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Lead AI Engineer (AI Foundations)\n \n \n Overview \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n \n Team Description: \n \n \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n \n In this role, you will: \n \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. \n • \n Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n\n \n \n The Ideal Candidate: \n \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. \n • \n You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. \n\n \n \n Basic Qualifications: \n \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies \n • \n At least 4 years of experience programming with Python, Go, Scala, or Java \n\n \n \n Preferred Qualifications: \n \n \n\n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Sales Territory: $179,400 - $204,700 for Lead AI Engineer\n \n McLean, VA: $197,300 - $225,100 for Lead AI Engineer\n \n New York, NY: $215,200 - $245,600 for Lead AI Engineer\n \n Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer\n \n San Jose, CA: $215,200 - $245,600 for Lead AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Job Title: Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. We are seeking strong Software Engineers to join our customer's team with expertise in Python3, Java, Rust, Go, C++, or TypeScript. This is a unique opportunity to directly impact the next generation of AI by leveraging your advanced engineering skills in a dynamic, remote setting. Required Skills and Qualifications: • Proficiency in Python3, Java, Rust, or TypeScript, with additional experience in C++ or Go considered a strong asset., • Deep understanding of algorithms, data structures, and performance tuning., • Demonstrated experience in debugging complex software issues and delivering maintainable solutions., • Strong background in feature development and codebase refactoring., • Proven ability to optimize software for performance and scalability., • Exceptional written and verbal communication skills, with a keen attention to detail., • Track record of success in collaborative, cross-functional teams, ideally in remote settings. Preferred Qualifications: • Previous experience working on large-scale, distributed codebases., • Familiarity with modern AI or machine learning systems is a plus, though not required., • Background in participating in rigorous code reviews and contributing to the development of software best practices.

Job Description Turn Research Into Real-World Impact. At Trexquant, we believe exceptional research belongs in the real world. We're a systematic hedge fund that applies cutting-edge machine learning, statistics, and large-scale data analysis to global financial markets. Every day, our researchers tackle complex, open-ended problems using massive datasets, novel algorithms, and scientific experimentation - with the opportunity to see their ideas deployed in live markets. Whether your background is in computer science, physics, mathematics, engineering, economics, statistics, or another STEM discipline, you'll find an environment where intellectual curiosity, rigorous research, and innovation are at the center of everything we do. No prior finance experience is required- we're looking for exceptional researchers and problem solvers. Responsibilities: As a Quantitative Researcher, you'll help develop the next generation of machine learning models that identify predictive patterns in global financial markets. Your work may include: • Designing and implementing state-of-the-art machine learning models for large-scale prediction problems, • Working with massive structured and alternative datasets to uncover meaningful signals, • Developing novel statistical methods and predictive features, • Reading, evaluating, and extending cutting-edge academic research, • Designing experiments, testing hypotheses, and validating ideas through simulation, • Collaborating with experienced researchers across disciplines to transform research into production-ready strategies, • Your research has a direct impact - from idea generation to live trading Find the Team That Fits Your Strengths Rather than hiring into a single narrow role, we match researchers to the team where they can have the greatest impact. Alpha Research Discover predictive signals by developing new features, exploring diverse datasets, and building machine learning models that forecast market behavior. Data Science Identify, acquire, engineer, and analyze large and unconventional datasets while partnering closely with researchers to unlock new predictive insights. Strategy Research Develop systematic trading strategies using modern statistical and machine learning techniques, validating ideas against real market data through rigorous experimentation. Throughout the interview process, we'll learn about your research interests, technical strengths, and career goals to determine the team that's the best fit for you. Requirements • PhD in Computer Science, Physics, Mathematics, Statistics, Engineering, Economics, or another STEM discipline, • Strong interest in machine learning, statistics, or artificial intelligence, • Excellent programming skills in Python, • Outstanding analytical and problem-solving abilities, • Ability to work independently while collaborating effectively with multidisciplinary teams, • Curiosity, creativity, and a passion for solving difficult problems What Makes Trexquant Different • Work on intellectually challenging, open-ended research problems, • Apply cutting-edge machine learning to real-world systems with measurable impact, • Collaborate with accomplished researchers from diverse scientific disciplines, • Access large-scale datasets and significant computational resources, • See successful ideas transition from research into production, • Join a culture that values curiosity, experimentation, and scientific rigor Benefits • Competitive salary plus bonus bonus based on individual and company performance, • Collaborative, Casual, and friendly work environment, • PPO Health, dental and vision insurance premiums fully covered for you and your dependents, • Pre-tax commuter benefits, • Weekly company meals Applications are open for both Stamford and New York City offices, the latter with a planned opening in September 2026. The base salary for this role is $150,000 to $200,000, and will be determined based on the candidate’s educational background and professional experience. Base salary is one component of Trexquant’s total compensation package, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer

Job Description Company Description Palmetto is a leading clean tech company on a mission to accelerate the transition to a clean energy future. With a belief that consumers can have it all, we are an uncompromising energy company that makes coming clean a no brainer. Our award-winning technology platform empowers homeowners, businesses, and entrepreneurs to adopt renewable energy through simple, scalable, and innovative solutions. Operating at the intersection of B2B and D2C, we offer software, financial products, and services that drive real environmental impact—without compromising value. We deliver end-to-end solutions for whole home electrification that put clean energy within reach for all. Our employees are our most valuable resource. We foster a promote-from-within culture that prioritizes talent development, career growth, and purpose-driven work. Palmetto offers a comprehensive benefits package—including unlimited PTO, medical, dental, and vision coverage, paid parental leave, retirement plans, and more—so you can have it all both personally and professionally. Palmetto prioritizes people, planet, and profit—backed by a culture that values collaboration, impact, and balance. Join us in building a brighter, cleaner world. Location This position will be based in Charlotte, NC, Boston, MA or New York, NY. Reporting This position will report to the VP, Data Intelligence. Summary of Role Energy is one of the defining challenges and opportunities of our generation, and the companies that lead will be the ones that operationalize AI the fastest. Palmetto is building to be agent-first and machine-first: data, systems, and products designed for machines, models, and agents, not just people reading dashboards. The mandate is to take what is cutting edge today and make it our table stakes. We are looking for a versatile, senior engineer to help build the services and infrastructure that make this real. You will build robust, containerized services that make data across many systems discoverable, governed, and usable by people, applications, and AI agents, bring new data into that ecosystem, and integrate it for the teams that rely on it. This is a broad, hands-on role for someone who is fluent in data but is fundamentally a software and platform engineer, not a traditional data engineer focused on the warehouse. Priorities will shift as the business does, so we want someone who can move across services, data, infrastructure, governance, and AI tooling, and pick up whatever is next. Success means agent-first and machine-first stop being aspirations and become how Palmetto operates by default: services, teams, and AI agents get the data they need, governed and reliable, wherever the business goes next. You help make the frontier our foundation, and put Palmetto at the front of an AI-native energy industry, on a challenge that defines our generation. Strategic & Tactical • Build and operate robust, containerized backend services and APIs (REST, GraphQL) that serve data from many systems., • Integrate heterogeneous, multicloud data sources, and find, ingest, transform, and wrangle new datasets into clean, usable form., • Build governed access to data: authentication, fine-grained authorization, audit, and policy enforcement., • Design for machines first: expose data and capabilities to AI agents, services, and automated callers (for example, via MCP), so systems can act on data, not just people read it., • Stand up and maintain metadata, cataloging, and lineage so data stays discoverable and trustworthy., • Own services in production: CI/CD, observability, performance, reliability, and cost., • Act as a hands-on technical and solutions-engineering partner for internal teams (and at times external ones) on integrations, including standing up data apps and visualizations that communicate data value to stakeholders., • Support ML and AI workflows by making features and model outputs discoverable, governed, and servable. Qualifications Minimum: • Senior-level experience (typically 6+ years) building and operating production backend services or platforms., • Polyglot engineer with deep Python plus working JavaScript/TypeScript and SQL, and strong command-line skills (bash/zsh)., • Proven track record shipping robust, containerized microservices (FastAPI with Pydantic in Python, or NestJS on Fastify with Zod in TS), with typed API contracts over GraphQL and/or REST., • Cloud infrastructure experience, ideally multicloud, across heterogeneous data estates., • Fluency with the modern data stack as an integrator and for building data transformations (Snowflake, dbt, SQL, Airflow), plus open-source data tooling (DuckDB, Iceberg, and similar); comfortable wrangling messy data into usable form., • Strong authentication and authorization knowledge; ideally hands-on with fine-grained authorization (FGA) as an operational enforcement capability in applications, across models such as ReBAC and ABAC., • A DevOps and SRE sensibility (CI/CD, observability) and a working understanding of machine learning principles., • An agentic, AI-forward builder and strong communicator who enjoys solutions engineering and can pivot as priorities change. Preferred: • Experience with data catalogs or metadata platforms and data governance., • Experience building or integrating AI-agent interfaces (e.g., MCP)., • An eye for communicating data through data apps and visualizations. Information-design judgment matters more than any one tool (D3, charting or BI libraries, front-end frameworks, or directing AI tools to build them)., • Familiarity with GraphQL frameworks, Redis, secrets management, and Kubernetes., • Experience sourcing or licensing third-party datasets., • Genuine interest in clean energy and home electrification. Employment is contingent upon the successful completion of a background check. Equal Employment Opportunity Palmetto embraces diversity and is an Equal Employment Opportunity employer. Employment is decided on the basis of qualifications, merit, and business need. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or any other status protected under federal, state, or local law. For more about our Privacy Policy, visit: https://palmetto.com/privacy-policy

Job Description COMPANY: Canoe Intelligence WEBSITE: https://canoeintelligence.com/ TITLE: Sr. Machine Learning Engineer LOCATION: New York City or London (hybrid) / Fully Remote in the United States or United Kingdom SALARY: $180,000 - $220,000 (based on NYC, will be adjusted for geo) The Role: We are looking for a Senior Machine Learning Engineer to design and deploy models that make sense of highly complex, unstructured financial documents, enabling us to deliver data with unprecedented accuracy, speed, and trust. You’ll work hands-on with LLM and other ML Models, helping scale Canoe’s platform while shaping how alternative investment firms interact with their data. What You’ll Do: Design, train, and evaluate ML models for document classification, entity extraction, summarization, and information retrieval. Fine-tune and optimize large language models for domain specific use cases, optimizing their performance for accuracy, efficiency, and scalability. Work closely with data engineering teams to preprocess and engineer features from large datasets to enhance the performance of machine learning models. Build scalable, production-ready ML services with strong observability, monitoring, and retraining capabilities. Contribute to Canoe’s MLOps stack, including CI/CD for models, feature stores, evaluation frameworks, and data versioning. Collaborate with product managers, software engineers, and other stakeholders to integrate machine learning models into end-to-end solutions. Stay current with advancements in LLMs, Agentic AI, and ML, and translate new research into practical improvements to Canoe’s technology stack. Conduct code reviews to ensure code quality and provide mentorship to junior members of the machine learning team. What We’re Looking For: Minimum of 5 years of experience in applied ML engineering, with a focus on NLP, information extraction, or LLMs. Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch). Strong understanding of MLOps (Docker, Kubernetes, CI/CD for ML, experiment tracking). Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Claude Code agent) to accelerate software development, prototyping, testing, and deployment of ML solutions. Problem-solver with a product mindset and bias toward outcomes. Excellent communication skills; able to partner across engineering, product, and business teams. Comfortable in fast-paced, agile startup environments. Bachelor’s degree in computer science or related field. Preferred Master Degree or PhD in computer science or related field Experience in training and deploying large language models. Familiarity with cloud computing platforms and distributed computing. Familiarity with modern ML Ops tools such as Modal, Weights and Biases, Sagemaker, etc. Experience with LLM fine-tuning techniques such as LoRA, QLoRA, or parameter-efficient training frameworks (e.g., Unsloth). What You’ll Get: Medical, dental, vision benefits Flexible PTO 401(k) Flexible work from home policy Home office stipend Employee Assistance Program Gym/Wifi reimbursement Education assistance Parental Leave Our Values: Client First —> Listen, and deliver client-centric solutions Be An Owner —> Take initiative, improve situations, drive positive outcomes Excellence —> Always set the highest standard for yourself and others Win Together —> 1 + 1 = 3 Who We Are: Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe’s technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe’s AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm. Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Job Description Catapult is building the future of sports performance technology, with a mission to Unleash the Potential of every athlete and team on earth. We don't just work in the sporting industry; we are actively changing it. Since 2006, our solutions have been leading the way in sports performance software, science, and data, in a world where 1% can literally mean the difference between winning and losing. We work with over 5,000+ teams around the world, empowering coaches, managers and trainers in premier teams in the NFL, NBA, NHL, MLS, EPL, AFL, NRL, NCAA and more. We provide the information they need to optimize athletes' health, game-day readiness, and performance, as well as in-game tactics. Catapult is a sports technology company that empowers professional teams to make data-driven decisions. We deliver health, performance, video, and AI insights from the locker room to competitive environments, ensuring every decision is an opportunity to gain an advantage, sharpen performance, and build lasting success. WE WANT PEOPLE WHO ARE PASSIONATE ABOUT MACHINE LEARNING Catapult Sports is the global leader in athlete performance technology, trusted by elite clubs and national programs across every major sport on every continent. Our hardware and software platforms are on the training ground and in the arena with the best teams in the world — and we have been there, continuously, for over two decades. We are now building the AI layer that compounds everything Catapult has ever measured. The goal is ambitious: to become the indispensable intelligence partner for every coach and athlete in every sport — a system that connects the full depth of performance data and surfaces the right insight at the right moment, with the confidence to act on it. This role is the data foundation of that platform. You will own the infrastructure every AI agent reasons over: the data architecture, the feature store, the sport knowledge graph, and the evaluation framework that makes every recommendation trustworthy before it reaches a practitioner. This is not a support role or a pipeline maintenance job. It is the highest-leverage engineering position in Phase 1 of a platform that will define what performance intelligence means in professional sport. If you have built data infrastructure at scale — time-series, feature serving, graph — and you care deeply about whether the systems you build are actually trustworthy, not just functional, this is the role that will define your next chapter. WHAT YOU'LL DO • Develop and execute strategic workforce plans, coaching senior leaders on organisational design, change management, communication, and talent development to drive engagement, retention, and business performance., • Shape culture and values by identifying organisational needs and implementing impactful, scalable people solutions., • Drive a consistent, high-quality employee experience across the EMEA region, spanning three offices, 16 countries, and multiple employment frameworks., • Provide hands-on support and strategic partnership to leaders, teams, and employees, ensuring people strategies are aligned with business goals., • Partner with the Talent team to deliver strategic initiatives across learning and development, diversity, equity and inclusion, reward, workforce planning, and talent acquisition., • Mentor and lead regional P&C team members, fostering a high-performance culture., • Leverage data and insights to identify trends, inform decision-making, and influence strategic outcomes.WHAT YOU'LL NEEDNON-NEGOTIABLE, • 5+ years of production data engineering at scale, time-series databases, data lakes, feature stores in a real-time or near-real-time environment, • Experience building probabilistic evaluation frameworks or model calibration infrastructure, you understand the difference between a model that works and a model that is trustworthy, • Strong Python, Golang and SQL; experience with streaming ingestion (not batch-only) for live sensor or IoT data, • Graph database experience: you have designed schemas for complex relationship networks, not just queried existing ones, • Production experience with tenant-level data isolation at the infrastructure level, not just access control, • Comfort working directly with domain scientists and AI engineers; you translate data requirements into durable infrastructure, not just pipelinesSTRONGLY PREFERRED, • Experience with causal inference or counterfactual modeling over graph structures, • Background in sports technology, wearable sensor data, or biomechanics data, you understand what makes athlete time-series data structurally different from standard telemetry, • Experience building knowledge graphs with custom ontologies for a specific domain, • Familiarity with LLM evaluation frameworks and their limitations in probabilistic sport science contexts, • Experience working with AWS (ECS, EC2, Lambda, SNS, SQS, etc), GraphQL, REST, gRPC, Postgres, Mongo THE STACK No vendor names are locked, the capabilities are what matter, and the right engineer knows how to choose. The platform requires: real-time streaming ingestion; time-series optimised storage at lake scale; millisecond feature serving; graph database with custom sport ontology; causal and simulation modeling layer; full provenance and audit logging; per-club isolation at the infrastructure level. WHY CATAPULT? Catapult has spent twenty years collecting ground-truth athlete data from hardware on the body and on the field, across 40+ sports and 100+ countries. That depth of longitudinal, proprietary data is impressive. What we are building now is the intelligence layer that makes that data into something a coach can act on in the moment a decision is required. The data engineer who builds this foundation will have built the infrastructure layer underneath a platform that compounds in value with every decision made on it. The moat is not just what we know. It is how trustworthy that knowledge is — and that starts with what you build. COMPENSATION & BENEFITS The target Total Compensation range for this position is $157,945 - $259,480 per year. This range is inclusive of base salary and a target incentive plan (which may include equity, commission, or other bonus structures). Your specific compensation within this range will be determined by factors such as your geographic location, relevant experience, and job-related skills. In addition to this compensation, Catapult also offers generous paid leave and recognized company holidays, and the opportunity to participate in our comprehensive benefits package, including Health, Dental, and Vision insurance, and 401(k) retirement plan with company match. Whether you're interested in sports or not, you'll have the satisfaction of knowing your work is supporting some of the most successful teams and athletes on the planet! Research shows that while men apply for jobs when they meet an average of 60% of the criteria, women and other marginalized groups tend only to apply when they check every box. So if you have what it takes, but don't meet every single point in our job ad, please still get in touch! We would love to have a chat and see if you could be a great addition to our team. We are building the future of sports performance. Our priority is to find the brightest talent who can add to our team culture, actively contribute, and be excited about what they do. All offers of employment are subject to Catapult's positive prehire check. To find out more, please contact the Talent Partner for this role.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: ML Engineer (Coding Agent Experience) Type: Contract Compensation: $85/hour Location: Remote Role Responsibilities • Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks., • Review model-generated implementations involving model training, inference systems, MLOps, and LLM applications., • Identify bugs, edge cases, performance issues, and failure modes in AI models., • Compare outputs from multiple frontier models and assess their strengths and weaknesses., • Apply professional engineering judgment to realistic ML engineering scenarios. Qualifications Must-Have • 2+ years of professional machine learning engineering experience., • Experience building production ML systems, model deployment infrastructure, LLM applications, or AI-powered products., • Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools., • Ability to evaluate model-generated machine learning implementations and technical tradeoffs. Preferred • Experience deploying ML systems to production. Compensation & Legal • $400 per accepted task, • Compensation is tied to accepted work. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About Child Mind Institute We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Position Details: As the Senior Machine Learning (ML) Engineer, you will apply expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) to develop and implement innovative ML solutions that have the potential to make a significant impact in the lives of children and adolescents struggling with mental health issues. You will work with researchers, clinicians, and software engineers within DAIR and across departments to design, prototype, deploy and maintain applied ML solutions to enhance our digital mental health tools. This is an exempt, full-time, hybrid position located in our NYC headquarters office. The in-office requirement and schedule are subject to change based on the needs of the program and the organization. This position requires a minimum of four (4) days per week in the office, on a schedule determined by your supervisor. You Will: ● Design, implement, and maintain machine learning models with a focus on NLP and LLMs for real-world application in the mental health field. ● Perform analyses on large datasets using high-performance computing infrastructures. ● Collaborate with cross-functional teams to integrate ML solutions into research projects and mental health tools. ● Develop and maintain data pipelines for training, evaluating, and deploying models. ● Leverage expertise to create innovative solutions to complex problems using state-of-the-art ML methods. ● Ensure data quality, security, and compliance with privacy regulations. ● Perform additional job-related duties as assigned. You Have: ● Master's degree in Neuroscience, Psychology, Engineering, Computer Science or equivalent combination of education and experience. ● 8+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning). ● 8+ years of experience in at least one scientific programming language (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required. ● 5+ years of experience working in a Linux environment, using version control systems (e.g., GitHub), and software virtualization platforms (e.g., Docker). ● 3+ years of practical experience developing and designing production-oriented machine learning technologies and systems, including hands-on experience in NLP and modern ML/NLP.toolchains (e.g., pytorch, tensorflow, SpaCy, HuggingFace, NLTK). ● Experience can be concurrent with education. Our Benefits Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website. Pay Range The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. #LI-on-site, #LI-hybrid EEO Disclaimer Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind. We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws. In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL). Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at hr@childmind.org This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: ML Engineer (Coding Agent Experience) Type: Contract Compensation: $85/hour Location: Remote Role Responsibilities • Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks., • Review model-generated implementations involving model training, inference systems, MLOps, and LLM applications., • Identify bugs, edge cases, performance issues, and failure modes in AI models., • Compare outputs from multiple frontier models and assess their strengths and weaknesses., • Apply professional engineering judgment to realistic ML engineering scenarios. Qualifications Must-Have • 2+ years of professional machine learning engineering experience., • Experience building production ML systems, model deployment infrastructure, LLM applications, or AI-powered products., • Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools., • Ability to evaluate model-generated machine learning implementations and technical tradeoffs. Preferred • Experience deploying ML systems to production. Compensation & Legal • $400 per accepted task, • Compensation is tied to accepted work. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job DescriptionAssociate Cloud AI Engineer (Entry Level) Location: Various U.S. Federal Client Sites (Onsite) Travel: Travel required to customer sites throughout the Continental U.S. Salary: $80,000 – $100,000 Clearance: Active TS/SCI or the ability to obtain a TS/SCI clearance required About PGTEK PGTEK is a leading provider of enterprise IT modernization, cloud transformation, and AI solutions supporting U.S. Federal Government agencies. As we continue expanding our Google Cloud and AI practice, we're seeking motivated engineers who want to build their careers deploying next-generation cloud and AI technologies in secure government environments. This is an excellent opportunity for early-career cloud professionals, recent graduates, military veterans, and PGTEK Academy candidates looking to gain hands-on experience with Google Cloud Platform (GCP), enterprise AI, and federal cloud modernization projects. Position Summary As an Associate Cloud AI Engineer, you'll work alongside Senior and Lead Cloud AI Engineers to help deploy, secure, and support Google Cloud environments for federal customers. You'll participate in cloud migrations, infrastructure deployments, automation initiatives, and AI platform implementations while developing expertise in Google Cloud technologies and federal security best practices. This role offers significant mentorship and professional growth opportunities as you build toward becoming a Cloud AI Engineer and ultimately a Cloud Architect. Responsibilities • Assist with deploying and configuring Google Cloud Platform (GCP) environments, • Configure resource hierarchies, IAM roles, Cloud Identity, and organizational policies, • Support Google Cloud Assured Workloads implementations, • Deploy and manage Compute Engine virtual machines, Google Kubernetes Engine (GKE), Cloud Run, and enterprise AI services, • Configure cloud networking including VPCs, subnets, firewall rules, and network security policies, • Assist with Google Cloud storage, databases, and data services including:, • Cloud Storage, • Cloud SQL, • BigQuery, • Spanner, • Pub/Sub, • Dataflow, • Support Infrastructure as Code (IaC) deployments using Terraform, Config Connector, and Helm, • Utilize Google AI-assisted tools including Gemini CLI and Gemini Cloud Assist, • Monitor cloud environments using Cloud Monitoring, Cloud Logging, Cloud Trace, and Cloud Profiler, • Assist with identity, access management, encryption, and least-privilege security implementations, • Support compliance documentation and evidence collection for FedRAMP and DoD environments, • Collaborate with senior engineers throughout cloud migration and modernization projects, • Continuously expand Google Cloud knowledge through certifications, mentoring, and hands-on experience Requirements • Bachelor's degree in Computer Science, Information Technology, Engineering, or another STEM-related field (or equivalent practical experience), • 0–2 years of experience supporting cloud infrastructure or enterprise IT environments, • Basic understanding of cloud computing concepts, • Familiarity with Linux and networking fundamentals, • Experience using command-line tools and scripting is a plus, • Strong troubleshooting and analytical skills, • Excellent communication and willingness to learn, • Ability to work collaboratively in a fast-paced team environment Preferred Qualifications Experience or exposure to any of the following is a plus: • Google Cloud Platform (GCP), • Kubernetes, • Docker or container technologies, • Terraform or Infrastructure as Code, • Git and CI/CD pipelines, • Cloud networking, • Python, Bash, or PowerShell scripting, • AI or machine learning concepts, • Legacy-to-cloud migration projects Required Certifications, • Google Cloud Certified – Associate Cloud Engineer (ACE) (Required at hire or within the first 90 days of employment), • Google Cloud Certified – Professional Cloud Architect (PCA) (Preferred or active pursuit encouraged)Security Clearance, • Active TS/SCI clearance or eligibility to obtain a TS/SCI clearance is required. Benefits Our comprehensive benefits package for full-time salaried employees is effective immediately upon the start date. Benefits include comprehensive PPO medical coverage with access to a Health Savings Account (HSA) option, a vision plan, and dental insurance with the base dental plan option paid for by PGTEK. Life Insurance, Short and Long-Term disability, and Critical Illness insurance have premiums covered. Additionally, PGTEK offers a matching 401(k) plan and a discount on pet insurance through ASPCA Pet Insurance. An Employee Assistance Program is available at no cost to all employees. PGTEK offers a generous amount of PTO and Holidays, and an Education Assistance Program is available after 12 months of employment. ABOUT PGTEK PGTEK is a true consulting organization dedicated to helping clients achieve their business and technology objectives utilizing our decades of experience and business relationships. PGTEK invests in the educational advancements of our staff by providing the necessary resources to complete Professional and Business Certifications. Our company is our people, and we treat them like family. EOE, including disability/veterans

