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City/State Virginia Beach, VA Work Shift Multiple shifts available Overview: Sentara is hiring a Senior MLOps & Generative AI Engineer! This position is fully remote! Candidates must reside in one of the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, West Virginia, Wisconsin, or Wyoming. Overview We are seeking a highly skilled and experienced Senior MLOps & Generative AI Engineer to join our growing AI organization and help advance current and future initiatives applying machine learning, deep learning, NLP, and Generative AI technologies to improve healthcare outcomes and operational excellence. This role combines two critical focus areas: MLOps Engineering - building and scaling enterprise-grade ML infrastructure, deployment pipelines, observability, governance, and automation capabilities. Generative AI Engineering - designing, architecting, deploying, and optimizing secure, production-ready GenAI applications and platforms leveraging LLMs, RAG architectures, vector databases, prompt orchestration, and AI evaluation frameworks. As a Senior Engineer, you will partner closely with AI Scientists, Data Engineers, Software Engineers, Architects, and Product teams to operationalize AI/ML and Generative AI solutions at enterprise scale. You will play a key role in shaping the organization's AI platform strategy, driving best practices, and delivering scalable, secure, and reliable AI systems in production healthcare environments. Key Responsibilities MLOps Engineering Responsibilities Design, build, and maintain scalable ML infrastructure and pipelines supporting model training, deployment, monitoring, governance, and lifecycle management. Develop and optimize CI/CD pipelines for machine learning and AI workloads across development, staging, and production environments. Build reusable ML platform capabilities including feature stores, model registries, experimentation frameworks, artifact management, and deployment automation. Implement scalable orchestration and workflow solutions for batch and real-time ML inference workloads. Create robust monitoring systems to measure model performance, detect model drift, monitor data quality, and ensure production reliability. Develop automation tools and self-service capabilities to improve the efficiency, scalability, and reliability of MLOps processes. Collaborate with Data Scientists and Software Engineers to streamline the ML lifecycle from experimentation through enterprise production deployment. Apply software engineering best practices to AI/ML systems including testing, observability, resiliency, security, versioning, and infrastructure-as-code. Identify gaps and improvement opportunities within the organization's ML platform ecosystem and architect scalable solutions to address them. Support enterprise AI governance, compliance, auditability, and model risk management requirements. Ensure platform scalability, reliability, security, and operational excellence across AI/ML systems. Generative AI Engineering Responsibilities Lead the architecture, design, and deployment of enterprise Generative AI solutions leveraging LLMs, foundation models, and agentic AI systems. Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, semantic search, reranking, and retrieval optimization strategies. Build scalable LLM orchestration frameworks using technologies such as LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks. Develop advanced prompt engineering strategies, prompt chaining, context management, and agent workflows to improve LLM accuracy and reliability. Evaluate and implement fine-tuning, parameter-efficient tuning, and prompt-based optimization approaches for domain-specific use cases. Build AI evaluation and benchmarking frameworks to measure hallucination rates, response quality, grounding accuracy, toxicity, bias, latency, and business performance metrics. Implement AI safety guardrails, governance controls, content filtering, and responsible AI practices for enterprise healthcare environments. Design scalable GenAI APIs and microservices supporting high-throughput enterprise AI applications. Optimize GenAI systems for cost, latency, throughput, and inference performance across cloud and hybrid environments. Integrate enterprise data sources, healthcare systems, and knowledge repositories into secure GenAI workflows. Research and evaluate emerging GenAI technologies, open-source frameworks, and foundation models to drive innovation and continuous improvement. Develop architecture diagrams, technical roadmaps, implementation strategies, and executive-level documentation for enterprise AI initiatives. Collaborate with cybersecurity, compliance, and infrastructure teams to ensure secure and compliant deployment of GenAI solutions involving PHI and sensitive healthcare data. Contribute to the development of AI platform standards, reusable GenAI accelerators, templates, and engineering best practices. Required Qualifications 5+ years of experience building and deploying production software, ML systems, or AI platforms. 1+ years of hands-on experience building production Generative AI or LLM-based applications. Strong programming skills in Python and experience with software engineering best practices. Experience with major deep learning and LLM frameworks such as PyTorch, Hugging Face Transformers, TensorFlow, or equivalent. Hands-on experience implementing RAG architectures, vector search, embeddings, prompt engineering, and LLM orchestration frameworks. Experience with vector databases such as Pinecone, Weaviate, Chroma, FAISS, Milvus, or equivalent technologies. Experience deploying AI/ML systems in cloud environments including AWS, Azure, or GCP. Strong understanding of APIs, distributed systems, microservices, and scalable backend architectures. Experience with Kubernetes, containerization, orchestration, and cloud-native infrastructure. Experience implementing CI/CD pipelines, infrastructure automation, and MLOps best practices. Experience building monitoring, observability, and alerting solutions for ML and AI systems. Strong understanding of AI/ML lifecycle management, governance, model versioning, and production operations. Experience designing secure, scalable, production-ready AI platforms and services. Strong communication and collaboration skills with the ability to work across technical and business teams. Preferred Qualifications Previous experience implementing Generative AI and MLOps solutions within healthcare environments. Experience working with EPIC or healthcare interoperability platforms. Understanding of HIPAA, PHI handling, healthcare compliance, and responsible AI practices. Experience with AI governance frameworks, LLM evaluation methodologies, and AI safety tooling. Experience with GPU infrastructure optimization and scalable inference architectures. Familiarity with multi-agent AI systems and autonomous workflows. Experience with event-driven architectures, streaming pipelines, and real-time inference systems. Exposure to model fine-tuning techniques including LoRA, PEFT, RLHF, or domain adaptation strategies. Experience with enterprise AI platform architecture and internal developer platforms. Prior experience mentoring engineers and leading technical initiatives. Education 5+ years of relevant experience with a degree (Required) or 7+ years of relevant experience without a degree (Required) Experience in lieu of Bachelor's Degree. Certification/Licensure No specific certification or licensure requirements Experience 5 to 7 years of relevant experience We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full Time employment is: $91,416.00 - $152,380.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development •Pet Insurance •Legal Resources Plan . click apply for full job details

GIS & Data Specialist 1 Montgomery & Associates (M&A) is seeking a GIS & Data Specialist to join our growing team at our Tucson, Arizona, headquarters. This position will provide general, entry-level technical support to hydrologic projects, as well as assist with GIS data production and project deliverables including data compilation, data management and editing, data analysis, quality assurance, and cartographic services, which will be a priority. The GIS & Data Specialist 1 will also be part of an active team responsible for the implementation of web-based data applications and database management related to the company's custom data management system. This position is intended to be full-time, with flexibility that may allow for a reduced work week. We encourage you to apply if you have experience with ESRI's ArcGIS software products-including ArcGIS Pro-and online mapping and data collection applications. We're looking for a self-motivated professional capable of implementing existing cartographic styles, data management schemas, and workflows, as well as developing new solutions independently as needed to meet project needs. Responsibilities Specific responsibilities include: Develop report-quality maps in ArcGIS Pro and other data plots, using company style guidelines Create and manage geospatial datasets, geodatabases, and relational databases Coordinate with project teams regarding GIS requirements and deliverables Conduct geospatial data analysis for projects Provide support for M&A's custom data management system, including data entry and data management for projects Support mobile data collection activities using Esri field applications (Field Maps, Survey123) Create and maintain web-based maps and applications using ArcGIS Online and customized applications Use artistic judgment to select appropriate design and layout for each illustration Perform other related duties as assigned Qualifications Ability to render illustrations for client-facing deliverables Ability to accurately and consistently complete work on schedule and with minimal supervision Ability to communicate and function in a fast paced, team-oriented environment Sufficient understanding of science to successfully create illustrations related to groundwater hydrology Excellent interpersonal and organizational skills Good analytical and problem-solving skills Academic degree in GIS, computer science, or related discipline Fundamental knowledge of the principles, methods, and practical application of ESRI's ArcGIS software-including ArcGIS Pro-general geoprocessing functionality, geodatabases, and coordinate systems Good practical understanding of data management in relational and geospatial databases At M&A, our mission is to promote a fulfilling and respectful work culture where employees collaborate to deliver pragmatic water resource solutions grounded in the principles of integrity, scientific rigor, and environmental responsibility. We are independently owned by practicing scientists who are committed to these values and to supporting our community partners. Benefits include: Competitive benefits and salary in an expanding team-oriented company Dynamic work environment with technical training provided by the company Challenging and collaborative multidisciplinary projects On the job mentoring by senior professionals Medical, dental, vision insurance, flexible Spending Account, HRA Long- and short-term disability Life/AD&D insurance Vacation, holiday, personal, and sick leave Paid parental leave Employer matching 401k retirement plan We are an Equal Opportunity Employer. M&A values diversity and inclusivity. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, gender, gender identity, gender expression, age, sexual orientation, religious creed, physical or mental disability, medical condition, genetic information, marital status, veteran status, or any other classification protected by applicable federal, state, or local law. PI809cb003ee03-0007

