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At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence. If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. About The Role As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation. We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other's words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! Primary Job Responsibilities Deliver high-impact AI and ML capabilities that drive insight generation on the PitchBook Platform. Ensure your work contributes to broader business goals and is aligned with the team's strategic priorities Provide hands-on expertise in designing, building, and deploying AI/ML models and services with a focus on NLP, summarization, semantic search, classification, and prediction. Contribute to the development of scalable, high-performance systems that meet production-grade reliability and efficiency standards Contribute to a culture of technical excellence by sharing knowledge, pairing with teammates, and actively participating in code and design reviews. Provide situational guidance to junior engineers and contribute to team best practices Build and optimize models that leverage classifiers, transformers, LLMs, and other NLP techniques to generate meaningful insights from structured and unstructured data. Integrate these models into the broader AI/ML infrastructure in collaboration with partner teams Collaborate with engineering, product management, and data collection teams to ensure models are informed by high-quality data and support strategic product goals Explore and experiment with emerging technologies, methodologies, and tools in the fields of GenAI, NLP, and search. Translate research findings into practical solutions that enhance PitchBook's AI capabilities Contribute to best practices in model transparency, monitoring, evaluation, and compliance. Help maintain high standards of security, data integrity, and responsible AI use across your projects Participate in the technical evaluation of candidates and help onboard new team members by contributing to documentation, pairing, and knowledge-sharing practices Apply principles from Agile, Lean, and Fast-Flow methodologies to support efficient model development and deployment cycles Support the vision and values of the company through role modeling and encouraging desired behaviors Participate in various company initiatives and projects as requested Skills And Qualifications Bachelor's degree in Computer Science, Mathematics, Data Science, or related technical field, advanced degrees are preferred 2+ years of experience in software engineering or machine learning engineering, with a strong focus on AI/ML applications in insight generation, summarization, semantic search, and prediction Demonstrated expertise in natural language processing (NLP) and machine learning, including hands off experience with classifiers, transformer models, large language models (LLMs), and widely used ML and data science libraries such as scikit learn, pandas, numpy, TensorFlow, and PyTorch Experience delivering production grade GenAI or LLM based systems with measurable business impact Familiarity with the LangChain ecosystem, including tools such as LangSmith and LangGraph, and experience using them in production environments is a strong plus Proficiency in building and maintaining scalable data pipelines and distributed systems using technologies such as Apache Kafka, Airflow, and cloud data platforms like Snowflake Strong programming skills in Python and SQL, with working knowledge of additional languages such as Java or Scala considered a plus Practical experience with cloud native development, containerization, and orchestration technologies such as Docker and Kubernetes Demonstrated ability to solve complex technical problems, contribute to architectural decisions, and deliver high performance, reliable solutions Excellent communication and collaboration skills, with experience working cross functionally with product managers, engineers, and data scientists in globally distributed teams Experience working in fast paced, data driven environments. Prior exposure to fintech or financial data platforms is a strong advantage Experience authoring research papers for peer reviewed AI/ML conferences (e.g., NeurIPS, ICML, ACL) and participating in the broader AI research community is strongly preferred Must be authorized to work in the United States without the need for visa sponsorship now or in the future Benefits + Compensation at PitchBook Physical Health Comprehensive health benefits Additional medical wellness incentives STD, LTD, AD&D, and life insurance Emotional Health Paid sabbatical program after four years Paid family and paternity leave Annual educational stipend Ability to apply for tuition reimbursement CFA exam stipend Robust training programs on industry and soft skills Employee assistance program Generous allotment of vacation days, sick days, and volunteer days Social Health Matching gifts program Employee resource groups Subsidized emergency childcare Dependent Care FSA Company wide events Employee referral bonus program Quarterly team building events Financial Health 401k match Shared ownership employee stock program Monthly transportation stipend Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. Compensation Annual base salary: $125,000-$180,000 Target annual bonus percentage: 10% Working Conditions At the heart of our company is a belief in the power of in person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments-those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices-that simply can't be replicated remotely. This role is expected to be in the office 5 days a week. The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events. Life At PB We are consistently recognized as a Best Place to Work and our culture is at the heart of our success. It's our fundamental belief that people do and create great things and that people are the cornerstone of prosperity. We believe that proactively seeking out different points of view, listening to others, learning, and reflecting on what we've heard creates a sense of belonging within PitchBook and strengthens the PitchBook community. We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