Job Description Mirage is an AI-native video platform that intelligently orchestrates production and editing through natural language. Our models leverage contextual awareness to execute the same creative decisions a professional editor would — dramatically improving productivity for experienced teams, while making video creation accessible to anyone. We’re an interdisciplinary team addressing some of the most difficult technical and creative challenges in generative media. As an early member of our team, you’ll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression. More about us Product (Captions by Mirage) Research (Seeing Voices, technical-white-paper) Updates (Mirage on X / twitter) TechCrunch, Forbes AI 50, Fast Company (press) Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, General Catalyst, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) About the role Backend engineering at Mirage isn’t narrowly defined. We work across product, platform, and machine learning—building the systems, services, APIs, and ML pipelines that power all of our product surfaces. You’ll own critical backend systems end-to-end, partnering closely with product, design, client, and AI teams to turn ambitious ideas into reliable, scalable production systems. This opportunity is ideal for engineers who enjoy solving complex technical problems while staying connected to product and user outcomes. Responsibilities Design, build, and own backend systems end-to-end, including services, APIs, data pipelines, and infrastructure that power our products Solve complex technical challenges across distributed systems, scaling, concurrency, and performance Integrate and operate large generative AI models in production—deploying, serving, and scaling systems that combine internal research and external capabilities to unlock new product experiences. Instrument, experiment, and iterate in production to continuously improve system and product quality Design and operate core platform infrastructure, including integrations with third-party providers, storage systems, security, and internal APIs What Makes You a Great Fit 2+ years of professional industry experience A track record of shipping high‑impact systems and/or products in production Exceptional problem solving fundamentals and ability to learn Excellent engineering taste combined with a strong sense of practicality and time-management Able to operate effectively in an extremely fast-paced environment as well as scope and deliver projects end-to-end Even better if... You have worked extensively with LLMs, generative media models, and have a pulse on where the technology is going You are grounded, collaborative, and willing to do whatever it takes to help the team win You have been a startup founder or an early engineer at one Benefits: Comprehensive medical, dental, and vision plans 401K with employer match Commuter Benefits Catered lunch multiple days per week Dinner stipend every night if you're working late and want a bite! Grubhub subscription Health & Wellness Perks Multiple team offsites per year with team events every month Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only. Compensation Range: $175K - $275K

Job Description At E Tech Group, joining our team means joining a group of passionate and forward-thinking experts. We're one of the largest engineering and system integration firms in the United States providing value for our clients through IT automation and control solutions for more than 30 years to the Life Sciences, Mission Critical, Metals & Mining, Warehousing & Distribution, and CPG/Food & Beverage industries. Our national scale allows us to help our clients develop and implement standardized solutions at any of their facilities regardless of physical location or the local resources available at that site. The Lead Engineer I/II role requires an individual have a diverse engineering skill set with the ability to work independently to perform all aspects of process automation engineering and system integration, including initial concepts, specifications, design engineering, documentation, project implementation, testing, startup, and training of operating and maintenance personnel. You will be a key member of a diverse team of professionals developing solutions for our client's most complex automation challenges. Location: Regional Southern CT / Tarrytown area travel to sites You will: • Lead or work on a project team responsible for the design, configuration, and testing of continuous and batch control applications., • Understand the project scope and financials and exercise good time management skills to plan & coordinate the work as part of a project team by developing project schedules and budgets in collaboration with project leadership and identify change orders and justify changes to Project Management ensuring completion of all project deliverables to the satisfaction of the client., • Anticipate and provide solutions to project leadership and/or customer giving high priority to customer satisfaction offering strong technical expertise and advisement as part of the project team., • Adapt to a flexible work schedule & travel, if necessary, to participate in the design, development, and start-up of control systems at the client's facility., • Act as an automation Subject Matter Expert, • Be an ambassador that prioritizes the success of E Tech Group, our clients, and the Careers of our associates. You have: • Hands on experience executing automation projects for process plants, minimum of 3-5 years in industry, preferably in Life Sciences domain., • BS Engineering degree or equivalent educational background, • Detail oriented with strong technical aptitude and desire for learning new technologies, • Knowledge of industry and regulatory standards, design criteria and codes relevant to Instrumentation and Controls, • ISA S88 Batch standard, • ISA S95 Controls System Architecture standard, • GAMP 5 & cGMP, • 21 CFR Part 11, • Demonstrated ability to develop process control system applications, utilizing Programmable Logic Controllers (PLC), Human Machine Interfaces (HMI), and Supervisory Control and Data Acquisition (SCADA) Systems, configuration of thin client server applications, design, developing & maintaining databases for data collection, configuring process historians and using reporting tools to present process data to operations & management, tuning control loops, providing control system startup services, troubleshooting existing control systems and providing control system qualifications., • Solid understanding of object-oriented software development & delivery methodologies, • Expertise with the design, implementation, maintenance and troubleshooting of virtual server-based control system architectures, and understanding of control system network topology, i.e. Ethernet, Ethernet/IP, ControlNet, DeviceNet, etc., • Knowledge of process instrumentation specification, installation & troubleshooting, and control panel design, check-out, commissioning & troubleshooting, • Hands-on experience rapidly troubleshooting and solving equipment & instrument-related issues during start-up and commissioning and perform complex system testing, • Experience working at customer sites supporting the installation & commissioning of equipment and systems., • A DNA comprised of collaboration and teamwork. We are seeking Application Knowledge in: • PLC Programming with Rockwell Studio5000, RSLogix5000, • Ability to program in RLL, SFC and ST, • Plant Pax module definition is required, • HMI Programming using one or more of Rockwell FTView ME and SE, Wonderware System Platform, Inductive Automation Ignition You may have: • MQTT, understanding of server architecture Benefits & Perks: • 401k + match + prompt enrollment. E Tech Group employees are 100% vested upon entry., • Prompt enrollment into Medical, Dental, and Vision benefits., • Generous paid time off that includes paid vacation, paid holidays, paid family leave and sick time off., • Learning and growth are key parts of the E Tech culture. We provide you with training and continuing education from day one, so you can advance your career. As an E Tech associate, you can unlock your greatest potential through challenges and opportunities. E Tech Group is an Equal Opportunity / Affirmative Action Employer. Applicants are considered for employment without regard to race, color, religion, sex, age, disability, military status, genetic information, gender identity, sexual orientation, citizenship status, or any other basis prohibited by law. E Tech Group will provide reasonable accommodations to qualified individuals with disabilities and for religious beliefs.

Job Description About Us Daat Lab is an AI venture studio that collaborates directly with businesses to transform deep domain expertise into valuable, commercial-grade AI products. We assist companies in identifying and validating high-impact, AI-feasible use cases. Our process spans from initial ideation and building a proof of concept to developing a fully commercializable product and successfully launching it in the market. We maintain an active presence across multiple sectors, including real estate, digital marketing/e-commerce, and health, with an ambitious goal of adding one new product to our portfolio every month. About the Role We are looking for a software engineer to help take concepts from ideas to product. You will work directly with our strategy team and business partners to identify high-value, AI-feasible opportunities, shape product direction, and execute quickly. You’ll own the full product cycle including: discovery, prototyping, building, shipping, and iteration, often across multiple projects at once. This is a hands-on role for someone who thrives in ambiguity, moves fast, and likes being close to customers. What You’ll Do: • Own multiple projects from end to end: brainstorming product concepts, generating POCs to be evaluated and owning builds to reach a minimum viable product., • Build full-stack applications (backend, frontend, data layer, infra, deployment, and monitoring)., • Experiment with AI functionality on each case: classical ML when needed (forecasting, scoring, classification), plus LLM/agent workflows and evaluation loops, • Establish engineering standards: code quality, CI/CD hygiene, logging/analytics, basic security, • Work directly with design partners and ship weekly updates Requirements • You should have:, • 3+ years shipping full-stack products end-to-end, • Strong Python and modern web stack (React/Next.js + APIs + DB + deployments), • Data processing and Machine learning fundamentals (pandas, Sklearn, pytorch/tensorflow, model evaluation), • Experience experimenting with LLMs and Agent frameworks (Open AI SDK, Google ADK, Langchain/Langraph, MCP), • Comfort with ambiguity, fast cycles, and customer-facing iteration, • What Success Looks Like:, • Ship multiple POCs that clearly validate feasibility and ROI, • Bring at least one concept to a usable MVP with design-partner feedback loops Benefits • Salary: $110 - 140k (full-time hire, will start as a 1099 contractor) Please note: Daat Lab is a separate entity, unrelated to Alchemy Worx.

Job Description Most of what makes American healthcare expensive isn’t medical care. It’s the machinery wrapped around it: middlemen taking a cut, fraud nobody stops, and billing systems designed to fight over payment instead of deliver care. The result is higher premiums, denied claims, surprise bills, and a system patients increasingly experience as adversarial. Arlo is rebuilding health insurance for small businesses from first principles: making sure as much of every premium dollar as possible goes to care instead of getting absorbed by the system around it. We do that by identifying fraud earlier, steering members toward higher-quality and lower-cost care, automating operational overhead, and eliminating vendors whose business exists mostly to take a cut. AI is the foundation that makes this work. We use it across underwriting, operations, clinical programs, and member experience to build an insurer that becomes more efficient as the technology improves. We’re already operating at meaningful scale: profitable, hundreds of millions in premiums, tens of thousands of members covered, and growing quickly through brokers, employers, and partners. Backed by Upfront Ventures, 8VC, and General Catalyst, with a team from Palantir, YC companies, and longtime healthcare operators. Arlo's underwriting is the core of the business, and it runs on machine learning at serious scale. We're hiring ML Engineer to build and own the infrastructure that powers it — from training models on tens of millions of patients and hundreds of millions of rows of claims data, to serving real-time quotes in seconds against inference-time datasets that run into the trillions of rows. You'll also build the tooling that lets our data scientists and actuaries iterate faster than ever. This is an ML infrastructure role with real room to do ML and data science. You'll own the platform, but you'll also have the opportunity to work alongside our data scientists and actuaries to test and evaluate your own ideas — not just support theirs. What You'll Work On Training infrastructure for underwriting Build and own the infrastructure layer that powers our underwriting model, trained on tens of millions of patients and hundreds of millions of rows of claims data. Make training reliable, reproducible, and scalable as data volume and model complexity grow. Real-time inference for quoting Build and own the API layer that produces quotes in seconds — serving a trained model against a much larger inference-time dataset, on the order of trillions of rows of claims across hundreds of millions of people. Own the latency, reliability, and scalability of the serving path the quoting product depends on. Accelerate data science iteration Make it as easy as possible for data scientists and actuaries to test new features and ideas. Build backtesting and validation infrastructure so model performance can be measured quickly and trustworthily. Remove friction from the path between an idea and a validated, production-ready model — make experimentation simpler than it's ever been. What We're Looking For A strong track record building ML or data infrastructure in production at scale. Deep proficiency in Python, with comfort in processing large datasets (Spark, Databricks, or equivalent). Experience with model training pipelines and/or low-latency model serving in production. Experience building tooling that makes other people faster — feature testing, experiment tracking, backtesting, or similar developer/researcher-facing infrastructure. The ability to own systems end-to-end, set standards, and operate reliable production infrastructure (SLAs, monitoring, on-call). Genuine interest in the modeling itself — you want to occasionally get your hands into the data science, not only the infrastructure. Nice to Have Prior experience in a regulated space like healthcare or insurance. Experience with MLOps tooling (MLflow or similar), feature stores, or experimentation platforms. Experience supporting data science or actuarial teams in production environments. Compensation $180,000 – $230,000 + equity Why Join Arlo: High ownership: You’ll get real responsibility from day one—our high-trust team empowers you to run with big problems and shape core parts of the company. Join an important mission: Your work directly influences how people access care and improves lives at scale. Growth & expansion: We’re moving fast, and as we grow, your scope will grow with us—new challenges, bigger opportunities, and rapid career velocity. Apply AI to a problem that matters: Instead of optimizing ads or cutting labor costs, you’ll use AI to fundamentally reimagine how people get healthcare. High pace, high collaboration: We operate with velocity, first-principles thinking, and a team that works closely, openly, and with ambition. Exact compensation inclusive of salary and any bonuses is determined based on a number of factors including experience and skill level, location, and qualifications which are assessed during the interview process. Arlo is an equal opportunity employer. We do not discriminate based on age, race, color, creed or religion, national origin, sexual orientation, gender identity or expression, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, status as a victim of domestic violence, or arrest or conviction record, as defined under New York State law. 🔒 Your safety matters to us. If you're selected to move forward in our hiring process, you'll hear directly from a member of our Recruiting team via an @joinarlo.com email address. We will never ask for personal or financial information outside of our formal onboarding process. When in doubt, please reach out to us to verify at: recruiting@joinarlo.com.