Job Description Job Description Summary: PLEASE NOTE - This is NOT a technical role for a Data Analyst, Data Scientist or someone with an IT background. Candidates MUST have experience in the Market Data realm and be able to administer Market Data contracts. Please read the description before you apply The Market Data Analyst at S4 Market Data will oversee client projects and be responsible for the overall service delivery of our managed services with respective clients. This position will manage market data service inquiries and projects from clients as well as manage a market data administrator within the projects to ensure administrative tasks are being completed in an accurate and timely manner. The ideal candidate will have market data vendor management and administrative experience; sourcing and negotiating contracts, managing procurement/sourcing requests throughout the spend life cycle, speaking with internal business units and stakeholders (legal, finance, IT, etc.) to procure goods/services for our clients. The candidate needs to be located in the US, this is a fully remote position. Responsibilities: Handle day-to-day demand management or vendor management and administrative inquiries from internal business units, including but not limited to; data/sourcing requests, contract negotiation, entitlement administration, exchange reporting, moves/adds/changes requests, inventory management, procurement/legal approval, expense allocation, invoices reconciliation, and spend reporting. Interact with the client's various internal stakeholders and business units; technology, legal, accounting/finance, human resources, and investment managers. Oversee the inventory management process of leavers/joiners, ensure current inventory is accurate and up-to-date. Oversee the reconciliation invoices and validation of monthly allocations/expenses. Conduct monthly/quarterly exchange reporting and ensure exchange policies and data compliance across the client's end-users and applications. Administer their datafeeds (EMRS, DACS, Etc.) Review spend and enact cost savings and avoidance initiatives. Provide respective business units with an overview for their costs; understand their products/services and respond to any inquires as needed. Maintain reports on costs and identify ways to consolidate spend. Conducts regular internal team meetings to report on client SLA's and to ensure all client service deliverables are being met and completed. Qualifications: Bachelor's degree in MIS, Business, or related degree and 3-5 years of relevant experience in financial services or market data. Relevant work experience in consulting is preferred. Experience working with Market Data vendors such as Bloomberg, FactSet, Exchanges (NYSE, ICE, etc.). Knowledge of FITS and MDSL inventory systems is preferred. Excellent communication and project management skills and experience in working closely with internal client business units and senior stakeholders. An entrepreneurial and self-regulating mind-set. Display a high level of time management skills to manage multiple and elaborate requests simultaneously. Have high energy and be a self-starter with the ability to work independently and as part of a team. Powered by JazzHR ADeypxNYkv

Job Description Job Description About Us Senseye is a NeuroTechnology Company in Austin, TX on the cusp of revolutionizing Mental Health. Over the past 6 years we have invested millions of dollars in R&D to build our platform allowing us to measure cognitive activity via the eye through mobile phones. Through multiple iterations and use cases we are now focused on building the world's first Objective Mental Health Diagnostics on top of our core technology. Our first diagnostic is for PTSD and is entering clinical trials now, followed soon by additional indications for Anxiety and Depression. As the world struggles with a mental health crisis, it is not hyperbolic to suggest that an objective diagnostic platform, that gives clinicians a safe and objective accurate approach to identifying and monitoring mental health disease, will redefine how mental health services are provided and will enable access to treatment for hundreds of millions of sufferers. The Senseye platform has the potential to be the technology that drives this change. Role Description We are seeking a Research Data Analyst to join our team. This is an analysis-first role embedded with our data science and research personnel: you will design, run, and interpret analyses of experimental data across the full lifecycle of a research study. We use AI-assisted tools to help us write analysis code faster and better, but you need a solid grasp of coding and how the code works: as the human in the loop, you have the final say on what gets released and how it is analyzed, and spotting bugs and subtle mistakes is far easier for someone who genuinely understands the code than for someone who relies entirely on AI. You will co-create hypotheses with our senior scientists, own the execution of analyses, and provide the initial interpretation of results: the experimental logic, their validity, and what they actually mean. The signals we work with are small, so every detail matters. The ideal candidate is passionate about being part of an innovative research team, detail-oriented, adaptable, and motivated to grow. You will collaborate with our Research and Data Scientists and be involved in many aspects of our work, from experiment design through analysis and reporting. Responsibilities Plan and execute analyses of experimental data with support from our research and data science team: co-develop a clear hypothesis, specify expected outcomes, and select appropriate statistical methods before running the analysis. Use Python and AI-assisted coding tools to build analysis pipelines and statistical tests, critically reviewing generated code for correctness. Validate results end to end: check data quality, verify assumptions, spot anomalies and subtle errors, and trace unexpected results to their root cause. Interpret findings in the context of the experimental design, and be clear about what the results do and do not support. Present results of analyses to team members on an ongoing basis. Write clear, well-organized analysis reports documenting methods, results, and interpretation. Prepare, maintain, and update technical documentation. Attend weekly project meetings and collaborate closely with data science and research team members through study design, execution, analysis, and interpretation. Other duties and responsibilities may be assigned by research supervisors. Requirements Bachelor's degree in Neuroscience, Psychology, Computer Science, Statistics, Data Science, or a related quantitative or bioscience field. Working proficiency in Python and scientific computing libraries (e.g., NumPy, Pandas, Matplotlib) for data analysis and statistical work. A solid understanding of the research workflow: experimental design, hypothesis formulation, execution, analysis, and interpretation of results. The ability to critically evaluate analysis code and outputs - catching small errors matters, because the effects we measure are small. Strong attention to detail and a root-cause mindset: you don't stop at "this looks wrong" - you dig in and find out why. Clear written communication and the ability to produce readable reports of methods and findings. Motivation to learn and improve. You don't need to be an expert in any one field, but you should be eager to build on your skills. An outside-the-box mindset: we don't need a robot - we want someone willing to take risks, try new approaches, and push an analysis beyond what an AI prompt hands back, because you care to understand what's really going on. Nice to Have Master's degree in Computer Science, Statistics, Data Science, Neuroscience, Psychology, or a related field. Laboratory or human subjects research experience (academic lab, thesis project, internship, or publication). Experience with research statistics (e.g., parametric, nonparametric, or Bayesian statistics). Experience using AI coding assistants effectively - prompting, reviewing, and correcting generated code. Experience preparing manuscripts for publication. Benefits The freedom and trust to define your role as we design, build, and ship our products Competitive salary and stock option plan Flexible paid time off (vacation, sick leave, and public holidays) Flexible schedules Company health care plan Medical, dental, and vision insurance Short and long term disability insurance Life insurance policy 401k Commuter benefits for parking, public transit, carshares, etc. Mothers' room Fully stocked kitchen Opportunities for continuing education The compensation for this role is $65,000-$80,000 annually. Senseye is dedicated to building a community of employees that are diverse, passionate, and engaged. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, marital status, disability, or veteran status. When we're safe, healthy, and balanced we can accomplish phenomenal things together.

