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Job DescriptionPosition Description: Software Engineer Intern AI, Automation & IT Systems Day & Nite is modernizing the way commercial HVAC, refrigeration, and kitchen equipment services are delivered. Our Strategy and Standards team is at the core of this transformation, building AI systems, automating workflows, and upgrading infrastructure to support smarter business operations across 13 states and 160+ technicians. Were building internal tools and agentic AI platforms that do more than just report, they reason, act, and assist our teams in real time. What Youll Do This hybrid role combines software engineering, data science exposure, and IT operations support. You will: Contribute to the setup and support of Predictive Maintenance (PM) projects, including sensor deployment, data collection, and data preprocessing Participate in building early machine learning models for equipment failure prediction Develop and maintain backend services (Python, FastAPI, Node.js) and integrate with platforms like SAMPro, Notion, Strapi, and ServiceChannel Work with large volumes of ERP and service data to build tools that combine AI and automation to improve business efficiency Support our internal tools (e.g., Chrome Extensions, React Native apps, ERP system) and assist with IT tasks, including software provisioning, access control, field device troubleshooting, and user tech support. Sample Projects Youll Support AI-powered agents that summarize work order history and provide status insights via chat Internal dashboards that ingest real-time technician data and provide recommendations, and analysis Automations for repetitive tasks Monitoring tools that log sensor outputs for PM modeling and anomaly detection What Youll Gain Hands-on experience in building and supporting agentic AI and automation in a live business context Exposure to the full lifecycle of data-driven AI projects: collection ? preprocessing ? modeling ? deployment Direct involvement in walk-in refrigeration monitoring, helping shape a scalable PM model Mentorship from IT engineers, software developers, and AI leads A chance to meaningfully impact our operational efficiency and predictive maintenance goals Consideration for full-time employment based on performance Minimum Qualifications - What You'll Bring Currently pursuing a bachelor's degree in Computer Science, Data Science, Cybersecurity, or a related field Strong interest in AI/ML, data pipelines, or backend system architecture Comfortable coding in Python, JavaScript/TypeScript, SQL, and PowerShell Curious about both software development and the operational side of IT Bonus: experience with APIs, Node.js, SQL Server, Azure, AWS, and Generative AI implementation $17.00 - $18.00 Hourly

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:Thea Energy is seeking experienced, highly motivated magnet engineers to join its rapidly growing team. The magnet engineering roles will design, build, and test high temperature superconducting (“HTS”) magnets. HTS magnets are foundational components of Thea Energy’s planar coil stellarator, making compact, simpler, and lower-cost fusion systems possible. As part of a rapidly growing team, you’ll be part of the organizational build-up of a leading fusion energy company. These roles will have a high degree of autonomy and must be able to move quickly. The Thea Energy team is comprised of self-motivated, creative, and fun individuals with an excitement for solving complex problems.Key Responsibility Areas: • Rapidly design, build, and test HTS magnets, • Develop specifications for magnets based on system design and performance goals, • Optimize magnet design and run analysis using Multiphysics simulation software (e.g. Ansys EM, Structure, COMSOL, etc.), • Develop design tools, data analysis software, and algorithms using Python or similar, • Incorporate design for manufacturing principles and support first builds, • Produce design specifications and collaborate with vendors to get quotes and deliver hardware that meets qualifications, • Support the implementation of tooling and manufacturing, • Design and execute magnet testing, • Track and report results and progress against program goals and milestones, • Communicate and collaborate with internal and external stakeholdersIdeal Experience & Skillsets:, • Experience with magnets, cryogenics, vacuum systems, or transformer design, • Experience in design using CAD software (e.g. Solidworks, CATIA, NX, etc.), • Experience with Ansys and/or COMSOL, • Experience specifying machining, welding, and fabrication requirements, • Ability to work through and solve highly multidisciplinary engineering problems, • Ability to take initiative, work independently and as part of a team, • Ability to execute and flourish in a fast-paced, rapidly changing environment, • Comfortable working to aggressive deadlines, • Exceptional work ethic, • Strong team member with clear communication and collaboration skills, • Innate desire to learn, innovate, and critique ideas including one’s own, • At least a bachelor’s degree in physics, computer science, electrical engineering, mechanical engineering, materials engineering, or related fields, • Experience with magnetic confinement fusion, aerospace, medical devices, or other highly technical industries is idealCompany Benefits:, • Salary range $85,000-$150,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTORequirements:, • Ability to occasionally lift up to 50 lbs., • Ability to perform activities such as typing, standing, or sitting for extended periods of time., • Willingness to occasionally travel or work required nights/weekends/on-call.

Job DescriptionCompany Description Veolia in North America is the top-ranked environmental company in the United States for three consecutive years, and the country’s largest private water operator and technology provider as well as hazardous waste and pollution treatment leader. It offers a full spectrum of water, waste, and energy management services, including water and wastewater treatment, commercial and hazardous waste collection and disposal, energy consulting and resource recovery. Veolia helps commercial, industrial, healthcare, higher education and municipality customers throughout North America. Headquartered in Boston, Veolia has more than 10,000 employees working at more than 350 locations across North America. Job Description Student Exploration and Experience Development (SEED) is a 12-week internship opportunity at Veolia for students to gain hands-on experience in sustainability and ecological transformation. They will work on real-world projects, receive mentorship from industry professionals, and participate in workshops and networking events. The program aims to nurture talent, promote innovation, and foster meaningful connections between students and industry professionals. Overall, the SEED program provides students with the skills, knowledge, and connections needed to make a positive impact in the industry. Program Dates: June 1, 2026 to August 21, 2026. Position Purpose: We are seeking a motivated AI Engineering intern to support the development and implementation of an AI-powered agent for This role offers hands-on experience with cutting-edge Small language models, cloud infrastructure, and enterprise software development. Primary Duties/Responsibilities: • Small Language Models (SLMs):, • Understanding and working with lightweight models such as Phi-3 (Microsoft), Llama(Meta), Mistral (Mistral), Gemma (Google), and TinyLlama (for resource-constrained environments)., • Design Phase:, • Requirements Gathering: Using Figma for UI/UX design and workflow planning., • Data Analysis: Utilizing Jupyter Notebooks and pandas for data exploration, cleaning, and analysis., • Model Selection: Leveraging Hugging Face Model Hub to compare, select, and download pre-trained models., • Development Framework:, • Core Framework: Building SLM-powered applications using LangChain or Lanngraph for orchestration and workflow management., • Model Serving: Deploying models locally with Ollama or at scale with vLLM for efficient inference., • Vector Database: Implementing semantic search and retrieval-augmented generation (RAG) using ChromaDB., • API Framework: Developing RESTful APIs with FastAPI (Python) or Express.js (Node.js) to expose model functionality, • Development Tools:, • IDE: Coding in VS Code, ideally with Python and Copilot extensions for productivity., • Model Fine-tuning: Customizing models using Hugging Face Transformers and parameter-efficient fine-tuning (PEFT) methods like LoRA/QLoRA., • Prompt Engineering: Managing and optimizing prompts with LangSmith or PromptLayer., • Version Control: Tracking code and data changes with Git and DVC (Data Version Control)., • Experiment Tracking: Logging experiments, metrics, and results with MLflow or Weights & Biases., • Testing Stack:, • Unit Testing: Writing and running tests using pytest or unittest to ensure code correctness., • Model Evaluation: Assessing model performance with RAGAS (for RAG pipelines) and DeepEval., • Load Testing: Simulating high-traffic scenarios using Locust or Apache JMeter., • Quality Assurance: Using LangChain Evaluators and custom metrics to ensure output quality and reliability., • Deployment Stack:, • Containerization: Packaging applications with Docker or Docker Compose for portability and reproducibility., • Orchestration: Managing and scaling containers with Kubernetes (K8s) or Docker Swarm., • Model Optimization: Accelerating inference and reducing resource usage with ONNX Runtime, OpenVINO, or llama.cpp., • API Gateway: Managing and securing APIs with Apigee., • Observability: Monitoring application and model performance with LangSmith., • CI/CD: Automating build, test, and deployment pipelines with GitHub Actions or GitLab CI., • Infrastructure Options:, • On-Premise: Deploying solutions on local servers with GPU or CPU resources., • Cloud: Utilizing GCP (Vertex AI) for scalable, managed AI infrastructure., • Hybrid: Integrating edge devices for local inference with cloud backup for resilience and scalability., • Environments vary by intership function from office to field to plant., • Our aim is to provide tangible industry job experience to each intern.Qualifications Education/Experience/Background: • Working towards a PhD degree and you have in AI/ML/Computer Science., • Strong communication skills, including written, verbal, listening, presentation and facilitation skills., • Demonstrated ability to build collaborative relationships. Additional Information Pay Range: $21.00 to $25.00 per hour. Benefits: Interns are considered temporary employees. Medical and basic life insurance coverage is available to temporary employees scheduled to work 20 or more hours per week immediately following 60 days of service. Employees must elect or waive medical coverage within 45 days of their eligibility date. Veolia observes 11 holidays. We are an Equal Opportunity Employer! All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, subject to applicable law.

Job DescriptionStaff C++ Software EngineerCompany Description At Butterfly Network, we're leading a digital revolution in medical imaging, transforming an industry that has long relied on bulky, analog systems. With our proprietary Ultrasound-on-Chip™ technology, we're democratizing healthcare by shifting ultrasound from the expensive, stationary systems of the past to the connected, mobile, and software-enabled platforms of today. In 2018, we launched the world's first handheld, whole-body ultrasound, Butterfly iQ – followed by iQ+ in 2020 and iQ3 in 2024, each more powerful than the last. Our innovation doesn't stop at hardware. Butterfly combines our advanced device with intelligent software, AI, services, and education to drive adoption of affordable, accessible imaging. Our technology is proving to help clinicians, clinics, and hospitals enhance care, cut costs, and expand imaging access. We've been recognized by Prix Galien USA, Fierce 50, TIME's Best Inventions, Fast Company's World Changing Ideas, among other awards. We're a team of bold thinkers, problem-solvers, and innovators ready to shape the future of medical imaging. Let's build something extraordinary together! Job Description We are seeking a Staff C++ Software Engineer to lead the design and development of a robust C++ Software Development Kit (SDK) for controlling and interfacing with an ultrasound imaging device. This SDK will serve as a common platform used by internal development teams and external partners. This is a senior individual contributor role for an engineer who is a fast learner, self-starter, and capable of working autonomously in a complex, hardware-adjacent environment. The ideal candidate thrives in ambiguous problem spaces, takes full ownership of technical outcomes, and drives solutions from concept through production and external adoption. As part of our team, your core responsibilities will include, but not limited to: • Serve as the technical owner and architect for a C++ SDK controlling an ultrasound imaging device., • Lead SDK design decisions with a focus on API clarity, usability, scalability, and long-term maintainability., • Rapidly learn complex device behavior, imaging workflows, and system constraints to make informed design decisions., • Work autonomously to define requirements, propose solutions, and execute with minimal supervision., • Collaborate cross-functionally with firmware, hardware, imaging, systems, and product teams to define control and data interfaces., • Design abstractions for device configuration, image acquisition, real-time data streaming, and system state management., • Establish best practices for SDK architecture, testing strategy, documentation standards, and release processes., • Ensure SDK robustness, performance, and reliability in hardware-integrated and real-time contexts., • Drive SDK versioning, backward compatibility, deprecation policies, and partner-facing release strategy., • Create and maintain high-quality developer documentation, examples, and reference implementations., • Mentor and provide technical guidance to other engineers contributing to the SDK or adjacent platform components., • Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience., • Extensive professional experience developing production-quality software in modern C++ (C++14/17/20)., • Proven experience designing and owning SDKs, platforms, or shared libraries used by multiple teams or external users, with a primary focus on Linux-based systems., • Comfort and familiarity working with Python., • Demonstrated ability to quickly learn complex systems involving hardware, firmware, or imaging pipelines., • Strong architectural and system design skills with an emphasis on clean, intuitive APIs., • Ability to work independently, prioritize effectively, and drive work forward with minimal direction., • Deep understanding of memory management, object lifetimes, and performance optimization in C++., • Experience with multithreading, concurrency, and synchronization in performance-sensitive systems., • Strong testing discipline, including unit, integration, and hardware-in-the-loop testing strategies., • Familiarity with real-time operating systems (RTOS) or real-time constraints., • Familiarity with automatic cross-language wrapper generation (Djinni, SWIG)., • Support Development tools in Qt 6., • Support complex build systems with multiple build tools and CI pipelines., • Experience with device drivers, hardware abstraction layers, or firmware interfaces., • Knowledge of image acquisition, signal processing, or data streaming architectures., • Experience defining SDK governance, versioning strategies, and long-term technical roadmaps., • Familiarity with medical software standards (e.g., IEC 62304, ISO 13485, FDA software lifecycle guidance). Innovation is what we do. Our values are how we make it happen. Butterflies are and believe in… Patient-Centric Innovators: Our mission is THE mission.Empowered to Impact: Every voice matters.One Team, One Goal: Unity fuels progress.Growth Champions: We embrace challenges.Action-Oriented Achievers: We follow through, every time. Location Butterfly offers a hybrid work model for most positions, with team members spending two or more days a week in the office. While flexibility is key, we value in-person connections that spark creativity and teamwork. Our offices are designed for collaboration, with comfortable workspaces, stocked kitchens, and opportunities to connect with peers. This is a hybrid position that can be based in Burlington, MA, New York City, NY or the Greater SF Bay Area. Benefits and Perks • Comprehensive health insurance, encompassing dental and vision coverage, is provided to all our employees. As a health-tech company, we prioritize the well-being of our teams. Additionally, employees have the option to buy up for enhanced health insurance coverage. We also contribute to Health Savings Account (HSA) accounts for all enrolled employees on an annual basis., • Comprehensive Employee Assistance Program - we provide access to tools and resources to support your emotional health and day-to-day needs., • 401k plan and match - we facilitate your retirement goals., • Eligible employees will have the opportunity to participate in Employee Stock Purchase Plan (ESPP), • Unlimited Paid Time Off + 10 Holiday Days a Year - recharge and come back ready to make an impact, • Parental Leave - we aim to provide our employees with time to bond with their growing family, along with additional support for primary caregivers to help transition back to work, • Competitive salaried compensation - we value our employees and show it, • Equity - we want every employee to be a stakeholder Our estimated salary for this role located in Burlington, MA is $150,000 + bonus + equity + benefits. Actual pay is determined by multiple factors such as skills, qualifications, experience and market demand. Our estimated salary for this role located in New York City, NY is $160,000 + bonus + equity + benefits. Actual pay is determined by multiple factors such as skills, qualifications, experience and market demand. Our estimated salary for this role located in the Greater SF Bay Area is $220,000 + bonus + equity + benefits. Actual pay is determined by multiple factors such as skills, qualifications, experience and market demand. For this role, we are only considering candidates who are legally authorized to work in the United States and who do not now or in the future require sponsorship for employment visa status. Butterfly Network does not accept agency resumes. Butterfly Network is an E-Verify Company. Butterfly Network is an equal opportunity employer. Regardless of race, traits associated with race, color, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability or Veteran status. All your information will be kept confidential according to EEO guidelines. Butterfly requires security adherence responsibilities from all employees. These include: adhering to all company security policies and procedures, utilize provided company assets securely, and complete all required security awareness training programs. Safeguarding company data and systems from unauthorized access, modification, or destruction, contributing to the overall security posture of the organization. Immediately reporting any suspected or actual security incidents, including phishing attempts, malware infections, or unauthorized access, following the established incident response procedures. #LI-KG #KG-LI

