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Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do We're seeking a talented and experienced Senior Engineer for Network Observability to join our Network Observability team. In this role, you will be a key player in designing, developing, and maintaining the monitoring, telemetry, and observability systems that keep CoreWeave's GPU cloud network operating reliably and at scale. You'll focus on building solutions that provide real-time insights into network performance, ensuring that issues are detected proactively and resolved quickly. Your mission? To empower CoreWeave's network with advanced observability: robust metrics, powerful analytics, and automated alerting—so well-tuned that any anomalies become clear before they ever impact our customers. • Develop, optimize, and maintain network observability platforms. Use your skills in Python and Golang to create and automate collectors, exporters, and dashboards that provide deep visibility into network health and performance., • Collaborate with Network Engineering and Platform teams to ingest and unify logs, metrics, and events from a variety of platforms (Arista EOS, NVIDIA Cumulus Linux, Nokia SR OS, SR Linux, etc.) into a single observability pipeline., • Design and implement scalable telemetry solutions using protocols like gNMI, SNMP, and streaming analytics. Ensure advanced alerting and anomaly detection with tools such as Prometheus, Grafana, and Alertmanager., • Work closely with network developers, site reliability engineers, and security teams to integrate observability solutions across the broader infrastructure. Participate in design discussions, RFCs, and architectural decisions., • Join a rotating on-call schedule to troubleshoot and resolve observability-related issues. Provide timely support to operations teams, quickly isolating and fixing problems when they arise., • Deep familiarity with Prometheus, Grafana, Alertmanager, gNMI, and SNMP. Experience writing or extending custom metric collectors/exporters is a plus., • Experience as a Network Engineer, SRE, Software Developer, or Systems Administrator in large-scale environments. A track record of building and operating robust telemetry and monitoring solutions is a plus., • Passion for automating tasks and processes. You find satisfaction in creating workflows that handle repetitive tasks and reduce human error to near zero., • Comfortable containerizing solutions in Kubernetes, designing, building, and deploying container-based workloads efficiently., • Proficient with Python, Go, and Bash, plus familiarity with configuration management and templating tools (e.g., Ansible, Jinja2). ., • Strong knowledge of Linux systems and IP networking concepts, with hands-on experience in routing, switching, and network troubleshooting., • Practical knowledge with a variety of platforms, including Arista EOS, NVIDIA Cumulus Linux, Nokia SR OS, and SR Linux., • College Education: Bachelor's degree in Computer Science or a related field., • Machine Learning for Anomaly Detection: Hands-on experience applying ML techniques or tools (e.g., TensorFlow, scikit-learn) to proactively detect performance or security anomalies in network traffic., • Network Certifications: Certifications like CCNA, CCNP, or similar., • Advanced Metrics & Analytics: Hands-on experience with data pipelines, event correlation, or anomaly detection in large-scale environments., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $139,000 to $204,000. 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, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionSoftware Engineer (backend) New York, USA Salary: $300,000 OTE ($250,000 Base + $50k Uncapped Performance-Based Bonus) Stock: 0.6-0.9% at our ground-floor valuation with >100x upside potential. USA Work Authorization Required Intra-USA Relocation Package Available About Aurora Aurora is the operating system for high performance living. Our mobile app empowers the world's top founders, athletes and family offices to master their relationships, exploration and longevity across 5 lifestyle categories: travel, dining, experiences, luxury goods, and longevity. To date, we have: • ⁠⁠raised $4m in funding from Tier 1 investors and entrepreneurs, including the founder of Velocity Black, early investors in Supercell & Deliveroo, the founder of Cleo, the President of VistaJet, and top NBA and Premier League athletes, • ⁠⁠⁠achieved industry-leading engagement with our paying customers, with an extensive waiting list wanting access to the product, • ⁠⁠⁠built a proactive, seamless product described as ‘magic’ by our members We are now expanding our team as we grow our membership base globally. The Founding Software Engineer Our founding team of 15 is searching for an exceptional Backend Engineer to join as one of Aurora’s founding technical hires. You’ll work directly with our Co-Founders and product leadership to define and build Aurora’s backend infrastructure and foundations for our agentic functions - intelligent systems that anticipate, curate, and execute on the needs of the world’s highest-performing individuals. This is a chance to build the infrastructure for a revolutionary AI-enabled product powering the world's highest impact individuals, working with one of the world’s richest proprietary behavioral datasets. This role reports directly to Aurora’s Co-Founder & CTO, with the opportunity to rapidly grow into a leadership position across Engineering and Product. Our Principles We’re a team of tier-1 backed and exited operators united by our five core principles: • We seek truth, • We are high-leverage, • We are courageous, • We care deeply, • We believe impossible is an attitude Why Aurora: • High Leverage: Place a daily-use product in the hands of the world’s most ambitious and high-achieving individuals and organizations, empowering them to maximize their global impact, • Cutting Edge AI: Gain hands-on experience working with a revolutionary AI system, redefining lifestyle management at the highest level, • Generationally Defining: Play an essential role in building the Apple of lifestyle operating systems - a >$100bn opportunity at the intersection of technology, luxury, and longevity About the Founders Aurora was founded in 2024 by: • Jonah Lowenstein, previously backed by the investors & operators behind Facebook, Spotify and Venmo, • Aurelius Zwick, UK Young Entrepreneur of the Year, • Dmitry Ogurtsov, former Director of Engineering at Workbounce (conversational AI tool acquired by ZoomInfo) Aurora’s first investor and Chairman is Alex Macdonald, founder of digital concierge Velocity Black (acquired by Capital One for $300M). We’ve raised >$4M from tier-1 investors in this space, including Boost Capital Partners, Koro Capital, Insiders VC, EQT Angel Fund, the Founder of Cleo, the Founder of Wander, the Co-Founder of Vise, the Founder of Velocity Black, tier-1 athletes from the NBA and Premier League, and the President of VistaJet US. Requirements Key Responsibilities: • Take full ownership of features from concept to production rollout., • Design and build backend services and APIs in Python/Django with high reliability and clarity., • Maintain and evolve our agent orchestration, LLM integrations, and RAG/data pipelines., • Architect and improve cloud-native systems on GCP (Cloud Run, GKE, Cloud SQL, Redis, GCS)., • Develop and maintain IaC with Terraform to ensure consistent, stable deployments., • Optimize performance across SQL queries, Celery workloads, and backend endpoints., • Lead debugging, incident resolution, and root-cause analysis for production issues., • Implement secure coding practices and support compliance efforts (SOC2, PCI DSS, ISO 27001)., • Collaborate cross-functionally with product, curators, and frontend/mobile engineers., • Review code, mentor teammates, and drive architectural improvements. Who You Are:, • Deeply product-minded: you care deeply about the customer and think from first principles about how to make their experience seamless and delightful., • Technically skilled: strong Python experience and a proven ability to build reliable, production-grade features., • Curious and self-driven: someone who obsessively experiments on weekends, brings new ideas to the table, and gets energy from building real, user-facing systems., • Hungry and ambitious: you thrive in early-stage, high-ownership environments where speed, creativity, and adaptability matter more than titles or bureaucracy., • 7+ years of experience building and operating production systems., • Expert-level Django engineer: deep familiarity with DRF, best practices, and common pitfalls., • Strong command of Python, including data structures, algorithms, system design, and architecture patterns., • Solid experience with distributed job queues, ideally Celery, and designing resilient background processing., • Strong understanding of Infrastructure as Code, preferably Terraform, and modern cloud-native tooling., • Hands-on experience with Google Cloud Platform, particularly: GCR, GKE, Cloud SQL, GCS, and Cloud Logging., • Strong SQL skills, including query performance optimization and schema design., • Familiarity with security and compliance frameworks such as PCI DSS, SOC2, ISO 27001, and OWASP recommendations., • Experience with machine learning (scikit-learn, PyTorch, TensorFlow)., • Experience working with LLMs (Vertex AI, OpenAI) and modern AI toolchains., • Exposure to agentic systems, RAG pipelines, and intelligent automation., • Competitive salary + uncapped performance-based bonus., • Founding stock options package on the ground floor of a $10bn+ opportunity., • Lifestyle perks and access to exclusive Aurora events and services., • Whoop or Oura Ring on us., • $2,000 annual education budget., • Whatever tech you need to do your best work., • Generous parental leave., • Comprehensive health benefits, with 90% coverage including dental and vision.

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 Join Hinge as a Staff AI Engineer for Trust & Safety Operations, where you’ll lay the cornerstone of our agent-powered future. You will architect the foundational workflows, guardrails, and tooling that turn AI agents into everyday teammates for our Moderation, Appeals, and Support operators. Think of it as building the “operating system” for AI within Trust & Safety: establishing the orchestration layer, standardizing tool schemas, automating the agent lifecycle, instrumenting real-time monitoring, and ensuring every solution is robust, scalable, efficient, and responsible. You’ll collaborate closely with operations professionals and engineers, meet non-technical stakeholders where they are, and deliver value in tight, incremental loops tied directly to solving their biggest problems. Because we’re still early in our agent journey, you’ll enjoy a broad scope with an expectation of mentoring peers, shaping best practices, and defining the north star for AI-native operations at Hinge. If you’re energized by building green-field systems that leverage AI to solve challenging problems, this is your invitation to help write the next chapter of Trust & Safety to create a safer and more meaningful user experience on their journey to find an intimate connection.Responsibilities • Own the technical roadmap for AI automation across Moderation, Appeals, and Support workflows, driving discovery and prioritization of high-impact AI automation opportunities while providing hands-on technical leadership from concept to production., • Prototype agentic solutions using the latest platforms and frameworks and integrate them with existing internal and third-party tools and systems., • Deliver reliable, scalable, and robust automations with the appropriate evaluations, guardrails, human oversight, and clear performance monitoring., • Drive adoption by producing documentation, running hands-on training and enablement sessions for non-technical operators, and curating prompt libraries and playbooks that empower self-service iteration., • Collaborate closely with Data Scientists, Data Engineers, Product Managers, Backend Engineers, and the AI Platform Team to ensure a comprehensive and coordinated approach to improving operational efficiency., • Embed safety, privacy, auditability, and responsible-AI standards into every workflow in partnership with Legal and Security teams., • Agentic & workflow-orchestration expertise: Proven ability to design, build, and operate multi-step LLM agents with modern coordination frameworks., • Applied AI engineering & prompt craft: Deep Python skills plus hands-on experience integrating foundation models and crafting robust prompts and utilizing vector databases., • Rapid prototyping & experimentation: Comfortable shipping quick proofs of concept, running A/B or shadow launches, and iterating based on data., • Backend, data-systems & tool integration: Skilled at wiring external services and internal data into agent workflows through well-designed APIs and schemas., • Human-in-the-loop system design: Able to blend automation with human oversight through clear escalation paths, review checkpoints, and moderator tooling., • Operator enablement & training: Talent for translating technical workflows into clear, actionable training for non-technical teams and supporting their day-to-day adoption., • 7+ years of software or machine-learning engineering experience, with a recent focus on AI-driven automation or agentic systems., • 2+ years delivering solutions that combine automated decision support with human-in-the-loop review, ideally in Trust & Safety, customer support, or adjacent domains., • 2+ years designing and tracking operational metrics that demonstrate ROI, accuracy, and user-experience improvements for automated workflows., • 1+ years of hands-on work prototyping or operating agentic workflows (e.g., MCP, Agentspace, n8n) in real-world or open-source projects. #Hinge

