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Job DescriptionJoin the Sleep Fitness Movement At Eight Sleep, we’re on a mission to fuel human potential through optimal sleep. As the world’s first sleep fitness company, we’re redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME's “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don’t just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger. Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn’t passive - it’s a powerful tool for living better. If you’re tired of the ordinary and driven to build at the edge of what’s possible, this is your moment. Join us and lead the movement that’s transforming how the world sleeps and what we’re all capable of when we wake up. High Standards. No Apologies. We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world’s top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant’s mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn’t a 9-to-5. Our team is deeply committed, often putting in 60+ hours a week –not because we’re told to, but because we’re invested. We’re here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you’ll feel right at home. If you’re looking for something easier –this isn’t it. The Role Eight Sleep is looking for an experienced mobile Product Manager to join our growing Product team. The ideal candidate has shipped exceptional mobile products in high-growth start-ups, working closely with designers and engineers in fast-moving, squad-like teams. They are a power user of modern AI tools and leverage them daily to accelerate discovery, analysis, and execution. We want someone with deep product management roots, strong technical instincts, and a passion for health tech and wellness. In this role, you’ll collaborate with machine learning engineers, sleep science researchers, designers, and mobile engineers to build smart, AI-powered, autonomous experiences that help people achieve the best sleep biologically possible. You’ll balance a bold product vision with a sharp focus on user needs, ensuring every feature creates measurable impact for our members. As one of the early AI adopters in the sleep space, Eight Sleep is training models on the world’s largest sleep dataset to power groundbreaking features in our app - and expects every member of the product team to leverage AI tools daily to move faster and smarter. We prefer someone based out of our NYC HQ. What You'll Help Build * Partner with our product researchers to gather qualitative and quantitative customer research to deeply understand customer’s sleep needs and transform that into value-add user stories and product requirements * Work with complex data sets and to deliver seamless experiences around sleep and recovery * Write stories and sprint goals that clearly communicate key objectives. Develop, refine, prioritize and track implementation of requirements and new features * Conduct thorough QA on new app features, ensuring bug-free releases * Assess customer opportunities, prioritize initiatives, and make data and judgment driven trade-offs * Design and run A/B tests to learn about customer behavior, iterate, and optimize * Closely collaborate with and orchestrate efforts across functions and teams, including engineering, UX, analytics, research, and product marketing * Conceptualize, scope, define, and drive projects through the product life cycle * Communicate product details to senior management * Work cross-functionally with customer care and marketing teams to validate, launch, support, and monitor new features * Track and measure the success of each release, and feed those learnings back into the roadmap What You'll Need to Succeed * 3-5+ years of experience in mobile product management (experience with hardware IoT products a plus) * Proven track record shipping consumer-facing apps or services with high customer satisfaction * Experience working closely with designers, engineers, researchers, and product marketing * Demonstrated ability to leverage AI tools to increase velocity and quality in product development workflows * Relentless resourcefulness - ability to make big things happen with limited resources * Excellent communication and organizational skills, with attention to detail and prioritization in changing environments * Comfort innovating in complex, ambiguous situations * Genuine passion for sleep, wellness, technology, and connected devices Why join Eight Sleep? Innovation in a culture of excellence Join us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate responsibility and accelerated career growth From your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with exceptional talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable compensation and continuous equity investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company. Your own Pod - and other great benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you’ll get your own Pod, along with*: * Lunch in the office 5 days per week * Full access to health, vision, and dental insurance for you and your dependents * Supplemental life insurance * Flexible PTO * Commuter benefits to ease your daily commute * Paid parental leave *List of benefits may vary depending on your location At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Please note: This role is open to applicants in the US. Compensation (salary and equity) listed is reflective of candidates based in New York, NY. Compensation Range: $140K - $200K

Job DescriptionABOUT US: Founded in 2020, Regal is the AI Agent Platform. Regal gives every company the tools to transform customer communications with delightful AI Agents that are connected to your data, easy to customize and monitor, always available, and ready to take action. Power better support, sales, and operations – with way less effort. Our founders, Alex Levin and Rebecca Greene, helped build Angi (Angie’s List, HomeAdvisor, and Handy) to over $1.5B in revenue. Based in Manhattan, we’re building an in-person culture of entrepreneurs who want to win and build something meaningful. We’re backed by top investors including Founder Collective, Homebrew, and Emergence Capital. Come join us as we create a category-defining company, and follow Regal's company page on LinkedIn to stay up-to-date on our journey and current job openings! We’re moving fast, and the numbers speak for themselves:- Partnered with enterprise brands like Google, AAA, Ro, Coursera- Raised $82M (top tier investors including Emergence & Homebrew)- Completed 250MM+ calls- Driven $7B revenue for customers- Scaled to $## ARR- Built amazing NYC (Midtown) in office culture ABOUT THE ROLE: As a Technical Product Lead on the Voice AI Agent team, you'll drive the experience that matters most: making Regal's voice AI agents indistinguishable from the best human agents and the highest-performing in the market. You'll partner closely with engineering to set the product vision for how Regal evaluates, benchmarks, and continuously improves agent quality—building the eval frameworks, defining the performance bar, and translating frontier AI research into production gains our customers can feel on every call. This role sits at the heart of what makes Regal win. You'll work across infrastructure and applied to drive decisions that directly impact conversation quality and competitive differentiation. If you want to shape what "best-in-class" means for Voice AI—and have the technical depth and product instinct to back it up—this role is for you. RESPONSIBILITIES: Define and Own the Quality Bar: Partner with engineering to establish Regal's point of view on what makes the best Voice AI agent—across naturalness, accuracy, task completion, and conversational flow. Translate that vision into measurable standards the entire organization rallies around. Optimize the Latency-Cost-Intelligence Tradeoff: Develop the product strategy for balancing response time, inference cost, and model capability. Partner with engineering to architect a pipeline where customers get the smartest, fastest responses at sustainable unit economics. Build Evaluation & Benchmarking Frameworks: Develop comprehensive eval sets, automated regression suites, and A/B testing infrastructure to ensure Regal's agents stay top-performing as models, prompts, and configurations evolve. Stay at the Frontier: Track emerging trends in LLMs, speech-to-text, text-to-speech, and real-time inference. Evaluate new models, techniques, and architectures and translate the ones that matter into Regal's production stack. Drive Competitive Differentiation: Develop and execute a strategy for how Regal's Voice AI agents outperform alternatives—whether through model selection, latency optimization, or proprietary fine-tuning. Bridge Customers and Infrastructure: Go deep with customers to understand what "quality" means in their specific context (industry, use case, caller expectations), then translate those insights into infrastructure and model-level improvements that scale across the platform. Measure, Iterate, Ship: Define success metrics for agent quality (e.g., conversation completion rate, caller sentiment, response latency percentiles, escalation rate). Build dashboards, run experiments, and drive a continuous improvement loop with engineering and applied AI. Align and Communicate: Set a clear vision for the Voice AI team and communicate it crisply to leadership, engineering, and cross-functional stakeholders. Manage the roadmap, make hard prioritization calls, and keep the team moving fast toward outcomes that matter.ABOUT YOU: Technical Depth with Product Instinct: 4–6 years of experience as a Product Manager, Product Engineer or founder, ideally working on AI/ML products, infrastructure, or developer platforms. This role is Product lead for a research team, so you're comfortable navigating model architectures, inference pipelines, and API design—and you know how to translate that understanding into product decisions that move metrics. Eval & Data Mindset: You think in experiments, benchmarks, and feedback loops. You've built or contributed to evaluation frameworks, A/B testing programs, or quality scoring systems—and you understand why rigorous measurement is the foundation of any AI product. Natural Leader: You set a vision and bring others along. You communicate complex tradeoffs crisply, make decisions with incomplete information, and create clarity for your team in ambiguous, fast-moving environments. Deeply Curious, High Agency: You don't wait to be told what to investigate. You dig into call recordings, run your own experiments, read research papers, and chase down the root cause. You act with urgency and ownership. Preferred Background: Computer Science, Math, or Engineering background preferred but not required. What matters is that you can go deep on technical problems and come back with a clear product direction.Benefits/Perks • We care about your health!, • Medical, Dental, and Vision plans - 80% covered by the company, • Flexible PTO & 11 paid holidays/year, • Subsidized Class Pass membership, • We care about future you!, • 401k Plan, • Paid parental leave, • Pre-tax commuter benefits, • We care about connection!, • In-office breakfast and snacks daily, • Happy hours, team outings, & annual off-sites, • Complete laptop workstation

Job DescriptionAbout CookUnity: Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. About the Role We're hiring for an experienced ML-focused Data Scientist to own growth-oriented modeling across the customer lifecycle - acquisition, activation, retention, resurrection and monetization. You'll work alongside other data scientist to design, validate, and productionize statistical and ML systems (pLTV, churn/survival, uplift/incrementality, lookalikes, clustering/embeddings, NBA/ranking) that directly drive growth. This is a hands-on role for someone with strong mathematical/statistical foundations, broad modeling experience, and pragmatic MLOps chops who can lead experiments and partner closely with Marketing, Engineering, CRM, and Product. What you'll do… • Lifecycle modeling: Build and maintain predictive LTV, churn (including survival/time-to-event), order-rate, and resurrection models that feed acquisition, CRM, and retention strategies., • Acquisition & lookalikes: Create lookalike / propensity models for paid channels and audience construction; optimize CAC vs LTV tradeoffs., • Next-Best-Action & personalization: Develop NBA/ranking models, small-scale recommenders and embedding-based similarity systems to increase activation and orders., • Unsupervised & representation learning: Lead segmentation, clustering, embeddings and representation work that create actionable cohorts and features., • Production & MLOps: Own the full model lifecycle - training pipelines, CI/CD, model registries, containerized deployment, monitoring, retraining and drift detection; partner with engineers to operationalize models into CRM, marketplace and paid channels., • Model governance & reproducibility: Ensure models are well-tested, explainable, calibrated, and auditable; document assumptions, limitations and business mappings., • Cross-functional influence: Translate technical work into product recommendations, dashboards and clear narratives for Growth, Marketing and Engineering. Mentor peers and raise modeling and MLOps standards.Required qualifications, • 5-8+ years in data science, applied ML or statistics, with a track record of shipping production models., • Strong math & statistics: probability, inference, regression, survival analysis/time-to-event, causal reasoning, and familiarity with statistical modeling tradeoffs., • End-to-end ML experience: experience building, validating and deploying classification/regression/ensemble/deep models; comfort with embeddings and representation learning., • MLOps & production skills: pragmatic experience with model CI/CD, model registries (MLFlow or similar), containerization (Docker), orchestration (Airflow), and runtime infra (K8s / ECS)., • Software engineering & tooling: Python (pandas, scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow optional), strong code hygiene, testing and reproducibility., • Product & stakeholder collaboration: excellent communication, ability to embed with Growth/CRM/Marketing and translate models into product decisions., • Education: BS in a quantitative field required; MS/PhD in statistics, math, CS, economics or similar preferred.Nice-to-haves, • Experience in subscription marketplaces, food-tech, or consumer marketplaces., • Familiarity with feature stores, Snowflake/BigQuery, and production monitoring tools., • Experience with causal libraries (EconML), uplift frameworks, or survival modeling packages., • Prior work on small-scale recommender systems, embeddings, or NLP personalization. Learn More About CookUnity We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we're looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale. We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect! Benefits 🩺 Health Insurance coverage 🌅 401k Plan ⛱ Unlimited PTO 🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical 🐣 Paid Family leave 🕯 Compassionate Leave: 3-5 days each time the need arises 🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly 🧘🏽️‍♀️ Wellness perks: access to a nutritional coach and fitness subsidies to build a healthy lifestyle 👩🏾️‍🏫 Personalized Spanish coach 🌟 Awesome opportunity to join a company that is looking to change how we eat and how chefs work! Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.Pay Range for this position$160,000—$185,000 USD If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability. A quick note for all candidates We've recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously — sometimes, as part of our process, we may ask for a brief "proof of humanity" to confirm that we're connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us: • Apply only through our official channels. All open roles are listed on our official careers page: careers.cookunity.com, • Our recruiters are real people — and easy to verify. You can always find them on LinkedIn with verified profiles. If you're unsure, feel free to reach out to us on our official LinkedIn Company Page., • We only communicate through official CookUnity channels. That means emails ending in @cookunity.com and interviews held through official company platforms (Google Meet or Zoom) — never WhatsApp, Telegram, or SMS.

Job Description At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. The Role You'll Play: At Playlist, we're reimagining how technology can foster meaningful, real-world connections. As a Senior Software Engineer on the SmartDesk team, you'll be at the forefront of building an AI-powered front desk assistant that transforms how wellness businesses communicate and operate. • Crafting end-to-end AI-powered experiences that seamlessly connect wellness businesses with their clients, • Designing and implementing robust web and messaging services that power conversational and workflow automation, • Integrating large language models (LLMs) and generative AI frameworks with a laser focus on safety, reliability, and user trust, • Collaborating closely with product, design, and applied AI teams to transform complex challenges into intuitive solutions, • Architecting scalable systems across frontend, backend, and integration layers, • Mentoring teammates through thoughtful code reviews and technical guidance, • Turning cutting-edge AI capabilities into practical, user-centric product features, • Driving technical excellence by making pragmatic engineering decisions that balance innovation, quality, and time to marketYou'll drive innovation by:, • Crafting end-to-end AI-powered experiences that seamlessly connect wellness businesses with their clients, • Designing and implementing robust web and messaging services that power conversational and workflow automation, • Integrating large language models (LLMs) and generative AI frameworks with a laser focus on safety, reliability, and user trust, • Collaborating closely with product, design, and applied AI teams to transform complex challenges into intuitive solutions, • Architecting scalable systems across frontend, backend, and integration layers, • Mentoring teammates through thoughtful code reviews and technical guidance, • Turning cutting-edge AI capabilities into practical, user-centric product features, • Driving technical excellence by making pragmatic engineering decisions that balance innovation, quality, and time to market The Experience You'll Bring:, • 5+ years of Senior-level experience building full-stack features for SaaS products, • Proven track record of developing user-facing web applications and supporting APIs, • Expertise in designing and shipping AI-powered features in production environments, • Strong experience with distributed systems, third-party integrations, and messaging platforms, • Proficiency in making architectural decisions that balance technical debt, innovation, and business needs, • Deep understanding of engineering fundamentals, including testing, observability, and maintainability, • Exceptional communication skills with the ability to collaborate across multidisciplinary teams, • Comfort navigating ambiguity and rapidly learning emerging technologiesTechnologies You'll Use:, • LLMs and Generative AI Frameworks, • AWS (ECS, SQS, RDS), • Python, • TypeScript / JavaScript The base salary range for this position in the United States is $151,000 to $201,000 USD. The total compensation package for this position may also include a performance bonus, benefits and/or other applicable incentive compensation plans. Have we piqued your curiosity? Sound like the role for you? We'd love to hear from you! Even if you're not 100% sure about potential fit, we still encourage you to apply. We're looking for the right person, not the perfect series of checkboxes. The Company is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics. By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at The Company, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice (as applicable). Note: This description outlines key responsibilities but isn't intended to cover every task or duty. Additional responsibilities may be assigned as needed to support the team and business goals.

Job DescriptionWhy Join AngelList We’re solving some of the hardest problems in venture capital and private markets. You’ll work with a team that values precision, urgency, and long-term thinking. If you want to shape how startups are funded and built, this is the place. About AngelList We exist to accelerate innovation by increasing the number of successful startups in the world. We do this by building the financial infrastructure that makes it easier for more people to invest in world-changing companies. AngelList is the nexus of venture capital and the startup community. We support $171B+ in assets and have powered investments into over 13,000 startups—over 300 of which are unicorns. Today, 57% of top-tier U.S. VC deals involve investors on AngelList. While our scale is large, our ambition is larger. If you're excited to build the future of private markets, come build with us. About the Role:$15.4 billion. 20,000 startups. That's the capital our platform has put to work — and every dollar of it runs through the Accounting team’s infrastructure. We’re the engine that keeps our entire financial platform clean, accurate, and battle-tested. This isn't a maintenance role. It's a builder role — one where AI-first thinking, financial rigor, and technical leadership converge to reshape how venture capital actually moves. This is a founding Staff Engineer opportunity. You will work closely with engineering leadership and cross-functional partners to drive technical excellence across teams. You’ll shape the architecture, define the standards, and push the platform toward a first-principles accounting system designed for self-serve configurability.You will have the opportunity to: • Transform our home-grown accounting system into a foundational primitive, defining the interfaces that other teams consume., • Define scalable accounting infrastructure, owning architectural decisions end to end and ensuring execution follow-through across the company., • Apply AI to address the long-tail of data integrity challenges; create reusable patterns for reconciling increasingly complex money movement., • Partner with engineering leadership to shape roadmaps, surface technical risk early, and ensure we are building the right things the right way.You most likely:, • Have operated at staff level or equivalent. You are highly autonomous, have had impact beyond your immediate team, and have a track record of architectural decisions that held up as systems scaled., • Have demonstrated a multiplier effect on engineering teams. You’ve been the person who defined the patterns a team reached for—and the team was measurably better for it., • Are comfortable in high-stakes, domain-rich systems. You may not know fund accounting today, but you’ve built systems where correctness is non-negotiable—financial, healthcare, infrastructure, or similar. You build deep domain expertise quickly by working closely with subject-matter experts., • Have a deep love of startups, having worked at one (or potentially started one). The domain is part of the job., • Have strong hands-on coding ability. You write production code regularly, review others’ work rigorously, and have no interest in becoming a purely advisory engineer. AngelList has offices in a few cities, New York City and San Francisco. We have a hybrid in-office model: teammates come in at least 2 days per week (Tuesdays and either Wednesday or Thursday). Compensation: The compensation for this role consists of a competitive base salary, benefits, and equity package. The base salary for this role is $240,000+ annually but actual will vary based on a number of factors including a candidate’s professional background, experience, and location. Full details about our Total Rewards package will be provided during the recruitment process. Benefits: We support your life both in and outside of work. Explore our benefits Learn about Funders & Founders What Guides Us: At AngelList, we are united in our purpose to accelerate innovation and build the future of private markets. Our beliefs and values shape what we work on and how we create impact. If the below resonate, we'd love to have you with us. Our beliefs Our values & leadership expectations AngelList is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionBenefits: • 401(k), • Health insurance About Us Lightning Mechanical has been serving New Jersey and the greater Tri-State area since 2005. We specialize in commercial, industrial, and multi-tenant HVAC services, including repair, maintenance, installation, and in-house sheet metal fabrication. Our team is factory-trained on Daikin VRV and Applied systems, along with many other VRF manufacturers, giving us an edge in delivering dependable service and quality workmanship HVAC Contractor New Jersey_ Rep. As a growing contractor with a reputation for excellence, were looking to bring on the next generation of project management talent. Position Summary We are seeking a motivated Junior HVAC Project Manager to support the execution of commercial and industrial mechanical projects. This is an excellent opportunity for someone with 13 years of experience (or strong internship/assistant PM experience) who is eager to grow into a senior-level role. Youll work closely with senior project managers and company leadership, gaining hands-on exposure to scheduling, budgeting, procurement, and client relations. Responsibilities • Assist in managing HVAC projects from kickoff to closeout under the guidance of senior staff., • Track project schedules, budgets, and progress updates., • Support the preparation of submittals, RFIs, change orders, and project documentation., • Coordinate material and equipment deliveries., • Communicate with subcontractors, vendors, and internal teams to ensure timely execution., • Attend project meetings, document action items, and follow up with stakeholders., • Monitor site safety compliance and quality standards., • Gradually take ownership of smaller projects as skills and experience grow. Qualifications • 13 years of experience in HVAC, mechanical contracting, or construction project management., • Familiarity with HVAC systems, terminology, and construction practices., • Strong organizational, communication, and problem-solving skills., • Proficiency with Microsoft Office; exposure to project management software is a plus., • Bachelors degree in Mechanical Engineering, Construction Management, or related field (preferred but not required)., • Driven, detail-oriented, and eager to develop into a senior project manager. Compensation & Benefits • Competitive salary: $55,000 $70,000 per year., • Health, dental, and vision insurance options., • 401(k) retirement plan., • Paid time off and holidays., • Mentorship and career growth opportunities with a clear path to senior-level project management.