Get AI-powered advice on this job and more exclusive features. Here at Appian, our core values of Respect, Work to Impact, Ambition, and Constructive Dissent & Resolution define who we are. In short, this means we constantly seek to understand the best for our customers, we go beyond completion in our work, we strive for excellence with intensity, and we embrace candid communication. These values guide our actions and shape our culture every day. When you join Appian, you'll be part of a passionate team that's dedicated to accomplishing hard things. We are seeking a Senior Technical Consultant to join our Customer Success team. In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to help lead projects and work throughout the entire project life-cycle to define, design, develop and implement custom software solutions using Appian's low-code platform for our commercial clients. This includes working within an agile environment to understand our client's business processes and technical needs, launch new relational data models in production, developing APIs to integrate with multiple systems, and leading/mentoring consultants through fast-paced software implementations. You will also collaborate with client's technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own. This role is based at our Headquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. To Be Successful In This Role, You Need Passion for mentoring/developing others and experience leading small teams through post-sale software implementation Ability to work with clients to define business processes and gather functional and technical system requirements Excellent communication skills, passion for technology and continuous learning, and affinity for asking "why" and solving the right problems History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints) Basic understanding of object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc) Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred) Basic Qualifications 3+ years of experience with hands-on software development or technical consulting B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree Willingness to travel; 20% to support customer engagement Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. About Appian Appian is a software company that automates business processes. The Appian AI-Powered Process Platform includes everything you need to design, automate, and optimize even the most complex processes, from start to finish. The world's most innovative organizations trust Appian to improve their workflows, unify data, and optimize operations-resulting in better growth and superior customer experiences. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn. Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionInformation Technology IndustriesSoftware Development Referrals increase your chances of interviewing at Appian by 2x Sign in to set job alerts for "Senior Technical Consultant" roles.Remote IT Support - $70-$90k (Internal, Security) Washington, DC $70,000.00-$90,000.00 1 week ago Opportunity - Want to Join a Great Team and Make a DifferenceIT Assessor Jr.-Secret Clearance (REMOTE) Washington DC-Baltimore Area $85,000.00-$96,000.00 2 weeks ago McLean, VA $112,000.00-$197,500.00 1 week ago Bethesda, MD $80,000.00-$120,000.00 5 months ago Washington, DC $90,000.00-$180,000.00 3 weeks ago Supv IT Specialist (OPERATING SYSTEMS/CUSTOMER SUPPORT) Washington DC-Baltimore Area $155,000.00-$215,000.00 2 weeks ago Chantilly, VA $101,401.00-$114,923.00 4 days ago Washington, DC $120,000.00-$133,000.00 3 weeks ago Arlington, VA $90,000.00-$150,000.00 1 month ago Washington, DC $55,000.00-$65,000.00 2 weeks ago Oxon Hill, MD $97,000.00-$130,000.00 1 week ago We're unlocking community knowledge in a new way. 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Overview Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. We are seeking a Senior Technical Consultant to join our Customer Success team. In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to help lead projects and work throughout the entire project life-cycle to define, design, develop and implement custom software solutions using Appian's low-code platform for our commercial clients. This includes working within an agile environment to understand our client's business processes and technical needs, launch new relational data models in production, developing APIs to integrate with multiple systems, and leading/mentoring consultants through fast-paced software implementations. You will also collaborate with client's technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own. Responsibilities To be successful in this role, you need: Passion for mentoring/developing others and experience leading small teams through post-sale software implementation Ability to work with clients to define business processes and gather functional and technical system requirements Excellent communication skills, passion for technology and continuous learning, and affinity for asking "why" and solving the right problems History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints) Basic understanding of object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc) Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with AWS, AI, Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred) Basic qualifications 3+ years of experience with hands-on software development or technical consulting B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree Willingness to travel; 20% to support customer engagement Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. About Appian Appian is a software company that automates business processes. The Appian AI-Powered Process Platform includes everything you need to design, automate, and optimize even the most complex processes, from start to finish. The world's most innovative organizations trust Appian to improve their workflows, unify data, and optimize operations-resulting in better growth and superior customer experiences. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn. Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice

Senior Machine Learning Engineer - Systems EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. EvenUp is one of the fastest growing vertical SaaS companies in history and is backed by top VCs including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Base pay range: $176,000 - $265,000 per year. Core Responsibilities Design and implement end to end ML systems for retrieval augmented generation (RAG), vector search, and fine tuning pipelines. Build and optimize data pipelines that integrate structured, unstructured, and embeddings based data into ML workflows. Develop frameworks and reusable components for data extraction, evaluation, and benchmarking of LLMs and other models. Collaborate with data scientists and product teams to translate business problems into ML system designs. Research, prototype, and productionize state of the art techniques in semantic search, embeddings, and prompt engineering. Implement evaluation strategies for ML systems, including relevance metrics, quality scores, and human in the loop workflows. Ensure scalability and efficiency of ML workflows, including large scale embedding generation and retrieval pipelines. Work with machine learning platform engineers to integrate ML frameworks into production environments. Document system architectures and create internal best practices for building ML/AI frameworks. Optional Skills Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus, Elasticsearch/OpenSearch). Familiarity with retrieval frameworks (LangChain, LlamaIndex, custom retrieval pipelines). Strong software engineering skills (Python, distributed computing, APIs). Strong knowledge of transformer models (LLMs, embeddings, fine