Job DescriptionDescriptionPrecision Neuroscience is pioneering a brain implant, known as a brain-computer interface (BCI), to restore communication and independence for people with neurological conditions. Our cutting-edge technology is designed to empower people with paralysis to control digital devices—such as computers and smartphones—with their thoughts alone, opening new possibilities for daily life. Precision’s multidisciplinary team brings together leading experts in diverse fields such as neurosurgery, artificial intelligence, machine learning, microfabrication, electrical engineering, and more. We are committed to turning breakthrough scientific advancements into real-world solutions for people affected by conditions such as spinal cord injury, stroke, and ALS. As a Precision employee, you will be joining one of the fastest moving and best-capitalized companies in the emerging field of BCI. Since our founding in 2021, Precision has secured over $155 million in funding, developed and validated our technology, and initiated human trials in collaboration with some of the nation’s top hospitals. We are seeking a Senior Mechanical Engineer to join our Implant Hardware team to design scalable solutions to chronically implanted electronics. This position will best suit someone who is experienced with mechanical design of Class III medical devices with implantable electronics such as IPG, DBS, spinal cord stimulator, cochlear implants, etc. This is an extraordinary opportunity to join our core team to help shape the future of our company. Your work will see commercialization quickly so that we improve the lives of patients who live with neurological disorders in a matter of months and years, not decades. This position is on-site at our Manhattan office. To be eligible for this role, you must currently be based in the United States, and have working rights. Key Responsibilities • Execute hands-on design, testing, and process development tasks for mechanical packaging of implantable electronic components., • Complete hands-on assembly, integration and testing tasks while ensuring rigorous quality control is being enforced., • Collaborate with the rest of our team to publish and present our work., • BS/MS in Mechanical Engineering (ME), Biomedical Engineering (BME) or similar., • 5+ years of industry experience in mechanical engineering roles, preferably in the medical device industry., • Experience designing parts for CNC, injection molding, 3D printing, and die stamping manufacturing techniques., • Experience designing class III medical devices with implantable electronics, • Experience with medical leads, connectors, and feedthroughs., • Experience designing, evaluating, and debugging hermetic seals, laser welded/brazed joints, and thick film metalization., • Experience with compression molding, liquid injection molding, or overmolding, • Excellent organizational and communication skills; able to collaborate with neuroscientists, neurosurgeons, and electrical, software, materials, and bio engineers., • Expert in CAD (we use SolidWorks) and finite element analysis FEA, • Track record of working towards accelerated timelines.

Job Description InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact. Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi's global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide. Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company's Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond. At InMobi Advertising, you'll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit Overview As a Lead Solutions Engineer, you would oversee integrations with advertisers, exchanges, and ecosystem partners using InMobi's products to develop innovative solutions and overcome technical obstacles presented by customers. You would be responsible for guaranteeing the technical aspects of the assigned integrations (both new and ongoing) by providing necessary requirements and technical guidance. You will actively shape the business with your technical expertise, customer focus, and passion using InMobi advertising solutions. *This role is in-person and on-site in our New York, NY office and is not open to remote locations. The Impact You'll Make • Partner directly with advertisers, DSPs, and internal teams to provide technical guidance pre- and post-sales., • Drive adoption of our audiences, curation partners and reseller platforms, • Troubleshoot and resolve technical issues in programmatic deals, ensuring smooth campaign delivery., • Act as the technical liaison between Regional Sales, Product, and Engineering teams to align customer needs with product capabilities., • Manage customer product integrations and deployments across multiple stakeholders., • Translate advertiser and market feedback into actionable insights for Product and Engineering teams., • Stay on top of programmatic ecosystem trends to be a trusted advisor for clients and partners.Experience / Skills, • 10+ years of experience in ad tech or digital advertising, with deep knowledge of programmatic supply & demand ecosystems., • 5+ years in a client-facing technical role (solutions engineering, sales engineering, or technical account management)., • Strong understanding of private marketplace deals, programmatic direct, DSPs, and deal troubleshooting., • Hands-on experience with audience management, data onboarding and data clean rooms., • Strong problem-solving skills with the ability to operate in ambiguity and drive clear outcomes., • Passion for customer success, with proven ability to balance technical depth and business impact., • Working knowledge of APIs, data flows, and basic querying (SQL, scripting) to support debugging and solutioning. InMobi is the leading provider of content, monetization, and marketing technologies that fuel growth for industries around the world. Our end-to-end advertising software platform, connected content, and commerce experiences activate audiences, drive real connections, and diversify revenue for businesses everywhere. InMobi is a trusted and transparent technology partner for marketers, content creators, and businesses of all kinds. Incorporated in Singapore, InMobi maintains a large presence in San Mateo, CA, and Bangalore and has operations in New York, Delhi, Mumbai, Beijing, Shanghai, Jakarta, Manila, Kuala Lumpur, Sydney, Melbourne, Seoul, Tokyo, London and Dubai. To learn more, visit inmobi.com. Our Purpose InMobi creates transformative mobile experiences and software platforms to positively impact people, businesses, and societies around the world. We believe that our innovations at the intersection of artificial intelligence, commerce, and the creator economy will revolutionize the way consumers use their mobile devices. Our mission is to power our customers' growth with innovative content and commerce experiences that help them activate their audiences and drive real connections. How do we do it? • An End-to-End Content, Monetization, & Marketing Platform the fuels industry growth, • AI-Powered Audience Activation for the open content, media, and marketing ecosystem *Our ranges may vary based on the final location and region of the role in accordance with the geographical differentiation in pay scales in the country. In addition to cash compensation, based on the position, an InMobian can receive equity in the form of Restricted Stock Units (RSUs). We believe that our employees/personnel should have the ability to own a part of the entity they are a part of. Therefore, the entity employing you may elect to provide such stocks to you. Ownership of stock aids us to treat our employer company as our own and base our decisions on such a company's best interest at heart. To encourage a spirit of shared ownership, we grant InMobians relevant company stock(s). As you contribute to the growth of your company, certain stocks may be issued to you in recognition of your contribution. A quick snapshot of our benefits: • Competitive salary and RSU grant (where applicable), • High quality medical, dental, and vision insurance (including company-matched HSA), • 401(k) company match, • Generous combination of vacation time, sick days, special occasion time, and company-wide holidays, • Substantial maternity and paternity leave benefits and compassionate work environment, • Flexible working hours to suit everyone, • Wellness stipend for a healthier you!, • Free lunch provided in our offices daily, • Pet friendly work environment and robust pet insurance policy - because we love our animals!, • LinkedIn Learning on demand for personal and professional development InMobi provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. All qualified applicants will receive consideration for employment 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. The InMobi Culture At InMobi, culture isn't a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences. We thrive on challenges and seize every opportunity for growth. Our core values — thinking big, being passionate, showing accountability, and taking ownership with freedom — guide us in every decision we make. We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace. Visit to better understand our benefits, values, and more!

Job Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022) You will work closely with cross-functional teams to ensure the delivery of high-quality, well-governed datasets and data products that empower data-driven decision-making across the business and product landscape, ultimately driving Maven's growth and customer success. You will also collaborate with product and leadership teams to help shape the strategic roadmap for Maven's data functions. As a Senior Data Engineer at Maven, you will: • Lead the design, development, and maintenance of high-performance, cost-efficient data pipelines - both batch and streaming., • Build and maintain robust data ingestion and export workflows that ensure end-to-end data quality, observability, and reliability in production environments., • Collaborate with data platform and backend engineering teams to evolve a scalable, secure, and fault-tolerant data architecture., • Drive technical design reviews and provide mentorship on engineering best practices, data architecture principles, and high coding standards., • Partner with product and service engineering teams to shape and model source datasets, ensuring alignment with a unified data vision across systems., • Bachelor's or Master's degree in Computer Science or related field, or equivalent experience., • 6+ years of experience in data engineering or backend systems development, with a track record of building scalable, performant, and reliable data solutions., • Highly proficient in SQL or similar languages for data transformation / ETL and analysis., • Deep experience in data modeling for large-scale distributed data warehouses (e.g., BigQuery, Redshift, Snowflake), with a strong understanding of design trade-offs and best practices., • Demonstrated ability to collaborate effectively with cross-functional partners, particularly product, analytics, and operations teams., • Working proficiency in one of the programming languages (Java, Python, Go, etc.), and hand-on experience with one of the workflow orchestration tools (eg. Apache Airflow), • Product-oriented mindset with a strong focus on scalable, maintainable engineering solutions that meet real business needs., • Experience leading design reviews and setting engineering standards and architecture direction. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, and remotely via San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .

Job DescriptionWho we are:Nitra's mission is to build a more efficient healthcare system and the technology that makes it possible. Our goal is to provide an ecosystem of fintech and software solutions that help doctors better manage their practices, so they can have time back to focus on what matters to them most. Nitra offers physicians and medical clinics around the country credit and expense management products they crucially need, as well as a medical supply marketplace, in an all-in-one platform powered by machine learning technologies. Nitra was created by unicorn founders who have successfully scaled to thousands of customers and exited $1B+ public offerings. They are joined by an ambitious and experienced team from American Express, Plaid, and Goldman Sachs. The team is backed by some of the world’s leading VCs (Andreessen Horowitz, NEA, etc.) and is supported by an expert group of advisors including the cofounders of Square and Xendit, executives from Intuit, former Governors, White House senior staffers, and a co-founder of CityMD. We're looking for:A Backend Engineer with experience in Fintech or marketplaces who will be at the forefront of our mission to bring better finance solutions to millions of businesses in the United States. We need high-achieving and goal-oriented individual who will help Nitra to deliver on an ambitious roadmap of innovative banking and SaaS products.Your responsibilities will include: • Building backend APIs using node.js and express.js with a PostgreSQL database, • Working with banking and payment APIsYou have:, • Deep experience with and understanding of:, • JavaScript (5+ years), • Node.js (5+ years), • Express.js framework (2+ years), • APIs (5+ years)/Building fintech backend APIs (1+ years), • Databases (PostGreSQL) (2+ years), • Architecture (2+ years), • Fintech web applications (1+ years), • The ability to see challenges as opportunities to level up. High-achieving and goal-oriented. A self-starter, you are always able to understand the bigger picture, and take a leading role to impact it., • A collaborative spirit and the ability to communicate effectively with stakeholders, Highly collaborative and transparent in your work, output, and decision making., • A winning mindset and entrepreneurial spirit., • Passion for creative thinking and bold ideas for growing the business/enhancing customer experience. Always curious, ready to ask questions, and open to being questioned., • Expert time management and organizational skills., • The desire to be mentored by a unicorn founding CTO and engineers with experience at top notch companies like Facebook. We offer:, • Equity - Everyone at Nitra is an owner. When the company wins, you win, • Competitive Salary - You’re the best of the best, and your salary will reflect your experience and reward your contributions to Nitra, • Health Care - Your health comes first. We offer comprehensive health, vision, and dental insurance options.