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), • Design, build, and deploy end-to-end AI-powered solutions using AI models (e.g., OpenAI, Gemini) and modern orchestration techniques such as RAG, multi-call prompting, and agent frameworks to power intelligent product experiences., • Work with product, data, and engineering teams to turn rich healthcare data into actionable insights and intelligent workflows that improve the care journey for both members and providers., • Develop robust ML pipelines and platform components that enable model experimentation, fine-tuning, training from scratch when needed, and deployment in production environments — with a strong focus on scalability, safety, and performance., • Collaborate cross-functionally to prototype and productionize AI-driven features such as personalization, care routing, decision support, and summarization., • Drive architecture discussions and technical decision-making across AI/ML systems, promoting best practices in coding, design, and evaluation of AI models., • Mentor engineers and data scientists across the organization, fostering a strong culture of curiosity, experimentation, and AI fluency., • A strong track record in either:, • Building AI-powered applications using foundation models and orchestration techniques (e.g., RAG, agents, LangChain, vector search), or, • Deep experience as a data scientist working across the data science lifecycle — from understanding messy, complex datasets to training or fine-tuning models that deliver measurable business impact., • Experience integrating and deploying foundation models via platforms like OpenAI, Google Vertex AI, or similar., • A clear understanding of how to work with health-related datasets, including user behavior, care journeys, health profiles, and provider interactions., • Fluency in Python and experience with backend or platform engineering in one or more additional languages (Go, Java, etc.)., • Familiarity with cloud-native systems (e.g., containerization, orchestration, distributed systems) and how to operationalize AI solutions within them., • Experience with data preprocessing, feature engineering, model evaluation, and end-to-end ML deployment workflows., • A collaborative mindset, strong communication skills, and a passion for using AI to improve healthcare outcomes., • Bachelor's or Master's degree in Computer Science or related field, or equivalent experience. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, 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 Description Capnexus is a comprehensive services provider. Our team consists of outstanding professionals, highly experienced in designing, building, and supporting retail software. We see ourselves as a build-as-a-service provider who follows a repeatable business pattern that can be applied to a variety of platforms and verticals. Having a culture built on outcomes and delivery at the core of the business, Capstone is providing its customers with a complete suite of services for software development, system analysis, integration, implementation, and support, as well as the option to engage a single team to perform all the services they require. Who You Are and What You'll Do: Capnexus is looking for a highly skilled Senior AWS Full Stack Developer to design, develop, and deliver a cloud-native application for a 12-week AI-powered modernization engagement in the construction industry. You will serve as a hands-on full stack developer building an intelligent subcontractor pre-qualification platform leveraging AWS services including Amazon SES, QuickSight, Lambda, and API Gateway, with a modern frontend and serverless backend. This is an exciting opportunity to work on cutting-edge generative AI solutions that transform manual document review workflows into automated, intelligent processes. Responsibilities: • Design and develop the application architecture, UI/UX, and technical requirements during the Discovery & Design phase., • Configure and integrate AWS SES for automated email delivery and Amazon QuickSight for executive-facing dashboards., • Build and deploy a document upload portal enabling subcontractors to submit insurance certificates, bonding letters, and financial statements., • Develop RESTful and serverless APIs using AWS Lambda and Amazon API Gateway to support frontend/backend integration., • Create real-time status and risk profiling dashboards in Amazon QuickSight integrated with CMIC ERP data., • Integrate AI-powered document validation and exception management workflows driven by Amazon Bedrock., • Build and manage automated subcontractor outreach features including personalized email generation and response tracking via Amazon SES., • Develop and host frontend applications using AWS Amplify, Amazon S3, and Amazon CloudFront., • Participate in CI/CD pipeline setup, automated testing, and deployment to production environments., • Collaborate with cross-functional team members including AI/ML, DevOps, and Data Engineering resources., • Conduct integration testing, support user acceptance testing (UAT), and develop user training materials., • Contribute to knowledge transfer documentation and post-deployment operations guides. Qualifications: • 5+ years of full stack software development experience, with at least 2+ years working in AWS cloud environments., • Proficiency in modern frontend frameworks (React, Angular, or Vue) and backend development using Python, Node.js, or TypeScript., • Hands-on experience with AWS serverless architecture including Lambda, API Gateway, S3, and Amplify., • Experience building and configuring Amazon QuickSight dashboards and data visualizations., • Familiarity with Amazon SES for transactional and automated email workflows., • Strong understanding of RESTful API design, data modeling, and cloud-native integration patterns., • Experience with CI/CD pipelines and DevOps practices (AWS CodePipeline, CodeBuild, or equivalent)., • Solid skills in frontend/backend integration, application testing, and deployment automation., • Excellent problem-solving, communication, and collaboration abilities within Agile/Scrum teams. Nice to Have: • Experience with Amazon Bedrock, Amazon Textract, or other AWS AI/ML services., • Familiarity with ERP systems or API integrations (CMIC or similar construction/enterprise platforms)., • AWS Certification (Developer Associate or Solutions Architect)., • Experience with CloudFront CDN configuration and S3 static site hosting., • Background in construction, insurance, or financial services industries. "Our Culture": At Capnexus, the central principles that we all adhere to, and the glue that holds us together, are our keystones. Our four keystones are: • "A Customer Obsessed, Delivery Focused, Culture", • We're driven to exceed our customers' expectations by listening, leading, solving problems, and delivering what we promise, • We aim to be the most dependable and trusted partner serving our customers. TRUST = CONSISTENCY x TIME, • "A Culture of Learning and Sharing", • We value "Lifetime Learners"; those who are hungry, competitive, curious, and self-motivated in their pursuit of knowledge., • Personal and professional growth depends on teamwork and continuous learning. By sharing knowledge, skills, ideas, and effort, we benefit our customers, ourselves, and our communities., • We recognize that the thoughts, feelings, and backgrounds of others are as important as our own. Everyone has something to learn and everyone has something they can teach., • Knowledge and ability are valued. Sharing knowledge and helping others learn new capabilities is valued exponentially., • "A Culture of Growth and Scalability", • Growth comes from not establishing barriers in your role. "Cross functional skill sets are valued and help us deliver to our customers in a truly agile fashion. It comes with understanding that when asked to do something new, you will need support, have questions, and make some mistakes along the way., • The most elegant solution is a simple solution. Simple doesn't mean easy. It's often more difficult to break a complex problem down into simple, scalable terms. We don't appreciate, or value, over architected solutions or superfluous coding., • Time is one of our most precious commodities. Scalability implies being respectful of this and passionate about making the most efficient use of each and every one of our team members time., • "All Work is Strategic", • No matter how small a project or assignment appears, every single engagement is an opportunity for us to prove ourselves, build trust, and develop relationships that last and grow, • Every task, interaction, and commitment matters, • Big or small, we execute our plans and strategies with focus, commitment, and passion We offer: Job Type: Full-time, short-term Benefits: • Remote work Capnexus is an equal opportunity employer. We embrace and celebrate diversity and are committed to creating an inclusive and safe environment for all employees. Experience comes in many forms, and we're dedicated to adding new perspectives to the team. We encourage you to apply even if your experience doesn't perfectly align with what we have listed. We look forward to hearing from you. No Agencies Please!

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We’re SeekingQvest US is seeking an experienced Senior Consultant in Applied AI & Change Management to join our growing Applied AI practice. In this role, you will help lead several technology and business consulting projects ranging from the implementation of Applied AI technology solutions, to the formulation of organizational and process strategy, to PMO establishment. We are looking for an organized and ambitious team member who will excel in a fast-paced environment.What You'll Do • Help guide project teams through all core project phases of Applied AI implementation, including project setup, requirements gathering, design, development, testing and deployment., • Conduct initial reviews of deliverables and give feedback., • Proactively identify risks and issues, and provide mitigation strategies., • Lead various client meetings such as stakeholder interviews and client workshops., • Build and maintain strong client relationships., • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancement.What You'll Bring, • 3-5+ years Systems Integration, Implementation, SDLC, Project Management experience, • Experience implementing AI/ML/Applied AI systems, • 3+ years in consulting / professional services, big firm experience preferred, • 1+ years of experience with organizational change management (OCM), including creating strategies to shepherd an organization and stakeholders through a large-scale change, • Consistent exposure to end-to-end SDLC (requirements analysis, design, development management, testing and delivery), • Trained on process and/or technology methodologies (e.g. Lean Process Improvement, Six Sigma, Agile implementation, Waterfall model), • Experience working with a project team on at least 2 package or custom solution implementation projects, • Experience with presentation and spreadsheet tools such as PowerPoint, Visio, and Excel, • Bachelor's degree in engineering, information systems, computer science, business administration, or other related fieldsPreferred Experience, • Experience in Media & Entertainment and/or Consumer Products industries, • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC)Travel RequirementsEmployees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee’s primary office location, state, or region. Remote & Hybrid WorkWhile remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive. Life at QvestWe were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams’ skill sets and we prioritize our employees’ professional growth paths. Qvest US is currently 300+ people strong and we’ve been recognized as a “Best Place to Work,” a “Great Place to Work,” “Fastest Growing,” and “A Jewel." Equal Employment OpportunityQvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.

Job DescriptionAbout Fractional AI How do you turn a decades-old dataset into an industry-leading medical coding agent? Teach an AI receptionist to book appointments in Spanish? Automatically generate working data connectors from API docs? Build agents that write, test, and deploy their own software packages? Fractional AI is a startup in the heart of Silicon Valley targeting the biggest greenfield opportunity in the economy: transforming companies with AI software at a scale the market is only beginning to understand. Our clients include Zapier, Airbyte, and companies from industries ranging from data infrastructure to healthcare and life sciences. We were founded by repeat founders Chris Taylor, Eddie Siegel, and Travis May (Founder of Datavant, $7B exit), and are backed by Shaper Capital. Most of our engineers are former founders or staff engineers from top tech companies like Google and Stripe. We're headquartered in SF with additional offices in NYC, Raleigh-Durham, and Dubai. The Role This role is designed for former engineering leaders (IC or EM) or founders who are comfortable owning end-to-end technical outcomes but specifically want to continue being impactful as individual contributors and spend more time in the code. You'll work on a small, high-caliber team (2–5 engineers and a PM) building AI products for our clients. You'll set technical direction, write code, and be the person the team looks to when something is hard. You'll spend roughly 75% of your time in code and 25% working directly with clients — often their CTOs — understanding problems, walking through tradeoffs, and making sure what we’re building meets their needs. Most engineers take a decade to see this range of hard problems across this many domains. Here, you'll do it in your first year. To make this possible, we are religious about being the best company in the world to learn Applied AI engineering practices. What You Bring * 8+ years of engineering experience, with deep care for the craft. You've shipped multiple complete products end-to-end and write elegant, production-ready code across multiple disciplines. * Specific interest in applying software engineering fundamentals to AI systems. You care about balancing frontier model capabilities with good system design. * Comfort talking with senior technical stakeholders. You navigate conversations skillfully, and care about people using what you build. * High ownership mindset. You jump in without instruction, embrace a "no job too big, no job too small" mindset, and want to shape strategy and culture. * Low ego, high integrity. You help others and ask for help. You hold a high bar for honesty–with yourself and your team. Our Engineering Philosophy We're opinionated about what works in production, and we write about it — from why most eval setups fail by collapsing everything into a single score, to why defaulting to chat interfaces limits AI's impact. We have a distinct approach to building AI systems: applying standard software engineering discipline to the non-deterministic world of frontier AI. We design systems around testable hypotheses, curate durable data sets, and ensure what we ship keeps working long after we've handed it over. After shipping 30+ AI products, we have strong opinions on what makes AI products succeed and how to get them into production. We think you'll find it refreshing if you've seen how most companies approach AI. How Fractional Is Different A typical engineer here ships two to three products per year and learns from dozens more. You have outsized autonomy on each product — but you won't have a year to polish a single system. The upside is constant time on the frontier of models and tooling, and a muscle for AI product development that's hard to build anywhere else. Most engineers look back at this as the biggest growth period of their career. But it's possible you won't like it — we recommend using the interview process to hear what our engineers think. Our Values * Overdeliver: We are writing the playbook on how to create enterprise value with LLMs, and building our reputation as the world’s best applied AI team. * Overuse AI: We go out of our way to experiment with the latest tools and share what we learn with our teammates - building a culture at the frontier. * Over "engineer" the culture: For every big decision, we ask “would this make Fractional a better or worse place for our team?” Location San Francisco, CA New York, NY Work Arrangement: 4 days in-person, Fridays remote Benefits * 🏦 Competitive Compensation Package: Attractive salary aligned with your experience and skills. * 📈 401k with Matching: Invest in your future with our company-matched retirement plan. * 🌴 Unlimited PTO: Take the time you need to relax and rejuvenate. * 🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy. * 🚑 Health FSA: Manage out-of-pocket health expenses effectively. * 🚌 Commuter Benefits: Make your travel to work easier and more affordable. * 🏥 Life Insurance: Providing peace of mind for you and your loved ones. * 🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit. Ready to join us? Compensation Range: $230K - $350K

Job DescriptionDescription: KS Engineers, P.C. (KSE) is a mid-size engineering and construction management firm ranking in the ENR Top 500 for design and ENR Top 100 for construction management. We are headquartered in Newark, NJ, with regional offices in New York City and Newburgh, NY; Philadelphia and Pittsburgh, PA; Mount Laurel and Mount Arlington, NJ; and Rocky Hill, CT. The firm provides engineering, construction management, and land surveying services to both public and private sector clients. KSE offers a full range of employee benefits, including medical, dental and vision insurances, a 401(k) plan, paid time off, Flexible Spending Accounts (FSAs), long- and short-term disabilities, and term life insurance. KS Engineers, P.C. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Position: Senior Inspector – NJ DCA Reports to: Department Manager and/or Project Manager General Qualities: • Qualified NJ DCA Certified Special Inspector to support inspection services on construction projects throughout New Jersey., • This role is responsible for ensuring that all work complies with applicable codes, standards, and project specifications, while maintaining the highest levels of safety and quality., • 3–9 years of relevant inspection experience Technical Duties & Responsibilities: • Perform field inspections in accordance with NJ DCA regulations, project specifications, and applicable building codes, • Inspect construction activities including structural steel, welding, concrete, masonry, and fireproofing, • Verify compliance with approved plans, submittals, and contract documents, • Identify and report non-conforming work and coordinate corrective actions, • Prepare and submit detailed daily inspection reports and documentation, • Coordinate with contractors, engineers, and project stakeholders to ensure quality and compliance, • Bachelor’s degree in civil, Structural, or Geotechnical Engineering (preferred), • Structural Welding, • Structural Steel & Bolting, • Reinforced Concrete, • Structural Masonry, • Spray-Applied Fireproofing, • NJ DCA Special Inspector – Concrete Placement, • NJ DCA Special Inspector – Prestressed Concrete, • NJ DCA Special Inspector – Soils, • Nuclear Gauge Safety Certification (U.S. Department of Transportation), • OSHA 30 Certification Physical Requirement: • Ability to pass a physical exam for full mobility, • Capable of lifting and/or moving up to 50lbs carrying, and transporting equipment, samples, and materials, • Comfortable navigating active construction sites, including ladders, scaffolding, and uneven terrain, • Willingness to work in varying site conditions and project environments KS Engineers, P.C. is an EOE/AA/VEV/Disabled Employer. KSE will not discriminate based on race, color, religion, creed, sex, national origin, marital status, age, disability, veteran status, citizenship status, or other status protected by law.

