health, wealth, and wellbeing of our employees and their families through the various stages of an employee's work and life cycle. Benefits: We're proud to offer a variety of options, including competitive medical plans for you and your family, free HSA funds, a new fertility offering with stipend, group life and disability, paid parental leave, 401k plus profit sharing, an employee stock purchase program, a new upgraded and streamlined mental health platform, extensive learning and development opportunities, education benefits, student debt relief program, pet insurance, wellness challenges and support, paid time off, Employee Resource Groups (ERG's), and more! Compensation: The hourly range for this position is $25 at the time of posting. Actual compensation will be provided in writing at the time of offer, if applicable, and is based on several factors we believe fairly and accurately impact compensation, including geographic location, experience, knowledge, skills, abilities, and other job permitted factors. Who We Are: For 70 years, Bio-Rad has focused on advancing the discovery process and transforming the fields of science and healthcare. As one of the top five life science companies, we are a global leader in developing, manufacturing, and marketing a broad range of high-quality research and clinical diagnostic products. We help people everywhere live longer, healthier lives. Bio-Rad offers a unique employee experience with collaborative teams that span the globe. Here, you are supported by leadership to build your career and are empowered to drive change that makes an impact you can see. EEO Statement: Bio-Rad is an Equal Employment Opportunity/Affirmative Action employer, and we welcome candidates of all backgrounds. Veterans, people with physical or mental disabilities, and people of all race, color, sex, sexual orientation, gender identity, religion, national origin and citizenship status are encouraged to apply. Agency Non-Solicitation:Bio-Rad does not accept agency resumes, unless the agency has been authorized by a Bio-Rad Recruiting Representative. Please do not submit resumes unless authorized to do so. Bio-Rad will not pay for any fees related to unsolicited resumes. Fraud Alert: Bio-Rad has received reports of individuals posing as Bio-Rad recruiters to obtain information, including personal and financial, from applicants. Beware of these fake "recruiters" and job scams. ___ for more information on this scam and how to avoid it. LI-JTS Legal Entity: (USA_1000)Bio-Rad Laboratories, Inc.

As an AI/ML Intern, you will start your day with a brief team meeting to discuss ongoing projects and daily goals. Throughout the day, you'll collaborate with the AI/ML team on developing and optimizing machine learning models, with a special focus on Large Language Models (LLMs). You'll engage in hands-on coding, data analysis, and model evaluation. Additionally, you'll participate in brainstorming sessions and contribute to research discussions aimed at solving real-world problems using AI and ML techniques. Your day will also include reviewing and integrating feedback from senior team members to improve model performance and accuracy. How You'll Make An Impact: • Develop and test machine learning algorithms using Python and relevant libraries such as TensorFlow or PyTorch., • Assist in the preprocessing and analysis of large datasets to extract meaningful insights., • Collaborate with the team to design experiments and evaluate model performance against key metrics., • Work with Large Language Models to fine-tune and apply them to various natural language processing (NLP) tasks., • Document and present findings and improvements to the team, contributing to the collective knowledge base., • Education: Currently pursuing or recently completed a degree in Computer Science, Data Science, Mathematics, Statistics, or a related field., • Work Experience: Previous internship or project experience in AI/ML, data analysis, or software development is a plus but not required., • Proficiency in Python and familiarity with ML libraries such as TensorFlow, PyTorch, or scikit-learn., • Experience with natural language processing (NLP) and working with Large Language Models (LLMs) is highly desirable., • Excellent communication and teamwork abilities, with a proactive attitude towards learning and contributing to team goals., • 3.0 Minimum GPA., • Rising Juniors, Seniors, and Masters Students. Total Rewards Package: At Bio-Rad, we're empowered by our purpose and recognize that our employees are as well. That's why we offer a competitive and comprehensive Total Rewards Program that provides value, quality, and inclusivity while satisfying the diverse needs of our evolving workforce. Bio-Rad's robust offerings serve to enrich the overall health, wealth, and wellbeing of our employees and their families through the various stages of an employee's work and life cycle. Benefits: We're proud to offer a variety of options, including competitive medical plans for you and your family, free HSA funds, a new fertility offering with stipend, group life and disability, paid parental leave, 401k plus profit sharing, an employee stock purchase program, a new upgraded and streamlined mental health platform, extensive learning and development opportunities, education benefits, student debt relief program, pet insurance, wellness challenges and support, paid time off, Employee Resource Groups (ERG's), and more! Compensation: The hourly range for this position is $25 at the time of posting. Actual compensation will be provided in writing at the time of offer, if applicable, and is based on several factors we believe fairly and accurately impact compensation, including geographic location, experience, knowledge, skills, abilities, and other job permitted factors. Who We Are: For 70 years, Bio-Rad has focused on advancing the discovery process and transforming the fields of science and healthcare. As one of the top five life science companies, we are a global leader in developing, manufacturing, and marketing a broad range of high-quality research and clinical diagnostic products. We help people everywhere live longer, healthier lives. Bio-Rad offers a unique employee experience with collaborative teams that span the globe. Here, you are supported by leadership to build your career and are empowered to drive change that makes an impact you can see. EEO Statement: Bio-Rad is an Equal Employment Opportunity/Affirmative Action employer, and we welcome candidates of all backgrounds. Veterans, people with physical or mental disabilities, and people of all race, color, sex, sexual orientation, gender identity, religion, national origin and citizenship status are encouraged to apply. Agency Non-Solicitation:Bio-Rad does not accept agency resumes, unless the agency has been authorized by a Bio-Rad Recruiting Representative. Please do not submit resumes unless authorized to do so. Bio-Rad will not pay for any fees related to unsolicited resumes. Fraud Alert: Bio-Rad has received reports of individuals posing as Bio-Rad recruiters to obtain information, including personal and financial, from applicants. Beware of these fake "recruiters" and job scams. ___ for more information on this scam and how to avoid it. #LI-JTS Legal Entity: (USA_1000)Bio-Rad Laboratories, Inc.