Job Description:\n\nSenior Cloud Systems AdministratorNew York, NYESSENTIAL FUNCTIONS AND DUTIESCloud Infrastructure, Architecture & GovernanceDesign, deploy, maintain, and continuously improve Cipriani’s Microsoft Azure cloud infrastructure across corporate and property environments.Support enterprise-scale Azure architecture aligned with Microsoft Cloud Adoption Framework and Well-Architected principles, including Management Groups, subscriptions, Azure Policy, RBAC, naming standards, tagging, resource organization, and platform automation.Manage and optimize Azure services including Azure App Services, Azure Functions, Azure SQL, Azure Storage, Azure Redis, Azure Service Bus, Azure Key Vault, Azure Monitor, Application Insights, Log Analytics, and related services.Define and support compute and platform patterns including virtual machines, VM scale sets, App Services, Functions, Azure Container Registry, and AKS/Kubernetes where applicable.Design, configure, and maintain Azure networking, including Virtual Networks, Private Endpoints, Network Security Groups, DNS, peering, routing, gateways, firewalls, VPNs, and hybrid connectivity.Support secure network topologies such as hub-and-spoke or Virtual WAN, including Azure Firewall, Application Gateway/WAF, Private Link, ExpressRoute/VPN, and DDoS Protection where needed.Implement scalable, resilient, secure, and cost-effective cloud architectures aligned with business, security, and operational requirements.Maintain clear architecture documentation, cloud diagrams, technical standards, support runbooks, and knowledge base materials.Cloud Migration, Modernization & Enterprise ServicesSupport cloud migration and modernization efforts across on-premises-to-Azure, cloud-to-cloud, hybrid, and legacy application environments.Participate in discovery and assessment activities including workload inventory, dependency mapping, application readiness, rehost/replatform/refactor recommendations, and migration wave planning.Support cutover execution and post-migration hypercare, including replication monitoring, test migrations, rollback planning, stakeholder communication, and stabilization.Support Azure data and analytics workloads, including Azure Data Factory, Azure Databricks, Azure SQL, and related data movement or processing platforms.Support emerging Microsoft cloud initiatives, including Azure OpenAI, Copilot readiness/governance, automation, analytics, and business intelligence workloads where applicable.Identity, Security & ComplianceImplement and maintain cloud security best practices, least-privilege access, secure infrastructure patterns, and identity-based access models.Administer Microsoft Entra ID/Azure AD, including Conditional Access, Privileged Identity Management, RBAC, app registrations, enterprise applications, hybrid identity, Entra Connect/Cloud Sync, and access governance.Support Zero Trust models and security baselines across users, devices, applications, and cloud resources.Configure and support Azure security services such as Azure Policy, Microsoft Defender for Cloud, Microsoft Sentinel, Defender XDR integrations, Key Vault, and secure score improvement initiatives.Support vulnerability remediation, security monitoring, patching, access reviews, audit evidence collection, and compliance initiatives.Support compliance requirements related to hospitality, payments, privacy, and enterprise technology, including PCI-DSS, SOC 2, ISO 27001, NIST, GDPR, HIPAA, HITRUST, or similar standards where applicable.Automation, Infrastructure as Code & DevOpsBuild, maintain, and improve Infrastructure as Code using Terraform, Bicep, ARM templates, or similar tools; Terraform experience is preferred.Create reusable modules, policy-as-code, deployment standards, and coding practices that improve consistency and reduce manual work.Build, maintain, and enhance CI/CD pipelines using Azure DevOps and/or GitHub Actions, including environment gates, drift detection, rollback support, and pre-deployment compliance checks.Automate recurring operational tasks through PowerShell, Azure CLI, Bash, Python, Azure Automation, or similar tools.Partner with technology teams to improve deployment velocity, release reliability, operational consistency, and platform efficiency.Monitoring, Reliability, Incident Response & Business ContinuityServe as a senior technical escalation point for critical Azure platform, infrastructure, application, networking, performance, and security incidents.Support high-priority incident response, including triage, mitigation, stakeholder communication, root cause analysis, corrective action, and post-incident review.Implement and maintain observability solutions using tools such as Azure Monitor, Log Analytics, Application Insights, Datadog, Workbooks, dashboards, alerting, and related platforms.Build and maintain dashboards, alerts, performance metrics, service-level objectives, operational reports, and recurring health checks.Support business continuity and disaster recovery solutions using Azure Backup, Azure Site Recovery, cross-region design, replication, recovery testing, and RTO/RPO validation.Cost Management, FinOps & Resource OptimizationPartner with Finance and business stakeholders to support Azure cost visibility, usage reporting, budget controls, resource optimization, and cloud spend accountability.Implement tagging standards, cost allocation practices, budget alerts, consumption reporting, rightsizing, reservations/Savings Plans strategy, and optimization roadmaps.Identify recurring platform, cost, performance, or governance issues and lead corrective actions that improve long-term stability and efficiency.Microsoft 365, AVD & End-User Cloud ServicesDesign, deploy, support, and optimize Azure Virtual Desktop and related remote access solutions, including host pool design, FSLogix profile strategy, Scaling Plans, and AVD Insights monitoring where applicable.Support Microsoft 365 cloud services including Intune, Exchange Online, SharePoint/OneDrive, Teams, Purview, and related administration as needed.Package, deploy, and maintain applications using Intune and other endpoint/cloud management platforms.Support tenant-to-tenant Microsoft 365 migrations, coexistence planning, and cutover activities where applicable.Support enterprise cloud services that improve secure access, business continuity, and operational efficiency across Cipriani’s corporate and property locations.Leadership, Documentation & Cross-Functional PartnershipLead technical discovery sessions, design discussions, proof-of-concept builds, and Well-Architected Reviews with clear recommendations and trade-offs.Produce Architecture Decision Records, design documentation, implementation plans, runbooks, and support handoff materials.Mentor junior IT team members, delivery partners, and help desk staff through design reviews, technical guidance, troubleshooting support, and knowledge sharing.Manage escalated technical issues while remaining calm, professional, service-oriented, and focused on business impact.Communicate complex technical concepts clearly to technical and non-technical stakeholders, including leadership, Finance, vendors, security partners, and business teams.Manage third-party IT vendors, MSPs, cloud providers, security partners, software vendors, and infrastructure vendors as needed.KNOWLEDGE, EXPERIENCE AND SKILLSMinimum of 7 years of experience in Azure Cloud Engineering, Cloud Infrastructure, Systems Engineering, DevOps, Site Reliability Engineering, Platform Engineering, or a related technology role.Deep hands-on expertise with Microsoft Azure cloud environments, including infrastructure, networking, identity, security, governance, monitoring, and operations.Strong experience with Azure Landing Zones, Azure Policy, Management Groups, subscriptions, RBAC, tagging, naming conventions, security baselines, and automated remediation.Strong Azure networking knowledge including DNS, load balancing, routing, firewalls, private networking, VPNs, peering, hybrid cloud connectivity, ExpressRoute/VPN, and secure network architecture.Strong Microsoft Entra ID/Azure AD experience, including Conditional Access, PIM, hybrid identity, app registrations, enterprise applications, and Zero Trust concepts.Hands-on experience with Infrastructure as Code, including Terraform, Bicep, or ARM templates; Terraform is preferred.Experience building and maintaining CI/CD pipelines using Azure DevOps and/or GitHub Actions.Strong scripting ability using PowerShell, Azure CLI, Bash, Python, or similar languages.Experience implementing monitoring and observability using Azure Monitor, Log Analytics, Application Insights, Datadog, Workbooks, dashboards, or similar platforms.Experience supporting cloud migration, modernization, and transformation of legacy, on-premises, hybrid, or multi-cloud environments.Experience serving as a senior escalation point for business-critical incidents, including mitigation, root cause analysis, stakeholder communication, and post-incident reporting.Ability to communicate technical concepts clearly to both technical and non-technical stakeholders while maintaining a service-oriented approach.Preferred QualificationsMicrosoft certifications such as Azure Solutions Architect Expert (AZ-305), Azure Administrator Associate (AZ-104), Azure Security Engineer Associate (AZ-500), Cybersecurity Architect Expert (SC-100), DevOps Engineer Expert (AZ-400), Azure Network Engineer Associate (AZ-700), or Microsoft 365 certifications.Experience with Azure Virtual Desktop, FSLogix, Azure Files or Azure NetApp Files, Scaling Plans, AVD Insights, remote desktop infrastructure, or cloud-based end-user computing environments.Experience with Docker, Azure Container Registry, Kubernetes, AKS, Azure Functions, Event Grid, Azure Front Door, Cloudflare, or similar modern cloud services.Experience with Azure Databricks, Azure Data Factory, Azure SQL, SQL Managed Instance, Synapse Analytics, Fabric, Cosmos DB, analytics workloads, data science, machine learning, AI, or business intelligence platforms.Experience with Microsoft 365 tenant-to-tenant migrations, Exchange Online, SharePoint/OneDrive, Teams, Purview, Intune, Copilot readiness/governance, Copilot Studio, or Microsoft Foundry.Experience supporting hospitality, restaurant, private club, hotel, retail, luxury, or multi-site operating environments.Familiarity with hospitality technology platforms such as POS, PMS, reservation systems, event management systems, access control, guest Wi-Fi, AV systems, and related integrations.Experience supporting enterprise or regulated environments with strong security, compliance, governance, and audit requirements.PHYSICAL, SCHEDULE AND LOCATION REQUIREMENTSAbility to work on-site in New York as business needs require and support multiple Cipriani corporate and property locations.Ability to participate in planned after-hours maintenance, urgent incident response, system upgrades, or cutover activities when needed.Ability to sit or stand for extended periods, work at a computer, and occasionally lift or move IT equipment up to 30 pounds.Senior Cloud Systems AdministratorNew York, NYESSENTIAL FUNCTIONS AND DUTIESCloud Infrastructure, Architecture & GovernanceDesign, deploy, maintain, and continuously improve Cipriani’s Microsoft Azure cloud infrastructure across corporate and property environments.Support enterprise-scale Azure architecture aligned with Microsoft Cloud Adoption Framework and Well-Architected principles, including Management Groups, subscriptions, Azure Policy, RBAC, naming standards, tagging, resource organization, and platform automation.Manage and optimize Azure services including Azure App Services, Azure Functions, Azure SQL, Azure Storage, Azure Redis, Azure Service Bus, Azure Key Vault, Azure Monitor, Application Insights, Log Analytics, and related services.Define and support compute and platform patterns including virtual machines, VM scale sets, App Services, Functions, Azure Container Registry, and AKS/Kubernetes where applicable.Design, configure, and maintain Azure networking, including Virtual Networks, Private Endpoints, Network Security Groups, DNS, peering, routing, gateways, firewalls, VPNs, and hybrid connectivity.Support secure network topologies such as hub-and-spoke or Virtual WAN, including Azure Firewall, Application Gateway/WAF, Private Link, ExpressRoute/VPN, and DDoS Protection where needed.Implement scalable, resilient, secure, and cost-effective cloud architectures aligned with business, security, and operational requirements.Maintain clear architecture documentation, cloud diagrams, technical standards, support runbooks, and knowledge base materials.Cloud Migration, Modernization & Enterprise ServicesSupport cloud migration and modernization efforts across on-premises-to-Azure, cloud-to-cloud, hybrid, and legacy application environments.Participate in discovery and assessment activities including workload inventory, dependency mapping, application readiness, rehost/replatform/refactor recommendations, and migration wave planning.Support cutover execution and post-migration hypercare, including replication monitoring, test migrations, rollback planning, stakeholder communication, and stabilization.Support Azure data and analytics workloads, including Azure Data Factory, Azure Databricks, Azure SQL, and related data movement or processing platforms.Support emerging Microsoft cloud initiatives, including Azure OpenAI, Copilot readiness/governance, automation, analytics, and business intelligence workloads where applicable.Identity, Security & ComplianceImplement and maintain cloud security best practices, least-privilege access, secure infrastructure patterns, and identity-based access models.Administer Microsoft Entra ID/Azure AD, including Conditional Access, Privileged Identity Management, RBAC, app registrations, enterprise applications, hybrid identity, Entra Connect/Cloud Sync, and access governance.Support Zero Trust models and security baselines across users, devices, applications, and cloud resources.Configure and support Azure security services such as Azure Policy, Microsoft Defender for Cloud, Microsoft Sentinel, Defender XDR integrations, Key Vault, and secure score improvement initiatives.Support vulnerability remediation, security monitoring, patching, access reviews, audit evidence collection, and compliance initiatives.Support compliance requirements related to hospitality, payments, privacy, and enterprise technology, including PCI-DSS, SOC 2, ISO 27001, NIST, GDPR, HIPAA, HITRUST, or similar standards where applicable.Automation, Infrastructure as Code & DevOpsBuild, maintain, and improve Infrastructure as Code using Terraform, Bicep, ARM templates, or similar tools; Terraform experience is preferred.Create reusable modules, policy-as-code, deployment standards, and coding practices that improve consistency and reduce manual work.Build, ma

Job DescriptionCareer Renew is recruiting for one of its clients a Technical Product Manager, Data and Internal Products - this is a fully remote position for US-based candidates. Salary range: 180-230K USD plus benefits plus equity.We are the leading provider of innovative identity and risk solutions, empowers institutions and individuals to transact confidently with one another by preventing synthetic fraud, identity theft, and emerging forms of first party fraud at the point of account application. Its solutions enable these secure transactions by leveraging a deep understanding of identity and risk, and are informed by machine learning models and insights from a team of top risk analysts. We proudly serve a broad array of financial institutions, from the largest U.S. banks to leading credit unions and fintech unicorns to help stop fraud at account opening and beyond. Headquartered in San Francisco, the company was founded in 2017 by Naftali Harris and Max Blumenfeld and it has raised $85M to date from investors including Andreessen Horowitz, Craft Ventures, and NYCA Partners, among others. We are looking for a Data Product Manager with 5+ years of experience to lead internal initiatives within our Tech organization. This person will build and maintain our core internal technology, spanning critical datasets, internal services, and the underlying platforms that support our products and analytics. What will you be doing? Own the product vision, roadmap, and execution for internal technical initiatives, with a strong focus on dataintensive systems. Lead cross-functional efforts to improve the quality, reliability, and usability of internal systems, including datasets and shared services. Drive long-term initiatives to future-proof internal data and technology assets, ensuring they scale with evolving needs. Partner with engineering, data science, solutions analytics, and product stakeholders to understand use cases and clarify requirements. Manage prioritization across competing internal demands, balancing immediate impact with long-term strategic value. Key Requirements 5+ years of experience with data-heavy or platform-oriented products, with a focus on ML/Data Science strongly preferred. Hands-on experience working with large datasets (e.g., Spark, Databricks, BigQuery, Snowflake). Strong understanding of big data concepts, data pipelines, data cleaning/normalization, and data modeling. Demonstrated ability to partner effectively with engineering, data science, and analytics teams on deeply technical problems. Experience driving large internal initiatives with multiple stakeholders and managing cross-functional dependencies. Tech stackSpark, Databricks, BigQuery, Snowflake Requirements: 5+ years of experience PM, founder, or equivalent cross-functional product role (Mandatory) Resume must show both big data product work and internal tooling experience with specific projects named (Mandatory) At least 1 year at a Series B/C startup; current or most recent role must be at a startup, not big tech (Mandatory) Prior engineering title required (SWE, data scientist, ML engineer, or highly technical data analyst) (Mandatory) Data pipeline experience required: production-level work with data ingestion, cleaning/normalization, and modeling with specific tools cited (Mandatory) Python and AWS familiarity required; big data tooling (Spark, Databricks, BigQuery, Snowflake, or Redshift) must be explicitly named on resume (Mandatory) Domain experience in fintech, payments, fraud, or identity is a significant differentiator (Nice-to-have) Located and authorized to work in the United States. (Mandatory) Why you should join Market-leading fraud prevention company - We're the go-to identity verification solution for major US banks, credit unions, and fintech unicorns, processing hundreds of millions of identities. $85M raised from top-tier investors - Backed by Andreessen Horowitz, Craft Ventures, and NYCA Partners with strong financial runway. Forbes Fintech 50 recognition - Named to the prestigious list every year since 2023, plus we made history as the first eCBSV provider. Competitive compensation package - $180K-$230K base salary plus equity and comprehensive benefits including employer-paid health insurance for you and dependents. Remote-first culture - Work from anywhere in the US with flexible PTO and regular company-wide in-person events.

Job Description About G20 Group G-20 Group is a leading cross-asset trading firm active in delta-one and derivatives markets. Established in 2010, G-20 offers liquidity solutions, treasury management, and institutional advisory services. We are supported by an outstanding team of professionals, with a robust global presence in EMEA, Americas, and APAC. Role Overview We are hiring a Prediction Markets Quant Engineer to build research and trading infrastructure for operating in prediction markets (event contracts) across multiple venues. You will design models that estimate event probabilities, detect mispricing, size positions, and manage risk – then translate them into reliable systems that run end-to-end (data → forecasting → execution → monitoring). This role sits at the intersection of quant research, engineering, and market microstructure, and is ideal for someone who enjoys shipping robust systems as much as developing models. Responsibilities Modeling & Research • Develop probabilistic models to forecast outcomes of real-world events (e.g., elections, macro releases, sports, policy decisions, industry milestones)., • Combine heterogeneous signals (time series, text/news, market data, polling/alternative data, fundamentals, expert priors) into calibrated probability estimates., • Build pricing and edge frameworks: fair value, uncertainty bands, expected value, and model drift/regime diagnostics., • Design evaluation methods (proper scoring rules like log loss/Brier score, calibration curves, back-tests with realistic costs and constraints). Trading & Market Design (Applied) • Identify and exploit mis-pricings across contracts/venues; design cross-market arbitrage and relative-value strategies where feasible., • Build position sizing and risk frameworks (Kelly variants, drawdown/risk budgets, scenario stress tests, liquidity/impact-aware sizing)., • For multi-outcome markets: enforce probability coherence (no-arb constraints, normalization) and portfolio optimization across correlated contracts. Engineering & Production • Build data pipelines and real-time services for ingesting, cleaning, and versioning market + external data., • Implement execution tooling: order management, smart routing (where applicable), monitoring, and automated safeguards., • Create dashboards/alerts for performance, exposure, model health (calibration, drift), and operational integrity., • Ensure reproducibility: experiment tracking, model registry, CI/CD, and robust testing. Collaboration & Governance • Work closely with trading/risk/compliance stakeholders to translate research into controlled deployment., • Document models, assumptions, failure modes, and operating procedures; participate in incident reviews and continuous improvement. Requirements • Degree in Quantitative Finance, Mathematics, Computer Science, Statistics, or a related quantitative field., • Strong engineering skills with Python (required); experience with production systems and data engineering., • Solid foundation in statistics, probability, and machine learning (calibration, uncertainty, causal pitfalls, time-series)., • Experience building backtests and evaluating predictive models with appropriate metrics (e.g., log loss/Brier, calibration)., • Familiarity with trading concepts: expected value, position sizing, risk budgeting, correlation, liquidity constraints., • Ability to communicate clearly about model assumptions, limitations, and risk., • Some schedule flexibility may be required around major event windows, • Self-motivated, detail-oriented, and comfortable working in a dynamic, startup-like environment. Preferred / Desirable Experience • Prior work in forecasting, sports analytics, political modeling, event-driven trading, or market-making/liquidity modeling., • Experience with NLP for news/social/media signals; knowledge graphs or information retrieval for event resolution., • Knowledge of prediction market mechanics (order books vs AMMs, fee structures, market manipulation/anti-manipulation signals)., • Proficiency with SQL; experience with streaming systems (Kafka), workflow orchestration (Airflow), and cloud (AWS/GCP/Azure)., • Experience with Bayesian methods, probabilistic programming (Stan/PyMC), or ensemble methods., • Familiarity with rigorous experimentation: online/offline evaluation, data leakage prevention, and model governance. Tech Stack • Python, SQL, pandas/numpy/scipy, PyTorch/sklearn, • Airflow/dbt, Kafka (or equivalents), Postgres/BigQuery, • Docker, Kubernetes (optional), CI/CD (GitHub Actions), • Observability: Prometheus/Grafana, OpenTelemetry (or equivalents) Locations and Right to work: This role can be based out of our Zurich, London, New York or Hong Kong office. Only candidates who possess the pre-existing right to work in one of the locations above without company sponsorship need apply. Join G-20 and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.

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

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: AI/ML (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What Youll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough. #ZR

Job DescriptionAbout Amigo Amigo partners with healthcare organizations to deploy robust AI infrastructure that directly serves patients and providers. Our agents handle clinical workflows and patient engagement across the entire journey: pre-visit intake, care navigation, post-visit care plans, patient monitoring, and more. We're fresh off our Series A backed by Tier 1 investors like Madrona, General Catalyst, and Optum Ventures. Our work is validated with leading academic medical institutions. Our agents have reached 3M+ patient encounters and are on track to 10x this year. About this role As a Staff Data Engineer at Amigo, you'll build the data layer everything else runs on. Healthcare organizations already keep their data in EHRs, schedulers, and warehouses. Your job is to pull that data in, keep it current, and turn scattered records into one accurate picture of each patient and provider. If the data is wrong or stale, everything above it breaks, so correctness is the work, not a nice-to-have. You'll own it end to end: ingestion, transformation, modeling, and the query tools teams use. What you'll do Building integrations that ingest and sync customer systems (EHRs, schedulers, warehouses, APIs) Designing transformations that turn messy source data into one normalized model Building and optimizing data pipelines that keep one clean profile per patient Powering natural language query interfaces over healthcare data Owning data modeling, query performance, and data freshness at scale What we're looking for Built and operated production data platforms that ingest, process, and serve millions of events with high reliability Designed scalable streaming and batch pipelines, data models, and ETL/ELT workflows for production systems Possess deep expertise in SQL, distributed query optimization, and large-scale data processing Have hands-on experience with modern data platforms such as Databricks, Snowflake, Delta Lake, Apache Iceberg, Spark, Kafka, or similar technologies Designed event-driven architectures, change data capture (CDC), online serving systems, or reverse ETL pipelines Built connector frameworks or ingestion platforms that integrate enterprise applications and third-party data sources Balance performance, scalability, cost, and operational simplicity when designing distributed systems Own production systems end-to-end, including architecture, implementation, monitoring, reliability, and incident response Value simple, maintainable solutions, communicate directly, and maintain a high engineering bar with a low-ego, collaborative approach You can work on site in New York City or San Francisco Nice to have Experience building data platforms in regulated or high-reliability industries such as healthcare, financial or services Familiarity with healthcare data standards such as FHIR, HL7, or other clinical interoperability frameworks Experience building data platforms that power production AI, machine learning, or agentic applications Familiarity with modern lakehouse technologies such as Delta Lake, Apache Iceberg, or Unity Catalog Experience with streaming platforms, change data capture (CDC), or event-driven architectures Experience operating large-scale data platforms with a focus on reliability, observability, and cost efficiency Benefits (available to Full-Time Employees) Health & Wellness Comprehensive health, dental, and vision insurance Daily catered lunch and dinner Mental health support and wellness coaching Flexible wellness stipend for fitness, therapy, or personal growth Growth & Development Annual learning budget for courses, books, or conferences Conference attendance budget for professional development Annual team offsite Academic collaboration opportunities Unlimited PTO Our Core Values Patients Win, We Win If patients aren't getting better care, we haven't earned the right to scale. Every internal decision gets pressure-tested: does this make patients' lives better? If we can't draw the line, we question why we're doing it. High Standards, High Care We hold a high bar for the team because patients are counting on us to get this right. But high standards only work with genuine investment in each other. You can take risks, admit mistakes, and challenge ideas—not despite our standards, but because of them. Thoughtful Urgency We move fast by default, but speed without judgment is recklessness. The discipline is knowing which decisions are reversible vs. not. In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere they must be. We build the muscle to do both. Intensely Measured We instrument patient outcomes, provider ROI, system performance, and clinical accuracy. But data without action is surveillance. Every metric should have an owner, a threshold, and a response plan. If we're measuring something but never acting on it, we stop measuring it. Who Builds With Us Low ego: Politics and territory don't interest you. The best ideas win, regardless of who has them. Direct: You say the hard thing, challenge ideas openly, and commit fully once decided. High agency: You thrive on trust rather than instruction. When you see something is broken, you fix it. You don’t file tickets and wait for someone else. Bar of excellence: You hold yourself to a bar most people wouldn't, and you want teammates who do the same. Skeptical: You push back on rules that don’t make sense and question assumptions that haven’t earned their place. Compensation Range: $260K - $300K