Job Description:\n\nLantheus (NASDAQ: LNTH) is the leading radiopharmaceutical-focused company, delivering life-changing science to enable clinicians to Find, Fight and Follow disease to deliver better patient outcomes. Headquartered in Massachusetts with offices in New Jersey, Canada, Germany, Sweden, Switzerland and United Kingdom, Lantheus has been providing radiopharmaceutical solutions for nearly 70 years. Today, we’re expanding our portfolio and pipeline across oncology, neurology and cardiology. Through recent acquisitions, along with strategic partnerships across the life sciences ecosystem, we are accelerating our efforts to advance precision medicine and improve patient outcomes around the world. At Lantheus we are purpose-driven, and every employee plays a vital role in our success. We’re dedicated to cultivating a high-growth, forward-thinking culture where innovation thrives and diverse perspectives drive meaningful progress. Join us and be part of a company where your contributions make a real impact, because we know someone’s health is in our hands. Summary of role As a key member of the Lantheus Springfield manufacturing site senior leadership team, the Radiation Safety Officer (RSO) Associate Director provides Environmental, Health, and Safety and Radiation Safety leadership across radiopharmaceutical manufacturing (e.g., RLT, PET and isotope products). The RSO Associate Director provides visible leadership to foster a proactive safety culture, ensures compliance with applicable EHS (e.g., EPA, OSHA, DOT, and New Jersey Department of Environmental Protection (NJDEP)) and radiation (e.g., Nuclear Regulatory Commission (NRC) and New Jersey Radiation Protection Code) regulations and Lantheus' standards. The RSO Associate Director drives the prevention of injuries/illnesses and environmental releases and oversees the radiation safety program and licensed radioactive material activities in accordance with the site RAM License. This role also has the responsibility to oversee the licensing of Lantheus products for distribution in every state throughout the United States of America. This includes the applicable pharmaceutical manufacturing, warehousing, and distribution licensing required by each individual state regulatory body. This position is based in Springfield, New Jersey and requires a presence on-site 5 days per week, and open to applicants authorized to work for any employer within the United States. ResponsibilitiesProvide day-to-day EHS and Radiation Safety technical leadership for the Evergreen site ensuring environmental, health, safety, and radiation compliance with the applicable federal and state regulations. Measure, analyze, and improve performance to meet business objectives. Establish and govern key metrics (e.g., OSHA injury rate, near misses, safety observations, and EM performance) and use leading indicators to anticipate and mitigate risks to employee health and safety.Develop and maintain deep technical expertise in radiopharmaceutical manufacturing (RLT, PET and isotope products), including radioactive material handling and controls, radiochemistry/radiosynthesis, automated synthesis platforms, in-process controls, and analytical/quality procedures. Ensure technical knowledge is translated into robust procedures, training, and standardized ways of working to prevent health and safety risks and radiation exposure.Create and continuously improve the site EHS management system and compliance programs, including written programs, procedures, inspections, and governance routines that drive consistent execution.Develop, implement, and maintain site safety and environmental procedures and training (e.g., hazard communication, chemical hygiene, LOTO, confined space, hot work, PPE, waste handling, spill response) and verify effectiveness through audits and field observations.Own EHS recordkeeping and reporting, including OSHA 300/300A, incident/near-miss documentation, environmental monitoring records, waste manifests, and other required logs; analyze trends and communicate performance to site leadership.Lead incident management for safety and environmental events, including immediate response/notification, investigation, root cause analysis, corrective and preventive actions (CAPA), and effectiveness checks.Partner with Manufacturing, Engineering, and Facilities to implement safe work controls for routine and non-routine work, including contractor EHS oversight, pre-job risk reviews, permits (hot work/confined space), lockout/tagout, and job hazard analyses.Own site environmental compliance programs as applicable (e.g., air, wastewater/stormwater, hazardous waste, SPCC), including permit conditions, routine inspections, sampling/monitoring, submissions, and coordination with EPA, NJDEP, and other agencies.Manage chemical and waste stewardship, including hazardous waste accumulation areas, vendor oversight, manifesting, storage compatibility, spill prevention/response readiness, and periodic drills as required.Drive EHS engagement and capability building through onboarding and annual refresher training, safety communications, and coaching for leaders and employees; lead safety committees and routine site safety walks.Serve as key EHS and Radiation technical representative during regulatory interactions and inspections (e.g., EPA, OSHA, NRC, NJDEP and other agencies). Ensure sustained inspection readiness, effective responses to information requests, and timely completion of associated commitments. Maintain an understanding of, and up-to-date copies of: NRC and NJ DEP regulations.The RAM License.Current versions of procedures related to radiation safety.Ensure that radioactive material at the Springfield facility is limited to the types and quantities of the materials listed on the RAM License. Amend the RAM License whenever there are changes in licensed activities, responsible individuals, or information commitments provided to NJ DEP during the licensing process. Provide necessary information on all aspects of radiation protection to personnel at all levels of responsibility, according to the conditions of the license. Maintain physical security of RAM. Post documents as required by New Jersey Administrative Code (NJAC) 7:28. Implement control measures that limit radiation exposures As Low as is Reasonably Achievable (ALARA).Oversee proper delivery, receipt, use, and performance of radiation surveys for all shipments of radioactive material arriving at or leaving from the facility, as well as accurate packaging and labeling of all radioactive material leaving the facility. This includes monitoring and surveys of all areas in which radioactive material is possessed and used. Maintain any required records related to the safe use and transport of radioactive material, including, but not limited to:Shipping documentation.Survey and wipe test results.Personnel monitoring records.Effluent monitoring records.Instrument calibration reports.Incident reports.Radiation safety program audit reports.Distribute and process personnel radiation-monitoring equipment, determine the need for and evaluate bioassays, monitor personnel radiation exposure and bioassay records for trends and high exposure, notify individuals and their supervisors of radiation exposures approaching established limits, and recommend appropriate remedial action. Install, monitor, and replace facility or area dosimetry to appropriately manage and monitor radiation levels throughout the facility. Immediately terminate any unsafe condition or activity that is found to be a threat to employee or public health and safety or property. Supervise decontamination and recovery operations. Develop, implement, maintain, and distribute, as appropriate, up-to-date operating, emergency and security procedures. Conduct training programs and otherwise instruct all personnel in the proper procedures for handling radioactive material prior to possession and/or use, both at periodic intervals (refresher training), and as required by changes in procedures, equipment, and regulations.Supervise and coordinate the radioactive waste disposal program, including effluent monitoring and recordkeeping of waste storage and disposal. Oversee the storage of radioactive material not in current use, including waste. Perform or arrange for leak tests on all sealed sources and calibration of radiation survey instruments.Hold periodic meetings and provide reports to management as needed to ensure appropriate administration of the radiation safety program.Perform periodic audits of the radiation safety program to ensure compliance with:All applicable NRC and NJ DEP regulationsThe terms and conditions of the RAM License The content and implementation of the program to achieve occupational doses and doses to members of the public that are ALARA.The requirement that all records be properly maintained. Ensure that the results of audits, identified deficiencies, and recommendations for change are documented, provided to management for review, and ensure that prompt action is taken to correct deficiencies. Communicate audit results and corrective actions to all personnel who possess/use radioactive material. Ensure that all incidents, accidents, and personnel exposure to radiation in excess of ALARA or established limits are investigated and reported to the NJ DEP and other appropriate authorities as required and within the required time limits.Coordinate the PDMA application process for all Lantheus products distributed in the United States. Maintain state licensure to enable the distribution and sale of all Lantheus products in all 50 states. Basic QualificationsBA in a scientific discipline/AAS with a minimum of eight (8) years’ health physics and related EH&S experience, with a minimum of two (2) years’ experience as a Radiation Safety Officer highly preferred.Demonstrated working knowledge of applicable radiation safety regulations and guidance (e.g., NRC and New Jersey Radiation Protection Code), license conditions, and ALARA principles.Experience with radiation monitoring and contamination control practices, including performing/overseeing surveys, wipe tests, personnel monitoring/ dosimetry, and maintaining required records.Ability to lead response to radiological incidents/events, conduct investigations, implement corrective actions, and support required notifications and reporting to regulatory agencies within required timeframes.Must be able to meet the RSO qualification requirements specified by the site Radioactive Materials License and applicable regulatory agencies (or obtain qualification within an agreed-upon timeframe).Experience with hazardous/regulated waste and chemical management, including accumulation area requirements, waste characterization, vendor coordination, manifesting, and internal training/communication.Ability to lead or support environmental inspections and audits (internal and regulatory), identify gaps, and drive corrective and preventive actions (CAPA) to closure. Preferred QualificationsPrevious experience as a Radiation Safety Officer.Strong communication and training capability, including developing and delivering radiation safety training and partnering effectively with Manufacturing, Quality, Engineering, and Facilities.Experience supporting and maintaining environmental permits and compliance obligations (as applicable), including routine inspections, sampling/monitoring, recordkeeping, agency correspondence, and timely submittals.Working knowledge of key environmental regulatory programs applicable to a manufacturing site (e.g., EPA and NJDEP requirements related to hazardous waste/RCRA, air, wastewater/stormwater, chemical storage and spill prevention (SPCC), and emergency planning/right-to-know).Demonstrated capability to respond to and investigate environmental incidents/spills, coordinate containment/cleanup, complete required notifications, and implement sustainable corrective actions.Proven ability to influence and partner cross-functionally to integrate environmental requirements into operations and projects, communicate expectations clearly, and coach leaders and employees on compliant practices. Core Values The ideal candidate will embody Lantheus core values:Let people be their bestRespect one another and act as oneLearn, adapt, and winKnow someone’s health is in our handsOwn the solution and make it happen The pay range for this position is between $139,000 and $232,000 annually. Actual base pay offered may vary depending on a number of factors such as job-related knowledge, skills and experience. Employees in this position are eligible for a discretionary performance-based cash incentive, and depending on the level of the role may be eligible for a discretionary annual equity award. Benefits for this position include a comprehensive health benefits package that includes medical, prescription drug, dental, and vision coverage. Other offerings include life and disability benefits, pre-tax accounts, a 401(k) with company contribution, and a variety of other benefits. In addition, employees are eligible for a generous time off package including paid vacation, holidays, sick days, and paid parental leave. Interested candidates can apply at Lantheus.com. Applications for this position will be accepted until June 12, 2026. Lantheus is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, disability, protected medical condition as defined by applicable state or local law, genetic information, or any characteristic protected under applicable federal, state, or local laws and ordinances. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the Lantheus Talent Acquisition team at . Lantheus is an E-Verify Employer.

Job Description The Product Engineer, Global Credit Technology is a hands-on engineering role focused on building and scaling business-critical applications for Carlyle’s Global Credit platform. This role partners closely with investment professionals and business stakeholders to design, develop, and deliver high-quality software solutions that improve credit workflows, analytics, and decision-making. This engineer owns features end-to-end across backend services, frontend applications, and applied AI capabilities where appropriate. The ideal candidate combines strong technical execution with sound product judgment, is comfortable working in ambiguous problem spaces, and thrives in a business-embedded engineering model. Requirements: • 8 years of overall relevant software engineering experience, showing longevity within roles, • Bachelors Degree in Computer Science, • Experience with a strong focus on application development coding i either Python or React as primary language, • Experience developing or integrating AI-enabled applications, including familiarity with LLMs and orchestration frameworks (LangChain, LlamaIndex) or working on own AI personal projects, but must be able to share production ready based AI functionality capabilities, • Prior experience or exposure to the alternative asset management or financial services industry, preferred, • Experience working with and coordinating offshore development teams, • This resource will be working closely with the Credit business users and offshore development teams - strong problem-solving and communication skills are a must, • Ownership driven with a proven background in delivering end-to-end solutions Company DescriptionAtlas Search is an executive recruiting firm dedicated to placing accounting, finance, middle office, information technology, human resources, and office / accounting support professionals. Our clients range from Fortune 500 to start-ups and we service all industries ranging from Financial Services to Media & Entertainment. We were founded on the principle of relationships; our firm has been built on partnering with candidates and clients with a focus on their long-term interests. We provide Technology professionals like yourself on a permanent basis for our clients across all industries. Specialties include: Software Engineers, Web Developers, iOS/Android Engineers, Data Analysts, Business Intelligence, Data Engineers, Data Scientists, Help Desk/Desktop Support, Systems Administrators/Engineers, Network Administrators/Engineers, Cloud/DevOps Engineers, Application Support, Business Analysts, Project Managers, IT Managers, CTOs, etc.Atlas Search is an executive recruiting firm dedicated to placing accounting, finance, middle office, information technology, human resources, and office / accounting support professionals. Our clients range from Fortune 500 to start-ups and we service all industries ranging from Financial Services to Media & Entertainment. We were founded on the principle of relationships; our firm has been built on partnering with candidates and clients with a focus on their long-term interests. We provide Technology professionals like yourself on a permanent basis for our clients across all industries. Specialties include: Software Engineers, Web Developers, iOS/Android Engineers, Data Analysts, Business Intelligence, Data Engineers, Data Scientists, Help Desk/Desktop Support, Systems Administrators/Engineers, Network Administrators/Engineers, Cloud/DevOps Engineers, Application Support, Business Analysts, Project Managers, IT Managers, CTOs, etc.

Job Description Work includes: • Applied research in AI, • Transforming applied research into solutions, • Scaling AI solutions to large end-user population, • Development across a wide range of software engineering disciplines, • Development of graphical AI modeling languages and IDE's, • Work with speech and natural language recognition technologies, • Communication with customers and experts in a range of disciplines, • Development of innovative AI and software solutions to direct and support company vision., • Occasional travel based on role and project, • Serious Game / Training Simulation development, • Apply AI engineering best practices to develop solutions for the DoD, • Create AI behavior models for deployment in a variety of domains, • Employ cutting edge AI research to create realistic characters and entities to enhance training experiences, • Develop and enhance speech recognition and natural language technologies, • Develop and enhance a graphical behavior and device modeling technology, • Work with Subject Matter Experts to capture knowledge about a variety of training domains, • Analyze user needs and develop software solutions, • Collaborate with a small team of talented engineers to design and optimize code, • Create design documents for complex software systems, • Create new software designs and system architectures, • Lead software design efforts of other engineers, • Participate in code, model reviews, and test to ensure quality products and services for our customers, • Brainstorm and contribute ideas to overcome barriers to innovation, • Mentor younger team members on Discovery Machine best practices and culture, • Collaborate with others; being team-oriented and proactively engaging to meet shared objectives, • Must be a U.S. Citizen; Work Visa is not eligible, • Wide range of experience considered, • Strong analytical and critical thinking skills, • Must enjoy learning, • Bachelor’s degree in Computer Science or a related field, • Background in AI is a plus, • User Interface Design experience is a plus, • Previous experience in software development, computer engineering, or other related fields, • Knowledge of Java, C#, Python, or other programming languages, • Innovative products & services, • Competitive salary, • Full benefits partially subsidized by company, • Company matched simple retirement account (SRA), • Generous paid time off (holidays, vacation, and sick time), • Short-term and long-term disability insurance provided, • Merit raises and performance bonuses available, • Small company environment, • Snack bar, • Casual dress code Made of a small, tight-knit team of talented engineers, Discovery Machine develops and deploys a set of software solutions that push the boundaries of AI technology. From advanced research into completely novel AI technologies, to the utilization of cutting-edge natural language processing applications, work at Discovery Machine constantly exposes our employees to new and interesting engineering challenges.At Discovery Machine® Inc., we are revolutionizing the future of technology with our pioneering Artificial Intelligence (AI) solutions. We are scaling cutting edge AI solutions throughout the Department of Defense (DoD). If you are passionate about technology; if you love finding ground-breaking solutions to complex, cutting-edge technical problems; if you are determined to work at a small company, with a team of mentors and colleagues dedicated to helping you grow; then look no further, we want you to apply!\r\n\r\nMade of a small, tight-knit team of talented engineers, Discovery Machine develops and deploys a set of software solutions that push the boundaries of AI technology. From advanced research into completely novel AI technologies, to the utilization of cutting-edge natural language processing applications, work at Discovery Machine constantly exposes our employees to new and interesting engineering challenges.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Cloud Computing. Lecturers are the primary instructors for courses and an invaluable component of the faculty community. This course introduces analytics students to applied cloud computing concepts and practices ranging from infrastructure and administration to services and applications. The course is primarily focused on the development of practical skills in utilizing cloud services to build distributed and scalable analytics applications. Responsibilities * Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions. * Monitor and address student concerns and inquiries. * Evaluate and grade student work and assessments. * Conduct office hours. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements • Ph.D. in Computer Science, Software Engineering, or related field Solid knowledge and academic foundation in distributed computing, UNIX operating system fundamentals and shell programming * Experience with the Linux operating system, cloud virtualization and storage systems * 3+ years of professional experience with at least one of the commercial cloud services (Google Cloud Platform, Amazon Web Services, Microsoft Azure, or IBM Cloud) * Knowledge of Python programming language Preferred Skills & Experience * University teaching experience * Experience with setting up and configuring Google Cloud Platform services * Knowledge of distributed computing and orchestration frameworks, such as Apache Spark and Kubernetes Additional Information Please submit a resume inclusive of university teaching experience. Columbia University is an Equal Opportunity/Affirmative Action employer. All your information will be kept confidential according to EEO guidelines. Salary Range: $11,000-$13,000 per semester length course

Job Description We are Rokt, a hyper-growth ecommerce leader. Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt’s AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers, and is trusted to do this by the world’s leading companies. We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue—and often all their profits—from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation. At Rokt, we practice transparency in career paths and compensation. We believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible. We are looking for an Enterprise Account Executive Target total compensation ranges from $149,000 - $267,000, including a fixed annual salary of $100,000 - $130,000 an employee equity plan grant, and world-class benefits. Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility. About the role: As an Enterprise Account Executive at Rokt, you'll drive revenue by securing strategic deals with top-tier brands and helping them unlock new value from the Transaction Moment. You'll need to understand complex ecommerce ecosystems, navigate multi-stakeholder organizations, and position Rokt as a strategic partner, not a vendor. You'll own the full sales cycle from prospecting to close, working closely with Product, Engineering, and Customer Success to bring tailored solutions to market. You'll develop deep expertise in your vertical, becoming a trusted advisor who can speak credibly to CMOs, CROs, and technical decision-makers alike. Your ability to synthesize and represent customer feedback will directly shape our roadmap. We're looking for someone deeply curious, who leads with conviction and thrives when things move fast and change often. What You'll Do • Own a revenue target and the entire sales cycle, from outbound prospecting to complex enterprise closes, • Break into new enterprise accounts while expanding footprint within existing strategic customers, • Develop and execute vertical-specific GTM strategies, identifying high-value use cases for Rokt's platform, • Become a trusted advisor to customers: understand their business deeply, craft tailored solutions, and co-innovate on the product roadmap, • Lead with clear recommendations based on industry expertise; don't present menus, present solutions, • Prioritize lighthouse accounts that can serve as category-defining references, • Collaborate cross-functionally with Product, Engineering, Marketing, and Applied AI teams to bring new solutions to market, • Develop sales collateral, proposals, and presentations that position Rokt's differentiated value About you: • 5+ years of enterprise B2B sales experience in e-commerce technology. SaaS, API solutions, or adtech/martech, • A track record of managing complex, multi-stakeholder sales cycles and consistently exceeding revenue targets, • Demonstrated ability to navigate dynamic stakeholder ecosystems, build consensus across disparate groups, and close highly customized commercial agreements, • Technical fluency. You can have credible conversations about APIs, data integrations, and AI/ML with engineering leaders, • Excellent communication skills with the ability to present confidently and build connections from ICs to C-level executives, • A strategic, analytical approach to assessing markets combined with creative, tactical execution, • A "roll up your sleeves" mentality. You bring order to chaos and aren't above doing what needs to be done About Rokt’stars: As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock real-time relevancy in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks, or challenge the status quo; in doing so we either win or learn. We work together as one aligned team, never letting egos get in the way of brilliant ideas. We value diversity, transparency, and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better. About The Benefits: We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it: • Become a shareholder. Every Rokt’star gets equity in the company, • Enjoy catered lunch every day and healthy snacks in the office. Plus join the gym on us!, • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and get fully funded premium health insurance!, • Dog-friendly office, • Extra leave (bonus annual leave, sabbatical leave etc.), • Work with the greatest talent in town We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team.