Job Description About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We partner directly with: AI-first startups building products powered by LLMs, generative AI, intelligent automations, Established tech companies: scaling their ML infrastructure, recommendation systems, and data platforms, and Enterprise innovation teams integrating AI into traditional domains such as finance, healthcare, and logistics. We collaborate directly with founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Our Client Is a San Francisco based startup building a GenAI-native platform that automates one of the most complex, time-consuming challenges in finance and Tax and turning dense tax documents into structured, usable data in minutes. Their system processes everything from K-1s and K-3s to intricate footnotes with near-human precision, achieving over 99% accuracy on income lines and streamlining workflows across Excel and API integrations. They serve some of the most sophisticated players in private wealth, and asset management, helping them move faster and make better decisions in an industry where accuracy and speed define competitiveness. Backed by seasoned founders and AI leaders from top-tier tech companies like facebook and salesforce, this team combines product craftsmanship with cutting-edge machine learning to bring intelligence to a domain that has long resisted automation. Recently acquired by a global technology leader, the company now operates with the mindset, pace, and creative autonomy of a startup but with the stability, benefits, and resources of an established enterprise. Youll be joining a team of proven builders whove scaled products to acquisition, engineered systems that power billions of data points, and are now applying GenAI to redefine how financial data is understood, structured, and acted upon. Location: Union Square, San Francisco Work type: Full Time, 5 days a week On-Site. Compensation: above market base + bonus + equity Visa: sponsorship available for candidates with demonstrated brilliance and expertise. What we are looking for Were seeking an Applied AI / ML Engineer with 5+ years of experience building and scaling commercial machine learning systems in meaningful ownership roles, especially with document understanding and extraction. You are an exceptional builder who thrives at the intersection of real world features and AI/ML engineering, someone who not only understands how models work, but also how to use them to deliver real, measurable value to end users. This role is central as they scale their GenAI-native platform for tax document processing, combining the velocity of a startup with the backing of resources and reach of a large multi national firm. Roles & Responsibilities * Build and scale the ML and product infrastructure that powers intelligent tax document processing at production scale. * Design and optimize inference systems, dataset pipelines, and specific logic to improve accuracy, speed, and quality as we expand to millions of documents. * Collaborate closely with accountants and tax domain experts to deeply understand workflows, pain points, and quality thresholds translating insights into productized ML systems. * Integrate inference pipelines into a seamless, end-to-end experience that transforms how tax professionals process and interpret documents. * Develop expert systems that encode institutional tax knowledge into scalable, maintainable software components. * Drive experiments, measure outcomes, and iterate rapidly on core ML metrics. * Collaborate cross-functionally with product, engineering, and leadership to shape technical direction and influence product vision. Qualifications Core Experience * 4+ years of experience in machine learning / AI engineering with proven end-to-end ownership of ML-powered products. * Strong track record of building systems that create direct user value, not just research prototypes or internal tooling. * Demonstrated ability to work with large, complex datasets, optimizing for accuracy, scalability, and reliability. Strong fundamental understanding of how to build, measure, and iterate on ML systems and ML-powered enterprise or consumer products. * Comfortable with Python and popular ML libraries (e.g. pandas, scikit-learn, spaCy, pytorch, tensorflow, keras), cloud providers such as GCP/AWS, container technologies (e.g. Docker, Kubernetes), web application development including Python-based web servers (e.g. Flask, Django), and database and storage layers (e.g. Postgres, SQL, S3/GCS). * Experience deploying or integrating LLMs, LLM APIs, Agents and prompt engineering into production systems. * Strong Python proficiency and hands-on familiarity with ML infrastructure and data workflows. * Experience in document understanding, OCR, or applied NLP. * Exposure to financial or tax-related data environments. * Startup or 01 product experience. Soft Skills * Exceptional problem-solving ability, curiosity, and product intuition. * Strong communication skills with the ability to engage directly with domain experts and translate complex needs into technical solutions. * Growth trajectory demonstrated through promotions or increasing scope of responsibility. Other roles in Applied AI / ML in the US, check them out here: * Applied AI / ML engineer focusing on LLMs, and Knowledge Graphs: [

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,() 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

Job DescriptionAbout Workato Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility. Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today's fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com. Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: * Business Insider named us an "enterprise startup to bet your career on" * Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world * Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America * Quartz ranked us the #1 best company for remote workers We seek an exceptional Senior Solutions Consultant, Agentic AI (Presales) based in North America to join our growing team. This role will report to our Global VP of Solutions Consulting and will play a key role in shaping a vision for our customers. It will also be the trusted advisor on Workato's AI Agentic capabilities to provide thought leadership best practices and help scale and drive adoption to achieve its strategic initiatives. In order to be successful in this role, you must be able to articulate technology and communicate the value of Workato's products to prospective business and technical users and buyers with a focus on enterprise applications. You will also help shape the product and direction of the company by communicating market needs to the Product Management team As a Snr Solutions Consultant, you will be part of Workato's Presales Team and Architecture community and you will own the technical alignment with the customer during the pre-sales lifecycle through workshops and interactions that will define the customer's future state for AI and Enterprise Automation. Responsibilities This is a role for the North America-based role. Proximity to Palo Alto / NYC / Austin / Boston / Denver is preferred. In this role, you will also be accountable to: We seek an exceptional Solution Architect to join our growing team. In this role, you will enable our clients to become proficient on Workato's Agentic Platform, empowering their employees and building AI Agent solutions for their business. You will also be responsible to: • Collaborate with cross-functional customer teams, including data scientists and software engineers, AI leaders, and Architects, to show how Workato Agentic can change their work., • Effectively team with Sales AEs, Solution Architects, and other functions to evangelize our Agentic and AI capabilities, our approach to delivering Workato Agent solutions and AI infused use cases, and architecture tailored to the customer's AI use cases., • Articulate and educate on AI, Generative AI and Agentics architectural concepts to a variety of audiences, including digital leaders, AI engineer, prompt developers, data architects, enterprise architects, IT ops and line of business, marketing Ops, Finance Ops, People Ops etc., • Assist sales teams with technical discovery with customer prospects and be able to architect/build AI blue print solutions using Workato products, • Create and deliver custom product demonstrations, AI Agentic use cases, • Support solution accounts to execute technical workshops and proof of concepts (POCs), on-site or remote., • Able to respond to functional and technical elements of RFIs/RFPs, • Collect feedback from the field, synthesize, analyze, and channel it to product management and engineering for the AI agentic product roadmap., • Support Marketing with developer marketing and evangelism activities, including writing blogs, participating in demo-driven webinars, and speaking at industry events, • Stay updated on the latest Agentics, AI and machine learning advancements, research papers, and tools, incorporating them into AI development projects.RequirementsExperiences, • Bachelor's Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent hands-on experience in AI development., • Proven track record as an AI Engineer, with portfolio examples of successful machine learning or AI projects., • 06-10 years of pre-sales experience in a SaaS/iPass organization., • Familiarity with LLMs and has directly interacted with the development or support of chat based AI applications., • Strong understanding of prompt engineering, RAG, vector databases, function calling, chain of prompt reasoning, and other state of the art techniques to improve LLM behavior and performance., • Hands-on experience using OpenAI, Azure OpenAI, Google Gemini, Amazon Bedrock and Anthropic. Good working knowledge of these APIs as opposed to just chat based interfaces like Claude and ChatGPT., • Hands-on experience with iPaaS technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and Databases., • Knowledge of python programming (or understanding/familiarity with object-oriented programming). Qualification, • Ability to learn new concepts, and technologies to solve problems., • Excellent presentation abilities and composure in front of all levels of technical and business audiences., • Ability to lead architectural discussions., • A passion for technology and translating that passion into business impact for customers., • Excellent verbal communication, written communication, and presentation skills in front of all audiences.

Job DescriptionResponsibilities • Lead the Machine Learning and Applied Science team through strategic roadmaps to support business initiatives with high impact., • Guide the teams technically, engaging in architecture definition, implementation of best practices, and troubleshooting when needed., • Mange the team through all phases of machine learning development, from concept and design to deployment and monitoring., • Stay ahead of state-of-the-art research and industry trends in machine learning, computer vision, pricing algorithms, and related fields., • Collaborate with other Engineering and Product teams to evaluate requirements and use cases for new systems., • Invest in the career development of the team members, develop future leaders, and create a culture of cohesion and teamwork., • Participate in talent acquisition processes to ensure that we have world class engineers across all skill and experience levels., • Establish metrics to measure the productivity of the team, hold people accountable and identify people issues early.Requirements and Qualifications, • PhD or MS in Computer Science, Statistics, Operations Research or a relevant quantitative discipline. PhD is strongly preferred., • 5+ years of industry experience, with at least 1+ years of experience leading machine learning teams preferably in computer vision or pricing domain., • 2+ years of experience as a hands-on senior, staff, or principal engineer with demonstrated end-to-end ownership of a machine learning project before transitioning into managing teams., • Expert level knowledge in Python and SQL for model development and statistical analysis., • Proficiency in ML frameworks such as TensorFlow, PyTorch, or scikit-learn., • Proficiency in edge computing, distributed systems, and cloud platforms (e.g., AWS, GCP, Azure)., • Strong foundation in data structures, algorithms, and optimization techniques., • Experience with common program management (MS Project, Visio, etc.) and productivity (Confluence, Jira, etc.) tools., • Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences., • Previous experience working inside innovative, high-growth environments is a plus., • Publications or patents in relevant fields such as machine learning, computer vision, or optimization is a plus.Company DescriptionStaffSource is committed to creating long-term partnerships where we can truly affect both clients’ and candidates’ lives for the better. Our success is rooted in matching talented professionals with environments that suit their goals, personalities, lifestyles, and skills. A perfect placement allows candidates to thrive in their new role and hiring managers to fill their openings with top talent that aligns with both the needs of their team and the company’s culture. Founded in 2003, StaffSource now has a 20+ year company history with business units operating within Information Technology, Accounting and Finance, Sales, Executive Search and more. Still headquartered in Knoxville, TN and lead by our founder John Sharpe, we are now serving clients and candidates all across the United States. We conduct national, regional, and localized talent searches based on the specific needs of each client and the unique goals of top talent everywhere.StaffSource is committed to creating long-term partnerships where we can truly affect both clients’ and candidates’ lives for the better. Our success is rooted in matching talented professionals with environments that suit their goals, personalities, lifestyles, and skills. A perfect placement allows candidates to thrive in their new role and hiring managers to fill their openings with top talent that aligns with both the needs of their team and the company’s culture.\r\n\r\n Founded in 2003, StaffSource now has a 20+ year company history with business units operating within Information Technology, Accounting and Finance, Sales, Executive Search and more. Still headquartered in Knoxville, TN and lead by our founder John Sharpe, we are now serving clients and candidates all across the United States. We conduct national, regional, and localized talent searches based on the specific needs of each client and the unique goals of top talent everywhere.