Job Description Job Description Founded in 2012, H2O.ai is on a mission to democratize AI. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI-secure, compliant, and infrastructure-flexible deployments-H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai's AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised 256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. For more information, visit . About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in San Francisco, Bay Area. What You Will Do Customer Engagement Leadership Lead end-to-end technical engagement with enterprise customers, acting as the senior point of accountability for delivery quality, stakeholder relationships, and outcomes. Manage multiple concurrent engagement streams simultaneously - coordinating workplans, resourcing, and milestones across cross-functional teams. Serve as the primary technical escalation point for customer issues, proactively identifying risks and driving resolution across engineering, product, and leadership. Build and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders - translating business needs into technical direction and back again. Lead pre-sales and proof-of-concept engagements, setting the technical strategy and ensuring the team delivers demonstrations that build genuine enterprise trust. Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice. Agentic AI & LLM Engineering Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step enterprise workflows. Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use. Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety. Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best into customer engagements. End-to-End AI Application Development Own the full development lifecycle across multiple streams: from problem framing and data exploration through model development, API integration, and production deployment. Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows. Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale. Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production. Team Collaboration & Delivery Excellence Coordinate delivery across engineers, program managers, and solution architects - ensuring workstreams are aligned, unblocked, and progressing to plan. Set the technical bar for the engagements you lead, reviewing outputs, shaping architecture decisions, and ensuring engineering quality across the team. Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery. Collaborate closely with H2O.ai product and engineering teams to surface customer feedback, shape roadmap input, and resolve platform-level issues. What We Are Looking For Experience & Background 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment. Demonstrable experience leading technical delivery across complex, multi-stakeholder enterprise engagements - not just executing within them. Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar. Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent). Experience deploying AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes). Skills & Capabilities Proven ability to manage multiple concurrent workstreams and coordinate cross-functional teams toward shared delivery milestones. Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps. Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM. Backend development skills: REST APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines for AI applications. Strong executive communication - able to run a board-level briefing one hour and a technical design review the next, credibly. Comfortable with ambiguity and able to set direction for a team when requirements are incomplete or evolving. How to Stand Out From the Crowd Kaggle or competitive ML experience. Familiarity with H2O.ai products, Wave, or H2O Document AI. Experience in financial services, healthcare, or other regulated industry AI deployments. Exposure to tabular foundation models, AutoML, or enterprise ML platforms. Prior experience in a customer-facing or field engineering role. Why H2O.ai? Market leader in total rewards Remote-friendly culture Flexible working environment Be part of a world-class team Career growth H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose. Please visit to learn more. Powered by JazzHR ZnRHQBiPpf

Job Description Job Description ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world's first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets, hypotheses, and patent-ready reports. Our traction speaks for itself: 12X year-over-year revenue growth Trusted by leading biotechs and big pharma across three continents Driving real breakthroughs from target discovery to patient outcomes. ABOUT THE ROLE We are hiring Forward Deployed Engineers to partner directly with our customers and help them deploy, integrate, and operationalize the Mithrl platform inside their private cloud environments. FDEs sit at the intersection of engineering, customer success, and solutions architecture. You will work hands-on with customer IT, security, data, and R&D teams to set up secure cloud environments, configure integrations, troubleshoot technical challenges, and ensure Mithrl becomes a seamless part of their discovery workflow. This role requires strong software engineering fundamentals, deep comfort with cloud infrastructure, and excellent problem solving skills. You will work very closely with customer teams to design deployment architectures, automate provisioning steps, validate platform functionality in their environments, and ensure that their scientific teams can begin using Mithrl without friction. If you enjoy solving hard and novel problems in real customer environments, working across cloud infrastructure and product engineering, and being part of the customer's journey from day one, this role is an ideal match. WHAT YOU WILL DO Deploy Mithrl into customer private clouds including AWS, Azure, or GCP Work directly with customer IT and security teams to configure networking, IAM, private subnets, secure VPCs, and data access patterns Build integrations between customer systems and Mithrl APIs for data ingestion or workflow automation Validate deployed environments through functional, performance, and scientific smoke tests Troubleshoot infrastructure, deployment, and connectivity issues in real customer environments Implement automation and internal tools that make deployments faster, more reliable, and more repeatable Serve as a technical advisor to customers during onboarding and through early product adoption Document deployment guidelines, architecture templates, and integration playbooks Collaborate with Mithrl platform engineering, DevOps, and ML teams to resolve issues and drive improvements Ensure that deployments meet customer security standards and internal best practices WHAT YOU BRING Required Qualifications Strong experience with cloud environments such as AWS, Azure, or GCP Experience configuring VPCs, IAM, networking, private endpoints, and secure infrastructure setups Software engineering fundamentals and proficiency in Python or a similar language Experience with container technologies and orchestrators such as Docker, ECS, EKS, or Kubernetes Ability to diagnose and resolve issues involving networking, storage, compute, and configuration Experience working directly with external stakeholders in highly technical environments Excellent problem solving skills and the ability to adapt quickly in complex customer deployments Strong communication skills and ability to build trust with customer teams Nice to Have Experience integrating ML or data heavy platforms into enterprise environments Experience with Terraform or CloudFormation Experience with secure data environments, regulated R&D teams, or biotech customers Familiarity with scientific computing or R&D workflow tools Experience writing internal tools, automation scripts, or lightweight backend services WHAT YOU WILL LOVE AT MITHRL High ownership and impact: You will work directly with leading pharma and biotech organizations on real deployments. You will solve complex problems across cloud, networking, security, and systems engineering. You will have enormous ownership over how Mithrl operates in customer environments Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution Speed: We ship fast (2x/week) and improve continuously based on real user feedback Location: Beautiful SF office with a high-energy, in-person culture Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Compensation Range: $150K - $200K

Job Description Job Description About Subsense Subsense is a deep-tech company developing the world's first non-surgical, bidirectional brain-computer interface powered by plasmonic and magnetoelectric nanoparticles. Our mission is to unlock direct communication between the human brain and AI - starting with medical applications such as stroke recovery and moving toward cognitive enhancement for healthy users. Headquartered in Palo Alto, Subsense brings together leading scientists and engineers to redefine the future of human-machine interaction. The Opportunity We are seeking a highly hands-on Research Engineer to lead and execute multidisciplinary experiments at the intersection of physics, engineering, nanotechnology, and biology. This role is centered on experimental development. You will design experiments, build and operate laboratory systems, coordinate complex studies across multiple teams, and translate experimental results into actionable engineering improvements. You will spend a significant portion of your time in the lab running experiments, troubleshooting systems, collecting data, and working closely with scientists and engineers to advance our technology platform. The ideal candidate enjoys moving quickly between theory and practice, thrives in a fast-paced startup environment, and is excited about solving difficult problems through experimentation. Key Responsibilities Design, plan, and execute experiments to evaluate new technologies, devices, materials, and biological systems. Lead day-to-day laboratory activities, including setup, operation, troubleshooting, and optimization of experimental platforms. Coordinate multidisciplinary experiments involving hardware, software, optics, electromagnetics, nanomaterials, and biological systems. Work closely with scientists and engineers across departments to develop experimental plans, protocols, and success metrics. Build, modify, and maintain research platforms, prototypes, and test systems. Develop experimental procedures and ensure repeatable, high-quality data collection. Analyze experimental data and identify trends, opportunities, and next-step investigations. Drive rapid iteration cycles by translating experimental findings into design improvements. Support biological experiments involving cell cultures, neural systems, and related laboratory workflows. Collaborate with software and data teams to automate experiments, data acquisition, and analysis pipelines. Document experimental methods, results, and technical recommendations. Present findings to internal teams and contribute to technical strategy discussions. What You'll Bring MS or PhD in Physics, Electrical Engineering, Mechanical Engineering, Bioengineering, Neuroscience, Applied Physics, or a related field. 0-5 years of industry, academic, or research laboratory experience. Strong experimental mindset with demonstrated experience designing and executing complex experiments. Experience operating laboratory equipment and developing experimental workflows. Ability to troubleshoot multidisciplinary systems spanning hardware, software, and instrumentation. Strong quantitative and analytical skills, including data analysis in Python, MATLAB, or similar environments. Experience with scientific instrumentation, sensors, optics, electromagnetics, control systems, or related technologies. Comfortable working with uncertainty and rapidly evolving research objectives. Excellent communication and collaboration skills in cross-functional environments. Startup mindset-curious, adaptable, hands-on, and highly execution-oriented. Preferred Qualifications Experience with neurotechnology, neuroscience, biomedical devices, or bioelectrical systems. Experience working with cell culture, biological assays, or laboratory research environments. Familiarity with magnetic systems, electromagnetics, optics, photonics, or nanoparticle-based technologies. Experience developing automated experimental platforms and data acquisition systems. Experience with COMSOL, MATLAB, Python, LabVIEW, or similar scientific computing tools. Why This Role Is Different This is not a desk-based design role. You will be in the lab daily, working directly with experiments, instrumentation, and multidisciplinary teams to advance breakthrough neurotechnology. Success in this role comes from curiosity, creativity, rigorous experimentation, and the ability to turn complex experimental observations into engineering progress. Subsense is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.