Job Description Immediate Start - Machine Learning Researcher (PhD) – Systematic Commodities Hedge Fund Moreton Capital Partners is rapidly expanding and seeking a talented Machine Learning Researcher to help design and improve the predictive models that power our systematic commodities trading strategies in our Mexico City Office. We trade global commodity futures using machine learning, alternative data, and institutional-grade portfolio construction. Our edge comes from research depth, disciplined experimentation, and robust production systems. This role is for candidates completing or having recently completed a PhD with a strong machine learning, statistics, or applied mathematics focus who want to apply advanced research in a real capital environment. You will work directly with the CIO and sit alongside a world class international quant research team to turn cutting-edge ML ideas into live trading signals. Your research will ship to production and directly impact portfolio returns. This is not a purely academic role. We're looking for someone ready to hit the ground running and available to start immediately. In return, we offer a competitive salary, substantial performance share, comprehensive benefits, incredible work environment and a relocation package to make the move seamless. What you will work on • Designing predictive models for cross-sectional and time-series commodity returns, • Developing new features from price, positioning, options, macro, and alternative datasets, • Improving signal robustness and reducing overfitting through rigorous validation, • Combining and blending multiple models into portfolio-level forecasts, • Regime detection, meta-models, and adaptive allocation frameworks, • Model diagnostics, explainability, and stability analysis, • Translating research ideas into production-ready implementations, • Formulate research hypotheses and test them using clean, time-aware ML pipelines, • Build and evaluate models (tree-based, linear, ensemble, deep learning, etc.), • Run walk-forward and out-of-sample experiments with realistic costs, • Analyze information coefficients, turnover, drawdowns, and risk-adjusted returns, • Design feature engineering frameworks and reusable research tooling, • Document findings clearly and communicate results to portfolio managers, • PhD (completed or near completion) in Machine Learning, Statistics, Applied Mathematics, Computer Science, Physics, Engineering, or related quantitative field, • Strong Python skills and experience with scientific computing stacks, • Deep understanding of statistical learning and model validation, • Experience working with large datasets and experimental pipelines, • Ability to move from theory to practical implementation, • Intellectual curiosity and strong problem-solving mindset, • Experience with financial markets or systematic trading, • Familiarity with time-series modelling or forecasting, • Experience with LightGBM/XGBoost, deep learning, or ensemble methods, • Exposure to portfolio construction or risk modelling, • Experience with cloud or distributed compute environments, • Direct impact: your research drives live trading capital, • Research freedom: explore ideas with fast feedback loops, • Real-world data: large, messy, multi-source datasets, • Small team: high ownership and rapid iteration, • Strong learning curve across ML, markets, and portfolio construction, • Market leading benefits, • High responsibility from day one, • Attractive compensation: Highly competitive base salary and annual bonus that scales as the business grows., • Relocation package to our Mexico City office, along with a competitive benefits offering that includes health and life insurance, a year-end bonus, and generous paid time off., • Positive, inclusive and encouraging work environment., • Close collaboration across a global team.

Job Description A client of AlphaStaffHCM™ is searching for a Research Scientist who will work on the modeling, simulation, and architectural development of quantum and artificial intelligence (AI) computational structures intended for chip-scale implementation. The right candidate must be able to work onsite in Hoboken, NJ. Key Responsibilities: • Develop and simulate quantum and AI-based photonic architectures for on-chip, • implementation., • Translate high-level computational concepts into device-level and system-level, • simulation models., • Perform rigorous electromagnetic and Multiphysics simulations to evaluate optical,, • nonlinear, and quantum effects., • Model and simulate quantum photonic circuits and quantum gates under realistic device, • conditions., • Analyze fabrication tolerances and material constraints to assess design robustness., • Optimize photonic device structures for performance, scalability, and manufacturability., • Collaborate closely with fabrication and packaging teams to ensure simulation models, • align with process capabilities., • Support post-fabrication validation by correlating experimental results with simulation, • predictions., • Document modeling methodologies, simulation results, and architectural trade-offs for internal and external reporting Must Have Qualifications: • Ph.D. in Physics, Applied Physics, Electrical Engineering, or a closely related discipline., • Strong foundation in Photonics, Quantum optics, Nonlinear optics, • Demonstrated experience in simulation of photonic integrated circuits., • Experience modeling and simulating quantum gates/ quantum optical systems., • Understanding of semiconductor/TFLN and photonic chip fabrication processes, • Familiarity with chip testing and packaging considerations from a modeling perspective., • Software experience with Lumerica, Python, and Tidy3D Nice to Have Qualifications • Software experience with COMSOL Multiphysics, MATLAB, and/or Z-Max, • Demonstrated experience as a self-starter, • Demonstrated experience as a quick leaner Compensation and Perks • Salary range: $120,000-$150,000 annually, based on experience., • Medical, dental, and vision coverage., • Generous PTO and a retirement match., • 9:00-5:00 in office schedule Disclaimers: AlphaStaff, Inc. and the Client are equal employment opportunity employers and do not discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, past or present military service, disability, genetic information, or any other basis protected by applicable federal, state, or local laws.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview: We are seeking a highly motivated plasma physicist to join our team, focusing on the analysis, simulation, and optimization of the divertor region of a stellarator magnetic field. The ideal candidate will possess a strong background in plasma physics, with a particular emphasis on plasma fluid models, neutral particle models, and/or atomic processes within plasmas. Experience with the boundary of fusion devices is a plus. You will work on a dynamic team, contributing to cutting-edge research and development in Thea Energy’s stellarator systems. Key Responsibilities: • Develop and implement algorithms for the simulation of fluid plasmas within complex magnetic edge topologies., • Conduct simulations and analyses of collisional edge plasma in stellarators, coupled with neutral-particle and atomic physics models., • Collaborate with cross-disciplinary teams to design stellarator divertor systems., • Perform data analysis, model validation, and provide insights into the physical mechanisms governing plasma behavior., • Prepare technical reports, presentations, and publications based on design, optimization, and simulation results., • PhD in Plasma Physics, Computational Physics, Applied Physics, or a related field, or bachelor’s degree in a relevant field with 5+ years of experience or master’s degree in relevant field with 2+ years of experience., • Strong knowledge of computational plasma physics and numerical simulations., • Experience with the boundary of fusion devices, especially stellarators or tokamaks, is a plus., • Proficiency in programming languages commonly used in scientific computing (e.g. Python, Fortran, C++, and MATLAB)., • Familiarity with simulation tools used in plasma physics research. Preferred Skills: • Experience with edge plasma models such as FLARE, DESC, SOLPS, UEDGE, and EMC3-EIRENE., • Experience working on an integrated plasma physics experimental device, ideally a stellarator or tokamak., • Understanding of plasma fluid models and neutral particle models., • Familiarity with Plasma-Material Interactions., • Experience in high-performance computing (HPC) environments.. Personal Attributes: • Excellent analytical, problem-solving, and communication skills., • Ability to work independently and manage projects., • Strong attention to detail and a passion for advancing the field of fusion energy research., • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally.Company Benefits:, • Salary range $120,000 - $170,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job DescriptionAbout Amigo Amigo partners with healthcare organizations to deploy robust AI infrastructure that directly serves patients and providers. Our agents handle clinical workflows and patient engagement across the entire journey: pre-visit intake, care navigation, post-visit care plans, patient monitoring, and more. We're fresh off our Series A backed by Tier 1 investors like Madrona, General Catalyst, and Optum Ventures. Our work is validated with leading academic medical institutions. Our agents have reached 3M+ patient encounters and are on track to 10x this year. About this role As a Sales Engineer at Amigo, you'll be the technical imagination behind every deal. You'll hack together compelling POCs, live demos, and experimental AI experiences that show prospects what's possible—not just what exists today. You're the person who takes a vague customer problem, disappears for a few hours, and comes back with a working prototype that makes the room say "holy shit." This role exists so our Applied AI Engineers can stay focused on production deployments and knowledge consolidation. You own the pre-sales technical surface: scoping what's possible, building proof-of-concept agents, running technical discovery, and making the product feel real before ink hits paper. You work at the intersection of sales and engineering—close enough to the product to build on it, creative enough to stretch it into new territory. This is a role for builders who get energized by innovation and experimentation. You'd rather prototype five ideas in a week than polish one for a month. You're excited by novel AI use cases and want to be the first person to explore what our platform can do in new clinical domains. What you'll do * Build rapid POCs and demo environments tailored to specific prospect workflows and clinical use cases * Partner with AEs and the sales team during technical discovery to scope what's possible and shape deal architecture * Design and deliver live technical demonstrations that translate prospect pain points into working agent experiences * Prototype experimental agent configurations that explore new use cases—pushing the boundaries of what our platform can do * Run technical deep-dives with prospect clinical, IT, and operations teams to understand integration requirements and workflow constraints * Create reusable demo assets, reference architectures, and POC templates that accelerate future sales cycles * Translate technical objections into solutions during the sales process—security, compliance, integration feasibility * Collaborate with Agent Engineers to hand off won deals cleanly, documenting POC learnings and customer expectations * Provide technical credibility in prospect conversations, bridging the gap between our platform capabilities and customer-specific needs * Feed insights from the field back to product and engineering—what prospects are asking for, what patterns emerge, where the platform should go next * Stay current on AI/LLM developments and competitor capabilities to maintain technical edge in sales conversations What we're looking for * 3+ years of experience in sales engineering, solutions engineering, or a technical pre-sales role at a SaaS or AI company * Strong hands-on coding ability—you can build a working prototype, not just talk about one. Python proficiency required * Experience with LLMs, prompt engineering, and building on AI platforms * A hacker mentality: you're fast, scrappy, and energized by building things from scratch under time pressure * Genuine excitement for AI innovation and exploring experimental use cases—you follow the space obsessively * Ability to run a room—comfortable presenting to technical and executive audiences, handling objections live, and thinking on your feet * Strong discovery skills: you ask the right questions to uncover real problems, not just stated requirements * Experience working deals alongside account executives, understanding sales cycles and buyer psychology * Clear technical communication—you can explain complex systems to non-technical stakeholders without dumbing it down * Comfort with ambiguity: prospects don't hand you clean requirements, and you thrive in that environment Nice to have * Experience in healthcare technology or regulated industries * Background as a software engineer who moved into a customer-facing role (or vice versa) * Familiarity with healthcare workflows, EHR systems, or clinical terminology * Experience building demo environments or sandbox platforms * Understanding of healthcare compliance requirements (HIPAA, SOC 2) * Track record of directly influencing deal outcomes through technical work Benefits (available to Full-Time Employees) Health & Wellness * Comprehensive health, dental, and vision insurance * Daily catered lunch and dinner * Mental health support and wellness coaching * Flexible wellness stipend for fitness, therapy, or personal growth Growth & Development * Annual learning budget for courses, books, or conferences * Conference attendance budget for professional development * Annual team offsite * Academic collaboration opportunities * Unlimited PTO Our Core Values * Patients Win, We Win If patients aren't getting better care, we haven't earned the right to scale. Every internal decision gets pressure-tested: does this make patients' lives better? If we can't draw the line, we question why we're doing it. * High Standards, High Care We hold a high bar for the team because patients are counting on us to get this right. But high standards only work with genuine investment in each other. You can take risks, admit mistakes, and challenge ideas—not despite our standards, but because of them. * Thoughtful Urgency We move fast by default, but speed without judgment is recklessness. The discipline is knowing which decisions are reversible vs. not. In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere they must be. We build the muscle to do both. * Intensely Measured We instrument patient outcomes, provider ROI, system performance, and clinical accuracy. But data without action is surveillance. Every metric should have an owner, a threshold, and a response plan. If we're measuring something but never acting on it, we stop measuring it. Who Builds With Us * Low ego: Politics and territory don't interest you. The best ideas win, regardless of who has them. * Direct: You say the hard thing, challenge ideas openly, and commit fully once decided. * High agency: You thrive on trust rather than instruction. When you see something is broken, you fix it. You don’t file tickets and wait for someone else. * Bar of excellence: You hold yourself to a bar most people wouldn't, and you want teammates who do the same. * Skeptical: You push back on rules that don’t make sense and question assumptions that haven’t earned their place. Compensation Range: $170K - $200K

Job Description Product Engineer - New York City (Hybrid - 3 days in Office) The company is building agentic AI tools to transform administrative workflows at healthcare organizations. We've started with home health, where we help agencies reduce administrative burden, get paid faster, and focus more on patient care — not paperwork. Our platform automates workflows like prior auth, eligibility checks, and benefit verification by integrating deeply into providers' operations and systems. We're a fast-moving, founder-led startup backed by top-tier investors and built by a team with deep experience in healthcare, operations, and applied AI. About the Role We're hiring a hands-on Product Lead Engineer who will own an entire slice of our AI platform. You'll pair your product intuition with engineering chops to design and ship automation in one of our critical healthcare domains, such as accounts receivable. You'll partner daily with our engineers and RCM subject-matter experts to translate real-world edge cases into clear specs and measurable wins. We expect the right candidate to evolve from this role into a full-fledged Director of Product Engineering with responsibility for their healthcare domain of ownership. Responsibilities End-to-End Automation Vision You connect the dots from clinician note to paid claim • Map user journey flow and turn it into a clear product roadmap, • Define success metrics and set OKRs around them You translate ideas into shipped products that move numbers • Lead discovery sessions, quick prototypes, and spec writing for product workflows (e.g., voice capture workflow for Voice Scribe product), • Pair with engineering teams to choose the right models, rules, or APIs You keep the system accurate, secure, and always learning • Instrument live dashboards for accuracy, latency, and cash-flow KPIs; investigate outliers and ship rapid fixes, • Build human-in-the-loop reviews where needed, feeding every approve/edit/reject back into model or rule tuning, • Data-driven mindset—you monitor accuracy, denial impact, and cycle time, then iterate rapidly to lift the numbers, • Clear communicator who can interview coders, present trade-offs to leadership, and document decisions for engineers, • Security & privacy savvy, designing features that protect PHI and withstand payer or regulatory audits Infra/Ops: AWS, Terraform, Docker, Datadog, Sentry, Modal, Frontend: Next JS, React, Posthog, Amplify AWS, Backend: FastAPI, Pydantic, PostgreSQL

