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AI Engineer 1. Organization Overview (Concise & Neutral) A fast‑growing oncology‑focused organization is reinventing how clinical trials operate by integrating them tightly with real‑world clinical practice. Cross‑disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human‑in‑the‑Loop (HITL) model to deliver regulatory‑grade outcomes that expand trial access and accelerate cancer drug development. What’s Different • Clinical trials are embedded within clinical practice—not run in parallel., • Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations., • Strong commitment to rigorous testing, validation, privacy, and ethical AI., • Mission‑driven culture with high collaboration and urgency. Why Join Now • AI is essential to scaling the business—impact is immediate and visible., • Opportunity to build an end‑to‑end applied AI stack powering clinical teams., • Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2. Role Overview — AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas • LLM development and LLM‑Ops for text extraction and structuring; some CV/multimodal., • Rapid prototyping with high software‑engineering hygiene., • Statistical validation plans, experiment design, and metrics ownership., • HITL workflow development to reduce manual QA and improve throughput., • Collaboration with Platform Engineering for production alignment., • Comprehensive documentation: datasets, experiments, model cards, QA audits., • Build AI models and pipelines across EMR/EHR, imaging, and clinical documents., • Translate ambiguous clinical requirements into measurable ML objectives., • Define metrics, design experiments, and estimate/model error., • Lead interim QA audit processes and evolve toward AI‑assisted QA., • Partner with data/platform engineers on scalability, data flow, and observability., • Deliver validated AI components for abstraction and note generation., • Meaningfully reduce manual QA workload through HITL optimization., • Standardize testing and documentation frameworks., • Establish efficient PySpark/SQL/Postgres data‑manipulation patterns that accelerate iteration. 3. Product & AI Context In‑Flight Work • LLM‑powered abstraction and clinical note generation with HITL., • Drive productivity gains for internal labeling/abstraction teams., • Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4. Ideal Candidate Profile Background • MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience., • 2–5+ years in AI/ML engineering or applied data science., • Expert‑level Python + strong software engineering practices., • Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV)., • Data engineering: PySpark, SQL, Postgres, data modeling, query tuning., • Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP)., • Experiment design, statistical validation, and error analysis., • Additional languages: R, Java, C++., • MLOps fundamentals (versioning, lineage, CI/CD)., • Prior oncology or clinical trials exposure.

Who Are We? HoYoverse is committed to providing immersive virtual world experiences to players around the world. We have brought fans popular games including Genshin Impact, Honkai: Star Rail, Honkai Impact 3rd, Tears of Themis, and Zenless Zone Zero, as well as a wide range of entertainment content. Community is at the heart of everything we do. We are devoted to engaging fans and fostering an enthusiastic and inclusive global community that provides access and encouragement for people to share their passion for ACG (Animation, Comics, and Games) through their own creativity and skills. Pushing the boundaries of imagination, we consistently explore cutting-edge game development technologies, and have accumulated leading technical capabilities in cel shading, cloud gaming, and other fields. In the future, we will continue to expand our content production, technology research, and publishing duties through operations in offices in Singapore, Montreal, Los Angeles, Tokyo, Seoul, and other areas. When you apply to a position with HoYoverse, we will process your personal data. To learn more about how we process your data, we encourage you to review our comprehensive ___. This policy provides detailed insights into how your information is collected, used, and protected throughout the application process. What You Will Do: • Conduct original research and develop deep distributed reinforcement learning (RL) training systems tailored for the complex gameplay features of Varsapura., • Collaborate with cross-functional teams to understand the requirements of gameplay features and ensure machine learning algorithms are effectively integrated into the design., • Take ownership of research project roadmaps, collaborating with engineers to iterate on feature requirements and managing risk for production deployment and maintenance., • Explore and implement advanced techniques in asset processing to ensure high-quality and optimized assets for the game development cycle., • Stay up to date with the latest advancements in machine learning, computer vision, and data compression, applying these technologies to improve the overall gaming experience. What We Are Looking For: • MS or PhD degree in Computer Science, Statistics, or a related field, or 8+ years of equivalent high-level research experience., • Strong background in applied machine learning with an expertise on reinforcement learning algorithms, • Hands-on experience designing and developing reinforcement learning tasks from end to end; project experience involving 3D environments, complex action space and spatial reasoning is a strong plus., • Proficiency in programming languages such as Python and C++, and expertise with deep learning frameworks such as PyTorch or TensorFlow., • Experience working in game development with a strong understanding of gameplay systems, and real-time constraints., • Familiarity with distributed training on cloud platforms such as AWS or GCP, including experience debugging performance and managing large-scale experiments., • Solid knowledge of asset processing pipelines, including 3D modeling, texturing, and animation., • Strong problem-solving skills and the ability to work effectively in a collaborative team environment., • Record of publications or contributions to the machine learning and computer vision communities. Benefits: The base pay range for this position is $180,000 to $300,000 USD per year. Actual pay is based on location and may vary depending on relevant knowledge, skills, and experience from the candidate. Total compensation may include salary, company bonuses, sign-on bonuses, relocation package, and other benefits such as: • 100% employer-paid healthcare premiums for you and your dependents, • Generous paid time off, • 401K / RRSP plan, • Employer-paid life and disability insurance, • Team-building activities throughout the year

Location Our Senior Cloud Architect, ML/AI will be an integral part of our global Forward Deployment Engineering team. This role is based remotely in the US, Colombia, Mexico, Canada, the UK, Ireland, Estonia, Sweden, the Netherlands, and Israel. The job is also open to contractors in Eastern Europe or Portugal. About DoiT DoiT is a global technology company that works with cloud-driven organizations to leverage public cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state—from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. The Opportunity As a Senior Cloud Architect, ML/AI, you will be part of our global Forward Deployed Engineering organization, working with rapidly growing companies in EMEA and around the world. Depending on business needs, this role may be aligned to either Field Engineering (pre-sales + GTM) or FDE Delivery (install base, product adoption, customer health), with a common technical bar and shared expectations. You will: • Lead the design and implementation of production-grade ML and Generative AI solutions on AWS (with awareness of multi-cloud environments)., • Act as a hands-on expert and trusted advisor for customers running AI/ML workloads at scale, from initial discovery through deployment and optimization., • Translate complex business problems into cloud architectures that are secure, reliable, cost-efficient, and observable., • Help evolve how DoiT uses AI/ML internally and with customers by turning one-off solutions into reusable patterns and “gravel roads” that influence the product roadmap. For Field Engineering, you will focus more on pre-sales, POVs, CloudBuild engagements, and partner-led growth motions. For Delivery, you will focus more on install base health, product adoption, proactive engagements, and account-team work. • Lead discovery, architecture, and implementation for advanced ML and Generative AI workloads on AWS, including data, training, inference, and integration layers., • Own the technical success of your engagements: clearly define outcomes, make tradeoffs visible, and ensure designs are production-ready (security, reliability, performance, cost)., • Provide opinionated guidance on GenAI architectures (e.g., Amazon Bedrock, SageMaker, Q) and how they integrate with customers’ existing systems and processes. For Field Engineering: • Partner with Account Executives, Solution Engineers, and Growth FDEs to shape and win opportunities across all four GTM pillars in-region (product adoption, new logo acquisition, install base expansion, partner-led growth)., • Serve as technical lead for extended POVs and CloudBuild engagements focused on AI/ML and GenAI, demonstrating clear value and de-risking customer adoption., • Build compelling technical narratives and demos that support revenue-generating motions, including co-sell initiatives with CSP partners. For Delivery: • Act as a named technical advisor for a portfolio of existing customers, working within account teams (Account Manager, CSM, FDE) to improve install base health and outcomes for AI/ML and GenAI workloads., • Lead proactive “Get FDE”–style engagements where AI/ML expertise is needed to unblock customers, reduce risk, or improve the impact of DoiT Cloud Intelligence., • Participate in structured account-team routines (e.g., objective setting, quarterly environment reviews) to keep AI/ML architectures aligned with customer goals and product adoption opportunities., • Recommend and implement AI/ML-related capabilities in DoiT Cloud Intelligence (e.g., CloudFlow, Insights, DataHub) as part of your customer engagements., • Document and measure the business and technical impact of your work, tying AI/ML initiatives to clear customer outcomes (cost, performance, reliability, productivity). For Field Engineering: • Design and run service-led product adoption plays that use AI/ML and GenAI projects to drive deeper adoption of DoiT’s platforms, in partnership with Growth leadership., • Ensure AI/ML-focused CloudBuild and POV engagements include mandatory product adoption playbooks, with clear activation and follow-up criteria. For Delivery: • Execute against delivery programs and automations that detect product struggles (e.g., customers failing to complete AI/ML workflows, incomplete CloudFlow pipelines) and turn those into targeted AI/ML advisory engagements., • Use every relevant delivery touchpoint to recommend and operationalize product adoption (e.g., Insights, automation, FinOps/CloudOps workflows) in collaboration with account teams., • Maintain a high personal bar for delivery quality: clear scopes, realistic plans, strong communication, and crisp technical documentation., • Capture repeatable AI/ML patterns, reference architectures, and runbooks that other engineers can apply across customers. For Field Engineering: • Identify and validate “gravel road” solutions—custom AI/ML or GenAI integrations and patterns that should be elevated into standard offerings or product features., • Work with Product, R&D, and growth leaders to submit and champion these patterns into the roadmap, connecting field innovation to scalable packages and revenue engines. For Delivery: • Contribute to the FDE Delivery vision by turning recurring AI/ML implementation work into structured “gravel roads” (e.g., reusable CloudFlow patterns, Insights definitions, data pipelines) that can be productized., • Collaborate with FDE advocates and product teams to ensure field-built AI/ML solutions are vetted, documented, and, when appropriate, handed off for productization., • Collaborate closely with Sales, Customer Success, Product, and Business Systems Engineering to ensure AI/ML work is visible, repeatable, and connected to company priorities., • Communicate clearly with both technical and non-technical stakeholders, setting expectations and making risks and tradeoffs explicit. For Field Engineering: • Work with cloud partner teams (especially AWS) to align AI/ML initiatives to program funding, strategic bets, and co-sell motions—without compromising customer outcomes., • Provide technical leadership for partner-led opportunities involving GenAI and ML on AWS, ensuring DoiT’s value and DoiT Cloud Intelligence are central to the solution. For Delivery: • Coordinate with Account Managers, CSMs, TAMs, and other FDEs to ensure AI/ML engagements are sequenced correctly within broader account plans and install-base priorities., • Feed structured, field-derived feedback on product adoption barriers (especially for AI/ML capabilities) into Delivery leadership and product teams., • Use and maintain the systems, templates, and workflows that support planning, observability, and quality across Customer Experience (e.g., JIRA, documentation standards, dashboards)., • Contribute to internal enablement: teach other Doers about new AI/ML capabilities, share patterns, and help raise the bar globally for ML/AI expertise. For Field Engineering: • Ensure your AI/ML work is accurately reflected in pipelines, opportunities, and CloudBuild portfolios, enabling reliable reporting on technical win rates and influence on ARR., • Help improve forecast quality and POV coverage for AI/ML-related opportunities by maintaining good hygiene in the relevant systems. For Delivery: • Ensure AI/ML delivery engagements are logged, measured, and observable in the tools used for install-base health and product adoption tracking., • Participate in Delivery operating rhythms (e.g., team reviews, program updates) with clear, data-backed updates on your AI/ML work and impact., • Success metrics and specific objectives for this role will be defined and updated on an annual and quarterly basis through the company planning cycle, pod charters, Weekly Operating Review (WOR) scorecards, and relevant regional/functional scorecards., • As a Senior Cloud Architect, you are expected to:, • Understand the metrics and objectives that apply to your function (Field Engineering or FDE Delivery) and region., • Transparently report progress against those metrics., • Proactively propose and execute corrective actions when off track., • Experience, • 4+ years of experience architecting, deploying, and managing cloud-based AI/ML solutions, including production workloads., • Proven track record designing and operating large, distributed systems on AWS, selecting appropriate services and patterns to meet business and technical goals., • AWS & GenAI / ML Expertise, • Advanced proficiency with AWS services relevant to AI/ML and GenAI., • Hands-on experience with Amazon Bedrock for deploying and scaling foundation models and Generative AI workloads., • Experience fine-tuning and deploying Large Language Models (LLMs) and multimodal AI using Amazon SageMaker (including JumpStart)., • Strong prompt engineering skills and familiarity with rigorous model evaluation (quality, safety, performance)., • Understanding of agentic capabilities and patterns for AI agents that autonomously perform tasks and integrate with existing systems., • Experience with Amazon Q Business and Amazon Q Developer (or similar tools) to accelerate insight generation and development workflows., • ML Pipelines, Data & MLOps, • In-depth knowledge of Amazon SageMaker components such as Pipelines, Model Monitor, Data Wrangler, and SageMaker Clarify for bias detection and interpretability., • Proficiency integrating TensorFlow, PyTorch, and other ML frameworks with SageMaker for model development, fine-tuning, and deployment., • Experience with distributed training (multi-GPU or multi-node) and performance optimization for inference., • Strong data-engineering skills on AWS: Amazon S3, AWS Glue, Lake Formation, Redshift for AI/ML data pipelines., • Experience building end-to-end AI/ML workflows using services like AWS Lambda, Step Functions, API Gateway, and containerized deployments on Amazon EKS / AWS Fargate., • DevOps, MLOps, Governance & Security, • Hands-on experience with CI/CD for AI/ML using AWS CodePipeline, CodeBuild, SageMaker Pipelines, or similar., • Proficiency in monitoring and operating AI systems using Amazon CloudWatch and SageMaker Model Monitor., • Strong understanding of AI governance, security, and compliance on AWS, including IAM, KMS, and data privacy patterns., • Familiarity with AI ethics and bias detection/mitigation (e.g., using SageMaker Clarify or similar tools)., • Multi-Cloud Awareness & Collaboration, • Working knowledge of Google Cloud AI tools (e.g., Vertex AI, Cloud AutoML, BigQuery ML) sufficient to reason about multi-cloud architectures and integration points., • Proven ability to mentor peers, run enablement sessions, and collaborate across Sales, CS, and Product., • Soft Skills, • Excellent communication skills across technical and business audiences; able to simplify complex ideas and influence decisions., • Natural ownership mentality: you escalate early, resolve fast, and own the outcome., • Demonstrated ability to work effectively in a remote-first, global environment., • Education & Certifications, • BA/BS degree in Computer Science, Mathematics, or a related technical field, or equivalent practical experience., • Additional data or AI certifications (e.g., AWS/GCP data certifications, reputable AI/ML programs such as Stanford, Coursera, Udacity, MIT, eCornell)., • Expanded AI/ML & Dev Experience, • Experience with modern RLHF, advanced fine-tuning techniques, and hybrid AI architectures., • Familiarity with Hugging Face or similar open-source ecosystems integrated with AWS., • Prior experience as a ML Engineer, Data Scientist, or AI-focused Architect in a consulting or SaaS environment., • Tooling & Process, • Experience with JIRA or similar tools for tracking work across delivery and product-feedback cycles., • Exposure to Agile practices and frameworks commonly used for SaaS and cloud delivery. Are you a Do’er? Be your truest self. Work on your terms. Make a difference. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our ___. Sounds too good to be true? Check out our___. We thought so too, but we’re here and happy we hit that ‘apply’ button. Full-time employee benefits include: • Unlimited Vacation, • Flexible Working Options, • Health Insurance, • Parental Leave, • Employee Stock Option Plan, • Home Office Allowance, • Professional Development Stipend, • Peer Recognition Program Many Do’ers, One Team DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success. #LI-Remote