Job Description 2bridge has been engaged in the direct hire search for a Senior Full Stack Python Developer to join our Financial Client based near Colonia, NJ. They offer a comprehensive package including base, bonus, 401k, PTO, Medical, dental, and vision. Senior Software Engineer We seek several highly skilled Senior Software Engineers to join a dynamic team. In this role, you will design, develop, and maintain cutting-edge software solutions that drive business growth. Your expertise in full-stack development, cloud infrastructure, API integrations, and automation will be essential in delivering high-performance applications that scale efficiently. Key Responsibilities: Software Development & Deployment: • Design, develop, test, and deploy high-quality applications using Python, React, AWS, and modern scripting languages., • Implement scalable and maintainable software architectures that meet business requirements., • Utilize AWS services, including Lambda, DynamoDB, and cloud storage, to optimize application performance and scalability., • Ensure cost-effective and secure cloud-based application deployments., • Design and maintain RESTful and GraphQL APIs for seamless integration across various platforms., • Ensure APIs adhere to performance, security, and scalability standards., • Leverage TypeScript, JavaScript, and Python to build robust and efficient software solutions., • Design and optimize SQL queries and database architectures to support application needs., • Work closely with cross-functional teams, including product managers, QA engineers, and business stakeholders., • Participate in Agile/Scrum methodologies to drive project success., • Share expertise and mentor junior developers to foster a culture of technical excellence. Qualifications: • Bachelor's degree in Computer Science, Engineering, or a related field., • 6+ years of experience in software development and system architecture., • 6+ Experience building financial applications for wealth or portfolio management disciplines, trading, or financial applications., • Proficiency in React for building modern, responsive web applications., • Hands-on experience with AWS services (Lambda, DynamoDB, Redshift, cloud storage, etc.)., • Strong expertise in API development (REST, GraphQL, WSO2) and backend integration., • Advanced skills in TypeScript, JavaScript, and Python., • Experience in SQL development and optimization., • Knowledge of Agile/Scrum frameworks for managing and delivering projects., • Strong communication and problem-solving skills., • Preferred: Cloud certifications and experience in fintech, wealth management, or enterprise SaaS. Why Join our client? • Work on high-impact projects in a fast-paced, collaborative environment., • Be part of a team that values innovation, security, and scalable solutions., • Opportunities for career growth, professional development, and mentorship.

Job DescriptionAbout Kiddom Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to take ownership of their curriculum – resulting in learning experiences tailored to meet the unique needs and goals of local communities. Kiddom’s high-quality curriculum is layered with robust teacher and leader data insights to drive the continuous improvement of instructional decisions, school/district programming, and professional learning. The InfraOps team’s primary goal is to enable and empower Kiddom’s engineering by building a scalable and sustainable platform that engineering can rely on to meet our company KPIs. This is a rare opportunity to join a small, highly skilled team as we build out critical infrastructure for a company that is starting to scale from series C to D. Take the opportunity to have real agency in your work both large and small. Leave the feature factory and come to a place where your scope is determined by your abilities and passion. This includes:Evangelizing and fostering a healthy DevOps culture here at Kiddom, working with teams to establish best practices and help guide new and existing services.Practicing Infrastructure as Code (IaC) wherever possible, giving us the confidence in repeatable processes that can be automated. You will: • Grow our DevOps efforts from small scale to large scale multi-region, • Share ownership of the entire infrastructure architecture, • Aim for high availability, high resiliency, • Support the engineering team with tools to evaluate the performance of their code in production environments, speed up CI/CD pipeline, & feature verification, • support the engineering team with tools to speed up CI/CD pipeline, feature verification, • Design and build a scalable, generalized framework for third-party API integrations, • Leverage existing infrastructure and components to build RESTful web services, • Build APIs and robust testing environments for internal and external developers, • Bring an attention to detail - what we do affects people’s educational opportunities and we have to be mindful of thatYou have:, • BS or MS in Computer Science or a related field, • 5+ years professional software engineering experience, • Experience with Java, or Python, Go, Clojure in a production environment, • Experience designing and building REST APIs, • Exposure to authorization technologies (OAuth), • Experience with continuous integration and automation tools and processes, • Strong knowledge of design patterns and software engineering best practices, • Excellent problem solving and debugging skills, • Strong acumen or exposure to DevOps or SRE methodologies, • Keen sense for SecOps., • Functional experience using internal tools: javascript, golang, and python, • Prior success scaling infrastructure at a rapid growth saas startup, • Strong empathy for educators and students, • Passion for improving education equityNice to have

Job Description ELLKAY started out providing connectivity solutions to laboratories and within a few years, grew to also provide data management solutions to ambulatory organizations. ELLKAY is now a trusted data management partner in five healthcare segments. ELLKAY’s solutions continue to serve laboratories and ambulatory practices and have expanded to empower hospitals and health systems, healthcare IT vendors, ambulatory practices, health plans, and other healthcare organizations with cutting-edge technologies and solutions that drive their growth and interoperability strategies. Today, ELLKAY remains true to our core values, building strong partner relationships and offering unparalleled service and support while providing innovative, scalable solutions to the challenges our customers face in today’s data-rich world. ELLKAY's experience, customer-focused approach, and reputation for innovation, speed, and accuracy differentiate ELLKAY as a premier partner for your interoperability needs and data management strategy. Job Description: We are seeking an experienced Senior Software Developer – Cloud Technology & Cloud Infrastructure to design, develop, and maintain scalable, secure, and high-performing cloud-based solutions. This role will focus on building cloud-native applications and infrastructure that support healthcare integrations, including EHR and Acute Care systems. The ideal candidate will have deep expertise in cloud platforms, distributed systems, infrastructure automation, and DevOps practices, along with experience integrating with healthcare systems such as Epic, Cerner, MEDITECH, or Allscripts in acute care environments. Essential Duties & Responsibilities: Cloud Architecture & Application Development • Design and develop scalable, cloud-native applications using modern architectures (microservices, event-driven systems)., • Build and maintain APIs and backend services supporting integrations with EHR systems such as Epic, Cerner Millennium, MEDITECH Expanse, Allscripts, or Athenahealth., • Design and manage infrastructure using Infrastructure as Code (IaC) tools such as Terraform., • Implement and manage CI/CD pipelines for automated deployments., • Deploy and manage containerized applications using Docker and Kubernetes., • Ensure high availability, scalability, disaster recovery, and business continuity for healthcare systems., • Design and maintain integrations using healthcare standards such as HL7, FHIR, and APIs., • Ensure solutions comply with healthcare regulations (e.g., HIPAA)., • Provide technical leadership and mentorship to development teams., • Conduct architecture reviews, code reviews, and technical documentation., • Collaborate cross-functionally with DevOps, Security, QA, Product, and Healthcare Integration teams., • Bachelor’s or master’s degree in computer science, Engineering, or related field (or equivalent practical experience)., • 7+ years of software development experience., • 4+ years of hands-on experience with cloud platforms (AWS, Azure, or Google Cloud)., • Strong proficiency in one or more programming languages (Java, Python, C#, Go, or Node.js)., • Experience with:, • Kubernetes and container orchestration, • Infrastructure as Code (Terraform, ARM, CloudFormation), • CI/CD tools (Jenkins, GitHub Actions, Azure DevOps, GitLab CI), • RESTful APIs and microservices architecture, • Knowledge of healthcare data standards such as HL7 and FHIR., • Strong understanding of cloud networking, IAM, encryption, and security best practices., • Cloud certifications such as:, • AWS Certified Solutions Architect, • Microsoft Azure Solutions Architect Expert, • Google Professional Cloud Architect, • Experience with serverless architectures and event streaming platforms (Kafka, Pub/Sub)., • Knowledge of multi-cloud or hybrid-cloud strategies., • Familiarity with Site Reliability Engineering (SRE) practices. ELLKAY offers a comprehensive and competitive benefit package that starts day one! Including: • Medical, Dental, and Vision benefits, • Employer-paid Life and LTD, • 401k w/ matching – once eligibility is met, • Work/life balance, • Paid Volunteer Program, • Flexible working hours, • Generous FTO, • Remote work options, • Employee Discounts, • Working with talented, collaborative, and friendly people who love what they do, • Professional growth within, • Innovation environment At ELLKAY, we are committed to operating as a hybrid workplace, offering employees flexibility in how they structure their time between in-office and remote work. We recognize the significance of fostering connections, collaboration, and creativity within our office culture and its positive impact on our business. Our philosophy of operating as a hybrid workplace underscores our dedication to enabling employees to tailor work-life balance to their individual preferences. For those who do not live within 40 miles of one of our offices, we are open to considering remote work for candidates whose skills and experience strongly align with the role. While we prioritize a hybrid work environment for most roles, we understand the importance of flexibility and are open to remote work for specific positions and specialized skill sets. For more information on our company, visit . ELLKAY LLC is a Smoke-Free Workplace. ELLKAY, LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Job Description Cooperidge Consulting Firm is seeking a Performance Manager (Investment Data Analyst) for a premier $20B+ Global Equity Investment Management Firm in New York, NY. Reporting directly to the COO, this key role is responsible for the integrity and evolution of the firm’s performance reporting, risk analytics, and attribution frameworks. The Manager will act as a strategic bridge between the investment team and client services, providing sophisticated data simulations and ensuring global compliance standards (GIPS). This is a rare opportunity to join a stable, prestigious firm known for its high professionalism, intellectual curiosity, and elite employee perks. Job Responsibilities • Performance & Attribution: Design and manage complex attribution reporting aligned with investment strategies, including risk-based attribution and ex-ante risk analysis., • Risk Analytics: Enable broader risk reporting for investment strategies, including liquidity analysis, country-specific risk, and volatility reporting., • Compliance & GIPS: Assist in the development and standardization of GIPS composites and lead the coordination with external verification examiners to ensure regulatory compliance., • Investment Support: Maintain and optimize screening tools to identify the investable universe based on parameters defined by the investment team., • Client Service Analytics: Develop marketing-ready analytics highlighting portfolio characteristics, risk exposures, and performance drivers/detractors., • System Optimization: Evaluate and optimize research and data systems (FactSet), including the integration of AI-driven tools to automate and streamline workflows., • Bachelor’s degree in Finance, Business, or Computer Science is required., • Technical or programming background (Python/SQL) is highly preferred., • CIPM or CFA designation is a significant advantage.Experience, • Minimum of five (5) to ten (10) years of relevant experience in Investment Management., • Extensive experience with Global Equities and long-term investment strategies., • Deep expertise in GIPS and SEC reporting standards.Technical Skills, • FactSet & Excel: Advanced proficiency is REQUIRED; must be expert in extracting data and presenting it via complex charts and tables., • Quantitative Mastery: Deep understanding of how returns are calculated, evaluated, and modeled., • Comprehensive health, vision, and dental insurance plans, • Life insurance coverage, • 401(k) retirement plan with company matching contributions, • Paid time off including vacation, sick leave, and holidays, • Opportunities for career growth and advancement

Job Description Join a forward-thinking financial conglomerate and be at the forefront of innovation in the industry. We're seeking a Machine Learning Developer to be part of our dynamic team. If you're a Python enthusiast or an adept programmer with a passion for data-driven decision-making, we want to talk to you. Job Description: Position Overview: As a Machine Learning Developer, you'll be a valuable member of our team, working on projects that span from infrastructure development to cutting-edge modeling. The ideal candidate is someone with strong coding abilities and a solid foundation in mathematics, computer science, statistics, or machine learning. If you have an entrepreneurial spirit, a collaborative mindset, and a hunger for professional growth, we'd love to meet you. Key Responsibilities: • Engage in a mix of infrastructure work (25%) and modeling (75%)., • Handle projects in various ML disciplines, including Natural Language Processing (NLP), unstructured data analysis, predictive modeling, and classic machine learning., • Collaborate with a two-person team and liaise with different stakeholders within the organization., • Strong coding skills, preferably in Python or a similar programming language., • Solid background in mathematics, computer science, statistics, or machine learning., • A proactive and entrepreneurial mindset., • Preferred: At least 2 years of professional work experience., • Experience in ML disciplines, particularly in NLP, unstructured data analysis, predictive modeling, or classic machine learning, is a significant advantage. Application Process The application process for the Machine Learning Developer position consists of three steps to ensure we find the best candidates: Step 1: Introductory Call The first step involves a 30-minute introductory call with the hiring manager. This is an opportunity for you to discuss your skills, experience, and aspirations, and to learn more about the role and the team. Step 2: Coding Algorithm Test If you successfully pass the introductory call, the second step is a coding algorithm test. You will be provided with a coding challenge to assess your problem-solving and programming skills. This test helps us understand your practical abilities and how well you can apply your knowledge to real-world scenarios. Step 3: Coding Interview In the third step, we will conduct a coding portion of the interview to evaluate your development skills in more depth. This interview is designed to ensure that your coding and development skills meet our standards and align with the responsibilities of the role. We encourage all qualified applicants to take the first step and schedule an introductory call. Join our innovative team and demonstrate your development skills to make a significant impact in the financial industry. To schedule your introductory call and advance to the next steps, please send your resume and a brief introduction. Cypress Group is committed to diversity and inclusion in the workplace. We appreciate the interest of all applicants and will contact candidates who advance to the coding interview phase.