Job DescriptionProduct Engineer / Product Lead Engineer AI Automation Platform | Healthcare Operations | New York Hybrid About the Company We are representing a fast-moving, founder-led AI startup building automation software for complex healthcare operations. The company is using applied AI and workflow automation to reduce administrative burden across provider organizations, helping teams spend less time on paperwork and more time on patient care. The platform integrates deeply into operational systems and automates complex processes such as eligibility checks, prior authorization, benefits verification, revenue cycle workflows, and related administrative tasks. This is an opportunity to join an early, high-caliber team building mission-critical AI products in one of the largest and most inefficient sectors of the US economy. The Role We are looking for a hands-on Product Engineer / Product Lead Engineer to own a meaningful product area within an AI-native healthcare automation platform. This role sits at the intersection of product, engineering, operations, and applied AI. You will work closely with engineers and healthcare workflow specialists to understand messy real-world processes, turn them into clear product specs, and ship automation that creates measurable operational impact. You should be the kind of person who can talk to users, map a workflow, define the product path, write or review technical specs, collaborate with engineering, and stay close to the data after launch. This role is ideal for someone who wants to grow into a broader product engineering leadership position over time. What You'll Do Own an end-to-end product area within a healthcare automation platform. Map complex operational workflows and turn them into clear product roadmaps. Define success metrics, track performance, and use data to guide iteration. Lead discovery sessions with users, operators, engineers, and subject-matter experts. Write clear product specs for AI-powered and workflow-driven features. Prototype, test, and ship thin, high-impact product releases. Work with engineering teams to decide when to use models, rules, APIs, workflow logic, or human-in-the-loop review. Run customer pilots, gather structured feedback, and improve the product quickly. Build dashboards and feedback loops to monitor accuracy, latency, operational efficiency, and business impact. Help design secure, compliant product workflows that protect sensitive healthcare data. Contribute to product quality, auditability, and continuous improvement. What We're Looking For 2+ years of experience building and shipping 0-to-1 products in high-performing technology environments. Strong product intuition combined with real engineering fluency. Ability to translate messy operational workflows into structured product and engineering requirements. Comfort working with AI-enabled products, automation, workflow systems, APIs, or data-heavy platforms. Strong analytical mindset; you care about metrics, accuracy, cycle time, operational impact, and measurable improvement. Clear communication skills with both technical and non-technical stakeholders. Ability to work closely with engineers, operators, and leadership in a fast-moving environment. Strong ownership mentality and comfort operating in ambiguity. Security and privacy awareness, especially around sensitive or regulated data. Interest in healthcare, operational automation, applied AI, or complex workflow products. Nice to Have Experience in healthcare technology, revenue cycle management, insurance workflows, claims, eligibility, prior authorization, or clinical operations. Experience with AI agents, LLMs, model-assisted workflows, rules engines, or human-in-the-loop automation. Familiarity with tools such as React, Next.js, FastAPI, PostgreSQL, AWS, Docker, Terraform, Datadog, Sentry, or similar technologies. Previous startup or high-growth company experience. Why This Role Is Exciting You will own meaningful product surface area from the beginning. You will build AI products that directly reduce operational waste in healthcare. You will work on real-world workflows where product quality has immediate financial and operational impact. You will have a path toward broader product engineering leadership. You will join a high-caliber team working at the intersection of healthcare, AI, operations, and infrastructure. Work Model Full-time role. Hybrid in New York, with regular in-office collaboration expected. Visa sponsorship is not available for this position.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Data Science Experts Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research and engineering teams on data science methodology, statistical inference, and modeling best practices., • Design challenging data science tasks and write accurate, well-structured analytical solutions., • Evaluate data science tasks and solutions produced by AI systems and other experts; provide clear written technical feedback to improve correctness and rigor., • Develop guidelines and evaluation frameworks to assess the quality of statistical reasoning, ML pipeline design, and data analysis approaches. Must-Have • 3+ years of professional or research experience in data science, data analysis, statistical modeling, or applied machine learning., • Ability to commit to 40 hours per week during weekdays for the duration of the engagement., • Prior experience with data annotation, labeling, evaluation, or human feedback collection., • Upload resume, • AI interview based on your resume

Job Description About impact.com impact.com is the world's leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L'Oréal, and Fanatics - rely on impact.com to power more than 350,000 partnerships that deliver measurable business results. Your Role at impact.com: We're seeking a Data Scientist to help build the next generation of recommendation systems powering our partnership automation platform. Our ecosystem connects a rich set of entities—advertisers, media publishers, creators, products, and consumers—and the relationships between them are where the real value lives. Your work will help surface the right partnerships, the right products, and the right content across this network at scale. You'll contribute to evolving our recommender stack toward a graph-based architecture leveraging semantic embeddings of entities and their relationships, applying cutting-edge techniques in representation learning, graph ML, and retrieval. The system needs to serve recommendations both in batch and real time, respond to dynamic user inputs, drive measurable value for end users across the platform, and remain reliable as the ecosystem grows. This role is hands-on and end-to-end. You'll own modeling and experimentation work for a defined area of the recommendation stack—from problem framing through productionization—in close partnership with Engineering, Product, MLOps, and Business Stakeholders. You're expected to bring (or actively develop) ML engineering chops so you can take a solution from prototype to production, and to be a relentless user of AI coding agents to multiply your output and accelerate iteration. What You'll Do: Core Responsibilities Multi-entity recommendations across the partnership graph Design, build, and evaluate recommendation models that operate across heterogeneous entities—advertisers, publishers, creators, products, and consumers—and the relationships between them. Frame problems in terms of the partnership graph and apply techniques appropriate to each surface, including candidate generation, ranking, reranking, and personalization. Graph-based modeling & semantic embeddings Contribute to evolving our architecture toward graph-based approaches: learn semantic embeddings of entities and relationships, apply graph neural networks or attention aware graph transformer models where they add value, and build representations that generalize across surfaces and use cases. Stay current with cutting-edge techniques in graph ML, representation learning, and modern recommender architectures, and bring relevant ideas into the platform. Batch and real-time serving Build models and pipelines that serve recommendations in both batch and real-time contexts. Partner with Engineering on retrieval infrastructure, vector search, feature stores, and low-latency serving patterns. Make pragmatic tradeoffs between model sophistication, latency, cost, and freshness based on the surface and use case. End-to-end ML delivery & ML engineering Own the full lifecycle of your work: data and feature design, model development, evaluation, launch, monitoring, and iteration. Build production-grade pipelines, write code that other engineers can extend, and partner with MLOps on reproducibility, observability, and reliability. Use AI coding agents aggressively to accelerate prototyping, refactoring, debugging, and shipping—we expect this to be a core part of how you work, not an occasional aid. Experimentation & measurement Design offline evaluation (offline replay, counterfactual evaluation, holdout sets) and online experiments (A/B tests, holdouts, interleaving) to quantify model impact. Apply appropriate statistical methods, recognize common pitfalls in recommender evaluation (position bias, feedback loops, selection effects), and translate results into clear recommendations for product and engineering partners. Cross-functional collaboration Work closely with Product, Engineering, and Business Stakeholders to translate platform goals into measurable model outcomes. Communicate findings, tradeoffs, and recommendations clearly to both technical and non-technical audiences. Document your work so that models, features, and decisions are understandable and reproducible by others. What You Bring: • 3+ years of experience in data science / applied ML, with a track record of shipping production models that delivered measurable user or business impact., • Strong Python and SQL skills; experience working with large-scale data and distributed compute (Spark/Databricks or equivalent)., • Hands-on experience building recommendation or ranking systems—candidate generation, learning-to-rank, retrieval and reranking, or implicit feedback modeling., • Experience with embeddings and representation learning for users, items, content, or other entities., • ML engineering capability (or strong willingness and demonstrated ability to develop it): you can build, ship, and maintain production pipelines—not just prototypes in notebooks., • Strong experimentation skills: designing and analyzing A/B tests, interpreting results, and communicating findings to stakeholders., • Relentless user of AI coding agents in your day-to-day workflow, with a clear sense of where they accelerate you and where they don't., • Insatiable curiosity about new techniques, architectures, and tools—and a track record of teaching yourself things quickly. You read papers, try new tools, and bring ideas back to the team., • Strong problem-solving instincts and the ability to operate with growing autonomy in ambiguous, evolving spaces.Preferred / Nice to have, • Experience with graph-based ML: graph neural networks (KGAT, transformers or similar), graph-aware retrieval, or knowledge graph embeddings., • Experience with modern deep learning recommender architectures (two-tower, sequence/transformer-based recommenders, multi-task ranking)., • Familiarity with vector search and vector databases (FAISS, ScaNN, Vespa, Milvus, or similar) and approximate nearest neighbor methods., • Experience with real-time ML serving, feature stores (Feast, Tecton, or equivalent), and low-latency inference patterns., • Exposure to contextual bandits, reinforcement learning, or off-policy evaluation in recommendation settings., • Familiarity with PyTorch/TensorFlow and PyTorch Geometric / DGL for graph workloads., • Familiarity with GCP (Vertex AI, BigQuery, Cloud Run) and/or mature MLOps practices (CI/CD for ML, monitoring, drift detection)., • Experience in adtech, martech, e-commerce, or two-sided/multi-sided marketplace recommendations.What Sets You Apart, • You think in terms of user and business outcomes, not just model metrics, and you connect modeling choices to real value delivered through the platform., • You're rigorous about measurement but pragmatic about shipping—able to deliver MVPs and iteratively evolve them into durable production systems., • You're a relentless learner. New papers, new tools, new architectures—you find them, try them, and figure out where they fit. You don't wait to be told what to learn., • You use AI coding agents like a power user: they're a force multiplier in your hands, not a crutch., • You have engineering instincts—you care about code quality, system design, and operability, not just model performance., • You're comfortable with messy data, noisy feedback, edge cases, and ambiguous problem spaces, and you excel at iterative improvement. *This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Benefits and Perks: At impact.com, we believe that when you're happy and fulfilled, you do your best work. That's why we've built a benefits package that supports your well-being, growth, and work-life balance. • Medical, Dental, and Vision insurance, • Office-only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled, • Flexible spending accounts and 401(k), • Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life., • Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health., • A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval., • Investing in Your Growth: We're committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses., • Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver., • Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. impact.com is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors. #LI_NewYork

Job Description Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves - one that behaves like a doctor in the family. About the role: Oscar's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product. As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you'll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions. This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight. You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process. Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: • Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions, • Own projects end-to-end, including problem definition, implementation, validation, and iteration, • Deliver high-quality analytical and modeling outputs with limited manager oversight, • Collaborate closely with data science peers and cross-functional partners across business units, • Help ensure data science processes and outputs align with broader team strategies and roadmaps, • Provide guidance or informal mentorship to junior data scientists or analysts when needed, • 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both), • 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data, • Master's degree in a quantitative or technical field, • Knowledge of or previous work experience in health care or health insurance, • Experience mentoring or supporting junior team members At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are seeking an exceptional Data Scientist II to join our Central Data team. This role will report to the Director, Data Science & Analytics. This role is critical to shaping Garner's Product & Growth strategy - from evaluating the impact of our products to building models that drive engagement. You will collaborate with data, product & engineering to improve the effectiveness of Garner's member facing product – e.g., answering questions like, "what features of our product drive engagement?", "What is the best time of day and channel to outreach to members?", or "What data concepts do we need to build out to improve our understanding of what drives someone to engage with Garner?" Your work will directly impact our member-facing products and inform strategic product decisions. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Identify and measure success of product efforts through goal setting, AB testing, forecasting, and monitoring of key product metrics to understand trends, • Own projects end to end including problem definition, implementation, validation, & iteration, • Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions, including AI & machine learning models, • Collaborate cross-functionally with data scientists, product leaders, engineering & operations teams to shape how we define product & member engagement metrics, apply statistical rules, and model member behavior, • Synthesize & present your work to Garner leadership to drive company level decisions, • Contribute to improving data science practices, tooling, and documentationWhat you will bring to the team:, • 2+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both), • 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data, • 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing, • Excellent verbal and written communication skills, with ability to present information and analysis results effectively, • A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders, • A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success, ideally in a startup environment Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target salary range for this position is $158,000 - $175,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at .

Job DescriptionOur Mission Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™ Our Values Take the Lead We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down. Move Fast We have a bias for action and urgency. Something that could be done tomorrow would be better if done today. Better Together We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate. Real Talk We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect Team Tinder to do the same. Safety First We act with integrity, transparency, and consistency so people feel safe—whether they're swiping, matching, or working alongside us. Spark Fun We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters. The Role: Tinder brings people together. With tens of millions of users and a presence in every country on earth, our reach is expansive and rapidly growing. As a Product Analyst on the Integrity team, you will leverage data and automation to help Tinder solve impactful product and engineering problems such as understanding the impact of our user facing features, and creating metrics to better quantify the user experience. Our team provides Tinder with quantification and understanding of intent, behavior, value, and the potentially complicated ways in which they all interrelate. You will develop frameworks and models for how data should be leveraged in decision making and be a key stakeholder in delivering quantitative tools. An effective Product Analyst at Tinder must have a passion and aptitude for turning sophisticated problems into concrete hypotheses that can be answered through meticulous data analysis and A/B testing. You must be able to disseminate findings and recommendations to a variety of partners across the organization via presentations, reports, and dashboards. In this role, your insights will influence the performance of our business, the experience of our members, and the direction of analytics at Tinder. Where you’ll work: This is a hybrid role and requires in-office collaboration three times per week. This is a hybrid role and requires in-office collaboration three times per week in NYC. You’ll need: * Bachelor’s degree or equivalent in a quantitative field, Master’s degree or PhD with a social science background preferred. * 1-2 years of professional working experience in Data Science and/or analytics preferred. * Experience with SQL and data visualization tools (e.g. Tableau or Mode) is a plus, not required. * Familiarity with scripting languages (e.g., Python or R) and applied statistical methods; experience with A/B testing is a plus. * Exposure to causal inference concepts or methods is a plus. * Ability to develop a nuanced business understanding, testable hypotheses, and significant findings from data. * Eagerness to identify and explore new product opportunities, potential improvements to our data infrastructure, and unanswered questions about member behavior. * Comfort using descriptive and inferential statistics. * Curiosity of how things work, from both a business and technical perspective. * A collaborative growth mindset with a dedication to community-based projects and partnerships. As a full-time employee, you’ll enjoy: * Unlimited PTO (with no waiting period), 10 annual Wellness Days * Time off to volunteer and charitable donations matching * Comprehensive health, vision, and dental coverage * 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP) * 100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation * Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual stipend for your professional development * Investment in your wellness: access to mental health support via Modern Health, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy * Free premium subscriptions for several Match Group apps – including Tinder Platinum! The salary range for this position is $93,500 - $110,000. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in NYC. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. Commitment to Inclusion At Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly. #Tinder .

Job DescriptionABOUT MAISON L’OCCITANE EN PROVENCEBorn of a simple gesture in 1976, L’Occitane en Provence reveals the living power of flora, where the light of the sun meets the richness of the earth. With advanced expertise, we turn these natural treasures into sensorial, efficient experiences, as sustainable as possible and profoundly inspired by Haute Provencal nature. Our culture is built through everyday moments, how we behave, make decisions and show up for each other. With Trust as our foundation, Curiosity as our compass, Excellence as our standard, we create lasting Impact for the people around us and our planet. YOUR ROLEAs Senior Manager, Demand Planning (Brick & Mortar & E‑commerce), you are accountable for owning the end‑to‑end demand planning process for full‑price retail boutiques and E‑commerce across the United States and Canada. You are responsible for developing high‑accuracy sell‑through forecasts at the SKU‑by‑store (or store‑cluster) level using Anaplan to support sales targets while maintaining disciplined inventory levels. You will serve as a key planning partner to Retail Operations, Merchandising, Marketing, Supply Planning, Allocation, and FP&A, translating demand signals into executable supply plans and aligned financial outcomes. This role requires strong analytical rigor, cross‑functional influence, and hands‑on ownership of demand performance in a fast‑paced retail environment. PROFILE • Commercially minded, analytically driven leader with strong ownership of forecast accuracy and inventory outcomes, • 5–7 years of progressive experience in brick‑and‑mortar retail demand planning; omnichannel or E‑commerce exposure preferred, • Bachelor’s degree in Supply Chain, Business, Analytics, Engineering, Economics, or a related field., • Proven experience working within a formal S&OP environment, • Advanced Anaplan demand planning user (PlanIQ, UX, workflows)., • Proficiency in Excel; Power BI and SQL are a plus., • Knowledge of SAP a plus, • Demonstrated experience forecasting at SKU‑by‑store or store‑cluster level, • Strong business acumen with the ability to balance sales growth, service levels, and inventory health, • Advanced understanding of retail demand drivers, seasonality, promotions, and product launches, • Excellent communication and stakeholder management skills across cross‑functional teams, • Detail‑oriented with strong organizational and prioritization capabilities, • Highly analytical and data‑driven, with the ability to translate insights into action, • Proactive, resilient, and energized by fast‑paced, performance‑driven environments, • Demand Forecasting & Ownership, • Own and maintain a rolling sell‑through forecast for full‑price brick‑and‑mortar boutiques and E‑commerce across the U.S. and Canada using Anaplan, • Build demand plans from statistical baselines, layering in seasonality, traffic trends, promotions, events, weather, and store or channel changes, • Monitor forecast accuracy and bias, driving continuous improvement through root‑cause analysis, • Translate demand signals into clear inventory requirements to support sales objectives, • New Product and Promotion Planning, • Lead demand forecasting for new product launches, collections, and kits., • Quantify promotional and event lifts and improve promotion forecast accuracy., • Conduct post-launch and post-event analyses to refine future planning assumptions., • S&OP & Cross‑Functional Alignment, • Lead the Retail full price and E-commerce Demand Review as part of the monthly S&OP cycle., • Partner with FP&A to align demand plans with sales, budget, and OTB targets., • Provide a clean demand hand-off to Supply Planning and Allocation teams., • Retail & E‑commerce Collaboration, • Partner with Retail Operations on store openings, closures, and assortment or fleet changes, • Collaborate with Merchandising and Marketing on campaign calendars and go‑to‑market initiatives, • Ensure demand plans reflect channel‑specific strategies and operational constraints, • Performance Management & Continuous Improvement, • Track and report KPIs including forecast accuracy, forecast bias, service levels, and inventory health, • Identify opportunities to improve demand planning processes, governance, and Anaplan utilization, • Champion best practices in demand planning across retail and E‑commerce, • Comprehensive benefits package, • Annual discretionary corporate incentive bonus, • Competitive paid parental leave, • Generous employee discounts on our products L'Occitane's Privacy Statement United States Applicants Only: Employee Rights FMLA: Posters FMLA Special Rules for Returning Military Members (USERRA) Powered by JazzHR RZVu02o0lW

Job DescriptionSenior Product Manager, Life Sciences Data Products (Applied AI) Location: U.S. (Remote-first) with optional hub-based hybrid Employment: Full-time Level: Senior IC (high ownership) Start: ASAP / Flexible Beacon Talent is leading a confidential search for a venture-backed company building an applied AI + data platform that supports life sciences teams (biopharma, medtech, and research organizations) with secure access to real-world clinical datasets and tooling that accelerates discovery and development while maintaining high standards for privacy, quality, and responsible use. The Role As Senior Product Manager, Life Sciences Data Products, you will own the strategy and execution for a portfolio of data-driven products used by life sciences customers to find, access, evaluate, and operationalize complex clinical datasets for R&D and clinical development workflows. This is a hands-on, high-agency role—ideal for a PM who loves ambiguous problem spaces, can translate market signals into crisp product bets, and can partner deeply with engineering and data teams to ship scalable product capabilities. What You’ll Own * Product vision & roadmap: Define the life sciences product strategy, identify the highest-leverage problems, and translate them into a sequenced roadmap with measurable outcomes. * Discovery & validation: Run customer interviews, workflow mapping, and opportunity sizing to determine what to build, what to standardize, and what to avoid as one-off services. * Scalable data products: Build repeatable “productized” capabilities that improve dataset usability, governance, search/retrieval, cohort building, and downstream analytics readiness. * AI-assisted workflows: Partner with technical teams to design automation that reduces friction in data access and analysis (e.g., metadata enrichment, quality signals, dataset packaging, evaluation tooling). * Execution leadership: Write requirements, define success metrics, manage tradeoffs, and drive delivery from concept through launch—iterating based on usage and customer outcomes. * Cross-functional alignment: Collaborate closely with go-to-market partners to ensure positioning, packaging, and feedback loops inform the roadmap without turning the product into custom projects. * Market awareness: Stay current on life sciences R&D and clinical development trends and incorporate them into differentiation and product choices. What We’re Looking For Required * 5+ years building data products or platforms for life sciences and/or healthcare customers. * Strong product discovery muscle: customer interviews, problem framing, prioritization, and roadmap ownership. * Technical fluency across data infrastructure, APIs, pipelines, and working concepts in ML-enabled products (no need to code). * Track record partnering with engineering and data teams to deliver complex, high-impact product work. * Excellent communication—credible with technical teams and clear with non-technical stakeholders. * Comfort operating in a fast-moving environment with evolving inputs and limited process. Nice to have * 0→1 product experience or taking early products to scale in a regulated domain. * UX/product design sensibility with strong intuition for end-user workflows. * Prior experience in analytics, data science, or experimentation. * Familiarity with privacy, governance, and quality frameworks for sensitive datasets. Why This Role * Direct ownership of a high-impact roadmap at the intersection of life sciences + data platforms + applied AI * Meaningful influence over what becomes productized vs. service-heavy * Close collaboration with technical leadership and high visibility across the company Compensation Competitive base + equity + benefits. (Exact range varies by level and location and will be shared during the process.)