Job Description About Our Client Our client is an established, venture-backed AI infrastructure and security company helping enterprises build, deploy, and secure AI applications at scale. Their platform powers mission-critical AI workloads for some of the world's most innovative organizations, enabling customers to operate AI systems reliably, securely, and efficiently. As AI adoption accelerates, our client is building the next generation of infrastructure products that sit at the foundation of modern AI platforms. They are seeking a Senior Backend Software Engineer to help design and develop the core systems that will power the future of AI. The Opportunity As a Senior Software Engineer, you will play a key role in designing and building scalable backend services, distributed systems, and cloud-native infrastructure that support cutting-edge AI workloads. You will work closely with product, platform, and infrastructure teams to develop new products from the ground up while helping shape technical direction and engineering best practices across the organization. This is an opportunity to join a high-growth company with strong product-market fit, meaningful customer adoption, and a clear path toward future liquidity. What You'll Do • Design, build, and scale highly available backend services and APIs powering AI infrastructure products., • Develop cloud-native systems that support large-scale AI and machine learning workloads., • Architect distributed systems with a focus on reliability, security, performance, and scalability., • Build and maintain Kubernetes-based infrastructure and services., • Collaborate closely with product, infrastructure, and security teams to bring new products to market., • Contribute to technical architecture decisions and long-term platform strategy., • Mentor engineers and help establish engineering best practices across the organization., • Improve observability, automation, deployment workflows, and operational excellence. Required Qualifications • Bachelor's degree in Computer Science or a related technical field., • 5+ years of professional backend software engineering experience., • Strong experience designing and building scalable backend systems in production environments., • Deep expertise with Kubernetes and cloud-native technologies., • Experience building distributed systems, microservices, and APIs., • Experience working in a startup or high-growth technology environment., • Strong understanding of software architecture, system design, and engineering best practices., • Excellent communication and collaboration skills. Preferred Qualifications • Experience building infrastructure, platform, developer tooling, or security products., • Experience with AI/ML infrastructure, model deployment platforms, or large-scale data systems., • Experience with public cloud platforms such as AWS, GCP, or Azure., • Familiarity with containerization technologies., • Experience operating in fast-paced environments with a high degree of ownership and autonomy. Why Join? • Competitive compensation package, including meaningful equity participation., • Clear path to future liquidity as the company continues to scale., • Opportunity to build foundational products at the intersection of AI, infrastructure, and security., • Significant technical ownership and influence on product direction., • Collaborative, high-caliber engineering culture., • Chance to work on complex technical challenges shaping the future of AI infrastructure. Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Job Description 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. Our Sales Solutions Consulting team is in the midst of an exciting transformation - SSC 2.0 is the engine powering our vision. We are redefining what it means to be a trusted advisor in today's fast-paced, mission-driven environment. Our Sales Solutions Consultants (SSCs) don't just demo features - they tell stories, co-create with customers and partners, and help shape strategy with technical credibility and business insight. The Role We are hiring a Partner Sales Solutions Consultant to help scale Appian's impact across the North America commercial partner ecosystem. This is a strategic individual contributor role for a leader who can influence far beyond any one opportunity. While this is not a people-management position, it is a highly visible role that partners closely with Appian's alliance, sales, and solutions leadership to shape how we build partner capability, develop repeatable joint solutions, and drive partner-led growth in the market. You will work across a portfolio of strategic consulting and alliance partners to strengthen technical readiness, inform partner strategy, and create repeatable motions that expand Appian's reach. Your success will come not only from supporting partner-led opportunities, but from helping define the approach, priorities, and plays that enable partners to independently position, sell, and deliver Appian solutions at scale. What You'll Do You will serve as a strategic technical advisor to Appian's partner ecosystem across Commercial North America. In this role, you will: Shape partner strategy and execution. Partner with Appian leadership, Alliance Managers, and field teams to influence how strategic partners take Appian to market. Help define where to invest, which solution plays to prioritize, and how to increase partner-led scale across the region. Build partner capability. Drive partners to confidently position and deliver Appian by developing reference architectures, solution patterns, and AI-enabled blueprints. Lead workshops, technical briefings, and acceleration sessions that improve partner readiness and independence. Help them build dedicated Appian practices. Drive pipeline with and through partners. Support joint go-to-market efforts through account mapping, industry plays, demand generation, and partner-led opportunity development. Help partners identify where Appian can create differentiated value and accelerate pipeline creation. Be the technical resource for partner created GTM solutions built on the Appian platform. Contribute the technical perspective and point of view into thought leadership assets. Provide technical leadership in partner-led opportunities. Guide partners through discovery, solution shaping, proof-of-value efforts, and architectural alignment. Support multiple partner-sourced and partner-led opportunities simultaneously, with a focus on repeatability and long-term leverage, not just point execution. Connect strategy across the ecosystem. Act as a bridge between partners and Appian's internal sales and product and engineering teams. Work closely with field-aligned SSCs and leadership to ensure partner motions are aligned to account priorities, customer needs, and broader regional strategy. Translate technology into business value. Help partners connect Appian's process automation and AI capabilities to measurable business outcomes. Support executive-level conversations that position Appian within broader transformation agendas and industry trends. Inform Appian's direction with market insight. Capture recurring architectural patterns, partner feedback, and ecosystem signals, and synthesize them into actionable input for Product, Engineering, and leadership. Bring a market-backed point of view on what partners need to grow faster and deliver more effectively. What We're Looking For You are a strong fit for this role if you combine partner-facing experience, technical credibility, and strategic judgment. You know how to operate as a senior individual contributor—someone who can influence leaders, shape direction, and drive execution without direct authority. We're looking for candidates with: 5+ years in pre-sales, sales engineering, solutions consulting, or client-facing strategic consulting Prior partner experience is required: go-to-market, solution development, relationship management, and demonstrated ability to build partner-led pipeline and capability A deep understanding of how services firms build offerings, take solutions to market, and engage customers Experience with enterprise technology platforms such as BPM, low-code, workflow, automation, and application development platforms The ability to influence senior stakeholders and contribute to go-to-market or partner strategy Strong executive communication, workshop facilitation, and partner enablement skills Comfort operating across multiple stakeholders, opportunities, and priorities simultaneously Experience in a major consulting firm or similar advisory environment is strongly preferred, but not required. Technical and Innovation Profile The ideal candidate is energized by emerging technology and can help partners translate new capabilities into practical offerings and market impact. You should bring: Familiarity with enterprise production environments, including application servers, web servers, and databases Experience exploring new solution patterns before they are fully standardized Strong interest in AI and machine learning, including the ability to explain how these capabilities create value for partners and customers The ability to shape scalable joint solutions that align with partner strategy, customer priorities, and Appian's broader go-to-market direction Basic Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience 5+ years as a successful pre-sales engineer, or 6+ years in a client-facing professional services or consulting role supporting enterprise technology sales Ability to travel up to 70% within the assigned region How Success Is Measured Success in this role is measured by ecosystem impact and strategic leverage, including: Growth in partner-sourced and partner-influenced pipeline and ACV Improved scale, progression, and win rates in partner-led opportunities Increased partner technical maturity, independence, and repeatability Stronger alignment between partner motions and regional go-to-market priorities Broader adoption of solution patterns, joint plays, and offerings across the partner portfolio #LI-MB1 The base salary range per provided represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range$125,000—$250,000 USD 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. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country—please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit appian.com. [Nasdaq: APPN] Follow Appian: LinkedIn, Youtube, Instagram, Facebook 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 ReasonableAccommodations@appian.com. 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

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

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.What You'll Do: CoreWeave is seeking a highly skilled and motivated Systems Kernel Engineer to join our HAVOCK Team, reporting into the Manager of Systems Engineering. In this role, you will be a key contributor to the stability, performance, and evolution of CoreWeave's Linux based infrastructure. As a kernel generalist, you will be responsible for debugging kernel-level issues, analyzing and fixing crashes, panics, dumps, and upstreaming fixes and features that improves the performance and reliability of our stack. This position is ideal for someone who thrives in low-level systems engineering, and understands how modern workloads stress kernels, and is excited to work across a diverse hardware/software ecosystem including CPUs, GPUs, DPUs, networking, and storage. Kernel Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kubelet Our Team's Stack: • Python, Go, bash/sh, C, • Prometheus, Victoria Metrics, Grafana, • Linux Kernel (custom build), Ubuntu, • Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs, • Docker, kubernetes (k8s), KubeVirt, containerd, kubelet Focus Areas: • Kernel Debugging – Analyze kernel crashes, oopses, panics, and dumps to identify root causes and propose fixes., • Upstream Contributions – Develop patches for the Linux kernel and upstream them where applicable (networking, storage, virtualization, GPU/DPU enablement)., • Stack-Wide Support – Ensure kernel support and stability across:, • Virtualization (KubeVirt, QEMU, vFIO), • Container runtimes (containerd, nydus, kubelet), • HPC/AI workloads (CUDA, GPUDirect, RoCE/InfiniBand), • Kernel-Hardware Enablement – Support new hardware bring-up across Intel, AMD, ARM CPUs, NVIDIA GPUs, DPUs, and NICs., • Performance & Stability – Tune kernel subsystems for latency, throughput, and scalability in distributed HPC/AI clusters.About the role:, • Triage and fix kernel crashes and performance regressions., • Develop, test, and upstream kernel patches relevant to CoreWeave's hardware/software environment., • Collaborate with hardware vendors and the Linux community on feature enablement., • Implement diagnostics and tooling for kernel-level observability., • Work closely with HPC and Fleet teams to ensure kernel readiness for production workloads., • Provide kernel-level expertise during incident response and root-cause investigations.Who You Are:, • 5+ years of professional experience in Linux kernel engineering or systems-level development., • Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field., • Deep understanding of kernel internals (memory management, scheduling, networking, storage, drivers)., • Experience debugging kernel crashes, dumps, and panics using tools like crash, gdb, kdump., • Strong C programming skills with the ability to write maintainable and upstream-quality code., • Experience working with kernel modules, drivers, and subsystems., • Strong problem-solving abilities with a "full-stack" systems perspective. Preferred: • Contributions to the Linux kernel or related open-source projects., • Familiarity with virtualization (KVM, QEMU, VFIO) and container runtimes., • Networking stack expertise (InfiniBand, RoCE, TCP/IP performance tuning)., • GPU/DPU bring-up and driver experience., • Experience in HPC or large-scale distributed systems., • Familiarity with QA/QE best practices, • Experience working in Cloud environments, • Experience as a software engineer writing large-scale applications, • Experience with machine learning is a huge bonus The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description At Philo, we're a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we're building the TV experience that we've always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences. Senior Backend Software Engineer (Video Engineering) Video is at the core of Philo and what customers engage with the most: watching their favorite shows. The Video Infrastructure team is crucial for delivering on this high expectation, and — together with the Ads team — for generating significant revenue through advertising. We own the systems that get every frame of Philo to every screen: live and video on demand transcoding, DRM and license servers, manifest generation that holds up under peak live events, and Server-Side Ad Insertion (SSAI). We support playback across all major streaming platforms, and partner closely with the Ads, Client, and Data teams to build out the end-to-end video player and ad experience. We increasingly apply machine learning to inspect both content and ads — surfacing quality issues, optimizing encodes, and improving the viewing experience in ways that weren't possible a few years ago. Philo's video streaming infrastructure is highly distributed, horizontally scalable, and harnesses the power of cloud computing to deliver video at exabyte scale. Our video pipeline, developed in-house, uses industry-leading commercial and open source components to transcode, package in real-time, and generate HLS and DASH manifests on a per-user, per-session basis. The team also builds and maintains highly available RESTful web services that dynamically scale to meet the ever-increasing demands of simultaneous video streams across our platform. We are seeking an enthusiastic Senior Software Engineer to help us build and optimize the next generation of our video ingest, transcode and delivery platform. This is a high impact role that influences every video stream that Philo serves. If you endeavor to see how your work directly impacts end-users this is the role for you. Responsibilities: • Design, implement, deploy and monitor the next generation of Philo's video streaming pipeline, using a combination of in-house technology and open source software., • Collaborate with content partners to engineer systems that deliver the best possible TV watching experience for Philo's users., • Build scalable and resilient data pipelines for ingesting video and analytics events using distributed computing and micro-services architecture principles., • Collaborate with internal stakeholders across video delivery, ad operations, and data science teams to ensure we are measuring and optimizing every aspect of our video delivery process and our users' viewing experience., • Drive continuous improvements to the reliability, performance, latency and security of Philo's video streaming platform., • Drive evaluation, selection, and development of video encoding technologies to optimize video quality and reduce CDN delivery costs., • Assist our client engineering teams in testing and improving video streaming QoE as we develop Philo apps for several new platforms.Qualifications:, • 8+ years of software development experience., • Proven track record of building highly efficient and highly available software using Golang, Java, C++ or similar programming languages., • Deep experience with concurrent programming., • Experience building concurrent HA and high throughput RESTful web services., • Experience operating in cloud computing environments using modern software deployment technologies (e.g. Docker, Kubernetes)., • Demonstrated ability to own and drive complex architectural/development tasks to completion by following Scrum/Agile methodologies., • Experience working with large amounts of data and making data-based decisions to prioritize projects, including familiarity with relational and non-relational databases and modern data warehousing and querying., • Experience and aptitude for collaborating and communicating with internal and external stakeholders in both business and technical roles., • Familiarity with cloud video transcoding services such as AWS Elemental and Azure Media Services. Knowledge of FFmpeg is a plus. Ideal Qualifications: • Experience building or integrating audio and video codecs such as AAC, H.264/AVC, H.265/HEVC and AV1., • Experience with video quality assessment tools such as VMAF, SSIM, etc., • Experience with video streaming protocols such as MPEG-DASH, HLS, MPEG TS, fMP4, CMAF, Zixi, and SRT., • Experience with OTT video packaging and DRM., • Familiarity with Server-Side Ad Insertion (SSAI). Bonus Points: • Experienced mentor with a talent for motivating, leading, and inspiring teams to achieve high levels of success. We are language agnostic, but most of our backend code is written in Golang, Ruby and NodeJS, with some C++ and Python. Our services run on Kubernetes, and we practice continuous deployment across all of our systems. More about Philo At Philo, we're a company that puts people first—both our subscribers and our team. We empower our colleagues to do their best work while supporting one another in pursuing shared goals. We value pragmatism, pride in our work, and passion, with transparency and openness as fundamental parts of our culture. We're committed to diversity, equity, inclusion, and accessibility as we grow the Philo team and shape the future of TV. We believe that a diverse range of voices and perspectives enables us to innovate faster and create the best experiences for our subscribers. Philo is proud to be an Equal Opportunity Employer. We're committed to supporting every candidate and employee. If you need an accommodation at any stage of the process, please email recruiting@philo.com and we'll work with you to meet your needs. Philo offers 70+ top-rated networks, including AMC, BET, CMT, Comedy Central, Discovery Channel, Food Network, Hallmark Channel, HGTV, HISTORY, Investigation Discovery, Lifetime, MTV, Nickelodeon, OWN, VH1, We TV, and more. It also includes all the groundbreaking originals and blockbuster movies available with AMC+ and access to HBO Max Basic With Ads and discovery+. Our service also includes 100+ free channels and premium add-ons like STARZ and MGM+. Our extensive library boasts over 85,000 titles, and our unlimited DVR allows users to save their favorite shows and movies for up to a year, skipping ads for a seamless viewing experience. Stream on up to three devices simultaneously, whether on your phone, tablet, laptop, or TV using Roku, Apple TV, Fire TV, Samsung TV, Android TV, Vizio TV, or Chromecast. Philo is headquartered in San Francisco, with offices in New York City and Cambridge, MA. Our leadership team includes alums from HBO, Tubi, and Meraki, and is backed by NEA and industry partners like Warner Brothers Discovery, Viacom, AMC, and A&E. Join us at Philo and be part of a team that's shaping the future of TV! Projected Start Date: ASAP Status: Full-time Location: San Francisco, CA, Brooklyn, NY, Cambridge, MA, or fully remote within the U.S. Compensation: Includes annual salary, company stock options, and health benefits. Salary is determined by experience and location: • San Francisco, New York City: $180K - $235K, • Boston, DC Metro, Los Angeles, Seattle: $170K - $225K, • Denver, Atlanta, Austin, Las Vegas, Sacramento, Chicago: $160K - $215K, • Texas, Florida: $150K - $205K We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team: • Full health, dental and vision coverage for you and your family, • 401(k) plan with employer contributions (we match 100% of deferrals up to 3% of pay and 50% of the next 2% of pay), • Flexible working hours, • Up to 20 weeks of fully paid parental leave, • Unlimited paid time off for vacation and sick leave, • $2,000 annual vacation bonus (we pay you to take a two week vacation), • $5,250 annually for professional development and educational assistance, • $1,250 annual home office + TV stipend during first year of employment ($250 annually thereafter), • $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices, plus generous commuter benefits ($315/month towards transit, rideshare, bike rental, or parking at our HQ office in San Francisco), • Free Gympass subscription — an all-in-one corporate benefit that gives employees the largest selection of gyms, studios, classes, training and wellness apps, • Dog-friendly office, • And much more! For California Residents: Philo's CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Job DescriptionWe are seeking a Senior CRM Solutions Developer & Software Engineer to design, develop, and enhance solutions across Microsoft Dynamics CRM and Dynamics 365 environments. This role will work across the full solution lifecycle—from requirements and architecture through development and deployment—supporting both legacy CRM systems and modern cloud platforms. The ideal candidate is a hands-on engineer who can build scalable CRM solutions, integrate enterprise systems, and contribute to the modernization of customer-facing platforms in a fast-paced Agile environment.Responsibilities • Design and develop solutions across Microsoft Dynamics CRM (On-Prem) and Dynamics 365 Online environments, • Collaborate with architects, developers, and business stakeholders to deliver scalable CRM solutions, • Build and customize CRM components, including plugins, workflows, Power Automate flows, PCF components, and integrations using Web API/SDK, • Support deployments and environment management across CRM On-Prem and Dynamics 365 Online platforms, • Participate in Agile sprint planning, effort estimation, and release delivery, • Troubleshoot and resolve complex issues across CRM platforms and integrated enterprise systems, • Mentor team members and promote best practices across CRM, DevOps, and CI/CD development processes, • Contribute to broader engineering initiatives, including .NET services, Azure integrations, and enterprise applicationsRequired Experience, • 6+ years of Microsoft Dynamics CRM / Dynamics 365 development experience, • Strong hands-on experience with C#, ASP.NET, and .NET development frameworks, • Experience developing CRM solutions using plugins, workflows, Power Automate, entities/tables, and custom integrations, • Experience working with SQL Server and relational database design (T-SQL), • Experience using CRM SDK, Dataverse Web API, and modern integration approaches, • Experience working within Agile environments with source control and CI/CD practices, • Strong problem-solving skills with the ability to troubleshoot complex enterprise systemsPreferred Experience, • Experience supporting CRM On-Prem to Dynamics 365 migrations or upgrades, • Familiarity with Power Platform components (Power Apps, Power Automate, custom connectors), • Experience working with Azure services and cloud integrations, • Experience creating CRM reports using SSRS, • Familiarity with JIRA or similar Agile project management toolsActual compensation may vary based on factors such as role, work experience, education and training, skill level, market conditions, and the candidate's geographic location. We offer a competitive compensation package, including a base salary, comprehensive health care coverage, disability benefits, a 401(k) match, life insurance, paid personal days, paid holidays, and paid time off, among other benefits. For those in eligible roles, a discretionary bonus may be awarded based on company performance and in recognition of individual achievements and contributions. Additional details about total compensation and benefits details during the hiring process.Doran Jones Inc. (DJI) is the leading financial services Data Engineering and Application Development firm, specializing in Capital Markets, Risk, and Regulatory Compliance. We are US-based, helping our clients fill gaps in capacity and expertise, reduce risk, and accelerate change. Our leaders average over 25 years of experience in Financial Services and Technology. DJI is repeatedly engaged by the largest and most complex clients for our Agile transformation expertise and practical understanding of the critical relationship between data, architecture, and application development. DJI has a mission to place more people from non-traditional backgrounds into sustainable technology careers. Through partnerships with non-profit technology programs in underserved communities and Veteran organizations, candidates transition from tech training programs into real IT careers at DJI. Our unique recruitment policy allows us to create exceptional teams, bringing a broad spectrum of experience to our company and creating anything but a traditional consulting firm. DJI is a wholly-owned subsidiary of McLaren Strategic Ventures, a private equity firm, that invests in start-ups and scale-ups. They provide a full range of highly trusted domain consulting, advisory services, and innovative technologies globally. Doran Jones is able to offer a broad range of technology, deeper AI and machine learning tools, data intelligence, alternative resourcing capabilities, and capital access to invest and digitize at scale. Our clients benefit from this unique portfolio allowing them to accelerate the pace of their own digital transformations through innovative products and services designed around industry-wide issues. Visit Doran Jones to learn more!