Apiphany is a pioneering foundational AI company for physical product development. We empower global innovators in automotive, aerospace, medtech, and energy to transform mountains of unstructured technical data into real-time, actionable insights. Backed by world-class investors from Markforged, Databricks, GM, and Character, our mission is to revolutionize how engineering decisions are made, turning complexity into clarity for the world’s top manufacturers. Our models are built for the complexities of engineering and manufacturing. Our models understand physics principles, design specifications, and program constraints. We’re a small, elite team of builders from Stanford, Berkeley, MIT, UW, and CMU, alongside industry leaders from GM, Ford, and Genesis Therapeutics. We’re passionate about transforming hard-tech and building a category-defining company together. * Develop AI-powered manufacturing applications: Build full-stack solutions that integrate real-time AI (Artificial Intelligence) models for predictive maintenance, anomaly detection, defect classification, and process optimization. * Engineer for complexity and scale: Design and implement robust, distributed systems that handle large-scale data pipelines, streaming industrial sensor data, and real-time AI inference. * Integrate with factory-floor systems: Work with Industrial Internet of Thing (IIoT), Manufacturing Execution System (MES), Supervisory Control and Data Acquisition (SCADA), Programmable Logic Controls (PLCs), and edge computing to deploy AI models that interact with manufacturing processes in real time. * Bridge AI and human decision-making: Develop intuitive, high-performance interfaces that allow operators, engineers, and managers to interpret AI-driven insights and take action. * Own the full-stack: Build and optimize front-end applications (React, TypeScript, etc.) and backend services (Python, Node.js, or similar), ensuring seamless end-to-end experiences. * Ship in real-world production environments: Deploy software that runs in factories, on edge devices, or in the cloud, working within the constraints of industrial infrastructure. * Iterate quickly in a high-uncertainty domain: Prototype, test, and refine solutions based on direct user feedback and real-world performance data. Bachelor’s degree in computer science, information technology, software engineering, or a related field. One year of experience as a Software Engineer or Developer or related that includes the following: * 0-to-1 product development in building and shipping software from conception, navigating uncertainty and scaling from Minimum Viable Product (MVP) to production. * Full-stack engineering, including front-end frameworks (React, TypeScript, or similar) and backend development (Python, Node.js, or similar). * Industrial automation, predictive maintenance, process optimization, quality control, or smart factory technologies. * AI/ML deployment, including integrating ML models into production applications using tools such as TensorFlow, PyTorch, or ONNX. * Working with industrial data, including time-series sensor data, machine telemetry, and real-time control systems. * Cloud and edge computing, including deploying applications on AWS, GCP, or Azure, and running AI models on edge devices. Salary: $136,000 – $160,000/year

Role: ML/AI Engineers (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. What You’ll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. 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

About Otto Aerospace OTTO is developing the world’s first fifth-generation business jet, designed for sustainability through the innovative use of advanced super-laminar aerodynamics and high-precision, net-shaped composites. Flight tests of our technology demonstrator validate a dramatic reduction in fuel burn and allow a sizeable improvement in cabin comfort. Otto Aerospace is designing world-class aircraft from first principles physics and delivering ground-breaking aircraft and economic performance. About the Role Otto Aviation is seeking a dynamic and technically proficient Machine Learning Engineer with software developer experience to join its AI Design and Innovation Lab. In this role, you will contribute to designing and deploying scalable AI/ML solutions, developing efficient infrastructure, and collaborating with teams to address complex problems across various business functions. You will play a critical role in advancing Otto's AI initiatives by building production-grade machine learning systems, optimizing model performance, and supporting innovation in next-generation technologies. What You'll Do • Design and Develop AI/ML Solutions, • Develop and implement models for advanced use cases, such as natural language processing, classification, and recommendation systems, • Apply state-of-the-art machine learning techniques, including large language models (LLMs), generative AI, focusing on performance optimization and scalability, • Optimize Infrastructure and Pipelines, • Design scalable training pipelines and inference systems to handle large-scale data processing, • Develop and optimize data storage and retrieval systems, such as vector databases, to ensure fast and reliable performance, • Software Development and Integration, • Collaborate with the AI Lab and cross‑functional teams to integrate machine learning models into existing systems while contributing to end‑to‑end platforms that combine AI capabilities with intuitive user experiences, • Implement best practices in DevOps, including CI/CD, containerization, and cloud deployment, • Monitor and Improve Model Performance, • Build monitoring tools and evaluation frameworks to track machine learning models in production, ensuring sustained quality, accuracy, compliance, performance, and scalability, • Collaborate with teams to troubleshoot and resolve performance issues, optimizing for latency and efficiency, • Contribute to Innovation, • Support the development of AI-driven automation tools and decision-making systems, • Participate in exploring and piloting emerging technologies to enhance the Lab’s capabilities Who You Are • Hands-on experience in designing, deploying, and maintaining production-grade machine learning systems, • Proven ability to work with both structured and unstructured data in large-scale environments, • Strong problem-solving and analytical thinking abilities, • Excellent communication and collaboration skills to work with cross-functional teams, • Ability to manage competing priorities and deliver high-quality work within deadlines, • Mentor team members and contribute to the knowledge-sharing culture within the Lab Education • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (Master’s preferred) Experience • 3+ years of experience in machine learning engineering or software development Required Skills • Machine Learning and AI:, • Experience with LLMs, NLP, generative AI, and advanced deep learning techniques, • Proficiency in PyTorch, TensorFlow, and distributed training frameworks, • Infrastructure and Pipelines:, • Knowledge of scalable data pipelines, inference systems, and cloud computing platforms (e.g., AWS, Google Cloud, Azure), • Familiarity with vector databases, ETL pipelines, and real-time processing systems, • Programming and Development:, • Proficiency in Python, and experience with Java and C++ for building production-grade systems, • Experience with software development practices such as version control (Git), containerization (Docker), and API design, • Data Processing and Analysis:, • Expertise in feature engineering, ETL processes, and handling large-scale datasets, • Strong command of SQL and tools for data manipulation and analysis Preferred Skills • Familiarity with monitoring tools such as Prometheus, MLflow, and OpenTelemetry, • Experience in deploying AI systems with Terraform, Kubernetes, or similar DevOps tools, • Exposure to SaaS platform development or intelligent recommendation systems Where You'll Be This is a remote position, with travel to the temporary company headquarters in Ft Worth, TX, 1 week every 4-6 weeks for team collaboration. Once our new plant in Jacksonville, FL is open (in 1-2 years), you'll travel there 1 week every 4-6 weeks. Benefits Otto Aerospace provides a robust benefits package that includes competitive salaries, subsidized medical, dental, and vision coverage, 401(k) opportunities, paid short term disability, voluntary long-term disability and additional term life, with 15 paid days off, 13 paid company holidays, and paid sick leave. Depending on seniority and role, some roles qualify for potential bonuses and stock options. Otto Aerospace is an Equal Opportunity Employer We are committed to diversity, equity, and inclusion in every aspect of our hiring process. All applicants will be considered for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. We believe that a diverse team brings fresh perspectives, innovative ideas, and greater success. The more inclusive we are, the stronger we become. Applicants must be legally authorized to work in the U.S. #LI-Remote

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking an experienced Lead Data Scientist to drive advanced analytics initiatives focused on improving forecasting model accuracy and developing Generative AI solutions for explainability. This role requires a strong blend of machine learning expertise, forecasting experience, deep learning knowledge, and hands-on healthcare domain understanding. Key Responsibilities • Lead the design, development, and enhancement of forecasting models to improve prediction accuracy and business outcomes., • Build and deploy advanced Deep Learning models for large-scale structured and unstructured datasets., • Develop Generative AI / Explainable AI solutions to provide transparent and interpretable insights from predictive models., • Analyze healthcare datasets including claims, patient, provider, operational, or clinical data., • Collaborate with business stakeholders, product teams, and engineering teams to translate business challenges into scalable AI solutions., • Monitor model performance, retrain models, and optimize algorithms for production environments., • Mentor junior data scientists and provide technical leadership across the project., • Ensure compliance with healthcare data privacy and governance standards., • 8–10 years of experience in Data Science / Machine Learning roles., • Strong hands-on expertise in Forecasting models (time series, demand forecasting, predictive analytics)., • Experience with Deep Learning frameworks such as TensorFlow, PyTorch, or Keras., • Proven experience building Generative AI / Explainability models using LLMs, SHAP, LIME, or similar frameworks., • Mandatory experience working in the Healthcare domain., • Strong programming skills in Python, SQL, and ML libraries., • Experience with cloud platforms such as AWS, Azure, or GCP preferred. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Platform Engineer Vectara is the Enterprise Agent Platform that enables businesses to build and deploy governed, grounded, auditable AI agents across SaaS, VPC, and on-prem. We have developed our own models, observability and orchestration layers, guardrails, and context management systems in order to provide our customers with the greatest levels of AI agent accuracy, security, and explainability. Our founding members include industry veterans and experts in neural information retrieval and distributed systems from Google. We’re a passionate team that’s hyper-focused on solving enterprise-level technology and business problems with AI. Join us! The Role You'll own the infrastructure that runs our deploy anywhere platform — from Kubernetes clusters serving ML inference at scale to the CI/CD pipelines, IaC, and observability stack that keep it all reliable. This is a hands-on role: you'll write Helm charts and Terraform one day, debug a Kafka consumer lag issue the next, and ship a backend service feature the day after. You'll deploy across AWS, GCP, and on-premises (including air-gapped environments), and you'll participate in an on-call rotation supporting enterprise customers. What You’ll Do • Build and maintain infrastructure-as-code (Terraform, Helm) for our AWS EKS and GCP GKE clusters, plus on-premises deployments (including Tanzu and air-gapped environments)., • Own CI/CD pipelines (GitHub Actions, Bazel, ArgoCD) and drive GitOps adoption., • Deploy, scale, and optimize ML/NLP inference workloads (vLLM, PyTorch, GPU scheduling with various Kubernetes scalers)., • Build and improve observability: Prometheus, Grafana, Datadog,, and OpenTelemetry., • Collaborate with Field Engineering to support PoCs and platform deployments in customer cloud VPCs and on-prem environments., • Contribute to backend services (Java 21, Python, gRPC) and platform features., • Improve system reliability, scalability, and developer experience across the engineering org. What You’ll Bring (Required): • 2+ years in platform engineering, DevOps, SRE, or backend infrastructure roles., • Hands-on with infrastructure-as-code: Terraform, Helm, or Pulumi., • Experience with at least one major cloud provider (AWS preferred; GCP or Azure also valued)., • Proficiency in one or more of: Go, Python, Java. Comfortable reading and contributing to backend codebases., • Working knowledge of CI/CD systems (GitHub Actions, Bazel, ArgoCD, or similar)., • Solid fundamentals in Linux, networking, and distributed systems. What Sets You Apart (Preferred) • Experience deploying or operating ML inference workloads (model serving, GPU scheduling, vLLM, TensorFlow Serving, or similar)., • Familiarity with streaming/messaging systems (Kafka, Pulsar) and data stores (MariaDB/PostgreSQL, Aerospike, ClickHouse, OpenSearch)., • Experience with GitOps workflows (ArgoCD, Flux)., • Exposure to air-gapped or on-premises Kubernetes deployments., • Background in observability tooling (Prometheus, Grafana, OpenTelemetry, Datadog)., • Experience providing technical support or working directly with enterprise customers on infrastructure issues., • Comfort with AI-assisted development workflows and managing AI coding agents. Location requirements: We support remote applicants from all over the US but candidates who can come to the office 2-3 days a week in our Palo Alto office are preferred. Perks and Benefits: 100% paid Medical, Dental, Vision for employees. Option of Health Savings Account (HSA) or Flexible Savings Account (FSA). Generous paid time off (PTO) plus paid sick time and holidays. Professional development and training opportunities. Company virtual happy hours and fun team building activities and more. Salary is just one component of Vectara’s employee compensation. Our full-time employees are also equity owners in the company, which although not an immediate cash component, can have positive impacts on long-term total compensation for each participating employee. We would be remiss if we didn’t highlight and celebrate our focus on engaging many of our employees in being economic co-owners of the business. Vectara welcomes all. We value the collective wisdom of people from different backgrounds, experiences, abilities and perspectives. We never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Vectara has a positive and supportive culture—we look for people who are inventive and work to be a little better every single day. We seek to be smart, humble, hardworking and, above all, curious. After all, we are on a mission to find meaning.

Ensures compliance with VA data governance, security, and privacy standards. TensorFlow, PyTorch); Data visualization tools (e. Proven experience integrating clinical informatics systems (VA VistA/CPRS, Cerner Millennium) and validating data migration fidelity.