Shape the future of enterprise AI at Bio-Rad as the Senior Manager, Applied AI Engineering. Reporting to the Director of Emerging Technologies(AI/Automation), you'll lead the technical execution of Agentic AI, Machine Learning, and Automation AI solutions across global business functions. From building intelligent agent-based systems and RAG pipelines to deploying production ML models with robust monitoring for drift detection and continuous improvement, you'll transform cutting-edge AI innovations into practical, high-impact enterprise solutions. You'll also collaborate with architects, product managers, and UX designers to deliver intuitive AI-powered experiences that drive real business value. How You'll Make An Impact: • Architect intelligent systems by designing and deploying scalable AI/ML solutions-including multi-agent frameworks, generative AI applications, and decision-optimization engines-that solve complex business challenges across global operations, • Drive innovation to production by leading proof-of-concepts through full deployment, managing the complete AI lifecycle from model development through MLOps, LLMOps, and continuous performance monitoring, • Build for reliability at scale by implementing feedback loops, drift detection, and hallucination monitoring systems that ensure AI solutions remain accurate, explainable, and trustworthy in production, • 10+ years of progressive experience in software engineering, data science, or AI/ML roles, with 5+ years designing and deploying ML models in production environments-plus a proven track record leading technical teams and technology pilots, • Expert-level proficiency with ML frameworks (TensorFlow, PyTorch, scikit-learn) and generative AI frameworks(LangChain, LlamaIndex, Hugging Face), along with hands-on experience integrating LLM APIs from providers like OpenAI, Gemini and Anthropic, • Strong cloud platform experience (AWS, Azure, or GCP) with knowledge of containerization, CI/CD pipelines, and MLOps practices for deploying performant, cost-effective AI infrastructure Total Rewards Package: At Bio-Rad, we're empowered by our purpose and recognize that our employees are as well. That's why we offer a competitive and comprehensive Total Rewards Program that provides value, quality, and inclusivity while satisfying the diverse needs of our evolving workforce. Bio-Rad's robust offerings serve to enrich the overall health, wealth, and wellbeing of our employees and their families through the various stages of an employee's work and life cycle. Benefits: We're proud to offer a variety of options, including competitive medical plans for you and your family, free HSA funds, a new fertility offering with stipend, group life and disability, paid parental leave, 401k plus profit sharing, an employee stock purchase program, a new upgraded and streamlined mental health platform, extensive learning and development opportunities, education benefits, student debt relief program, pet insurance, wellness challenges and support, paid time off, Employee Resource Groups (ERG's), and more! Compensation: The estimated annual salary for this position is $143,000 to $246,600 at the time of posting. This range is inclusive of all geographic locations within the United States*. Actual compensation will be provided in writing at the time of an offer, if applicable, and is based on several factors we believe fairly and accurately impact compenstion, including geographic location, experience, knowledge, skills, abilities, and other job permitted factors. This position is eligible for a variable annual bonus, which is dependent upon achievement of your individual objectives and Company performance. *Minimum reflects our lowest paying locations, and the top end reflects our highest paying locations. The range in your geographic location will vary but will be within the indicated ranges. Who We Are: For 70 years, Bio-Rad has focused on advancing the discovery process and transforming the fields of science and healthcare. As one of the top five life science companies, we are a global leader in developing, manufacturing, and marketing a broad range of high-quality research and clinical diagnostic products. We help people everywhere live longer, healthier lives. Bio-Rad offers a unique employee experience with collaborative teams that span the globe. Here, you are supported by leadership to build your career and are empowered to drive change that makes an impact you can see. EEO Statement: Bio-Rad is an Equal Employment Opportunity/Affirmative Action employer, and we welcome candidates of all backgrounds. Veterans, people with physical or mental disabilities, and people of all race, color, sex, sexual orientation, gender identity, religion, national origin and citizenship status are encouraged to apply. Agency Non-Solicitation:Bio-Rad does not accept agency resumes, unless the agency has been authorized by a Bio-Rad Recruiting Representative. Please do not submit resumes unless authorized to do so. Bio-Rad will not pay for any fees related to unsolicited resumes. Fraud Alert: Bio-Rad has received reports of individuals posing as Bio-Rad recruiters to obtain information, including personal and financial, from applicants. Beware of these fake "recruiters" and job scams. ___ for more information on this scam and how to avoid it. #LI-PB1 Legal Entity: (USA_1000)Bio-Rad Laboratories, Inc.

Alliant International University is a professional practice University committed to excellence in four areas: Education for Professional Practice, Scholarship, Multicultural and International Competence, and Community Engagement. The University provides students with the highest quality of education through excellence and innovation in academic scholarship, applied training and research, and community service, particularly to underserved populations. Through its Mission, the University's goal is to equip students with the competencies they need to effectively practice in the professional setting, provide public benefit and make an impact in their communities by addressing major contemporary social issues. Our Mission:Alliant International University prepares students for professional careers of service and leadership and promotes the discovery and application of knowledge to improve the lives of people in diverse cultures and communities around the world. Our Vision:An inclusive world empowered by Alliant alumni. Our IMPACT Values: • Inclusion:We value and engage the rich diversity of the Alliant community., • Mentoring:We provide guidance and create enabling environments for success., • Passion:We bring enthusiasm, creativity, and authenticity to our work., • Accountability:We act with integrity and responsibility in all we do., • Communication:We are responsive, transparent, and respectful in our interactions., • Teamwork:We collaborate to develop innovative solutions for our community. Application Instructions: • All individuals interested in being considered for an Adjunct position, now or in the future, must submit the following items:, • Resume/CV, • Transcript (of your highest degree obtained), • Three (3) professional references Application Description: Applicants to this position will be considered for a candidate pool encompassing one or more of the subject areas outlined in the job description. This pool will be used to identify qualified candidates for potential appointments during the 2025-2026 academic year. The California School of Management and Leadership (CSML) has a long history of more than 35 years with an alumni base spread globally. Graduates from our programs are employed in diverse industries, disciplines and positions in several types of organizations in more than 50 countries around the world. CSML is known for multicultural and multinational education to a student population with diverse backgrounds. Stalwarts such as Dr. Igor Ansoff and Dr. Efraim Turban laid the conceptual foundation of the school's academic mission in preparing tomorrow's global leaders. CSML concentrates on professional practice, applied theory and contemporary techniques. Our goal is to educate individuals who will go out into the world to accomplish great things in the communities around the world they serve. The Management School is in growth mode and plans to continue to grow the ground programs, expand in the online modality, as well as expand geographically to Alliant's other California campuses. The programs have a strong global dimension with many of the professors and students having a global background coming from different countries and having worked abroad. This multiculturalism is thoroughly integrated into the classes at CSML. Students benefit from having an accomplished cohort- many who are working professionals or international students and/or former US military. This experience creates a network that enhances the student learning environments in their programs and in co-curricular activities. Many of our doctoral students publish either by writing books or conference papers or journal articles, which further enhances their professional stature. The school offers programs at the Masters and Doctoral levels. Los Angeles Campus - MSDA- STEM - Master Science Data Analytics Program CSML is seeking qualified part-time instructors to teach in our STEM MSDA Master Science Data Analytics courses in our LA campus. Specifically, we are looking for candidates who can teach the following courses: • Foundations of Data and Decision-Making Algorithms, • Database Design Principles and Technologies, • Management and Marketing Models for Managerial Decision Making, • Essentials