Job DescriptionBrooklyn Investment Group is an SEC-registered Investment Adviser that leverages the technology of its parent company, Brooklyn Artificial Intelligence Research. This technology is combined with institutional-grade portfolio optimization and automated tax-loss harvesting to power personalized portfolios for our clients, including financial advisory firms and asset managers. Over the past five years, Brooklyn Artificial Intelligence Research has developed one of the most powerful engines for customizing investment portfolios and more than $5 billion has been traded on its portfolios to date. Our growing team of 20+ quant investors, machine learning researchers, and software engineers comes from top universities and financial institutions such as Goldman Sachs, Citadel and Bridgewater Associates. Opportunity If you’re interested in the growing intersection of finance and technology, this opportunity offers a unique value proposition. At Brooklyn, we are firm believers in the transformative potential of technology to revolutionize portfolio management and trade execution. We are dedicated to architecting one of the most cutting-edge portfolio management platforms in the industry. As a Portfolio Management Engineer, you will play a crucial role as the primary liaison for our clients, operational partners, and custodians. Your core responsibilities will involve developing tech-forward tools to optimize portfolio management, trade execution, and reconciliation processes. You'll collaborate closely with teams across quant, engineering, research, and trading to ensure seamless workflows and innovation.Responsibilities • Ongoing Portfolio Management: Act as a bridge between portfolio management and trading teams, serving as the primary point of contact for operational partners and custodians, lending to smooth coordination and execution of trades., • Platform Enhancements: Take part in the implementation of enhancements to the portfolio management platform, utilizing stakeholder feedback and industry benchmarks to enhance functionality, reliability, and scalability, all while maintaining a top-notch user experience., • Collaborative Coordination: Coordinate closely with portfolio construction teams to ensure alignment between client objectives and investment strategies, facilitating a seamless experience for clients throughout the investment lifecycle., • Client Service: Serve as a primary point of contact for clients regarding portfolio management, trading, and reporting, offering timely updates and addressing any inquiries or concerns to maintain a high level of client satisfaction.Skills & Experience Core, • Professional Experience: Two or more years of professional work experience in equities portfolio management or investment operations., • Education Background: Bachelor's or Master’s degree from a leading institution in a quantitative discipline, such as mathematics, natural sciences, engineering, computer science, or economics., • Proficiency in Python: Demonstrate an advanced level of skill in Python programming. Follow industry best practices in software development, ensuring code is clean, modular, and efficient., • Professional Attributes: Desire to work in a fast-paced environment with meticulous attention to detail, striving to stay at the forefront of innovation in investment management., • Experience interacting with custodian platforms, such as Schwab and Fidelity, familiarity with order management systems, and trade execution, involving algorithmic solutions, are advantageous but not mandatory.Please send your CV, GitHub profile, and a paragraph on why you'd be an excellent addition to the company to hiring@bkln.com. Anticipated range of $125,000-$160,000 for base salary, depending on the amount of compensation desired in equity options, and on the level of experience. Check out our full list of job openings here. Brooklyn Investment Group, LLC, is a wholly owned subsidiary of Brooklyn Artificial Intelligence Research, D/B/A of Skopos Labs, Inc. Brooklyn Investment Group and Brooklyn Artificial Investment Research are equal opportunity employers. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. 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 DescriptionSalary: $45-$60/hour Job Title: Civil Engineer Position Summary Pay Rate - $45-$60/hour Adidev is seeking a motivated and detail-oriented Civil Engineer to plan, design, and oversee a wide range of infrastructure and civil works projects including transportation systems, bridges, buildings, site development, utilities, and water/wastewater facilities. This role blends office-based design and analysis with hands-on field oversight, offering the opportunity to see projects through from concept to completion while ensuring quality, safety, sustainability, and regulatory compliance. You will collaborate with multidisciplinary engineering teams, public agencies, and contractors to deliver reliable infrastructure that serves communities and supports long-term growth. About Adidev Adidev Technologies is an engineering and professional services firm supporting infrastructure, construction, public works, and information technology projects across the United States. We hire and support both Civil Engineering and IT professionals, including Mobile Developers and Machine Learning Engineers, and partner with municipalities, transportation authorities, utilities, and leading private-sector organizations to deliver high-quality, practical solutions. Our teams have supported projects and initiatives for public agencies and industry leaders, including state Departments of Transportation (DOTs), municipal public works agencies, and technology-driven organizations such as Delta, Google, Apple, Spotify, US Bank, and FedEx, as well as major engineering and construction firms. Adidev delivers innovative, data-driven solutions that modernize infrastructure, improve efficiency, and strengthen the communities our clients serve. We focus on practical, field-tested solutions and pride ourselves on collaboration, technical excellence, and delivering projects that make a measurable impact. Key Responsibilities -Review survey reports, maps, plans, and technical data to support infrastructure design -Perform engineering calculations (structural, geotechnical, hydraulic, and transportation) -Prepare drawings, plans, and specifications using CAD/BIM and engineering tools -Develop cost estimates, schedules, and project budgets -Obtain permits and ensure compliance with federal, state, and local regulations -Conduct site visits to monitor construction progress and ensure adherence to design specifications -Coordinate with contractors, inspectors, agencies, and stakeholders -Identify risks, resolve field issues, and recommend engineering improvements -Maintain documentation including reports, design changes, and inspections -Support projects from concept development through construction and closeout -Pursue and/or maintain professional licensure (PE preferred) Qualifications / Skills -Bachelors degree in Civil Engineering or related field (Masters preferred for some roles) -Strong foundation in one or more disciplines: structural, transportation, geotechnical, water resources, or environmental engineering -Proficiency with AutoCAD, Civil 3D, BIM, or similar engineering software -Understanding of codes, standards, permitting processes, and regulatory requirements -Strong analytical and problem-solving abilities -Effective written and verbal communication skills -Comfortable working both in office and field environments -Project coordination, budgeting, and scheduling experience -Interest in sustainable, resilient, and community-focused infrastructure design -EIT or PE licensure (preferred or in progress) Working Conditions -Combination of office and field work -Site visits and outdoor work required -Full-time schedule with occasional extended hours based on project needs -Travel or relocation may be required depending on assignments -Perks and Benefits -Competitive salary based on experience and market value -Paid relocation assistance -Flexible and hybrid work options when project schedules allow -Professional development and continuing education support -Licensing and certification reimbursement -Regular performance and salary reviews -Opportunity to work on meaningful infrastructure projects that directly impact communities Ready to Build the Future? If youre passionate about designing and delivering infrastructure that improves everyday life, wed love to hear from you. Submit your resume along with examples of projects youre proud of. Join Adidev and help shape stronger, smarter communities through engineering excellence.

Job Description We are hiring on behalf of a venture-backed AI startup building intelligent software that automates complex business workflows. The platform uses large language models, proprietary data, and human-in-the-loop systems to complete work that previously required significant manual effort. Its backend systems power AI agents, customer integrations, data processing, evaluation infrastructure, and production workflows. The company is hiring a Backend Engineer to build the reliable systems behind its AI products. About the role As a Backend Engineer, you will design and build the services, APIs, data models, and infrastructure that power the company’s product. You will work primarily in Python and PostgreSQL while collaborating closely with product engineers, AI engineers, customers, and company leadership. This is not a narrow API-development role. You will work on production architecture, data systems, model integrations, security, reliability, and product capabilities. What you’ll do • Design, build, and maintain production backend services using Python, • Develop APIs that support customer-facing applications and AI workflows, • Design scalable relational data models using PostgreSQL, • Build integrations with model providers, customer systems, and third-party platforms, • Develop systems for asynchronous jobs, event processing, and long-running AI workflows, • Deploy and operate services using AWS, • Debug production issues across application, data, model, and infrastructure layers, • Help shape backend architecture and engineering practices as the company grows What we’re looking for, • Approximately 2–9 years of professional software engineering experience, • Strong professional experience with Python, • Experience designing and operating production APIs or backend services, • Strong understanding of relational databases, SQL, and data modeling, • Experience with PostgreSQL or a comparable production database, • Familiarity with AWS, GCP, or another major cloud platform, • Understanding of application security, authentication, and authorization, • Experience debugging and operating systems in production, • Ability to independently own technical projects from design through deployment, • Comfort making pragmatic engineering decisions in an early-stage environment, • Strong communication and cross-functional collaboration skills Nice to have (not required), • Experience building AI, LLM, agent, or machine-learning infrastructure, • Experience integrating OpenAI, Anthropic, or other model providers, • Familiarity with LLM evaluation, retrieval, embeddings, or vector databases, • Experience with Docker, Kubernetes, Terraform, or CI/CD systems, • Experience with Redis, Kafka, queues, or event-driven architectures, • Experience building multi-tenant SaaS products, • Previous experience at an early-stage startup, • Experience with data-intensive or distributed systems

Job DescriptionCareer Renew is recruiting for one of its clients a Staff Backend Engineer - AI - this is an onsite role in NYC. Salary range: 200-250K USD yearly plus benefits plus equity. We build autonomous manufacturing systems powered by AI and robotics to solve America's manufacturing workforce crisis. We're creating the intelligence layer that lets machines run autonomously so manufacturers can scale production without scaling headcount. You'll join a small in-person team in NYC with deep experience from defense tech and AI who've already shipped products to DoD customers. This is your chance to build the future of American manufacturing at the intersection of ML robotics and distributed systems. As Staff ML Backend Engineer you'll own the entire data pipeline for robotics sensor data and build foundational ML infrastructure. You'll make key technical decisions around storage processing and analytics while functioning as a research engineer to keep ML team iteration cycles fast. This Staff Backend Engineer will build the foundational infrastructure for our machine learning pipelines, focusing on creating robust, scalable backend systems for advanced robotics. The role involves owning the data collection and storage pipeline for robotics sensor data, making key technical decisions, and functioning as a research engineer for the ML team to accelerate their iteration cycles. This is a generalist software engineering role focused on the backend, particularly on building production systems for large-scale data and data pipelines, rather than internal tooling. Tech stack Python, Rust, C++, Distributed Systems, Data Pipelines, PyTorch, TensorFlow, Time-series Databases, GPU Requirements: 7+ years of experience in backend engineering building production data pipelines in Python, Rust, or C++ (Mandatory) Built production data pipelines for large-scale sensor/video data. (Mandatory) Experience with distributed systems handling low-latency, high-throughput data flows (Mandatory) Experience in latency-sensitive environments (e.g. trading systems, real-time industrial/robotics systems) (Nice-to-have) BS/MS in Computer Science or a related technical field. (Mandatory) Strong proficiency in Python, Rust, or C++ for backend / systems development (Mandatory) Experience with time-series or streaming data systems (e.g. sensor data pipelines, event streams) (Mandatory) Familiarity with ML infrastructure or supporting ML pipelines in production (not just model training) (Nice-to-have)

Job Description Most of what makes American healthcare expensive isn’t medical care. It’s the machinery wrapped around it: middlemen taking a cut, fraud nobody stops, and billing systems designed to fight over payment instead of deliver care. The result is higher premiums, denied claims, surprise bills, and a system patients increasingly experience as adversarial. Arlo is rebuilding health insurance for small businesses from first principles: making sure as much of every premium dollar as possible goes to care instead of getting absorbed by the system around it. We do that by identifying fraud earlier, steering members toward higher-quality and lower-cost care, automating operational overhead, and eliminating vendors whose business exists mostly to take a cut. AI is the foundation that makes this work. We use it across underwriting, operations, clinical programs, and member experience to build an insurer that becomes more efficient as the technology improves. We’re already operating at meaningful scale: profitable, hundreds of millions in premiums, tens of thousands of members covered, and growing quickly through brokers, employers, and partners. Backed by Upfront Ventures, 8VC, and General Catalyst, with a team from Palantir, YC companies, and longtime healthcare operators. The Opportunity As Head of Data, you own Arlo’s most critical engineering infrastructure: the underwriting system that prices our risk and drives our growth and profitability. The core of the job is iterating on the underlying model and business logic quickly — testing new approaches and reacting to market shifts like GLP-1 drugs or emerging cancer treatments. Our underwriting system sits on top of a multi-billion-row claims database. It allows for efficient training of large scale machine learning models, but it also has to serve inference results with low latency. You’ll own this system end to end: data ingestion, model iteration, backtesting, and serving results via API to our quoting frontend. You’ll work closely with Sean Chin, our Head Actuary, to translate business and modelling priorities into what the data team builds next. You will make architectural decisions and be the technical leader for the data engineering and data science team. Data sits at the core of everything we do — unsurprising for a company founded by an ex-Palantir engineer. We use it to surface care gaps and trigger member outreach, identify fraudulent billing, develop cost-containment strategies, and evaluate doctor quality so our members find the best care. You’ll own the enterprise-wide data layer that feeds all of these operational teams. In the era of AI, a strong data foundation and well-designed ontology are what make agent deployment actually work, and you’ll lead the organization that builds them — leveraging our existing engineers and making additional hires over the next 12 months. About You You’ve designed enterprise wide data architecture and systems that deploy ML models in production. You care about injecting data into operational workflows and powering the core of a company’s business and not being an ancillary function. You understand the importance of a clean data model. You write Python, configure clusters, and stay close to the work rather than delegating the hard calls away. You have worked with health care data before and understand the nuances of medical claims, diagnosis codes, procedure codes, etc, We appreciate strong opinions loosely held and we are looking for someone who can balance good engineering standards with the right business needs. Clear communication skills are important to be able to coordinate with the actuarial team and other business units, understand their requirements and partner closely with the teams who will be the users of your work. Responsibilities Underwriting System Own the data pipelines & system end to end: data ingestion, model training & inference, and serving results via API to our quoting frontend and manage the underlying infrastructure. Work closely with Sean Chin, Head Actuary, to translate business and actuarial priorities into scoped, executable work for the data team. Drive continuous improvement of the underwriting model: monitor for model drift, build evaluation infrastructure, and ensure the system stays accurate as Arlo’s book of business grows. Improve iteration speed across the underwriting pipeline so the team can test, adjust, and deploy faster. Hold the technical bar across the data function: set engineering standards and establish clear practices for how the team collaborates, documents, and ships. Enterprise Data Build and maintain Arlo’s core data ontology — integrate data from across the organization into a clean, well-governed layer that can serve use cases including underwriting, care management, care navigation, claims adjudication, etc. Ingest data from multiple sources and build the monitoring systems that keep data quality high. Technical Leadership & Team Directly manage a team of six; serve as technical lead for the data science team — providing code review, architectural guidance, and the standard they build toward. Why Join Arlo: High ownership: You’ll get real responsibility from day one—our high-trust team empowers you to run with big problems and shape core parts of the company. Join an important mission: Your work directly influences how people access care and improves lives at scale. Growth & expansion: We’re moving fast, and as we grow, your scope will grow with us—new challenges, bigger opportunities, and rapid career velocity. Apply AI to a problem that matters: Instead of optimizing ads or cutting labor costs, you’ll use AI to fundamentally reimagine how people get healthcare. High pace, high collaboration: We operate with velocity, first-principles thinking, and a team that works closely, openly, and with ambition. Exact compensation inclusive of salary and any bonuses is determined based on a number of factors including experience and skill level, location, and qualifications which are assessed during the interview process. Arlo is an equal opportunity employer. We do not discriminate based on age, race, color, creed or religion, national origin, sexual orientation, gender identity or expression, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, status as a victim of domestic violence, or arrest or conviction record, as defined under New York State law. 🔒 Your safety matters to us. If you're selected to move forward in our hiring process, you'll hear directly from a member of our Recruiting team via an @joinarlo.com email address. We will never ask for personal or financial information outside of our formal onboarding process. When in doubt, please reach out to us to verify at: recruiting@joinarlo.com.

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

Job Description About the Role We are seeking an exceptional AI Engineer to join our growing team and take a leading role in building and evolving our internal AI-powered agent platform used across the organization. In this role, you will design, build, and improve AI-powered applications that integrate large language models (LLMs) with internal tools, SQL databases, advertising APIs (Google Ads, Meta), and stateful code execution environments. You will play a critical role in improving reliability, context orchestration, evaluation maturity, and expanding Rai into document and workflow automation use cases. Your work will directly impact 200–500 employees and potentially clients, making AI a core productivity multiplier across the organization. Responsibilities include but are not limited to: • LLM Application Development Design, build, and maintain AI-powered applications leveraging LLM APIs, tool calling, and structured outputs., • Agent & Tool Orchestration Develop and improve agent architectures that integrate tools such as SQL execution, Python code execution, and marketing platform APIs through MCP-style integrations., • Context & Memory Management Design and refine multi-turn context handling, session memory strategies, and prompt structures to improve response reliability and reduce hallucinations., • Reliability & Guardrails Implement safeguards for tool execution, SQL queries, and code execution. Improve retry logic, structured validation, and hallucination mitigation strategies., • Evaluation & Quality Assurance Contribute to building structured evaluation frameworks for LLM-powered systems, including multi-turn testing, regression testing, and task-based success metrics., • Product Expansion Support expansion of Rai into document generation, tables, slide decks, and potential Google Workspace integrations., • Collaboration Work closely with Machine Learning Engineers, Product Managers, and Full-Stack Engineers to ensure AI systems are robust, maintainable, and aligned with business goals., • Continuous Innovation Stay current with advances in LLM systems, agent architectures, and applied AI tooling to continuously improve Rai's capabilities. Requirements • Strong programming skills in Python with experience building production systems., • Experience building applications powered by LLM APIs (OpenAI, Anthropic, Vertex AI, etc.)., • Deep understanding of:, • Context windows and token limits, • Multi-turn conversation behavior, • Tool/function calling, • Structured outputs (JSON schema), • Prompt design and failure modes, • Experience integrating external APIs into production systems., • Proficiency in SQL., • Experience working with cloud platforms (GCP, AWS, or Azure)., • Strong problem-solving skills and ability to debug complex system behavior., • Excellent communication and cross-functional collaboration skills. Strong Plus • Experience designing evaluation frameworks for LLM-powered systems., • Understanding of embeddings, vector search, and RAG architectures., • Experience building agent or multi-agent workflows., • Experience with stateful execution environments or sandboxed code execution., • Experience with document automation (Google Docs, Slides, PDFs)., • Experience building internal developer tools or productivity platforms., • TypeScript. Required knowledge of: • Python, • SQL, • Cloud Platforms (GCP, AWS, Azure), • LLMs / AI APIs, • Git / GitHub Nice to have: • Data Warehouses (BigQuery, Snowflake, Redshift), • Data Transformation (dbt), • Semantic Layers (Cube, Looker, dbt Metrics), • TypeScript Our interview process includes, but is not limited to the following: • Excel and Typing Test We offer a competitive salary and benefits based on ability level, including: • Unlimited vacation policy, • Monthly Phone Stipend, • Comprehensive Medical, Dental, and Vision insurance options, • 401(K) plan with matching, • Dog friendly office, • Hybrid work opportunity, • Professional Development Program, • Bonus Perk - Seamless allowance Total compensation based on education, experience, and skills level ($90,900-$254,100) Level 1 - Possesses essential capabilities $90,900-$123,540 Level 2 - Possesses developing capabilities $123,540-$156,180 Level 3 - Possesses notable capabilities. $156,180-$188,820 Level 4 - Possesses strong capabilities. $188,820-$221,460 Level 5 - Possesses advanced capabilities. $221,460-$254,100 About WITHIN WITHIN is the world's first Performance Branding company, partnering with some of the biggest brands in the world to drive business growth through innovative marketing strategies. Our integrated operating model collapses the traditional marketing silos between creative and media, performance and brand, and across media channels. With a full suite of offerings including media, creative, SEO, Lifecycle, Retail Media, Affiliate and Influencer, we're able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own. Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Ben and Jerry's and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It's a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems. Check out some of our work! We weave AI into everything we do, using the latest tech across all teams to innovate, work smarter, and make better decisions. Whether it's in creative, operations, or anything else, AI helps us level up and do things at a whole new scale. We expect our people to use AI in their daily work, fully embracing it as a critical tool to help us succeed. Join Our Network! Stay connected with us and be the first to know about new opportunities, industry insights, and updates. Follow us on: • LinkedIn, • WhatsApp Community, • Instagram, • Tik Tok Locations • New York City: 43-01 22nd St, Suite 602, Queens, NY 11101, United States, • Bogotá: WeWork Av. Carrera 19 #100-45 Usaquén, Piso (Floor) 10, Bogotá, Distrito Capital de Bogotá 110111, Colombia, • Mexico City: Av. Insurgentes Sur 1082, Piso (Floor) 2, Oficina 2008, Ciudad de México, CDMX 03100, México