Job Description Job Description Grey Matters Defense Solutions specializes in software development and solutions, specialized data analytics algorithms, and innovative remote sensing technologies and operations, with senior-level personnel formerly from DIA, NRO, DARPA, and the US Armed Forces. Grey Matters Defense Solutions differentiates itself by combining its subject matter experts, analysts, software engineers, and its data scientists to create unique artificial intelligence algorithms and various applications. Grey Matters Defense Solutions is seeking a talented and dedicated, Mission Engineer About the job: Grey Matters Defense Solutions is looking for experienced multi-INT analysts/developers to join our Sensor to Shooter Mission Engineering team to help solve mission-focused operational problems. Stationed at customer locations, the Mission Engineering team provides support for local operational needs while also helping integrate with Intel Community and DoD tools, services, and data. Key Responsibilities: The Mission Engineering team is responsible for creating and integrating capabilities into Sensor to Shooter workflows, capturing customer needs, and providing onsite expertise through development of scripts, models, automations, and other creative techniques to overcome mission-limiting capability gaps. Ideal additions to this team will be broadly experienced across data types and intelligence disciplines and are highly motivated problem-solvers. New Mission Engineers must have exceptional communication skills and function effectively within a team as well as independently. Dedication to the mission and an ability to generate creative solutions to hard mission problems is a must. Willingness to travel in support of exercises, surge support, etc. as needed to support Customer requirements. About you: An active Top Secret security clearance 8+ years of IC/DoD analyst experience 5+ years of mission capability experience 5+ years of experience with common DoD analysis and visualization applications Demonstrated ability to communicate with peers, leadership, and customers Excellent analytical skills and problem-solving skills High level of self-initiative and self-motivation with the ability to work under minimal supervision Ability to work effectively in small team settings to solve complex problems Demonstrated ability to bring new or innovative solutions to problems Preferred Skills: Coding experience in a modern software language such as Python, R, or JAVA Broad community knowledge of sensors and disciplines and the ability to leverage and communicate this intelligence, surveillance, and reconnaissance experience to teammates and customers Experience in processing and visualizing data and an understanding of the processes and procedures necessary to request, coordinate, and task collection Knowledge of customer tasking, collection, and processing tools to perform limited analytics and development Understanding of Agile development practices and procedures with the ability to act as a product owner for established needs Salary Range: $100,000 - $160,000 Grey Matters Defense Solutions offer a comprehensive benefits package including medical, dental, vision, life insurance, short-term and long-term disability. Additional Benefits: SEP IRA 25% of base salary PTO Six weeks IBA 12.5% Employee assistance program Employee discount Flexible spending account Health savings account Referral program Grey Matters Defense Solutions' most valuable assets are the more than 60+ employees, consisting of data scientists, custom software developers, and analysts/subject matter experts, with senior-level personnel formerly from DIA, NRO, NSA and the US Armed Forces. Our employees have a depth of analytical knowledge which provides them with deep understanding of managing and delivering products within government systems. Grey Matters Defense Solutions provides transformational leadership building aware-winning teams and products. Join our team of exceptional developers, architects and data scientists! All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Powered by JazzHR 7VTpjIgd2h

Job Description Job Description Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care. We are a healthcare company, pioneering new technologies to advance early cancer detection. We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine's greatest challenges. GRAIL is headquartered in the bay area of California, with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies. For more information, please visit GRAIL is seeking a Build Engineer to join our DevOps / Platform Engineering organization. Our team builds and operates the infrastructure, tooling, and developer platforms that engineering and research teams rely on to move quickly and safely, from local development environments through builds, tests, CI/CD, and release. In this role, you will focus on developer experience: reducing friction in day-to-day engineering workflows and making complex, multi-language systems easier to build, test, and maintain. You will own and improve build-system workflows in our Bazel-based monorepo, raise CI reliability and performance, and build internal tooling and self-service automation used across engineering and research. This is a high-leverage role with broad visibility, your work directly accelerates teams working on early cancer detection. This role is based in Sunnyvale, California. We are moving to our new headquarters in September so you may visit our current Menlo Park, CA location for interviews if they occur prior to the move. This role offers a flexible work arrangement, with the ability to work from GRAIL's office or from home. Our current flexible work arrangement policy requires that a minimum of 60%, or 24 hours, of your total work week be on-site. Your specific schedule, determined in collaboration with your manager, will align with team and business needs and could exceed the 60% requirement for the site. At our Sunnyvale campus, Tuesdays and Thursdays are the key days where we encourage on-site presence to engage in events and on-site activities. Responsibilities Own and improve build-system workflows in our Bazel-based monorepo, including build rules, test execution, dependency management, caching, and build diagnostics. Improve CI performance, reliability, and observability, including failure diagnostics, flaky-test handling, and pipeline maintainability. Partner with engineering and research teams to identify and remove friction in local development, builds, tests, CI, release workflows, and tooling. Build and maintain internal tools, automation, and self-service workflows that reduce repeated manual effort for engineers. Diagnose complex build and CI failures across Go, Python, TypeScript, and Java codebases. Collaborate with DevOps and platform engineers on AWS and Kubernetes infrastructure where it intersects with build, test, and delivery workflows. Establish practical standards, documentation, and reusable patterns for build systems, CI pipelines, and developer tooling. Take accountability for ambiguous developer-productivity problems and drive them through to measurable improvements. Use modern AI coding agents responsibly to explore unfamiliar codebases, investigate difficult failures, prototype solutions, and accelerate tooling work. These responsibilities summarize the role's primary responsibilities and are not an exhaustive list. They may change at the company's discretion. Required Qualifications 4+ years of experience working on build systems, CI/CD, or developer productivity / platform tooling. 2+ years of hands-on experience with a large-scale build system (for example Bazel, Buck, Pants, Gradle, or CMake). 2+ years of experience building and maintaining CI/CD pipelines in GitLab CI, GitHub Actions, Jenkins, or a comparable system. 3+ years of professional coding experience in one or more of Go, Python, TypeScript, or Java. 1+ years of hands-on experience with AWS and containerized workloads on Kubernetes. BS in Computer Science or a related technical field, or equivalent experience. Preferred Qualifications Production Bazel experience, especially in a large, multi-language monorepo. Experience with Bazel rules and toolchains, remote caching, remote execution, test sharding, or build performance optimization. Experience with dependency management, hermetic and reproducible builds, and test infrastructure at scale. Experience improving developer experience in a mixed-language engineering environment (Go, Python, TypeScript, Java). Experience building internal CLIs, automation, release tooling, or self-service developer platforms. Experience defining and using developer-productivity metrics to prioritize work and demonstrate impact. Experience diagnosing and reducing CI flakiness, build nondeterminism, and long-tail pipeline failures. Experience supporting scientific, research, or data-intensive teams, including Python packaging and container image workflows. Strong debugging skills across complex, multi-team build, test, and pipeline failures. Clear communication and collaboration skills, with a track record of working directly with developers, researchers, and platform engineers. Comfortable using modern AI coding agents as part of day-to-day engineering work while applying sound engineering judgment. Experience mentoring engineers or driving adoption of tooling and standards across teams. The expected base salary range for this position is $136,000 to $180k This role may be eligible for other forms of compensation, including an annual bonus and/or incentives, subject to the terms of the applicable plans and Company discretion. This range reflects a good-faith estimate of the range that the Company reasonably expects to pay for the position upon hire; the actual compensation offered may vary depending on factors such as the candidate's qualifications. Employees in this role are also eligible for GRAIL's comprehensive and competitive benefits package, offered in accordance with our applicable plans and policies. This package currently includes flexible time-off or vacation; a 401(k) retirement plan with employer match; medical, dental, and vision coverage; and carefully selected mindfulness programs. GRAIL is an equal employment opportunity employer, and we are committed to building a workplace where every individual can thrive, contribute, and grow. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, disability, status as a protected veteran or any other class or characteristic protected by applicable federal, state, and local laws. Additionally, GRAIL will consider for employment qualified applicants with arrest and conviction records in a manner consistent with applicable law and provide reasonable accommodations to qualified individuals with disabilities. Please contact us at if you require an accommodation to apply for an open position. GRAIL maintains a drug-free workplace. We welcome job-seekers from all backgrounds to join us!