Who is Sonar? Sonar helps prevent code quality and code security issues from reaching production, amplifies developers' productivity in concert with AI assistants, and improves the developer experience with streamlined workflows. Sonar analyzes all code, regardless of who writes it — your internal team, genAI, or third parties — resulting in more secure, reliable, and maintainable applications. Rooted in the open source community, Sonar’s solutions support over 30 programming languages, frameworks, and infrastructure technologies. Today, Sonar is used by +7M developers and 400K organizations worldwide, including the DoD, Microsoft, NASA, MasterCard, Siemens, and T-Mobile. We believe in developing great products that are supported by great internal teams and a strong culture. We are highly committed to and obsessed with the company, users, each other, and our open source community. We have high standards and hold each other accountable for acting with positivity, dedication, thoughtfulness, empathy, and passion daily. We are deliberate with our decisions with high clarity of intention. At the same time, we feel extreme urgency and move forward quickly. And lastly, we are highly effective and operationally efficient. We operate collectively as One Team to accomplish our goals. At Sonar, CODE is more than just an acronym – it's a mindset that defines daily operations. Why You Should Apply: At Sonar, we’re a group of brilliant, motivated, and driven professionals working hard to help supercharge developers to build better, faster. Sonar helps to continuously improve code quality and code security while reducing developer toil. This means that developers can focus on doing more of what they love and less of what they don’t. Our solutions don’t just solve symptoms of problems – we help fix issues at the source – for all code, whether it's developer-written, AI-generated, or from third parties. We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. Team members should be able to come to work every day, work on a product they are proud of, love what they do, and feel energized by their peers. With our roots deep in the open source community, we’re all about the mission: supercharge developers to build better, faster. The Impact You Will Have: As the Vice President of Data & AI, you will be the transformative force that turns our data into a strategic enterprise asset. Your vision will directly shape our competitive edge by fostering a data-first culture, driving the development of advanced AI and machine learning models to unlock new revenue streams, and dramatically improving operational efficiency. You will build and mentor a world-class team of data professionals, establishing the foundational data infrastructure and governance that empowers the entire organization to make smarter, faster, and more impactful decisions. Your leadership will be pivotal in defining not just our data strategy, but the future of our business. • Spearhead the company's entire Data & AI organization - encompassing data engineering, data science, machine learning, and analytics - to deliver transformative data products and AI-powered capabilities that drive business value., • Define and champion the company's comprehensive Data & AI strategy, establishing a clear vision for how data science, analytics, and machine learning will create a sustainable competitive advantage., • Own the architecture and roadmap for the company’s enterprise data platform, machine learning infrastructure (MLOps), and analytics ecosystem, ensuring robust scalability, reliability, and data integrity., • Serve as the executive data partner to the entire organization, collaborating with Product to embed AI into the user experience and with business leaders to foster a data-driven culture through actionable insights., • Establish and enforce a rigorous data governance framework, ensuring data quality, privacy, security, and compliance across the entire data lifecycle., • Implement and champion best practices in DataOps and MLOps to increase the velocity and reliability of data pipelines and model deployment. Foster a culture of rigorous experimentation and responsible AI development., • Build and scale a world-class organization of Data Scientists, ML Engineers, Data Engineers, and Analysts. Own the talent strategy for all data functions, from recruitment and retention to defining specialized career paths., • Mentor and develop a senior leadership team across the data and AI functions, building the technical and strategic capabilities required to solve the company's most complex challenges., • 15+ years of progressive experience in the engineering domain, with at least 8+ years in an international leadership capacity managing high-performing data engineering, data science, and/or machine learning teams., • A proven track record of delivering large-scale data platforms and productionized ML models that have resulted in significant, measurable business impacts (e.g., revenue growth, cost savings, enhanced user engagement)., • Deep technical expertise in the modern data and AI ecosystem, including cloud data platforms (e.g., Snowflake, Databricks, BigQuery), MLOps principles, ML frameworks (e.g., TensorFlow, PyTorch), and data orchestration technologies., • Exceptional communication and influencing skills, with the ability to articulate a compelling vision for data and AI and translate complex technical concepts into business value for an executive audience (C-suite, Board of Directors)., • Visionary leadership skills with the proven ability to recruit, mentor, and inspire a multi-disciplinary team of world-class data scientists, engineers, and analysts, fostering a culture of innovation, collaboration, and intellectual curiosity., • Expertise in establishing robust Data Governance and applying modern operational frameworks (DataOps, MLOps) to ensure data quality, compliance, and rapid, reliable delivery of data products and models., • Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness and embraces the right to fail (and get right back up again!)., • Great people make a great company. We value people skills as much as technical skills and strive to keep things friendly while still being passionate leaders in our domains., • We have a flexible work policy that includes 3 days in-office and 2 days work-from-home each week for those located near our office locations; some locations such as Dubai, India, Japan and Australia operate fully remotely., • We have a growth mindset. We love learning and believe continuous education is critical to our success. In an ever-changing industry, new skills are necessary, and we're happy to help our team acquire them., • As the leader in our field, our products and services are as strong as our internal team members., • We embrace transparency with regular meetings, cascading messages and updates on the growth and success of our organization., • We encourage usage of our robust time-off allocations with 27 PTO days for our employees based out of the Geneva region, plus additional days based on seniority and circumstances., • We contribute 60% of the total cost for your pension; 13.5% to 15.5% of your base salary for savings; 2% for risk., • Generous discretionary Company Growth Bonus, paid annually., • Commuting:Sustainable mobility options, including carpooling and the refund of 60% of the annual transportation subscription., • Global workforce with employees in 20+ countries representing 35+ unique nationalities.

Job Link: ___ Glocomms is seeking a talented Data Scientist specializing in Computer Vision to join our dynamic team in San Francisco County, CA. In this pivotal role, you will leverage advanced algorithms and machine learning techniques to transform visual data into actionable insights, driving innovation and enhancing our technology offerings. Your contributions will be crucial in developing cutting-edge solutions that improve user experiences and optimize operational efficiencies across various domains. As a Data Scientist in Computer Vision, you will design and implement robust models to analyze and interpret images and videos, collaborating closely with cross-functional teams to integrate these capabilities into our products. Your responsibilities will include preprocessing large datasets, deploying machine learning frameworks, and conducting experiments to refine model accuracy. You will also have the opportunity to present your findings to stakeholders, influencing our strategic direction in the technology landscape. The ideal candidate will possess a Master’s or Ph.D. in Computer Science, Engineering, or a related field, with a strong foundation in machine learning, deep learning, and computer vision techniques. Proficiency in programming languages such as Python or R, along with experience in utilizing frameworks like TensorFlow or PyTorch, is essential. A passion for problem-solving and a creative mindset will set you apart as you tackle complex challenges in the field. This is an exciting opportunity to join a forward-thinking company that champions innovation and embraces the latest advancements in technology. At Glocomms, you will not only contribute to groundbreaking projects but also enjoy a collaborative work environment that fosters professional growth and development. Join us as we redefine the future of technology through the power of data and vision. • •Master’s or Ph.D. in Computer Science or Engineering, • •Strong foundation in machine learning and deep learning, • •Experience in computer vision techniques, • •Minimum of 2-3 years of relevant experience, • •Proven track record of successful projects, • •Strong analytical and critical thinking skills, • •Excellent communication and presentation abilities

About Fusemachines Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic and more than 450 full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world. About the role A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic ai, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams. Responsibilities: • Lead a team of data scientists to develop innovative solutions to complex business problems., • Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions., • Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue., • Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems., • Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner., • Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems., • Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work., • Applicants should have a Masters, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field., • 6+ years experience in Data Scientist or Machine learning., • Strong programming skills in languages such as Python, • Hands-on experience with ML frameworks, such as PyTorch, or Tensorflow, • Experience with cloud compute environments such as AWS, GCP, Azure, • Experience leading data science teams., • Ability to work independently and manage multiple projects simultaneously., • Strong problem-solving skills and attention to detail., • Excellent communication skills both written and verbal., • Experience in industries such as finance, healthcare, e-commerce, retail, or marketing is a plus.Nice to have: Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation., • Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT).Please read carefully the restrictions before applying.

Position Summary: MedReview Innovation and Development team is seeking a data engineer to function as the primary architect and operator of our data infrastructure. Your mission is to evolve our current environment into a rapid-acquisition engine capable of feeding real-time ML models, innovation, and operations while maintaining rigorous healthcare compliance standards. Responsibilities: • Pipeline Architecture: Design, implement, and maintain end-to-end data pipelines on Azure, ensuring high availability and low latency for healthcare claim and analytics processing., • High-Performance Storage: Manage and optimize ClickHouse as our primary analytical engine, focusing on rapid data ingestion and lightning-fast query performance for large-scale datasets., • ML Data Readiness: Structure data environments to support the full ML lifecycle, from feature engineering and training to real-time model inference., • MLOps Integration: Collaborate with Data Scientists to implement automated CI/CD pipelines for model deployment, monitoring, and retraining., • Rapid Acquisition: Develop scalable frameworks to ingest diverse healthcare data sources (EDI, claims, clinical notes) with high velocity., • Security & Compliance: Ensure all data structures and processes adhere to HITRUST/HIPAA standards, collaborating with IT and the leads for technical efforts for HITRUST certification readiness.Required Skills & Experience, • Cloud Expertise: 5+ years of experience in data engineering, with deep proficiency in Azure Data Factory, Azure Databricks, or Azure Synapse., • OLAP Mastery: Proven experience managing and tuning ClickHouse (or similar columnar databases like Druid/Pinot) for massive datasets., • Programming: Expert-level Python and SQL skills., • ML Engineering: Familiarity with ML frameworks (PyTorch, TensorFlow) and MLOps tools (MLflow, Kubeflow, or Azure Machine Learning)., • Healthcare Domain: Prior experience with healthcare data formats (HL7, FHIR, 835/837) and a strong understanding of HITRUST/HIPAA security requirements., • Scale-up Mindset: Ability to build "v1" processes while designing for 10x growth.Preferred Qualifications:, • Experience with Infrastructure as Code (Terraform, Bicep)., • Knowledge of stream processing (Kafka, Azure Event Hubs)., • Background in financial or payment integrity analytics.

Position Summary As our AI Solutions Architect, you’ll serve as the technical and strategic bridge between customers, delivery teams, and executive stakeholders for our AI engagements. You will work closely with the product and analyst team, to deeply understand the business gap/ opportunity, user profile and technology landscape, and act as the single point of design authority on the production solution design. You will ensure all technical designs create a coherent, scalable, integrated compelling solution, and you will work closely with the Product Leadership to balance technical and solution trade-offs and priorities. You will lead the design of end-to-end integration-first AI solutions, with a strong focus on connecting AI-enabled products, cloud services, and data platforms. You’ll own solution design from discovery through handoff, ensuring every engagement is technically sound, financially viable, and positioned for measurable business impact. Key Responsibilities * Design cloud-native AI and data solution architectures, including reference patterns, data flows, AI/ML workflows, and LLM orchestration that balance scalability, security, cost, and speed to value. * Translate AI and data architectures into clear diagrams, executive-ready narratives, visuals, and roadmaps for technical and non-technical stakeholders. * Advise clients on AI strategy, build-vs-buy decisions, governance, and ethical considerations. * Integrate and orchestrate data across multiple platforms, including cloud data warehouses and lakes (e.g., Snowflake, BigQuery, Databricks) and external APIs * Collaborate with ML Engineers and Data Engineers to validate architectural alignment and integration feasibility. * Conduct architecture reviews and risk assessments; identify and execute course corrections as needed. * Architect AI solutions that leverage LLMs and RAG patterns to deliver interpretable insights and human-readable outputs from complex model results. * Mentor junior architects and consultants; contribute to reusable accelerators, templates, and an internal knowledge base. * Provide technical oversight across multiple client engagements, ensuring architectural consistency, delivery quality, and alignment between business requirements and implemented solutions. * Provide hands-on guidance to engineering and data teams on API integrations, data pipelines, and AI service connectivity, ensuring solutions are scalable, secure, and maintainable. * Stay current on emerging AI platforms, LLM tooling, and cloud-based data services, continuously evaluating how they can enhance our integration capabilities. Required Qualifications * 8+ years in solution architecture, data engineering, or software engineering roles; 3+ years architecting AI/ML solutions in production. * Proven experience designing modern, cloud-native AI solutions and integrations across AWS, Azure, or GCP, including data platform integration, LLM orchestration, and secure API connectivity. * Hands-on experience with at least two of the following: * Deep-learning frameworks (TensorFlow, PyTorch, JAX). * NLP/LLM stacks (Hugging Face, LangChain, vector databases, RAG patterns). * Computer-vision pipelines (OpenCV, TorchVision). * AutoML & orchestration (Vertex AI, SageMaker, MLflow, Kubeflow, Airflow). * Solid grounding in data modeling, API design (REST/GraphQL), containerization (Docker, Kubernetes), and IaC (Terraform, CloudFormation, or Pulumi). * Exceptional communication skills—able to whiteboard with engineers in the morning and brief the C-suite in the afternoon. * Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). * Consulting or professional-services experience Bonus Skills * Familiarity with privacy regulations (GDPR/CCPA) and AI governance frameworks (NIST AI RMF, ISO/IEC 42001 draft). * Track record leading GenAI POCs or production deployments (chatbots, copilots, content generation, autonomous agents). * Relevant certifications (e.g., AWS Solutions Architect Professional, Google Professional Cloud Architect, Microsoft Azure Solutions Architect, TensorFlow Developer). Core Competencies * Architectural Systems Thinking – Visualizes complex interactions across data, application, and infrastructure layers. * AI/ML Depth & Breadth – Stays current on techniques, tooling, and responsible-AI best practices. * Client Influence – Builds trust quickly; frames solutions around tangible ROI. * Execution Leadership – Drives estimation accuracy, risk mitigation, and delivery quality. * Collaboration & Mentoring – Elevates team capability through coaching and knowledge sharing.

We are looking for Mid, Senior, and Lead Software Engineers to join our team at Prominent Edge. We are a small, stable, growing company that believes in doing things right. Our projects and the needs of our customers vary greatly; therefore, we always choose the approach and technology stack that best suits the particular problem and the goals of our customers. We, therefore, want engineers who do high-quality work, stay current, and are up for learning and applying new technologies when appropriate. We've been a 100% remote company before it was cool to be remote. We hire the best talent and always strive to exceed expectations. We leverage best-of-breed open source technologies to provide our customers with innovative user-centric solutions. We invest in our company culture and make sure that we have fun. We also have exceptional benefits. If this sounds like the type of environment in which you would thrive, and you qualify for the position below, please apply -- we’d love to hear from you! Visit our careers page (). \n Required Skills • US Citizenship required, • Experience as a Full-Stack Software Engineer experienced working in an Agile development environment, • Experience leading project teams through the full development life cycle, including requirements analysis, architecture, design, coding, testing, and delivery of solutions, • Front-end development skills using modern JavaScript frameworks, such as ReactJS/React Native, Angular, or Vue, • Backend development skills using server-side frameworks, such as NodeJS/Express, Flask, Django, or Spring, • Database skills (e.g., Postgres/PostGIS, SQLite, MySQL, SQL Server, Elasticsearch, MongoDB, Redis, etc.), • Excellent interpersonal and communication skills, • Self-motivated, results-oriented, and team player, • BS degree in Computer Science or related field, or equivalent work experience Additional Skills (“Nice to Have”) • Open source geospatial technologies, such as Mapbox GL, GeoServer, etc., • Data visualization using technologies such as Kibana, Tableau, D3, etc, • Containerization and container orchestration, preferably using Docker and Kubernetes, • Cloud computing, especially using AWS services such as S3, RDS, SQS, EMR, or Kinesis, • Serverless approaches, preferably using AWS Lambda and Serverless Framework, • DevOps and Continuous Integration / Continuous Delivery (CI/CD), using technologies such as Jenkins or AWS CodeBuild, • 3D web experience using technologies such as CesiumJS, WebGL, Unity, or Unreal, • Advanced technologies (machine learning, computer vision, image processing, data mining, data analytics), using tools such as TensorFlow, PyTorch, or Apache Spark, • Scrum Master, • Advanced degree (MS or MBA), • Active (or open to) Security Clearance Benefits • 3 weeks paid time off per year + 10 Holidays, • Six percent 401k matching, vested immediately, • Comprehensive health care plan(s) with nationwide coverage for you and your family, • Flex time (i.e., adjust your hours to fit your schedule), • Paid training, courses, and conferences, • Laptop upgrades, • Work from the comfort of your own home!, • This organization participates in E-Verify \n