of Computational Science Using Python, • Data Analytics for Decision Making, • Basic Applied Statistics, • Technology Tools for Managerial Decision Making, • Advanced Programming with Python, • Architectures and Methods for Data Mining, • Big Data Tools Starting Salary: $32 hourly. You can learn more about CSML by visiting the Alliant web site at___. If you are interested in joining our team of experts or have other questions about our program, please contact us at___. CSML continually seeks subject matter experts to join our cadre of adjunct faculty. The following are the duties, responsibilities, skills and qualifications that Alliant requires from applicants for an Adjunct professor position: Pedagogical & Academic Skills: • Facilitating Classroom and Distance/Distributed Learning, • Course and syllabus preparation, • Class curriculum coordination and planning, • Assessment and evaluation of learners, • Mentoring and advising students, • Holding office hours and meeting with students, • Research/scholarship mentoring and supervision, particularly of MS theses, STEM projects, and PhD, EdD, DBA dissertations Skills: • Proficient computer skills, including proficiency with Microsoft Office programs., • The ability to work independently and be self-motivated., • High level of accuracy and attention to detail and the ability to solve problems., • The ability to explain complex requirements in clear and concise terms., • The ability to be flexible with workflow to meet the needs of the department and students and to manage multiple tasks by required deadlines., • The drive to encourage, direct, hold accountable and guide candidates toward task completion., • Must demonstrate the ability to work as an effective team member and develop trusting relationships with students and Alliant employees, as well as the Registrar's Office and various academic departments., • Culturally competent and ability to communicate and interact effectively with diverse people., • Highly motivated, focused and results oriented., • Ability to exercise discretion and tact in all interpersonal interactions, and to maintain confidentiality., • Collaboration and partnering with other university stakeholders to support candidate success., • Ability to make administrative/procedural decisions and judgments. Technical & Subject Matter Expertise: • Advanced knowledge of data analytics, statistical modeling, and data-driven decision-making., • Expertise in machine learning, artificial intelligence, and predictive modeling., • Proficiency in data wrangling, data preprocessing, and feature engineering., • Strong command of programming languages commonly used in analytics (e.g., Python, R, SQL, Julia)., • Experience with big data technologies (e.g., Hadoop, Spark, Databricks)., • Proficiency in data visualization tools (e.g., Tableau, Power BI, matplotlib, ggplot2)., • Expertise in statistical software and libraries (e.g., scikit-learn, TensorFlow, PyTorch, SAS, SPSS)., • Familiarity with cloud platforms for analytics (e.g., AWS, Azure, GCP)., • Knowledge of database management systems, data warehousing, and ETL pipelines., • Understanding of data governance, data ethics, and privacy regulations (e.g., GDPR, HIPAA). Minimum Requirements: • Education:Master's, Doctoral or other terminal degrees from an accredited college or university, depending upon the needs of the course being taught., • Experience: 5 years' appropriate industry experience in the areas(s) of specialization and expertise required. Background Check Requirements: Employment is contingent upon successful completion of a background check (including criminal, prior employment and education verification). Failure to satisfactorily complete the background check may affect the application status of applicants or continued employment of current University employees who apply for the position. Additional Information: Anti-Discrimination Policy: Alliant International University prohibits unlawful discrimination, harassment or retaliation in its educational programs, services and activities, and in employment practices, including but not limited to internal promotions, training, opportunities for advancement, terminations, relationships with outside vendors, use of contractors and consultants, and in its admission or access thereto, on the basis of race, ethnicity, national origin or descent, color, creed, religion, sex, age, marital status, disability (including physical, disease, psychiatric or psychological disability), medical condition, pregnancy, veteran status, sexual orientation, gender identification or expression, hair style or texture associated with race, or any other characteristics protected by applicable law. Alliant International University is an Equal Opportunity Employer, committed to ensuring a high quality of education through the diversity of the University community and the curriculum. Women, people of color, people with disabilities and people from other underrepresented groups are encouraged to apply, as we actively seek to increase diversity at all levels. The University will conduct its programs, services and activities consistent with applicable federal, state and local laws, regulations and orders. Applicants must currently be authorized to work in the United States on a full-time basis. Offers of employment are contingent upon the presentation of documents that demonstrate a person's identity and authorization to work in the United States, which are consistent with the provisions of the Immigration Reform and Control Act. Applicants with disabilities and applicants who require assistance completing an application may contact Human Resources at___or 858-635-4509. The California Consumer Privacy Act (CCPA) requires that we provide you with this ______.This notice is about the collection and use of your personal information.We encourage you to read this notice carefully. Governing legislation: Titles VI and VII of the Civil Rights Act of 1964, the Civil Rights Act of 1991, Title IX of the Education Amendments Act of 1972, Section 504 of the Rehabilitation Act of 1973, the Americans with Disabilities Act of 1990, the Age Discrimination Act of 1975, the regulations implementing these statutes, and applicable federal and California law. Alliant International University is a smoke and tobacco free environment. Company: Alliant International University, Inc. | Job ID: 283826

Position title: Instructor Salary range: $3,300 per course, quarterly Open date: November 24, 2025 Next review date: Tuesday, Mar 31, 2026 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee. Final date: Tuesday, Jun 30, 2026 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. UCLA Extension is considered one of the top programs of its kind, offering to more than 35,000 students per year approximately 4,500 classes and non-degree certificate programs to meet the professional development, continuing education, and personal enrichment needs of the full spectrum of nontraditional students as well as companies and organizations throughout and beyond the Los Angeles region. UCLA Extension is considered one of the top institutions of its kind, offering to more than 32,000 students per year approximately 4,500 classes and non-degree certificate programs to meet the professional development, continuing education and personal enrichment needs of the full spectrum of nontraditional students as well as companies and organizations throughout and beyond the Los Angeles region. The Engineering and Computer Science Academic Unit offers a wide variety of certificate programs and courses including post-baccalaureate credit-bearing (400-level) and continuing education (CEU) credit courses. Course disciplines span engineering, computer science and technical management subject areas. UCLA Extension courses and certificate programs offer students the opportunity to learn from highly qualified practitioners who hold advanced degrees and are passionate about teaching and can impart knowledge within their field of expertise. UCLA Extension is seeking experienced professionals to serve as Part-Time Instructors for courses within our Data Science and Data Engineering certificate programs. This role requires in-person instruction at our Westwood or Downtown Los Angeles (DTLA) campuses. We are looking for passionate subject matter experts who can translate complex, real-world data challenges into an engaging and effective learning experience for adult students. The current opening is for our Data Science & Data Analytics courses. Qualified applicants possessing current knowledge and teaching experience in this area are encouraged to apply. Applications to teach are accepted throughout the year to fill immediate program needs and to increase the depth of the instructor pool. We are looking for instructors to teach the following courses: • Data Science Fundamentals, • Data Engineering, • Big Data Management, • Machine Learning System Design, • Python Programming, • Cloud Computing, • Exploratory Data Analysis and Visualization, • Data Modeling and Datastore Design, • Data Pipeline Architecture The primary responsibilities of the instructor are to ensure a high-quality, engaging, and relevant educational experience for students. Curriculum Development: • Prepare course materials (e.g., lectures, readings, assignments) and learning assessments (quizzes, projects) in the learning management system, Canvas., • Clearly communicate and teach the course objectives and the specific learning outcomes to students. Student Engagement & Support:, • For 100% online instructional mode, hold once a week