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

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityAs an ML Engineer at Radical AI, you will be responsible for developing machine learning systems, data pipelines, and large-scale training infrastructure. You will orchestrate entire machine learning lifecycles, but also data ingestion, enrichment, model exporting and serving, and much more. Your work will directly impact the development of an end-to-end AI-driven approach to materials discovery and development. Positions are available at various levels of seniority: Senior, Staff, and Principal.Mission • Develop, train, and deploy machine learning models to solve complex problems in materials science and lab automation., • Experiment with cutting-edge ML algorithms and techniques to improve performance and scalability., • Collaborate with researchers on the pre- and post-training stages of model development., • Conduct production-level deployments of our machine learning models and infrastructure., • Continually evaluate model performance and maintain production integrity., • Ensure reproducibility and traceability of models by leveraging version control systems and orchestration tools., • Contribute to research initiatives and participate in knowledge-sharing across teams., • Document workflows, experiments, and deployment procedures for future reference., • Tackle challenging problems with new and different ideas, creativity and contrarian thinking., • Mentor and guide junior team members and interns, promoting an environment of continuous learning and innovation.About you, • Ph.D., M.S., or B.S. in Computer Science, AI, Machine Learning, Applied Maths, Engineering or a closely related field, or equivalent practical experience., • Proven record of accomplishment in building machine learning systems, working with large generative and/or language models, • An excellent understanding of machine learning infrastructure and systems fundamentals., • Strong background in algorithms, data structures, and software engineering principles., • Working knowledge of various generative AI architectures, including transformers, diffusion models, CNFs, and flow matching., • Proficiency in Python and relevant ML libraries (e.g., PyTorch), as well as tools for deploying ML models (e.g., MLflow, K8s, Docker)., • Passion for staying current with the latest trends in AI/ML technologies., • Excellent collaboration and communication skills, capable of articulating complex technical ideas clearly and effectively.Pluses, • Familiarity with distributed computing frameworks such as Ray, Spark, etc., • Strong fundamental knowledge and practical experience using Linux systems, including working with large-scale computing clusters., • Hands-on experience with MLOps tools (e.g., Kubeflow, Seldon, CI/CD pipelines for ML)., • Familiarity with serverless architecture and cost optimization for ML workflows., • Strong publication record in top-tier AI/ML conferences or journals.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

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 Data Engineer at Hinge, you will create essential data processes and contribute to components of a modern data pipeline that will be the foundation of Hinge’s decision-making ability. The systems you help create, the problems you help solve, and the support of our analytical minds, will be pivotal 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 millions of people. As a Senior Data Engineer on the team, you will be improving core functionality and implementing critical pipelines that will not only aid the Data Engineering team but also the rest of the organization. You will be working on an actual big data architecture while concentrating on real-world problems.Responsibilities: • Work with our data teams to ensure data is flowing accurately through data creation to our presentation layers., • Improve our Data Engineering stack through containerization, data modeling, developing our ETL pipelines, and more., • Use your expertise in data modeling to design, build, and maintain our analytics data warehouse, which provides clean, accurate, and robust data sets that can be leveraged for reporting, analytics, and machine learning initiatives., • Work with stakeholders and translate their needs and expectations into action items and deliverables., • 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:, • 5+ years of professional/industry experience, • Proficient in Python, SQL, DevOps, and databases., • 5+ years of professional/industry experience., • Experience delivering data products from conception to delivery and with the infrastructure that supports their underlying processes., • Experience modeling data sets for different types of sources and business processes., • Passionate about designing elegant data infrastructure, tooling, and pipelines. #Hinge

Job Description Basic Qualifications: • Knowledge of different compilation steps (and ability to fix) in languages such as Go, C, C++, or Java., • Excellent communication skills and the ability to collaborate effectively with cross-functional teams, • Ability to mentor and grow a group of other Software Engineers, • Ability to lead projects with several cross-org dependencies and design complexities, • Large-scale training using data structures and algorithms, • Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning) Preferred Qualifications • PhD or equivalent in Computer Science, Engineering, Mathematics or related field, • 8+ years of experience in professional software development experience, developing and deploying systems in production environments, • Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib, • Excellent communication skills and the ability to collaborate effectively with cross-functional teams, • Ability to mentor and grow a group of other Software Engineers, • Anomaly Detection Techniques, • Deep Learning, • Scalable ML architecture, • Feature management, • Causal ML, • Reinforcement learning Anticipated base 250-280k + bonus + equity and comprehensive benefits

Job Description Senior Frontend EngineerWe’re looking for a Senior Frontend Engineer to lead the development of modern, high-performance user interfaces for a fast-scaling, AI-enabled SaaS platform. In this role, you’ll take ownership of our UI architecture, contribute to a growing design system, and deliver pixel-perfect experiences across browsers and devices.You’ll work closely with product and design teams to shape intuitive, accessible, and responsive interfaces that elevate the user experience. If you're passionate about clean, scalable UI and excited to build next-gen features powered by AI, we’d love to connect. Responsibilities: • Own the implementation and evolution of UI components, styling architecture, and design tokens, • Lead frontend efforts to enhance accessibility, performance, and responsiveness, • Collaborate with product and design teams to explore and validate interface patterns early in development, • Deliver pixel-perfect implementations that work seamlessly across all modern browsers and screen sizes, • Mentor frontend developers on best practices around CSS architecture, responsive design, and accessibility, • Help expand and maintain the internal design system (e.g., with tools like Figma, Storybook, etc.), • Conduct UX/UI audits and recommend improvements to drive a better user experience Required Skills:, • 5+ years of experience building modern web application UIs, • Deep expertise in HTML5, CSS3/SASS, JavaScript, Typescript, and React, • Strong experience working with and scaling design systems, • Solid understanding of responsive design, cross-browser compatibility, and mobile-first development, • Experience integrating with AI or machine learning APIs, • Skilled in translating designs into code with pixel-level accuracy, • A passion for interaction design, consistency, and building scalable component libraries Compensation:, • $150,000 - $180,000 base salary + equity

Job DescriptionBustle Digital Group (BDG) is looking for a talented Data Engineer to join our growing data team. You will work alongside the Director of Data Engineering to build, optimize, and scale our data infrastructure, supporting the development of data-driven products and insights that power our advertising, affiliate sales, and editorial content strategies. This is a fantastic opportunity to work with large-scale data pipelines, cutting-edge technologies, and a dynamic team that values innovation and impact.What You'll Do • Develop & Maintain Data Pipelines: Build scalable and efficient ETL pipelines to support analytics, reporting, and machine learning initiatives., • Optimize Data Storage & Performance: Work with large datasets to improve storage solutions, query performance, and data accessibility., • Collaborate Cross-Functionally: Partner with engineering and business teams to develop data solutions that enhance advertising, affiliate sales, and editorial insights., • Ensure Data Quality & Reliability: Implement monitoring, validation, and governance processes to maintain the integrity and security of our data., • Contribute to Data Strategy: Support the Director of Data Engineering in designing and implementing scalable data architectures and best practices.Who You Are, • Experienced Data Engineer: 2+ years of experience working with data infrastructure, ETL processes, and large-scale datasets., • Proficient in SQL & Python: Strong knowledge of SQL for querying and manipulating data, and experience with Python for scripting and automation., • Cloud & Big Data Savvy: Hands-on experience with cloud platforms (AWS, GCP, or Azure), data warehouses (BigQuery, Redshift, Snowflake), and distributed processing (Spark, Airflow, or similar)., • Experience working data generating frontends in React and TypeScript., • Problem Solver & Innovator: Passionate about solving complex data challenges and improving system efficiency., • Team Player & Communicator: Strong collaboration skills, with the ability to explain technical concepts to non-technical stakeholders.BDG Benefits, • Competitive Compensation: Market-based salary with annual reviews., • Unlimited PTO: Take the time you need to recharge and stay productive., • Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your dependents., • Retirement Savings: 401(k) plan.

Job DescriptionSalary: 120,000-150,000 We are looking for a Solutions Engineer, specialising in Search, or GenAI, or DevOps with strongPythonskills,and with relevant work experience in a software product company. You'll be helping to deploy, customize and support the Squirro platform onUnix systems. Squirros Insight Engine platform uses state-of-the-art machine learning algorithms and natural-language processing tools to analyseunstructured data.We offer a flexible work environment. This position, within the global delivery team, will implement Squirros Search and Insights applications which also integrate Large Language Models (e.g. chatGPT) using real-world client data. About the role We are looking for someone who wants to use their affinity for technology in a business context where AI solutions bring massive business value. In this role, you might facecorporate bankers who are sourcing the next big M&A opportunity, or business stakeholderswho translate business requirements into technological products. We need someone who brings the enthusiasm and interest to grow into this role. Responsibilities: • Work with partners and customers on an operational level throughout the stages of solution qualification, implementation, and support., • Implement innovative digital transformation projects, primarily in the Finance & Public Sectors., • Collaborate with Business and Engineering team members on customer use cases to deliver the solution design with the aim of meeting or exceeding the business expectations., • Provide technical expertise and run tests on the requirements and suitability of Squirros modules and features with regards to the solution scopes from customers and partners., • Engage with technical users of all levels from Squirros ecosystem of partners and customers to provide technical guidance on the development, implementation and support of solution using Squirros modules., • Extending Squirros platform with custom backend components in Python and Bash within the platforms operational sphere., • Collaborate with Engineering team members on product features required by the market and contribute towards product development., • Deploying solutions on hybrid infrastructure within Linux environment, using infrastructure code tools such as Ansible., • Advocate the adoption of our Frontend BI dashboards and execute potential custom extensions to meet users strategic objectives for Insights from Squirros platform., • Drive the generation and maintenance of documentations throughout a Waterfall or Agile project lifecycle as part of Squirros knowledge sharing policies and culture., • Drive or support project management tasks in projects that are delivered by Squirro or our partners., • Ensure high-quality delivery of Squirros solutions and proactively manage risk and dependencies. Preferred experience: • Minimum 5 years intechnical consulting,software engineering, and/or DevOps engineering roles., • Minimum 3 years in aclient-facingrole as a point-of-contact for technical and non-technical users., • Experience in implementing a full project lifecycle based on Waterfall and Agile methodologies. Projectmanagement would be an advantage., • Experienced in working withElasticsearchin production deployments. This involves things like relevancy-tuning Elasticsearch, efficient data modelling, optimizing search and indexing performance., • Experience in writing server-side web application logic and implementingREST APIs., • Experience testing code, debugging programs and integrating applications with third- party web services., • Experience inRedisand/orPostgres/MySQL/MariaDBdatabase management., • Experience performing system administration tasks onLinuxand shell scripting., • Experience working with application development usingmicroservices architecture., • End-to-end project delivery, including the setup and deployment of IT solutions for clients, data loading, data enrichment and analysis, data visualisation, and integration. Ideally, you also have: • Unstructured data on a previous project or role., • Natural Language ProcessingandMachine Learningknowledge., • Ability to communicate and coach complex technical concepts to various levels of external technical users such as from customers and partners., • Experience in building and maintaining project documentations to support implementations executed internally or by partners., • Experience in managing and communicating product documentations to an external ecosystem would be an advantage. Who you are: • You are a smart, open-minded and curious person., • You can deal with challenges and are able to find the best technical solution., • You can identify the root cause of a problem and name it., • Strong programming experience in Python., • Experience with using Linux, • Proven track record in software systems design, implementation and coaching., • Good communication skills and an easily adaptable team player. Our tools: • Core software: Python, JavaScript, GNU/Linux, • Data storage: Elasticsearch, Postgres/MySQL/MariaDB, Redis, • Web components: Flask, FastAPI, NGINX, • Frontend components: React, • Other: Atlassian (Jira, Confluence), Git What we offer: • A start-up like environment and culture, fast-paced and agile with quick decision-making., • An environment where team members at all levels can make a difference., • Opportunity to work on search and AI projects using cutting edge technologies., • Ongoing feedback as part of our working culture to grow and develop., • We believe in life-long learning and supporting the development of our staff. About Squirro Businesses capitalize on new opportunities, improve client relations, and optimize decision-making capabilities using Squirros vertical-specific Augmented Intelligence solutions, which combine human intelligence with powerful AI. An Insight Engine at its core, we deliver contextualized insights from your most relevant data sources and displays them directly, via workbench integrations, or through self-service applications. Squirro works with global organizations, primarily in the Financial Services, Insurance, Telecommunications, and Manufacturing industries. Customers include Bank of England, Standard Chartered Bank, the European Central Bank, Henkel, and Candriam (A New York Life company). Founded in 2012, Squirro is currently present in Zrich, London, Munich, New York, and Singapore. Further information about AI-driven business insights can be found at