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: ___ We are constantly expanding our compute footprint in the cloud, and need to expand our observability and monitoring capabilities alongside. We currently use the built in AWS monitoring tools, but this doesn’t work with our on-premise stuff and aren’t user friendly. There are a number of options out there we could deploy, but all of them require some attention and work. Even if we go a vendored route, we still need at least one person to own this area. You Will..- Design and lead the architecture and development of Waabi’s monitoring and observability stack, used to monitor the health and performance of cloud and on-prem environments.- Develop and extend workloads and benchmarks (compute, storage, network, ML/AI) and integrate stress, chaos, and regression tests to validate hardware and platform choices.- Analyze and optimize end-to-end performance across hardware, firmware, Linux kernel, runtimes, and distributed services using advanced profiling tools (perf, eBPF, flamegraphs, tracing frameworks).- Build automation and observability tooling (Go/Python/Java, Kubernetes/Docker) for CI/CD-based performance regression detection, telemetry, alerting, and anomaly detection.- Work with client teams to support their applications’ observability requirements.- Influence system architecture and tooling decisions that improve how Waabi builds, monitors, and scales its infrastructure.- Drive execution and quality, writing design docs, setting milestones, mentoring ICs, and communicating insights and results to stakeholders and leadership. Qualifications:- 5+ years software engineering or systems/performance engineering experience (BS in CS/EE or related), with demonstrated end-to-end ownership of complex projects.- Proficient in at least one of: Python, Rust, C/C++; strong CS fundamentals and system design skills.- Hands-on with Linux internals (CPU scheduling, memory, I/O, networking) and perf tooling (perf, eBPF, flamegraphs, tracing frameworks).- Experience with Kubernetes, microservices, and distributed systems; comfort building production services and pipelines.- Proven track record of clear communication, writing design docs, and leading cross-functional efforts. Bonus: - Experience deploying and managing observability platforms (OpenTelemetry, Grafana OSS).- Performance tuning for databases/streaming/batch/ML platforms; GPU/xPU or Arm performance exposure.- Experience tuning stream processing, batch or ML platforms (e.g. Argo Workflows, PyTorch).- Familiarity with microservices debugging and distributed tracing (OpenTelemetry, Prometheus).The US yearly salary range for this role is: $148,000 - $249,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. Socure is the leading provider of digital identity verification and fraud prevention solutions, leveraging AI and machine learning to power the most accurate decisions. Our mission is to eliminate identity fraud and ensure online trust across industries. As a Staff Data Scientist for RiskOS, you will sit at the intersection of platform data science, fraud and risk analytics, and Generative AI. You will own end‑to‑end development of data‑driven solutions on the RiskOS platform—from heavy‑duty data exploration and cleaning, through modeling and GenAI agent design, all the way to production deployment and monitoring. You will leverage your expertise in fraud and risk management to help develop and integrate robust detection and decisioning models, and your experience with Generative AI to design, evaluate, and operationalize LLM‑powered tools that improve analytics, workflows, and case investigations. You will collaborate closely with engineering and platform teams to build scalable, production‑grade pipelines and services, and with product and risk leaders to ensure RiskOS delivers actionable insights, self‑serve analytics, and best‑in‑class fraud prevention at scale. This is a highly collaborative, hands‑on technical leadership role for someone who enjoys owning complex data problems end‑to‑end and acting as a force multiplier for other data scientists and product teams. * Develop and implement advanced analytics on top of noisy, heterogeneous RiskOS data to understand user behavior, product usage, fraud patterns, and workflow effectiveness; translate findings into concrete product and risk strategy improvements. * Architect and build scalable data pipelines and production ML workflows, collaborating with data engineering to ensure robust, reliable, and efficient data processing for both batch and streaming use cases. * Lead the design, execution, and analysis of experimentation frameworks to optimize user journeys, feature adoption, and workflow performance across the RiskOS platform. * Lead the creation and evaluation of Generative AI solutions (LLMs, agents, prompt‑based tools) that automate analytics, power case review and investigation assistants, streamline documentation, and enhance RiskOS workflows and reporting. * Define rigorous evaluation frameworks for GenAI solutions, including offline benchmarks, human‑in‑the‑loop review, safety and hallucination checks, and impact measurement in production. * Partner with platform and engineering teams to define and build core RiskOS data science infrastructure, including feature stores, model‑serving APIs, evaluation services, and monitoring frameworks for both traditional ML and GenAI systems. * Own end‑to‑end deployment of production‑grade solutions: packaging models and GenAI workflows, integrating with RiskOS services, establishing SLAs, and instrumenting telemetry, alerting, and feedback loops. * Develop and automate tools for model evaluation, stress testing, backtesting, and adversarial scenario simulation to ensure robustness and operational resilience—especially in high‑risk fraud and compliance contexts. * Enable product and risk teams through self‑serve analytics and tools: build dashboards, template analyses, and GenAI‑driven assistants that help non‑technical users explore RiskOS data, tune workflows, and debug decisions. * Collaborate cross‑functionally with product, engineering, risk, solution consulting, and customer‑facing teams to translate business requirements into data‑driven solutions and actionable insights, particularly for fraud and risk use cases on RiskOS. * Mentor and provide technical guidance to other data scientists and analysts, modeling best practices in experimentation, software engineering hygiene, GenAI safety, and rigorous model evaluation. * Ensure all solutions adhere to best practices in data privacy, security, and compliance, especially when handling sensitive PII and financial data in regulated fintech and public‑sector environments. * Contribute to company‑wide standards for ML and GenAI explainability, risk evaluation, feature logging, and documentation, helping raise the overall AI bar across Socure. * Communicate complex technical concepts and findings clearly to both technical and non‑technical stakeholders, including executive leadership and external partners. * Master’s or PhD in Computer Science, Machine Learning, Statistics, Engineering, or a related quantitative field, or equivalent professional experience. * 6+ years of hands‑on experience in data science, machine learning, or high‑scale data engineering roles, with a proven track record in fraud prevention, risk analytics, or complex decisioning systems. * Strong experience applying Generative AI in production or near‑production contexts, including: * Building and evaluating LLM‑based applications or agents (e.g., retrieval‑augmented generation, workflow assistants, data‑insight copilots). * Prompt design and optimization, safety and guardrail techniques, and quantitative/qualitative evaluation of LLM outputs. * Deep proficiency in Python and SQL, with hands‑on experience using ML frameworks such as scikit‑learn, XGBoost, TensorFlow, or PyTorch, plus modern GenAI/LLM tooling (e.g., OpenAI/Anthropic APIs, Hugging Face ecosystems, orchestration frameworks). * Demonstrated experience building and maintaining scalable data pipelines and deploying ML models in production environments, ideally involving streaming or near‑real‑time data and modern data platforms (e.g., Databricks, Spark, PySpark, BigQuery, or similar). * Solid understanding of data engineering concepts, including ETL, data warehousing, schema design, and distributed computing. * Experience with platform‑oriented data science: working with feature stores, model‑serving infrastructure, CI/CD for ML, automated monitoring, and feedback collection workflows. * Hands‑on experience wrangling messy, high‑volume datasets: designing robust cleaning, normalization, and quality‑control processes; reasoning under missing or biased data; and building reusable data abstractions for other users. * Familiarity with privacy‑preserving ML techniques, secure data handling, and regulatory requirements in fintech, credit, or public‑sector environments is strongly preferred. * Proven ability to collaborate effectively in cross‑functional, fast‑paced teams; strong communication skills with comfort presenting trade‑offs and recommendations to senior stakeholders. * Product‑minded and outcome‑oriented: you care about how models and GenAI tools are used, how they shape user experience and risk posture, and how to measure their real‑world impact. * Direct experience with fraud/risk modeling, identity verification, or trust & safety. * Prior work on orchestration platforms, case‑management tools, or rules/decision engines. * Experience mentoring senior ICs and setting technical direction for a small data science group. Please note that we are unable to provide sponsorship for this role; now or in the future. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! ___ | ___ | ___ | ___

Octane® is revolutionizing recreational purchases by delivering a seamless, end-to-end digital buying experience. We connect people with their passions by combining cutting-edge technology and innovative risk strategies to make lifestyle purchases - like powersports vehicles, RVs, and OPE - fast, easy, and accessible. Octane adds value throughout the customer journey: inspiring enthusiasts with our editorial brands, including Cycle World® and UTV Driver®, instantly prequalifying consumers for financing online, routing customers to dealerships for an easy closing, and supporting customers throughout their loan with superior loan servicing. Founded in 2014, we’re a company with 550+ employees and over 30 OEM and 4,000 dealer partners. At Octane, we’re building innovative technology solutions that power smarter, faster, and more efficient decision-making. We are seeking an accomplished AI/ML Technical Lead to drive the design, development, and deployment of advanced machine learning solutions that scale seamlessly in production environments. In this role, you’ll shape the strategy for how AI is leveraged across the organization, partnering with cross-functional teams to translate business goals into technical solutions that are not only state-of-the-art, but also ethical, secure, and reliable. This position is ideal for a hands-on leader who thrives at the intersection of research and engineering. You will mentor engineers and data scientists, establish best practices for MLOps, and ensure models deliver consistent value long after deployment. With opportunities to explore cutting-edge fields like generative AI, large language models, natural language processing, and computer vision, you’ll play a pivotal role in setting the technical standard for Octane’s AI initiatives while guiding the team toward innovation and measurable impact. Responsibilities: • Lead the end-to-end design, development, and deployment of advanced AI/ML systems, ensuring production environments are scalable, efficient, and highly performant., • Collaborate with cross-functional teams to define AI strategy, evaluate use cases, and translate business objectives into actionable technical solutions., • Build, optimize, and maintain machine learning pipelines, covering data ingestion, preprocessing, model training, evaluation, deployment, and ongoing monitoring., • Establish and champion MLOps best practices, including CI/CD for ML workflows, automated testing frameworks, and continuous model performance monitoring to prevent drift., • Serve as a technical mentor and leader, guiding engineers and data scientists on system architecture, coding standards, and efficient development practices., • Research and evaluate emerging AI methodologies, frameworks, and tools, integrating innovative approaches into the organization’s technology stack where applicable., • Ensure AI solutions meet ethical, security, and compliance standards, including model explainability, bias mitigation, and data privacy requirements., • Partner with engineering leadership to set technical strategy, establish architectural guidelines, and define standards that shape the future of AI initiatives at Octane. Requirements: • Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field with 5+ years of professional experience, or Bachelor’s degree with 8+ years of experience in AI/ML engineering., • Proven expertise with leading ML/DL frameworks such as TensorFlow, PyTorch, or JAX, with hands-on experience training and deploying models., • Strong programming proficiency in Python, with additional experience using languages such as C++ or Java for performance-critical applications., • Practical experience with MLOps tools and workflows, including MLflow, Kubeflow, SageMaker, or Vertex AI to streamline model lifecycle management., • Deep understanding of data engineering concepts such as data pipelines, preprocessing, and distributed computing, as well as hands-on experience with cloud platforms (AWS, Azure, or GCP)., • Demonstrated success designing, deploying, and optimizing AI/ML systems at scale, including model serving, monitoring, and iteration., • Strong communication and collaboration skills, with the ability to influence technical direction and align diverse stakeholders. Preferred Skills: • Experience with generative AI and large language models (LLMs), including prompt engineering and fine-tuning approaches., • Knowledge of advanced ML domains such as natural language processing (NLP), computer vision, reinforcement learning, or recommendation systems., • Familiarity with containerization and orchestration technologies, including Docker and Kubernetes, to support scalable deployment., • Hands-on experience with infrastructure-as-code (IaC) tools, such as Terraform or Ansible, to enable automated and reproducible infrastructure management., • Contributions to the AI/ML community, such as open-source projects, conference presentations, or peer-reviewed research publications. Compensation: In addition to salary, Total Rewards include bonus eligibility, a stock option package, and benefits as outlined below. The role described above offers a base salary of $150,000 to $210,000 + bonus incentive eligibility. Your offer will be based on location, the alignment of your qualifications with the requirements of the job and internal equity. Benefits: • Robust Health Care Plans (Medical, Dental & Vision), • Generous Parental Leave, • Flexible Time Off (FTO) Policy - Time Off When You Need It, • Retirement Plan (401k) with company match!, • Educational Assistance/Tuition Reimbursement up to $3K/year, • Life Insurance (Basic, Voluntary & AD&D), • Short Term / Long Term Disability, • Robust Ancillary benefits including accident insurance, hospital insurance, etc, • Wellhub (Gympass) Wellness Benefit, • Powersports Safety Benefit Disclaimer: The above statements are intended to describe the general nature and level of work being performed by associates assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. Octane Lending is an equal opportunity employer committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected status with respect to recruitment, hiring, promotion and other terms and conditions of employment. #LI-MZ1 #LI-Hybrid

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit ___. The Notifications Relevance Team focuses on delivering the right content to the right user at the right time through push, email, and in-app notifications. Our systems and algorithms operate on the world's largest corpus of human conversation, connecting Redditors with what matters - whether it’s recommending similar posts and subreddits, surfacing conversations they’ll care about, or introducing communities they didn’t know they needed. We are looking for an Engineering Manager to lead our Notifications Relevance team, shaping the future of Notifications at Reddit. In this role, you will lead a team of machine learning engineers dedicated to advancing our current Notifications Relevance systems. This is a high-impact team driving DAU growth and long-term user retention by connecting users to what matters most to them. If applying ML / AI in production to improve the relevance of Reddit Notifications excites you, then you’ve found the right place. What You’ll Do • Lead the team that architects and designs notifications relevance at Reddit., • Guide team on holistic, adaptive systems covering budgeting optimization, candidate retrieval, and ranking., • Work with ML engineers to design, implement, and optimize machine-learning models that drive personalization and user re-engagement., • Participate in the full development cycle: design, develop, QA, experiment, analyze, and deploy., • Build and maintain a diverse team that can collaborate across disciplines to find technical solutions to complex challenges., • Serve as a thought partner to product and upper management to ensure your team’s plans align with company goals., • Communicate your team’s work and set expectations with cross-functional stakeholders., • Help your engineers identify career goals and create development plans to achieve them., • Constantly seek opportunities to push your engineers & managers outside their comfort zone and turn followers into leaders. You Have: • 2+ years of experience building and managing engineering teams., • 5+ years of experience as a Machine Learning Engineer or Software Engineer working on large-scale machine learning systems., • Deep understanding of building and deploying large-scale recommender systems (retrieval + ranking) in production., • Hands-on experience working with deep learning models, sequential features and real-time systems., • Experience with distributed training and inference using tools like Ray, PyTorch Distributed, or similar., • Familiarity with reinforcement learning or multi-objective optimization in recommendation systems., • Entrepreneurial and self-directed, innovative, results-oriented, biased towards action in fast-paced environments., • Able to communicate and discuss complex topics with technical and non-technical audiences., • Able to tackle ambiguous and undefined problems. Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k Match, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Reddit Global Days off, • Generous paid Parental Leave, • Paid Volunteer time off Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit ___. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is: $230,000 - $322,000 USD In select roles and locations, the interviews will be recorded, and transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our ___. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped 2.5 million people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living ___ and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. Our engineering organization consists of many talented Android and iOS app developers distributed across the EU and US. All app developers collaborate closely on each platform, regardless of location or specific feature squad. For day-to-day feature work, our engineers are organized into smaller cross-functional feature squads or teams. Our squads have a great deal of autonomy and are responsible for the development and architecture of their features. Squads take full ownership of their code and handle everything from concepting, design and implementation to release, maintenance and bug fixes. We are looking for Senior iOS Engineers (minimum 5 years of experience) to join one of our app development teams. There are several roles available covering different feature areas, such as activity and movement, women’s health, or new member onboarding. This is a remote US position with a preference for candidates based in the US-Pacific timezone. We have offices in San Francisco and San Diego for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations. What you will do: • Design, build, and maintain high quality code for projects on the team’s roadmap, • Push projects forward by closely aligning with PMs and Designers, • Collaborate with other teams such as backend, firmware, data science, research, science, or QA to deliver complex mobile app features, • Work with iOS colleagues across the US and EU, to improve the health of the iOS codebase, • Minimum 5+ years of professional development experience shipping iOS apps, • Proficiency in Swift programming, UIKit, modern iOS app architectures (MVVM, MVC, TCA, VIPER, etc.) and common third-party libraries and frameworks, • Experience with collaborative development on complex shared codebases with proficiency in git, branching, and standard code review workflows, • Focus on quality through unit tests and manual testing, • Strong computer science fundamentals and design patterns, • Ability to take ownership of projects, design technical solutions, drive implementation, and deliver results with limited guidance, • Ability to mentor other engineers and increase developer productivity across teams, • Experience with Agile or Scrum processes We also appreciate if you have: • 7+ years of professional development experience shipping consumer iOS apps or enterprise apps and SDKs, • Previous experience in tech lead or team lead roles, • Experience with any of the following: Swift structured concurrency, Combine, SQLite/GRDB, SwiftUI, CoreAnimation, CoreGraphics, PyTorch, TypeScript, Kotlin Multiplatform, BLE, SDK development, • Experience with functional programming, • Experience with systems architecture and performance optimization, • Experience working asynchronously across countries and time zones, • Experience working with firmware teams on projects involving hardware, • Experience with app release management and CI/CD, • Experience developing software related to health, wellness, fitness, women’s health, or wearable products What we offer: • Competitive salary and equity packages, • Health, dental, vision insurance, and mental health resources, • An Oura Ring of your own plus employee discounts for friends & family, • 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off, • Paid sick leave and parental leave, • Region 1 $162,000- $200,000, • Region 2 $150,000- $185,000 Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of Fake Job Offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: • Our jobs are listed only on the ŌURA Careers page and trusted job boards., • We will never ask for personal information like ID or payment for equipment upfront. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