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are looking for a Staff Software Engineer to join our team and help us develop the core systems powering our clinical research. You will work closely with a talented product and data science team, stay up-to-date with the latest technologies, and contribute to a fast-paced, innovative environment. The ideal candidate for this role should be able to deliver across the tech stack and is eager to learn and apply new techniques and technologies. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Design and build extensible systems that can grow with the business needs, • Collaborate across disciplines to understand our domain and iterate on new ideas, • Lead technical strategy and decision-making, • Protect our users' privacy and security through secure coding practicesWhat you will bring to the team:, • 7+ years hands-on work delivering full-stack software, • Excellent communication skills and ability to clearly communicate design rationale and concepts, • Familiarity with Python, React, NodeJS, Docker, and AWS, • Excellent understanding of SQL and data modeling, • Familiarity building scalable data pipelines, query optimization, data modeling, and defining reusable datasets, • Experience working in a team using agile methodologies and fluency with the agile toolkit, • Experience mentoring team members and acting as a technical multiplier, • A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success, • A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedbackTechnologies we use: Python, TypeScript, React, NodeJS, Kubernetes, Postgres, Snowflake, EMR, Airflow, AWS, Terraform This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Compensation Transparency: The target salary range for this position is $240,000 - $285,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at .

Job DescriptionSalary: $25 hourly At ACG, we believe meaningful career growth starts with real-world experience. As an intern, youll gain hands-on exposure to IBM Business Analytics technologies while learning to design and implement solutions that help organizations make smarter business decisions. Youll collaborate with seasoned consultants and IT professionals who specialize in building and supporting enterprise-grade systems. Technologies you may work with include IBM Planning Analytics (TM1), MCP Severs, LLMs, Python, Rest APIs, relational data stores. This internship runs for four weeks, approximately 24 hours per week, with flexible scheduling and remote participation. The program is designed to introduce participants to the IBM Cognos Planning Analytics technology stack and related technologies. Those who complete the internship will be considered for future hybrid full-time opportunities based in Parsippany, NJ. The position pays $20 per hour during the program. Qualifications Were seeking candidates completing their undergraduate degree by December 2025, or recent graduates. Preferred majors include Computer Science, Management Information Systems, or Finance/Business with programming experience. A background or strong interest in business finance is highly valued. Ideal candidates will demonstrate knowledge of programming concepts and familiarity with one or more languages such as Java, C, or Python. Experience with relational database querying is also preferred. Strong communication skills and a genuine interest in applying technology to solve business challenges are essential.

Job DescriptionWho we are Findigs is on a mission to make renting work for all of us: to support every path, and simplify the way forward. We’re making every aspect of renting fairer, stress-free, and more convenient by changing the fundamentals of renting.Our digital rental application offers a safe and seamless way to apply and get approved for your next home. We specialize in developing software and services for property managers nationwide, empowering them to deliver exceptional service to renters, while evaluating applications with unmatched speed and precision. The Role As a Senior Software Engineer, you will play a pivotal role in delivering innovative and fast-paced software solutions. In this role, you will own end-to-end product features, working alongside a cross-disciplinary product team composed of Product, Data, Design and Engineering. You’ll also work with the team to drive solutions that address product and business objectives to make renting a better experience for everyone. In this Senior position, you will be responsible for delivering product features to market. You’ll be tasked with partnering with cross-functional partners, while mentoring and coaching early career Engineers in order to up-level skillsets and foster a strong, collaborative team dynamic. Our tech stack includes: Python, Django, Typescript, React, Temporal.io, Postgres, and more. Please note, we are unable to sponsor or take over sponsorship of an employment Visa at this time.Where you will make an impact: • Lead the design, development, and deployment of end-to-end web applications and services., • Partner with Product, Data Science, Compliance, and Security to define, scope, and deliver impactful projects., • Architect scalable, performant, and secure systems, and guide technical decisions across the stack., • Own features from concept to integration, collaborating with engineers to connect frontend and backend systems., • Champion secure coding practices, reusability, and maintainability through hands-on development and code quality standards., • Contribute to team performance through mentorship, code reviews, pairing, and thoughtful technical documentation., • Continuously improve site performance and observability using telemetry and proactive optimization., • Help prioritize features, navigate trade-offs, and shape the user and developer experience with creative, practical solutionsQualifications of a successful candidate:, • Bachelor’s Degree in Computer Science/Engineering, bootcamp or equivalent work experience., • 6+ years of full-stack development experience with proficiency in Node.js, Python, Java, or Ruby., • Strong experience with relational and NoSQL databases, such as PostgreSQL, MySQL, MongoDB, or DynamoDB., • Skilled in API design (REST, GraphQL, gRPC) and service-oriented architecture., • Hands-on experience with cloud platforms (AWS, GCP, or Azure), containers, and orchestration tools like Docker and Kubernetes., • Familiarity with CI/CD pipelines, automated testing, and test-driven development., • Solid understanding of security best practices, encryption, and data privacy regulations (e.g., GDPR, CCPA, PCI-DSS)., • Excellent communicator with experience collaborating across teams and leading engineering initiatives., • Proven leadership in mentoring, technical decision-making, and driving best practicesNice-to-haves:, • Experience in fintech or PropTech., • Background in identity verification, KYC standards, and fraud detection technologies., • Familiarity with document verification tools and AI-based identity solutionsExperience working in regulated industries and with compliance frameworks like AML and KYCWhat we offer:, • Location: We operate on a hybrid schedule (3-4x times in-office per week), with in-office days at our newly renovated NoHo office., • Mission-Driven Culture: A collaborative, high-impact workplace where we challenge each other to grow, innovate, and drive meaningful change., • Competitive Compensation: Competitive base salary + Pre-IPO equity., • Generous Time Off: We trust our team to manage their own time and workload. That's why we offer a flexible Paid Time Off (PTO) policy, allowing you to take the time you need to rest and recharge. We also observe all company holidays.

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job DescriptionAbout DuettiDuetti is redefining how independent music creators monetize and grow their careers. Founded in 2022 by CEO Lior Tibon and COO Christopher Nolte, Duetti partners with creators to unlock the value of their catalogs through flexible, straightforward deals, while also offering top-tier catalog management, distribution, and marketing services. Since its founding, Duetti has partnered with over 1,100 music creators across 40 countries, including Connor Price, Ingrid Contreras, and Brent Morgan, helping them monetize their music on their own terms and reach new audiences. Backed by leading investors including The Raine Group, Flexpoint Ford, Nyca Partners, Viola Ventures, and Roc Nation, Duetti has raised over $635 million in capital to fund independent music creators. Fueled by a belief in independence and financial empowerment, Duetti is building a more sustainable future for music creators everywhere. With offices in New York City, Los Angeles, Miami, and London, Duetti offers competitive benefits, flexible paid time off, and a hybrid work model. We pride ourselves on a culture that blends ambition with genuine care – an environment where your work immediately shapes outcomes for artists worldwide. Job DescriptionAt Duetti, data is at the heart of everything we do. We are seeking a skilled Backend Developer with experience in DevOps and full-stack development to join our team. In this role, you will be instrumental in optimizing the infrastructure that powers our data-driven initiatives, supporting cloud deployment, and enhancing the developer experience. Your expertise will contribute to building scalable and robust systems, enabling efficient deployment, monitoring, and management of our applications. As a Backend Developer at Duetti, you will collaborate closely with data engineers, data scientists, and cross-functional teams to understand their requirements and implement high-quality solutions. We provide our engineers with the platform to enhance their skills and grow in their careers. We are looking for a talented individual with strong back-end development skills, experience in cloud technologies, and a good understanding of scalable infrastructure systems. Proficiency in scripting languages such as Python is essential. Familiarity with cloud platforms like AWS and experience with containerization technologies, such as Docker or Kubernetes, are required. A problem-solving mindset, the ability to work collaboratively, and a passion for building efficient and scalable systems are key qualities for success in this role. Join our team and contribute to the growth and success of Duetti as we leverage data and the cloud to transform the music industry. We offer a competitive compensation and benefits package, along with opportunities for professional development and growth. You Will: • Design, develop, and maintain scalable and robust back-end systems to support data processing, analysis, and API services., • Collaborate with front-end developers and cross-functional teams to integrate server-side logic with user-facing elements., • Design and implement secure, scalable APIs to facilitate communication between services., • Contribute to the design and optimization of our cloud-based architecture, ensuring reliable and secure operations., • Implement cloud-based services and technologies to support efficient data processing and storage., • Work with containerization technologies, such as Docker or Kubernetes, to ensure scalability and flexibility., • Automate deployment, monitoring, and maintenance processes to improve efficiency and reduce downtime., • Troubleshoot and debug infrastructure-related issues, providing timely resolution and ensuring smooth system operations., • Collaborate closely with data engineers, data scientists, and other stakeholders to understand requirements and implement high-quality solutions., • Stay updated with the latest trends and technologies in cloud computing, API design, and infrastructure development, proposing innovative solutions to enhance our systems.Requirements:, • Bachelor’s degree in Computer Science, Engineering, or a related field., • 5+ years of proven experience as a Backend Developer, DevOps Engineer, or similar role, with hands-on experience in building and maintaining scalable infrastructure., • Strong experience in API design and implementation, ensuring security and scalability., • Proficiency in back-end programming languages such as Python, and experience with full-stack development is a plus., • Strong understanding of scalable architecture and best practices for infrastructure and API development., • Familiarity with cloud platforms, such as AWS, and experience with cloud services (e.g., EC2, S3, Lambda, EKS)., • Experience with containerization technologies, such as Docker or Kubernetes., • Knowledge of CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or CircleCI., • Experience with infrastructure as code (IaC) tools like Terraform or CloudFormation., • Knowledge of monitoring and logging tools such as Prometheus, Grafana, ELK Stack, or Datadog.

Job Description Do you want to be part of the core team building truly AI-native helpful experiences across the consumer space? Do you want to be at the cutting edge of what is next in the AI space but apply it to something of true value in the real world? At Verneek, we are on a mission to build the most helpful AI that augments the knowledge of anyone, anywhere, at any time! As opposed to the mainstream, we believe that the way to bring domain-general AI to the masses is to apply it one domain at a time, through AIs with deep domain expertise. We were on this journey before it got the hottest thing on the face of the planet! Come join some OGs in this so-called "generative AI" space and invent what is yet to be the future! If you are craving to learn something new every day while working at the cutting edge of AI, Verneek could be a perfect opportunity for you: a deep-tech AI startup, where you'd get to learn, innovate, and leave your mark every single hour of every day. We are looking for a stellar & highly ambitious ML engineer as core employees to help build complex AI/NLP models supporting the Verneek AI platform! You'll get to work on fundamental AI research problems, but all grounded on our proprietary AI platform. It is all much more rewarding and influential than working on beating AI benchmarks! :) Every day, you'll get to solve very unique, highly complex, and socially impactful problems. This is an early-stage startup, so we'll be moving super-fast and there will be no legacy obstacles on your way to make a significant impact. Whatever you do every hour of every day counts!! RESPONSIBILITIES MINIMUM QUALIFICATIONS • BSc. degree in Computer Science or related fields, • 3+ years of experience with Python, • 3+ years hands-on experience developing architectures with machine learning frameworks such as PyTorch, • Demonstrated AI/NLP engineering skillset through having deployed largescale AI/NLP systems to production, • Work authorization in the USA at the time of hire, • Continuing work authorization during employment can be sponsored by Verneek PREFERRED QUALIFICATIONS • MSc. degree in Computer Science or related fields, • Experience in Natural Language Understanding, Dialogue Systems, Semantic Parsing, Transfer Learning and learning with limited data, • Experience with building models in the commerce/retail domain Stellar medical, dental, vision, disability, and life insurance Daily private Chef lunch, curated to personal diets Transportation Benefits 401K matching contributions Flexible PTO Visa/Green Card Sponsorship Career growth support through sponsoring learning opportunities and mentorship About Verneek Verneek is an early-stage deep-tech AI startup, based in the NYC area, founded by a team of leading AI research scientists and backed by a group of world-renowned business and scientific luminaries. Our mission is to build the most helpful AI for anyone, anywhere, at anytime. We are obsessed with what we do and we have fun doing it. Read more about verneek here: and make sure to watch all our introductory videos and yearly recaps here: . Verneek Culture It’s often hard to put “culture” into words, perhaps you can get a visual sense of our culture here: . We all obsessively love what we do, care about each other, share all sorts of meals together, celebrate all kinds of events together, and work tirelessly with the excitement of making a difference through AI innovation. We are enjoying the journey, and going through all the ups and downs together. Although we have come a very long way in setting the foundations of our unique company, but we still have ways to go and you can help shape our culture! The core Verneek team plays a crucial role in further shaping the culture of the company moving forward. We are looking for highly ambitious and tremendously driven individuals who can take the lead in driving various aspects of the company, and help us shape its lasting impact. Annual Salary Range: $40K-$200K

Job Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022), • Design, build, and deploy end-to-end AI-powered solutions using AI models (e.g., OpenAI, Gemini) and modern orchestration techniques such as RAG, multi-call prompting, and agent frameworks to power intelligent product experiences., • Work with product, data, and engineering teams to turn rich healthcare data into actionable insights and intelligent workflows that improve the care journey for both members and providers., • Develop robust ML pipelines and platform components that enable model experimentation, fine-tuning, training from scratch when needed, and deployment in production environments — with a strong focus on scalability, safety, and performance., • Collaborate cross-functionally to prototype and productionize AI-driven features such as personalization, care routing, decision support, and summarization., • Drive architecture discussions and technical decision-making across AI/ML systems, promoting best practices in coding, design, and evaluation of AI models., • Mentor engineers and data scientists across the organization, fostering a strong culture of curiosity, experimentation, and AI fluency., • A strong track record in either:, • Building AI-powered applications using foundation models and orchestration techniques (e.g., RAG, agents, LangChain, vector search), or, • Deep experience as a data scientist working across the data science lifecycle — from understanding messy, complex datasets to training or fine-tuning models that deliver measurable business impact., • Experience integrating and deploying foundation models via platforms like OpenAI, Google Vertex AI, or similar., • A clear understanding of how to work with health-related datasets, including user behavior, care journeys, health profiles, and provider interactions., • Fluency in Python and experience with backend or platform engineering in one or more additional languages (Go, Java, etc.)., • Familiarity with cloud-native systems (e.g., containerization, orchestration, distributed systems) and how to operationalize AI solutions within them., • Experience with data preprocessing, feature engineering, model evaluation, and end-to-end ML deployment workflows., • A collaborative mindset, strong communication skills, and a passion for using AI to improve healthcare outcomes., • Bachelor's or Master's degree in Computer Science or related field, or equivalent experience. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .

Job Description Senior Machine Learning Engineer - up to $200k base + equity We accelerate the deployment of climate tech solutions by providing clients with industry leading insights, data, analytics, and research on both technologies and markets. Our subscription intelligence platform gives investors, corporates, and governments the insights they need to anticipate developments and to confidently build and finance the new climate economy. We produce the industry-leading newsletter read by 60,000 climate leaders. We are looking for a Senior Machine Learning Software Engineer to join our engineering team. As a Senior ML Software Engineer, you will design, develop and implement software solutions across our machine learning and data stack, and play a crucial role in delivering insights into the new climate economy to investors, corporates, and governments mobilizing strategies in the climate transition. Our ideal candidate has a strong technical background and a willingness to “wear many hats”, learn new skills, and take the initiative to develop new features as needs arise. The Role • Collection — Implement web scraping and other collection techniques to increase the speed, efficiency, and breadth of data collection., • Processing — Implement AI, natural language processing, and machine learning models to extract, classify, and transform data., • Infrastructure — Assist in developing and maintaining our internal data server and web interface. This will include developing new features for data entry and validation of AI-generated data., • Analysis — Analyze the performance of the machine learning and data stack to identify opportunities to improve coverage and accuracy. The Essentials • 5+ years experience as a Software Engineer, Machine Learning Engineer, Data Engineer or equivalent, • Deep expertise in Python development, • Experience in machine learning / natural language processing, • Proven history developing and maintaining production-grade software, • A passion for addressing the climate crisis through high quality research and data, • Interest in working for a fast-moving startup with a small, international team, • A BSc degree in Computer Science, Engineering or other relevant field A Plus • Experience using Django and AWS, • A successful history of manipulating, processing and extracting value from datasets, • Experience working with Jira / Agile framework, • Experience using Bitbucket Pipelines, • Working understanding of climate tech sectors Our Offer • Opportunity to work and learn at a fast-growing climate tech startup, • Hybrid office based in New York, • Generous base salary + stock options, • Flexible working hours, • 20 days PTO + federal holidays, • Health coverage and 401(k)

Job DescriptionBusiness Information Management (BIM) Associate Positions • Are you looking to get hands-on experience designing data ecosystems, building insightful dashboards, and implementing AI solutions?, • Do you want to develop data and AI strategies for the Life Science industry, impacting millions of lives?, • Is working with some of the brightest minds in the data management and analytics industry a goal?If you answer yes to any of these questions, read on and learn about Axtria's BIM Opportunities Why Axtria? Axtria is an emerging force in the data analytics industry with corporate headquarters in Berkeley Heights, NJ, with offices in Boston and Chicago. We work exclusively with companies in the Life Science industry, helping our clients solve some of their most complex problems. We blend information, analytics, AI, and technology to help organizations gain a competitive edge to improve patient outcomes and drive business growth. What's in it for you? Growth! Advancement of your technical and AI skills. A high performance culture of doing the RIGHT thing. Business Information Management Associates use cloud technology and AI to ingest, integrate, and process data to build advanced data platforms and analytical ecosystems for our clients. You'll work with our cutting-edge platforms like Axtria DataMax™, InsightsIQ™, SalesIQ™, and MarketingIQ™ . Outputs include AI-enhanced data warehouses, data lakes, and actionable insights across client's data ecosystems. Simply put, our "Data Engineers" build and distribute intelligent data solutions for our clients in the Life Science Industry. Potential Responsibilities may include (but not limited to) any of the following activities: • Build and implement AI/ML models within data pipelines and analytical ecosystems, • Evaluate AI solutions for data management challenges, assessing technical feasibility and business value, • Understand AI limitations and implementation risks to ensure reliable and responsible AI deployment, • Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to ensure AI-enhanced data assets are available, accessible, and reliable, • Hands-on data engineering with AI integration, data processing, ETL technologies using tools/frameworks such as Apache Spark, Apache Airflow, and ML pipelines, • Supporting Enterprise Data Management with AI capabilities, including automated Data Quality, Master Data Management, and intelligent Data Governance, • Integrate GenAI capabilities into data platforms for automated reporting and intelligent data discoveryAbout You, • Working towards a Masters with preference given to those studying Management Information Systems, Business Analytics, Computer Science, Data Science, Economics, Math, Stats, or Operations Research, • AI/ML Knowledge: Understanding of machine learning concepts and their integration with data platforms, • Programming Skills: Experience or strong foundation in Cloud Technology, SQL, Python, • AI Tools: Familiarity with AI/ML frameworks and their application in data engineering environments preferred, • Visualization: Experience with Tableau, Power BI and understanding of AI-enhanced dashboard development, • Must have strong communication skills, comfortable presenting AI and data concepts to both technical and non-technical audiences, • Problem-solving mindset: Obsessed with working through and solving complex data and AI challenges. Adaptable and innovative., • Dedicated team player who enjoys collaboration with the primary goal of "getting it done", • Graduating between December 2025 and June 2026 Pay Transparency Laws Salary range or hourly pay range for the position The salary range for this position is $70,000 to $85,000 annually. The actual salary will vary based on applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant’s geographic location. Powered by JazzHR HzOhA4teq9

Job Description Trexquant is a growing systematic fund at the forefront of quantitative finance, with a team of world-class researchers and engineers. As we continue to expand our trading operations, we are investing heavily in building the next generation of our quantitative research & trading platform. We are seeking an Early Career Software Engineer with strong programming skills to join our engineering team. In this role, you will work closely with experienced engineers and quantitative researchers to develop the infrastructure that powers systematic trading, including data pipelines, back testing tools, and execution systems. You will have the opportunity to contribute to greenfield development projects, where you’ll help build new systems from the ground up, driving innovation and scalability in our technology stack. Responsibilities • Full lifecycle development of low-latency, high-throughput research and trading systems using C++, C, Java, or Rust, • Build and optimize data processing pipelines to ensure reliable access to large, high-quality datasets., • Assist in developing tools for back testing, model training, and strategy evaluation., • Collaborate with researchers and traders to deliver technical solutions that improve research productivity and trading performance., • Participate in code reviews, testing, and documentation to maintain high-quality standards., • BS/MS degree in Computer Science, or a related STEM field, • Strong knowledge of data structures, algorithms, and object-oriented programming., • Proficiency in one or more programming languages: C++, C, Python, Java, or Rust., • Familiarity with Linux environments, • Competitive salary plus bonus based on individual and company performance., • Collaborative, casual, and friendly work environment., • PPO health, dental, and vision insurance premiums fully covered for you and your dependents., • Pre-tax commuter benefits., • Weekly company meals. Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026. The base salary range is $130,000 - $175,000 depending on the candidate’s educational and professional background. Base salary is one component of Trexquant’s total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer.

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 Search engineers at Whatnot are responsible for building the best search experience for users to find the most relevant content on the platform: streams, products, and others in the community. To achieve our goals, we are passionate about understanding, building and maintaining a healthy ecosystem, where buyers find engaging content and sellers thrive with their business. We focus on a wide variety of problems: taxonomy, search and filters, retrieval and ranking algorithms, as well as content understanding. We make data informed decisions and ship quickly to benefit our users. The software team has a lot of individual responsibility and many more freedoms, so we need to hire people we can trust. Your ability to make good trade-offs and exercise good judgment is essential to us. At this time, we are hiring Backend Engineers for the Search team. 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 New York City, San Francisco, Seattle or Los Angeles hub. 👋 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. * 4+ years of software engineering experience. * Bachelor’s degree in Computer Science, Machine Learning, Statistics, a related field, or equivalent work experience. * Software engineering experience with a track record of applying practical methods to solve real-world problems on consumer scale data. * Experience in applied statistical and machine learning fields e.g. Search, Recommendations, Fraud & Anomaly Detection, Experimentation and Causal Analysis. * Knowledge of at least 3 languages (we primarily use Python, Elixir, JavaScript, and are open to others). * Excellent product instincts. You first think about users rather than the best technical solution. * You are known for shipping products and features lightning-fast. * You’re an excellent problem solver and don’t need to be told exactly what to do. * Ability to pick up on new technologies very quickly. * Proven track record of delivering features. * Startup experience at a high-growth company. 🎁 Benefits * Flexible Time off Policy and Company-wide Holidays (including a spring and winter break) * 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: $170K - $230K

Job Description#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors As a Senior or Staff Software Engineer at Nextdoor, you'll join a focused team of developers, product managers, and designers who are passionate about using technology to cultivate a kinder world where everyone has a neighbor they can rely on. We are a small, high performing team of engineers that wear multiple hats and prioritize impact for our customers. We care about moving fast and delivering impact, without compromising on quality and reliability as guided by our Engineering Principles. You will have the opportunity to learn from your co-workers and teach them. As a team, we will make each other better and build great software. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You'll Make We believe in empowering our teams to own all aspects of bringing Nextdoor to life. As such, you'll get the opportunity to make key contributions across our engineering stack - this includes developing and improving frameworks across our backend services, in addition to making direct contributions to your team's product area. In addition to writing code, you'll help define the features that we build, through collaboration internally with product managers, data scientists, and other engineering leaders. We believe engineers should have a stake over all aspects of the product - from coming up with the next big ideas to build, through helping set expectations and plan roadmaps, all the way through understanding the impact of new features through rigorous data analysis. As your career at Nextdoor develops, you'll also get the chance to grow your role towards what you're most passionate about. Your responsibilities will include: • Backend development in a variety of languages/frameworks including:, • Python/Django, • Kotlin / JVM, • Go, • SQL, • GraphQL, • Redis, • Postgres, • Kafka, • AWS, • Mentoring a team of talented engineers designing and building the next generation of Nextdoor, • Collaborating with product management, data science, and design to ensure we build the right things to maximize impact on neighbors, • Working with engineers in Toronto, New York, San Francisco and beyond, • Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises, • Build in-person relationships with team members and contribute to Nextdoor's company cultureWhat You'll Bring To The Team, • 6+ years of experience as a Software Engineer and a Bachelor's degree in Computer Science, or equivalent work experience, • High-initiative leader who can drive technical vision to enable the rapid iteration of Nextdoor's product, • Strong coding and debugging abilities across multiple systems and domains, • Experience designing, building and deploying flexible backend systems at scale The starting salary for this role is expected to range from $165,000 to $250,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate's geographic location. We also expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date would be within the first 3 months of your start date. Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here. #LI-Hybrid

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role Joining Hinge’s AI Platform Core team offers a unique opportunity to help define and contribute to a growing ML platform with the goal of accelerating the development, deployment, and operations of AI enabled features on Hinge. If you are excited by the idea of working on challenges ranging from maturing and scaling our training and serving frameworks to enable millisecond real-time predictions and models that continually learn at scale, providing automatic model performance monitoring & debug frameworks, and building Platforms for architecting and evaluating generative AI & Agentic systems, then read on! With a mission to democratize AI for Hinge, ensuring it remains easily accessible, robust, scalable, cost-efficient, and trusted. You'll collaborate across our product and platform teams, as well as with external stakeholders like data science and backend engineering. You will meet our internal customers where they are and optimize towards their needs by delivering value incrementally and coupled to their problems. Being part of a small yet impactful team means having a broad scope of responsibility. As the role of ML at Hinge is only becoming more impactful, this role provides you with a chance to grow in impact and scope across the company. This is an exciting opportunity to own and help define the future of machine learning within a growing and maturing team!Responsibilities • Own or contribute to technical designs for the feature platform, training platform, serving platform, AI observability platform and GenAI Platform and underlying operational infrastructure to enable Product impact., • Develop, maintain, and enhance frameworks for AI/ML model development and deployment while establishing and driving best practices in MLOps / GenAI engineering., • Design, advocate, and implement for usability, reliability, scalability, operational excellence, and cost management while delivering incrementally., • Collaborate closely with ML Engineers, Data Scientists, Data Engineers and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process., • Mentor and educate ML Engineers, Backend Engineers and Product Managers on current and up and coming tools and technologies for ML operations & GenAI product development through presentations and documentation., • Help design and architect an AI platform that adheres to the principles of responsible AI (Authenticity, Transparency, Equity) and builds privacy compliance into the platform., • Lead build vs buy discussions on technologies that underpin the Platforms we serve., • Participate in on-call and Incident Management processes. What We're Looking For, • 4+ years of experience, depending on education, as an ML, backend, data, or platform engineer developing and working with large scale, complex systems., • 2+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes, • 1+ year of experience leading projects with at least 1 other team member through completion., • 1+ year of experience for Senior designing and developing online and production grade ML systems., • A degree in computer science, engineering, or a related field., • Strong programming skills: Proficiency in languages like Python, Go, or Java., • System design & architecture: Ability to design scalable and efficient ML systems., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure., • ML knowledge: A basic understanding of ML algorithms, techniques, and best practices., • Data engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage, • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.., • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation #Hinge

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: The Dating Outcomes group is responsible for ensuring that people see their most compatible matches, helping them present themselves more effectively, and start meaningful conversations when they match. In short, we help people go on great dates! We are hiring Staff Machine Learning Engineers to help us build the foundations of an AI first dating experience using the latest advancements in the field, leveraging Hinge’s years of preference data. You can expect to build recommendation systems end to end, experiment with using LLMs, photo and mixed input embedding models, as well as build and deploy real-time predictive models that directly impact the experience of millions of users. This is a fast-growing team, and you will have the opportunity to own and define the strategy, vision, and plan for accelerating machine learning at Hinge.Responsibilities • Design and own foundational research and models that power our recommendations ecosystem., • Identify the next step change in our technical capabilities, conduct state-of-the-art applied research, and move them into production using best practices in machine learning engineering., • Design and implement solutions that prioritize availability, scalability, operational excellence, and cost management, while delivering incremental impact to our daters., • Collaborate closely with Directors and VP+ to understand and shape Hinge’s strategic direction, as well as work with other Machine Learning Engineers, Product Managers, Data Engineers, and Scientists to make that a reality., • Coach, mentor, and educate Machine Learning Engineers on current and SOA research, technologies, and best practices of practicing machine learning at scale.What We're Looking For, • Strong programming skills: Proficiency in languages like Python, Java, or C++ and a deep understanding of low-level deep learning computation fundamentals., • System design & architecture: Proven track record of research, training, and deployment of DNNs at scale. Deep understanding of distributed computing for learning, data processing, and inference., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, Databricks, KubeFlow, or W&B is a plus., • ML knowledge: Deep understanding of various DNN architectures, track record of building, debugging, and fine-tuning models., • DevOps skills: Track record of deploying, managing, and orchestrating offline and online deep learning models at scale., • Data engineering knowledge: Skills in handling and managing large datasets, including data cleaning, preprocessing, and storage. Deep understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds. Proven ability to influence company strategy and direction is a plus., • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation, • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 8+ years of experience, depending on education, as an MLE., • 4+ years of experience working in a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes., • 4+ years of experience in designing and developing online and production grade ML systems., • 3+ years of experience leading projects with at least 2 other team members through completion. #Hinge