Job DescriptionAbout Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.Salary Range: US$ 140,000-190,000/yearRole Overview We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You’ll work across the ML lifecycle—from problem framing and data exploration to model development, evaluation, deployment, and monitoring—often in partnership with client stakeholders and internal delivery teams. You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. Key Responsibilities • Problem Framing & Stakeholder Partnership, • Translate business questions into ML problem statements (classification, regression, time series forecasting, clustering, anomaly detection, recommendation, etc.)., • Collaborate with stakeholders to define success metrics, evaluation plans, and practical constraints (latency, interpretability, cost, data availability)., • Data Analysis & Feature Engineering, • Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses., • Perform data profiling, missingness analysis, leakage checks, and exploratory analysis to guide modeling choices., • Build robust feature pipelines (aggregation, encoding, scaling, embeddings where appropriate) and document assumptions., • Model Development (Core ML), • Train and tune supervised learning models for tabular data (e.g., logistic/linear models, tree-based methods, gradient boosting such as XGBoost/LightGBM/CatBoost, and neural nets for structured data)., • Apply strong tabular modeling practices: handling missing data, categorical encoding, leakage prevention, class imbalance strategies, calibration, and robust cross-validation., • Build time series models (statistical and ML/DL approaches) and validate with proper backtesting., • Apply clustering and segmentation techniques (k-means, hierarchical, DBSCAN, Gaussian mixtures) and evaluate stability and usefulness., • Apply statistics in practice (hypothesis testing, confidence intervals, sampling, experiment design) to support inference and decision-making., • Deep Learning, • Build and train deep learning models using PyTorch or TensorFlow/Keras., • Use best practices for training (regularization, calibration, class imbalance handling, reproducibility, sound train/val/test design)., • Evaluation, Explainability, and Iteration, • Choose appropriate metrics (AUC/F1/PR, RMSE/MAE/MAPE, calibration, lift, and business KPIs) and create evaluation reports., • Perform error analysis and interpretation (feature importance/SHAP, cohort slicing) and iterate based on evidence., • Productionization & MLOps (Project-Dependent), • Package models for deployment (batch scoring pipelines or real-time APIs) and collaborate with engineers on integration., • Implement practical MLOps: versioning, reproducible training, automated evaluation, monitoring for drift/performance, and retraining plans., • Documentation & Communication, • Communicate tradeoffs and recommendations clearly to technical and non-technical stakeholders., • Create documentation and lightweight demos that make results actionable.Success in This Role Looks Like, • You deliver models that perform well and move business metrics (revenue lift, cost reduction, risk reduction, improved forecast accuracy, operational efficiency)., • Your work is reproducible and production-aware: clear data lineage, robust evaluation, and a credible path to deployment/monitoring., • Stakeholders trust your judgment in selecting methods and communicating uncertainty honestly.Required Qualifications, • 3–8 years of experience in data science, machine learning engineering, or applied ML (mid-to-senior)., • Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent)., • Strong SQL skills (joins, window functions, aggregation, performance awareness)., • Solid foundation in statistics (hypothesis testing, uncertainty, bias/variance, sampling) and practical experimentation mindset., • Hands-on experience across multiple model types, including:, • Classification & regression, • Time series forecasting, • Clustering/segmentation, • Experience with deep learning in PyTorch or TensorFlow/Keras., • Strong problem-solving skills: ability to work with ambiguous goals and messy data., • Clear communication skills and ability to translate analysis into decisions.Preferred Qualifications, • Experience with Databricks for applied ML (e.g., Spark, Delta Lake, MLflow, Databricks Jobs/Workflows)., • Experience deploying models to production (APIs, batch pipelines) and maintaining them over time (monitoring, retraining)., • Experience with orchestration tools (Airflow, Prefect, Dagster) and modern data stacks (Snowflake/BigQuery/Redshift/Databricks)., • Experience with cloud platforms (AWS/GCP/Azure/IBM) and containerization (Docker)., • Experience with responsible AI and governance best practices (privacy/PII handling, auditability, access controls)., • Cloud certifications: AWS, Google Cloud, Microsoft Azure, or IBM (data/AI/ML tracks), • Databricks certifications (Data Scientist, Data Engineer, or related)Nice-to-Have, • Causal inference experience (e.g., quasi-experimental methods, propensity scores, uplift/heterogeneous treatment effects, experimentation beyond A/B tests)., • Agentic development experience: designing and evaluating agentic workflows (tool use, planning, memory/state, guardrails) and integrating them into products., • Deep familiarity with agentic coding tools and workflows for accelerated product development (e.g., AI-assisted IDEs, code agents, automated testing/refactoring, repo-aware assistants), including strong judgment on quality, security, and maintainability.Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation. I0GDC3XJwj

Job Description Strong Java Developers and Leads, that have strong problem-solving skills. Payment Tech Software Engineer (Java): As an experienced member of our Software Engineering group, we look for engineers who are passionate about solving business problems through innovation and strong engineering practices. In this role, you will apply deep technical expertise across the full software development lifecycle and partner closely with stakeholders to stay aligned on shared goals. We embrace a culture of experimentation and continuous improvement, and you will work in a collaborative, trusting environment that values diversity of thought and customer-focused solutions. The ideal candidate is self-motivated and proactive, with strong curiosity, ownership, and the ability to troubleshoot methodically and deliver under pressure. You have experience working in an Agile SDLC, collaborating effectively within your team, and executing across cross-team dependencies with technology leads, architects, production management, business analysts, and QA. Responsibilities: Deliver creative software solutions across design, development, and troubleshooting; think beyond routine approaches to break down technical problems. Develop secure, high-quality production code; review and debug code written by others. Perform code reviews and partner with QA to develop and review test scenarios. Drive delivery of key milestones aligned to a clear roadmap and requirements. Qualifications (required): BS/BA degree or equivalent experience (Computer Science preferred). Formal training or certification in Software Engineering with 5+ years of applied experience. 8+ years of software development experience. Ability to translate functional requirements into technical designs and engineering requirements. Strong experience with Core Java, object-oriented design, RDBMS (Oracle), SQL, Spring, and No SQL. Strong understanding of Agile methodology and use of SDLC tooling to improve development and testing efficiency (Jira, Jenkins, Git, JUnit, Selenium, linting tools). Qualifications (preferred): Experience partnering effectively with technology teams and product owners to drive end-to-end delivery. Experience planning and managing Scrum teams, including facilitating Agile ceremonies, prioritizing backlogs, and enabling team delivery. Experience building secure, highly available, resilient, scalable systems leveraging clustering and load balancing across web/app servers and messaging systems (Kafka). Practical cloud-native experience. Container-based development and orchestration; microservices frameworks and tools (Docker, Kubernetes, Spring Boot, Swagger). Cloud and container-based development experience (e.g., Gaia, Kubernetes, AWS). Reactive programming experience (e.g., Spring Flux). Streaming/aggregation frameworks (Storm, Spark). NoSQL / Big Data stores (Cassandra, Elasticsearch, Cloudera stack, HBase); experience optimizing Cassandra is a plus. Banking and payments domain experience.

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We're SeekingQvest.US is seeking an experienced Data & Analytics Senior Consultant to join our growing data practice. In this role, you will participate in projects that drive better data-based decision making for our clients, involving strategy and planning, data management, reporting, and data visualization. We are looking for a hands-on technical data consultant who can successfully work with client projects, teams, and stakeholders.What You'll Do • Participate on project teams through all core project phases, including project setup, requirements gathering, design, development, testing and deployment, • Perform hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks, • Be the expert in various client meetings such as stakeholder interviews & workshops, • Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication, • Proactively identify risks, issues and provide mitigation strategies, • Build and maintain strong client relationships, • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancementWhat You'll Bring, • Eagerness to participate in a best-in-class data practice, • 3+ years Project Management, Process, Implementation, and SDLC experience working closely with data professionals in an Agile environment, • Experience with client-facing activities such as requirements gathering, meeting facilitation & presentation creation, and deliverable review/approval sessions, • 5+ years in a consulting role or a data-focused role and strong experience with SQL in particular in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar, • Experience designing and building relational database and/or data warehouses, • Hands-on experience with business driven / self-service BI, using tools similar to Tableau, PowerBI, Looker, etc.Preferred Additional Experience, • Experience in Media & Entertainment and/or Consumer Products industries, • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC), • Cloud computing experience, whether with AWS or other vendors, • Ability to automate data-related tasks using scripts and programming languages, • Ability to profile, explore, and analyze data to identify common data patterns, • Ability to present data solutions to business stakeholders with clear business acumen, • Bachelor’s degree in engineering, information systems, computer science, business administration, or other related analytics fields

Job Description Infrastructure Engineer (AWS / Terraform / ECS / Data Platforms) Location: New York, NY (Onsite 3–5 days/week) Compensation: $180,000 - $235,000 + equity About Our Client Our client is building AI-native infrastructure to automate the administrative backbone of healthcare—starting with home health. Their platform helps agencies reduce overhead, accelerate payments, and spend more time on care (not paperwork). The product integrates directly into provider operations and automates complex workflows like insurance verification, prior authorization, and billing using agentic AI. Backed by top-tier investors, the team blends deep expertise across healthcare operations, applied AI, and workflow automation. The Role Our client is hiring their first Infrastructure Engineer to build and scale the foundational systems powering their AI automation platform. You will own critical infrastructure supporting production workloads across intake, clinical documentation, and revenue cycle management—ensuring reliability, security, performance, and compliance as the company scales from one client to dozens. This is a systems-oriented role with broad scope. You'll work across container orchestration, data systems, deployment automation, and observability. Over time, you'll help set the technical vision for the infrastructure layer and define operational best practices that allow engineering to ship faster and more reliably. What You'll Do • Design, build, and maintain scalable cloud infrastructure on AWS, including ECS, Postgres, Redshift, and supporting data pipelines for production workloads, • Own CI/CD pipelines and deployment automation to enable fast, safe releases (testing, rollbacks, zero-downtime deployments), • Implement and manage infrastructure-as-code using Terraform, ensuring consistency and version control across environments, • Build robust observability (metrics/logs/traces/alerting) using tools like Datadog, including cost and performance monitoring, • Scale and optimize Postgres/Redshift to handle growing data volumes while maintaining performance and data integrity, • Drive security and compliance at the infrastructure layer: IAM policies, network controls, audit logging, and HIPAA-compliant data handling Required Qualifications • 4+ years of infrastructure, platform, or SRE-adjacent engineering experience building and scaling production systems, • Strong hands-on experience with AWS and Terraform (or comparable IaC), • Experience with AWS primitives including ECS, RDS/Postgres, Redshift, IAM, VPC, and related services, • Strong experience building and maintaining CI/CD pipelines, automated testing, and deployment automation, • Hands-on experience with observability tools (especially Datadog) including monitoring strategy and alerting discipline, • Familiarity with Redshift or modern warehousing patterns for analytics/reporting workloads, • Experience in healthcare or other regulated industries requiring strict security, privacy, and compliance, • Familiarity with data pipeline orchestration tools and ETL/ELT patterns, • First infrastructure hire with real ownership and architectural influence, • High-impact mission: reduce administrative burden so providers can focus on patient care, • Work at the intersection of cloud infrastructure + data systems + AI-driven workflow automation, • Build compliant, resilient infrastructure that scales with real healthcare operators

Job DescriptionAbout Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.Salary Range: US$ 140,000-170,000/year Note: We are not considering OTP STEM visas neither H1B support for this roleRole Overview We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You’ll work across the ML lifecycle—from problem framing and data exploration to model development, evaluation, deployment, and monitoring—often in partnership with client stakeholders and internal delivery teams. You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. Key Responsibilities • Problem Framing & Stakeholder Partnership, • Translate business questions into ML problem statements (classification, regression, time series forecasting, clustering, anomaly detection, recommendation, etc.)., • Collaborate with stakeholders to define success metrics, evaluation plans, and practical constraints (latency, interpretability, cost, data availability)., • Data Analysis & Feature Engineering, • Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses., • Perform data profiling, missingness analysis, leakage checks, and exploratory analysis to guide modeling choices., • Build robust feature pipelines (aggregation, encoding, scaling, embeddings where appropriate) and document assumptions., • Model Development (Core ML), • Train and tune supervised learning models for tabular data (e.g., logistic/linear models, tree-based methods, gradient boosting such as XGBoost/LightGBM/CatBoost, and neural nets for structured data)., • Apply strong tabular modeling practices: handling missing data, categorical encoding, leakage prevention, class imbalance strategies, calibration, and robust cross-validation., • Build time series models (statistical and ML/DL approaches) and validate with proper backtesting., • Apply clustering and segmentation techniques (k-means, hierarchical, DBSCAN, Gaussian mixtures) and evaluate stability and usefulness., • Apply statistics in practice (hypothesis testing, confidence intervals, sampling, experiment design) to support inference and decision-making., • Deep Learning, • Build and train deep learning models using PyTorch or TensorFlow/Keras., • Use best practices for training (regularization, calibration, class imbalance handling, reproducibility, sound train/val/test design)., • Evaluation, Explainability, and Iteration, • Choose appropriate metrics (AUC/F1/PR, RMSE/MAE/MAPE, calibration, lift, and business KPIs) and create evaluation reports., • Perform error analysis and interpretation (feature importance/SHAP, cohort slicing) and iterate based on evidence., • Productionization & MLOps (Project-Dependent), • Package models for deployment (batch scoring pipelines or real-time APIs) and collaborate with engineers on integration., • Implement practical MLOps: versioning, reproducible training, automated evaluation, monitoring for drift/performance, and retraining plans., • Documentation & Communication, • Communicate tradeoffs and recommendations clearly to technical and non-technical stakeholders., • Create documentation and lightweight demos that make results actionable.Success in This Role Looks Like, • You deliver models that perform well and move business metrics (revenue lift, cost reduction, risk reduction, improved forecast accuracy, operational efficiency)., • Your work is reproducible and production-aware: clear data lineage, robust evaluation, and a credible path to deployment/monitoring., • Stakeholders trust your judgment in selecting methods and communicating uncertainty honestly.Required Qualifications, • 3–8 years of experience in data science, machine learning engineering, or applied ML (mid-to-senior)., • Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent)., • Strong SQL skills (joins, window functions, aggregation, performance awareness)., • Solid foundation in statistics (hypothesis testing, uncertainty, bias/variance, sampling) and practical experimentation mindset., • Hands-on experience across multiple model types, including:, • Classification & regression, • Time series forecasting, • Clustering/segmentation, • Experience with deep learning in PyTorch or TensorFlow/Keras., • Strong problem-solving skills: ability to work with ambiguous goals and messy data., • Clear communication skills and ability to translate analysis into decisions.Preferred Qualifications, • Experience with Databricks for applied ML (e.g., Spark, Delta Lake, MLflow, Databricks Jobs/Workflows)., • Experience deploying models to production (APIs, batch pipelines) and maintaining them over time (monitoring, retraining)., • Experience with orchestration tools (Airflow, Prefect, Dagster) and modern data stacks (Snowflake/BigQuery/Redshift/Databricks)., • Experience with cloud platforms (AWS/GCP/Azure/IBM) and containerization (Docker)., • Experience with responsible AI and governance best practices (privacy/PII handling, auditability, access controls)., • Cloud certifications: AWS, Google Cloud, Microsoft Azure, or IBM (data/AI/ML tracks), • Databricks certifications (Data Scientist, Data Engineer, or related)Nice-to-Have, • Causal inference experience (e.g., quasi-experimental methods, propensity scores, uplift/heterogeneous treatment effects, experimentation beyond A/B tests)., • Agentic development experience: designing and evaluating agentic workflows (tool use, planning, memory/state, guardrails) and integrating them into products., • Deep familiarity with agentic coding tools and workflows for accelerated product development (e.g., AI-assisted IDEs, code agents, automated testing/refactoring, repo-aware assistants), including strong judgment on quality, security, and maintainability.Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation. pYO5KHk85I