About Contextual AI We're revolutionizing how AI Agents work by solving AI's most critical challenge: context. The right context at the right time unlocks the accuracy and production scale that enterprises leveraging AI require. Our enterprise AI development platform sits at the intersection of breakthrough AI research and practical developer needs. Our end-to-end platform allows AI developers to easily and accurately ingest and query documents from enterprise data sources and easily embed retrieval results into their business workflows. Contextual AI was founded by the pioneers of Retrieval-Augmented Generation (RAG), the foundational technique behind the context layer, connecting foundation models to current and relevant information. Backed by the industry's most forward-thinking venture capitalists, we're not just participating in the enterprise AI revolution, we're defining it. Join us in building a future where AI doesn't just answer questions, it transforms businesses. Job Overview Contextual AI is hiring a Forward Deployed Engineer to be part of the GTM team. This team is responsible for selling into Global 2000 organizations deploying generative AI solutions in production. As a Forward Deployed Engineer, you’ll be a trusted technical advisor and subject matter expert for our prospects and customers, understanding requirements, designing demos, and driving business value. You’ll accomplish this by working closely with customers to identify use cases, scope out needs, design pipelines, and help drive the adoption of Contextual AI’s technology. You will be a subject matter expert on AI industry trends and best practices. You will work directly with customers to align Contextual AI’s products to their top use cases. You must be ready for technical discussions with engineers, and demonstrate the value of Contextual AI in business discussions with directors and executives. You will help distill feedback from customers and help improve Contextual AI’s products while working with the product and engineering team. What you’ll do: • You will own the technical aspects of the sales cycle, driving the technology evaluation processes to highlight Contextual AI’s differentiation, clarify the business value to the customer, and ensure our customers’ success with our products, • You will act as a trusted advisor to our customers, while also building relationships with technical stakeholders., • Scope customer trials and projects. Work with the engineering and product teams to design and implement POC requirements that satisfy customer needs but are also technically feasible., • Create and deliver specialized technical demos according to the customers., • Act as the “Voice of the Customer” - Regularly engaging them on status calls, educating on product roadmap and QBRs, and managing escalations, while influencing our roadmap in partnership with our Product team., • Interpret complex problems, create simple solutions and collaborate closely with prospects, channel partners and our sales team to deliver winning solutions. What we’re seeking: • Bachelor's degree in computer science, engineering, or a related field (Master's or Ph.D. preferred)., • Experience working in enterprise SaaS, AI/ML, infrastructure, or similar industries in a technical capacity with end-customer engagement, • Proficiency in data infrastructure and modern machine learning tools (e.g. PyTorch, TensorFlow, transformers)., • Proficiency with coding languages Python, Typescript or similar languages at a production level., • Demonstrated experience providing technical guidance and support in customer calls & interactions, addressing product usage needs, and resolving issues, • Strong communication and presentation skills. Ability to demonstrate professional polish and a high level of technical credibility when speaking with both executives and engineers, • Self-starter and ability to operate independently and at high-velocity, • Clear customer empathy and intellectual curiosity Location: Mountain View, CA or remote within the USA Salary Range for California Based Applicants: $160,000 - $250,000 (actual compensation will be determined based on experience, location, and other factors permitted by law). Equal Opportunity Contextual AI is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.

About the Job: LaunchDarkly’s AI Specialist will be at the forefront of revolutionizing how AI engineers think about, release, monitor, and optimize their agents, scaling up our LaunchDarkly for AI from initial market validation to an industry-leading product. You will represent deep, specialized LD4AI product knowledge, sharing your expertise with prospects and customers, gathering critical feedback that shapes product development, and driving early-stage adoption. Your expertise will be instrumental in establishing the Solutions Engineering frameworks that will guide our future success. This is a role for builders and storytellers who thrive in undefined spaces. You will be expected to build – meaning the construction of integrations, technical content, whitepapers, and tutorials, all alongside attractive demos of our product customized to strategic engagements. You'll work with the innovation coming out of LaunchDarkly's Product team and make a significant impact on how companies build and deploy AI applications. Responsibilities: Expert-Level Solutions/Sales Engineering • Represent the trustworthiness and confidence of serious expertise in practical AI applications in customer conversations (especially as an escalation point above an SE SME), • Spearhead the early-stage implementation and adoption of LD4AI at scale, working closely with existing customers to ensure activation and churn prevention (alongside feedback), • Develop and document Solutions Engineering playbooks and best practices that scale beyond our first customers, • Function as a tremendous partner to the LD4AI Chief of Staff, surfacing revenue-related insights with respect to the maturation of the product accordingly, • Support LD4AI POVs ran by on-the-ground SEs Collect and Propagate Product Feedback • Collaborate extensively with product and engineering teams to ensure product concepts are technically feasible and align with LaunchDarkly's strategic goals, • Drive continuous improvement by monitoring product performance, user experience, and market response, iterating based on actionable data and insights, • Confirm that LD4AI’s roadmap adheres to market demand and deliver exceptional user experiences, especially for the AI developer persona – vocalizing objections with data Build LD4AI Into The World • Deliver integrations against common, quantified customer requests in the form of code contributions, architecture diagrams, and whitepapers, • Function as a key technical asset in (with the Head of AI and the partnership team) technical partnerships with advantageous potential partners (like Anthropic, DataBricks, etc…), • Publicly evangelize LD4AI at mainstream industry conferences, webinars, partner engagements, and strategic meetings Technical Leadership & Communication • Function as the primary owner of the disbursement of enablement material to the SE team, particularly to the designated by team/region SE LD4AI SMEs (for which you have partial, dotted-line accountability), • Co-own Revenue Enablement of LD4AI along with the Head of AI and the LD4AI tetrad, • Work with the AI Researcher, the PMM team, and the Head of AI to build and maintain competitor playbooks Qualifications: AI & Technical Expertise • This role requires a minimum of 12 years of related technical experience, • Extensive experience with AI applications—building, implementing, or selling AI solutions at scale, • Experience building multi-agent systems using frameworks like LangGraph, AgentBuilder, or AgentCore, • Hands-on experience evaluating AI agent performance at scale using automated evaluation methods, • Deep understanding of LLM mechanics (you've read 'Attention is All You Need' and can explain transformer architecture in detail), • Experience building or interfacing with MCP (Model Context Protocol) servers, • Strong Python skills with experience building in PyTorch or TensorFlow, • Strong foundation in software engineering principles and current market trends Mindset & Approach • Strong but loosely-held opinions about AI—you have a point of view but update it based on evidence, • Ability to anticipate where the AI landscape is heading and position products accordingly, • Deep curiosity about how AI changes software development, with an obsession for staying current on new AI technology, • Natural storyteller who can take new technology and craft compelling narratives that resonate with technical audiences, • Thrive in ambiguity—you love figuring it out, building new processes, and working in undefined spaces Pay: Target pay ranges based on Geographic Zones* for Level 5: • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $191,000 - $263,000**, • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $172,000 - $237,000**, • Zone 3: All other US locations - $163,000 - $224,000** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: • Improving the velocity and stability of software releases, without the fear of end customer outages, • Delivering targeted experiences by easily personalizing features to customer cohorts, • Maximizing the business impact of every feature through the ability to experiment and optimize, • Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types, • Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at ___. Do you need a disability accommodation? Fill out this ___ and someone from our People Operations team will contact you for assistance.

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living ___ and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. Our engineering organization consists of many talented Android and iOS app developers distributed across the EU and US. All app developers collaborate closely on each platform, regardless of location or specific feature squad. For day-to-day feature work, our engineers are organized into smaller cross-functional feature squads or teams. Our squads have a great deal of autonomy and are responsible for the development and architecture of their features. Squads take full ownership of their code and handle everything from concepting, design and implementation to release, maintenance and bug fixes. We are looking for Senior Android Engineers (minimum 5 years of experience) to join one of our app development teams. There are several roles available covering different feature areas, such as activity and movement, women’s health, or new member onboarding. This is a remote US position with a preference for candidates based in the US-Pacific timezone. We have offices in San Francisco and San Diego for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations. • Design, build, and maintain high quality code for projects on the team’s roadmap, • Push projects forward by closely aligning with PMs and Designers, • Collaborate with other teams such as backend, firmware, data science, research, science, or QA to deliver complex mobile app features, • Work with Android colleagues across the US and EU, to improve the health of the Android codebase, • Contribute to technical discussions, code reviews, and platform level improvements, • Minimum 5+ years of professional development experience shipping Android apps, • Proficiency in Kotlin programming and modern Android app architectures (MVVM, MVI, etc.), RxJava and/or Coroutines/Flow, Jetpack Compose, and common third-party libraries, • Experience with collaborative development on complex shared codebases with proficiency in git, branching, and standard code review workflows, • Focus on quality through unit tests and manual testing, • Strong computer science fundamentals and design patterns, • Ability to take ownership of projects, design technical solutions, drive implementation, and deliver results with limited guidance, • Ability to mentor other engineers and increase developer productivity across teams, • Experience with Agile or Scrum processes, • 7+ years of professional development experience shipping consumer Android apps or enterprise apps and SDKs, • Previous experience in tech lead or team lead roles, • Experience with any of the following: Dagger, Realm, Sqlite, JNI, PyTorch, TypeScript, Kotlin Multiplatform, BLE, SDK development, • Experience with functional programming, • Experience with systems architecture and performance optimization, • Experience working asynchronously across countries and time zones, • Experience working with firmware teams on projects involving hardware, • Experience with app release management and CI/CD, • Experience developing software related to health, wellness, fitness, women’s health, or wearable products, • Special bonus points if you have experience with ML algorithms, encryption, data privacy or familiarity with C++ At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health and add to our benefits! • Competitive salary and equity packages, • Health, dental, vision insurance, and mental health resources, • An Oura Ring of your own plus employee discounts for friends & family, • 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off, • Paid sick leave and parental leave, • Amazing culture of collaborative and passionate coworkers Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. • Region 1 $162,000- $203,000, • Region 2 $150,000- $187,000, • Region 3 $139,000- $174,000 A recruiter can determine your zones/tiers based on your US location. Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: • Our jobs are listed only on the ŌURA Careers page and trusted job boards., • We will never ask for personal information like ID or payment for equipment upfront., • Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

While candidates in the listed location(s) are encouraged for this role, candidates in other US locations will be considered. #LI-REMOTE As a Sr. Solutions Engineer on the Digital Natives team, you will work with the leading data engineering, data science & ML teams in the market to push the boundaries of what big data architectures are capable of. Reporting to the Field Engineering Manager, you will collaborate with strategic customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way. We are looking for high technical aptitude individuals with a deep sense of ownership and a desire to help customers ship solutions at production scale. Ideal candidates are deeply curious, capable of operating with confidence in ambiguous situations, and are extremely adaptable. The impact you will have: • You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems., • Drive technical discovery and solution design, focusing on winning competitive deals and accelerating time-to-value in strategic accounts., • Continuously research & learn new technologies and their implementations on Databricks, • Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications, • Collaborate with your fellow Solutions Architects, using your skills to support each other and our customers, • Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community., • Work closely with account executives to create and execute account penetration strategies, focusing on winning technical decision-makers and building new customer champions., • Build trusted advisor relationships with senior and executive stakeholders by articulating the business value of Databricks in clear, outcomes-driven terms. What we look for: • 4+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role, • Experience building distributed data systems, • Comfortable programming in, and debugging, Python and SQL, • Have built solutions with public cloud providers such as AWS, Azure, or GCP, • Expertise in one of the following:, • Data Engineering technologies (Ex: Spark, Hadoop, Kafka), • Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow), • Strong executive presence with the ability to influence C/VP-level stakeholders and align technical solutions to strategic business priorities., • Available to travel to customers in your region, • [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research), • Nice to have: Databricks Certification NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply. We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

At HomeVision, we’re enabling the home valuation and appraisal industry to efficiently value a $40 trillion asset class, bringing equity and transparency to the US housing market. We’re funded by Initialized Capital and seeing good traction and revenue growth. We are looking for a talented Frontend Engineer to help evolve our products and delight our customers. Strong empathy for our end users and an ability to think holistically about the product are essential to succeed in this role. What you’ll do: You’ll work on a modern React/Typescript and Golang stack, building workflow automation products for our core user base of home appraisal professionals. HomeVision engineers are empowered to work on the entire product, not just a specific layer of the stack. This could range from productionizing a valuation model to optimizing customer onboarding to building frontend data visualizations that communicate results in a humane, intuitive way. What you’ll bring: * Strong experience in full-stack development on both backend and frontend systems and frameworks. * Proven working experience in Unix/Linux environments and on distributed systems * Ability to learn and master new programming languages and technologies. Bonus points: * Experience in one or more of the following technologies: Go, Python, React/Typescript, Elasticsearch, and Docker. * Experience in scientific and numerical computing (e.g., numpy, scipy, scikit-learn, tensorflow, pytorch, jupyter) considered a plus. What we'll offer you: * A competitive salary and a meaningful equity package * Medical, Dental, and Vision coverage * 401k * Paternity/maternity leave * Flexible vacation policy * A high degree of autonomy and ownership of your work * Support for your professional goals and learning within and beyond the company, through your manager and peers