Job Description Controls Engineer - Data Centers - NYC or Remote Our client is a Leading Engineering Design and Commissioning Company that has a national footprint and specializes in MEP critical facilities design. They provide design, commissioning, consulting and management expertise in the Critical Facilities Space. They have a mindset to provide reliability, energy efficiency, sustainable design and LEED expertise when providing these consulting services for Enterprise, Colocation and Hyperscale Companies. This career-growth minded opportunity offers exciting projects with leading-edge technology and innovation as well as competitive salaries and benefits. The ideal candidate will have previous experience with the execution of design of Controls and Building automation systems platforms such as EPMS (Electrical and Power Monitoring Systems), BAS Systems (Building Automation Systems), BMS System (Building Monitor Systems), DCIM, SCADA in a data center or industrial environment. This candidate will design customized controls solutions for customers in the data center industry for both new design and upgrades to existing automation systems for power and cooling systems in a live, mission-critical environment. They will collaborate with the Electrical and Mechanical Engineering / Design teams to ensure the reliability, proper operations, acceptance of new and modified installations, automations and software solutions. Applies an intensive and diversified knowledge of experience in machine control / BMS/BAS/EPMS/DCIM/SCADA systems design, implementation, testing and operations. Responsibilities: • Execute automation design of complex scope, and coordinate activities of other personnel as needed, • Meet with business to understand needs of the customer to design a customized solution to meet their needs, • Equipment selection and write supporting reports, • Create standards for ground up design as found in initial discovery process, • Lead design for control panels: layout, control power, relay logic, and wiring diagrams, • Create and review project specifications and sequence of operations of MEP equipment, • Create Bill of materials (BOMs): instrumentation, sensors, actuators, valves and other field devices, • Mentor engineers and assist with training and development on software standards to create a learning and growing environment, • Design and implement Front end SCADA (Supervisory Control and Data Acquisition) Platforms, DDC and PLC - controller based systems for various projects, • Lead the design of BAS controls and EPMS, • Develop and improve design configuration, programming, networking, systems architecture, diagnostic standards including IT / OT requirements and interface to match application needs, • Review / Submit project deliverables per project requirements: AE design drawings, shop drawings, product data, o/m manuals (SOPs and MOPs), etc., • Lead development of UI / UX configuration standards, • Develop proposals and timely completion of Assigned Tasks and Deliverables including project scope, schedule and budget, • Effective time management of project design team including forecasting resources and resource coordination, • Identify potential project scope changes; aid in development of strategies to minimize impact and changes from estimated costs and project deadlines, • QA/QC peer reviews for projects which candidate is not the engineer, • Optimize workflow and deliverables by developing templates, standards, automations, etc., • Communicate regularly with internal and external stakeholders, subcontractors, project managers, AEs and commissioning agents on project progress, • Assist / Develop all project communication and reporting, weekly progress reports, etc., • Work with Customer to ensure safe and secure systems to meet best practices Qualifications: • BA / BS in Mechanical or Electrical Engineering or relevant degree a Huge Plus, • Licensed PE / EIT / Certifications a Plus, • Engineering experience with industry standards with Automation and Controls Experience relevant to the data center industry, • Experience integrating PLC / ALC with complex data center / mission critical facilities, • 4-7+ years with BMS / BCM / BAS Systems / SCADA / DCIM - Building monitoring systems / building control systems / Building Automation Systems, • Previous experience working on Controls Products from companies such as: Johnson Controls / JCI; Siemens; Automated Logic; Honeywell; GE Control Systems; Schneider Electric, • Ability to read and audit one-lines / blueprints / CAD drawings and controls diagrams, • PLC / ALC Programming Experience, • Experience with Controls systems design as it relates to: Critical HVAC equipment (air-cooled / water cooled chillers, cooling distribution units, cooling towers, adiabatic coolers, Air Handlers, CRAC / CRAH units, liquid cooling systems, containment solutions, etc.), • Experience working with common BAS protocols BACnet IP, BACnet MSTP, Modbus RTU, Modbus TCP, etc., • Skilled at reviewing design drawings, equipment submittals, and facility layouts, • Client facing experience and at times serve as primary point of client contact on various projects, • Ability to successfully work independently; Self Starter and should prioritize well, • Effective communicator - both oral and written form (tech and non-tech), • Proactive, resourceful, delegator and a multitasker, • Exceptional organizational skills with an attention to detail, • Skilled in completing assignments accurately and in a timely manner, • MS Office Suite (Excel, Word, Outlook, PowerPoint, Teams), • Superior analytical, planning and problem resolution skills, • Must be able to provide necessary pro-active recommendations to clients, • Knowledge of general computer hardware & software applications, • Minimal travel Submittal Instructions: Please apply directly by clicking the link below, alternatively you can forward your resume directly to: 6zf9ngau5jwu9fou1armpxhoze@crelate.net After applying, if you have further questions, you may call 973-895-5200 and ask for Iggy. You can also submit via our career portal and take a look at other Critical Facility openings we are working on at, https://www.pkaza.com/jobs/ If this job is not for you, feel free to forward this along. WE PAY FOR REFERRALS!! Company offers competitive salaries and benefits package including medical insurance, a 401(k) plan EOE/AA Employer M/F/D/V Pkaza LLC is a third-party employment firm. All fees assessed by Pkaza LLC will be paid by our employer that we represent and not by the candidate

Job Description Most of what makes American healthcare expensive isn’t medical care. It’s the machinery wrapped around it: middlemen taking a cut, fraud nobody stops, and billing systems designed to fight over payment instead of deliver care. The result is higher premiums, denied claims, surprise bills, and a system patients increasingly experience as adversarial. Arlo is rebuilding health insurance for small businesses from first principles: making sure as much of every premium dollar as possible goes to care instead of getting absorbed by the system around it. We do that by identifying fraud earlier, steering members toward higher-quality and lower-cost care, automating operational overhead, and eliminating vendors whose business exists mostly to take a cut. AI is the foundation that makes this work. We use it across underwriting, operations, clinical programs, and member experience to build an insurer that becomes more efficient as the technology improves. We’re already operating at meaningful scale: profitable, hundreds of millions in premiums, tens of thousands of members covered, and growing quickly through brokers, employers, and partners. Backed by Upfront Ventures, 8VC, and General Catalyst, with a team from Palantir, YC companies, and longtime healthcare operators. About the Role Arlo's underwriting is the core of the business, and it runs on machine learning at serious scale. We're hiring a Senior ML Infrastructure Engineer to build and own the infrastructure that powers it — from training models on tens of millions of patients and hundreds of millions of rows of claims data, to serving real-time quotes in seconds against inference-time datasets that run into the trillions of rows. You'll also build the tooling that lets our data scientists and actuaries iterate faster than ever. This is an ML infrastructure role with real room to do ML and data science. You'll own the platform, but you'll also have the opportunity to work alongside our data scientists and actuaries to test and evaluate your own ideas — not just support theirs. What You'll Work On Training infrastructure for underwriting Build and own the infrastructure layer that powers our underwriting model, trained on tens of millions of patients and hundreds of millions of rows of claims data. Make training reliable, reproducible, and scalable as data volume and model complexity grow. Real-time inference for quoting Build and own the API layer that produces quotes in seconds — serving a trained model against a much larger inference-time dataset, on the order of trillions of rows of claims across hundreds of millions of people. Own the latency, reliability, and scalability of the serving path the quoting product depends on. Accelerate data science iteration Make it as easy as possible for data scientists and actuaries to test new features and ideas. Build backtesting and validation infrastructure so model performance can be measured quickly and trustworthily. Remove friction from the path between an idea and a validated, production-ready model — make experimentation simpler than it's ever been. What We're Looking For A strong track record building ML or data infrastructure in production at scale. Deep proficiency in Python, with comfort in processing large datasets (Spark, Databricks, or equivalent). Experience with model training pipelines and/or low-latency model serving in production. Experience building tooling that makes other people faster — feature testing, experiment tracking, backtesting, or similar developer/researcher-facing infrastructure. The ability to own systems end-to-end, set standards, and operate reliable production infrastructure (SLAs, monitoring, on-call). Genuine interest in the modeling itself — you want to occasionally get your hands into the data science, not only the infrastructure. Nice to Have Prior experience in a regulated space like healthcare or insurance. Experience with MLOps tooling (MLflow or similar), feature stores, or experimentation platforms. Experience supporting data science or actuarial teams in production environments. Compensation $180,000 – $230,000 + equity Why Join Arlo: High ownership: You’ll get real responsibility from day one—our high-trust team empowers you to run with big problems and shape core parts of the company. Join an important mission: Your work directly influences how people access care and improves lives at scale. Growth & expansion: We’re moving fast, and as we grow, your scope will grow with us—new challenges, bigger opportunities, and rapid career velocity. Apply AI to a problem that matters: Instead of optimizing ads or cutting labor costs, you’ll use AI to fundamentally reimagine how people get healthcare. High pace, high collaboration: We operate with velocity, first-principles thinking, and a team that works closely, openly, and with ambition. Exact compensation inclusive of salary and any bonuses is determined based on a number of factors including experience and skill level, location, and qualifications which are assessed during the interview process. Arlo is an equal opportunity employer. We do not discriminate based on age, race, color, creed or religion, national origin, sexual orientation, gender identity or expression, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, status as a victim of domestic violence, or arrest or conviction record, as defined under New York State law. 🔒 Your safety matters to us. If you're selected to move forward in our hiring process, you'll hear directly from a member of our Recruiting team via an @joinarlo.com email address. We will never ask for personal or financial information outside of our formal onboarding process. When in doubt, please reach out to us to verify at: recruiting@joinarlo.com.

Job DescriptionROLE OVERVIEW Grailed is looking for a Staff Machine Learning Engineer to help us build the models and systems that connect buyers to the inventory they're looking for — and surface things they didn't know they wanted. Our data sits at the center of a complex peer-to-peer marketplace, and the ML layer is what turns a decade of behavioral signals into better search, smarter recommendations, and a marketplace that gets sharper over time. This is a hands-on technical role for an engineer who takes end-to-end ownership seriously — from architecture through production operation — and who is energized by working on a small, focused team where the infrastructure is still being built and the decisions made now have lasting consequences. The strongest candidates will bring production instincts alongside technical depth: the kind of engineer who isn't done when the model trains, and who treats monitoring, retraining, and reliability as part of the job, not a follow-on task. What You'll Do • Own the full lifecycle of predictive models in production — architecture, training pipelines, inference infrastructure, deployment, and ongoing model health, • Build and operate the systems that route model outputs into live product surfaces: search ranking, recommendations, feed ordering, and related user-facing experiences, • Establish and maintain model monitoring, alerting, drift detection, and retraining cadences — the feedback loops that keep deployed models accurate over time, • Partner closely with Data Science, Data Engineering, Product Management, and backend engineering to move work from validated approach to production system, • Own the decision-making process on whether to leverage ML infrastructure & expertise from our parent company, GOAT Group, and when to advocate for building in-house solutions., • Contribute to ML infrastructure decisions — serving architecture, feature computation, pipeline orchestration — with an eye toward what scales as the team and model count grows, • Set technical standards and raise the bar for how ML systems are built, evaluated, and operated across the podTechnical Requirements, • 7+ years of engineering experience, with substantial depth in production machine learning systems., • Demonstrated end-to-end ownership: training pipelines through deployed inference, not just modeling., • Advanced knowledge of ML, AI and statistical models, as well their application in e-commerce settings., • Strong proficiency in Python; SQL; DBT; airflow or similar., • Solid software engineering fundamentals., • Experience with ranking, retrieval, or recommendation systems., • Demonstrated expertise with ML lifecycle tooling — experiment tracking, model versioning, pipeline orchestration, drift detection — and comfort working with modern data infrastructure (cloud warehouse, search/retrieval systems).What We're Looking For, • Takes ownership of developing repeatable end-to-end processes, not just outcomes, • Evaluates technical approaches against production constraints — latency, reliability, retraining cost — not just offline metrics, • Brings judgment to architecture decisions: knows when to reach for a complex approach and when a simpler one is the right call, • Treats model health as a permanent responsibility, not a launch milestone, • Communicates clearly with non-technical partners — can translate model behavior, tradeoffs, and timelines into terms that product and business stakeholders can act on, • A willing collaborator who keeps people informed and works through ambiguity without going quiet, • Genuine curiosity about the domain — fashion, resale, taste — and the specific ML problems it createsNice To Have, • Experience with semantic enrichment, NLP, or multi-modal ML in a production context, • Genuine curiosity about the domain — fashion, resale, style — and the specific ML problems it creates One last thing — add a quick note at the bottom of your resume (1–3 lines): what drew you to Grailed and this role, and a recent buying or selling experience on any marketplace and what made it stand out or fall flat. There are no wrong answers — we actually read all of these. GOAT Group uses geographic pay tiers based on the employee's home state to align compensation with market differences across the U.S. Hiring Range: Tier 1 (Includes states such as California, New York (including New York City), Washington, Illinois and other higher-cost markets) $187,100 - $233,800 USD Tier 2 - (Includes mid-cost markets across the U.S.) $168,500 - $210,600 USD Tier 3 - (All other U.S. locations) $159,100 - $198,800 USD The hiring range for this position is below, plus benefits (401K, paid time off, dental, medical, vision, disability, life insurance options). To determine starting pay within the hiring range, we carefully consider a variety of factors, including primary work location, role/level, a candidate's skills, experience, market demands, and internal parity. You may reach out to a recruiter for additional information. Hiring Range:$159,040—$233,800 USD GOAT Group represents the leading platforms for authentic sneakers, apparel and accessories. Operating four distinct brands–GOAT, Flight Club, Grailed and alias–GOAT Group has a global community of more than 60 million members across 170 countries. Founded in 2013, Grailed is the leading community-driven marketplace for rare luxury, streetwear and vintage fashion. The marketplace was built for enthusiasts, by enthusiasts, and features products from brands including Supreme, Raf Simons, Gucci, Saint Laurent, Balenciaga, Prada and more. With a highly curated selection of resale pieces including inventory exclusive to the platform, Grailed makes fashion accessible. The company is backed by strategic investor Foot Locker, Inc. as well as some of the leading names in venture capital including Park West Asset Management, T. Rowe Price Associates, Inc., Franklin Templeton, Adage Capital Management, Ulysses Management, D1 Capital Partners, Accel, Andreessen Horowitz, Index Ventures, Matrix Partners, Upfront Ventures, Webb Investment Network and Y Combinator. GOAT Group will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, if applicable. By applying, you authorize GOAT Group to send you text messages regarding your job application, interview and/or onboarding process, and other job opportunities at GOAT Group. If you are a California resident, please review our California Privacy Rights Notice for Job Applicants. If you are an EU or UK resident, please review our EU / UK Candidate & Employee Privacy Notice.

Job Description Software Engineer – AI PlatformNew York City | Private CreditBuild Production AI That Investment Professionals Rely on Every Day Our client is one of the leading private credit investment firms in the United States, managing more than $9 billion in assets and providing bespoke financing solutions to middle-market companies navigating growth, acquisitions, operational transformation, and complex financial situations. The firm has built a production AI platform that is transforming how investment professionals research, analyze, and evaluate investment opportunities. The platform powers AI-generated investment memoranda, due diligence questionnaire (DDQ) automation, and intelligent retrieval across highly complex financial and legal documents. Our client is seeking an exceptional Software Engineer to help expand this platform and build the next generation of AI-enabled investment workflows. • This is not an AI research role., • This is not a machine learning model training role., • This is not a prompt engineering or proof-of-concept position. Instead, this is an opportunity to build production AI systems that become part of the daily workflow of investment professionals making real investment decisions. As one of a small number of engineers supporting this platform, you'll have significant ownership, influence technical direction, and see your work move quickly from concept to production. Working alongside the platform's lead engineer, you'll partner directly with investment professionals, investor relations, and operations teams to design, build, deploy, and continuously improve AI-powered applications that deliver measurable business impact. If you're passionate about solving challenging engineering problems, shipping production software, and leveraging cutting-edge AI technologies to solve real-world business problems, this is an exceptional opportunity. What You'll Build You'll help design, build, and evolve production AI systems, including: • AI-powered investment memorandum generation, • Due diligence questionnaire (DDQ) automation, • Retrieval-Augmented Generation (RAG) across complex legal and financial documents, • AI agents, reusable skills, and workflow automation, • Source attribution and provenance tracking, • AI review workflows that improve the accuracy, transparency, and trustworthiness of AI-generated content Everything you build will be deployed into production and used by investment professionals, not developed as a proof of concept or demo. Representative Projects Examples of the engineering challenges you'll tackle include: • Trace every statement in an AI-generated investment memorandum back to the exact page and source document used to support it., • Improve retrieval across hundreds of pages of credit agreements, financial statements, and legal documentation while preserving complex tables and formatting., • Design review workflows that identify and prevent hallucinated financial information before it reaches investment professionals., • Build reusable AI agents and workflows that automate repetitive research and due diligence processes., • Develop internal AI tools that reduce hours of manual investment analysis into minutes while maintaining transparency, traceability, and accuracy., • Partner directly with business users to transform manual workflows into scalable AI-powered solutions., • Continuously improve platform performance, reliability, and user experience as new AI capabilities emerge. Key Responsibilities • Design, develop, deploy, and support production AI applications that support the investment lifecycle., • Build and enhance AI agents, reusable skills, subagents, and workflow automation., • Develop provenance tracking, citation, and review capabilities that improve confidence in AI-generated output., • Build scalable retrieval pipelines utilizing vector search and modern RAG architectures., • Collaborate closely with investment, investor relations, and operations professionals to understand business workflows and deliver practical AI solutions., • Own projects from architecture and design through implementation, deployment, testing, monitoring, and ongoing production support., • Participate in architectural discussions and help shape the future direction of the firm's AI platform. Qualifications The ideal candidate will possess: • 3–5 years of professional software engineering experience., • Strong programming experience in one or more of the following:, • Python, • TypeScript / JavaScript, • Go, • Rust, • Experience building production AI applications using technologies such as:, • AI Agents, • Retrieval-Augmented Generation (RAG), • Vector Search, • Prompt & Context Engineering, • Evaluation Frameworks (Evals), • Daily experience using AI-assisted development tools such as:, • Claude Code, • Cursor, • Codex, • GitHub Copilot, • or similar AI-native development environments, • Demonstrated success independently designing, building, deploying, and supporting production software., • A builder's mindset with a passion for solving difficult technical problems and delivering high-quality software., • Strong verbal and written communication skills with the ability to work directly with senior business stakeholders., • Excellent analytical, organizational, and problem-solving skills. Preferred Experience Experience in one or more of the following areas is highly desirable: • Document-intensive or highly regulated industries, • Financial Services, • Private Credit, • Banking or Capital Markets, • Asset Management, • Investment Banking, • Vector databases (Qdrant, Pinecone, Weaviate, or similar), • PDF and document parsing, • Anthropic or OpenAI APIs, • Agent SDKs, • Model Context Protocol (MCP), • Programmatic document generation (DOCX/PPTX), • Open-source software development Engineering Culture The engineering organization is intentionally small, collaborative, and highly empowered. Engineers are trusted to: • Own problems from design through production., • Work directly with investment professionals and business stakeholders., • Influence technical architecture and platform direction., • Continuously improve products and engineering practices., • Move quickly while maintaining high engineering standards. The culture values: • Shipping reliable production software, • Strong software engineering fundamentals, • Thoughtful code reviews, • Practical AI solutions over hype, • Ownership, accountability, and initiative, • Curiosity, experimentation, and continuous learning Why This Opportunity Stands Out This role offers the opportunity to: • Help shape how AI is transforming investment decision-making at one of the industry's leading private credit investment firms., • Build AI systems that directly support real investment decisions., • Solve technically challenging problems involving large-scale financial and legal documents., • Influence the architecture and evolution of a rapidly expanding AI platform., • Collaborate directly with experienced investment professionals to solve meaningful business problems., • Join a small engineering team where individual contributions have immediate visibility and impact., • Work with cutting-edge AI technologies while building production systems—not prototypes., • Develop solutions that fundamentally change how investment professionals research, analyze, and evaluate investment opportunities. Compensation Base Salary: $150,000 – $200,000 In addition to a highly competitive base salary, our client offers a comprehensive total compensation package that includes: • Performance-based discretionary bonus, • Comprehensive medical, dental, and vision benefits, • Retirement savings plan, • Paid time off, • Additional employee wellness and benefit programs Compensation will be commensurate with experience, technical expertise, and overall qualifications. Location: New York City Applicants must be legally authorized to work in the United States on a full-time basis. Sponsorship or transfer of employment visas are not available for this position. Interested? If you're excited or know someone who would be an outstanding fit - building production AI systems that solve complex, real-world problems- and want to work at the intersection of software engineering, artificial intelligence, and private credit- we'd welcome the opportunity to have a confidential conversation. Please contact Jerry Goldberg | jgoldberg@jharlan.com | (212) 792-0099