Job Description Arlo is rebuilding health insurance from the ground up using AI. The healthcare experience today is expensive, confusing, and often so frustrating that people delay the care they need. We’re changing that by reimagining what a health plan should be: a proactive partner that enables health rather than denying it. Our AI-native platform delivers continuous, personalized support for members—helping them navigate benefits, schedule appointments, access high-quality care, and avoid financial fear. Powered by the industry’s most advanced risk-pricing engine, Arlo is already scaling fast: we’ve grown to $XXXM in premiums, cover tens of thousands of people, and see accelerating demand across brokers, employers, and partners. Backed by Upfront Ventures, 8VC, and General Catalyst, our team combines deep industry expertise (Palantir, YC) with the ambition to modernize a $1T market. About the Role As an Applied AI Engineer, you will own the end-to-end development of core product experiences that redefine how our members interact with their healthcare. * Architect and ship new AI-native features that serve tens of thousands of members. * Build and deploy sophisticated LLM-powered agents that autonomously reason through complex healthcare workflows. * Evolve our core AI stack by advancing our capabilities in prompt orchestration, context engineering, retrieval systems, and evaluations. What You Will Do To give you a sense of the impact you'll have, here are some initial projects you could own: * AI-Powered Triage: Develop an intelligent experience that helps patients understand their symptoms and guides them to the right setting of care (ER, Urgent Care, or PCP). You’ll prevent costly, unnecessary visits and directly save members thousands in out-of-pocket costs. * An Infinitely Scalable Care Partner: Build a conversational AI to help patients understand their health, from decoding lab results to clarifying treatment plans. You'll give members the 24/7 support and infinite patience that the traditional system simply cannot offer. * Proactive Health Engine: Pioneer an outreach tool that analyzes claims data to send personalized, timely campaigns for preventive screenings and medication adherence. You’ll transform healthcare from a system of static, soulless emails into one of dynamic, personal engagement. What We’re Looking For This role is a great fit if you are a product-minded engineer who thrives on building with the latest AI technology. * Demonstrated experience shipping full-stack AI products, from backend infrastructure (Python, Postgres) to production LLM applications. * A strong product intuition and deep intellectual curiosity, with a passion for building 0-to-1 experiences in a fast-paced startup environment. You own problems end-to-end. * A pragmatic approach to LLM safety and reliability, with hands-on experience implementing guardrails, red-teaming, and creating evaluation frameworks to manage trade-offs between performance, cost, and latency. * Fluency with AI-assisted engineering tools (e.g., Cursor, Copilot) to accelerate your development workflow. Nice to Haves * Experience with our front-end stack (TypeScript, React). * Familiarity with deploying AI workloads on a major cloud platform (AWS, etc.). Target Compensation Range $210,000 – $230,000 + equity Why Join Arlo: * High ownership: You’ll get real responsibility from day one—our high-trust team empowers you to run with big problems and shape core parts of the company. * Join an important mission: Your work directly influences how people access care and improves lives at scale. * Growth & expansion: We’re moving fast, and as we grow, your scope will grow with us—new challenges, bigger opportunities, and rapid career velocity. * Apply AI to a problem that matters: Instead of optimizing ads or cutting labor costs, you’ll use AI to fundamentally reimagine how people get healthcare. * High pace, high collaboration: We operate with velocity, first-principles thinking, and a team that works closely, openly, and with ambition. Exact compensation inclusive of salary and any bonuses is determined based on a number of factors including experience and skill level, location, and qualifications which are assessed during the interview process. Arlo is an equal opportunity employer. We do not discriminate based on age, race, color, creed or religion, national origin, sexual orientation, gender identity or expression, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, status as a victim of domestic violence, or arrest or conviction record, as defined under New York State law.

Job Description This is a remote position. Our client, a mid-sized tech-driven commercial MGA and insurance wholesaler in the US, is seeking an AI Process Optimization Lead to drive real, measurable efficiency gains across the business. This role sits at the intersection of operations and AI. You’ll embed directly with teams (underwriting, claims, operations, finance), map workflows end-to-end, identify inefficiencies, and apply AI to improve speed, cost, and output. You’ll build and test solutions hands-on - from quick MVPs to AI-enabled workflows - and partner with product/engineering when scaling is needed. This is not a strategy-only role. You’ll be expected to move quickly, build, iterate, and deliver tangible results. The ideal candidate understands both business processes and AI well enough to translate problems into practical, high-impact solutions. Employment Type: Full-Time Permanent Location: MUST be physically located in the US or Ontario, Canada (Visa sponsorship is not available) What You'll Do: • Embed with business teams across the company (underwriting, claims, wholesale, audits, operations, finance, product) to deeply understand current workflows, bottlenecks, and pain points., • Map end-to-end processes and identify specific opportunities where AI can automate, augment, or accelerate work - prioritized by business impact and feasibility., • Define velocity metrics for each function (submissions reviewed/day, time-to-quote, claims processed/day, close cycle time, etc.) and set measurable productivity targets., • Design and implement AI-powered workflow solutions - using approved tools and platforms - that deliver tangible throughput improvements., • Build and maintain dashboards and reporting to track velocity metrics across functions, making progress visible to leadership on a weekly and monthly cadence., • Serve as the primary liaison between business teams and engineering - translating business needs into technical requirements and ensuring AI solutions fit real workflows., • Lead change management for AI adoption - training teams, creating documentation, driving usage, and reinforcing that productivity improvement is an ongoing operating discipline., • Evaluate and recommend AI tools and platforms for company's approved toolset, working with engineering to vet for security, compliance, and data handling requirements., • Support the AI Committee with enterprise-wide velocity reporting, tool approval recommendations, and cross-functional best practice sharing., • Identify opportunities to replicate wins across company's 12+ product verticals - a workflow improvement in commercial auto that can be applied to construction, workers comp, and beyond., • Ensure all AI process solutions meet regulatory obligations (state insurance regulations, HIPAA for workers comp, CCPA) and data governance standards. Requirements • 5+ years of experience in process improvement, business operations, or consulting - with recent 2 years focused on AI/automation-driven transformation in the insurance industry., • Demonstrated ability to map complex business processes, identify optimization opportunities, and deliver measurable improvements., • Experience with LLM-based tools and applications (ChatGPT, Claude, Copilot, or similar) for business process automation., • You must be an active, daily AI user - not someone who has read about it but someone who lives it. You have built custom AI skills and agents for your own work, incorporated third-party AI libraries and tools into your personal and professional workflows, and can demonstrate specific examples of how AI has changed the way you operate. We are looking for practitioners, not observers., • Strong proficiency with data analysis and visualization (SQL, Python, Excel, Tableau/Power BI, or similar)., • Experience defining KPIs and velocity metrics, building measurement frameworks, and driving accountability against targets., • Excellent communication and stakeholder management skills - ability to work effectively with underwriters, claims adjusters, operations staff, and C-suite executives., • Experience leading change management for technology adoption across cross-functional teams., • Self-starter who thrives in a fast-paced, growth-stage environment with ambiguity., • Bachelor's degree in Business, Engineering, Computer Science, Data Science, or a related field. Benefits • Employee Ownership Program - every eligible employee shares in the financial rewards that grow when the company grows, • Professional development opportunities, • Owner Referral Program, • Work from home reimbursement for remote/hybrid roles, • Canary emergency financial assistance program, • Comprehensive medical, dental, vision, • Life/AD&D Insurance, • Confidential, Employee Assistance Program, • Health Savings Account, includes company contribution, • Short-term disability, • Voluntary benefits - supplemental accident, critical illness, hospital insurance, • Employee discounts, • 401(k) Plan with company match contribution, • Addition Wealth Financial Wellness Program, • Various Time Off Programs, • 11 company paid holidays At Talencore, we stand against racism and discriminatory practices. We stand against violence. We proudly support and partner with organizations that lift people up so everyone can succeed and thrive, and honour our candidates' experiences, perspectives and unique identity. We are committed to continuing to make diversity, equity, and inclusion part of everything we do – from how we work with our talented candidates to how we support our clients in building their diverse workforce.

Job DescriptionApplied AI EngineerLocation: New York, NY (Hybrid – Wednesday Remote) Employment Type: Full-TimeHireNow Staffing is actively recruiting multiple seasoned, highly skilled Applied AI Engineers to join one of our valued client partners. HireNow Staffing is acting as a direct placement partner for this Applied AI Engineering opportunity within the fintech and institutional investment technology sector.Position OverviewThis position is built for engineers who thrive in fast-moving environments and enjoy building AI-powered applications that solve complex operational problems for institutional finance teams. The selected candidates will work on production-grade AI systems used by sophisticated investment organizations, transforming research, analytics, and operational workflows through modern AI infrastructure and automation.This is not a research-focused AI role. The client is seeking engineers who can build, deploy, and scale user-facing AI applications using modern LLM infrastructure, agentic frameworks, orchestration tooling, and full-stack engineering principles.Candidates must be comfortable operating in highly unstructured startup environments where ownership, execution speed, and technical depth are essential.Core Responsibilities • Build AI-powered client applications leveraging modern LLM infrastructure and orchestration frameworks, • Develop agentic workflows, automation layers, and intelligent research systems for institutional investment teams, • Design and maintain backend APIs using Python frameworks such as FastAPI, Flask, or Django, • Build responsive frontend applications using React and modern UI tooling, • Implement MCP-connected data sources, orchestration pipelines, and AI agent frameworks, • Develop ETL pipelines supporting portfolio analytics, securities data, research signals, and operational workflows, • Create scalable infrastructure supporting observability, orchestration, AI tooling, and workflow automation, • Work directly with client stakeholders to convert operational challenges into production-ready software solutions, • Support Kubernetes-based deployments across client environments, • Continuously iterate on AI products in compressed delivery cycles while maintaining production quality standards Required Qualifications (Non-Negotiable)Candidates must meet the following qualifications to be considered for interview:, • 3–8 years of experience as a Full-Stack Software Engineer or Applied AI Engineer, • Strong Python development expertise with production API experience using FastAPI, Flask, or Django, • Demonstrated experience building user-facing AI products from concept through deployment, • Hands-on experience integrating frontier LLM APIs such as Anthropic or OpenAI, • Proven experience using agentic AI tooling including MCP servers, Claude Code, Codex, LangGraph, OpenClaw, LangChain, OpenCode, or similar frameworks, • Strong understanding of agentic loop architecture, state handling, orchestration, and context management, • Experience building full-stack applications using React and backend API systems, • Comfortable operating within startup-style, highly unstructured environments, • Stable employment history with demonstrated ownership of long-term projects and product delivery, • Strong communication skills with ability to collaborate directly with technical and non-technical stakeholders Preferred Qualifications, • Prior fintech, hedge fund, institutional investment, biotech, or quantitative systems experience, • Experience building AI-powered workflow automation tools or financial intelligence platforms, • Familiarity with Kubernetes deployments and cloud infrastructure environments, • Experience working with portfolio analytics, risk systems, or data-intensive applications, • Strong understanding of data orchestration and distributed system workflows, • Experience working within high-performance engineering teams delivering products rapidly HireNow ChecklistHireNow Staffing is recruiting for Applied AI Engineers who demonstrate:, • Strong ownership mentality with proven 0-to-1 product development experience, • Deep hands-on AI implementation expertise rather than purely research-based AI backgrounds, • Strong full-stack engineering capabilities with production-level Python and React experience, • Experience building customer-facing AI applications using modern LLM infrastructure, • Ability to move quickly while maintaining software quality and operational reliability, • Clear interest or exposure to fintech, quantitative systems, or high-stakes data environments, • Stability within prior employment history and consistent technical growth, • Strong problem-solving ability within ambiguous or rapidly evolving environments HireNow DisqualifiersCandidates will not be considered if they primarily demonstrate:, • AI research, model training, fine-tuning, or optimization experience without user-facing application development, • Internal tooling-only backgrounds without production customer-facing product ownership, • Big Tech-only environments lacking startup execution and independent ownership experience, • Limited or no hands-on agentic framework implementation experience, • No direct integration experience with modern LLM APIs and orchestration tooling, • Frequent job changes, contract-heavy work history, or unstable employment backgrounds, • Limited frontend engineering capability or lack of full-stack product development experience HireNow Package, • Location: Hybrid onsite role in New York, NY (Wednesday remote schedule), • Compensation: $230,000 – $300,144 base salary depending on experience and technical depth, • Additional compensation may include prorated end-of-year bonuses ranging from $25,000 – $50,000, • Equity participation available ranging approximately 0.1% – 0.2%, • Full benefits package available, • Opportunity to work directly with elite institutional investment organizations

Job Description Mirage is an AI-native video platform that intelligently orchestrates production and editing through natural language. Our models leverage contextual awareness to execute the same creative decisions a professional editor would — dramatically improving productivity for experienced teams, while making video creation accessible to anyone. We’re an interdisciplinary team addressing some of the most difficult technical and creative challenges in generative media. As an early member of our team, you’ll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression. More about us Product (Captions by Mirage) Research (Seeing Voices, technical-white-paper) Updates (Mirage on X / twitter) TechCrunch, Forbes AI 50, Fast Company (press) Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, General Catalyst, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) Note to applicants: We review every application carefully. Please apply through the official posting only and refrain from reaching out to employees directly, as it won’t impact your candidacy. About the role We’re hiring exceptional new grad engineers to join Mirage across product engineering, backend / platform engineering, and applied AI teams. You’ll have the opportunity to work closely with a small, highly collaborative team that’s building at the frontier of generative media and agentic systems. We prioritize hiring uniquely talented, entrepreneurial, and high-agency engineers first—because engineering at Mirage isn’t narrowly defined. We work across different archetypes, and most of us span more than one, giving you the opportunity to explore and choose your path from the following areas: Backend / Platform Engineering * Design and build the systems, APIs, and infrastructure that power our products * Solve challenges in distributed systems, scaling, and performance * Integrate and operate large AI models in production * Build core platform pieces: storage, billing, observability, security Product Engineering (iOS or Web Product) * Ship end-to-end product experiences for creative workflows * Build highly polished, performant user interfaces (web or native mobile) * Push the boundaries of video, graphics, and AI-powered creation tools * Instrument, A/B test, and iterate quickly with real user data Applied AI Engineering * Build and ship AI-powered product experiences end-to-end * Work with state-of-the-art models across video, audio, image, and text * Design systems for context, reasoning, and intelligent behavior * Build evals, datasets, and tooling for improving model quality What we’re looking for * Evidence of exceptional ability: prestigious or highly selective internships, significant personal projects (apps, systems, open source, etc.), startup or founder experience (even in college) * Strong computer science fundamentals (algorithms, data-structures, etc.) * Degree in Computer Science or a closely related field (top programs preferred) * You are deeply interested in AI, and actively use AI coding tools * You have strong product and engineering taste, and care deeply about craft, speed, and quality. * You are grounded, collaborative, and will do whatever it takes to help the team win. Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only. Compensation Range: $160K - $165K

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Director of Applied AI to lead our newly formed Applied AI organization and architect an AI-first operating model from the ground up. You are a technical leader with a rare blend of engineering depth, organizational influence, and a relentless instinct for shipping production-ready systems. Reporting to senior leadership, you will define where AI creates the most leverage across our business—including finance, operations, and GTM—and build the high-performing team of AI Engineers and Process Analysts required to make that vision a reality. Your success will be measured by your ability to partner cross-functionally to redesign core processes, eliminating friction and delivering tangible outcomes in time savings and cost impact. What you'll do • Own the Applied AI roadmap by identifying high-leverage opportunities to rebuild business processes across finance, operations, revenue, and GTM, • Hire, develop, and lead a team of AI Engineers and Process Analysts while establishing a culture of fast iteration, • Partner deeply with functional leaders to understand current work flows and design AI-first solutions to eliminate friction, • Set standards for how the team designs, evaluates, and deploys AI workflows, including prompt systems and LLM integrations, • Establish metrics for each process transformation and hold the team accountable to time savings, error reduction, and cost impact, • Serve as the internal authority on applied AI capabilities, tooling trends, and emerging best practices, • Present strategy, progress, and results to senior leadership and the executive teamWhat we're looking for, • 7+ years of experience in software engineering, AI/ML, or technical product leadership, • At least 2 years leading teams that shipped AI-powered systems in production, • Maintain deep hands-on familiarity with LLMs, agentic workflows, and AI automation tooling such as OpenAI, LangChain, and vector databases, • Demonstrate strong engineering skills and the ability to credibly review and guide technical decisions, • Show a track record of driving organizational change through technology and ensuring tools are adopted for sustained impact, • Apply experience working across functional boundaries to redesign processes with strong instincts for change management, • Utilize excellent communication skills to distill complex AI concepts for a non-technical executive audience, • Maintain a bias toward shipping by moving fast and setting clear expectations for high standardsOur Stack, • Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited), • Datastores: MySQL, PostgreSQL, Snowflake, • Cloud: AWS, • Version control: Git & GitHub, • AI Tooling: Copilot on GitHub and Claude Code When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $225,000.00 USD to $265,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-RR1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