Job Description COMPANY: Canoe Intelligence WEBSITE: TITLE: Software Engineer, Microservices LOCATION: New York City (hybrid) or Fully Remote in the United States SALARY: $115,000 - 135,000 + Equity (based on NYC, will be adjusted for geo) The Role: We are seeking a Software Engineer to join our Data Services team, responsible for building the microservices that power Canoe’s industry-leading Alts Data Platform. This team owns the core backend services that ingest, process, and serve data across Canoe products, and will play a critical role in the platform’s continued growth and evolution. You will play a key role in designing and building scalable, reliable, and maintainable services. This role is hands-on and execution-focused, with meaningful ownership over service design, implementation, and production operations. You will help shape how Canoe builds and operates backend systems, and contribute directly to the team’s technical direction over time. What You’ll Do: * Design, build, and maintain backend microservices primarily using Python. * Build synchronous REST APIs (primarily with FastAPI) and background job processing systems that support event-driven architectures. * Develop services that run in AWS, including Lambda-based workloads and supporting infrastructure. * Design and work with relational data models backed by PostgreSQL, and object storage using S3. * Collaborate closely with Data Engineering and AI / ML Engineers to integrate data pipelines, automation, and intelligence into Canoe systems. * Participate in cross-functional teams as the backend engineering representative. * Build observable systems and be an organization leader in operational excellence. * Take ownership of services end-to-end, including production support and ongoing improvements. What We’re Looking For: * Minimum 5 years of experience in software development, with a focus on backend or microservices systems. * Strong experience building web services in Python, including REST APIs. * Experience with FastAPI (or equivalent Python web frameworks). * Experience working with AWS services, including Lambda. * Experience working with PostgreSQL and relational data modeling. * Familiarity with background job processing and event-driven system patterns. * High agency and a strong sense of ownership and accountability. * Curiosity and a willingness to learn new technologies and approaches. * Strong communication skills and a history of working well with both technical and non-technical stakeholders. * Openness to, and advocacy for, AI-assisted development tooling, with experience using coding agents such as Claude Code or similar tools. * Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). What You’ll Get: * Medical, dental, vision benefits * Flexible PTO * 401(k) * Flexible work from home policy * Home office stipend * Employee Assistance Program * Gym/Wifi reimbursement * Education assistance * Parental Leave Our Values: * Client First —> Listen, and deliver client-centric solutions * Be An Owner —> Take initiative, improve situations, drive positive outcomes * Excellence —> Always set the highest standard for yourself and others * Win Together —> 1 + 1 = 3 Who We Are: Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe’s technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe’s AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm. Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Job DescriptionAbout Goodie AI: Goodie helps leading brands win AI search. As billions of people use ChatGPT, Perplexity, Gemini, and other AI systems to discover products and make buying decisions, brands need a way to understand and influence how they’re represented. Goodie gives teams a full AI control plane: real-time visibility into how AI models speak about their brand and products, how competitors show up, and an optimization engine to improve visibility and performance. This category didn’t exist two years ago - we were early, and we’re defining it. We’re backed by strong investors, trusted by category-leading customers, and scaling fast. We’re hiring curious, ambitious builders to help shape the future of AI search. We are looking for: We're seeking an exceptional Senior Software Engineer to join our rapidly growing AI Lab. You will play a critical role in driving and accelerating the development of cutting-edge AI use cases, working closely with our Product Lead, Designers and Machine Learning Engineers to design and build scalable, industry-leading AI solutions. You'll do: * Lead the development of our AI platform, focusing on scalability, speed, and user experience. * Architect and develop front-end solutions using React to create smooth, engaging, and intentional user experiences. * Implement back-end infrastructure with a focus on speed, scalability, security, and seamless integration with various platforms via robust API connections. * Utilize DevOps practices to manage the deployment pipeline, ensuring efficient, reliable, and secure software delivery. * Collaborate with UX/UI Designers to translate web designs into functional, intuitive user interfaces. * Work closely with Data Scientists to ensure accurate data collection, analysis, and application within the platform. * Participate in the entire application lifecycle, from coding to debugging and testing, with an emphasis on quality and performance. * Maintain and optimize the performance of existing applications. * Stay up-to-date with emerging technologies and explore potential integrations to enhance our operations. You have: * 5+ years of full-stack development experience with a proven track record of building high usage B2B software applications. * Proficiency in React for front-end development, with a strong understanding of how to build responsive, high-performance web applications. * Experience with server-side languages such as Python, Node.js, or Java. * Strong understanding of DevOps practices and experience in software deployment, including CI/CD pipelines, containerization (e.g., Docker), and cloud infrastructure (AWS, Google Cloud, or Azure). * Solid knowledge of database management systems (e.g., MySQL, PostgreSQL, MongoDB). * Experience with RESTful APIs, API integration, and data exchange formats (JSON, XML). * Familiarity with software development best practices, including version control (Git), testing, and continuous integration/deployment (CI/CD). * Excellent problem-solving skills and the ability to debug complex systems. * Strong leadership and communication skills, with the ability to collaborate effectively with cross-functional teams. * Passion for ad tech and a desire to work in a fast-paced, innovative startup environment. * BSc in Computer Science, Engineering, or a relevant field. BEWARE OF FRAUD! Please be aware of potentially fraudulent job postings or suspicious activity by persons that are posing as Goodie AI team members, recruiters, and HR employees. Our team will contact you regarding job opportunities from email addresses ending in @nogood.io or @higoodie.com. Additionally, we do utilize our ATS- Ashby- to help us schedule initial screening calls. Job seeking is hard- we’re sorry that scammers have added this element to your search for something new. Stay vigilant out there!

Job DescriptionFull-time Staff Software EngineerAbout Us We are a dynamic and innovative technology company dedicated to creating cutting-edge software solutions that transform businesses and enhance user experiences. Our team of passionate professionals works collaboratively to tackle complex challenges and deliver high-quality products that make a difference in the world. Job Overview We are seeking a highly skilled and experienced Full-time Staff Software Engineer to join our growing team. As a Staff Software Engineer, you will play a crucial role in designing, developing, and maintaining our core software products. You will be responsible for leading technical initiatives, mentoring junior developers, and contributing to the overall architecture and direction of our software systems. Key Responsibilities • Design, develop, and maintain complex software systems using a variety of programming languages, frameworks, and technologies, • Lead the development of new features and improvements to existing products, ensuring high-quality code and optimal performance, • Collaborate with cross-functional teams, including product managers, designers, and other engineers, to define and implement technical solutions, • Provide technical leadership and mentorship to junior developers, fostering a culture of continuous learning and improvement, • Participate in code reviews, ensuring adherence to best practices, coding standards, and architectural guidelines, • Contribute to the overall software architecture and technology stack decisions, • Identify and resolve complex technical issues and bottlenecks in the development process, • Stay up-to-date with emerging technologies and industry trends, evaluating their potential impact on our products and processes, • Write and maintain technical documentation for software systems and processes, • Participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives, • Collaborate with DevOps teams to ensure smooth deployment and operation of software systems, • Contribute to the development of internal tools and frameworks to improve team productivity and efficiency Required Qualifications • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, • 7+ years of professional software development experience, • Strong proficiency in full-stack development, including both frontend and backend technologies, • Expert-level knowledge of at least one modern programming language (e.g., JavaScript, Python, Java, C#, Go), • Extensive experience with web technologies, including HTML5, CSS3, and modern JavaScript frameworks (e.g., React, Angular, Vue.js), • Strong understanding of backend technologies and frameworks (e.g., Node.js, Django, Spring, ASP.NET Core), • Experience with database systems, both relational (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra), • Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud), • Strong understanding of software design patterns, algorithms, and data structures, • Experience with version control systems (e.g., Git) and collaborative development

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do As a Firmware Engineer, you'll focus on AMI SPX-based BMC firmware development for GB200 server platforms. You'll collaborate with cross-functional teams to develop, enhance, and optimize embedded firmware modules that power CoreWeave's large-scale data center deployments. Key Responsibilities • Develop & Maintain: Contribute to the design, implementation, and testing of BMC firmware in AMI SPX environments using C., • Integrate: Work cross-functionally with hardware, software, and QA teams to ensure seamless firmware-hardware integration., • Debug & Optimize: Perform issue triage, root-cause analysis, and implement bug fixes and performance improvements., • Testing & Validation: Conduct firmware validation across multiple hardware revisions and test environments., • Document: Produce clear and maintainable documentation for code, configurations, and testing procedures., • 2+ years of Hands-on experience with AMI MegaRAC/SPX firmware., • 2+ years of professional experience in embedded systems or firmware development with a Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or related field., • Proficiency in C and embedded development workflows., • Familiarity with Linux, Git, and debugging tools (GDB, JTAG, or equivalent)., • Understanding of hardware interfaces (I2C, SPI, UART) and firmware build systems., • Awareness of BMC architectures, DMTF Redfish, and IPMI standards., • Strong debugging and analytical skills with an attention to detail., • Exposure to GB200 or other NVIDIA Grace Hopper server platforms., • Experience scripting in Python or Bash for testing or automation., • Familiarity with Jenkins or similar CI/CD environments. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionCompany Description Uncommon Schools is a nonprofit network of high-performing public charter schools dedicated to providing an exceptional K-12 education in economically disadvantaged communities. Operating in Boston, Camden, New York City, Newark, and Rochester, we are committed to closing the college completion gap and preparing every student for college and beyond. Our students consistently exceed national benchmarks, reflecting our dedication to their success. We invest deeply in our educators, offering weekly coaching, feedback, and professional development to ensure excellence in teaching and leadership. Join us to work hard, do good, and make a lasting difference! Job Description Are you passionate about building AI systems that solve real operational challenges within the education sector? We're looking for a Senior Software Engineer to lead the vision setting for and deployment of AI solutions across Uncommon Schools—from intelligent agents that automate workflows to secure integrations with our core systems. In this role, you'll translate business needs into scalable AI infrastructure, mentor developers across functions, and help shape how our organization leverages generative AI. Your work will directly impact how thousands of educators and administrators work each day. Duties & Responsibilities Solution Vision & Architecture • Gather requirements from stakeholders across Uncommon and translate business challenges into comprehensive technical specifications for end-to-end AI systems, • Design and architect AI solutions including data flows, model selection, and integration patterns that balance innovation with reliability, • Rapidly prototype and build Proofs of Concept and Minimum Viable Products using Large Language Models, Retrieval-Augmented Generation (RAG) pipelines, and AI agent frameworks, • Architect and deploy production-grade AI agents that automate complex workflows while ensuring scalability, observability, and continuous performance monitoring, • Establish reusable AI stack templates and low-code tools that empower non-technical team members to develop solutions independently, • Maintain comprehensive documentation of AI environments, tools, and data flows to ensure organizational clarity and consistency, • Develop and maintain a library of "Prompt Blueprints" and best practices for AI implementation across the organization, • Ensure 100% compliance with security audits regarding personally identifiable information handling within AI systems, • Coach and support adjacent teams on AI development methodologies and emerging best practicesQualifications Required • Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent professional experience, • 7+ years of professional software development experience, • 5+ years of hands-on experience building integrations using APIs between applications, • 5+ years working with source control and continuous integration tools (such as GitLab), • Proficiency coding or scripting in at least one programming language (Python, SQL, JavaScript/TypeScript, or Node.js), • Experience with frequent, incremental code testing and deployment practices, • Master's degree in Computer Science, Data Science, or related field, • Hands-on experience with AI frameworks such as LangChain, LlamaIndex, TensorFlow, or PyTorch, • Expertise deploying solutions on cloud platforms (AWS Bedrock/SageMaker or Google Cloud Vertex AI), • Experience working with modern data tooling (e.g., dbt, Airflow) or similar frameworks for data transformation and workflow orchestration is a plus, • Experience designing and optimizing prompts for generative AI models, • Track record mentoring or coaching other developers on technical practices Additional Information Compensation Our people are what make us Uncommon. We offer competitive compensation and comprehensive benefits that support the personal health, wellness, and finances of our staff and their families. Our compensation philosophy values equity & fairness and attracting & retaining top talent. The full compensation range for this role is $120,700-$142,000. Typically, new hires who fully meet all qualifications listed in the job description will start at $124,300. Starting compensation below this reflects candidates with less experience or qualifications. Offers near the top end of the range are reserved for candidates who significantly exceed the qualifications, bringing extensive experience and specialized expertise beyond what is listed. Compensation determinations consider relevant professional experience and tenure with Uncommon Schools. Additionally, because we value internal growth and tenure, current staff members are not subject to salary caps within this range. Benefit Highlights • 19 days of paid time off, • 3 weeks of paid Winter and Summer org-wide holidays, • Comprehensive Health, Dental, and Vision insurance plans, • 403(b) retirement savings program + employer match, • Paid leave of absence options (parental, medical, disability, etc.), • Mental health and counseling support + wellness benefits, • Pre-tax flexible spending, dependent care, and health saving accounts, • Location: New York, NY | Hybrid (3 days/week in-office), • Schedule: 3 days per week in-office in accordance with Uncommon Schools policy, • On-call availability: You'll be on-call for data infrastructure emergencies, • Potential after-hours work: Data migrations, emergency pipeline fixes, and critical infrastructure maintenance may occasionally require work outside standard business hours, • Travel: Minimal travel, including quarterly school visits and routine local travel within the region As an equal opportunity employer, Uncommon provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We also ensure that individuals with disabilities receive all privileges and benefits associated with employment and are provided reasonable accommodations for the interview process and to perform core job functions. If you would like to request an accommodation, please email .