Job DescriptionFounding Engineer Location: New York, NY On-site | Full-time Compensation: $150K - $350K Our client is a high-growth, venture-backed startup on a mission to reinvent technical interviewing and transform the global $600B+ staffing industry. By moving beyond traditional "LeetCode" style evaluations, our client has developed a fundamentally better way for companies to identify talent, combat fraud, and market top-tier candidates to Fortune 500 organizations. The organization is currently at an ideal inflection point: they have moved past product-market fit and are entering a rapid scaling phase. Backed by a $3.1M seed round from premier investors—including GSV Ventures, BoxGroup, and angels from OpenAI, SpaceX, and Retool—the company has already surpassed seven figures in revenue. Their customer base includes dozens of enterprise staffing firms, including the largest staffing firm in the world. Our client is seeking a Founding Engineer to join a talent-dense team of seven hailing from institutions and companies such as Stanford, Penn, Waterloo, Retool, and MongoDB. This is a high-impact role for a builder who wants to own critical systems and define the technical standards for an entire industry. Key Responsibilities • Innovation in Evaluation: Define and build the new standard for technical interviewing, creating systems that retire outdated evaluation methods and provide high-fidelity talent assessments., • AI Implementation: Utilize AI and machine learning to detect fraud, identify complex patterns in candidate performance, and significantly accelerate the hiring lifecycle., • System Architecture: Design, develop, and maintain critical full-stack systems from the ground up, ensuring high performance and scalability., • End-to-End Ownership: Manage features and systems through the entire lifecycle—from initial concept and architectural design to deployment and monitoring., • Strategic Input: As one of the first engineering hires, play a key role in shaping the technical roadmap and making fundamental architecture decisions. Requirements • Technical Proficiency: 4+ years of experience in modern full-stack development. Advanced proficiency in React, Node.js, and Python (or similar frameworks) is expected., • Infrastructure Knowledge: Experience managing cloud-native infrastructure within AWS, GCP, or Azure., • Startup Mindset: Demonstrated ability to thrive in a fast-moving, high-performance startup environment where ambiguity is common., • Coding Fundamentals: Highly technical with a strong bias toward code quality, security, and performance., • Founding Mentality: A desire to solve problems end-to-end and a willingness to take radical ownership over outcomes rather than just tickets., • Location: Ability to work on-site five days a week in the New York City office to foster high-bandwidth collaboration., • Sponsorship and relocation: Our client is open to candidates who will relocate and will consider visa sponsorship. Benefits • Build the Future: Join at the ground floor and play a pivotal role in shaping both the product and the company culture while solving complex, industry-wide problems., • Competitive Pay & Equity: Competitive compensation packages including significant equity ownership to ensure early hires benefit from the company's growth., • Comprehensive Health Insurance: Health insurance coverage provided for both the employee and their dependents., • Financial Wellness: A 401(k) plan is provided to help the team invest in their long-term financial future., • Onsite Benefits: Work from a Midtown Manhattan office with daily team lunches, dinners, and a fully stocked selection of snacks and beverages., • Quarterly Offsites: Opportunities to travel together every quarter to bond, brainstorm, and recharge as a team., • Early Impact: Join at a critical inflection point—past product-market fit, but before scaling takes over. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

Job Description Who We Are Kargo creates powerful moments of connection between brands and consumers to build businesses. Every day, our 600+ employees work to radically raise the bar on what agentic AI, CTV, eCommerce, social, and mobile can do to deliver unique ad experiences across the world's most premium platforms. Taking a creative science approach to all we do, we continuously innovate solutions that outperform industry benchmarks and client expectations. Now 20+ years strong, Kargo has offices in NYC, Chicago, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland. Who We Hire Techies who want to build the future. Creatives who want to design it better. Communicators to win business. Collaborators to build it. Data pros who turn numbers into insights. Product builders who turn ideas into innovations. Anyone eager to be on a team that doesn't stop to ask what's next, because they're already building it. Mission Own the evolution of Finetouch, Kargo's creative scoring system, by leading the design and production deployment of multimodal ML models that quantify creative quality and predict ad performance. This role is the technical anchor for the Creative Sciences Platform — translating research in LLMs, VLMs, and multimodal learning into scalable, reliable systems that creative and product teams build on. Success means Finetouch becomes faster, smarter, and more trusted as the intelligence layer behind Kargo's creative analytics. Outcomes - What Success Looks like in 6-12 months • Ship the next generation of Finetouch. Deliver a measurably improved version of the creative scoring model — better predictive accuracy on creative performance, expanded multimodal signal coverage (visual + text + engagement), and validated lift over the current baseline., • Stand up production-grade MLOps for Creative Sciences. Establish end-to-end pipelines (training, fine-tuning, deployment, monitoring) on MLflow/Kubeflow/Ray Train so model iterations move from notebook to production in days, not weeks, with full reproducibility., • Scale distributed training and inference. Reduce training time and inference cost on multimodal/VLM workloads through Ray, PyTorch Distributed, and right-sized cloud infrastructure — enabling larger models and faster experimentation cycles., • Expose Finetouch as a platform. Build and operate the APIs, embedding services, and model endpoints that let Glossi and other Kargo creative platforms consume scoring in real time, with documented SLAs and integration patterns., • Operationalize model reliability. Deploy real-time monitoring, drift detection, and alerting so production model degradation is caught before it affects creative decisions, with clear runbooks and on-call ownership. Skills - Core Technical Capabilities Required: • 5+ years in ML engineering or MLOps, with shipped production systems involving LLMs, VLMs, or multimodal architectures, • Expert in Python and PyTorch (or TensorFlow), plus distributed training frameworks (Ray, PyTorch Lightning, Horovod), • Hands-on with MLOps tooling: MLflow, Weights & Biases, Kubeflow, Argo, or Airflow for orchestration, experiment tracking, and automated retraining, • Cloud-native ML deployment on AWS (SageMaker), GCP (Vertex AI), or Azure ML, with infrastructure-as-code (Terraform, Helm), • Production fluency with Docker, Kubernetes, and CI/CD patterns for ML, • Strong SQL, data pipeline, and feature store design for scalable experimentation Preferred: • Experience with vector databases, embedding pipelines, and real-time retrieval systems, • Background in creative scoring, aesthetic modeling, or ad performance prediction Competencies - Behaviors We Like to See Research-to-Production Judgment • Knows when a model is good enough to ship vs. when it needs another iteration — doesn't over-engineer or under-validate, • Translates papers and prototypes into systems that survive production traffic, monitoring, and on-call Systems Thinking at Scale • Designs for the second and third version of the model, not just the first — pipelines, abstractions, and infra that compound over time, • Optimizes the full stack: training cost, inference latency, and developer iteration speed, not just model accuracy Cross-Functional Translation • Explains multimodal modeling tradeoffs to Product and Creative stakeholders in terms of business impact, not architecture diagrams, • Partners with Data Science and Platform Engineering as co-owners, not handoff points Operational Ownership • Treats drift, latency regressions, and silent failures as personal — instruments systems so problems are caught early and root-caused fast, • Documents architecture, decisions, and runbooks so the platform outlives any single contributor In accordance with applicable federal, state, and local pay transparency laws, the anticipated base salary range for this position is listed below. Actual compensation may vary based on factors such as geographic location, work experience, education, and skills. U.S Salary Range $150,000—$175,000 USD Our Laurels • AdAge Best Places to Work, • ThinkLA Partner of the Year, • Built In Best Places to Work, • Cynopsis 2025 Top Women in Media - Jeannine Shao Collins, • Martech Breakthrough Awards - Best Overall Adtech Company, • Digiday Media Awards Best Event, • Cynopsis Media Impact Awards-Best CTV Platform, • Martech Breakthrough Awards-CTV Innovation, • Adweek Media Plan of the Year Awards - Best Use of Insights Follow Our Lead • Big Picture: kargo.com, • The Latest: Instagram (@kargomobile) and LinkedIn (Kargo) Kargo is an Equal Opportunity Employer. We are committed to building an inclusive and diverse workplace where all employees and applicants are treated with respect and dignity. We do not discriminate on the basis of race, color, ethnic origin, religion or belief, sex, sexual orientation, gender identity or expression, age, disability, marital or family status, national origin, veteran status, or any other characteristic protected by applicable local, state, or federal law. All qualified applicants will receive consideration for employment. Pursuant to applicable fair chance laws, including the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Kargo will consider qualified applicants with arrest and conviction records for employment.

Job DescriptionCompany Description SOCOTEC is a provider of niche consulting services within the architecture, engineering and construction industries focusing on high-performance buildings and specialty structures. Through an integrated, holistic approach, our professionals provide solutions for building envelope, energy efficiency, sustainability, code advisory and construction advisory projects SOCOTEC’s combination of expertise, experience and methods are increasingly recognized as best-in-class fueling significant growth. SOCOTEC is proud to announce that it has been officially certified as a Great Place to Work by the renowned global authority on workplace culture, Great Place to Work®. Job Description As a Senior Data Engineer, you will design and build scalable data systems that power SOCOTEC’s digital platforms and enterprise analytics. You will play a key role in architecting our modern data stack, enabling reliable ingestion, transformation, and modeling of data across multiple enterprise systems. This role requires strong experience in Databricks, distributed data processing, and enterprise data architecture, along with the ability to lead large data initiatives and collaborate with engineering and business teams. You will work closely with software engineers and platform teams to ensure SOCOTEC’s data ecosystem is reliable, scalable, and optimized for both operational systems and advanced analytics. Key Responsibilities Build SOCOTEC’s Enterprise Data Platform • Design and implement scalable data pipelines that ingest and transform data from enterprise systems such as ERP, CRM, and operational databases., • Develop and maintain data pipelines in Databricks using Spark and Delta Lake., • Build and maintain data models that support analytics, AI applications, and operational systems. Lead Master Data Management (MDM) Initiatives • Architect and implement SOCOTEC’s custom MDM platform using Databricks., • Design data models that establish consistent “golden records” across multiple enterprise systems., • Implement data governance, lineage, and quality frameworks. Design Enterprise-Scale Data Pipelines • Build reliable ingestion pipelines for large-scale structured and semi-structured data., • Implement batch and near-real-time data processing pipelines., • Optimize large-scale data processing jobs for performance and cost efficiency. Enable Data for AI and Advanced Analytics • Partner with AI and software engineering teams to deliver high-quality datasets for machine learning and AI applications., • Build data pipelines that support SOCOTEC’s digital products, analytics dashboards, and operational platforms. Drive Data Architecture and Best Practices • Define standards for data modeling, pipeline design, and data quality., • Implement monitoring, observability, and alerting data systems., • Ensure scalability, reliability, and security across the data platform.Qualifications, • 3-6 years with hands on experience with Databricks, • Experience designing and owning large enterprise data projects, • Strong hands-on experience with Databricks, Apache Spark, and Delta Lake, • Experience building enterprise-scale ETL/ELT pipelines, • Experience working in enterprise environments with complex data systems, • Strong SQL and Python skills Preferred Experience • Experience building Master Data Management (MDM) systems, • Experience with modern cloud data stacks (AWS, Azure, or GCP), • Experience integrating data from ERP systems such as Deltek, SAP, or Oracle, • Experience with data governance, data lineage, and metadata management, • Familiarity with lakehouse architectures and modern data platforms Technical Skills • Databricks, • Apache Spark, • Delta Lake, • Python, • SQL, • Data modeling, • ETL / ELT pipeline development, • Cloud data platforms (AWS / Azure), • Data architecture and distributed systems We are looking for someone who: • Has owned and delivered large-scale data platforms, • Is comfortable working in complex enterprise environments, • Can design systems that scale across multiple business units and data sources, • Is passionate about building reliable data infrastructure that enables analytics and AI This role requires both deep technical expertise and architectural thinking, as you will play a key role in shaping SOCOTEC’s long-term data strategy. Why Join SOCOTEC Digital Assurance You will be joining a growing technology group building advanced platforms for the built environment, including: • AI-powered compliance systems, • Intelligent inspection workflows, • Enterprise analytics platforms, • Large-scale data infrastructure supporting engineering services Our goal is to transform how data and expertise flow across the built environment, enabling smarter decisions, faster compliance, and more efficient infrastructure. If you are passionate about building modern data platforms and solving complex data challenges at scale, we’d love to hear from you. Additional Information Additional information For more information, please visit www.socotec.us Job Type: Full-Time Applicants must be legally authorized to work in the United States without the need for current or future employer sponsorship. All your information will be kept confidential according to EEO guidelines. SOCOTEC is an Equal Opportunity Employer.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.What You'll Do: The Network Observability team is responsible for how CoreWeave observes, understands, and operates its network at scale. As a Staff Engineer for Network Observability, you will define and evolve the technical direction for network observability, partnering across Network Engineering, SRE, Platform, and adjacent infrastructure teams to build resilient telemetry systems, raise engineering standards, and turn observability into a strategic advantage for the business. Your mission: build and scale a network observability platform that provides CoreWeave fast, trustworthy insight into network behavior, enables proactive risk detection, improves how engineering teams make decisions during both normal operations and incidents, and enables closed-loop automation workflows. In this role, you will: • Set technical direction for network observability across multiple teams, ensuring the platform, data models, and telemetry strategy align with long-term engineering and business goals, • Lead the design and evolution of scalable observability solutions using diverse collector technologies (e.g., gNMI, SNMP, Prometheus scraping, OTEL, logs, flows, etc.), persistence databases (e.g., Prometheus-like, Loki, Clickhouse), and visualization and alerting ones (e.g., Grafana, Alertmanager), with a strong focus on reliability, usability, and future scale, • Drive cross-team initiatives to standardize observability patterns, improve signal quality, and create a consistent approach to logs, metrics, events, flows, and related diagnostics across the network stack, • Partner closely with engineering leadership and technical stakeholders to prioritize investments, navigate ambiguity, and make high-leverage technical tradeoffs that improve resilience, scalability, and operator efficiency, • Act as a go-to technical expert for critical observability challenges, especially when incidents, architectural complexity, or unclear ownership require strong judgment and coordination, • Mentor junior and senior engineers through technical reviews, design guidance, and hands-on problem solving, raising the bar for engineering quality and multiplying the impact of the broader team, • Participate in design discussions, RFCs, and architectural decisions across the broader infrastructure organization, helping teams converge on scalable, maintainable solutions, • Join a rotating on-call schedule as a senior escalation point for observability-related issues, helping teams quickly isolate failures, improve incident response, and drive durable follow-through after outagesWho You Are:, • Deep expertise in building flexible network observability solutions, with diverse implementation options for collectors, distribution, processing, persistence, alerting, analytics, and visualization, • Experience as a Network Engineer, SRE, Software Engineer, or Systems Engineer in large-scale environments, with a strong track record of building and operating observability or infrastructure platforms that support multiple teams, • Demonstrated ability to lead through ambiguity, shape technical direction, and make sound architectural and operational tradeoffs that balance immediate needs with long-term maintainability, • Strong systems thinking and practical experience designing resilient, scalable solutions that improve visibility, incident response, and engineering efficiency, • Proven ability to work across teams and functions, influence without formal authority, and build trust with both technical and non-technical stakeholders, • Proficient with Python, Go, and Bash, plus familiarity with configuration management and templating tools such as Ansible and Jinja2, • Comfortable containerizing and operating solutions in Kubernetes, including designing, building, and deploying container-based workloads efficiently, • Strong knowledge of Linux systems and IP networking concepts, with hands-on experience in routing, switching, and network troubleshooting, • Practical experience with networking platforms such as SONiC, HPE Junos, NVIDIA Cumulus Linux, Nokia SR OS, and SR Linux, • A strong mentorship mindset and a history of helping other engineers grow through coaching, design feedback, documentation, and technical leadershipPreferred:, • Bachelor's degree in Computer Science or a related field, • Hands-on experience applying machine learning techniques or tools to proactively detect performance or security anomalies in network traffic, • Experience with OpenTelemetry, Jaeger, Zipkin, or similar tooling for end-to-end tracing across distributed systems and infrastructure components, • Experience shaping technical roadmaps, setting standards, or leading platform investments that materially improved reliability or scalability across multiple teams, • Network certifications such as CCNA, CCNP, or similar Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $207,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Mirage is an AI-native video platform that intelligently orchestrates production and editing through natural language. Our models leverage contextual awareness to execute the same creative decisions a professional editor would — dramatically improving productivity for experienced teams, while making video creation accessible to anyone. We’re an interdisciplinary team addressing some of the most difficult technical and creative challenges in generative media. As an early member of our team, you’ll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression. More about us Product (Captions by Mirage) Research (Seeing Voices, technical-white-paper) Updates (Mirage on X / twitter) TechCrunch, Forbes AI 50, Fast Company (press) Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, General Catalyst, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) About the role This role focuses on designing and building agentic systems that power creative workflows for short-form video. You'll help shape how AI agents reduce friction, accelerate learning, and unlock new creative possibilities for our users — building agents that can take creative actions on a user's behalf — while experimenting with emerging models and techniques to bring these experiences to life in production. Software Engineers on the agents team work across product, machine-learning, and systems engineering — owning meaningful problems end-to-end and helping define how our agents are built and deployed across the product. Responsibilities Build and ship end-to-end agentic systems that meaningfully improve creative workflows, balancing quality, performance, and reliability Design agent architectures — how agents gather context, plan, select tools, and execute creative tasks reliably at scale Integrate state-of-the-art models, combining internal research and external capabilities to power new agent experiences Measure and improve agent quality in production, using experimentation, evaluation frameworks, and real-world feedback to guide iteration What Makes You a Great Fit 5+ years of professional industry experience A track record of designing and developing ML systems or agentic pipelines in production Deep experience with context engineering: RAG systems, token optimization, context management at scale Experience building evaluation systems and agentic infrastructure (context gathering, tool selection, multi-step planning) Exceptional problem solving fundamentals and ability to learn quickly in a rapidly evolving space Able to operate effectively in an extremely fast-paced environment and scope and deliver projects end-to-end Even better if... You have worked with multi-agent architectures You have experience fine-tuning LLMs for specific use cases You have a pulse on where generative media and agentic AI technology is going You are grounded, collaborative, and willing to do whatever it takes to help the team win You have been a startup founder or an early engineer at one Benefits: Comprehensive medical, dental, and vision plans 401K with employer match Commuter Benefits Catered lunch multiple days per week Dinner stipend every night if you're working late and want a bite! Grubhub subscription Health & Wellness Perks Multiple team offsites per year with team events every month Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only. Compensation Range: $175K - $275K

Job DescriptionImmediate Start - Quant Researcher – Systematic Commodities Hedge Fund Moreton Capital Partners is rapidly expanding and seeking a talented Quantitative Researcher to join us in our Mexico City office to sit alongside a world class, international team. This is a high-impact role from day one. You'll take full ownership of designing, testing, and refining the next generation of alpha signals in commodity futures, with your models feeding directly into live trading portfolios. Our research is grounded in advanced machine learning, robust testing frameworks, and deep expertise across global commodity markets. We're looking for someone ready to hit the ground running and available to start immediately. In return, we offer a competitive salary, substantial performance share, comprehensive benefits, incredible work environment and a relocation package to make the move seamless. Key Responsibilities • Research, prototype, and validate systematic trading signals across commodities using advanced ML methods., • Design and implement rigorous backtests with realistic frictions, walk-forward validation, and robust statistical tests., • Engineer and evaluate novel features from prices, fundamentals, positioning, options data, and alternative datasets (e.g., satellite, weather and global commodity cash pricing)., • Blend multiple alpha forecasts into meta-models and portfolio signals, leveraging ensemble and Bayesian methods., • Develop portfolio construction and optimization techniques and analysis tools to be able to enhance performance and track effects on portfolio execution., • Collaborate with developers to transition research into production-ready strategies., • Monitor live performance, attribution, and model drift, ensuring continual improvement of the alpha library. Requirements • Masters or PhD in either Statistics, Economics, Computer Science., • Strong background in machine learning and statistical modelling (tree-based models, regularization, time-series ML)., • Proficiency in Python (pandas, NumPy, scikit-learn, XGboost, PyTorch/TensorFlow)., • Understanding of time-series forecasting, cross-validation techniques, and avoiding look-ahead bias., • Academic experience in research and proven ability to translate academic work to production code., • Prior exposure to systematic trading or financial modelling., • Ability to design experiments, interpret results, and iterate quickly in a research environment. Bonus points for: • Knowledge of commodities (agriculture, energy, metals) or macro markets., • Experience with feature engineering on non-traditional datasets (options positioning, weather, satellite)., • Experience collaborating in version control environments., • Familiarity with portfolio optimization, risk parity, or Bayesian model averaging., • Publications, Kaggle competitions, or research track record demonstrating applied ML excellence. Benefits • Direct impact: Your alphas will go live into production portfolios, with real capital behind them., • Research-first culture: We value deep thinking, novel approaches, and systematic rigor., • Close collaboration across a global team., • Career growth: Clear trajectory to senior researcher roles as we scale AUM and expand product lines., • Attractive compensation: Highly competitive base salary and annual bonus that scales as the business grows., • Relocation package to our Mexico City office, along with a competitive benefits offering that includes health and life insurance, a year-end bonus, and generous paid time off., • Positive, inclusive and encouraging work environment.