Job Description Job Description About Tahoe Therapeutics Tahoe Therapeutics is a biotechnology company pioneering a fundamentally new approach to drug discovery, one that begins with the biology of real patients. Our Mosaic platform is the first to make in vivo data generation scalable, with single-cell resolution, allowing us to map how drugs affect patient-derived cells in the body across a wide range of biological contexts. We are building the world's largest in vivo single-cell perturbation atlas and using it to train multimodal foundation models that learn the context-dependent nature of gene function, disease progression, and drug response. By combining cutting-edge machine learning with the most biologically relevant datasets ever assembled in drug discovery, our mission is to find better drugs, faster and bring them to more patients who need them. Your role With Tahoe-100M, we solved one of the fundamental bottlenecks in building a virtual model of the cell: generating massive, perturbation-rich, single-cell datasets that capture real biological causality. With Tahoe-x1, we removed the second bottleneck: creating a modern platform for rapid iteration on model architectures and designs in a cost-efficient manner and at scale. At Tahoe, we embody a simple philosophy: build in the open, shoot for the moon, and we're looking for people who want to push the frontier of what's possible. As a Senior Machine Learning Engineer, you will play a leading role in designing the next generation of foundation models of gene regulatory networks powered by Tahoe's large scale single-cell datasets such as Tahoe-100M and beyond. This role is well-suited for someone with a strong background in machine learning and statistics, and an interest in applying cutting-edge breakthroughs in ML to meaningful problems in drug discovery. We are looking for non-incremental thinkers with the skills to help build models that can make a real impact on drug discovery. Qualifications - Required Solid Engineering and Computer Science fundamentals, ideally with a degree in CS, Math, or equivalent experience. Exceptional engineering skills to iterate quickly on data processing and training pipelines Experience in building, testing, training, and deploying modern neural network architectures such as Transformers. Experience with frameworks like PyTorch, Tensorflow, Keras, JAX and the ability to write hardware optimized code for distributed training Qualifications - Desirable Experience with distributed deep learning using frameworks such as HF Accelerate, Deepspeed, Composer, TorchTitan, Megatron etc. Experience with training large neural networks on multiple compute nodes. Key Responsibilities Stay at the forefront of ML and computational biology research and rapidly adopt state-of-the-art techniques to train AI virtual cell models on our massive single cell datasets. Work together with ML Scientists to develop the next generation of compute optimized models like Tahoe-x1. Benefits Unlimited Paid Time Off (PTO). Monthly Lunch budget One-time Office set up budget US Employees: HMO Kaiser Platinum and PPO Anthem Gold medical as well as vision and dental plans for both the employee and dependents. This position requires on-site presence at our South San Francisco office a minimum of three days per week. We welcome applicants who require visa sponsorship and provide work authorization support for qualified candidates. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.

Job Description Job Description Location: San Francisco, CA (Hybrid) What is Verse? The race to AI has become the race to power. Every breakthrough in artificial intelligence depends on one thing: access to electricity. But across the country, aging grid infrastructure and years-long interconnection queues are slowing the deployment of the data centers that will power the next generation of innovation. Solving this challenge isn't just about energy-it's about unlocking the future of AI. At Verse, we're building the energy intelligence platform for the AI economy. Our software helps the world's largest energy consumers achieve faster, cheaper, and cleaner power by combining real-time control of energy assets with complete visibility into their energy portfolio. Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale batteries, energy markets, and enterprise software, we're redefining how the world's most ambitious organizations access and manage energy. The Role We're seeking an experienced Senior Optimization Engineer to join our Data Science Team. In this role, you will lead the design, development, and deployment of optimization models that power our software platform across applications including electricity markets, renewable energy, and battery energy storage systems. You will be responsible for developing production-grade optimization engines that solve complex operational and planning problems at scale. This role requires deep expertise in mathematical optimization, strong software engineering skills in Python, and experience building optimization models that integrate with production systems. The ideal candidate has significant experience in the energy industry, particularly electricity markets and battery storage optimization. This position emphasizes technical leadership, ownership of complex optimization projects, and collaboration across engineering, product, and commercial teams to deliver high-impact optimization solutions. Key Responsibilities Lead End-to-End Optimization Engineering: Lead the development of optimization solutions from mathematical formulation through production deployment. Translate business requirements into scalable optimization models and implement them as robust, maintainable Python software. Design reusable optimization frameworks and services that integrate seamlessly into Verse's cloud platform and support long-term product development Optimization Modeling & Solver Development: Design and implement mathematical optimization models using linear, mixed-integer, quadratic, and related optimization techniques. Formulate robust models for scheduling, dispatch, planning, and operational decision-making, and improve solver performance through model reformulation, decomposition methods, warm starts, heuristics, and parameter tuning to ensure scalable, production-ready optimization solutions. Energy Systems Modeling: Develop optimization models for electricity markets, battery energy storage systems, renewable energy assets, and other distributed energy resources. Translate market rules and operational constraints into mathematically rigorous optimization formulations. Software Engineering & Productionization: Write clean, well-tested, and maintainable Python code following modern software engineering best practices. Contribute to architecture decisions, testing frameworks, CI/CD pipelines, and deployment of optimization services. Cross-Functional Collaboration: Partner closely with product managers, software engineers, data scientists, and commercial stakeholders to understand business requirements and deliver optimization capabilities that integrate into customer-facing products. Technical Leadership: Mentor junior engineers, establish best practices for optimization modeling and software development, conduct code reviews, and help shape the technical direction of Verse's optimization platform. What We're Looking For (Minimum Qualifications) 5+ years of professional experience developing mathematical optimization models in production environments Demonstrated experience independently leading complex optimization projects from formulation through deployment Professional experience developing production software in Python Experience deploying optimization models into scalable production systems Professional experience in the energy industry is required Experience with battery energy storage optimization is strongly preferred Master's degree or higher in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, Electrical Engineering, or a related quantitative field. A bachelor's degree with significant relevant experience may also be considered. What Will Make You Stand Out (Preferred Qualifications) Experience optimizing battery energy storage systems in wholesale electricity markets Knowledge of market optimization problems involving ISO/RTO markets (CAISO, ERCOT, PJM, MISO, NYISO, ISO-NE, etc.) Familiarity with stochastic optimization, robust optimization, or multi-stage optimization methods Experience developing optimization services for real-time or operational decision support systems Experience mentoring engineers or leading technical projects PhD in Operations Research, Applied Mathematics, Industrial Engineering, or a related quantitative discipline What makes Verse a great place to work? Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection Leave the World a Better Place: We are passionate about our mission, and we strive to create a sustainable world for future generations Base Pay Range $150,000-$210,000 This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs. Benefits and Employee Perks Competitive compensation and equity grant at a high-growth start up Comprehensive benefits package including medical, dental and vision insurance, and 401k Flexible hours and unlimited PTO Diverse and inclusive working environment Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.