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: We are hiring a Staff Machine Learning Engineer to drive the design, development, and deployment of machine learning systems that power our core products in User Growth and Monetization. You will work on building deeply personalized user experiences that drive business growth and meet individual needs and preferences: by targeting the right users with the right products at the right time, we empower product teams to drive meaningful growth in revenue and user engagement while enhancing user satisfaction. The Growth Product Group is responsible for the development of paid features to accelerate dating outcomes, driving engagement throughout a user’s lifecycle and making Hinge the dating destination for all communities. You can expect to work on a broad range of problems, from identifying how to send the right message to the right user at the right time to optimizing the efficacy of our paid offerings. This is a fast growing team, and you will help define the vision and strategy that drives meaningful growth and accelerates machine learning at Hinge.Responsibilities: • Lead the end-to-end development of production-grade ML systems such as user targeting models that will help drive engagement, improve dating outcomes and/or improve user adoption of and engagement with paid features, • Define and own the technical roadmap for ML within your product area and align with company-wide priorities, • Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process, • Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters incrementally, • Keep abreast of and bring to Hinge applicable cutting-edge research, technologies, and best practices in the ML/AI space., • Mentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scale., • Ensure the ethical and responsible use of ML/AI and compliance with privacy regulations to protect user data, • Communicate effectively to audiences of various technical and non-technical backgroundsWhat We're Looking For:, • Strong programming skills: Proficiency in Python and ML libraries such as PyTorch, • Domain expertise: Deep understanding of machine learning, deep learning, and emerging AI technologies. Proven track record of building, debugging, and fine-tuning machine learning for user facing products. Experience with causal inference, uplift modeling, and interventional data collection is a plus., • System design & architecture: Strong background in setting up and optimizing ML infrastructure, including containerization (Docker), orchestration (Kubernetes), and CI/CD workflows for ML (e.g., model versioning, automated testing)., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow, or Weights & Biases is a plus., • Data engineering knowledge: Skills in handling and managing large datasets including data cleaning, preprocessing, and storage. Good understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.., • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 5+ years of experience, depending on education, as an MLE, with at least 2 years in a senior or staff-level role, • Previous experience in User Growth or Monetization, • 3+ years of experience designing and developing end-to-end, production grade ML systems, • 4+ years of experience working in a cloud environment such as GCP, AWS, Azure, • 3+ years of experience leading projects with at least 1 other team member through completion. #Hinge

Job DescriptionOXMAN OXMAN is a hybrid Design and R&D company that fuses design, technology, and biology to invent multi-scale products and environments. The fusion of disciplines within our work opens previously impossible opportunities within each domain—allowing design to inspire science and science to inspire design. At OXMAN, we question dominant modes of design that have divorced us from Nature by prioritizing humanity above all else (human-centric design). Although it is design that has caused this rift, we believe that design also offers the greatest opportunity to heal it. We propose a Nature-centric approach that delivers design solutions by, for, and with the natural world, while advancing humanity. In this pursuit, we reject all forms of segregation and instead call for a radical synergy between human-made and Nature-grown environments. This approach demands that we design across scales for systems-level impact. We consider every designed construct a whole system of heterogeneous and complex interrelations—not isolated objects—that are intrinsically connected to their environments. In doing so, we open ourselves up to moving beyond mere maintenance toward the advancement of Nature. Summary OXMAN is seeking a Research Engineer with expertise in Deep Reinforcement Learning, Deep Generative Modeling, and Data-Driven Design Optimization to join our interdisciplinary team. Leveraging advanced computational techniques, you will develop innovative design methods that support and enhance ecological processes, bridging human-made and natural environments.In this role, you will explore the intersection of generative design methods and data-driven optimization strategies. Your primary objective will be creating approaches that integrate generative design, ecosystem simulation, and optimization techniques to enhance ecosystem services benefiting both humans and natural biodiversity. You will develop and test generative models and procedural techniques for designing environments, behaviors, and scenarios. These designs will be evaluated and refined through data-driven optimization and reinforcement learning methods, aiming to maximize positive ecological outcomes, such as biodiversity and resilience. Please provide cover letter and portfolio if available. Responsibilities • Develop and refine advanced deep generative models and reinforcement learning algorithms to generate, explore, and optimize built-environment design strategies aimed at enhancing ecosystem services., • Create decision-making frameworks that combine procedural generation with machine learning and data-driven optimization, improving interactions between built and natural environments., • Investigate and implement interfaces between procedural generation techniques, machine learning approaches, and deep generative modeling., • Collaborate with computational ecologists to integrate generative design frameworks with ecosystem simulation models, producing architectural and infrastructural designs that interact positively with natural environments., • Apply optimization and reinforcement learning techniques to align generative design outputs with ecological performance indicators, such as species richness, carbon sequestration, and water management., • Collaborate with data scientists and ecologists to incorporate extensive, diverse datasets (remote sensing, climate data, biodiversity records) into generative and optimization methodologies., • Contribute to model validation by comparing simulated results to empirical ecological data, ensuring accuracy and reliability., • Prepare detailed technical documentation of methods, assumptions, and implementations to support reproducibility and knowledge sharing.Qualifications, • Ph.D. or equivalent experience in Computer Science, Machine Learning, Operations Research, or related fields., • Proven experience developing and deploying deep generative models, reinforcement learning algorithms, and data-driven optimization methods in practical design problems., • Strong knowledge in mathematical modeling, probabilistic methods, simulation techniques, procedural modeling, and complex systems., • Proficiency in handling and analyzing large, heterogeneous datasets (environmental, climate, remote sensing) using Python, C++, or similar languages., • Experience with GIS tools and remote sensing technologies for geospatial analysis., • Demonstrated ability to work in cross-functional teams, bridging machine learning research with ecology, architecture, engineering, and design., • Enthusiasm for pushing boundaries in design and science; ability to merge rigorous computational methods with innovative thinking.

Job DescriptionSalary: $52 hourly Position: Data Engineer Location:New York City(Hybrid 3x in office) Employment Type:Contract-to-hire Contract Duration: 6months-1year The data engineer is responsible for designing, building, and maintaining the systems and infrastructure needed for data storage, processing, and analysis. The data engineerwill work with a multidisciplinary Agile team to build high-quality data pipelines, generate insights from connected data, and advance the company's data-driven decision-makingcapabilities. Responsibilities: Designs, develops, optimizes, and maintains data architectureand pipelines that adhere to ELT principles and business goals. Solves complex data problems to delivers insights that helpsbusiness achieve its goals. Creates data products for engineer, analyst, and data scientistteam members to accelerate their productivity. Engineer effective features for modelling in close collaborationwith data scientists and businesses. Leads the evaluation, implementation and deployment ofemerging tools and process for analytics data engineering inorder to improve productivity as a team and quality. Partners with machine learning engineers, BI, and solutionsarchitects to develop technical architectures for strategicenterprise projects and initiatives. Fosters a culture of sharing, re-use, design for scale stability,and operational efficiency of data and analytical solutions. Advises, consults, mentors, and coach other data and analyticprofessionals on data standards and practices. Develops and delivers communication and education plans onanalytic data engineering capabilities, standards, andprocesses. Learns about machine learning, data science, computer vision,artificial intelligence, statistics, and/or applied mathematics asnecessary to carry out role effectively. Key Skills: • Experience in building data pipelines and deploying/maintaining them following modern DE best practices -target tech stack: Python OSS Data Ecosystem (PySpark, pandas, Dash); knowledge of SQL, DBT is a plus, • Heavy experience with Azure Data Factory is a must., • Basic familiarity with BI tools (e.g., Alteryx, Tableau, Power BI, Looker), • Experience working in data engineering or data architect role Qualifications &Technical Skills • Bachelors degree in computer science, statistics, engineering, or a related field, • 3+ years experience as a Data Engineer, preferably in a large organization Interpersonal Mindset & Behaviors • Focused on agile delivery with a fail-fast, succeed early mindset and measurable outcomes, • Flexibility to changes in work direction as the project develops according to highest-priority business needs, • Strong work ethic; ability to work at an abstract level and gain consensus, • Exemplary organizational skills with attention to detail, access, and quality assurance, • Excellent communication and listening skills, collaborating closely with multidisciplinary team members, • Have a can do attitude and thrive on a test and learn mentality