tuning methods like LoRA, PEFT). Understanding of evaluation methodologies for generative AI (RAG benchmarks, hallucination reduction, factual grounding). Notice to Candidates EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team. We only post open roles on our career page () or reputable job boards. All official EvenUp recruitment emails will come from the no , or no . We do not accept resumes or expressions of interest via email or social media messages. If you're interested in a role, please submit your application directly through our careers page. If you receive communication from someone you believe is impersonating EvenUp, please report it to talent ops . Examples of fraudulent domains include "careers " and "careers ". Benefits & Perks Choice of medical, dental, and vision insurance plans for you and your family Additional insurance coverage options for life, accident, or critical illness Flexible paid time off, sick leave, short term and long term disability 10 US observed holidays and Canadian statutory holidays by province A home office stipend 401(k) for US based employees and RRSP for Canada based employees Paid parental leave A local in person meet up program Hubs in San Francisco and Toronto Equal Opportunity Statement EvenUp is an equal opportunity employer. We are committed to diversity and inclusion. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Position Details Seniority level: Mid Senior level Employment type: Full time Job function: Engineering and Information Technology Industries: Technology, Information and Internet

Join to apply for the Synthesis, Place & Route Distinguished Engineer role at Lattice Semiconductor 15 hours ago Be among the first 25 applicants Join to apply for the Synthesis, Place & Route Distinguished Engineer role at Lattice Semiconductor Lattice Overview There is energy here energy you can feel crackling at any of our international locations. It's an energy generated by enthusiasm for our work, for our teams, for our results, and for our customers. Lattice is a worldwide community of engineers, designers, and manufacturing operations specialists in partnership with world-class sales, marketing, and support teams, who are developing programmable logic solutions that are changing the industry. Our focus is on R&D, product innovation, and customer service, and to that focus, we bring total commitment and a keenly sharp competitive personality.Energy feeds on energy. If you flourish in a fast paced, results-oriented environment, if you want to achieve individual success within a "team first" organization, and if you believe you can contribute and succeed in a demanding yet collegial atmosphere, then Lattice may well be just what you're looking for. Lattice Overview There is energy here energy you can feel crackling at any of our international locations. It's an energy generated by enthusiasm for our work, for our teams, for our results, and for our customers. Lattice is a worldwide community of engineers, designers, and manufacturing operations specialists in partnership with world-class sales, marketing, and support teams, who are developing programmable logic solutions that are changing the industry. Our focus is on R&D, product innovation, and customer service, and to that focus, we bring total commitment and a keenly sharp competitive personality.Energy feeds on energy. If you flourish in a fast paced, results-oriented environment, if you want to achieve individual success within a "team first" organization, and if you believe you can contribute and succeed in a demanding yet collegial atmosphere, then Lattice may well be just what you're looking for. Responsibilities Responsibilities & Skills Develop new algorithms for Synthesis, Place and Route Architect software tool flow to achieve quality robustness and efficiency Optimize existing tools to achieve better Fmax, Area, Runtime and Memory usage Collaborate with cross functional teams to define next gen devices and technology Work with Sales, Marketing and Field Applications team to support innovation and customer adoption of our products Assist in management of customer escalations and support tickets Required Skills MS/PhD in Electrical Engineering or Computer Science or Computer Engineering 15+ years of industry experience in developing EDA tools Strong background and experience in data structures and algorithms Experience of logic design and EDA software is a must Proficient with C++ Knowledge in Verilog/VHDL is a plus Experience of FPGA tool development is a plus Experience of multi-processing development is a plus Strong written and verbal communication skills, and collaboration skill Must be able to work independently and also in a team environment Strong analytical and problem solving skills Ability to work in a fast paced environment, prioritize appropriately and manage competing priorities Benefits The base pay for this role is between $240,000 to $300,000 per year. In addition to base salary, we offer an incentive plan bonus and new hire equity for a competitive total compensation package. Lattice recognizes that employees are its greatest asset and the driving force behind success in a highly competitive, global industry. Lattice continually strives to provide a comprehensive compensation and benefits program to attract, retain, motivate, reward and celebrate the highest caliber employees in the industry. Lattice is an international, service-driven developer of innovative low cost, low power programmable design solutions. Our global workforce shares a total commitment to customer success and an unbending will to win. For more information about how our FPGA , CPLD and programmable power management devices help our customers unlock their innovation, visit . You can also follow us via Twitter , Facebook , or RSS . At Lattice, we value the diversity of individuals, ideas, perspectives, insights and values, and what they bring to the workplace. Applications are welcome from all qualified candidates. Lattice Feel the energy.Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesSemiconductor Manufacturing Referrals increase your chances of interviewing at Lattice Semiconductor by 2x Sign in to set job alerts for "Distinguished Engineer" roles.Distinguished Software Engineer- RUCKUS EdgeDistinguished Software Engineer- RUCKUS EdgeVice President of Engineering / Bilingual Mandarin San Jose, CA $250,000.00-$300,000.00 2 weeks ago Chief Development Officer (CDO)/VP of Engineering San Jose, CA $279,200.00-$383,900.00 2 weeks ago Mountain View, CA $327,200.00-$400,000.00 1 week ago San Jose, CA $236,800.00-$296,000.00 1 day ago Distinguished Engineer - Optical System ArchitectDistinguished Software Engineer - Machine LearningDistinguished Software Engineer - Ads AIDistinguished Engineer, Demand and Capacity PlanningDistinguished Planning Machine Learning Engineer - Autonomous VehiclesAssociate/ Assistant Systems Design Engineer Sunnyvale, CA $169,000.00-$338,000.00 1 day ago Distinguished Engineer - Data Center System Software ArchitectDistinguished Engineer - Data Center System Software ArchitectDistinguished Systems Software Engineer, Graphics Delivery Network PlatformSenior Distinguished I, Software Engineer - Transactional Systems Revenue and Data Intelligence Sunnyvale, CA $208,000.00-$416,000.00 5 days ago Software Development Engineer, EC2 Instance NetworkingSenior Distinguished Engineer - CEP Experimentation and Feature Management Platform (Remote Eligible) We're unlocking community knowledge in a new way. 