Job DescriptionVoleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more. Your Team As a Senior/Staff Software Engineer in our Data Engineering group, you will contribute to scaling and advancing our entire data operation. This includes procurement and ingestion of new datasets, enabling data processing and analysis in research and production environments, building data-related infrastructure and tooling, and collaborating closely with various teams to facilitate and improve their usage of data. You will work with our team lead to design, scope, and deliver large scale projects within the team. You will collaborate closely with a diverse group of engineers, and directly impact the team's productivity and successful delivery. You will help to define the team's technical roadmap towards achieving strategic-level engineering goals. You'll participate in mentorship and development of other engineers on the team, and shaping our company's engineering culture. We seek brilliant thinkers who are passionate about taming complexity and solving problems through innovation and rigorous engineering. You’ll work in a collaborative environment that encourages creative thinking and experimentation, and values efficiency and attention to detail. Our engineers come from leading technology companies and top academic programs. Our team partners closely with machine learning researchers. We pride ourselves on being kind, friendly, and down-to-earth, and look for people who share those qualities.Responsibilities • Engage and collaborate in diverse software development work, including design and implementation of distributed systems and services, maintenance and deployment of production workflows, development of tools and libraries, and more, • Support our trading operations and promote our research effort through reliable delivery of high-quality and easily accessible data, • Build scalable data infrastructure, robust storage and distribution systems, and fault-tolerant production-critical pipelines, • Lead complex projects from start to finish, including gathering requirements, creating a robust software design, reasoning about supporting or dependent technologies, and communicating effectively with stakeholders, collaborators, and teammates., • Provide technical guidance to engineering and research staff, • Provide mentorship and support to help grow other team members and up-level the teamRequirements, • Computer Science / Engineering bachelor’s degree (or equivalent), • 5+ years of relevant software engineering experience, • Proven track record of software design and implementation with focus on correctness, robustness, efficiency, and scale, • Experience working with large codebases and building modular, extensible, and maintainable software, • Expertise in a modern programming language, such as Python, Go, Java or C++, • Hands-on experience developing in a Linux/UNIX environment, • Design and implementation of scalable services and APIs, highly-available systems, and/or large-scale data infrastructure, • Experience with data storage and management technologies (e.g. PostgreSQL, Artifactory, Ceph, Redis)Preferred Qualifications, • Familiarity with cluster management and containerization technologies (e.g. Kubernetes, Docker), • Familiarity with job scheduling and orchestration technologies (e.g. Airflow, Slurm), • Familiarity with cloud storage, querying, and processing technologies (e.g. Iceberg, BigQuery, Snowflake, DynamoDB, Trino/Athena) #LI-MB1 We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description AI Intern (Part Time, 4-6months) About Us The Only Agency is a creative management agency, we represent wardrobe stylists, makeup artists, hair stylists, manicurists, photographers, creative directors, and more. With hubs in New York, Los Angeles, Nashville, and London, we are at the heart of the industries we serve. We champion creative leaders who persistently redefine trends and push the limits in the fashion, beauty, and entertainment industries. We are masters at establishing connections and pairing creatives to meet the needs of our celebrity, brand, and editorial partners. The Only Agency is seeking a Part-Time AI Intern (4–6 Month Term). The ideal candidate will be a current student or recent graduate with strong organizational, documentation, and technical skills who is eager to help teams apply generative AI in practical, measurable ways across the agency. Key Responsibilities • Design and run small, time-boxed AI pilots to support tasks such as research, drafting, meeting notes, and data cleanup, • Build and maintain a prompt and playbook library with clear how-to guides and examples, • Create and manage a central hub for approved AI tools, prompts, and best practices, • Track and document the impact of AI initiatives, including time saved and usage metrics, • Host short trainings, office hours, and enablement sessions to support adoption, • Evaluate off-the-shelf AI and research tools and document their use for internal teams, • Collaborate with HR and Legal to document privacy, confidentiality, and brand voice guidelines, • Package successful pilots into brief case studies for leadership and board presentations, • Current student or recent graduate in business, communications, information systems, computer science, or a related field, • Strong writing and documentation skills with the ability to create clear, step-by-step guides, • Familiarity with common AI tools and Google Workspace, • Proficiency with spreadsheets for basic tracking and reporting, • Basic exposure to Python or automation is a plus but not required, • Strong interest in fashion, beauty, culture, design, and media or brand partnerships, • Highly organized, reliable, and curious, with the ability to support non-technical colleagues, • New York City Office, • 10 to 15 hours per week during the semester and 15 to 20 in summer; 4 to 6 month term with option to extend mFd4C8yWym

Job Description Desktop Engineer Intern Location: New York Hourly rate: $35/hr Minimum hours/week: 25hrs (Between 7am and 5pm ET) *Must be able to start immediately The Opportunity This internship offers college students the opportunity to gain practical, hands-on experience in a professional technology environment while developing skills that translate directly to full-time roles in IT, systems, and engineering. Interns will work in an in-office setting and be treated as active contributors, not observers, gaining exposure to real operational workflows and professional standards. The role is designed to help students bridge the gap between academic learning and real-world application by building confidence, accountability, and technical curiosity. Interns will develop a stronger understanding of how technology supports a business environment while learning how to communicate effectively, prioritize tasks, and work within a structured team. Who We Are We are committed to creating a diverse environment and are proud to be an equal opportunity employer. At Group One, we value transparency and collaboration coming from unique perspectives and backgrounds. We strive to create a workplace in which all employees have an opportunity to participate and contribute to the success of the business. What We Do Group One is a proprietary trading firm specializing in market making and liquidity providing strategies in options markets. Our traders provide competitive liquidity across a broad range of securities by managing portfolios of several hundred issues and simultaneously streaming quotes across multiple exchanges. The Challenge Group One Trading is a proprietary firm with over 100 hardworking people. We are looking for responsible individuals who are able to work independently in a fast- paced collaborative team environment. The Skill Set This internship is designed for college students interested in systems, infrastructure, desktop engineering, or IT operations who want hands-on experience in a real-world trading environment. During this internship, you will be mentored by senior members of the Systems and Desktop Engineering teams and gain exposure to the business of equity options trading. You will work alongside professionals who support critical infrastructure in a fast-paced, highly available, and performance-sensitive environment. A broad, multi-platform technical foundation will help you be successful in this role, but no prior enterprise experience is required. We encourage students with both traditional and non-traditional technical backgrounds to apply. • Currently enrolled in a BS, MS, or Ph.D. program in Computer Science, Information Technology, Engineering, or a related technical field, • Coursework or hands-on experience with Windows operating systems and basic computer hardware, • Introductory understanding of networking concepts such as TCP/IP, DNS, and DHCP, • Exposure to or interest in scripting or automation (e.g., PowerShell, Python, Bash, or similar), • Interest in systems, infrastructure, desktop engineering, and enterprise IT operations, • Strong curiosity, willingness to learn, and problem-solving mindset, • Ability to communicate clearly and collaborate with teammates across technical and non-technical groups Within 1 Month, You'll • Complete your initial orientation and become familiar with our environment, infrastructure, and business, • Learn how the Systems, Desktop, and Application Support teams work together to support traders and internal users, • Begin a structured training plan covering system monitoring, user support workflows, and core infrastructure concepts, • Get introduced to basic scripting and automation concepts used to support operational tasks Within 3 Months, You'll • Assist with system monitoring and incident response under guidance, • Perform user workstation setup, software installations, and basic troubleshooting, • Build confidence diagnosing common desktop, application, and connectivity issues, • Begin writing or modifying simple scripts to assist with tasks such as system checks, data collection, or workflow automation, • Contribute to documentation and process improvements, • Collaborate with cross-functional teams supporting production trading systems The Benefits We provide a competitive hourly compensation, a environment which promotes collaboration, mentorship and continuous learning. Group One gladly sponsors qualified international candidates selected to join our team. In-person interview expenses for travel and childcare will be reimbursed by Group One. Job Posted by ApplicantPro

Job DescriptionCompany Description Veolia in North America is the top-ranked environmental company in the United States for three consecutive years, and the country’s largest private water operator and technology provider as well as hazardous waste and pollution treatment leader. It offers a full spectrum of water, waste, and energy management services, including water and wastewater treatment, commercial and hazardous waste collection and disposal, energy consulting and resource recovery. Veolia helps commercial, industrial, healthcare, higher education and municipality customers throughout North America. Headquartered in Boston, Veolia has more than 10,000 employees working at more than 350 locations across North America. Job Description Student Exploration and Experience Development (SEED) is a 12-week internship opportunity at Veolia for students to gain hands-on experience in sustainability and ecological transformation. They will work on real-world projects, receive mentorship from industry professionals, and participate in workshops and networking events. The program aims to nurture talent, promote innovation, and foster meaningful connections between students and industry professionals. Overall, the SEED program provides students with the skills, knowledge, and connections needed to make a positive impact in the industry. Program Dates: June 1, 2026 to August 21, 2026. Position Purpose: We are seeking a motivated AI Engineering intern to support the development and implementation of an AI-powered deep research agent for This role offers hands-on experience with cutting-edge large language models, cloud infrastructure, and enterprise software development. Primary Duties/Responsibilities: • Large Language Models (LLMs):, • Understanding and working with commercial/proprietary LLMs such as Gemini( Google), GPT(OpenAI) and Claude Sonnet (Anthropic)for high performance, large context, and multimodal tasks., • Familiarity with open-source/self-hosted LLMs like Llama from Meta and Mixtral from (Mistral AI)., • Design & Planning Phase:, • Requirements Gathering: Using Confluence for documentation and collaboration., • Architecture Design: Creating system diagrams and workflows with Lucidchart., • Prototyping: Designing UI/UX prototypes in Figma., • Project Management: Tracking tasks and progress in Jira., • Data Preparation & Management: Cleaning, transforming, and organizing data for use in AI/ML workflows., • Development Framework & Tools:, • Core LLM Frameworks: Using LangChain or LlamaIndex for orchestrating LLM applications., • Agent Frameworks: Building multi-agent systems with Semantic Kernel, CrewAI, and LangGraph., • Prompt Management: Managing and optimizing prompts with LangSmith., • Vector Databases & Search:, • Implementing semantic search and retrieval using Vertex AI Vector DBs, • Backend Development:, • API Framework: Developing RESTful APIs with FastAPI (Python)., • Message Queue: Integrating asynchronous communication with Apache Kafka and Redis Streams., • Frontend Development:, • Web Framework: Building user interfaces with React or Angular., • UI Components: Utilizing Material-UI for consistent, modern UI elements., • IDE: Using Google AI Studio for AI application development., • Development Tools:, • IDE: Writing and debugging code in VS Code., • AI Assistants: Leveraging GitHub Copilot and Cursor for code suggestions and productivity., • Version ControlManaging code with GitHub, or GitLab., • Code Quality: Ensuring code quality and standards with SonarQube, ESLint, and Pylint., • Model Fine-tuning & Customization:, • Fine-tuning Platforms: Using Vertex AI Tuning for model customization., • Training Frameworks: Training and experimenting with models in PyTorch, TensorFlow, or JAX., • Efficient Training: Applying parameter-efficient fine-tuning (PEFT) methods like LoRA and QLoRA., • Synthetic Data: Generating synthetic data., • Evaluation: Assessing models with HELM, lm-evaluation-harness, and custom benchmarks., • Testing Stack:, • LLM-Specific Testing: Using RAGAS, and DeepEval for LLM evaluation; LangSmith Evaluators for prompt testing; hallucination detection., • Deployment & Infrastructure:, • Containerization: Packaging applications with Docker., • Orchestration: Managing containers at scale with Kubernetes and Google GKE., • Cloud Platforms:, • Using Google Cloud Platform (GCP) services such as Vertex AI for ML, GKE for Kubernetes, Cloud Run for serverless deployment, and Cloud Functions for event-driven tasks., • LLM-Specific Monitoring:, • LLM Observability: Monitoring LLM performance and usage with LangSmith and Weights & Biases., • Cost Tracking: Monitoring and optimizing costs with OpenMeter and custom dashboards., • Quality Monitoring: Setting up continuous evaluation pipelines to ensure model quality and reliability., • Environments vary by internship function from office to field to plant., • Our aim is to provide tangible industry job experience to each intern.Qualifications Education/Experience/Background: • Working towards a PhD degree and you have in AI/ML/Computer Science., • Strong communication skills, including written, verbal, listening, presentation and facilitation skills., • Demonstrated ability to build collaborative relationships. Additional Information Pay Range: $21.00 to $25.00 per hour. Benefits: Interns are considered temporary employees. Medical and basic life insurance coverage is available to temporary employees scheduled to work 20 or more hours per week immediately following 60 days of service. Employees must elect or waive medical coverage within 45 days of their eligibility date. Veolia observes 11 holidays. We are an Equal Opportunity Employer! All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, subject to applicable law.

Job DescriptionJoin JB&B and shape the future of the built environment! Founded in 1915, Jaros, Baum & Bolles has been a pillar of engineering innovation in New York City for over a century. Specializing in mechanical, electrical, plumbing (MEP), JB&B has contributed to some of the most iconic buildings. In October 2025, JB&B joined forces with Trinity Consultants, a global consulting firm focused on the natural and built environments. JB&B now operates within Trinity’s Built Environment division, combining its deep expertise in high-performance building systems with Trinity’s strengths in acoustic design, facility operations, commissioning, and technology strategy. This strategic merger expands JB&B’s capabilities and offers employees: • Access to a broader portfolio of international projects and clients, • Enhanced career mobility across Trinity’s global network, • Interdisciplinary collaboration with experts in sustainability, environmental science, and digital infrastructureAbout the Role Summary of Position: JB&B is seeking a motivated Software Engineering Intern/Co-Op to join our Innovation team. This role will provide hands-on experience in developing and deploying custom software tools that support engineering workflows and drive digital transformation within the firm. Responsibilities: • Demonstrates and embraces JB&B core values., • Maintains a professional demeanor with clients and coworkers., • Takes charge of own development and performance by proactively seeking feedback from superiors and peers., • Assumes ownership of assigned work both internally and externally., • Communicates effectively both verbally and in writing., • Demonstrated success in collaborating in a team environment, • Demonstrates attention to detail.Qualifications:, • Pursuing a Bachelor's or Master’s degree in computer science, Engineering or a related technical field, • Technical skills in C#, JavaScript, Python, Azure web services (Cosmos/Functions/AppServices), ASP.NET, Revit/AC API, • Legacy + Innovation: Our company blends a rich history with forward-thinking design, including smart building systems and deep carbon reduction strategies., • Collaborative Culture: With over 400 professionals, our company fosters mentorship, teamwork, and continuous learning., • Global Impact: Now part of Trinity, our company offers opportunities to work on transformative projects across commercial, healthcare, aviation, life sciences, and data center sectors., • Multiple office locations: New York, Boston and Philadelphia.Estimated Compensation Range: $22 per hour. Jaros, Baum & Bolles is an equal opportunity employer. All qualified candidates will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Powered by JazzHR SCtkdVCvur