online office hours via Zoom for students to optionally participate to cover course-related topics and Q/A., • Maintain weekly, and preferably daily, interaction with students' discussion posts on Canvas to promote high engagement and collaboration for an optimum learning experience., • Respond to student questions and learning needs in a timely manner. Assessment & Grading:, • Review students' progress through the course and assign timely grading of all coursework. For information on UCLA Extension instructor benefits, please visit Pay, Benefits, & Privileges. Program: Instructor Resources: Basic qualifications Education: A minimum of a master's degree in Data Science, Computer Science, Statistics, or a closely related quantitative field. Experience: A minimum of 10 years of recent, practical, professional experience working as a Data Scientist, Data Engineer, or in a similar advanced analytics role. Technical Expertise (Must be proficient in at least two areas): Data Science: Machine learning (e.g., Python/R, scikit-learn, TensorFlow, PyTorch), statistical modeling, and data visualization. Data Engineering: Cloud data platforms (e.g., AWS, Azure, GCP), ETL/ELT pipeline design, distributed processing (e.g., Spark, Hadoop), and advanced SQL/NoSQL databases. Teaching/Training: Prior teaching or training experience with adult learners in a corporate or academic setting is highly desirable. Document requirements * Curriculum Vitae/Resume - Your most recently updated Curriculum Vitae/Resume * Cover Letter Reference requirements References are requested from candidates after the interviewing stage, and references are only contacted for finalists via SkillSurvey system. Apply link: Help contact: As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements. The University of California 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, age, protected veteran status, or other protected status under state or federal law. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer., • UC Sexual Violence and Sexual Harassment Policy, • UC Anti-Discrimination Policy for Employees, Students and Third Parties, • APM - 035: Affirmative Action and Nondiscrimination in Employment Los Angeles, CA

Job Description We are a cutting-edge technology company at the forefront of the Artificial Intelligence (AI) revolution. Our mission is to create intelligent solutions that transform industries and drive innovation. We are seeking a talented and motivated Prompt Engineer to join our dynamic team and play a pivotal role in shaping the future of AI. Role Overview: As a Prompt Engineer, you will be a key member of our AI development team, responsible for designing and developing high-quality prompts that drive our AI models and algorithms. Your expertise in crafting effective and engaging prompts will be essential in enhancing the performance and capabilities of our AI systems. Responsibilities: • Collaborate with AI researchers and developers to understand project requirements and objectives., • Design and create a diverse range of prompts tailored to specific AI tasks and applications., • Develop creative and innovative ways to generate effective prompts that improve model performance., • Conduct extensive research to identify and curate relevant data sources for prompt development., • Ensure the prompts are designed to elicit desired responses and achieve the desired outcomes., • Optimize and fine-tune prompts based on continuous testing and feedback from AI models., • Analyze AI model outputs and make data-driven adjustments to improve prompt efficacy., • Stay up-to-date with the latest advancements in natural language processing and AI technologies., • Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred., • Proven experience in working with natural language processing and AI technologies., • Strong understanding of AI models, algorithms, and neural networks., • Experience in prompt engineering, creative writing, or content creation is a plus., • Proficiency in programming languages such as Python or JavaScript., • Solid knowledge of data collection, preprocessing, and annotation for prompt development., • Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face., • Strong analytical and problem-solving skills with a keen eye for detail., • Excellent communication and collaboration skills to work effectively in a team environment.

Job DescriptionWho we are Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. Who you are As a Machine Learning Engineer at Metropolis, you will accelerate recognition commerce through data innovation. You will be a key leader in Engineering, responsible for designing and building the robust generative data engine and intelligent algorithms that fuel our ML models. Your mission is to bridge data and models through automation, creating the scalable foundation that underpins the predictive, personalized experiences defining the future of the built world. What you'll do • Work with the machine learning team to perform state-of-the-art research, train, and optimize machine learning algorithms, • Design, implement, and maintain active learning algorithms and generative vision models to ensure cost efficient data sampling and learning, • Maintain and revisit innovative methodologies to curate high quality data and annotations, • Design, implement, and maintain the machine learning data pipelines and infrastructure, • Work with technologies like AWS, SQL/NoSQL databases, Kafka, Airflow, and NVIDIA Triton, ensuring efficient and effective use of these tools, • Collaborate with other Engineering and Product teams to define requirements and facilitate the smooth deployment of software into production, • Play a vital role in the entire development lifecycle, from concept and requirement identification to implementation, • Implement best practices in automation, testing, and deployment to foster rapid feature/model development and release, • Foster a culture that views bugs and production issues as opportunities for improvement, • Contribute to the hiring and cultural development within Metropolis Engineering, • Ensure high availability and scalability of Machine Learning systems, • Collaborate with partners to integrate their products seamlessly into the Metropolis platformWhat we're looking for, • MS or PhD in Computer Science, Engineering, or a related field, or equivalent work experience, • 3+ years of experience in machine learning and software engineering, with expertise in computer vision and multi-modal models, • Proficiency in Python and Machine Learning frameworks (PyTorch/TensorFlow/ONNX/TensorRT), • Strong experience with cloud services, preferably AWS, • Familiarity with Machine Learning model serving infrastructure and best practices, • Knowledge of transactional and analytical database technologies, • Strong understanding of the agile development process and CI/CD pipelines and tools (e.g., Github Actions, Jenkins), • Excellent communication skills, capable of presenting complex technical information clearlyWhile not required, these are a plus: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job Description🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops. As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact. We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce. 💻 Role * Design, train, and deploy both traditional ML and LLM-powered models to detect fraudulent behaviors across users, payments, and marketplace interactions. * Lead the end-to-end architecture of fraud detection, prevention, and intervention systems — balancing platform security with a seamless user experience. * Build intelligent user graphs to model behavioral patterns, collusion networks, and account connectivity. * Develop scalable data pipelines and real-time inference systems supporting high-volume, low-latency ML workloads. * Conduct deep behavioral and adversarial data analysis to uncover fraud trends and continuously improve detection accuracy. * Partner cross-functionally with Trust & Safety, Payments, and Infrastructure teams to develop features, labels, and model evaluation pipelines. * Implement model monitoring and drift detection systems to ensure reliability and responsiveness. * Contribute to fraud risk orchestration, combining rules, models, and heuristics for decision automation. * Define and track key metrics and dashboards for fraud detection effectiveness (e.g., precision, recall, false-positive rate, latency). * Stay ahead of emerging fraud tactics and continuously translate insights into adaptive, production-ready systems. We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our SF, NYC, LA OR SEA hubs. 👋 You People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it. * Bachelor’s degree in Computer Science, a related field, or equivalent work experience. * 2–6 years of experience in machine learning or software engineering, ideally in risk, fraud, or trust & safety domains. * Strong proficiency in Python and ML libraries (e.g., scikit-learn, PyTorch, LightGBM). * Solid backend development skills and experience deploying ML models to production (batch or real-time). * Experience in data analysis and ETL (SQL, Spark, DBT) for data pipeline building. * Familiarity with fraud detection techniques such as chargeback prediction, anomaly detection, or graph-based modeling. * Experience with data orchestration frameworks (Dagster, Kubeflow) and feature store design. * Ability to translate business risk into measurable ML solutions and collaborate across diverse 💰Compensation For US-based applicants: $245,000 - $345,000/year + benefits + stock options The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity in the form of stock options. 🎁 Benefits * Generous Holiday and Time off Policy * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance for wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. Compensation Range: $245K - $345K