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Overview Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you. Every mile driven by a Waymo car is a unique and valuable piece of data that can be leveraged into improving our machine learning models, and ultimately the safety and capabilities of the Waymo Driver. Charting the path from collection of a piece of data, to curation, (auto-)labeling, model training and evaluation, all the way to model deployment and monitoring is a process of continuous scaling and quality improvement of the entire ML lifecycle. The Area Technical Lead for the Waymo machine learning flywheel is responsible for architecting, connecting, automating and improving the entire span of this self-improvement process in close collaboration with Waymo's infrastructure, modeling and evaluation teams. They are directly accountable to Waymo's leadership for the organization's ML data strategy and its impact on Driver quality. You will report directly to our Distinguished Engineer, Foundation Models. Responsibilities Architect a path towards every autonomous mile driven by a Waymo car to be automatically incorporated into an automated data-driven self-improvement loop for the Waymo Driver. Enable a data flywheel to serve the demands of scalable pre-training, post-training targeted to relevant critical behaviors, as well as Driver simulation and validation. Enable a modeling flywheel to efficiently consume that data to reliably generate updated models that are validated and deployable with minimal human toil. Coordinate cross-functional efforts in partnership with data and ML infrastructure teams, resource planning, logging infrastructure, modeling and validation teams to accelerate the velocity, impact and leverage of driving data on the Waymo Driver. Act as the steward of data quality, by providing tooling and metrics to evaluate the impact of mining, selection and curation on the modeling pipeline performance. Articulate the strategy for incorporating diverse data sources, including third-party and synthetic data into that improvement flywheel. Drive innovation across all axes of performance and efficiency, from Driver quality, to scalability, cost, engineering velocity, model architecture and performance. Qualifications Master's degree or PhD in Computer Science, Engineering, or a related technical field 10+ years of experience in ML model development, and you have 2+ years experience with large-scale vision, video, or multi-modal foundation model development and their integration in end-to-end models 6+ years of experience in ML-driven production systems that develops models with large-scale data, training, evaluation, and deployment 6+ years of experience in a technical leadership role leading technical teams and setting technical directions in large ML Engineering organizations Demonstrated expertise in large-scale machine learning and its key components: pre-training, post-training, and validation. Deep understanding of both infrastructure and quality aspects. Track record of architecting and standing up a machine learning flywheel at scale for mission critical applications. Experience with driving model quality improvements through systematic data scaling and curation. Communication and interpersonal skills. Ability to inspire, influence and coordinate across functions and disciplines. We Prefer PhD in computer science. Experience in multi-modal LLM model development, and their infrastructure. Familiarity with multi-task, end-to-end models and their development challenges. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $332,000-$421,000 USD

Company: One of our consumer AI investments is hiring an ML Infrastructure Engineer. The founding team helped build iconic consumer products at Pinterest, Lyft, Whatnot, Grubhub, and others. We led the Seed round, and the company is finalizing a Series A with another tier-1 VC. Team size: 20+ (and growing) The opportunity: You'll be an early ML Infra hire helping scale training and inference systems that directly power a consumer product. This is a hands-on role with real ownership: reliability, performance, cost, and developer velocity. What you'll do: Build and operate large-scale ML infrastructure for training and inference (GPU compute, orchestration, model serving) Own core systems for data and feature pipelines, model artifacts, experiment tracking, and evaluation Improve observability and reliability across ML and production systems (monitoring, debugging, incident response, SLAs) Drive efficiency across the stack (latency, throughput, cost, capacity planning) Partner closely with researchers/ML engineers/product engineers to unblock shipping Role (key traits): 3+ years building large-scale distributed systems infrastructure; 2+ years building modern ML systems in industry: ML training and inference systems, large-scale distributed infrastructure, GPU-backed compute, Kubernetes and cloud infrastructure, production reliability, Python + a systems language, PyTorch or TensorFlow BSCS or equivalent (MSCS preferred) Strong coding and systems fundamentals (production-grade engineering, not just prototypes) Good fit for this role if you have: Owned production ML training and/or serving infrastructure end-to-end (not just model development) Experience with distributed compute and data systems (scheduler/orchestration, storage, streaming/batch, reliability) Comfort operating systems in production: on-call mindset, instrumentation, performance tuning, cost discipline Built internal platforms that improved ML developer velocity (reusable pipelines, tooling, paved roads) Enjoyed ambiguity while moving quickly with a small team, and you like building "the system" as much as "the model" Not a good fit for this role if you're primarily: Focused on research or model architecture work and don't want to own production systems Looking for a role with minimal on-call/ops responsibilities or limited accountability for reliability Experienced only with notebooks/prototypes and not with production-grade infra and debugging Targeting more specialized scope rather than broad ownership across the ML stack About Us: Greylock is an early-stage investor in hundreds of remarkable companies including Figma, Rubrik, Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, among others. More can be found about us here: And, as full-time, salaried employees of Greylock, we provide free candidate referrals/introductions to our active investments to help them grow/succeed (as one of the many services we provide). Please note: We are not recruiting for any roles within Greylock at this time only for openings within our portfolio.