About Cleerly We’re Cleerly – a healthcare company that’s revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world’s leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly’s solutions are supported by more than a decade of performing some of the world’s largest clinical trials to identify important findings beyond symptoms that increase a person’s risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Opportunity We're seeking a Senior Software Engineer to drive key technical initiatives across our computational imaging pipeline. In this high-impact role, you'll own the complex systems responsible for deploying, scaling, and monitoring our regulated AI algorithms end-to-end. You will influence the architecture of our system, ensuring our solutions meet medical standards for quality and performance, while mentoring other engineers and helping shape our technical culture. About the Team You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly’s regulated products. Responsibilities • Design, build, and deploy scalable AI services and computational imaging pipelines to production, ensuring robust, high-availability infrastructure for our machine learning algorithms., • Design extensible system architectures and make pragmatic trade-offs that balance performance, security, and maintainability., • Own full lifecycle delivery of complex features, from architectural planning and API design to implementation and post-release observability., • Ensure high availability and observability of our services; improve alerting, logging, and incident response across the stack., • Set and uphold strong engineering standards via code reviews, technical mentorship, and design documentation., • Lead technical design reviews and system decomposition efforts across teams., • Proactively identify risks and gaps in operational or architectural resilience, and drive durable improvements., • Collaborate closely across AI and engineering to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation., • Design and implement robust testing mechanism and validation strategies to ensure compliance with our Quality Management System and regulatory standards, • Contribute to the necessary technical documentation required for regulatory submissions. Requirements • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field (or equivalent experience)., • 8–12 years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar)., • Demonstrable capability in designing, implementing, and securing RESTful web services, • Experience in MLOps orchestration and cloud deployment (Docker, Kubernetes)., • Experience with AWS, GitHub, and continuous integration pipelines, • Proven track record of architecting and delivering scalable systems in production environments., • Experience mentoring engineers and raising the technical bar through reviews and design feedback., • Strong systems thinking with the ability to evaluate tradeoffs in scalability, reliability, and maintainability., • Experience designing for observability and operational excellence (e.g., logs, alerts, dashboards, runbooks)., • Comfortable operating in ambiguity and driving clarity across product, engineering, and business stakeholders. Preferred: • Experience designing and optimizing end-to-end medical imaging pipelines in a production environment and familiarity with HIPAA/HITRUST security requirements., • Hands-on experience with Computer Vision and Deep Learning techniques used for medical image processing. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. Job duties, activities, and responsibilities are subject to change by our company. The base salary range for this role varies by location and is aligned to market benchmarks. • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range., • Final compensation is determined based on location, experience, skills, and internal equity. This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges: • Base Salary: $153,000 - $179,000, • TTC: $176,000 - $206,000 *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards. Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact, • T: Teamwork- together we win Don’t meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. For more information see our Privacy Policy (___. All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

About Cleerly We’re Cleerly – a healthcare company that’s revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world’s leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly’s solutions are supported by more than a decade of performing some of the world’s largest clinical trials to identify important findings beyond symptoms that increase a person’s risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Opportunity We're seeking a Software Engineer 3 to drive key technical initiatives across our computational imaging pipeline. In this high-impact role, you'll be part of the team owning the complex systems responsible for deploying, scaling, and monitoring our regulated AI algorithms end-to-end. You will influence the architecture of our system, ensuring our solutions meet medical standards for quality and performance, while mentoring other engineers and helping shape our technical culture. About the Team You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly’s regulated products. Responsibilities • Build and deploy scalable AI services and computational imaging pipelines to production, ensuring robust, high-availability infrastructure for our machine learning algorithms., • Contribute to the system architecture's design and make pragmatic trade-offs that balance performance, security, and maintainability., • Own full lifecycle delivery of complex features, from architectural planning and API design to implementation and post-release observability., • Support the high availability and observability of our services; improve alerting, logging, and incident response across the stack., • Uphold strong engineering standards via code reviews, technical mentorship, and design documentation., • Collaborate closely across AI and engineering to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation., • Implement robust testing mechanism and validation strategies to ensure compliance with our Quality Management System and regulatory standards Requirements • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field (or equivalent experience)., • 5–8 years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar)., • Demonstrable capability in designing, implementing, and securing RESTful web services, • Experience in MLOps orchestration and cloud deployment (Docker, Kubernetes)., • Experience with AWS, GitHub, and continuous integration pipelines, • Proven track record of delivering scalable systems in production environments., • Strong systems thinking with the ability to evaluate tradeoffs in scalability, reliability, and maintainability., • Experience designing for observability and operational excellence (e.g., logs, alerts, dashboards, runbooks)., • Comfortable operating in ambiguity and driving clarity across product, engineering, and business stakeholders. Preferred: • Experience designing and optimizing end-to-end medical imaging pipelines in a production environment and familiarity with HIPAA/HITRUST security requirements., • Hands-on experience with Computer Vision and Deep Learning techniques used for medical image processing. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. Job duties, activities, and responsibilities are subject to change by our company. The base salary range for this role varies by location and is aligned to market benchmarks. • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range., • Final compensation is determined based on location, experience, skills, and internal equity. This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges: • Base Salary: $129,000 - $152,000, • TTC: $142,000 - $168,000 *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards. Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact, • T: Teamwork- together we win Don’t meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. For more information see our Privacy Policy (___. All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

At Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry. The primary role of the Software Engineer 2 is to drive research, modernization, and innovation initiatives across mission-critical systems. This role focuses on evaluating existing production environments, identifying modernization opportunities, and delivering rapid, validated solutions through structured trade studies and short-duration experiments. You will collaborate directly with mission stakeholders to assess system gaps, design fail-fast experiments, and lead proof-of-concept development efforts that influence long-term architectural direction. Your work will directly impact modernization strategies, cloud adoption, and enterprise re-architecture efforts. Limited telework available Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph). • Engage with mission stakeholders to identify operational challenges and modernization opportunities, • Conduct trade studies and produce detailed technical research reports with actionable recommendations, • Design and execute short-duration (one-week) fail-fast experiments to validate feasibility, • Lead development of proof-of-concept solutions within six-week timelines, ensuring weekly demonstrable, • milestones, • Provide accurate time, scope, and resource estimates to maintain mission schedules, • Collaborate with cross-functional teams to integrate successful prototypes into operational environments, • Plan and support replatforming, rearchitecting, and refactoring of monolithic applications into cloud-native, • solutions, • Apply secure authentication, authorization, and PKI principles within modernized architectures, • Continuously evaluate emerging technologies and propose innovative mission-aligned solutions, • TS/SCI with agency appropriate poly, • Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, Math, or Physics is required or equivalent combination of education, training, and experience, • Minimum 14 years of relevant experience in software engineering, modernization, or solution architecture, • Strong proficiency in Java, Python, and JavaScript (ReactJS), • Experience with AWS services including EC2 and S3, • Hands-on experience with REST-based services and modern API development, • Experience with the Atlassian Tool suite of software development and management products (Confluence, • and Jira), • Familiar with SAFe Agile principles, methodologies, and best practices, • Experience with system administration of solutions related to metrics and monitoring, including Splunk, • Experience configuring and sustaining VMware ESXi/Virtualization environments, • Experience with IaC principles and automation tools including Ansible, • Experience with containerization and orchestration tools such as Docker and Kubernetes, • Strong understanding of authentication and authorization frameworks including OAuth2 and OpenID Connect, • Experience working with PKI and certificate management, • Experience working in Agile development environments, • Must meet LCat Capabilities Requirements, • Experience conducting modernization trade studies and architectural assessments, • Experience with graph databases such as Amazon Neptune or Neo4j, • Familiarity with AI/ML tools such as TensorFlow, PyTorch, or Hugging Face, • Experience with GoLang, • Experience with Grafana, • Experience with identity and access management platforms such as Keycloak, • Experience with CI/CD tools including Jenkins, GitLab CI, or GitHub Actions, • Familiarity with build tools such as Maven, • Experience designing scalable, cloud-native architectures for mission systems, • Ability to interpret ambiguity and translate high-level needs into technical solutions, • Comfortable guiding junior developers and organizing tasking within collaborative teams, • Experience working in fast-paced, evolving mission environments, • A Choice of Medical Plan Options, some with Health Savings Account (HSA), • Vision and Dental, • Life and AD&D Benefits, • Short and Long-Term Disability, • Hospital Indemnity, Accident, and Critical Illness Insurances, • Optional Identity Theft and Legal Protection Services, • Employee Referral Bonus Eligibility up to $10,000, • Mobility Among Wyetech-supported Contracts, • Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS, • Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! This is a rare opportunity to lead foundational work at the intersection of large-scale pretraining and embodied AI. You’ll shape how Wayve curates and experiments with data to pretrain the next generation of multi-modal foundation models for autonomy. Working at the frontier of a still-undefined field, you’ll collaborate with research and engineering teams to define what “good data” looks like for embodied systems — and work with engineering teams to build the infrastructure to scale it. Your work will directly influence the performance, generalization, and capabilities of Wayve’s AI stack. Key responsibilities: • Lead data curation, enrichment, and filtering efforts for large-scale pretraining of embodied models, • Build and manage distributed data processing and ingestion pipelines across modalities, • Partner with research teams to run data-centric experiments and influence model training strategy, • Identify, integrate, and leverage third-party datasets to enhance pretraining and evaluation, • Manage and mentor a team of engineers and data scientists to deliver scientific and technical impact In order to set you up for success as a Tech Lead / Tech Lead Manager at Wayve, we’re looking for the following skills and experience: • Leadership in data-centric AI: Experience leading research or engineering teams focused on dataset curation, filtering, or enrichment at scale, particularly for large-scale model pretraining., • Contributions to data benchmarks or tools: Involvement in projects like DataComp, LAION, DINO, MOLMO, or equivalent initiatives that define or evaluate pretraining dataset quality., • Deep understanding of distributed data processing: Strong working knowledge of frameworks such as Ray, Spark, Dask, or equivalent, and designing scalable, fault-tolerant data pipelines., • Hands-on deep learning expertise: Strong proficiency in PyTorch and a solid grasp of how data quality, distribution, and structure impact training dynamics and model generalisation., • Experimental mindset: Demonstrated ability to run and interpret data-centric experiments (e.g., small-scale trials, ablations) to inform large-scale model training., • Collaboration with research: Experience working closely with ML researchers and contributing to experimental design, pretraining strategies, or evaluation design., • Minimum 5 years of relevant industry experience: Including at least several years in data-heavy, model-driven environments involving deep learning at scale., • Track record of research impact: Publications in top-tier conferences such as NeurIPS, ICML, CVPR, ICCV, CoRL, or equivalent, especially in data-centric learning, representation learning, or self-supervised learning., • People management experience: Track record managing ~5 direct reports in a research or research-leaning engineering environment; skilled in team development, prioritization, and technical alignment., • Experience with multi-modal or embodied systems: Familiarity with datasets involving video, language, lidar, radar and generally sensor fusion or embodied perception and control., • Tooling and infrastructure know-how: Familiarity with modern data versioning, annotation, and orchestration tools (e.g., Weights & Biases, ClearML, Labelbox, Airflow, Metaflow, etc.)., • Autonomous systems exposure: While prior AV or robotics experience is not required, a demonstrated interest in embodied intelligence or real-world agent learning is a plus., • Systems thinking and data-product intuition: Ability to reason about upstream data decisions and their downstream effects on models, infrastructure, and product goals., • Attractive compensation with salary and equity, • Immersion in a team of world-class researchers, engineers and entrepreneurs, • A unique position to shape the future of autonomy and tackle the biggest challenge of our time, • Bespoke learning and development opportunities, • Relocation support with visa sponsorship, • Flexible working hours - we trust you to do your job well, at times that suit you and your time, • Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more! This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. For more information visit ___ To learn more about what drives us, visit ___ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

While candidates in the listed location(s) are encouraged for this role, candidates in other US locations will be considered. #LI-REMOTE As a Solutions Architect on the Digital Natives team, you will work with the leading data engineering, data science & ML teams in the market to push the boundaries of what big data architectures are capable of. Reporting to the Field Engineering Manager, you will collaborate with strategic customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way. We are looking for high technical aptitude individuals with a deep sense of ownership and a desire to help customers ship solutions at production scale. Ideal candidates are deeply curious, capable of operating with confidence in ambiguous situations, and are extremely adaptable. The impact you will have: • You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems., • Drive technical discovery and solution design, focusing on winning competitive deals and accelerating time-to-value in strategic accounts., • Continuously research & learn new technologies and their implementations on Databricks, • Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications, • Collaborate with your fellow Solutions Architects, using your skills to support each other and our customers, • Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community., • Work closely with account executives to create and execute account penetration strategies, focusing on winning technical decision-makers and building new customer champions., • Build trusted advisor relationships with senior and executive stakeholders by articulating the business value of Databricks in clear, outcomes-driven terms. What we look for: • 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role, • Experience building distributed data systems, • Comfortable programming in, and debugging, Python and SQL, • Have built solutions with public cloud providers such as AWS, Azure, or GCP, • Expertise in one of the following:, • Data Engineering technologies (Ex: Spark, Hadoop, Kafka), • Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow), • Strong executive presence with the ability to influence C/VP-level stakeholders and align technical solutions to strategic business priorities., • Available to travel to customers in your region, • [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research), • Nice to have: Databricks Certification NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply. We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

Role: ML/AI Engineers (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. What You’ll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. 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

Let’s build the future of AI – together. Are you passionate about building smart software that makes a real difference? Are you excited about AI technologies and working with modern frameworks? Then you’re in the right place! As a Fullstack Engineer AI, you'll work with modern frameworks, contribute your ideas, and collaborate closely with a passionate, cross-functional team: • You will build fast, scalable frontend solutions with React, Next.js, or Angula, • You will bring AI features to life in our digital product, • You will collaborate closely with backend, AI, and UX team, • You will write clean, maintainable code with a focus on performance, • You will contribute to CI/CD pipelines and set up automated tests, • You have 2-5 years of experience in software development (ideally with an AI focus), • You have strong knowledge of TypeScript, React, Next.js, or Angular, • You have experience with Python and an interest in AI technologies, • You have worked in agile setups like Scrum or Kanban, • Bonus skills: Experience with ML Tools like PyTorch or ClearML and backend knowhow with Next.js, Flask, or Rust, • You’re a team player who likes to take responsibility, • You enjoy solving problems and like to keep things organized, • You’re curious, open to new ideas and enjoy learning, • You're comfortable communicating in both German and English, • A friendly and open-minded team that values collaboration and creativity, • Exciting AI projects with real impact, • Flexible hours and a hybrid working model, • Flat hierarchies and quick decision-making, • Opportunities for personal and professional growthSounds like your kind of challenge? We’d love to get to know you!