Job Description Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We are looking for AI Infrastructure engineer to help build and scale the infrastructure that powers our machine learning initiatives. In this role, you will design, develop, and optimize the core platforms and services that enable data scientists and ML engineers to train, deploy, and monitor models efficiently. You'll partner closely with Data Science, Data Engineering, and Product teams to create a robust, self-service ML ecosystem that accelerates innovation. What You'll Do Build & Scale AI Infrastructure: Design, implement, and maintain high-performance ML training and inference platforms. Develop MLOps Tools: Ship tools that allow any ML engineer to deploy a model in minutes, not days. Optimize Performance: Improve scalability, reliability, and cost efficiency of model training and serving systems. Collaborate Across Teams: Partner with researchers to turn experimental voice models into production-ready systems. Ensure Best Practices: Establish standards for model versioning, testing, monitoring, and governance. Drive Automation: Automate data/model pipelines to reduce manual intervention and speed up experimentation. • Experience: 3+ years in Software Engineering or ML Platform/Infrastructure roles, with a focus on distributed systems, cloud services, or MLOps., • Technical Expertise: Proficiency in Python (or similar), containerization (Docker, Kubernetes), CI/CD pipelines, Kubernetes, Cloud proficiency, • Strong knowledge of cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (Terraform, CloudFormation)., • Experience with ML frameworks (TensorFlow, PyTorch, or similar) and orchestration tools (Kubeflow, Airflow, MLflow)., • Deep understanding of data pipelines, model deployment, real-time inference systems, and reliability of AI systems, • Strong communication skills and the ability to work across engineering and data science teams., • Experience with feature stores, vector databases, or large-scale model training., • Familiarity with streaming data technologies (Kafka, Spark Streaming, Flink)., • Knowledge of monitoring/observability tools (Prometheus, Grafana, Datadog)., • Contributions to open-source ML/MLOps projects., • GPU optimization (TensorRT, ONNX, vLLM, Triton), • Experience with low-latency audio/streaming systems, • A dynamic environment where your contributions shape the company and its products, • A team that values innovation, intuition, and drive, • Autonomy, fostering focus and creativity, • The opportunity to have a significant impact in a revolutionary industry, • Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture, • The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job DescriptionAbout Us We are on a mission to bridge the gap between enterprise business knowledge and data, democratizing data discovery and curation to prepare organizations for the era of generative AI. Today's data tools are overly complex, poorly integrated, and siloed, forcing AI Practitioners and data scientists alike to spend more time wrestling with tools, relying on tribal knowledge, and navigating data lakes rather than doing meaningful data science work. The current landscape of data tools and processes is heavily manual and needs to catch up with the vast amount of data generated daily. With the advent of Gen AI and multi-modality, this challenge has only grown more complex and broken. Backed by top VC funds, we are committed to making enterprise data AI-ready faster, more reliably, and with a stronger foundation of factual semantic knowledge. This leads to more accurate models, superior outcomes, and better business results. Our team of seasoned data infrastructure and machine learning experts (from LinkedIn, Visa, Truera, Hive, and Branch) has spent the past two decades building bespoke systems to solve these very challenges. Join our growing team of ML research and data infrastructure experts. We're committed to empowering AI and data scientists to seamlessly integrate semantic learning with generative AI. Be part of our journey to shape the future of enterprise AI. About the Job We’re looking for a Forward-Deployed Engineer to join our founding team and bring our AI-native data infrastructure to life in real-world environments. This is a hybrid role blending infrastructure, product, and delivery—you’ll work across systems, tools, and teams to bring new deployments from concept to scale. Think of it as a "jack-of-all-systems" role: one foot in Kubernetes and Ray clusters, the other in semantic pipelines and user-facing use cases. You’ll be a first responder, architect, and operator—deploying zaimler’s semantic infrastructure into dynamic enterprise settings, collaborating closely with ML and infra engineers, and making sure customers get value from day one. This role prefers candidates in or aligned to the Eastern Time Zone (EST) & will require travel onsite to customer locations. What You Will Be Doing • Build, deploy, and scale zaimler’s platform in diverse customer environments (Kubernetes-native, often hybrid cloud), • Own the infrastructure stack: provisioning, scaling, monitoring, and incident handling for data/ML pipelines., • Stand up and optimize distributed compute systems using Ray, Kubernetes, and supporting cloud services., • Bridge ML and infra—help ML engineers productionize knowledge extraction, entity linking, and retrieval pipelines, • Write Terraform, Helm charts, Dockerfiles, and bash scripts that others rely on, • Contribute to internal tooling, automation, and observability to make zaimler repeatable and scalable., • Interface directly with early customers to understand their environment, workflows, and edge cases.Prior Experience, • 3+ years of experience in backend or infrastructure roles (infra/platform, SRE, or devops welcome), • Deep familiarity with Kubernetes, Docker, Terraform, and Helm, • Experience managing or deploying distributed compute frameworks (Ray, Dask, Spark, etc.), • Fluency in at least one scripting language (Python, Bash, Go preferred), • Strong debugging skills across the stack—from network hiccups to memory leaks, • Experience deploying in cloud-native environments (AWS/GCP/Azure), • Comfortable being customer-facing and managing ambiguity in real-time, • Strong sense of ownership and bias toward action in early-stage environmentsNice to Haves, • Experience deploying or integrating LLMs or vector databases, • Background in ML Ops or building/operating data infrastructure at scale, • Familiarity with GPU optimization, multi-tenancy, or air-gapped environments, • Prior startup or zero-to-one deployment experience, • Familiar with Ray Serve, VLLM, or similar frameworks

Job Description Pickle is a rental marketplace. We seek to make fashion more affordable, sustainable, and accessible by enabling people to rent clothes directly from one another right in their city. Our unique peer-to-peer model allows Pickle to have the most in-demand fashion out there. And our same-day local courier delivery not only allows our users to find a last minute outfit when they’re “in a Pickle”, but also helps people get access to items at ~80% off the original retail! Check out our app here and our Instagram here! We're seeking a highly technical, high-ownership, and results-driven Senior Fullstack Engineer to help build Pickle. This role will be pivotal in building features and improving performance in the applications that our customers rely on every day. If you’re passionate about building beautiful and highly performant applications, and love working in fast-paced startup environments, this is a great opportunity to have a significant impact on our business. Responsibilities • Build and maintain backend services and APIs (REST, GraphQL) using frameworks like Express, Fastify, and Apollo., • Manage and optimize databases (Postgres, DynamoDB) and in-memory stores (Redis, Memcached), including schema design, indexing, replication, and query optimization., • Drive improvements in system architecture, including event-driven design, asynchronous workflows, and messaging/pub-sub systems., • Design, deploy, and maintain services on AWS (Lambda, Fargate/EC2, S3, RDS/DynamoDB, SQS/SNS, CloudFront, Cognito)., • Debug and refactor legacy systems to improve scalability, performance, and reliability., • Implement and manage observability (logging, monitoring, alerting)., • 5+ years of professional experience building backend services., • Proficiency in TypeScript and/or Python., • Strong experience with SQL/NoSQL databases and in-memory caching., • Deep understanding of system design, including event-driven architectures, messaging queues, and scalable service patterns., • Familiarity with technologies like Kafka, RabbitMQ, AWS SQS/SNS, Redis Streams, or similar., • Experience with microservices and asynchronous workflows., • Knowledge of security best practices, including authentication and authorization., • Experience with observability, infrastructure as code (Terraform preferred), and CI/CD automation., • Strong communication skills and a collaborative mindset. Nice to have • Experience with search technologies (Elasticsearch, OpenSearch) and managing their associated infrastructure., • Experience integrating modern AI and machine learning techniques into production applications., • Competitive compensation and equity, • Healthcare (Medical, Dental, Vision), • Take what you need paid time off, • Meal Pal credits to cover the cost of lunch, • Stipend to help set up your desk and office environment, • Work directly with the founders and executive team, • Professional coaching, training, and development, • Grow with the company, • Pickle credits for our employees, we love when the team uses Pickle!, • Fun team events and company parties, • Company offsites, • Office space in NYC

Job DescriptionDoran Jones is looking for a hands-on Lead QA Automation Engineer to play a strong leadership role, owning automated testing across our web products and setting the QA vision for future releases. You will architect, design, build, and run comprehensive test suites, integrate them into our CI/CD toolchain, and drive quality from planning through release in a fast-paced Agile team. Responsibilities • Define and evangelize the full-stack test strategy for functional, security, integration, regression, performance, and smoke tests., • Own the QA roadmap and communicate progress to engineering leadership., • Lead and mentor QA Engineers—document standards. Champion a quality-first culture., • Manage test data and environments. Set development standards for testability., • Build and maintain comprehensive automation. Develop UI + API tests in Playwright/TypeScript. Extend existing Selenium/Python suites when needed., • Integrate with CI/CD toolchain. Embed tests in GitHub Actions / Jenkins for quick and reliable releases., • Analyze and report defects. Log, track, and verify fixes in Jira. Provide clear, actionable feedback., • Influence Agile ceremonies (planning, stand‑ups, retro, grooming) with Dev, Product, and DevOps., • Continuously improve frameworks. Apply Page Object Model (POM) and other coding best practices., • Continuously evaluate our testing tools and benchmark them against industry best practices to ensure optimal performance. Recommend and adopt upgrades to keep the automation stack modern and efficient., • Supervise quality gates. Monitor static code analysis, vulnerability scans, and performance metrics to ensure optimal system functionality., • Establish metrics and processes, track quality KPIs, and champion process improvements to drive continuous improvement., • Attend/complete assigned information security training by the designated completion date., • Complete required information security training within assigned deadlines., • Follow ISMS security policies and procedures., • Report any observed security violations or risks promptly to leadership or the IT department.Required Experience, • 7+ years in software QA, with 3+ years focused on Playwright/TypeScript automation., • Strong coding proficiency in JavaScript/TypeScript with practical experience testing modern web applications., • Experience with CI/CD pipelines, Git, and API testing frameworks (Postman, REST-assured, Playwright API)., • Exposure to performance testing tools and methodologies., • Working knowledge of SonarQube, Veracode, and defect tracking with Jira., • Skilled in test data management, environment setup, and debugging distributed systems., • Familiarity with Microsoft D365 is a plus.

Job DescriptionCompany Description Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights. With decades-long expertise in the financial services industry and a relentless focus on the future, Curinos technology and analytics ecosystem allows clients to anticipate customer needs and optimize their go-to market decisions in an increasingly competitive market. We operate in a hybrid/remote model, and this position is fully remote in the United States or hybrid in the Greater New York, Chicago, or Boston metropolitan areas. Job Description We are looking for a Senior Machine Learning Engineer to support our Databricks-native (i.e., Databricks Workflows, Delta Live Tables, Databricks Asset Bundles, Unity Catalog, etc.) machine learning and AI platform. In this role you will operationalize production-grade machine learning and AI models, manage deployments, and ensure robust monitoring and governance. In addition to solid technical skills, this role requires strong communication across functions, including data scientists, data engineers, and product managers; ability to drive clarity from requirements; and active participation and sense of ownership of end-to-end design, implementation, and testing of complex ML and AI workflows in a collaborative team environment. Responsibilities: * Manage and support ML and AI model lifecycle using Databricks and MLflow: training, tracking, packaging, deployment, monitoring, agentic AI safety and generative AI guardrails. * Automate and optimize model deployment pipelines for batch and real-time use cases. * Collaborate with data scientists to productionize models, ensuring scalability, reproducibility, and reliability. * Implement CI/CD pipelines for ML and AI workflows, including testing, version control, and rollback strategies. * Monitor deployed models for performance drift, data quality, and SLA adherence. * Support governance and compliance requirements: model registry usage, auditability, reproducibility). * Troubleshoot and resolve issues related to model training, deployment, and integration with downstream systems. * Provide operational support for Databricks Workflows, Jobs, and Delta Lake integration. * Document processes, automation frameworks, and operational runbooks. * Bring best practices to bear on the team’s products and educate the team members. Salary Range: $110,000 to $140,000 (plus bonus) Qualifications Desired Skills & Expertise: * Strong hands-on experience with Databricks (Workflows, Delta Lake, MLflow). * Proficiency with MLflow for experiment tracking, model registry, and deployments. * Experience deploying models to Databricks Model Serving, REST APIs, or external endpoints. * Familiarity with Python, Spark, and SQL for data and ML workflows. * Solid understanding of CI/CD tools (e.g., Databricks Asset Bundles, Jenkins, etc.). * Competency with shell scripting in a Linux environment nice to have * Exposure to contemporary big data and AI stacks and technologies. Typical examples include things such as Yarn, AWS, Spark, Databricks, distributed computing, chatGPT, Claude, Copilot. but this is not an exclusive list. Our platform of choice is Databricks. * Some experience with real-time processing nice to have * Solid understanding of data structures and algorithms * Some experience with production support * Experience with 3rd party marketing clouds (such as Salesforce) nice to have * Self–discipline and willingness to learn * Solid verbal and written communication skills * Team player and ability to work well with others in an intellectually challenging environment. Additional Information Why work at Curinos? • Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from, • Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!, • Competitive annual leave, floating holidays, volunteering days and a day off for your birthday!, • Learning and development tools to assist with your career development, • Work with industry leading Subject Matter Experts and specialist products, • Regular social events and networking opportunities, • Collaborative, supportive culture, including an active DE&I program We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need! If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at and we’ll do everything we can to help. Inclusivity at Curinos: We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.