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands on access to an incredible vault of data and contribute large scale recommendation systems in ways you won't find anywhere else. What you'll do Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas Use data driven methods and leverage the unique properties of our data to improve candidates retrieval Work in a high impact environment with quick experimentation and product launches Keeping up with industry trends in recommendation systems What we're looking for 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning) End to end hands on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark) Degree in computer science, machine learning, statistics, or related field Nice to have: M.S. or Ph.D. in Machine Learning or related areas Publications at top ML conferences Expertise in scalable realtime systems that process stream data Passion for applied ML and the Pinterest product Relocation Statement This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. US based applicants only Base salary range: $129,818 - $267,272 USD Our Commitment to Inclusion Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Until is a moonshot company building a "pause button" for biology. Our near-term focus is organ-scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we're laying the foundation for whole-body reversible cryopreservation, giving patients a bridge to future cures. To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, and vitrification and rewarming hardware. We are also building out our medical hibernation team to tackle the challenges of whole-body cryopreservation, beginning with rodent models. We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive. About the Role As a Machine Learning Engineer / Scientist at Until, you will be an early member of the computational team defining how experimental data becomes insight and drives the next round of scientific discovery. You'll build high-leverage ML systems that help develop new cryoprotectant formulations, engineer biologically-inspired antifreeze proteins, and understand the physics of vitrification and rewarming. You will own projects end-to-end including shaping data collection and designing data pipelines, training and evaluating models, and deploying tooling that scientists use daily. About You Degree in Computer Science or a related field (Applied Mathematics, Statistics, Data Science, Computational Biology). Excellent foundations in the mathematics that underlies machine learning, including linear algebra, probability, statistics, and calculus. Strong experience in modern machine learning approaches, such as representation learning, generative modeling, active learning, and bayesian optimization. Track record of developing ML approaches for scientific discovery, as evidenced by a strong publication record, substantial open source contributions, or deployment of a machine learning system in an industry role. Demonstrated ability to write modular, maintainable, and performant code in Python. Fluency with the Python data science and ML stack, including PyTorch, NumPy, SciPy, Pandas/Polars, Matplotlib/Plotly. Proficient with developer tooling, including Linux command line, Git, and shell scripting. Ability to think from first principles and tackle complex, cross-disciplinary problems with other scientists and engineers. Preferred Qualifications 3+ years of relevant professional or research experience, or a PhD in a computational field. Strong understanding of computer science fundamentals, including algorithms, operating systems, and concurrency. Experience with cloud infrastructure (AWS, GCP) and SQL databases. Benefits Opportunity for outsized impact creating the future as an early team member. Generous medical, dental and vision insurance coverage. Flexible time off and paid holidays. Competitive compensation package, including salary and equity. 401(k) retirement savings plan. FSA and commuter benefits. Subsidized lunch daily. $140,000 - $240,000 a year While this represents our expected range based on market data, final compensation will be determined based on your specific qualifications and may be outside this range. Please keep in mind that the equity portion of the offer is not included in this estimate. As an equal opportunity employer, Until is committed to providing employment opportunities to all individuals. All applicants for positions at Until will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. Lead Software AI Engineer: We believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We've built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. As a Lead Software AI Engineer at Klaviyo, you'll set technical direction and drive the design of scalable backend systems and AI-powered user experiences that form the foundation of our AI product strategy. You'll work closely with product managers, machine learning engineers, and data scientists while mentoring engineers and shaping architectural decisions. How You Will Make a Difference Lead the design and development of backend systems that enable scalable AI solutions for 167K+ customers. Architect robust, reliable, and scalable data pipelines that train and serve AI/ML models at scale. Drive the integration of LLMs into production systems, powering AI agents that create and execute real-time customer experiences. Establish best practices for model evaluation, monitoring, and performance across generative and agentic AI use cases. Mentor and guide engineers, fostering a culture of technical excellence, ownership, and customer-centric product thinking. Partner with cross-functional leaders to influence AI product strategy and deliver high-impact solutions. Who You Are 7-10 years of professional software engineering experience, with a strong focus on backend systems and distributed architectures. Recent, hands-on experience with AI/ML and LLMs, including fine-tuning, evaluation, and production deployment. Proven ability to design and scale distributed systems that support AI-driven applications and agent capabilities. Proficient in Python and modern backend frameworks (FastAPI, Django preferred). Skilled with big data tools (Apache Spark, Hadoop) and distributed task queues (Kafka, Celery, SQS, RabbitMQ, Redis). Experienced in architecting APIs and cloud-native solutions (AWS, Kubernetes, CI/CD pipelines). Demonstrated technical leadership - mentoring engineers, shaping architecture, and raising the bar for engineering practices. Thrives in a fast-paced, startup-like environment with high autonomy and ownership. Curious, adaptable, and motivated to stay on the cutting edge of AI/ML research and apply it to real-world business challenges. Nice to Have Experience training and deploying reinforcement learning systems. Prior experience leading cross-functional initiatives involving data science, ML engineering, and product. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.