Agentic AI Engineer Location: Remote / Alexandria, VA Clearance: Eligibility to be cleared Are you ready to be part of a team that creates cutting-edge AI-powered analysis and simulation on-demand? At Whitespace, we use our Iris platform to uncover hidden relationships and patterns of life (POL) at machine speed, enhancing mission performance like never before. We are seeking a creative and proven Agentic AI Engineer to join our dynamic team and play a crucial role in unlocking the potential of our AI models. Someone who knows how to make AI systems that do more than just generate text — they make them take action. This role focuses on building intelligent, tool-using agents that can navigate complex technical environments, identify problems, and reason about remediation paths. You will be part of a small, high-caliber team solving hard problems at the intersection of machine learning, systems, and national security. At Whitespace, we are redefining national security by pushing the limits of what is possible—leveraging AI-powered, data-driven innovation to stay ahead of tomorrow's threats. If you are passionate about making a difference in the world and being part of groundbreaking technology in national security, this position is for you! This position is 100% remote for candidates that are not located within fifty miles of the corporate office. This role requires approximately 10% travel. Remote employees will be required to travel to the corporate office in Alexandria, VA at least twice a year. This position will report directly to the Product Manager. The candidate must be a U.S. citizen and reside in the contiguous United States. You will be a W-2 employee of GeoDelphi, Inc., and we do not accept third-party applications. RESPONSIBILITIES • Architect, develop, and deploy advanced autonomous AI agents tailored for cybersecurity applications., • Define and implement intelligent agent systems capable of real-time decision-making and adaptive threat responses., • Collaborate cross-functionally with product managers, engineers, and analysts to translate innovative concepts into robust solutions., • Mentor and guide engineering teams on best practices in developing agent-based AI solutions., • Continuously evaluate, test, and enhance the capabilities and performance of agentic systems within Whitespace’s ecosystem., • Drive technical excellence and promote engineering best practices within the AI team. EXPERIENCE • A bachelor's or master’s degree in Computer Science, AI, Machine Learning, or a related field with at least 5 years of related experience. Will consider experience in lieu of a degree., • Strong proficiency in Python, with experience in relevant libraries, frameworks, and technologies such as FastAPI, asyncio, and PyTorch., • Proven experience developing in Python and deploying robust AI/ML solutions, with specific expertise in autonomous agents., • Direct experience integrating generative AI models (OpenAI, Anthropic, Google Gemini, LLaMA) into practical agentic systems., • Demonstrated ability to design scalable, distributed systems and cloud-native architectures., • Extensive experience in prompt engineering and fine tuning LLM models, • Ability to design and implement agentic frameworks and architectures., • Knowledge of techniques for grounding generative models with external knowledge sources (e.g., retrieval-augmented generation, Knowledge graphs, etc.), • Familiarity with MLOps principles and tools for model deployment and monitoring, • Understanding of the security implications and mitigation strategies for generative AI and agentic systems., • Excellent collaboration, mentorship, and communication skills, enabling you to collaborate effectively with distributed teams., • Familiarity with Cloud Computing Platforms, • Medical, Dental, and Vision plans, • Unlimited PTO, • Federal Holiday Paid Leave, • 12 weeks of paid Parental Leave, • Employer paid STD/LTD, • Employer Paid Life Insurance, • 401K plan and Employer Match, • Professional Development Assistance GeoDelphi, Inc. dba Whitespace is building AI solutions for global leaders. Recognized as the most innovative company in the Geospatial Industry, Whitespace exponentially accelerates speed-to-answer with powerful analytics, high-cadence data feeds, and human expert-machine teaming. Our answers are rooted in truth data about human activity, delivering reliable decision advantage that keeps pace with world events. Whitespace is headquartered in Alexandria, Virginia. For further information, visit: ___. GeoDelphi, Inc. is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, pregnancy, gender identity, national origin, disability, or Veteran status.

Who we are: Alignable is the largest online network of small business owners in North America, with over 10 million members. Our mission is to help entrepreneurs turn their relationships into a growth engine for their business. We're embarking on an exciting new chapter: transforming Alignable into the first relationship intelligence platform purpose-built for SMBs. Our vision is to become the system of record for SMB relationship data, using AI to help our members unlock new customers and opportunities through trusted referrals and warm introductions. At the center of this vision is our AI Networking Coach: an intelligent recommendation engine that continuously analyzes a member’s network and activity to surface the most valuable connections and actions. By turning relationships into actionable insights, Alignable empowers business owners to unlock the full potential of their professional networks and grow their businesses with confidence. If you're excited about the opportunity to shape the future of AI-powered products for millions of small businesses, we would love to hear from you. Why this role matters: As a Senior Product Manager at Alignable, you will be at the forefront of our AI transformation. Your work will shape how millions of small business owners leverage AI to connect, build relationships, and grow their businesses in the digital age. We're looking for a PM who has already been hands-on in leveraging AI to build innovative products. You've used tools like LLMs and code generation in your product work and understand deeply how the rapid evolution of AI is reshaping software development. In close collaboration with Product Design, Engineering, and Data Science, you will focus on infusing AI across our core offerings - from smart networking recommendations to conversational coaches to generative content creation. Your goal is to harness AI to deepen member engagement, satisfaction, and business growth. • Define the vision, strategy, and roadmap for AI-driven product initiatives in partnership with Product Design, Engineering, and Data Science, • Develop and launch AI-powered features in areas like intelligent recommendations, conversational AI, and content generation, • Collaborate with Product Design to craft intuitive, engaging user experiences that seamlessly integrate AI, • Partner with Data Science to productize AI/ML models using our stack (Python, TensorFlow, PyTorch, etc.), • Leverage LLMs, code generation, and emerging AI technologies to rapidly prototype and launch new capabilities, • Design experiments and interpret data to quantify the impact of AI products and drive iteration, • Influence key stakeholders across Product, Marketing, Sales, and Customer Success to align on AI priorities, • Evangelize AI best practices and contribute to thought leadership, • Champion responsible AI practices around transparency, fairness, privacy, and ethics, • Successful launch of AI-powered products that demonstrably improve engagement, revenue, and other key metrics, • Seamless integration of AI into core platform experiences, • Productive relationships with technical and non-technical partners, • Tangible contributions to Alignable's evolution into an AI-first organization, • Emerging thought leadership in AI product development for SMBs, • 5+ years of product management experience, with 2+ years building AI/ML-driven products preferred, • Hands-on experience leveraging LLMs, code generation, and productizing ML models, • Understanding of the evolving AI/ML landscape and its implications for product development, • Track record of launching successful 0-to-1 products, • Strong technical fluency and ability to partner effectively with AI/ML and Engineering teams, • Excellent analytical skills and experience with experiment-driven product development, • Entrepreneurial mindset and comfort with ambiguity, • Passion for helping small businesses succeed through technology, • Impact & Mission: Help millions of small businesses grow through trusted relationships while owning a pivotal moment in Alignable’s evolution toward AI-powered, product-led sales., • Team & Environment: Partner with a founder-led, cross-functional leadership team with deep experience in SMB, SaaS, and growth-driven businesses., • Compensation & Benefits: Competitive salary, meaningful equity, flexible work, comprehensive benefits, and long-term ownership upside.

Sr. Engineering Manager, AI/ML Serving Platform The AI/ML Serving Platform team provides foundational tools and infrastructure used by hundreds of AI/ML engineers across Pinterest, including recommendations, ads, visual search, growth/notifications, trust and safety. We aim to ensure that AI/ML systems are efficient, healthy (production-grade quality) and fast (for modelers to iterate upon). Pinterest is seeking a Sr. Engineering Manager to lead the team that builds the serving and deployment infrastructure for all AI/ML models at Pinterest. Systems include: • Ultra-high-performance C++ model inference engine for production recommendations and content ranking systems. TorchScript + CUDA Graph models on GPU inference, serving 500+M inferences/second., • Production GenAI & LLM model inference stack for emerging use cases., • Model routing, deployment, monitoring. Kubernetes-based provisioning., • Feature fetching, caching, and logging What you’ll do • Lead the team to deliver continual improvements in advanced model architectures, cost-efficient resource utilization, and AI/ML developer productivity., • Set technical direction for the team based on company and org priorities, • Coach and develop talent on the team. What we’re looking for: • Experience managing platform engineering teams with many cross-organizational customers, • Experience leading the development of large-scale distributed serving systems, • Experience with AI/ML inference technologies (e.g. PyTorch, TensorFlow) for online serving at Web scale, • Bachelor’s degree in Computer Science, a related field or equivalent experience. In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection., • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement: • This position is not eligible for relocation assistance. Visit our___ page to learn more about our working model. #LI-REMOTE #LI-AH2

Figma is growing our team of passionate people on a mission to make design accessible to all. ___, Figma helps entire product teams ___, design and build better products — from start to finish. Whether it’s consolidating tools, simplifying workflows, or collaborating across teams and time zones, Figma makes the design process faster, more efficient, and fun while keeping everyone on the same page. From great products to long-lasting companies, we believe that nothing great is made alone—come ___ with us! Figma is seeking a versatile and experienced Machine Learning / AI Engineer to join our growing AI team, working at the intersection of applied machine learning, infrastructure, and product innovation. Whether you’re building intelligent search systems, crafting scalable data pipelines, or enhancing AI-powered creativity tools, your work will drive user productivity, shape new product experiences, and advance the state of AI at Figma. You’ll collaborate closely with engineers, researchers, designers, and product managers across multiple teams to deliver high-quality ML-driven features and infrastructure. This is a high-impact, cross-functional role where you’ll shape both foundational systems and user-facing capabilities. This is a full time role that can be held from one of our US hubs or remotely in the United States. • Design, build, and productionize ML models for Search, Discovery, Ranking, Retrieval-Augmented Generation (RAG), and generative AI features., • Build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows., • Collaborate with AI researchers to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance., • Work with product engineers to define and deliver impactful AI features across Figma’s platform., • Partner with infrastructure engineers to develop and optimize systems for training, inference, monitoring, and deployment., • Explore new ideas at the edge of what’s technically possible and help shape the long-term AI vision at Figma., • 5+ years of industry experience in software engineering, with 3+ years focused on applied machine learning or AI., • Strong experience with end-to-end ML model development, including training, evaluation, deployment, and monitoring., • Proficiency in Python and familiarity with ML libraries like PyTorch, TensorFlow, Scikit-learn, Spark MLlib, or XGBoost., • Experience designing and building scalable data and annotation pipelines, as well as evaluation systems for AI model quality., • Experience mentoring or leading others and contributing to a culture of technical excellence and innovation., • Familiarity with search relevance, ranking, NLP, or RAG systems., • Experience with AI infrastructure and MLOps, including observability, CI/CD, and automation for ML workflows., • Experience working on creative or design-focused ML applications., • Knowledge of additional languages such as C++ or Go is a plus, but not required., • A product mindset with the ability to tie technical work to user outcomes and business impact., • Strong collaboration and communication skills, especially when working across functions (engineering, product, research). At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information. Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future. Annual Base Salary Range (SF/NY Hub): $149,000 - $350,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an ___ - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to ___. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: • Holding interviews in an accessible location, • Enabling closed captioning on video conferencing, • Ensuring all written communication be compatible with screen readers, • Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with ___.

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other highstakes legal work where accuracy, trust, and defensibility are essential. Relativity aiR is redefining document review through agentic AI systems that reason, cite their decisions, and scale across millions of documents. These systems automate complex legal workflows while keeping humans in the loop, enabling legal professionals to focus on what matters most. WHAT WE DO At Relativity, we are building a worldclass Applied Science organization focused on pushing the boundaries of intelligent systems in one of the most demanding and consequential domains: the legal system. Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We are responsible for designing, validating, and operating the intelligent systems behind Relativity aiR. Our work goes far beyond simple model integrations. We build agentic systems that reason over documents, validate decisions statistically, remain auditable and defensible, and operate reliably at massive scale. Trust, reliability, and responsibility are foundational to everything we build. Our team values curiosity, experimentation, rigor, and collaboration. We move quickly, validate assumptions with evidence, and simplify aggressively to deliver systems that are safe, reliable, and impactful in production. Job Description and Requirements ABOUT THE ROLE As a Principal Applied Scientist, Reliability, you will lead the design and validation of intelligent systems that customers can trust in highstakes legal workflows. You will operate endtoend: understanding the problem space, designing solutions, validating them statistically, and bringing them to production in partnership with engineering, product, and customerfacing teams. This role is ideal for an experienced applied scientist who thrives at the intersection of modeling, experimentation, and realworld system reliability, and who is motivated by building AI systems that are not only powerful, but also defensible, interpretable, and safe by design. WHAT YOU'LL DO • Write productionquality code that solves real customer problems and scales cleanly, with systems designed to be easy to ship, operate, and maintain, • Collaborate closely with fellow Applied Scientists as well as Engineers, Product Managers, Designers, and Customers, • Design and execute statistically sound experiments and automate them into reusable benchmarks and evaluation frameworks, • Rapidly prototype AI and MLpowered solutions and mature them into reliable, scalable production models, • Select the appropriate modeling approach for each problem, ranging from classical machine learning techniques to frontier large language models, • Validate model behavior rigorously using evidence, metrics, and experimentation, remaining open to changing course when the data demands it, • Contribute to building intelligent systems that reason, cite their decisions, and operate defensibly at scale, • Help push the boundaries of agentic AI while ensuring systems remain auditable, reliable, and responsible WHAT WE'RE LOOKING FOR • 8+ years of professional experience in applied science, machine learning, or a closely related field, • Master's or Ph.D. in Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline, or equivalent professional experience, • Proven ability to move quickly from prototype to production, simplifying complex ideas into robust systems, • Experience reading, validating, and applying research with a healthy level of skepticism, • Experience across a wide range of modeling techniques, from classical machine learning to largescale generative models, • Familiarity with modern MLOps tooling and practices, including containers, workflow orchestration, deployment patterns, telemetry, and experimentation systems, • Strong Python programming skills and experience with common data and ML libraries such as numpy, PyTorch, scikitlearn, and PySpark, • Strong communication skills, with the ability to explain complex technical concepts clearly to both technical and nontechnical audiences, • Endtoend ownership mindset, with the ability to understand new problem spaces, design solutions, and bring them to market alongside engineering, product, and support partners, • A collaborative, curious, and adaptable approach, with comfort leading, questioning assumptions, and learning from failure WHY WE COULD BE A GREAT FIT HighImpact Problems • Competitive compensation, health and retirement programs, discretionary time off (DTO), parental leave for primary and secondary caregivers, companywide breaks, wellness resources, and an equity program. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $224,000 and $336,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Algorithms, Data Analysis, Machine Learning (ML), Natural Language, Python (Programming Language), Reinforcement Learning, Researching, Scientific Writing, Statistical Models, Technical Leadership

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective. With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments. As a Senior Software Engineer at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to the products and direction of the company. Our customers use Chariot, our flagship product, to develop, deploy, and maintain production ML models. We’re looking for exemplary engineers with a product mindset who can write quality code in Go and Python and who ultimately want to be core contributors to the direction of the company. You’re right for this challenge if you value and possess technical expertise, if you push the boundaries of your own capabilities, and if you are outcome driven, not requirements driven. We’re looking for people who are excited about our central development themes: • Everything as Code, • Cloud-neutral development, • User-centric design, • Hexagonal, event-driven, microservices architecture, • Optimizing, deploying, and refining AI models and algorithms This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results. Here’s what else we’re looking for: • 6–8 years of hands-on development experience, • Excellence in Go, C++ (17 or higher), Java (11 or higher), C# (9 or higher), or Rust, • Strong background in relational database design, architecture, operation, and performance, • Proficiency in Python, • Experience with DevOps tooling: CI/CD tools, Git, Docker, Kubernetes, • Proven experience with cloud architecture: commercial cloud, OpenStack, • Experience in the design and development of performant, scalable services, • Ability to work cross-functionally and participate in or lead design discussions, • Ability to independently lead the software development life cycle, from collaborating with product teams on requirements to executing technical design, implementation, and deployment, • Experience in knowledge sharing, mentoring, and coaching (e.g., onboarding, code reviews, leading junior engineers), • Strong understanding of software development principles, such as object-oriented programming, design patterns, documentation, and agile methodologies, • Driven, self-directed personality, • Strong sense of mission and commitment to making a difference, • Bachelor’s degree in CS or related field, or similar experience, • Due to the nature of this role, candidates must be a US person (a US citizen, a US national, or a Green Card holder) We’re very interested in developers who possess the above qualifications, and we heavily appreciate and consider the addition of: • Professional experience designing Postgres databases and optimizing query performance on them, • Familiarity with non-relational database design and architecture, • Understanding of synchronous/asynchronous programming and concurrency, • Comfort with integration of deep learning libraries (e.g., PyTorch, TensorFlow), • Experience designing RESTful, gRPC, or GraphQL APIs, • Understanding of networked and distributed computing, • Knowledge of messaging systems (e.g., NATS, Kafka, RabbitMQ), • Experience with workflow automation The anticipated base pay range for this position is $160,000 to $200,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses. • Medical/dental/vision insurance, • Voluntary life, long-term disability, accident, and hospital indemnity insurance, • HSA and FSA (including dependent care FSA) plans, • 401(k) plan, • Unlimited PTO, • Paid parental leave Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind. If you require assistance or a reasonable accommodation in the application process, please contact Operations at . Striveworks is a participating employer in the E-Verify program.