Job DescriptionWe deliver technology to some of the best startups and companies in the world through diverse empowered teams of technologists that want to create change in the digital world.We are an organization that was created to be a safe place for all people from all areas of life. A place where teams are gender-balanced and compensated equally. And a place where careers are unrestrained regardless of cultural, educational, or geographical background. We value people with strong technical skills that are collaborative, curious, results-driven, and take ownership. We embrace people that want to be themselves, have daily flexibility, grow, learn, and make a difference wherever the opportunity presents itself. So we hope this sounds like you. Because we are always looking for exceptional Senior Applied Scientist Engineers to work in immersive client projects that will challenge your abilities. This position requires: Role Summary We are seeking a Senior Applied Scientist to design and deploy AI systems and agentic workflows that safely automate document understanding and decision-making across FOIA, Privacy Act, eDiscovery, and Data Breach workflows. This role focuses on applied AI for high-risk, regulated documents, where systems must make or assist decisions related to review, classification, entity extraction, redaction, and disclosure, while remaining explainable, policy-aware, auditable, and defensible. You will work above core OCR and ingestion pipelines, transforming document content, metadata, layout, policy rules, and reviewer behavior into bounded automation that can be trusted in production. You will help define what decisions can be automated, under what conditions, and with what safeguards. What You’ll Own Automation of Document Decisions Design AI systems that safely automate or assist decisions related to: • Document review, including:, • Responsiveness and relevance, • Privilege and confidentiality, • Sensitivity and disclosure risk, • Entity and data extraction, including:, • Identifying, normalizing, and consolidating people, organizations, locations, and attributes, • Resolving entities across documents and datasets, • Redaction decisions, including:, • What information requires protection, • Where and how it should be applied, • Under which legal or policy authority Define automation boundaries and confidence thresholds, including: • Auto-apply vs. recommend vs. require human review, • Document-, page-, and entity-level decision logic Applied GenAI, Agentic Workflows & Document Intelligence • Build LLM-powered workflows for:, • Document and case summarization with citations and traceability, • Review assistance for responsiveness, privilege, and confidentiality, • Redaction and extraction rationale generation (the “why” behind decisions), • Implement guardrails and grounding to ensure GenAI outputs remain accurate, explainable, and policy-aligned Policy-Aware AI Systems • Translate legal and regulatory requirements into clear, testable AI behavior, • Align systems with:, • Data breach impact assessment and notification workflows, • Partner with legal, privacy, and compliance stakeholders to validate and refine decision logic Quality Assurance, Trust & Defensibility • Monitor model performance, drift, and automation outcomes in production, • Ensure all decisions are traceable, explainable, and defensible for audits, litigation, and public scrutiny Cross-Functional Leadership • Collaborate with Product, Engineering, Legal, Privacy, and Operations teams, • Influence product direction across Legal, Breach, and Government markets, • Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field, • 5+ years of experience building and deploying applied ML / NLP systems in production, particularly for document understanding, classification, or extraction, • 2+ years of hands-on experience with large language models or modern GenAI techniques, including prompt design, RAG pipelines, or LLM-assisted workflows, • Experience building explainable, auditable AI systems, • Experience designing human-in-the-loop automation, • Comfortable working in ambiguous, high-risk environments, • Experience with FOIA, Privacy Act, HIPAA, GDPR, or breach response workflows, • Background in eDiscovery, legal tech, or regulated government systems, • Prior technical leadership or mentoring experience, • Experience scaling AI systems to millions of documents or pages A happy team makes a huge difference, that's why we provide: * Payment in USD or in your local currency * A truly flexible work schedule * Holiday and performance bonuses * An excellent paid time off policy * 4 free Udemy courses a year * Home exercise & wellness membership * An opportunity for you to help create change in the industry * And more! ATHENAWORKS is an inclusive safe organization that only considers your technical ability, work experience, ability to collaborate, your capacity to grow to the next level of your career, and ability to deliver great work. This means that we also embrace/welcome self-taught people as well! We will NEVER consider any other personal or professional aspects of your life. We hope that you choose to have a conversation with us today and find out what makes us different from any company that you have experienced.

Job Description Hadrian - Manufacturing the Future Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts. We’re accelerating our mission with the launch of Factory 3 in Mesa, Arizona, a 290,000-square-foot facility creating 350 new jobs. We are expanding rapidly to support thousands of future hires, launching Hadrian Maritime to expand into naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts. Hadrian is backed by leading investors including T. Rowe Price, Lux Capital, Founders Fund, and Andreessen Horowitz, our fast-growing team is united around reindustrializing American manufacturing for the 21st century and beyond The Role: Hadrian is building advanced software systems to automate Design for Manufacturing (DFM) analysis and accelerate precision manufacturing. Our homebuilt DFM platform analyzes design prints and CAD models to make logical, data-driven determinations about whether and how Hadrian can manufacture a part. We work closely with some of the best operators in the world to identify high-impact opportunities where software, computer vision, and machine learning can meaningfully augment or automate complex engineering judgment. As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling these systems end to end. What You’ll Do: * Research, develop and deploy cutting-edge deep learning models, including OCR, vision-language, and detection models for document understanding and layout analysis * Contribute to the ongoing development and refinement of current models in close collaboration within the engineering team and end users * Work in every facet of the Machine Learning lifecycle - including the creation and optimization of production data pipelines, and software systems for training, inference, labeling, and evaluation * Judiciously combine open-source solutions and novel research to create world-class vision systems for manufacturing applications What We’re Looking For: * Bachelors in Computer Science, Electrical Engineering, Mechanical Engineering (or similar discipline), or an equivalent amount of deep learning experience * 5+ years of experience in Computer Vision and/or Machine Learning, including ownership of projects throughout the entire ML Lifecycle * Proficiency in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch, Tensorflow, etc.) What sets you apart: * A Master’s Degree in Computer Science with focus in Artificial Intelligence or Machine Learning * Demonstrated experience with detection/segmentation models and achieving high performance results - including exploratory analysis, model selection, and hyperparameter tuning * Previously worked in aerospace, defense, or manufacturing, and have experience working 3D/CAD/CAM data for manufacturing applications * Strong software engineering skills and prior web development experience using Javascript/TypeScript or Python, and familiarity with FastAPI or Express frameworks * Prior experience with distributed training using cloud infrastructure * Prior experience with visual document understanding and layout analysis * Published research or achieved SOA results on an ML application * Prior experience with multi-modal deep learning models * You have a passion for manufacturing and believe that the industry needs better software * Prior experience working in a startup environment Compensation For this role, the target salary range is $160,000 - $250,000 (actual range may vary based on experience). This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Benefits * Medical, dental, vision, and life insurance plans for employees * 401k * Relocation support may be provided for certain situations, based on business need. * Flexible vacation policy ITAR Requirements To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. Hadrian Is An Equal Opportunity Employer It is the Company’s policy to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, exercise of reproductive rights, any other basis protected by local, state, or federal laws, or any combination of the above characteristics. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions.