Job Description Job Description About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to $1B run rate and pay $60M to over 30K individuals every month. Why join Handshake now: Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. About the Role As a Platform Engineer at Handshake AI Enterprise, you'll own the infrastructure layer that makes everything else possible. Enterprise customers don't want their data in shared infrastructure - they want AI applications deployed inside their own environments, on their terms. You'll be the engineer who makes that happen, reliably and at speed. You'll design and execute deployment patterns across VPC, on-prem, and self-hosted configurations, work directly with customer IT and security teams, and build the tooling that makes each new deployment faster than the last. Without you, nothing ships. We're looking for engineers across a range of experience - people who've already shipped infrastructure into demanding enterprise environments, and those ready to define what the platform playbook looks like from the ground up. This is a founding-team role with real technical complexity and direct customer impact - building the platform that Handshake AI Enterprise runs on. Own the infrastructure and deployment layer for AI applications shipped into enterprise customer environments Design and execute VPC, on-prem, and self-hosted deployment patterns across varying enterprise security requirements Work directly with customer IT and security teams to navigate compliance, data residency, and access control constraints Build tooling and automation that makes deployments repeatable and reliable across customers Collaborate closely with Product and Applied AI engineers on your deployment team Identify systemic gaps in infrastructure or process and lead initiatives to address them, reducing friction for future deployments Define the platform playbook for Handshake AI Enterprise as we scale to more customers and more complex environments Desired Capabilities Strong backend and infrastructure engineering experience Hands-on experience deploying applications into enterprise environments - VPC deployments, on-prem, and self-hosted configurations Deep understanding of enterprise security requirements: data segregation, access controls, compliance frameworks Experience working directly with external customers in a deployment or field engineering context Strong operational mindset - you care about reliability, observability, and repeatability at scale Comfort in ambiguous, fast-moving environments where the requirements are defined as you go Extra Credit Experience at an infrastructure company that offers self-hosted or on-prem deployment options Familiarity with authentication, secrets management, and zero-trust networking Experience building internal deployment tooling or platform abstractions that improved team velocity Background working alongside applied AI or ML systems in production environments Location: San Francisco, CA 5 days/week in-office Perks Handshake delivers benefits that help you feel supported-and thrive at work and in life. The below benefits are for full-time US employees. ? Ownership: Equity in a fast-growing company ? Financial Wellness : 401(k) match, competitive compensation, financial coaching ? Family Support: Paid parental leave, fertility benefits, parental coaching ? Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend ? Growth: $2,000 learning stipend, ongoing development ? Remote & Office: Internet, commuting, and free lunch/gym in our SF office ? Time Off: Flexible PTO, 15 holidays + 2 flex days ? Connection: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits at Compensation Range: $155K - $300K

Job Description Job Description Summary: PLEASE NOTE - This is NOT a technical role for a Data Analyst, Data Scientist or someone with an IT background. Candidates MUST have experience in the Market Data realm and be able to administer Market Data contracts. Please read the description before you apply The Market Data Analyst at S4 Market Data will oversee client projects and be responsible for the overall service delivery of our managed services with respective clients. This position will manage market data service inquiries and projects from clients as well as manage a market data administrator within the projects to ensure administrative tasks are being completed in an accurate and timely manner. The ideal candidate will have market data vendor management and administrative experience; sourcing and negotiating contracts, managing procurement/sourcing requests throughout the spend life cycle, speaking with internal business units and stakeholders (legal, finance, IT, etc.) to procure goods/services for our clients. The candidate needs to be located in the US, this is a fully remote position. Responsibilities: Handle day-to-day demand management or vendor management and administrative inquiries from internal business units, including but not limited to; data/sourcing requests, contract negotiation, entitlement administration, exchange reporting, moves/adds/changes requests, inventory management, procurement/legal approval, expense allocation, invoices reconciliation, and spend reporting. Interact with the client's various internal stakeholders and business units; technology, legal, accounting/finance, human resources, and investment managers. Oversee the inventory management process of leavers/joiners, ensure current inventory is accurate and up-to-date. Oversee the reconciliation invoices and validation of monthly allocations/expenses. Conduct monthly/quarterly exchange reporting and ensure exchange policies and data compliance across the client's end-users and applications. Administer their datafeeds (EMRS, DACS, Etc.) Review spend and enact cost savings and avoidance initiatives. Provide respective business units with an overview for their costs; understand their products/services and respond to any inquires as needed. Maintain reports on costs and identify ways to consolidate spend. Conducts regular internal team meetings to report on client SLA's and to ensure all client service deliverables are being met and completed. Qualifications: Bachelor's degree in MIS, Business, or related degree and 3-5 years of relevant experience in financial services or market data. Relevant work experience in consulting is preferred. Experience working with Market Data vendors such as Bloomberg, FactSet, Exchanges (NYSE, ICE, etc.). Knowledge of FITS and MDSL inventory systems is preferred. Excellent communication and project management skills and experience in working closely with internal client business units and senior stakeholders. An entrepreneurial and self-regulating mind-set. Display a high level of time management skills to manage multiple and elaborate requests simultaneously. Have high energy and be a self-starter with the ability to work independently and as part of a team. Powered by JazzHR CqzWdPMF1h

Job Description Job Description About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to $1B run rate and pay $60M to over 30K individuals every month. Why join Handshake now: Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. About the Role Handshake is hiring a Machine Learning Engineer I for the Growth Relevance team. AI is transforming how students navigate their careers, and we're committed to providing innovative, responsible AI-powered solutions that guide students from educational aspirations to meaningful career opportunities. In this role, you will contribute directly to this mission by developing, deploying, and enhancing machine learning systems focused on lifecycle optimization, personalized notifications, and monetization strategies. You'll join a high-impact team leveraging cutting-edge ML infrastructure, including embedding-based retrieval, Graph Neural Networks, and multi-stage rankers built upon a robust data platform with billions of data points. Your work will drive critical marketplace metrics, enhance user engagement, and contribute to responsible AI practices around explainability, fairness, and quality. What You'll Do Innovator: Develop and iterate on machine learning models and features that directly influence user experience across lifecycle, notifications, and monetization - with guidance from senior engineers. Collaborator: Partner with senior engineers, data scientists, and product managers to develop and iterate on machine learning models that improve product features and user experience. Learner: Grow your technical depth by working alongside experienced ML practitioners, picking up best practices in model development, experimentation, and production deployment. Desired Capabilities Bachelor's degree in Computer Science, Data Science, or a related field 3 years of experience in machine learning, data science, or a related area Proficient in Python, with hands-on experience in frameworks such as scikit-learn, PyTorch, or TensorFlow Strong foundation in core ML concepts, including classification, regression, ranking, and model evaluation Extra Credit Master's degree or currently pursuing an advanced degree in a relevant field Exposure to areas such as recommendations, personalization, NLP, deep learning, LLMs, or explainable AI Familiarity with the ML lifecycle (e.g., experiment tracking, model monitoring, feature pipelines) Experience with cloud platforms (GCP, AWS, or Azure) Clear communicator, able to translate technical work for diverse audiences Collaborative mindset with experience working cross-functionally with product, analytics, and engineering teams Perks Handshake delivers benefits that help you feel supported-and thrive at work and in life. The below benefits are for full-time US employees. ? Ownership: Equity in a fast-growing company ? Financial Wellness : 401(k) match, competitive compensation, financial coaching ? Family Support: Paid parental leave, fertility benefits, parental coaching ? Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend ? Growth: $2,000 learning stipend, ongoing development ? Remote & Office: Internet, commuting, and free lunch/gym in our SF office ? Time Off: Flexible PTO, 15 holidays + 2 flex days ? Connection: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits at Compensation Range: $151K - $189K