Job Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are one of the highest-rated employers on Glassdoor. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you. • Mentorship and solution support to client-facing Data Engineers across key accounts, • Review data engineer work and proactively establish the adoption of best practices and frameworks that improve productivity and client satisfaction, • Work with the DevOps, MLE team to onboard and productionize Data Science models at scale., • Implement and manage production management processes around data ingestion, transformation, coding utilities, storage, reporting, and other data integration points., • Coordinate between onsite and offshore leadership for regular updates, • Engage key client stakeholders to, • Review and provide the best solutions on the existing or new architecture requirements., • Recommend strategies to improve resiliency, security, and optimize costs., • Analyse, architect, design, and actively develop analytics frameworks, data lakes, and other cloud-based data solutions., • Bachelor’s degree in Computer Science/or any relevant experience in Information systems., • 10 years of experience in the IT field with hands-on experience in system administration and automation, • 3-5 years of strong hands-on experience with AWS(or another cloud) in building a Data and Analytics platform on the cloud., • 1+ years of experience with deploying services on Kubernetes on-prem or on-cloud, • 3-5 years of strong hands-on expertise on Cloud (AWS/Azure/GCP) with strong experience in working with modern data and analytics frameworks, big data, and DevOps techniques, and is proficient with programming languages (like Python, Java, Scala)., • 1-2 yrs experience with Cloud data warehouse (Redshift, Snowflake, BigQuery), • Solid understanding of building Data Lakes on Cloud environments - Data Integration, Data Pipeline, Data compute, ML Models and Storage, etc., • Solid knowledge of and experience with Big data and Stream processing frameworks - Spark, Flink, or other, • Knowledge of delta lake or similar technology, • Exposure to operationalizing ML models @ scale on Cloud, • Solid understanding of DevSecOps and cloud security concepts and how to mitigate security risks in the cloud, • Must understand the Scrum Agile methodology and have worked on a Scrum team., • Knowledge of SQL, non-relational (NoSQL) databases, and Object Stores, • Good experience working on an onsite/offshore model, • Knowledge of networking, firewalls, load balancers, etc., • AWS Professional Architect Certification is preferred Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Job Description About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We partner directly with: AI-first startups building products powered by LLMs, generative AI, intelligent automations, Established tech companies: scaling their ML infrastructure, recommendation systems, and data platforms, and Enterprise innovation teams integrating AI into traditional domains such as finance, healthcare, and logistics. We collaborate directly with founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Our Client Is reimagining how knowledge is shared. Theyre building a new medium for human connection: interactive digital minds that people can talk to, learn from, and be guided by. The internet gave us static profiles and infinite feeds, they create something profoundly different: living, interactive identities that carry your voice, judgment, and worldview into every conversation. People dont just read about you, they experience how you think. Their mission is bold and generational in scope: * Make human wisdom abundant, personalized, and discoverable. * Preserve legacies, unlock opportunity, and scale brilliance across generations. Trusted by thousands of the worlds most brilliant thinkers from Simon Sinek to Arnold Schwarzenegger and have tripled revenue, users, and mind interactions in the past six months, all organically. Backed by Sequoia Capital, Founders Fund, Lux Capital, and visionary angels including Michael Ovitz, Gokul Rajaram, and Olivia Wilde, theyre now scaling rapidly toward the next frontier of AI-driven human expression. Location:Jackson Square, San Francisco Work type: Fully on-site, 5 days a week Compensation: Above-market base + equity + benefits Visa: Sponsorship available only for candidates already in the United States The Role As an Applied AI Engineer, youll help architect the foundation of next-generation Mind Architecture, the system that powers how digital minds learn, reason, and express individuality. Unlike traditional RAG systems that treat data as a static collection of documents, we build rich, hierarchical knowledge graphs that mirror how real experts think capturing not just facts, but relationships, reasoning styles, and conceptual depth. Youll work at the intersection of graph systems, LLM reasoning, and scalable AI infrastructure, bringing together symbolic structure and neural intelligence to redefine how knowledge lives digitally. What Youll Do Knowledge Graph & Mind Architecture * Design and evolve the graph-based architecture that models a minds reasoning, associations, and conceptual hierarchies. * Develop novel embeddings and contextual retrieval methods that make each mind distinct not just accurate, but alive. RAG & Context Innovation * Build next-generation retrieval-augmented generation systems that integrate structured graph reasoning with neural retrieval. * Implement and refine LLM evaluation frameworks to ensure each mind improves over time in quality, consistency, and individuality. Applied AI & Performance * Push the performance of frontier LLMs through advanced prompt engineering, dynamic context shaping, and evaluation-driven iteration. * Architect efficient, low-latency inference pipelines for thousands of simultaneous mind interactions. Systems & Product Integration * Bridge ML systems and product engineering shipping AI-powered features that shape user experience directly. * Translate abstract research ideas into robust, scalable production systems powering thousands of live digital minds. Evals & Personalization * Define success metrics for mind quality advancing tone, style transfer, and reasoning fidelity. * Build systems that continuously refine a digital minds authenticity and expressiveness. What You Bring Core Expertise * 4-6+ years of experience in AI or ML engineering, with at least 12 years hands-on with LLMs in production. * Proven track record of building and deploying ML-powered systems that directly impact end-user experience. * Strong Python expertise, including asynchronous programming, event loop optimization, and performance tuning. * Experience with retrieval-augmented generation (RAG), context engineering, and LLM eval frameworks. * Deep practical understanding of how LLMs reason, how to structure inputs, and how to measure improvement. Preferred / Bonus * Experience with graph databases or graph-based retrieval (Neo4j, ArangoDB, or custom-built graph layers). * Background in document understanding, embeddings, or multimodal context assembly. * Familiarity with AWS, distributed systems, and scalable backend architecture. * Hands-on experience fine-tuning LLMs or building adapters for tone/style adaptation. You are a great fit if, * You thrive on hard problems and are motivated by impact over title. * Youre comfortable building at the intersection of research, product, and systems engineering. * You have an engineers rigor, a creators imagination, and a philosophers curiosity. Benefits * Unlimited Learning Stipend: books, courses, or conferences of your choice. * Comprehensive Health, Dental, and Vision coverage. * 401(k) via Human Interest. * Relocation assistance to San Francisco (if applicable). * A creative, high-agency culture that celebrates curiosity and deep thinking. Other roles in Applied AI / ML in the US, check them out here: * Applied AI / ML engineer focusing on LLMs, and Document processing: [