Job Description Answer Financial is an Allstate company with 25+ years in the industry and one of the nation's largest and longest running personal lines insurance agencies. We are 100% remote - work from home company. The Full-Stack AI Engineer (Remote) is responsible for designing, developing, deploying, and maintaining enterprise-grade AI and machine learning (ML) solutions that integrate seamlessly across the company’s technology ecosystem — including Microsoft Copilot Studio, Power Platform, and AWS-based ML environments. This hybrid role bridges AI/ML development, agentic AI orchestration, and MLOps infrastructure, ensuring that models and intelligent agents are secure, scalable, and business-aligned. The position advances the company’s use of AI across all internal and external customer experiences by: • Building and operationalizing AI models and copilots that augment business workflows., • Integrating models into Microsoft Copilot Studio, Power Apps, and Power Automate. A. AI / ML & Agentic AI Engineering • Design, fine-tune, and deploy AI/ML models, including LLMs and retrieval-augmented generation (RAG) pipelines., • Develop and maintain custom Copilots and intelligent agents within Microsoft Copilot Studio that interact with enterprise data and APIs., • Implement Power Platform integrations (Power Apps, Power Automate, Power Virtual Agents) for business-facing AI workflows., • Collaborate with data scientists to transform prototypes into production-grade, secure, and compliant solutions., • Develop and automate ML pipelines for training, deployment, and monitoring on AWS SageMaker and Azure ML., • Manage CI/CD for AI models and Copilot plugins using MLflow, Airflow, Docker, and Kubernetes., • Implement monitoring for Copilot-based and standalone AI agents, capturing performance, drift, and usage analytics., • Partner with software engineering and Power Platform teams to embed AI services into core business systems., • Collaborate with IT and Security on Copilot extensions and secure connectors for enterprise data. Required • 5–8 years combined experience in software engineering, ML, and/or MLOps., • Proven success deploying AI/ML models in Microsoft or AWS environments., • Strong proficiency in Python, ML frameworks (Scikit-learn, PyTorch, TensorFlow), and API integration., • Hands-on experience with Microsoft Copilot Studio, Power Automate, and Power Apps development., • Experience deploying AI pipelines in AWS SageMaker or Azure ML., • Experience connecting Copilot agents to proprietary datasets via secure connectors or APIs., • Knowledge of vector databases (Pinecone, FAISS) and RAG architectures., • Familiarity with Azure OpenAI Service, Dataverse, and Microsoft Graph APIs., • Microsoft Certified: Azure AI Engineer Associate (AI-102), • Microsoft Certified: Power Platform Solution Architect / Developer Associate, • AWS Certified Machine Learning – Specialty Compensation offered for this role is 100,000.00-177,150.00 annually and is based on experience and qualifications. Candidates must possess authorization to work in the United States, as it is not our practice to sponsor individuals for work visas. Answer Financial is an equal opportunity employer.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. The Data Science team, a part of the broader StubHub Data organization, is looking for an experienced, senior-level Data Science Manager to lead a growing team (currently 6, ranging from entry level DS to Staff+) that covers a wide range of data science disciplines. StubHub is the largest secondary ticketing marketplace in the world, generating massive amounts of consumer data that are leveraged to tackle many unique and interesting predictive and inference problems across user acquisition, product recommendations, pricing optimization, ticket fulfillment mitigation, and business forecasting. As a Data Science Manager, you will need to work closely with business leaders and convert their long-term strategic goals into tangible machine learning projects executed by your team at a day-to-day level. Understanding when to provide oversight from a technical perspective, while being able to grow individuals, will be paramount in your team's long-term success. You will also be responsible for the technical and personal growth of your team members, developing talent density through focused mentorship, strategic career development, and execution excellence. There will be a need to plan team structure and growth as we invest more in ML, especially to understand the best ways to build and apply generative AI solutions within our product. You will be joining at a critical time for the Data Science practice and the company – while the value of this discipline has been established and there's a high-performing team in place, we are far from steady state. Key areas of investment from a vision and team planning perspective include establishing new pockets of deep technical expertise (e.g., causal inference, graph ML), advocating for best-in-class ML tooling/platform, and widening the reach of data science company-wide. As a senior leader on this team, you will be responsible for shaping and realizing that vision. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA What You'll Do • Technical project scoping and planning, • Partner with cross-functional stakeholders across the business, executives, and data team, • Technical review and architecture oversight, • Recruitment and end-to-end talent growth development: Performance reviews, promotion recommendations, 360 feedback, etc, • 8 - 10 years of relevant machine learning/data science in a fast-paced, high growth environment, • 8 - 10 years of experience managing high performant data science team., • Strong programming and analytical ability with expertise in SQL and Python (TensorFlow, scipy, scikit-learn, PyTorch, statsmodels), • Experience with modern workflow orchestration used in machine learning, e.g.,Metaflow, ZenFlow, Airflow, • Nice to Haves:, • Worked at a consumer tech company, • Experience with GenAI/LLM/Agentic workflows in a production setting, • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$300,000—$400,000 USDAbout UsStubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found hereWe are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Job DescriptionABOUT CIM GROUP:CIM is a community-focused real estate and infrastructure owner, operator, lender, and developer. Our team of experts works together to identify and create value in real assets, benefiting the communities in which we invest. Back in 1994, our three founders focused on projects in Southern California neighborhoods. Today, we are a diverse team of 900+ employees with projects across the Americas. Our projects have delivered jobs; created comfortable places to live, work, and relax; and provided necessary and sustainable infrastructure. Our focus on enhancing communities is unwavering, and we strive to make an even greater impact in the years to come. Join us and make an impact today! POSITION PURPOSE: The Senior ML Ops Engineer leads the design and maintenance of scalable, secure infrastructure for ML model deployment, lifecycle management, and Generative AI enablement. This role is responsible for building and operating the firm's ML Ops platform on Databricks, with a strategic focus on productionizing GenAI/LLM solutions including Retrieval-Augmented Generation (RAG) systems and vector database implementations. The Senior ML Ops Engineer ensures models transition from development to production while meeting regulatory and compliance standards. This role collaborates closely with Data Science, Platform Engineering, Information Architecture, and business vertical teams (Fund Accounting, Investor Relations, Investments) to accelerate ML-driven insights, enhance model accuracy, and govern the ML/AI ecosystem. Beyond technical execution, the role defines ML Ops strategy and architecture, addressing the "last mile" challenge of AI value realization by automating and scaling ML models and GenAI applications as tangible business assets. This role serves as the key pillar that enhances efficiency, boosts model accuracy, accelerates time-to-market for AI solutions, and ensures the scalability and robust governance of machine learning and generative AI initiatives. RESPONSIBILITIES: ML Model Deployment & Platform Management • Lead the design, implementation, and ongoing maintenance of scalable ML infrastructure on Databricks, including ML flow for experiment tracking, model registry, and model serving endpoints., • Oversee the development of the ML Ops platform and automated pipelines for deploying, monitoring, and maintaining models within production environments., • Implement robust solutions for model versioning, systematic retraining, and comprehensive artifact management using Databricks Unity Catalog for ML governance., • Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research., • Design, deploy, and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search and retrieval across enterprise documents., • Lead LLM fine-tuning and customization initiatives, training models like Claude or open-source alternatives with CIM proprietary data while ensuring data privacy and compliance., • Develop and optimize document processing pipelines including PDF parsing, chunking