About Stack: Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands. About the Role: The ML Training Acceleration team is dedicated to increasing Stack AV's product development velocity by accelerating machine learning iterations. Our core mission is to deliver a training system that is reliable, scalable, user-friendly and observable. This involves profiling, optimizing, and fine-tuning our ML models, as well as evangelizing best practices and frameworks among Machine Learning Engineers (MLEs) across the company. Responsibilities: • Analyze ML models to identify and resolve performance bottlenecks., • Incorporate OSS tools to enable ML engineers self-sufficiently profile and optimize models., • Deliver solutions to streamline model deployment across various hardware platforms., • Collaborate with ML researchers to balance model accuracy and speed., • Implement optimizations using CUDA, Triton, and custom kernels., • Promote Engineering Excellence: Maintain a high bar for engineering excellence in their own work but also set a culture of engineering excellence within the team. Qualifications: • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, • Experience: 5+ years of experience (including experience with GPU programming and optimization), • Technical Skills:, • Strong programming skills in C++ and Python, • Proven experience in GPU programming and optimization, • Familiarity with deep learning frameworks, especially PyTorch, • CUDA programming, • Triton language for GPU kernels, • PyTorch optimization techniques, • TensorRT implementation, • ONNX model conversion and deployment, • Custom GPU kernel development, • Deep understanding of GPU architectures and performance optimization, • Problem-Solving: Strong analytical and problem-solving skills, • Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders, • Autonomous vehicles (AV) experience is a bonus We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity. Check out our ___ Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV’s ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate’s residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate’s residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate’s application.

Job Description At Commure, our mission is to simplify healthcare. We have bold ambitions to reimagine the healthcare experience, setting a new standard for how care is delivered and experienced across the industry. Our growing suite of AI solutions spans ambient AI clinical documentation, provider copilots, autonomous coding, revenue cycle management and more — all designed for providers & administrators to focus on what matters most: providing care. Healthcare is a $4.5 trillion industry with more than $500 billion spent annually on administrative costs, and Commure is at the heart of transforming it. We power over 500,000 clinicians across hundreds of care sites nationwide – more than $10 billion flows through our systems and we support over 100 million patient interactions. With new product launches on the horizon, expansion into additional care segments, and a bold vision to tackle healthcare's most pressing challenges, our ambition is to move from upstart innovator to the industry standard over the next few years. Commure was recently named to Fortune’s Future 50 list for 2025 and is backed by world-class investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital, Elad Gil, and more. Commure has achieved over 300% year-over-year growth for the past two years and this is only the beginning. Healthcare's moment for AI-powered transformation is here, and we're building the technology to power it. Come join us in shaping the future of healthcare. About the Role At Commure, our Ambient Agents team is at the forefront of revolutionizing healthcare technology by building Agents that automate core components of healthcare workflows. We're looking for talented engineers to scale our agent stack to the next level. If you love working on important, exciting problems in healthcare and love shipping quickly, come join us! What You’ll do * Work closely with engineering teams to tackle a wide variety of technical challenges in building efficient and scalable software, delivering quality features and a great customer experience * Lead the design, development, deployment, and iterations of complex features, collaborating with engineers, Product Managers, UX designers, and leadership * Enhance and evolve Commure’s product architecture * Work closely with cross-functional teams to understand customer pain points and identify, prioritize, and implement maintainable solutions * Promote product development best practices, supportability, and code quality, both through leading by example and through mentoring other software engineers * Keep current with emerging industry trends and technology to inform leadership and the Product Team What You Have * B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience * 4+ years of experience in shipping enterprise-grade software products * Experience leading complex projects from start to finish and across multiple release cycles, including conceptualization, product integration, deployment, monitoring, and upgrade * Ability to write readable, testable, and supportable code in JavaScript, TypeScript, Node.js (Express) * Experience with LLM applications and RAG tooling (Gemini, GPT, VectorDB etc.) * Ability to collaborate with Product Management to clarify requirements, scope work, and drive product deliverables * Advanced understanding of DevOps practices and technologies (Docker, Kubernetes, CI / CD, release management) * Experience with security tooling in SDLC and Security by Design principles Qualifications (Bonus): * Experience with speech and dialog technologies (ASR, TTS, telephony) * Experience with event driven architecture/technologies (RabbitMQ, Kafka, BullMQ, etc) * Experience with ML and AI training frameworks (PyTorch, TensorFlow, etc.) * Experience with Nodejs build systems (rush, nx, vite, etc.) * Experience in health tech * Experience working at a startup Commure is committed to creating and fostering a diverse team. We are open to all backgrounds and levels of experience, and believe that great people can always find a place. We are committed to providing reasonable accommodations to all applicants throughout the application process. Please be aware that all official communication from us will come exclusively from email addresses ending in @getathelas.com, @commure.com or @augmedix.com. Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $170K - $240K

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

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

Job DescriptionCareer Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis. Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities. About the Role We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows. Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges Explore image representation in latent space for efficient, high-fidelity virtual staining Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap Collaboration Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches Required Qualifications PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising Expert proficiency in Python and PyTorch and other scientific computing environments a plus Strong mathematical foundation in linear algebra, probability, and optimization Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure) Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles Experience with feature search, data balancing, and data curation pipelines. Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment Extensive use of AI tools for coding, optimization, and ideation Preferred Qualifications Experience with medical imaging, digital pathology, or whole slide image (WSI) processing Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem Background in generative models and fine-tuning of foundation models Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton Experience with hosting computer vision model inference on NVIDIA DGX Spark. Understanding of FDA regulatory requirements for AI/ML in medical devices Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility What We Offer The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.

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

Job Description Delivers integrated, intelligent systems using our 3D, Define–Design–Deliver, philosophy. The Systems Principal Automation Engineer (Principal Engineer) serves as the senior-most technical authority for software architecture, advanced controls, artificial intelligence and machine-learning systems, SCADA/HMI platforms, machine vision, and high reliability industrial automation in Systems Operations. This position operates with minimal guidance from leadership and establishes technical direction across multidisciplinary engineering teams. Task assignments, project schedules, and backlog priorities are directed through the Engineering Services Manager or delegated Systems Operations technical leadership (Proposal Manager, Engineering Manager, and Automation Lead). The Principal Engineer is expected to self?manage execution of these tasks with minimal oversight, driving technical quality, architecture decisions, and integration outcomes across Systems Operations. RESPONSIBILITIES: Engineering: • The Principal Engineer will be assigned programming needs for production backlog and development projects., • Architect and develop advanced software systems supporting automation, motion control, machine vision, SCADA, safety systems, and distributed industrial operations., • Architect SCADA/HMI systems for live visualization, diagnostics, alarms, and remote operations., • Develop classical and deep learning machines and vision applications using OpenCV or HALCON with custom neural networks or pipelines., • Oversee dataset design, labeling workflows, training pipelines, and model validation/testing., • Integrate edge AI hardware and accelerators or embedded inference engines., • Design and validate real-time controls integrations across PLCs, CNCs, motion controllers, and industrial network systems., • Develop industrial communication handshakes in Modbus TCP, OPC-UA, TCP/IP, Serial, or other fieldbus protocols., • Ensure compliance with UL, CE, and NFPA standards governing safety and controls engineering., • Lead development of machine-learning models for inspection, anomaly detection, automation optimization, and predictive intelligence within Systems Operations., • Design operator interfaces using WinForms, WPF, .NET, and industrial panel platforms., • Author and enforce software architecture standards, reusable libraries, modular frameworks, and support strategies., • Utilize Azure DevOps for task assignments, backlog execution, tracking, code review, and revision control across projects., • Other projects and tasks assigned by the company from time to time. Project Engineering: • Work in and foster a team environment with other engineers, production, QA, test, materials control, contract management, and sales personnel., • Support and develop new software under direction of management., • Prepare interface and functionality documentation for software modules., • Develop and report on project plans and schedules for software development work., • Prepare detailed engineering release documents and compliance documents. Software and Controls Development:, • Analyze and recommend improvements to our present software development and design control methodology., • Mentor software and controls engineers on architecture, design patterns, and quality standards., • Guide the team in adoption of emerging automation and AI technologies. POSITION REQUIREMENTS: • Expert-level C# and .NET development experience., • Proven ability to integrate using industrial communication protocols., • Ability to interpret electrical, pneumatic, and mechanical drawings to support software and controls design., • Exceptional communication skills: this role will be communicating daily with internal and external customers across multiple disciplines., • Routine adjustment of working hours to support remote login of our worldwide customer base., • Ability to travel occasionally. EDUCATION & EXPERIENCE: • Four-year degree in STEM degree or related discipline o Master’s or PhD preferred., • 10+ years in complex software architecture, automation systems, and controls engineering., • 5+ years’ experience in machine vision and AI/ML development., • Project management training or certification (e.g., PMI, Agile) preferred. OTHER QUALIFICATIONS: • Attention to detail and being flexible to manage multiple tasks independently., • Excellent verbal and written communication skills., • Exceptional organization and time management skills., • Proven ability to meet deadlines while performing task accurately., • Initiative-taking with a keen sense of ownership in all areas of responsibility.

Job Description Location: Los Angeles, CA Our client is a distinguished global provider of legal services. This is a full-time, direct hire onsite role requiring US Citizenship or Green Card. We are seeking a Legal Practice Technology Data Scientist. This position can be in San Francisco, Los Angeles, Boston, Chicago, or New York – relocation assistance is not offered. If you have spent your career in eDiscovery and litigation support and are ready to apply that foundation, along with a broader technical skill set, to a wider scope of work, this could be the role for you. Data Scientists sit within a group of discovery, data management, and AI specialists dedicated to designing and executing client-focused workflows on some of the most complex matters in our industry. You will report to the Associate Director of Technical Operations. The role is hands-on and client-facing; more than half of your time will be spent directly embedded in active matters. This position sits within the firm’s Innovation Program. Our client upholds strict performance standards and fosters a culture focused on continuous growth. Individuals who exhibit initiative and dedication will be offered opportunities for increased responsibilities and long-term professional advancement within the organization. Must be a U.S. Citizen or Green Card holder – sponsorship is not available Desired Qualifications and Experience: • Bachelor’s degree, • 3+ years of experience in a law firm, legal services, or professional services organization with significant experience working in a team environment., • Ability to translate complex concepts into client-friendly language., • Highly analytical with strong problem-solving skills and the ability to translate ambiguous problems into structured solutions., • Knowledge of statistical analysis and data modeling., • Demonstrated hands-on experience with Relativity custom development. Deep knowledge in eDiscovery-focused data processing, structured analytics, and related troubleshooting., • Expert-level proficiency in Microsoft Excel, including VBA development, Power Query, complex formula construction, advanced data modeling, and chart design., • Experience in creating data visualizations with hands-on proficiency in tools such as Plotly, Tableau, and Microsoft Power BI., • Strong Python skills for data analysis, statistical modeling, and AI/ML prototyping (e.g., pandas, PyTorch, TensorFlow); advanced SQL proficiency; experience building data pipelines., • Proficiency in front-end web technologies including JavaScript, HTML, and CSS, with the ability to develop interactive web-based tools and dashboards., • Hands-on experience with AI platforms and tools (e.g., OpenAI, Microsoft Azure OpenAI, Hugging Face, LangFlow, LangChain), including practical implementation of RAG pipelines, vector databases, and knowledge graph construction., • General knowledge of social network analysis, natural language processing, classification algorithms, and image processing., • Familiarity with git, svn, JIRA, or other version control technologies., • Familiarity with hardware platforms (e.g., CPUs, GPUs, FPGAs)., • Familiarity with leading legal technology platforms is preferred (docketing systems, document management systems, case management systems, eDiscovery, data collection and web capture solutions)., • Experience evaluating LLM output quality through benchmarking, precision, recall, and extraction accuracy assessment is preferred. Summary of Responsibilities: Coordination and Execution of In-house Solution Development. You will support the collection of requirements and the design and building of in-house solutions. You will consult with case teams on data strategies and execute rapid solution development including custom scripting, data management, database development, and visualization design. You will complete requests requiring advanced technologies such as document layout analysis, LLM-based information extraction, semantic chunking, and entity recognition, while maintaining comprehensive documentation throughout. Data Project Service Delivery. You will support matter-specific needs as a subject matter resource, analyzing and troubleshooting data processing and analytics issues. You will develop custom eDiscovery workflows and execute data-heavy, data-modeling projects that require creative problem-solving and technical depth. Department Initiatives. You will work closely with other data science teams and Legal Practice Technology (“LPT”) leadership to evaluate and test internal solutions and emerging technology. You will serve as a go-to resource for technical knowledge in AI, contributing your expertise to the team’s continuous advancement of its capabilities. How to Apply: Our client has hired us to help facilitate the initial interview and recruiting process. Please attach your current version of your resume and make sure you complete our initial pre-screening questions that will be used for determining which applicants will be considered at this time. Thank you for your interest. Company DescriptionWe Place People is a premiere Executive Search Firm working with leading companies nationwide. We have a direct relationship with our clients and a 95% hire rate! We differentiate ourselves from other firms & work closely with our candidates throughout the interview process. WE PLACE PEOPLE is what we do best!We Place People is a premiere Executive Search Firm working with leading companies nationwide. We have a direct relationship with our clients and a 95% hire rate! We differentiate ourselves from other firms & work closely with our candidates throughout the interview process. WE PLACE PEOPLE is what we do best!

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

Job Description Cloud Data & AI Architect – Enterprise Platforms Location: US / Canada (Remote/Hybrid) Type: Contract / Full-Time Overview: We are seeking a Cloud Data & AI Architect to lead the design and delivery of enterprise-scale data and AI platforms. This role focuses on building scalable cloud ecosystems that enable advanced analytics and AI-driven innovation. Key Responsibilities: • Architect and implement modern cloud data and AI platforms, • Define architecture standards, governance models, and best practices, • Collaborate with cross-functional teams to deliver scalable solutions, • Strong experience in cloud architecture (AWS, Azure, GCP), • Expertise in designing large-scale data platforms, • Data Engineering: Databricks, Snowflake, Azure Synapse, BigQuery, • ML/AI Engineering: Python, PyTorch, MLOps frameworks, • GenAI & Agentic AI: Experience with LangChain and LLM-based systems