Please read all the requirements listed below. This post will be taken down once we have received the first 100 qualified applications. EarthScope Consortium Inc. is not able to sponsor applicants for work authorization within the United States. EarthScope Consortium is only able to hire employees working inside the 50 U.S. States. To be considered, applicants must reside and work within the 50 U.S. States. Job Title: Educational Technologist I Reports to: Engagement Program Manager Employment/FLSA Status: Full-Time/Exempt Remote Eligible: Yes, National United States Travel Requirements: Up to 20% Salary Range: $60,000 - $70,000 (depending on experience, skills, and qualifications relative to the job requirements) Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 403(b) Plan with Company Match Life Insurance PTO, Paid Holidays Position Summary The Educational Technologist I serves as a critical bridge between the organization's Engagement and Data Science groups. This role focuses on integrating technology into education initiatives and ensuring data science best practices are followed. As part of a remote-first organization, this professional collaborates virtually with staff with a variety of backgrounds. This position plays a vital role in ensuring that educational programs are enriched with advanced data science while maintaining accessibility and engagement. Details of Responsibilities General Essential Job Duties: Under direct supervision, design, develop, and implement technology-based solutions that bridge pedagogical best practices with data science methodologies in remote learning environments Translate complex data science and geophysical concepts into accessible educational materials for diverse audiences in virtual settings Maintain e-learning tools, with a strong emphasis on interactive data analysis and coding (e.g. Jupyter Notebooks), to support educational initiatives Support accessibility standards and ensure all tools meet organizational policies and legal requirements Collaborate with geoscience educators, data scientists, researchers, and instructional designers to create engaging virtual learning environments. Stay informed of updates in both educational methodologies and data science techniques, with special attention to remote and asynchronous learning approaches Other duties may be assigned as necessary for the successful operation of the business. Specialized Essential Job Duties: Maintain educational modules for geophysical data processing and analysis in cloud-based environments using current programming and technology such as Python, R, and others. Participate in leading virtual workshops and training sessions Maintain training materials for geophysical data analysis tools, cloud computing platforms, and scientific workflows optimized for accessibility, usability, and engagement in both synchronous and asynchronous contexts Maintain documentation of training materials Leadership and Supervisory Responsibilities: This position does not have supervisory responsibility. Qualifications Minimum Education & Experience Requirements: Bachelor's degree in geophysics, earth sciences, computer science, data science, educational technology, or a closely related field 2+ years of combined experience in: Data science, computational geophysics, or similar technical field or educational technology Preferred Skills: Master's degree in geophysics, earth sciences, computer science, data science, educational technology, or a closely related field Certifications in cloud technologies from cloud providers including Amazon Web Services, Google Cloud Platform, and Microsoft Azure. Experience with cloud-based notebook environments for educational applications Experience with cloud computing platforms (AWS, Google Cloud, Azure) for scientific data processing Experience integrating computational tools into learning environments Experience working with geophysical data types (seismic, electromagnetic, gravity, magnetic, etc.) Demonstrated proficiency in programming languages commonly used for data analysis, statistical computing, machine learning, and scientific research (e.g. Python, R) programming Demonstrated experience working at the intersection of pedagogy and data science. Assignment-specific Position Summary Positions in Engagement Services will include job specific addenda that specify assignment-specific duties, knowledge, skills and abilities pertinent to the position. This is in addition to the general Position Description requirements associated with the job title. Assignment-specific Essential Duties: Manage the plan for managing digital educational resources balancing brand awareness, ability to get data analytics and user functionality. Manage the development of tools to enable the learning of geophysics and the use of facility data in instruction including: The development of no-code/low-code interactive simulations and notebooks, Webtools to deliver data to educators and students Contribute to the Data Science and Computing Academy. Serve as the product owner of Earthscope's learning management system including: Create and maintain information for users of Moodle to facilitate usage Identify needed functionality or plug-ins for Moodle to improve user experience Ensure metrics/usage data are collected for courses offered in GeoLab and Moodle Other duties may be assigned as necessary for the successful operation of the business. Assignment-specific Knowledge, Skills, & Abilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability for the position: Expert user of Google suite of tools Knowledge of learning theory and instructional design principles Knowledge of Universal Design for Learning (UDL) Familiarity with emerging educational technologies Knowledge of learning management systems for course design and analytics. Abilities to use data analytics to assess learner engagement, track performance, and inform instructional decisions. Knowledge of cybersecurity and digital ethics. Ability to work collaboratively with data scientists and software engineers in Data Services. Knowledge, Skills, & Abilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability for the position: Exceptional organizational and time management skills. Ability to work in a team-oriented environment with diverse members and different communication styles Ability to organize and prioritize work. Ability to communicate effectively with different audiences Ability to exercise independent judgment and interact effectively with internal and external partners Other Requirements: Appropriate availability consistent with EarthScope established practices and norms; hours may exceed 40 hours per week, particularly when traveling. Ability to occasionally travel (1-4 times per year) to in-person team gatherings, conferences, field sites, or partner institutions Environment Physical Setting and Requirements: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. PHYSICAL DEMANDS AND WORK ENVIRONMENT : Occasionally required to stand. Occasionally required to walk. Frequently required to sit. Continually required to utilize hand and finger dexterity. Occasionally required to talk and/or hear. While performing the duties of this job, the noise level in the work environment is usually quiet. Occasionally required to lift and /or move more than 25 pounds. Specific vision abilities required by this job include close vision and ability to adjust focus. Acknowledgment This job description is designed to provide a general overview of the requirements of the job and does not entail a comprehensive listing of all activities, duties or responsibilities that will be required. The EarthScope Consortium reserves the right to add to, remove or modify this job description at any time. This includes the right to assign or reassign duties and responsibilities as needed. The EarthScope Consortium also reserves the right to release or eliminate this position at any time. Equal Opportunity It is the policy of EarthScope Consortium not to discriminate against any applicant for employment, or any employee based on the criteria outlined in Title VI and Title VII of the Civil Rights Act of 1964. . click apply for full job details