Job Description Job Description Salary: Who We Are CXAPP is a forward-thinking technology company that leverages AI and data science to drive innovation and deliver cutting-edge solutions. At CXApp, we are the innovators of Indoor Intelligence, delivering actionable insights for people, places and things. Our flagship product CXAI (formerly CXApp) is a workplace experience platform for the enterprise. Our technologies and solutions help enterprise customers deliver a comprehensive business journey in a work fromanywhere world for employees, partners, customers, and visitors. We take pride in the way we positively impact the daily lives of our customers and continue to push the boundaries of how our platform can benefit others. Job Description: As an Analytics and AI Integration Engineer at CXAPP, you will play a crucial role in integrating AI capabilities into our systems, optimizing performance, and ensuring the seamless deployment of AI models. You will work with cross-functional teams to enhance our cloud services and testing methodologies to deliver high-quality AI-driven solutions. Key Responsibilities: AI Integration: Collaborate with data scientists and AI developers to integrate AI models into our applications and systems, ensuring proper functionality and performance. Analytics: Implement data analytics solutions to gather insights, monitor system performance, and drive data-driven decision-making. Cloud Services: Leverage cloud platforms (e.g., AWS, Azure) to deploy and manage AI services and applications efficiently. AI Model Deployment: Deploy AI models in production environments, monitoring their performance and scalability. Performance Optimization: Optimize the performance of AI-integrated systems, including latency reduction and resource management. Testing: Develop and execute testing strategies to validate the functionality and reliability of AI and analytics solutions. Documentation: Maintain clear and comprehensive documentation of integration processes, performance optimizations, and test cases. Qualifications: Bachelor's degree in Computer Science, Data Science, or a related field. Proven experience as an engineer working on AI integration and analytics projects. Strong understanding of AI concepts, machine learning models, and cloud services. Proficiency in AI model deployment and management. Knowledge of performance optimization techniques. Experience with testing methodologies and tools. Proficiency in programming languages like Python, Java, or relevant languages. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Benefits: Competitive salary and performance-based bonuses. Comprehensive health, dental, and retirement plans. Opportunities for professional development and growth. A dynamic and collaborative work environment. The chance to work on cutting-edge AI projects with a talented team. Join our team of talented engineers and make a significant impact by developing cutting-edge software solutions that empower businesses to harness the power of analytics and AI. Apply now and be part of our exciting journey towards innovation and digital transformation.

Position Summary The Field Systems Engineer (FSE) is responsible for attending to service needs of bioMerieux customers within their assigned geographic territory, as well as nationally, on an as-needed basis, utilizing appropriate tools and test equipment. This position requires someone who is a self-starter, with the ability to deliver a best-in-class customer experience, while working remotely without direct supervision and able to conduct overnight travel on short-notice. Typical weekday travel is defined as daily customer visits not requiring overnight travel but expect daily driving of 50% or more. Weekend and Holiday rotational coverage is scheduled with the expectation of additional driving or flying within and/or outside of the standard assigned service region. Standard field service operations for customer support consists of approximately 15% of annual OnCall with the expectation of overnight travel when qualified on products. You will partner directly with a variety of Clinicians, Scientists, Technicians, Biomedical Engineers, and Lab Leadership to optimize the performance of bioMerieux's diverse product portfolio. Primary Duties Territory Management: 60% Customer Service & Technical Execution: Promptly respond to customer needs and perform installations, maintenance, upgrades, and repairs using electronic and computer skills to ensure instruments meet specifications. Relationship Building & Sales Support: Build trust with customers, promote service agreements, and identify sales opportunities for cross-functional teams. Collaboration & Revenue Generation: Foster teamwork across service and support teams while driving field service revenue through billable offerings like preventive maintenance and equipment moves. Travel & On-Call: 10% Training Travel: Attend 6-9 weeks of product training at Durham, NC or St. Louis, MO offices within the first year; future trainings occur as needed. Customer Visit Travel: Travel includes both scheduled and unscheduled visits, with increased overnight stays for wide territories and occasional national travel. On-Call Support: Participate in weekend/holiday on-call rotation ( every 5 weeks), requiring local phone availability and potential national travel for instrument support. Administrative Responsibilities: 20% Documentation & Compliance: Timely and accurate completion of service work orders, QA checklists, and internal training requirements. Scheduling & Reporting: Maintain an up-to-date calendar of availability and submit travel expense reports regularly to avoid penalties. Fleet Management: Follow all company policies related to the use and upkeep of the assigned fleet vehicle. Other Related Duties: 10% Asset & Inventory Management: Maintain spare parts inventory, company-issued vehicle, and all assigned equipment (e.g., laptop, tools, test devices) in good condition and per policy. Professional Development & Collaboration: Continuously improve technical and interpersonal skills, meet annual priorities, and collaborate with sales and applications teams to enhance customer experience. Strategic & Promotional Support: Represent bioMerieux professionally, support trade shows as needed, and provide feedback to Sales, Marketing, and Customer Service to help expand service capabilities Perform all work in compliance with company quality procedures and standards. Performs other duties as assigned. Qualifications Education and Training Bachelor degree in Engineering, Electronic Technology, Computer Science, Biomedical or other related discipline. 4 years related experience including military experience will be accepted in lieu of a bachelor's degree Have and maintain a valid driver's license in state of residence Experience 2+ years of related experience with degree in complex electro-mechanical, electronic, computer, electrical required 6+ years of related experience in lieu of degree in complex electro-mechanical, electronic, computer, electrical required Experience in troubleshooting and/or repair of biomedical, mechanical, electrical, vacuum systems, or similar systems strongly preferred Experience operating independently including managing schedules, customer expectations, and communications both internally and externally; prioritizing tasks; and resolving technical issues without direct oversight preferred Experience in a field service role preferred Experience with host/remote communications and network systems preferred Experience in the principles and practices of laboratory operations preferred Knowledge, Skills, and Abilities Functional skills including critical thinking, adaptability, time management, communication, problem-solving and digital literacy. Technical skills with mastery level commensurate to the job level, marked by specialization and innovation in the field of work. Technical learning aptitude to quickly understand and acquire new technical knowledge and skills. Flexibility, being highly adaptable and resilient to thrive in a dynamic work environment. Learning agility to be able to learn from experiences and apply that knowledge to new situations. Manage and meet competing deadlines, requiring careful prioritization and time management to ensure all tasks are completed on time. Detail orientation to complete tasks without errors and produce high-quality work. Make timely decisions by quickly choosing effective solutions in high-pressure situations for optimal outcomes Thriving in a fast-paced environment by managing tasks, multitasking, and adapting quickly to maintain productivity. Organizing work and resources efficiently to ensure smooth operations Practicing time management to allocate tasks, balance priorities, and meet deadlines efficiently Troubleshooting issues to identify and resolve problems efficiently Demonstrates assertiveness and confidence in the face of a challenge Solution oriented in the face of conflict Action Oriented: Takes action even when facing challenges Perseverance: Demonstrates perseverance and a focus on outcomes Ability to cooperate with others at all levels including leadership Written Communications - including the ability to communicate technical data in written form Effective verbal communication skills Easily accessible and open to communication Build and maintain positive, productive interactions with colleagues Fosters a culture of inclusiveness among all team members Participate in a way that enhances team performance and cohesion. Consistently uphold and reflects the core ethical principles and values that bioMérieux promotes Maintain composure by having the skill of staying calm, focused, and professional in high-pressure or stressful situations. Emotional intelligence by having the ability to recognize, understand, and manage one's own emotions, as well as the emotions of others. Working Conditions and Physical Requirements Ability to remain in stationary position, often standing, for prolonged periods Ability to ascend/descend stairs, ladders, ramps, and the like Ability to wear PPE correctly most of the day Ability to operate heavy machinery Ability to adjust or move objects up to 50 pounds in all directions Domestic travel required up to 90% of time The estimated wage range for this field based role in New Jersey is between $40.70 and $53.30 per hour. This role is eligible to receive a variable annual bonus based on company, team, and individual performance per bioMerieux's bonus program. This range may differ from ranges offered for similar positions elsewhere in the country given differences in cost of living. Actual compensation within this range is determined based on the successful candidate's experience and will be presented in writing at the time of the offer. In addition, bioMérieux offers a competitive Total Rewards package that may include: A choice of medical (including prescription), dental, and vision plans providing nationwide coverage and telemedicine options Company-Provided Life and Accidental Death Insurance Short and Long-Term Disability Insurance Retirement Plan including a generous non-discretionary employer contribution and employer match. Adoption Assistance Wellness Programs Employee Assistance Program Commuter Benefits Various voluntary benefit offerings Discount programs Parental leaves PandoLogic. Category: ,