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: Mid - Senior Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: Degree in Computer Science, Engineering, Statistics, or a related technical field. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. Strong foundational understanding of algorithmic complexity and data structure optimization. Excellent problem-solving, collaboration, and communication abilities. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do To accelerate datacenter deployment and management, CoreWeave is expanding its firmware engineering team to focus on developing and maintaining OpenBMC-based firmware for our next-generation Baseboard Management Controllers (BMCs). As a Senior Firmware Engineer, you'll design, implement, and maintain embedded firmware features that enable secure, scalable, and reliable control across CoreWeave's high-performance compute infrastructure. You'll work independently on complex components, collaborate closely with cross-functional teams, and help set best practices for firmware quality and performance. Key Responsibilities • Design & Implement: Develop and enhance OpenBMC firmware in C++ for CoreWeave's custom server platforms, contributing to key subsystems such as sensor management, power and thermal control, networking, and system monitoring., • Integrate & Debug: Collaborate with hardware design, platform software, and reliability teams to integrate firmware with new hardware and validate performance across diverse environments., • Optimize: BMC Performance and Harden Security, • Root Cause Analysis: Perform deep system-level debugging using tools such as GDB, JTAG, or logic analyzers to resolve cross-layer issues between hardware, firmware, and OS., • Automate & Validate: Contribute to continuous integration and automated testing frameworks for OpenBMC build and validation., • Document & Share: Maintain clear technical documentation and participate in design reviews to ensure consistency and maintainability across the firmware codebase., • Collaborate Broadly: Partner with other ICs and technical leads across CoreWeave's infrastructure engineering, hardware design, and operations teams to align firmware capabilities with platform and datacenter goals. Who You Are Minimum Qualifications • Experience: 4+ of professional experience in firmware or embedded systems development, including direct work with Linux-based OpenBMC firmware., • Proficiency in C/C++ for embedded systems., • Hands-on experience with OpenBMC, Yocto Project, and embedded Linux environments., • Familiarity with hardware interfaces and protocols (I2C, SPI, UART, GPIO, IPMI, DMTF Redfish), • Experience with hardware bring-up, board-level debugging, and sensor integration., • Comfort with Linux kernel configuration, device trees, and BSP-level integration., • Working knowledge of source code control system such as Git, • Comfort with debugging tools such as GDB JTAG and debugging over serial or remote consoles., • Basic scripting skills in Python or Bash for build automation and validation., • Strong problem-solving and analytical thinking; able to break down complex system-level issues., • Communicates effectively with peers across hardware, firmware, and operations teams., • Self-driven with a focus on delivering high-quality, maintainable code., • Thrives in a fast-paced environment and balances multiple priorities effectively.Preferred Qualification, • Experience developing CI/CD pipeline for firmware builds and regression testing, • Exposure to large-scale datacenter or HPC environments What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionAbout Dyania Health Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs, without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria. If you like to innovate at the forefront of technology and build software that solves important real-world problems, we'd love to hear from you! At Dyania Health we are transforming the way in which machines understand and process medical information. About the Role We are seeking Senior Machine Learning / Software engineers who are passionate about their craft to help us in that mission. As a senior ML engineer at Dyania, you'll design, build, and deploy scalable ML-driven systems that power biomedical information processing. In this role, you will operate at the intersection of machine learning research and production-grade software engineering, owning the full lifecycle of ML-powered microservices — from model development and evaluation to deployment, monitoring, and continuous improvement. You will play a key technical leadership role, mentor junior engineers, and collaborate closely with product, UX, and clinical teams to translate real-world healthcare challenges into robust, scalable solutions. Key Responsibilities • Design, implement, and deploy ML-powered software components within a microservice architecture., • Lead development and productionization of NLP and transformer-based models for biomedical information processing., • Own the full ML lifecycle: data preparation, model training, evaluation, optimization, deployment, and inference at scale., • Architect scalable and maintainable ML infrastructure and services., • Collaborate cross-functionally with product, UX, and clinical stakeholders to understand requirements and rapidly prototype new capabilities., • Analyze model and system performance; communicate findings and trade-offs clearly to technical and non-technical stakeholders., • Ensure reliability, scalability, and security of ML services in production environments., • Mentor junior engineers and contribute to raising the technical bar across the team., • Contribute to architectural discussions and strategic technical decisions. Required Qualifications: • 5+ years of industry experience in machine learning-focused software engineering (excluding internships and academic projects)., • Bachelor’s or graduate degree in Computer Science, Mathematics, Electrical Engineering, or a related technical field., • Strong hands-on experience training, testing, deploying, and serving ML models in production environments., • Experience with transformer architectures and NLP applications., • Experience with multi-GPU and multi-node distributed training and inference., • Proficiency in Python., • Proficiency in Java (and/or Kotlin/Scala) or C++., • Experience designing and implementing microservices., • Professional experience with Git and collaborative development workflows., • Experience with relational databases and/or NoSQL systems (e.g., knowledge graphs)., • Strong communication skills and ability to explain technical concepts clearly. Preferred Qualifications: • Experience working with AWS or similar cloud platforms., • Experience working in agile development environments and familiarity with Jira., • Experience building ML systems in healthcare or other regulated environments., • Experience with monitoring, observability, and performance optimization in production ML systems. What Success Looks Like • You deliver production-ready ML systems that are scalable, reliable, and maintainable., • You proactively identify technical risks and propose thoughtful solutions., • You translate ambiguous biomedical problems into structured ML approaches., • You elevate the engineering team through mentorship and thoughtful technical leadership., • You effectively communicate insights and trade-offs to diverse stakeholders. Team Culture: • We try every day to maintain empathy for patients and our teammates., • We value small egos, self-awareness, and humility in our teammates., • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift., • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team., • We value open dialogue and brainstorming across multidisciplinary teams. Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Benefits • Competitive Salary, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Remote work

Job DescriptionSoftware Engineer New York, NY About Us We are a fast-growing technology company founded by alumni of leading national security and privacy-focused tech firms. Our mission is to redefine mobile connectivity by putting users in full control of their digital identity. Were building a privacy-first wireless platform that protects users most personal information while enabling them to do more—not less. Backed by top-tier investors, we are expanding our team of innovators passionate about security, resiliency, and global connectivity. The Opportunity As a Software Engineer, you will build the core systems that secure end-to-end mobile communications. Your work will directly impact how users are protected across the communications stack—from device-level safeguards to hardened network infrastructure. Youll help develop systems that detect and mitigate malicious signaling attacks, identify fake cell towers, prevent spam and smishing campaigns, and deliver transparent security protections to users. This is high-impact engineering with real-world consequences. What You'll Do * Design & Integrate: Build foundational telecommunications infrastructure that ensures secure, resilient connectivity. * Own the Lifecycle: Take end-to-end ownership of critical components—from design through deployment. * Raise the Bar: Contribute to high engineering standards through code reviews and best practices. * Enable Scale: Develop reliable, high-performance systems that empower other teams to build securely and efficiently. What Were Looking For * 4+ years of professional software engineering experience * Strong foundation in Computer Science or related technical field * Fluency in Golang, Rust, Java/Kotlin, or Python * Solid understanding of algorithms, data structures, distributed systems, and cloud infrastructure * Strong written and verbal communication skills * US Citizenship (Required) / Active U.S. security clearance or eligibility Why This Role * Mission-driven work at the intersection of privacy, security, and national resilience * Real ownership and autonomy * Fast-moving, builder-oriented culture * Backed by top-tier investors * Opportunity to shape foundational infrastructure in a critical domain

Job Description We are excited to announce our 2026 Summer Internship program! Our summer internship program runs from Tuesday, June 9th, to Tuesday, August 4th. The program is hybrid, with in-office work on Tuesdays and Wednesdays and remote work on Mondays, Thursdays, and Fridays. Hours are from 8:00 a.m. to 4:30 p.m., and we provide all necessary equipment to help you succeed in your role. As an intern, you will work on real business projects, gaining exposure to various aspects of the company and having the opportunity to make an impact. You will also connect with Delta Dental employees across different business functions, helping you expand your professional network. Throughout the eight-week program, we’ll assist with resume and LinkedIn profile development and provide you with a LinkedIn Learning license. Interns will meet weekly to share experiences and learn from our business leaders. At the end of the program, interns will have the chance to have lunch with Delta Dental’s CEO. Interns will be compensated at an hourly rate of $22.00. About Us Delta Dental of New Jersey, Inc. is New Jersey's leading dental benefits company, providing or administering coverage to more than 2.2 million people through contracts with groups and individuals in New Jersey and Connecticut. In Connecticut, Delta Dental of Connecticut, Inc. is a licensed insurer that writes dental and vision coverage on an insured basis, and Delta Dental of New Jersey administers self-funded dental benefit programs. Offering dental benefits since 1969, Delta Dental of New Jersey's mission is to promote oral health to the greatest number of people by providing accessible dental benefit programs of the highest quality, service, and value. Through its philanthropic arm, the Delta Dental of New Jersey Foundation awards more than $1M in grants annually to support access to dental care and education for underserved children, seniors, veterans, and those with special needs, as well as funds workforce development programs for dental assisting and dental hygiene across New Jersey and Connecticut. Job Summary The Full Stack Developer Intern will support the Strategic Decision Support and Data Services (SDS) organization in developing AI‑enabled micro apps and digital solutions that improve member, provider, and internal user experiences. The intern will work with Enterprise Reporting, Data Science, and Data Engineering teams to design and build modern full‑stack applications that integrate analytics, machine learning, and generative AI capabilities within a secure, compliant healthcare environment. This internship is ideal for students interested in full‑stack development, applied AI, and building real-world digital products in an enterprise setting. Essential Functions & Responsibilities • Develop and enhance full-stack web applications supporting Data Teams., • Integrate AI/ML models and generative AI services into applications via secure APIs., • Collaborate with Data Science teams to operationalize models for inference and experimentation., • Build and consume RESTful APIs and backend services in accordance with enterprise standards., • Participate in testing, debugging, documentation, and performance optimization., • Support cloud-based deployment, monitoring, and logging activities. During this internship, you will gain exposure to: • Delivering AI‑enabled applications in a healthcare insurance enterprise environment., • Responsible and ethical AI development practices., • Cross‑functional collaboration with analytics, engineering, and business teams., • Working with real-world member and provider digital use cases. Knowledge, Skills & Abilities Technical and Functional • Motivated, proactive self-starter comfortable learning new tasks and working with team guidance., • Ability to manage multiple assignments and meet deadlines in a fast-paced environment., • Strong problem-solving and organizational skills with attention to detail., • Team-oriented mindset with an interest in understanding how individual tasks contribute to broader business goals., • Clear Verbal and written communication skills, • Interest in integrating analytics, machine learning, or generative AI capabilities into applications, • Awareness of data privacy and secure development practices in regulated environments (HIPAA awareness), • Exposure to any of the following:, • Frontend: HTML, CSS, JavaScript, React (or similar frameworks), • Backend: Python and/or Node.js, • APIs: REST, JSON, microservices concepts, • AI: Model inference, prompt-based systems, generative AI APIs, • Data: SQL or NoSQL databases Experience/Education Required Required: • Enrollment in an undergraduate or graduate program in Computer Science, Software Engineering, AI, or a related field., • Exposure to AI/ML frameworks or cloud AI services. The physical demands described here are representative of those that an employee must meet to perform the essential functions of this job successfully. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. • Ability to sit and perform extensive keyboard and PC work, including data entry, • Ability to walk, talk, or hear, • Ability to meet deadlines and attendance standards., • The noise level in the work environment is usually moderate., • This classification will be required to sign a confidentiality agreement.

Job Description Join our Data Science team as an Analytics Product Engineer, where you’ll own stakeholder-facing analytics and reporting in a modern insurance data environment. This role sits at the intersection of business, data, and product. Balancing rapid response to real operational questions with the delivery of durable, high-trust analytics products. If you’re a strong BI practitioner who enjoys close stakeholder partnership, takes pride in data integrity, and knows how to ship insights, not just queries, this role is for you. What You’ll Do • Serve as a trusted analytics partner to business stakeholders, translating ambiguous questions into pragmatic, timely insights while exercising sound judgment about when prototypes should evolve into durable, decision-ready reporting., • Build analytics on a modern data stack, developing curated datasets in Snowflake and delivering high-impact BI through Power BI. Ensuring insights are fully traceable from source to dashboard., • Own analytics products end to end, from design through delivery, ensuring dashboards and reports are intuitive, reconciled, well-documented, and trusted in high-visibility operational and strategic decisions. What We’re Looking For • Insurance or Financial Services Experience. A solid understanding of insurance business concepts and how they translate into reliable, decision-ready analytics and reporting., • Snowflake & Power BI Expertise (Required). Hands-on experience building analytics solutions on Snowflake. Deep experience delivering polished, stakeholder-facing dashboards in Power BI. Microsoft PL-300 (Power BI Data Analyst) certification required or equivalent demonstrated mastery of Power BI semantic modeling, DAX, and performance best practices., • Analytics Engineering & Judgment. Proficiency in SQL and Python within modern analytics environments, paired with strong judgment around when to move quickly versus when deeper validation is required., • Comfort with Ambiguity & Clear Communication. Ability to operate in imperfect data environments and clearly communicate assumptions, limitations, and tradeoffs to both technical and non-technical audiences. Nice to Have • Exposure to Databricks for ad-hoc analytics or analytics engineering workloads, including familiarity with Delta Lake concepts; Databricks Data Analyst Associate certification or equivalent experience is a plus, • Prior ownership of a reporting or analytics domain within insurance or financial services, • Background outside of data or analytics after transitioning into the field Experience Level Mid-level (approximately 4–6 years in Analytics, BI, or Data roles). We value candidates who bring real-world perspective and judgment, not just technical skill. Location & Work Model • This role is based in Iselin, NJ and requires regular in-person presence., • Candidates should expect to work on-site as part of a highly collaborative Data Science and business partnership environment. Additional Information: Full benefit package including medical, dental, life, vision, company paid short/long term disability, 401(k), tuition assistance and more. #LI-Onsite The anticipated salary for this position is $115,000 – $145,000 per year, based on qualifications and experience. Fortegra is not accepting unsolicited resumes from search firms for this position. Recruitment Updates Fortegra has recently been made aware of unauthorized communications regarding career opportunities by individuals not associated with Fortegra or our recruitment team. Fortegra will only contact you from the Fortegra domain address (@fortegra.com). If you receive a message from someone posing as a Fortegra recruiter via text message, WhatsApp, Telegram or other messaging platform, please report it as phishing and block the sender.