strategies, and embedding generation for RAG applications., • Implement prompt engineering best practices and LLM evaluation frameworks to ensure output quality, relevance, and factual accuracy., • Design and implement extensive automation across the ML workflow, covering model training, testing, validation, and deployment using Databricks Workflows and Asset Bundles., • Set up robust CI/CD pipelines for both traditional ML models and GenAI applications, leveraging GitHub Actions, Azure DevOps, or similar tools., • Implement comprehensive monitoring and alerting systems for real-time tracking of model performance, data quality, and GenAI output quality., • Utilize specialized tools (Evidently AI, WhyLabs, Prometheus/Grafana) to proactively detect model drift, data quality anomalies, and RAG retrieval degradation., • Develop evaluation frameworks for GenAI applications including relevance scoring, faithfulness metrics, and human feedback loops., • Build and maintain sophisticated feature stores on Databricks, ensuring precise alignment between training and inference data pipelines., • Collaborate with data engineers and information architects to build robust ETL pipelines that feed into the Databricks Lakehouse., • Integrate robust security measures directly into ML Ops and GenAI pipelines, including access controls via Unity Catalog and data encryption., • Implement Trustworthy AI guardrails addressing bias detection, explainability, prompt injection prevention, and responsible AI practices., • Ensure GenAI applications handling sensitive fund and investor data comply with regulatory requirements and internal policies., • Engage in extensive collaboration with data scientists, platform engineers, information architects, and DevOps teams to ensure seamless ML/AI integration., • Partner with business teams (Fund Accounting, FP&A, Investor Relations, Sales, Investments) to identify high-value AI use cases and translate business needs into technical solutions., • Communicate complex AI concepts in business terms, managing expectations and demonstrating ROI of ML/GenAI initiatives., • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field., • 7+ years of experience as an ML Ops Engineer, ML Engineer, or similar role with production deployment responsibility., • Expert-level proficiency in Python, complemented by strong skills in Bash scripting., • Extensive experience designing and implementing cloud solutions on Azure (required) or GCP., • Deep expertise with Docker and Kubernetes for containerizing and orchestrating ML workloads., • Hands-on experience with CI/CD tools such as GitHub Actions, Jenkins, GitLab CI, or Azure DevOps., • Strong SQL proficiency and practical experience with Databricks platform., • Demonstrated experience building and deploying RAG (Retrieval-Augmented Generation) systems in production environments., • Hands-on experience with vector databases (Databricks Vector Search, Pinecone, Weaviate, Chroma, or Milvus)., • Experience with LLM APIs and frameworks (OpenAI, Anthropic Claude, LangChain, LlamaIndex)., • Understanding of embedding models, chunking strategies, and retrieval optimization techniques., • Experience with ML flow for experiment tracking, model registry, and model serving., • Familiarity with Databricks Feature Store and Unity Catalog for ML governance., • Understanding of Delta Lake and Lakehouse architecture for ML data pipelines., • Experience with LLM fine-tuning techniques (LoRA, QLoRA, full fine-tuning) on proprietary data., • Familiarity with ML frameworks including TensorFlow, PyTorch, Scikit-learn, XGBoost., • Experience with model serialization (ONNX) and inference optimization., • Prior experience within financial services, fintech, or private equity sectors., • Experience building ML/AI infrastructure from scratch in entrepreneurial environments. Key Competencies: • Entrepreneurial Mindset: Comfortable building from scratch in environments without mature processes; thrives with ambiguity and takes initiative., • Business Partnership: Exceptional ability to translate complex AI/ML concepts for non-technical stakeholders across Fund Accounting, Investor Relations, and Investment teams., • Cross-Functional Collaboration: Proven track record of building relationships and influence without authority across technical and business functions., • Business Value Orientation: Focuses on ROI and business outcomes, not just technical elegance; can prioritize initiatives based on business impact., • Trustworthy AI Champion: Strong awareness of responsible AI practices, including bias mitigation, explainability, security, and compliance requirements., • Continuous Learner: Stays current with rapidly evolving GenAI landscape; actively experiments with new technologies and approaches.WHAT CIM OFFERS:At CIM, we believe our success stems from our collective efforts, and we are committed to providing well-rounded support and resources for our employees. In addition to a competitive compensation plan, CIM offers a comprehensive benefits program for employees to thrive both inside and outside of work. Eligible employees can enjoy a wide range of benefits, including:, • A variety of Medical, dental, and vision benefit plans, • Health Savings Account with a generous employer contribution, • Company paid life and disability insurance, • 401(k) savings plan, with company match, • Comprehensive paid time off, including: vacation days, 10 designated holidays, sick time, and bereavement leave, • Up to 16 hours of volunteer time off, • Up to 16 weeks of Paid Parental Leave, • Ongoing professional development programs, • Wellness program, including monthly and quarterly prizes

Job Description Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking a Principal Data & ML Scientist to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and language models, multimodal document understanding, and structured data extraction. This person will leverage their expertise in generative models and data science to develop and optimize innovative AI-driven solutions that enhance Xometry's service offerings. Responsibilities: • Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development., • Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry's business objectives., • Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents., • Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models., • Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models., • Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment., • Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications., • Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team's technical capabilities., • Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment., • A bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred., • 7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision., • Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs)., • Experience with multimodal data processing (e.g., combining text, image, and 3D data)., • Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy., • Strong background in probability, statistics, and optimization techniques relevant to generative modeling., • Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker)., • Familiar with software engineering principles, including version control, reproducibility, and continuous integration. #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Job Description Our Company MISO develops technology that elevates human lives in the commercial kitchen. We’re engineering production-ready robotic systems that tightly integrate perception, real-time decision making, and electromechanical controls to automate the most dangerous, least desirable tasks in food preparation. That means building software that understands the physical world as it actually behaves, and hardware that can execute precisely in the face of chaos. Success is measured in uptime, throughput, and trust from our customers, not demos. Our flagship platform, Flippy, is already operating in high-volume restaurant kitchens across seven states. Zippy, our Kitchen Intelligence software centralizes all operational data in our broader ecosystem, expanding the role of AI-enabled autonomy in real-world operations. Backed by industry leaders, including Ecolab (NYSE: ECL), Miso combines the stability of a proven commercial product with the technical depth and ambition of a company passionately innovating to solve foundational problems in robotics and restaurant operations. If you’re excited by hard constraints, real customers, and the challenge of making software and machines perform reliably where failure isn’t an option, you’ll find meaningful problems to work on here. The Role As a Sr. Perception Engineer, you will design, develop, and improve perception of the environment and objects for Miso Robotics Flippy automated kitchen. This includes the fusion of data from cameras, infrared, arm position, state machine context, door sensors, and other sensors. You have an aggressive start-up mindset because we are bringing years of R&D to high-quality releases at scale. Key Responsibilities • Architect SW for reliability, scalability, and efficiency flow of data through the system., • Develop robust monitoring solutions to continuously track and ensure system health, • Evolve and simplify state machines + scheduler that dictate robot behaviors and workflows, • Own the vision part of installation, updates, robustness, calibration, and performance, • Drive improved quality with every sprint and new release. Facilitate automated tests., • Evaluate new 3rd-party sensors and algorithms, • BS Computer Vision (or similar), • 5+ years of relevant industry experience; many releases of production quality deployments, • Programming in Python and C++, • ROS (Robot Operating System), • Proficiency with Linux/Docker environments, and version control systems (e.g., Git), • Sensor fusion (camera + lidar + IMU), • Coordinate frames & transforms (TF), • Vision inspection pipelines, • Image processing (filtering, edge detection, morphology), • Object detection & classification, Object tracking (Kalman, SORT, DeepSORT), • Pose estimation (PnP, ICP, visual odometry), • Camera calibration (intrinsic/extrinsic), • Machine Learning, CNN, PyTorch, Data set creation, labeling, & augmentation, VertexAI and/or AWS Sagemaker, • Excellent written and verbal interpersonal skills, • Attention to detail, analytical skills, and ability to learn / adapt quickly, • MS or PhD in Computer Science or related field, • Experience accelerating CV applications on GPU using CUDA or NVIDIA Deepstream SDK, • Experience building MLOps pipelines for continuous training, testing, and deployment of Vision Models, • OpenCV, HALCON, Cognex VisionPro $120,000-$165,000/yr + Benefits The stated compensation range reflects only the targeted base salary range for candidates residing in the Los Angeles Metro area and excludes additional earnings such as bonus and benefits. If your salary requirements fall outside of the range, we still encourage you to apply. At Miso Robotics, we are committed to fostering an inclusive, diverse, and equitable workplace where every team member is valued and respected. We believe that diversity in our team drives innovation and creativity, which is why we strive to create a welcoming environment for everyone, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status. Powered by JazzHR qTOmJDBiuy

Job DescriptionAbout Arena Club If you're fascinated by sports cards and memorabilia, your search ends here. Arena Club is pioneering the collectibles domain by introducing the first-ever digital card show. Spearheaded by 5x World Series Champion Derek Jeter and serial entrepreneur Brian Lee, Arena Club has developed a fully digital marketplace. This innovative platform is built on trust, transparency, and fun, featuring grading & authentication, vaulting, and digital pack openings for collectors to build and showcase their collections in a personalized online showroom from anywhere in the world. About The Role As a key member of the team, you will bridge complex computer vision modeling with scalable engineering systems, owning the full lifecycle from data ingestion and model development through deployment, monitoring, and iteration. You will work cross-functionally to translate business and operational requirements into robust ML-driven solutions that directly impact grading accuracy, product experience, and marketplace efficiency. What You Will Do Computer Vision for Card Grading • Design, train, and deploy computer vision models to detect trading cards, identify defects and imperfections, and handle complex visual challenges such as noisy backgrounds, lighting variability, and border sensitivity., • Work extensively with object detection architectures such as YOLO (or similar frameworks like Detectron) for bounding box detection and classification tasks., • Leverage OpenCV or equivalent libraries for cropping, edge detection, pixel-based operations, and image preprocessing., • Own the end-to-end ML lifecycle: data ingestion, feature engineering, model training, evaluation, deployment, monitoring, and iteration., • Integrate models directly into production systems rather than handing off to separate engineering teams., • Build and maintain batch and near-real-time data pipelines using Python and PySpark., • Write complex, production-grade SQL queries (including joins, aggregations, and time-window logic) to extract and transform data independently., • Develop and operate ML pipelines running on AWS EC2 infrastructure., • Deploy and operate ML workloads on AWS (primarily EC2, S3, and related services)., • Design scalable systems for model inference and pipeline execution., • Collaborate closely with Product, Engineering, Data, and Operations teams to translate high-level business needs into clear technical problem statements., • Communicate technical trade-offs, model behavior, and timelines in plain language to non-technical stakeholders., • Leverage AI tools and agents throughout the ML development lifecycle for code scaffolding, debugging, experiment design, and optimization., • Integrate modern AI-assisted workflows to increase iteration speed and system robustness. Qualifications • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related technical field required; Master's degree preferred., • 7+ years of experience in machine learning engineering, with a proven track record of shipping models to production in a consumer-facing environment., • 3+ years of experience with Computer Vision., • Expert-level proficiency in Python and its machine learning ecosystem (e.g., Scikit-learn, PyTorch, TensorFlow)., • Advanced SQL skills for complex data extraction and processing., • Strong experience with AWS (specifically SageMaker, S3, and Lambda) for model hosting and data workflows., • Solid experience with core ML algorithms, including Gradient Boosting, Neural Networks, and recommendation systems., • Knowledge and experience with OpenCV & MLFlow The Arena Club Standard Life at Arena Club isn't for the faint of heart — and that's by design. We're building products and experiences the collectibles world has never seen. This is a proving ground. It demands your best every single day, because anything less means you're falling behind. From day one, you're in the game. Trusted to deliver, expected to own outcomes, and driven to raise the bar higher than you thought possible. We don't just execute — we innovate, compete, and win together. If you want routine or predictability, you won't find it here. But if you're ambitious, relentless, and hungry to prove yourself on a team built to dominate — step into the arena. You'll discover growth and reward here, unlike anywhere else.

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators and problem solvers to help us create it. Who you are We are seeking a Senior Machine Learning Engineer to play a key role to join our growing team. As a key member of the Advanced Technologies team, you will play a critical role in designing, developing, and deploying state-of-the-art computer vision and recommendation models that power our core products and solutions. Your work will involve tackling challenging problems in object detection, tracking, OCR, video analytics, and multi-modal systems. This role involves a unique blend of technical expertise in data and machine learning, innovative thinking, and a passion for data-driven solutions. What you'll do • Design, develop, and deploy advanced computer vision models for real-world applications, including object detection, itracking, OCR, image search, and scene understanding, • Build and optimize deep learning models, ensuring high accuracy, performance, and scalability for deployment in production environments, • Explore and integrate multi-modal approaches, leveraging visual, textual, and other data modalities for robust solutions, • Collaborate with cross-functional teams, including data engineers and software engineers to deliver end-to-end solutions, • Lead the design and implementation of scalable pipelines for data processing, model training, and model deployment, • Optimize models for performance on various hardware platforms, including CPUs, GPUs, and edge devices, • Conduct thorough experimentation and A/B testing to validate model effectiveness and ensure alignment with business objectives, • Mentor junior team members, providing technical guidance and fostering professional growth, • Write clean, efficient, and maintainable code while adhering to best practices in software engineering and machine learningWhat we're looking for, • PhD in Computer Science, Engineering, or a related field, or equivalent work experience, • 5+ years of hands-on experience in machine learning and computer vision, with a strong track record of deploying models into production, • Proficiency in Python and ML frameworks (PyTorch/TensorFlow/ONNX/TensorRT), • Strong experience with model optimization (e.g., quantization, pruning) and deployment on various platforms (cloud, edge, or mobile), • Familiarity with cloud platforms (AWS, GCP, or Azure), containerization (Docker), and orchestration (ECS, Kubernetes), • Proven experience in building and maintaining data pipelines (e.g., Airflow), • Strong understanding of the agile development process and CI/CD pipelines and tools (e.g., Github Actions, Jenkins), • Excellent communication skills, capable of presenting complex technical information clearlyWhile not required, these are a plus:, • Experience with C++, • Experience in high-growth, innovative environments Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.