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. We're looking for a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real-world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. If you're passionate about building state-of-the-art AI systems and want to see your work have immediate business and customer impact, we'd love to talk. What You'll Do Lead with vision - Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation. Drive strategy - Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry's marketplace. Build cutting-edge models - Develop and deploy large language and generative models for multimodal document processing and structured data extraction. Innovate across modalities - Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions. Engineer at scale - Create data pipelines and training workflows that can handle massive, complex datasets. Deploy in the cloud - Use AWS and other platforms to train, optimize, and deploy models into production at scale. Collaborate widely - Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows. Mentor and grow - Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team. Stay ahead - Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production. What We're Looking For Bachelor's degree required; advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus. 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision. Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs). Hands-on experience with multimodal data (text, images, 3D). Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy). Solid grounding in probability, statistics, and optimization for generative modeling. Experience deploying ML and AI models using cloud microservice architecture (AWS preferred). Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred). A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders. Background in manufacturing, supply chain, or related industries is a plus - but curiosity and drive matter more. Must be a U.S. Citizen or Green Card holder (ITAR compliance) Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for a Technical Cyber Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for malicious cyber operations. You will work at the intersection of AI safety and cybersecurity, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against emerging cyber threats in the rapidly evolving landscape of AI-enabled risks. Your work will directly protect the broader ecosystem from sophisticated threat actors who seek to leverage AI technology for harm. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Responsibilities Detect and investigate attempts to misuse Anthropic's AI systems for cyber operations, including influence operations, malware development, social engineering, and other adversarial activities Develop abuse signals and tracking strategies to proactively detect sophisticated threat actors across our platform Create actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor TTPs targeting LLM systems Conduct cross-platform threat analysis grounded in real threat actor behavior, using open-source research, dark web monitoring, and internal data Utilize investigation findings to implement systematic improvements to our safety approach and mitigate harm at scale Study trends internally and in the broader ecosystem to anticipate how AI systems could be misused, generating and publishing reports Build and maintain relationships with external threat intelligence partners, information sharing communities, and government stakeholders Work cross-functionally to build out our threat intelligence program, establishing processes, tools, and best practices You may be a good fit if you Have demonstrated proficiency in SQL and Python for data analysis and threat detection Have experience with large language models and understanding of how AI technology could be misused for cyber threats Have subject matter expertise in abusive user behavior detection, such as influence operations, coordinated inauthentic behavior, or cyber threat intelligence Have experience tracking threat actors across surface, deep, and dark web environments Can derive insights from large datasets to make key decisions and recommendations Have experience with threat actor profiling and utilizing threat intelligence frameworks (MITRE ATT&CK, etc.) Have strong project management skills and ability to build processes from the ground up Possess excellent communication skills to collaborate with cross-functional teams and present to leadership Strong candidates may also have Experience working with government agencies or in regulated environments Background in AI safety, machine learning security, or technology abuse investigation Experience building and scaling threat detection systems or abuse monitoring programs Active Top Secret security clearance Deadline to apply None. Applications will be reviewed on a rolling basis. Annual Compensation Range $230,000 - $290,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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 believe representation is important and strive for diverse perspectives on our team. Safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from email addresses. Legitimate recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, visit directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. We value impact-advancing our long-term goals of steerable, trustworthy AI-over smaller projects. We view AI research as an empirical science, akin to physics and biology. We are a collaborative group that hosts frequent discussions to pursue high-impact work and value communication skills. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space to collaborate with colleagues. Guidance on candidates' AI usage: Learn about our policy for using AI in our application process. As set forth in Anthropic's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Chalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines the performance of Rust with elegant tools that developers love to use. Leading companies depend on Chalk for a variety of use-cases including stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture. About the role We are hiring experienced Frontend Software Engineers to join our team. In this role, you will be responsible for defining strong front-end architecture patterns, leading development of well abstracted reusable components, and collaborating across teams to increase developer velocity. You will excel in this role if you're an experienced engineer with deep front-end expertise who can collaborate effectively across multiple teams and functions to deliver results. This is an opportunity to join us in-person as an early employee and make a large impact at a high growth start-up. You will tackle challenging engineering problems with a high degree of autonomy and ownership. We work in-person Monday through Friday in our SF office. We don't currently offer remote or hybrid positions. We are looking for software engineers who are comfortable solving business problems across all layers of the software stack, with a specific focus on frontend engineering. At Chalk, we build reliable data processing systems that can operate performantly at scale with a laser-focus on developer experience. We need engineers who can build world-class user experiences across web and command-line surfaces, while also understanding and contributing to a codebase that contains ideas from compilers, query planners, and distributed systems. What you will do Work directly with Chalk's co-founders to productionize our first iteration Write TypeScript (React), Python, Go Drive frontend architecture discussions and technical breakdowns. Expose the functionality of our core platform to data scientist and machine learning end-users in their home environments Iterate rapidly to improve Chalk's platform in response to customer needs What we're looking for 2+ years experience of professional software engineering experience Working knowledge of computer science fundamentals. We're not looking for experience from drilling leet code - we need folks who are comfortable building and maintaining real applications You have a deep technical understanding of frontend technologies, patterns, and best practices. You have a firm understanding of backend systems which enable you to collaborate on problems that span the entire stack An eye for high-quality UX Track record of learning new concepts quickly Ability to work autonomously & to make pragmatic tradeoffs with an eye towards business outcomes Experience implementing data infrastructure Experience working with developer tools Experience with applied machine learning or data analytics Experience with Go ️Comprehensive medical, dental, and vision insurance Retirement savings 15 company holidays each year ️15 days of personal time off each year Flex Commuter Benefits Daily lunch and dinner on Chalk Office is fully-stocked with drinks and snacks to fuel your work day. ️ Staying late? Dinner is on us Compensation Range: $120K - $220K Actual compensation awarded to successful candidates will be based on several factors, including market, location, scope of the position and individual qualifications objectively assessed during the interview process. Our comprehensive total package plays a major role in how we recognize individuals for the impact they will have on Chalk's growth and us achieving our goals. The listed range above is simply a guideline, and the base range for this particular role may be modified. Chalk offers early team member equity and competitive benefits package in addition to the cash compensation. Inclusivity Chalk is an equal opportunity employer. We value diversity and inclusion and provide reasonable accommodations to anyone in need of individualized support. 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Select Voluntary Self-Identification of Disability Form CC-305 Page 1 of 1 OMB Control Number Expires 04/30/2026 Voluntary Self-Identification of DisabilityForm CC-305 Page 1 of 1 OMB Control Number Expires 04/30/2026 Why are you being asked to complete this form? We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years. Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. 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Get AI-powered advice on this job and more exclusive features. Base pay range $160,000/yr - $180,000/yr About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware's advanced Active Grid Response platform uses high precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate tech and Silicon Valley investors. For more information, please visit . Role Description As a Senior Data Engineer at Gridware, you will design and scale the data infrastructure that powers our real time grid monitoring platform. You'll build high performance pipelines that transform massive streams of sensor and telemetry data into actionable insights-helping detect faults, predict failures, and strengthen the grid that powers entire communities. Responsibilities Deploy and manage Unity Catalog to standardize data governance, lineage, and access control across data domains. Design, develop, and maintain scalable data pipelines and architectures. Implement data ingestion, transformation, and storage solutions. Ensure data quality and integrity across various data sources and destinations. Collaborate with software engineers, data scientists, analysts, and other stakeholders to meet data requirements. Optimize and tune data workflows for performance and efficiency. Monitor, troubleshoot, and resolve issues in data pipelines and related systems. Document data processes, architecture, and workflow procedures. Required Skills 4+ years of experience in data engineering or related roles, building and scaling real time data infrastructure. Experience designing and maintaining data lakes and lakehouse architectures with governance and access controls. Strong in Python and SQL, with deep experience in relational, time series, and streaming databases. Hands on with modern data stacks-Spark, Kafka, Databricks, Grafana, and other cloud native tools. Skilled in data modeling, ETL/ELT pipelines, and real time streaming architectures for production systems. Familiar with CI/CD, version control, and data governance/security best practices. Bonus Skills Experience with real time data processing and streaming analytics frameworks. Familiarity with IoT and embedded systems, including sensor data pipelines and edge computing. Hands on with Docker, Kubernetes, and Protobuf in production environments. Exposure to machine learning workflows and real time monitoring for IoT and time series data. Comfortable operating in a high growth startup environment, adapting quickly across domains. Benefits Health, Dental & Vision (Gold and Platinum with some providers plans fully covered). Paid parental leave. Alternating day off (every other Monday). "Off the Grid", a two week per year paid break for all employees. Commuter allowance. Seniority level Mid Senior level Employment type Full time Job function Information Technology Industries Software Development Referrals increase your chances of interviewing at Gridware by 2 . Location: San Francisco, CA.