Position Summary The Field Systems Engineer (FSE) is responsible for attending to service needs of bioMerieux customers within their assigned geographic territory, as well as nationally, on an as-needed basis, utilizing appropriate tools and test equipment. This position requires someone who is a self-starter, with the ability to deliver a best-in-class customer experience, while working remotely without direct supervision and able to conduct overnight travel on short-notice. Typical weekday travel is defined as daily customer visits not requiring overnight travel but expect daily driving of 50% or more. Weekend and Holiday rotational coverage is scheduled with the expectation of additional driving or flying within and/or outside of the standard assigned service region. Standard field service operations for customer support consists of approximately 15% of annual OnCall with the expectation of overnight travel when qualified on products. You will partner directly with a variety of Clinicians, Scientists, Technicians, Biomedical Engineers, and Lab Leadership to optimize the performance of bioMerieux's diverse product portfolio. Primary Duties Territory Management: 60% Customer Service & Technical Execution: Promptly respond to customer needs and perform installations, maintenance, upgrades, and repairs using electronic and computer skills to ensure instruments meet specifications. Relationship Building & Sales Support: Build trust with customers, promote service agreements, and identify sales opportunities for cross-functional teams. Collaboration & Revenue Generation: Foster teamwork across service and support teams while driving field service revenue through billable offerings like preventive maintenance and equipment moves. Travel & On-Call: 10% Training Travel: Attend 6-9 weeks of product training at Durham, NC or St. Louis, MO offices within the first year; future trainings occur as needed. Customer Visit Travel: Travel includes both scheduled and unscheduled visits, with increased overnight stays for wide territories and occasional national travel. On-Call Support: Participate in weekend/holiday on-call rotation ( every 5 weeks), requiring local phone availability and potential national travel for instrument support. Administrative Responsibilities: 20% Documentation & Compliance: Timely and accurate completion of service work orders, QA checklists, and internal training requirements. Scheduling & Reporting: Maintain an up-to-date calendar of availability and submit travel expense reports regularly to avoid penalties. Fleet Management: Follow all company policies related to the use and upkeep of the assigned fleet vehicle. Other Related Duties: 10% Asset & Inventory Management: Maintain spare parts inventory, company-issued vehicle, and all assigned equipment (e.g., laptop, tools, test devices) in good condition and per policy. Professional Development & Collaboration: Continuously improve technical and interpersonal skills, meet annual priorities, and collaborate with sales and applications teams to enhance customer experience. Strategic & Promotional Support: Represent bioMerieux professionally, support trade shows as needed, and provide feedback to Sales, Marketing, and Customer Service to help expand service capabilities Perform all work in compliance with company quality procedures and standards. Performs other duties as assigned. Qualifications Education and Training Bachelor degree in Engineering, Electronic Technology, Computer Science, Biomedical or other related discipline. 4 years related experience including military experience will be accepted in lieu of a bachelor's degree Have and maintain a valid driver's license in state of residence Experience 2+ years of related experience with degree in complex electro-mechanical, electronic, computer, electrical required 6+ years of related experience in lieu of degree in complex electro-mechanical, electronic, computer, electrical required Experience in troubleshooting and/or repair of biomedical, mechanical, electrical, vacuum systems, or similar systems strongly preferred Experience operating independently including managing schedules, customer expectations, and communications both internally and externally; prioritizing tasks; and resolving technical issues without direct oversight preferred Experience in a field service role preferred Experience with host/remote communications and network systems preferred Experience in the principles and practices of laboratory operations preferred Knowledge, Skills, and Abilities Functional skills including critical thinking, adaptability, time management, communication, problem-solving and digital literacy. Technical skills with mastery level commensurate to the job level, marked by specialization and innovation in the field of work. Technical learning aptitude to quickly understand and acquire new technical knowledge and skills. Flexibility, being highly adaptable and resilient to thrive in a dynamic work environment. Learning agility to be able to learn from experiences and apply that knowledge to new situations. Manage and meet competing deadlines, requiring careful prioritization and time management to ensure all tasks are completed on time. Detail orientation to complete tasks without errors and produce high-quality work. Make timely decisions by quickly choosing effective solutions in high-pressure situations for optimal outcomes Thriving in a fast-paced environment by managing tasks, multitasking, and adapting quickly to maintain productivity. Organizing work and resources efficiently to ensure smooth operations Practicing time management to allocate tasks, balance priorities, and meet deadlines efficiently Troubleshooting issues to identify and resolve problems efficiently Demonstrates assertiveness and confidence in the face of a challenge Solution oriented in the face of conflict Action Oriented: Takes action even when facing challenges Perseverance: Demonstrates perseverance and a focus on outcomes Ability to cooperate with others at all levels including leadership Written Communications - including the ability to communicate technical data in written form Effective verbal communication skills Easily accessible and open to communication Build and maintain positive, productive interactions with colleagues Fosters a culture of inclusiveness among all team members Participate in a way that enhances team performance and cohesion. Consistently uphold and reflects the core ethical principles and values that bioMérieux promotes Maintain composure by having the skill of staying calm, focused, and professional in high-pressure or stressful situations. Emotional intelligence by having the ability to recognize, understand, and manage one's own emotions, as well as the emotions of others. Working Conditions and Physical Requirements Ability to remain in stationary position, often standing, for prolonged periods Ability to ascend/descend stairs, ladders, ramps, and the like Ability to wear PPE correctly most of the day Ability to operate heavy machinery Ability to adjust or move objects up to 50 pounds in all directions Domestic travel required up to 90% of time The estimated wage range for this field based role in New Jersey is between $40.70 and $53.30 per hour. This role is eligible to receive a variable annual bonus based on company, team, and individual performance per bioMerieux's bonus program. This range may differ from ranges offered for similar positions elsewhere in the country given differences in cost of living. Actual compensation within this range is determined based on the successful candidate's experience and will be presented in writing at the time of the offer. In addition, bioMérieux offers a competitive Total Rewards package that may include: A choice of medical (including prescription), dental, and vision plans providing nationwide coverage and telemedicine options Company-Provided Life and Accidental Death Insurance Short and Long-Term Disability Insurance Retirement Plan including a generous non-discretionary employer contribution and employer match. Adoption Assistance Wellness Programs Employee Assistance Program Commuter Benefits Various voluntary benefit offerings Discount programs Parental leaves PandoLogic. Category: ,