Job Description Who We Are: Click Therapeutics, Inc., develops, validates, and commercializes software as prescription medical treatments for people with unmet medical needs. As a leading innovator of Digital Therapeutics™, Click delivers accessible, clinically proven, FDA-regulated prescription treatments to the smartphone in your hand. Click's treatments are defined by a commitment to applying technical and scientific rigor and patient-centric design to the development process. This results in uniquely engaging experiences that achieve compelling clinical outcomes for patients seeking new treatment options. Click Therapeutics continuously expands and refines its platform with novel cognitive, behavioral and neuromodulatory mechanisms of action and advanced data-driven tools such as artificial intelligence and machine learning. The digital therapeutics under development on Click's platform address diverse areas of therapeutic need, including indications in psychiatry, neurology, oncology, immunology, and cardiometabolic diseases. Consistently named a best place to work, Click fosters an inclusive, diverse workforce of innovators, clinicians, scientists, researchers, designers, technologists, engineers and more, united in a common mission to provide patients everywhere access to safe and effective prescription digital therapeutics. For more information, visit www.clicktherapeutics.com and connect with us on LinkedIn. About the Role: We are seeking a highly skilled Full Stack Engineer who thrives in a fast-paced environment and is passionate about leveraging cutting-edge technology to drive development efficiency. In this role, you will be responsible for building innovative mobile applications within a Digital Therapeutics (DTx) environment, utilizing a modern technical stack centered on React Native and Node.js. You possess extensive experience architecting and building robust solutions across the entire stack, with deep expertise in modern frontend frameworks and scalable backend services hosted on AWS. Beyond traditional coding, you are a pioneer in AI-augmented engineering; you actively design and manage multi-agent workflows that accelerate the software development lifecycle. You understand the nuances of orchestrating complex agentic pipelines and have the architectural intuition to determine when to rely on autonomous agents and when to apply human expertise. You also bring a strong background in collaboration and mentorship, helping to elevate the team around you. Furthermore, you will play a key role in evolving our engineering practices, not only utilizing but actively adding to and expanding our AI-driven workflows to continuously improve development velocity. This position can either be based out of Click's headquarters located in Tribeca, NYC, or at our Industrious workspace in Boston, MA. We have a hybrid working model that consists of at least 4 days in office each week. Responsibilities: • Build and ship high-quality mobile applications within our Digital Therapeutics (DTx) environment, maintaining tight feedback loops and high development velocity., • Own end-to-end architecture and technical direction for our React Native and Node.js-based systems, from initial planning and estimation through to production and iterative improvement., • Design, implement, and expand our multi-agent AI engineering workflows, setting the organizational standard for how AI-augmented development is used to accelerate the software lifecycle., • Mentor and collaborate with engineers across the team to elevate technical proficiency, promote engineering excellence, and foster a culture of shared growth., • Partner directly with Product and Engineering leadership to define technical roadmaps, translating ambiguous product requirements into clear, actionable technical plans., • Triage and resolve complex, cross-cutting production issues that span mobile app, backend, and infrastructure boundaries., • Contribute to CI/CD practices and build/release infrastructure to ensure reliable and rapid delivery of our mobile and backend services. Qualifications: At Click, we aren't just looking for talent; we are looking for the next evolution of the modern professional. To us, AI is not a future possibility, it is a present-day prerequisite. We expect every Click colleague to have seamlessly integrated AI into their professional workflow and personal productivity, using it as a force multiplier to move faster, think deeper, and deliver superlative results that were previously out of reach. If you do not yet view AI as an essential partner in your daily pursuit of excellence, you will find it impossible to keep pace with our mission. High performers who harness AI technology to transcend traditional boundaries and set new benchmarks for professional excellence will thrive at Click. • 10+ years of professional full-stack software development experience, with a track record of shipping production-grade applications at scale., • Deep expertise in the React Native and TypeScript ecosystem, paired with robust backend development experience using Node.js., • Proven experience designing and managing cloud-native systems on AWS, including Kubernetes, CI/CD, and modern observability tools (e.g., Datadog)., • Hands-on experience architecting multi-agent AI workflows. You go beyond basic code completion, demonstrating success in orchestrating agentic pipelines and defining clear boundaries for autonomous vs. human-in-the-loop development., • Strong architectural instincts: you have made high-impact technical decisions, can articulate the tradeoffs involved, and are comfortable driving long-term technical strategy., • Demonstrated ability to elevate engineering teams through mentorship, pairing, and fostering a culture of technical excellence., • Excellent communication skills; you can translate deep technical context into actionable insights for cross-functional partners and non-technical stakeholders., • Demonstrated ability to operate independently in ambiguous environments identifying, planning, and resolving complex problems from inception to production. Compensation: The base salary range for this position is between: $172,200 - $224,300. The final base salary will be dependent upon skills, experience and location. In addition to the base salary, Click Therapeutics offers an annual performance-based cash bonus and a generous equity package. Benefits: The role includes great benefits and is an excellent wealth-building opportunity at a fast-growing pre-IPO company in a nascent and extremely exciting space. Competitive Salary with Annual Review | Cash Bonus | Stock Options | 5% 401(k) matching | Medical | Dental | Vision | Life Insurance | Voluntary Benefits | Unlimited PTO | Uber One | Nectar Rewards | One Medical | Fertility Support | Fitness Reimbursement | Bike Membership | Professional Development Stipend | DoorDash and Catered Lunches | Parent Benefits | LinkedIn Learning | Gemini Enterprise Stack | Industrious Workspaces | Commuter Subsidies | Flexible Work Arrangement | Choice of Mac or Windows | Sponsored Company Events | Office Snacks and Beverages | Much More… Equal Employment Opportunity: Click Therapeutics is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Click Therapeutics also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must have authorization to work for Click Therapeutics in the U.S. In certain circumstances it may be advantageous to Click Therapeutics to support the application(s) for temporary visa classification and/or sponsor applications for permanent residence so that a foreign national colleague can accept or remain in a work assignment in the U. S. For certain classes of temporary visas, the resulting work authorization may be specific to Click Therapeutics and the specific job and/or work site. Click Therapeutics may at its business discretion decide to or refrain from obtaining, maintaining and/or extending the temporary visa status and/or sponsoring a colleague for permanent residency and /or employment eligibility, considering factors such as availability of qualified U.S. workers and the colleague's long-term prospects for securing lawful permanent residence, among other reasons. Employment applicants requiring immigration sponsorship must disclose, when initial application for employment is made, whether or not they are legally authorized to work for Click Therapeutics in the U.S. and, if so, whether that authorization permits them to work in the job they seek. In no case should Click Therapeutics support of a colleague's temporary visa application or sponsorship of a colleague for permanent residence be construed to guarantee success of that application or amend or otherwise invalidate the "at-will" employment relationship between the colleague and Click Therapeutics. Recruitment Phishing Scams: Fake job advertisements and offers are increasingly appearing on the internet. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond and report it to the Federal Trade Commission and the FBI at https://www.ic3.gov/Home/ComplaintChoice. Please be mindful of the following: • Click Therapeutics will only reach out to you through an "@clicktherapeutics.com" email address.Other than your email address or telephone number, which you may provide via a job application portal, Click Therapeutics will never ask you to provide personally identifiable information about yourself (such as a Social Security Number or Driver's License Number) via a messaging application (like that used on the LinkedIn platform or Microsoft Teams)., • Click Therapeutics will conduct interviews face-to-face over Zoom., • All job postings will be listed on the Click Therapeutics official career page.

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role As a Senior Engineer for our Data Platform team, you will be responsible for maintaining and continuously improving our data platform. We are dedicated to designing, implementing and maintaining Hinge’s data infrastructure, while playing a critical role in selecting and implementing technology that will help Hinge to make data-driven decisions, build a best-in-class product, reporting & analytics, and enable ML/AI use cases. You will work cross-functionally with multiple engineering teams, providing leadership and advice while serving as a crucial partner to various teams and stakeholders, including Business Intelligence, Product Data Engineering, Data Science, MLE & AI, and more. You will be making a real impact on the data platform team and will be key to the success of Hinge. Your work will enable the organization to make data-driven decisions and drive improvements, which will affect the love lives of tons of people. Responsibilities: Design, develop, and maintain core services within Hinge’s data platform. Build and maintain our lakehouse that provides clean, accurate, and robust data sets to be leveraged for reporting, analytics, and machine learning initiatives. Responsible for maintaining and enhancing data pipelines and database management frameworks, which include tasks such as automation, monitoring, alerting, governance, and cost optimization. Work on observability systems that enables holistic system and data quality monitoring Solicit and incorporate internal user feedback to ensure productivity tooling meets the needs of our developers. Work with our data teams to ensure data is flowing accurately through data creation to our presentation layers. Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our pipelines. • Participate in our on-call rotation to ensure system reliability, promptly addressing issues to ensure smooth operations.What We're Looking For: 4+ years of professional/industry experience. Experience in building, automating, and enhancing tools and frameworks for the data platform to streamline pipeline development. Experience modeling data sets for different types of sources and business processes. Strong communication skills (written/verbal). Exposure to ML Ops or other data engineering workloads. Effective analytical, troubleshooting, and problem-solving skills. A degree in computer science, engineering, or a related field. Experience with the following technologies: Programming: Python, Go, Scala, Java Cloud platform: The ability to utilize cloud environments such as GCP, AWS, or Azure. DevOps tooling: Kubernetes, Docker, Terraform, CircleCi, GitHub Actions Streaming: Kafka, PubSub, Dataflow Databases and Big Data Tooling: Redshift, BigQuery, Databricks, dbt BI platform: Looker Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.As a member of our team, you’ll enjoy: 401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year. Professional Growth: Get an annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day. Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.) Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide a stipend towards fertility preservation. You and your spouse/domestic partner are both eligible. Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones. ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Raices, Women/Nonbinary, Parents —that hold regular meetings, host events, and provide dedicated support to the organization & its community. At Hinge, our core values are… Authenticity: We share, never hide, our words, actions and intentions. Courage: We embrace lofty goals and tough challenges. Empathy: We deeply consider the perspective of others. Diversity inspires innovation Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. #Hinge .

Job Description Company Description Palmetto is a leading clean tech company on a mission to accelerate the transition to a clean energy future. With a belief that consumers can have it all, we are an uncompromising energy company that makes coming clean a no brainer. Our award-winning technology platform empowers homeowners, businesses, and entrepreneurs to adopt renewable energy through simple, scalable, and innovative solutions. Operating at the intersection of B2B and D2C, we offer software, financial products, and services that drive real environmental impact—without compromising value. We deliver end-to-end solutions for whole home electrification that put clean energy within reach for all. Our employees are our most valuable resource. We foster a promote-from-within culture that prioritizes talent development, career growth, and purpose-driven work. Palmetto offers a comprehensive benefits package—including unlimited PTO, medical, dental, and vision coverage, paid parental leave, retirement plans, and more—so you can have it all both personally and professionally. Palmetto prioritizes people, planet, and profit—backed by a culture that values collaboration, impact, and balance. Join us in building a brighter, cleaner world. Location This position will be based in Charlotte, NC, New York, NY or Boston, MA. Reporting This position will report to the Director of Engineering, Building Science Summary of Role Come build the software and data layer that helps make energy cleaner and cheaper for millions of homes: turning fragmented, real-world energy data into structured, trustworthy intelligence that our products, customers, and partners can act on. You'll develop the services, pipelines, and models that estimate how homes use, produce, and pay for energy, and run them as reliable production APIs at scale. The role spans physics-based and machine-learning energy modeling, large-scale geospatial and remote-sensing data processing, utility and grid data processing across every US market, and AI systems where LLM-powered agents extract data from complex source documents with humans in the loop. We're looking for a strong, versatile engineer, comfortable across frontend, backend, and the underlying infrastructure, and who is fluent with modern AI frameworks, tooling, and harnesses. This role sits in the Data and Energy Intelligence Unit, a multidisciplinary team of engineers and scientists owning data-intensive applications across energy modeling, geospatial data, and applied AI. Energy expertise is a plus, but we care most about excellent engineering and sound judgment; the domain is something a strong, curious engineer can learn on the job. Strategic & Tactical • Build and ship features end-to-end across the stack, from production APIs and data pipelines to the interfaces on top of them., • Develop AI-powered capabilities where they fit, including LLM- and agent-based systems that extract structured, validated data from complex, unstructured documents with a human-in-the-loop review workflow., • Take models from prototype to production: build the APIs, pipelines, and infrastructure that run physics-based and machine-learning models reliably at scale, with the testing and observability needed to catch regressions before they reach customers., • Work with large geospatial and remote-sensing datasets (imagery, elevation, and related sources) that feed the platform's models., • Raise the engineering bar and quality: lead and participate in peer technical design reviews, and hold a high standard for testing, observability, evaluation (including for nondeterministic AI outputs), and operational excellence., • Communicate clearly with engineers, product partners, and non-technical stakeholders, while developing a deep understanding of the energy domain the platform serves. Qualifications Minimum: • Advanced proficiency in Python for production software, with a demonstrated ability to write clean, maintainable, well-tested code and design solid APIs and services., • Full-stack breadth: comfortable working across a backend and a modern frontend (e.g., React/TypeScript), and the underlying infrastructure. You are a generalist who can pick up whatever the problem needs., • Hands-on experience building production LLM systems and agents with frameworks like pydantic-ai, LangGraph, or Claude/OpenAI Agent SDKs, including prompting, evals, and extracting structured data from messy, unstructured sources at scale., • Fluency with agentic coding tools to multiply your impact, used critically: questioning and pressure-testing what they produce and keeping your own judgment in charge., • Experience building and operating production systems: APIs and services, data pipelines, relational databases (SQL/PostgreSQL), containerization, cloud platforms (AWS/GCP/Azure), and observability, with sound practices (version control, code review, testing, CI/CD). Preferred: • Geospatial and remote-sensing experience: imagery, elevation/point clouds, and libraries such as rasterio, geopandas, and shapely; PostGIS., • Depth in the modern Python web stack: FastAPI, SQLAlchemy, Pydantic, and async Python., • Frontend depth: React, Vite, TypeScript, and data-fetching/state libraries (e.g., TanStack Query/Router)., • Strong quantitative or algorithmic aptitude, and comfort with the Python data stack (pandas, polars, NumPy)., • Experience in the clean energy space, with home energy data, or in building electrification and decarbonization. Employment is contingent upon the successful completion of a background check. Equal Employment Opportunity Palmetto embraces diversity and is an Equal Employment Opportunity employer. Employment is decided on the basis of qualifications, merit, and business need. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or any other status protected under federal, state, or local law. For more about our Privacy Policy, visit: https://palmetto.com/privacy-policy

Job Description We’re building applied AI systems for high‑stakes, real‑world decisions. Our platform ingests and reasons over large, messy data to surface evidence with hard constraints around fairness, auditability, and low bias. The single gnarliest, most impact‑heavy place this problem shows up is in insurance claims, so that’s where we’re deployed today, running in production at some of the largest carriers in North America. We are seeking a visionary Principal Software Engineer to join our Engineering team. In this role, you will drive our technical strategy, tackle our most complex engineering challenges, and lead the integration of advanced AI models into highly scalable, production-grade features. We have engineering hubs in New York City and Toronto, and this role is 5 days per week onsite in one of those offices. We optimize for people who like to think deeply, whiteboard with other sharp engineers, and ship ambitious systems together in person. Join us at Owl.co and become an integral part of a forward-thinking team dedicated to transforming the insurance industry through technology. Your technical leadership will play a crucial role in shaping our product roadmap and delivering massive value to our clients. Key Responsibilities: Own the end-to-end system architecture of our core platform, ensuring it is highly scalable, secure, and capable of processing large-scale unstructured data. Spearhead the engineering effort to seamlessly integrate, scale, and maintain applied AI and machine learning models in a high-stakes production environment. Partner with Product leadership and cross-functional teams to define the long-term technical roadmap and translate business goals into actionable engineering initiatives. Act as a technical mentor and force multiplier for engineers across the organization, setting the gold standard for code quality, system design, and engineering best practices. Take hands-on ownership of the most difficult technical challenges related to system latency, model inference constraints, and complex data pipelines. Continuously evaluate and introduce new technologies, frameworks, and engineering practices to improve the speed and reliability of our technical stack. Ideal Profile: Bachelor's or Master's degree in Computer Science or a related technical field. 7+ years of experience in software development, with a proven track record operating at a Staff or Principal level within a product-driven organization. Deep, hands-on experience designing, deploying, and scaling AI/Machine Learning systems or LLM-based applications in a production environment. Experience with Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) techniques for LLMs and VMs. Expert-level proficiency in programming languages such as Python, TypeScript or similar. Exceptional problem-solving skills and the ability to navigate extreme technical ambiguity. High-level communication skills and the ability to debate architecture with engineers while explaining technical trade-offs to executive leadership. Extensive experience with cloud platforms such as AWS or Azure. Deep knowledge of containerized microservices architecture and modern backend APIs. Experience building software for highly regulated industries where auditability and bias mitigation are critical. Experience AI coding agents such as Claude Code, Codex, Cursor to accelerate development workflows. Benefits: Industry Leaders: Our technical leadership comes from Meta, Microsoft, X, and Goldman Sachs, bringing world-class expertise to our agile team. Market Leadership: We hold the largest market share in our space, offering a proven ROI and maintaining a 100% customer retention rate, with renewals consistently doubling their previous terms. Lean & Impact Driven Team: Our small, nimble team makes swift decisions and encourages direct communication and innovation through a flat organizational structure. You’ll make real, meaningful contributions right from the start. Established Product-Market Fit: AI-Driven Product that helps shape an AI-powered enterprise solution for insurance companies across the US and Canada. Healthcare benefits: we cover 100% of the premiums for you and 70% for your family members (medical, dental & vision) 401k matching to help you save for your future Recharge: 4 weeks of paid time off & 5 additional personal/sick days Daily team lunches Bi-annual offsites: we'll make sure everyone at Owl has an opportunity to hang out with teammates IRL at least twice a year Salary Range: $220,000 - $300,000 USD Our salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects a range target for new hire salaries for the position and could be higher or lower based on a multitude of factors, including job-related skills, experience, location, and relevant education or training.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role Charlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide. Our ML and AI capabilities are expanding rapidly—powering recommendation systems, clinical decision support, agentic AI products, and developer tooling—and the infrastructure underneath needs to scale with them. As our first dedicated ML Platform Engineer, you'll define the technical direction and build the foundational systems that our data scientists, ML engineers, and product teams depend on to ship AI-powered features reliably and at scale. We have several models in production today and are investing in hosted GPU inference to support the next generation of our AI capabilities. You'll inherit and evolve existing infrastructure while building new platform capabilities—from multi-tenant model serving and GPU inference pipelines to multimodal data management, evaluation frameworks, observability, and infrastructure as code. You'll own the platform layer that makes ML/AI development at Charlie Health fast, safe, and repeatable as the team grows. If you care about building the systems that let others build great things, this team is for you. Responsibilities Infrastructure & Serving • Define technical direction for ML/AI infrastructure and make build-vs-buy decisions as the founding platform engineer, • Design and operate multi-vendor AI infrastructure supporting client-facing and clinician-facing LLM applications across multiple LLM providers, • Design, build, and operate production model serving systems; maintain infrastructure as code for reproducible ML environments, training pipelines, and deployment workflows, • Develop high-performance GPU inference pipelines with low latency and high availability, • Own the multimodal data pipeline layer—manage ingestion, processing, and serving of text, audio, and structured clinical data for ML and AI systems AI Systems & Tooling • Create reliable infrastructure for agentic AI systems, including orchestration, monitoring, evaluation, and observability tooling, • Build developer tooling that accelerates data science and ML engineering workflows across the organization Observability & Operations • Own AI observability—build monitoring, alerting, and debugging capabilities for production ML systems, • Partner with ML engineers, data scientists, and product teams to understand infrastructure needs and translate them into scalable platform capabilities, • Foster a culture of collaboration and learning across engineering, product, and design through mentoring, documentation, presentations, and knowledge sharing, • Participate in our on-call rotation to ensure model serving uptime, pipeline reliability, and infrastructure healthRequirements, • 4+ years of professional experience in software engineering, with at least 2 years focused on ML infrastructure, ML platform, or AI systems engineering, • Strong software engineering fundamentals in Python and deep infrastructure expertise, • Familiarity with cloud ML services (AWS SageMaker, GCP Vertex AI, or similar) and CI/CD for ML pipelines, • Experience with infrastructure as code (Terraform, Pulumi, or similar) and container orchestration (Kubernetes, ECS), • Experience building evaluation and observability systems for LLM-based or agentic AI applications is a plus, • Excellent at managing ambiguity—able to break down big, messy problems into smaller parts with tractable solutions and clear iterations, • Growth mindset and sense of humor; you welcome feedback, adapt quickly in a fast-paced environment, and foster a culture of learning and fun, • Experience with a systems language (Go, Rust, or C++) is a plus This role requires 4 days per week in our NYC office (Flatiron District). The team is entirely based out of NYC. Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $170,000-$220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.