Job Description The Role Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales - from molecules to organisms - enabling us to predict, understand, and program living systems in ways never before possible. Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator. As a Machine Learning Engineer, you'll work alongside our founders and team members to develop and implement cutting-edge AI systems capable of complex biological reasoning across multiple scales. * You will build foundational models for biology capable of reading and writing biology at scale * You will develop deep generative models for biological applications, exploring innovative architectures to capture the complexities of multi-scale biological systems * You will work on distributed training systems to scale our models to billions of parameters, optimizing for performance and efficiency across multi-GPU and multi-node setups while handling large-scale biological datasets * You will engineer efficient data pipelines to manage and process massive biological datasets, addressing challenges in data loading, splitting, and memory optimization * You will develop and implement robust evaluation frameworks for complex biological models, ensuring data integrity and preventing leakage across dataset splits Who We're Looking For: * You have a Bachelor's in Computer Science, Machine Learning, or a related technical field * You have 3+ years of experience in developing and implementing deep generative learning models * You have experience pre-training models and are proficient in distributed computing environments * You are proficient in Python and have expertise in at least one major deep learning framework (PyTorch, TensorFlow, or JAX) * You have experience with deep learning and generative architectures such as transformers, diffusion models and autoencoders * You are skilled in working with terra-scale datasets and scaling models to billions of parameters * You have a strong understanding of machine learning fundamentals, including various model architectures, optimization techniques, and evaluation metrics * You have experience in designing and implementing efficient data pipelines for processing and managing large datasets * You are experienced in developing robust evaluation frameworks and ensuring data integrity in machine learning projects * You are experienced in code organization, version control, and collaborative software development practices. Who You Are: * You have excellent problem-solving skills and the ability to quickly adapt to new challenges * You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and pride in solving them * You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty * You have excellent communication skills and can clearly articulate complex technical concepts * You are motivated by making a real impact and are committed to tackling problems of significant consequence with determination and creativity Bonus points * You have experience applying machine learning to biology or chemistry * You have contributed to open-source machine learning projects or published research papers in the field of AI/ML * You have experience optimizing machine learning models for high-performance computing environments * You are familiar with ML-Ops practices and tools for managing ML experiments and deployments Our Values ❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions. 🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards. 🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community. 📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner. 🎮 Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling. What We Offer * We encourage new and different ideas, creativity and contrarian thinking * Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you * You own your day-to-day management. What we care about is that we all hit our milestones * Competitive salary and equity in a growing, well-funded startup * Excellent medical, dental, and vision coverage Compensation Range: $110K - $250K

Job DescriptionSamba TV tracks streaming and broadcast video across the world with our proprietary data and technology. We are on a mission to fundamentally transform the viewing experience for everyone. Our data enables media companies to connect with audiences for new shows and movies, and enables advertisers to engage viewers and measure reach across all their devices. We have an amazing story with a unique perspective on culture formed by a global footprint of data and AI-driven insights. We're looking for a Measurement Operations Manager to lead the back-end operations engine of our Measurement Science organization. You will own two high-performing vertical teams: Measurement Analysts — a squad of data analysts executing custom queries to answer measurement, insights, and marketing questions — and Measurement Operations, responsible for pixel tagging, QC, implementation, and study tracking. This is a role for someone who geeks out on operational excellence. You bring structure to ambiguity, velocity to delivery, and rigor to quality — all while building a team culture where high performers thrive and accountability is embedded in the DNA.WHAT YOU'LL DO • Lead and manage two sub-teams: Measurement Analysts and Measurement Operations, spanning offshore and contract resources across time zones., • Design and optimize end-to-end operational workflows for data query execution, pixel implementation, and study delivery using frameworks like Six Sigma, Agile, and Scrum — applying the right methodology for each challenge., • Own quality control standards across all measurement deliverables, including discrepancy reporting, pixel tagging best practices, and troubleshooting., • Drive capacity planning, sprint prioritization, and workload distribution across both teams using JIRA., • Partner with Measurement Science leadership to reduce study delivery timelines and scale operational throughput in support of global expansion., • Develop and maintain SQL/Python/Databricks-based operational workflows and data pipelines to support scalable, repeatable measurement execution., • Build a meritocratic team culture: mentor high potentials, recognize top performers, and coach opportunity areas with speed and candor., • Report on team utilization, delivery velocity, and quality metrics to senior leadership.WHO YOU ARE, • 5+ years of experience in data or measurement operations, with deep fluency in operational frameworks (Six Sigma, Agile, Scrum). You know which tool to pull out and when., • Proven experience managing offshore and/or contract teams — you understand how to build accountability and culture without geographic proximity., • Hands-on experience with SQL, Python, Databricks, BigQuery, and AWS. You can get into the data layer yourself when needed and set the bar for your team., • Working knowledge of ad measurement pixels, discrepancy root-cause analysis, and tagging best practices across DSPs and measurement platforms., • Comfortable running sprints, managing backlogs, and reporting on team throughput at scale.JIRA power user:, • You build teams that want to perform. You give feedback early and often, celebrate wins loudly, and course-correct quickly and constructively.Systems and Technical Environment, • Project & Workflow Management: JIRA, • Data Infrastructure: BigQuery, AWS, Databricks, • Languages: SQL, Python, • Measurement Ops: Pixel implementation, discrepancy reporting, tagging QA and troubleshootingPreferred Qualifications, • Experience in advertising measurement, media analytics, or marketing data operations., • Background working within or alongside a global, distributed team structure., • Familiarity with cross-platform measurement concepts (TV, digital, audio, CTV).

Job DescriptionVoleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. As a Staff Software Engineer on our Trading Platforms Engineering team, you will be developing the company's production trading systems and the data pipelines that drive our machine learning in both production and research. You will be expected to work closely with both our finance and research teams to contribute to a platform that supports a diverse set of requirements and complex trading behaviors. Your Team We look for brilliant people with a passion for solving problems through innovation and engineering fundamentals. You’ll work in a collaborative environment that encourages creative thinking and efficient implementation. We embrace experimentation. You’ll work alongside experienced engineers recruited from leading technology companies and universities. You and your team will collaborate closely with top machine learning researchers. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.Responsibilities • Design real-time distributed trading systems that place orders across a global set of markets and asset classes (Go / C++), • Build and optimize large-scale data infrastructure and stream processing systems for historical and real-time machine learning feature pipelines (Python/Airflow/Go/beam), • Own observability and remediation tooling used to analyze trading performance and risk (Go / Python / React), • Integrate with new assets and markets and drive clarity on the resulting requirements, • Improve the resilience and performance of our trading systems, • Develop tooling to integrate data from diverse vendors, unifying symbol mappings for data consistency, • Lead company spanning complex projects. Collaborate across research, legal, trading, finance operations data, and infra teams to deliver end-to-end trading systems, • Mentor and develop other engineers on the team, and share your practices and knowledge with the team and companyRequirements, • Computer Science Degree or equivalent experience, • 7+ years of software engineering experience building high-performance systems, • Experience operating and scaling mission-critical, large-scale production systems in languages such as Python, Go and C++, • Excellent communication and project management skills in complex technical domains, • Track record mentoring engineers and leading technical directionPreferred Qualifications, • Expertise in building and optimizing data pipelines (e.g., Apache Airflow, Spark, Kafka), • Experience with profiling and performance optimizations on distributed systems. (Go / C++)

Job Description MONTICELLOAM, LLC and its affiliates ("Monticello") is a real estate and asset-based lender providing asset management and comprehensive capital solutions for healthcare, multifamily, and commercial real estate assets throughout the US. Monticello is seeking team players who can work in a collaborative environment and possess drive, integrity, creativity, compassion, and a strong work ethic. We are seeking a talented Analytics Engineer to join our dynamic team, focusing on optimizing our asset management operations and business intelligence capabilities. This role combines technical data engineering expertise with analytical science skills to drive data-informed decision-making across our portfolio. The Analytics Engineer's primary responsibilities are: • Build automated reporting systems and interactive dashboards for portfolio monitoring, including custom analyses for executive leadership, asset management, and origination, • Implement machine learning (AI) models for asset valuation, market analysis, and investment opportunity screening, • Build and optimize Snowflake databases and queries to support real-time business intelligence needs, • Design and implement quality assurance processes for data extraction, transformation, and analysis workflows, • Design and maintain scalable data pipelines in Nexla and Python to integrate property management systems, financial databases, and market data feeds into our Snowflake data warehouse, • Develop and implement OCR/NLP models to extract, validate, and classify key information from loan agreements, property reports, and other financial documents, • Create predictive models to identify asset performance trends, risks, and opportunities across the real estate portfolio, with a focus on occupancy rates and NOI metrics, • Design and optimize ETL processes to ensure data quality and consistency, with robust monitoring and alert systems Qualifications • Bachelor's or Master's Degree in Computer Science, Data Science, or related field with 3-7 years of experience; additional experience may be considered in lieu of degree, • Expert-level Python programming with strong proficiency in data science libraries (pandas, numpy, scikit-learn) and ML frameworks (TensorFlow, PyTorch), • Experience building and optimizing ETL pipelines using modern data platforms (experience with Nexla preferred) and working with Snowflake or similar cloud data warehouses, • Demonstrated experience with large language models (LLMs), prompt engineering, and NLP frameworks (e.g., Hugging Face Transformers) for document processing and information extraction, • Proficiency in data preprocessing, cleaning, and transformation techniques for both structured and unstructured data sources, • Experience with supervised and unsupervised learning algorithms, model evaluation metrics, and ML deployment in production environments, • Advanced SQL expertise, particularly with Snowflake, including optimization and security best practices Monticello offers a competitive base salary and bonus. The base salary range for this position is $110,000-$140,000/year. The specific compensation that will be offered is based on an understanding of the hired candidates' qualifications at the time of hire. Employees are eligible for a discretionary bonus based on employee work performance reviewed during the annual review process.

Job DescriptionSalary: Senior Elixir Engineer at Vic.ai Remote Location: Remote This is a fully remote position, full-time, with flexible working hours and work arrangements. About Vic.ai Vic.aiis creating the Intelligent Accounting era, using artificial intelligence to automate accounting and provide advisory, business insight, and eventually businessforesight. Were a Series A stage start-up, founded by three Norwegian entrepreneurs and backed by renowned Silicon Valley investors (including Costanoa Ventures, Cowboy Ventures, and GGV Capital). Were US-based, but our team is global, from New Zealand to California. Were bringing AI to Finance and Accounting because the industry is ripe for automation and big-data insight and the market ishuge: $200B just in the US. Our main office locations is in New York. We have a well established remote-work culture, and over 50% of our team are working fully remote. We have a solid team of very experienced, yet humble, Elixir engineers, will you be our next team member? About you Youve been a software engineer for 5+ years, but youve been a tinkerer and a builder your whole life. Were a team of builderswhen we arent building Vic.ai, were tinkering with a personal project, contributing to open source, modding a drone, building a computer from components, etc. Were looking for an experienced developer who enjoys working with server-side technologies. You possess a good mixture of DevOps and application development skills and would like to build innovative solutions with experienced teammates in a flexible environment. You should have plenty of experience in building performant, easy to use, well-monitored, and well tested APIs, designing efficient data flows, communicating clearly, sharing knowledge, and questioning existing solutions. Youre ready for the next step in your career, ready to take on fast-moving challenges. Youre enthusiastic about AI and the possibilities it opens for software development and transforming traditional work. You aim at reaching greatness and delivering exceptional outcomes in your work. As a team player, you are not afraid of reaching out to your colleagues to discuss development challenges, especially when you are stuck trying to solve a specific issue. You are fluent in English. Job Requirements • Advanced Elixir programming experience is a must, • Solid understanding of working in Linux shells, • Ability to spin up servers, setting them up and make them available for application deploys, • Having great understanding of the value of automated tests, and ability to implement them across the whole stack, • Designing efficient deploy flows and continuous integration, • Solid knowledge of key-value stores, SQL, and relational databases; preferably PostgreSQL, • Ability to implement and maintain robust concurrent background job systems, having a grasp of concurrency patterns and message queues, • Fluent English, spoken and written, clear and effective daily communication with the team What youll do • Build and deploy high-uptime products and infrastructure as part of the Vic.ai platform, • Integrate Elixir systems with non-uptime-critical systems in Python, • Design and establish validation, testing, correctness, and resilience best practices across teams, • Ship products and services as part of a small, collaborative team, • Help establish engineering process, tools, and systems that will allow us to scale the code base, productivity, and the team Who we're looking for: • BS (or higher) in Computer Science or a related technical field, or equivalent technical experience, • 5+ years of relevant work experience, • Professional experience with Elixir programming language, • Track record of shipping high-quality products and features, • Ability to turn business needs into engineering solutions As an early employee, you'll be working with a small team of committed and talented engineers and having a large, long-term impact on technical design and engineering culture. We Offer We're not just fully remote, we also offer Competitive salary Generous vacation time, family and travel-friendly environment Work alongside an enthusiastic, collegial, and driven team in a highly meritocratic environment Above all, you should enjoy the journey. Our engineers are creative, technical, smart, and genuinely like each other. They enjoy the work they do, and so should you!

Job DescriptionAbout Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on . About The Job Mistral AI is seeking an Applied AI Engineer focused on DevOps to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. Applied AI Engineers, ML Infra at Mistral AI work directly with customers to quickly understand their greatest challenges and design and implement AI solutions. In this role, you’ll apply your problem-solving ability, creativity, and technical skills to help organizations use AI to drive real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the most important industries and institutions globally! Applied AI Engineers, ML Infra responsibilities look similar to those of a startup CTO: you’ll work in small teams and own end-to-end execution of high-stakes projects. A day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing a strategy for the Applied Engineering team. What you will do • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager• Familiarity with AI frameworks such as PyTorch or TensorFlow• Contributions to open-source projects, particularly in the space of DevOps or AI Benefits \uD83D\uDCB0 Competitive salary and bonus structure \uD83D\uDE80 Generous Equity\uD83E\uDDD1️‍⚕️ Health : Competitive Healthcare program \uD83D\uDC74\uD83C\uDFFB Pension : 401K (6% matching)\uD83C\uDFDD️ PTO : 18 days \uD83D\uDE97 Transportation: Reimburse office parking charges, or $120/month for public transport\uD83E\uDD1D Coaching: we offer Betterup coaching on a voluntary basis\uD83C\uDFC0 Sport: $120/month reimbursement for gym membership\uD83E\uDD55 Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger)\uD83C\uDF0E Visa sponsorship