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. As a Mechanical Engineer at Radical AI you will design and build a suite of novel robotic and autonomous systems to drive a first of its kind material science research and discovery laboratory. Our Mechanical Engineering team owns all aspects of the physical manifestation of our technology. You will help define design requirements from a greenfield solution space and then execute on 3D design, prototyping, validating, and installing mechanical systems within our lab. You will solve a vast array of interconnected problems involving material handling, precision motion control, and refitting state of the art laboratory and metallurgical equipment for automation and programmatic control. You will take ownership of individual projects and subsystems and bring them to completion using your knowledge of rapid prototyping and low volume manufacturing techniques. Your hardware will fit in seamlessly with the Radical AI branding language and smoothly interface with peripheral systems and equipment. You’ll leverage your experience and expertise to become an indispensable contributor to collaborative engineering initiatives.Mission • Contribute to and actualize the vision of the Mechanical Engineering team as we tackle solving complex and interconnected material handling challenges, and innovate novel solutions to automating the operation of existing equipment and systems., • Use your 2D and 3D visualization skills to communicate complex ideas, designs, and geometries in group ideation sessions that include a non-technical audience., • Design complex systems and assemblies in CAD to demonstrate viable solutions to automation challenges., • Rapid prototype to prove design efficacy, then facilitate part fabrication from outside vendors to build your system and integrate it with software and controls., • Help shape the culture of the hardware team by leading from the front and demonstrating a disciplined sense of organization, eye for detail, and an impeccable level of polish and craftsmanship., • Bring an attitude of collaboration and openmindedness, to facilitate fearless and creative problem solving that empowers our team to ship world class technology at an unprecedented speed.About you, • Minimum B.S. in Mechanical Engineering or a closely related field., • 3-5 years industry experience in mechanical engineering involving part and assembly design., • Proficiency with CAD software, we use SOLIDWORKS., • Well versed in common rapid prototyping and part fabrication techniques and DFM best practices., • CNC part design, sheet metal part design, 3D printing, metal casting, etc., • Proven track record of delivering novel mechanism and machine designs. Excellent hands on fabrication and assembly skills., • Excellent communication and interpersonal skills.Pluses, • Experience in industrial automation settings and design of automation equipment., • Familiarity with 6 DOF arms cobots, and their implementation., • Experience with PLCs, motor drivers, and motion control systems. Experience with simulation and analysis tools like FEA or CFD., • Experience or exposure to the design and utilization of material handling systems., • AMRs, ASRS, conveyance systems, etc.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description At TWG Group Holdings, LLC (“TWG Global”), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role: As a Principal Machine Learning Engineer, you will be embedded in our Data Science team and play a critical role in accelerating the delivery of AI solutions. Reporting to the Head of the UK AI & Data Science team, you will work alongside Data Scientists to take prototypes and translate them into reliable, production-ready services for business stakeholders. This is a hands-on technical leadership role: you will set direction, architect solutions, and mentor peers. The remit is squarely focused on last-mile delivery — taking prototypes built by Data Scientists and making them usable in real business settings by packaging them into services or APIs, wiring them into data sources, building lightweight feature and inference pipelines, and adding basic monitoring and retraining logic. You will accelerate pilot deployments so stakeholders can see value quickly, and then hand the solution off to the Central Engineering and Data team, who are responsible for firm-wide platforms, scaling, and long-term support. The ideal candidate will also bring applied data science skills and be comfortable moving between ML engineering and data science work. You should be able to contribute to model development and analysis when needed, in addition to owning deployment and operationalization. Responsibilities: • Translate data science prototypes into production-ready pilot ML services tailored to business use cases., • Build lightweight pipelines (feature engineering, model packaging, inference services) that integrate smoothly with central platforms while meeting immediate delivery needs., • Champion pragmatic MLOps practices (CI/CD for ML, monitoring, observability) to improve reliability without duplicating central engineering’s enterprise frameworks., • Partner closely with Data Scientists to operationalize models, and collaborate with central engineering to plan handoffs of successful pilots for hardening and scale., • Apply emerging ML engineering techniques (LLM deployment, RAG, vector databases) to accelerate delivery of applied projects., • Develop reusable components and lessons learned that central teams can adopt into firm-wide platforms., • Ensure ML workflows comply with governance, audit, and regulatory requirements., • Collaborate with central Engineering, Data, Product, and Security teams to ensure alignment with firm-wide platforms and standards., • Provide technical mentorship to ML engineers, raising the bar for applied delivery and model deployment., • 8+ years of experience designing, building, and deploying ML systems in production., • Proven track record of leading ML engineering projects from prototype to production delivery., • Deep expertise in modern ML frameworks (TensorFlow, PyTorch, JAX, Ray, MLflow, Kubeflow)., • Proficiency in Python and at least one backend language (e.g., Java, Scala, Go, C++)., • Strong knowledge of cloud ML infrastructure (AWS SageMaker, GCP Vertex AI, Azure ML) and containerized deployments (Kubernetes, Docker)., • Hands-on experience with ML pipelines, distributed training, and inference scaling., • Familiarity with monitoring stacks (Prometheus, Grafana, ELK, Datadog)., • Experience in regulated industries (finance, insurance, healthcare) with compliance and governance needs., • Strong communication and collaboration skills, with the ability to mentor others and influence technical direction., • Working knowledge of data science techniques (e.g., supervised/unsupervised ML, model evaluation, causal inference, feature engineering)., • Experience integrating with Palantir platforms (Foundry, AIP, Ontology) as a user/consumer., • Practical exposure to LLM and GenAI delivery (fine-tuning, RAG, vector search, inference)., • Experience optimizing GPU clusters or distributed training workloads. This is a hybrid position based in New York, NY or Santa Monica, CA. Fully remote candidates will not be considered. We offer a competitive base pay + a discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role As the Staff Data Scientist (VP) on the AI Science team, you will be responsible for designing and leading high-impact data science initiatives that drive business value across the enterprise. Reporting to the Executive Director of AI Science, you will play a critical role in shaping data-driven strategy, developing advanced statistical and machine learning models, and delivering insights that inform decision-making, optimize operations, and uncover new growth opportunities. You will act as both a technical thought leader and a strategic partner, fostering a culture of rigorous experimentation, reproducibility, and responsible AI adoption while mentoring the next generation of data scientists. Key Responsibilities: • Lead the design and execution of data science projects that solve complex business problems across critical workflows., • Develop and apply advanced AI/ML methods including statistical modeling, causal inference, forecasting, optimization, and machine learning., • Partner with stakeholders to translate business challenges into analytical frameworks, ensuring results are actionable and aligned with strategic priorities., • Drive the adoption of emerging analytical techniques and tools (e.g., generative AI, LLM-based analytics, simulation modeling, RAG for knowledge discovery)., • Collaborate with ML engineers to scale prototypes into production-ready systems, ensuring reliability, fairness, and generalizability., • Design and maintain metrics and experiments (A/B testing, uplift modeling, KPI design) to measure model and business impact., • Communicate findings through compelling data storytelling, dashboards, and executive-level presentations., • Provide thought leadership in responsible AI practices, ensuring transparency, fairness, and compliance with internal governance and external regulations. Qualifications: • 8+ years of experience in data science or applied statistics roles, with a proven track record of driving measurable business impact., • Expertise in one or more of supervised and unsupervised machine learning, deep learning, time series analysis, causal inference, and statistical modeling., • Experience leading end-to-end data science projects from ideation to delivery, including business scoping and stakeholder management., • Strong proficiency in Python (or R), with deep experience using modern data science libraries (e.g., Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Statsmodels)., • Solid foundation in SQL and data wrangling across large, complex datasets., • Hands-on experience with experimentation platforms, data visualization, and dashboarding tools (e.g., Tableau, Power BI, Plotly)., • Familiarity with cloud-based data platforms (AWS, GCP, Azure) and collaborative tools (Databricks, Snowflake) is a plus., • Exceptional ability to translate technical results into clear, actionable insights for senior executives and non-technical audiences., • Master's or PhD in Statistics, Data Science, Computer Science, Economics, or a closely related discipline. Preferred Qualifications: • Experience working with Palantir platforms (Foundry, AIP, Ontology) to develop, analyze, and operationalize data-driven insights within enterprise-scale environments., • PhD in Data Science, Statistics, Computer Science, or a related quantitative discipline. Publications in top-tier AI/ML or data science conferences or journals (e.g., NeurIPS, ICML, KDD, AAAI, ACL, JASA)., • Recognized contributions to the open-source data science / ML ecosystem (e.g., libraries, frameworks, toolkits, widely adopted notebooks)., • Track record of thought leadership through invited talks, keynote presentations, or leadership roles in professional societies, conferences, or meetups., • Experience mentoring teams at scale and establishing standards for reproducibility, experimentation, and responsible AI., • Familiarity with vector databases, knowledge graphs, and LLM application frameworks for advanced analytics. This is an onsite position, with flexibility, based in our New York City office. We offer a competitive base pay + a discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. As a Mechatronics Engineer at Radical AI you will serve as the bridge between Mechanical Engineering and Software to operationalize a suite of novel robotic and autonomous systems to drive a first of its kind material science research and discovery laboratory. You will help ideate scalable designs for driving and automating state of the art lab equipment in part by specifying motors, motor drivers, actuators, encoders, sensors, and control systems. You will drive the integration of electromechanical systems and the foundational power and control systems, equipment, and hardware to operate our equipment safely and reliably. Your experience and vision will shape both the physical and systematic implementation of a lab-wide autonomous integrated control scheme. You will collaborate closely with Mechanical Engineering and Software to meet rigorous and sometimes dynamic design requirements at a profound deployment speed. You will maintain and optimize control system performance to meet throughput and reliability metrics that are critical to the success of the technology. Mission • Contribute to and actualize the vision of the Mechanical Engineering team as we tackle solving complex and interconnected material handling challenges, and innovate novel solutions to automating the operation of existing equipment and systems., • Leverage your industry experience to instill team-wide adoption and utilization of ‘right tool for the job’ off-shelf solutions to accelerate the deployment of control, power, safety, and sensing systems., • Execute on the design and implementation of precision motion control systems and associated sensors and encoders., • Design and assemble the power and control cabinets to drive our systems with a focus on design flexibility and industry standard best practices for safety systems to protect our people and our technology., • Swiftly debug and trouble shoot electromechanical systems to maximize facility and equipment uptime. Help shape the culture of the hardware team by leading from the front and demonstrating a disciplined sense of organization, eye for detail, and an impeccable level of polish and craftsmanship., • Bring an attitude of collaboration and openmindedness, to facilitate fearless and creative problem solving that empowers our team to ship world class technology at an unprecedented speed.About you, • Minimum B.S. in Electrical, Mechanical, or Mechatronics Engineering or a closely related field., • 3-5 years industry experience in robotics, industrial automation, or a closely related field., • A strong fundamental understanding of electrical engineering and industry best practices., • Competency with CAD software, we use SOLIDWORKS., • Experience with PLCs, motor drivers, and industrial automation., • Knowledge of control systems, embedded systems, and automation technologies., • Excellent communication and interpersonal skills.Pluses, • Familiarity with programming languages like Python., • Familiarity with 6 DOF arms cobots, and their implementation., • Hands on experience with rapid prototyping and machine fabrication techniques., • Experience or exposure to the design and utilization of material handling systems (AMRs, ASRS, conveyance systems, etc)What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description We're a fast-growing tech scale-up with $36M in funding, revolutionizing the modern internet with cutting-edge solutions that drive mass-adoption. We already work with major brands such as Uber, Amazon, North Face, Temu, Lego, BMW, North Face and 100's more. Our secret? Removing all blockchain and crypto complexities that are barriers to creating user-friendly applications solving real-world use-cases. Our investors include Multicoin, Circle Ventures, Animoca, Valor, Alliance DAO, and more. With a community of over 1M followers across all socials and a CEO who has been featured on the NYSE and NASDAQ, we believe we are only at the beginning of making XION a global brand. We are looking for a high-functioning psychopath to help bring the next wave of hybrid web2/3 applications. You will be joining a team of top-tier self-selected sado-masochists, who work here because they can't really work anywhere else. We value rapid communication and direct feedback, both internal and external. Breakneck pace shipping, autonomy and ownership, and constant experimentation are table stakes. Apologies in advance. What Sparks Your Enthusiasm • Shipping nonsense to billions of users, • That point of a futile debugging session where you start to question your sanity and everything becomes hilarious, • Finding interesting/troubling ways to solve engineering problems, • "Huh, that's weird", gives you a sense of giddy panic, • "It works on my machine", • "The user should be able to figure it out", • "That isn't my problem", • Typescript, • React, • Self-destructive tendencies, • CSS Frameworks (Tailwind, MUI, etc.), • Medically significant but non-terminal caffeine addiction, • Experience with Git/Github in a distributed team, • Experience integrating with REST/GraphQL/GRPC APIs, • Security Minded, • Comfort in a young, chaotic, rapidly evolving small team startup environment, • Cosm.js or Web3.js experience, general experience developing with crypto focused javascript libraries., • Experience with NPM release best practices, • Experience working with and configuring bundlers (Webpack, Vite, etc.), • Experience with browser and mobile data storage, ie LocalStorage, SQLite, • Performance conscious development, as the majority of the global user base is on mobile phones Actual: • Desperate banging on keyboard, • Ripping hair out over encoding errors, • Not learning from previous mistakes about encoding errors, • Design Implementation: Work closely with the design team to bring concepts to life, using provided designs as a foundation while exercising autonomy in execution., • Feature Development: Take ownership of features from planning to release, including scoping, task management, and prioritization., • Documentation Analysis: Research and review available documentation to guide development, navigating and interpreting scarce or ambiguous resources., • Testing and Debugging: Conduct thorough testing and extensive debugging to ensure high-quality deliverables, iterating through multiple cycles as needed., • Collaboration: Engage with the protocol team to facilitate smooth integration of features, providing technical guidance and feedback., • Take on new features or bug fixes, with full ownership, • Scoff at the lack of documentation in our field, • "Reverse engineer" protocol level … stuff… to integrate into client, • Debug, debug, debug, • Release and iterate

Job DescriptionVoleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more. Your Team As a Senior Network Engineer, you’ll architect, build, and evolve the connective fabric that powers every part of the firm. From routing and switching at the core to secure edge access and cloud connectivity, you’ll design, deploy, and maintain resilient infrastructure that scales with a fast-growing, research-driven organization. You’ll be a senior member of NetOps - an adaptable, high-trust team that partners daily with a dynamic team of software, research, and systems engineers to turn ambitious ideas into reliable, observable, and secure reality. Your impact will be obvious in uptime gained, latency reduced, incidents prevented, and the velocity you unlock for the business. This role is meant to make a difference; you will maintain the backbone of a rapidly growing technology enterprise.Responsibilities • Refine/Define topology of corporate and production network, • Build out highly available and scalable network infrastructure, • Utilize Automation/IAC tools to create reproducible and audited configurations, • Enhance network monitoring infrastructure, • Participate in an on-call rotation (after building context on our systems and operations)Requirements, • At least five years of professional networking experience with increasing responsibility and scope of work, • Strong background in enterprise switching (Juniper preferred) and high-speed networks supporting distributed storage solutions. Hands-on expertise with next-generation firewalls (Palo Alto, Fortinet, or equivalent), • Deep understanding of TCP/IP and networking protocols such as VLANs, MSTP, OSPF, BGP, LAG, mLAG, virtual chassis, IPSec, • Expertise in modern network security solutions (Zero Trust, SASE, IAM, NAC) to ensure seamless and secure integrations, • Proficiency in using automation tools for reproducible network configurations, • Hands-on experience with hardware setup, including racking, stacking, and cabling networking hardware, • Proficient with Linux OS, • Eagerness to collaborate with diverse teamsPreferred Qualifications, • Experience scripting with Python or other interpreted language, • Experience with Cloud networking, • Experience with Configuration Management and Source Control #LI-MB1 We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.