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 AI Researcher specializing in generative models for materials discovery at Radical AI, you will help the development of the first commercial foundation model for materials science. Your role involves pioneering the application of generative models in the field of materials science, in particular by leveraging flow matching, diffusion, and LLMs. You will develop novel models and training techniques tailored for atomistic data in materials science. Your responsibilities include designing and conducting large-scale experiments to validate the most promising approaches in generative modeling. Collaborating closely with our engineering and computational materials science teams, you will play a crucial role in transitioning state-of-the-art models from research to production. Your expertise will contribute to the broader research community through publications in top-tier AI/ML venues like NeurIPS, ICML, and ICLR, alongside active participation in conferences and workshops. This role offers the unique opportunity to mentor and guide junior members of our technical team and research interns, fostering a culture of growth and innovation. Positions are available at various levels of seniority: Senior, Staff, and Principal.Mission • Lead and develop our generative foundation models in materials discovery., • Work in collaboration with various teams, in particular the quantum chemistry team, the atomistic simulation team, the engineering team, and the experimental team., • Conduct large-scale experiments to validate and refine promising approaches, collaborating closely with engineers to implement these models in production., • Develop rigorous benchmarks to validate and test the performance of our models., • Contribute to the AI and materials science research community through publications and active engagement in top-tier AI/ML venues like NeurIPS, ICML, ICLR, and our company blog, alongside active participation in conferences and workshops., • 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, or a closely related field, with a strong focus on deep learning and generative models., • At least 3 years of research experience in AI, with a proven track record in generative modeling, particularly in fields adjacent to materials science., • Working knowledge of various generative AI architectures, including transformers, diffusion models, CNFs, and flow matching., • Demonstrated experience in designing and running large-scale experiments in AI and machine learning., • Passionate about leveraging ML for science related problems and a commitment to doing world-class research., • Proficiency in Python and relevant ML libraries (e.g., PyTorch)., • Strong publication record in top-tier AI/ML conferences or journals., • Excellent collaboration and communication skills, capable of articulating complex technical ideas clearly and effectively.Pluses, • Prior experience in transitioning AI research into production environments., • Active involvement in the AI research community, with contributions beyond publications, such as organizing workshops or giving talks at conferences.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 DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Senior AI Engineer to join our Applied AI organization, a team purpose-built to rebuild how the company operates from an AI-first perspective. You will be the builder at the heart of this transformation, designing and shipping AI-powered tools and automation pipelines that replace manual, repetitive work across finance, operations, revenue, and beyond. This is a hands-on engineering role with enormous scope: you will own systems end-to-end, from the LLM prompt layer through to production deployment, working side-by-side with Process Analysts who understand the business deeply. If you want to see your work directly change how a company functions — not someday, but now — this is the role. What you'll do • Design, build, and ship AI-powered automation tools and internal applications that transform manual business processes into AI-first workflows, • Architect and maintain LLM-based systems, including prompt pipelines, agentic workflows, tool-calling integrations, and retrieval-augmented generation (RAG) setups, • Build and maintain data pipelines that connect source systems (Snowflake, internal APIs, SaaS tools) to AI workflows, ensuring data quality and reliability, • Partner with Process Analysts to understand how business functions work today, translate requirements into engineering specifications, and iterate based on real user feedback, • Own production reliability for the systems you build — monitoring, alerting, and iterating on AI outputs to maintain quality over time, • Evaluate and integrate emerging AI tooling (models, frameworks, APIs) to ensure Metropolis is always leveraging the best available capabilities, • Contribute to internal standards for AI development: prompt management, evaluation frameworks, model selection, and system architectureWhat we're looking for, • 6+ years of software engineering experience, with 2+ years of hands-on experience designing, building, and deploying LLM-based or AI-powered applications in production, • Strong Python skills — you write clean, maintainable code and are comfortable building APIs, data pipelines, and backend services, • Practical experience with LLM APIs (OpenAI, Anthropic, or similar), prompt engineering, and agentic patterns (function calling, multi-step reasoning, tool use), • Familiarity with data engineering fundamentals: SQL, data transformation, working with cloud data warehouses (Snowflake preferred), • Experience with workflow orchestration tools (e.g., Airflow, Prefect, or similar) and cloud infrastructure (AWS preferred), • A strong instinct for product quality — you care about whether the tools you build are actually useful, not just technically functional, • Ability to work autonomously in a fast-moving environment, manage competing priorities, and ship iteratively rather than waiting for perfectionWhile not required, these are a plus:, • Experience with vector databases, embeddings, or semantic search is a plusOur Stack, • Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited), • Datastores: MySQL, PostgreSQL, Snowflake, • Cloud: AWS, • Version control: Git & GitHub, • AI Tooling: Copilot on GitHub and Claude Code When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to $200,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-CM1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job Description Does getting in on the ground floor as an initial stakeholder, building out your own team, and building a solution that has never been built before, get you excited? Do you want to be the person, when people are talking about some awesome innovation in awe, to be able to proudly say you were instrumental in building it? If so then this could be an exciting opportunity for you. My client partners with companies ranging from fortune 500 to start-ups across all industries to solve their most complicated problems. The main one, most are wrestling with is how to use data and research for their decisions. With this hole in the market in mind, they have recently brought over one of the brightest minds from the AI/Machine learning world to build a product that doesn’t exist at this moment. It is tremendously ambitious goal, and they need a special team to do it. They are constructing its own floor, in their current space, and it is just at the start of this exciting journey. They are building a tool that can automate and replace the hundreds of thousands to million dollars that companies are spending in data science. This tool will greatly cut down on in some cases eliminate the need for companies to pour over data researching to find trends, it will do it for them, basically personalization for B2B. They are looking for a Senior Data Scientist to come on board and lead this ambitious initiative. If applying data mining techniques, doing statistical analysis, and building high quality prediction systems sounds like fun to you, keep reading. You will do things like , use machine learning techniques, build recommendation systems, and develop internal A/B testing procedures, and automation creation reporting. RESPONSIBILITIES · Selecting features, building and optimizing classifiers using machine learning techniques · Data mining using state-of-the-art methods · Enhancing data collection procedures to include information that is relevant for building analytic systems · Processing, cleansing, and verifying the integrity of data used for analysis · Doing ad-hoc analysis and presenting results in a clear manner · Creating automated anomaly detection systems and constant tracking of its performance · Utilize database technologies, including SQL, ETL, EMR, and Redshift to shape data and statistical modeling packages like R and python to build customer models. · Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. · Research and implement novel machine learning and statistical approaches QUALIFICATIONS · Excellent understanding of machine learning techniques and algorithms · Experience with common data science toolkits and data visualization tools · Proficiency in using query languages such as SQL, Hive, Pig etc. · Good applied statistics skills, such as distributions, statistical testing, regression, etc. · Good scripting and programming skills such as Python · Bachelor’s degree in computer science, Engineering, Mathematics, Statistics or related fields, or equivalent practical experience. Masters is preferred · Relevant working experience in an analytical role involving data extraction, analysis, model building, deployment and communication of insights · Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools. It is a truly unique work environment, where they are allowing the right candidate to be part of the creative, as well as the execution of the idea. The company empowers their employees, by choosing the right people, letting them use their unique skills, and giving them every resource, and power to make decisions. Truly a great opportunity to get in at ground floor and make a huge impact on tremendous team! Salary based on experience

Job Description Hi, we're Oscar. We're hiring an Applied AI Engineer to join our AI team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role Join Oscar's AI team to build and launch transformative AI-powered products that redefine the healthcare experience for millions. As an Applied AI Engineer, you'll take end-to-end ownership of high-impact projects—conceiving, prototyping, and deploying generative AI solutions that solve real-world problems across the healthcare ecosystem.You'll work alongside a world-class team of engineers and data scientists, rapidly iterating on ideas and shipping production-ready applications that drive measurable business and user outcomes. You'll have the autonomy to identify opportunities, experiment with the latest AI models and techniques, and deliver solutions that streamline operations, improve patient experiences, and move the needle for Oscar and our members. You will report to the Sr. Director, AI. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $163,944 - $236,911 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities • Lead the design, development, and deployment of AI-driven products and features, from zero-to-one prototypes to robust production systems., • Collaborate cross-functionally with product, design, and business teams to deeply understand user needs and deliver solutions that move key metrics., • Rapidly experiment with new models, techniques, and tools (including LLMs, RAG, and agentic workflows), iterating based on data and user feedback., • Build and scale full-stack applications and intelligent agents that automate complex healthcare workflows and deliver seamless user experiences., • Stay on the cutting edge of the AI ecosystem, evaluating and integrating emerging technologies to keep Oscar at the forefront of healthcare innovation., • Contribute to Oscar's AI strategy and technical vision, helping shape the future of healthcare through technology., • Other duties as assignedQualifications, • 7+ years of professional experience in software engineering, data science, or a related field, with a track record of impactful accomplishments, • Strong Python programming skills, • Experience solving complex, ambiguous problems, • Experience designing and analyzing experiments or evaluations, • Experience or an interest in prototyping full-stack applicationsBonus Points, • Experience with the healthcare industry. Familiarity with claims or clinical data., • Degree in math, statistics, data science, or engineering., • Our ideal candidate is a data scientist with an engineering background, an engineer with a data science background, or a founder-type who combines product thinking, rapid prototyping, and hands-on coding to deliver real-world impact., • Experience with NLP, neural networks, transformers, and modern AI frameworks., • Knowledge of containerization and deployment tools (e.g., Docker, Kubernetes) or full-stack development (e.g., React, Golang)., • Experimental mindset: comfort with testing hypotheses and iterating on failures. This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job DescriptionWhat We Offer: Our excellent salary and benefits package includes medical, dental, vision, life insurance, short and long-term disability coverage, education reimbursement, 401(k), performance bonuses, and an employee stock program. Employee Resource Groups and Programs offered include the Young Professionals Group, Women at Wade Trim, Diversity, Equity and Inclusion, Professional Development, Leadership Development, Rotation Program, Mentor Program, Sustainability Program, and Wellness Program. Position Description: We are seeking a Water Infrastructure Engineer to join our team in New York, NY. This role will lead technical design and delivery for pump station and wastewater capital projects, including new facilities and rehabilitations. Candidates must hold an active Professional Engineer (PE) license and have 10–15+ years of relevant experience with pump station and wastewater system design. The ideal candidate will demonstrate strong leadership in multidisciplinary teams, deep knowledge of pumping system components and controls, and experience developing plans, specifications, and estimates for municipal clients.Typical responsibilities include: • Provide technical planning, design and construction support on various wet weather projects that may include pump station, combined sewer overflow, collection system, water, stormwater, hydrologic and hydraulic models, and/or other water/wastewater projects, • Serve as Design Lead/Deputy PM on pump station capital projects., • Support mentoring, standards, and QA/QC across pumping systems work., • Prepare engineering calculations and supporting analysis of alternatives, • Prepare and evaluate wet weather control alternatives, • Develop and complete applications, permits, engineering reports and specifications, • Prepare and review engineer estimates, • Prepare design cost estimates, • Conduct research and development for projects, • Monitor task budget and progress, • Prepare project status and other reports, • Communicate project details with other design engineers, • Conduct project cost reviews, • Promote sales, • Prepare and review scope, budget, and schedule for project tasks, • Assist with proposals, marketing, project reports, and technical presentations, • Conduct on-site inspections as needed, • Attend and/or conduct client and project meetings, • Attend various meetings including pre-design, plan review, pre-construction, professional organization, staff, etc., • Attend seminars and/or training classes, • Maintain excellent client relations, • Maintain a safe working environmentEducation:, • Bachelor's degree in Civil, Environmental or Mechanical EngineeringSkills/Experience:, • Active Professional Engineer (PE) license., • 10–15+ years of relevant experience with pump station and wastewater design (new and rehabilitation)., • Demonstrated ability to lead technical delivery and coordinate multidisciplinary design teams., • Strong knowledge of pump station components and systems (wet wells, pumps/valves/piping, odor control/ventilation as relevant, standby power, SCADA/I&C interfaces), • Experience developing plan, specification, & estimate packages and navigating reviews with municipal clients., • Experience with rehabilitation/retrofit work: constrained sites, phased construction, maintaining operations, bypass pumping concepts., • Familiarity with surge/transient analysis tools or coordination of transient evaluations., • Construction administration and commissioning/startup experience for pump stations., • Prior work with large municipal agencies and capital programs (NYC-region experience a plus)

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 DescriptionInformation System Security Officer (ISSO) Employment Type: Full-Time, Mid-Level Department: Administrative and Logistics Support As a FSR ISSO, you will be embedded on-site with U.S. Government customers to ensure the secure, compliant operation of a production-grade data and application platform used in mission-critical environments. You will serve as the primary authority for system security and compliance—working hands-on with live systems while partnering closely with engineers, operators, and customer security teams. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:- Act as the primary on-site point of contact for security and compliance requirements across one or more U.S. Government customers. - Support system accreditation and authorization activities using frameworks such as RMF or DIACAP. - Collaborate with software, systems, and field engineers to ensure required security controls, configurations, and policies are correctly implemented. - Analyze deployed software implementations and assess alignment with applicable security requirements. - Build, standardize, and maintain security documentation, including SSPs, POA&Ms, control narratives, and supporting artifacts. - Generate, validate, and organize evidence of compliance once security settings are applied. - Assemble accreditation artifacts into a structured, auditable repository. - Support audits, assessments, and ongoing compliance activities throughout the system lifecycle. - Maintain the ongoing security and trust of customers through hands-on system access and coordination with engineering and operations teams. - Support software operating across AWS, Azure, on-premises, and at multiple classification levels. - Operate in environments where the platform, threat landscape, and operational needs are continuously evolving. Qualifications:- Background in systems administration, software development, systems engineering, or deep familiarity with Linux-based systems. - Experience accrediting IT systems against U.S. Government standards such as NIST SP 800-53, CNSSI 1253, and DISA STIGs. - Hands-on experience supporting accreditation using eMASS or Xacta. - Experience collaborating with engineering teams to implement and validate security configurations. - Understanding of configuration management and automation tools (e.g., Puppet, Terraform, CloudFormation, Chef, Ansible). - Comfort using version control systems such as Git. - Ability to independently use vulnerability scanning tools such as Nessus and OpenSCAP. - Experience working in cloud and on-premises environments, including AWS. - Strong ability to produce clear, concise technical documentation, stay organized, and maintain attention to detail. - Curiosity, critical thinking, and the ability to evaluate real-world implementations against formal security requirements. - Active TS/SCI Clearance or Eligibility Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past nine years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package.- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: more information about CGS please visit: or contact:Email: We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Project Overview HireScale is partnering with a high-growth enterprise SaaS organization to embed a Forward Deployed Engineer (FDE) directly into customer-facing and product-adjacent workflows. This is a full-service, cutting-edge engineering engagement focused on bridging the gap between complex enterprise customer needs and production-grade software solutions—delivered with speed, precision, and modern AI capabilities. This role sits at the intersection of engineering, product, solutions architecture, and applied AI. You will work directly with internal teams and enterprise customers to design, build, and deploy tailored software solutions that extend core SaaS platforms into real-world operational environments. Unlike traditional engineering roles, this engagement is highly embedded and outcome-driven. You are not just building features—you are solving real customer problems in production environments, often under tight constraints, ambiguous requirements, and high expectations for reliability and scale. A core part of this role is leveraging the latest AI technologies—LLMs, agentic systems, and AI-assisted development workflows—to accelerate solution design, implementation, and iteration. You will be expected to move fluidly between rapid prototyping and production-grade engineering, ensuring every solution is both fast to deliver and architecturally sound. This role requires strong experience in enterprise software or B2B SaaS environments, where system integration, security, scalability, and reliability are critical. You will frequently operate within complex customer ecosystems involving APIs, data pipelines, identity systems, and existing enterprise infrastructure. The ultimate goal is to translate complex enterprise needs into deployed, scalable software solutions—while continuously improving product capability through real-world deployment feedback. Scope of Work & Core Capabilities • Design and deploy production-grade software solutions directly within enterprise customer environments, • Translate ambiguous, high-complexity customer requirements into scalable technical implementations, • Build integrations across SaaS platforms, APIs, data systems, and enterprise infrastructure, • Develop full-stack solutions using modern engineering practices and cloud-native architectures, • Leverage cutting-edge AI tools and frameworks (LLMs, agentic workflows, AI orchestration systems) to accelerate development and solution design, • Rapidly prototype, validate, and productionize customer-specific use cases, • Collaborate with product and engineering teams to extend core platform capabilities based on field insights, • Work directly with enterprise stakeholders to troubleshoot, iterate, and refine deployed solutions, • Ensure solutions meet enterprise standards for security, scalability, performance, and reliability, • Build reusable components, frameworks, and patterns that generalize across customers, • Operate in complex technical environments involving authentication systems, data pipelines, and distributed architectures, • Document architectures, deployment patterns, and integration guides for long-term scalability, • Act as a technical bridge between customers, product, and engineering teams Engagement Brief This engagement is focused on delivering real-world, production-grade software solutions inside enterprise environments while continuously improving platform capabilities through direct customer deployment. Success is measured by deployed outcomes, customer impact, system reliability, and the ability to scale solutions across multiple enterprise use cases. • Target Outcomes: Deployed enterprise SaaS solutions that solve real customer problems, improve operational efficiency, and extend core platform capabilities. Deliver scalable integrations, production-grade features, and AI-accelerated workflows that reduce implementation time and increase customer success outcomes., • Duration: 3–6 months (full-service engagement), • Commitment: Full-service, embedded engineering role, • Budget: Flexible based on scope, complexity, and enterprise deployment requirements, • Start Date: ASAP Portfolio Requirements: • 2–3 relevant projects in enterprise SaaS, platform engineering, solutions engineering, or forward deployed engineering roles, • Demonstrated end-to-end ownership (customer problem → system design → production deployment → measurable impact), • Experience building or integrating with large-scale B2B SaaS systems, • Proven use of modern AI tools (LLMs, agent workflows, AI-assisted development, or similar technologies), • Evidence of working in complex enterprise environments (APIs, integrations, security, scalability constraints), • Supporting materials such as architecture diagrams, production case studies, GitHub repositories, or technical documentation preferred About HireScale HireScale is redefining how people and organizations grow and work together. We connect companies with top-rated independent consultants to build agile, highly skilled and resilient teams; while also empowering talent to shape their own paths and align meaningful work with personal freedom and purpose. Our goal is a future where opportunity is open, work is self-directed, and everyone thrives.

Job Description Position the first widely adopted quantum software product. The hunting grounds for quantum advantage. The place to build and run quantum applications. Haiqu is building a world-leading software platform that enables previously impossible applications on modern quantum processors. Our full-stack approach has shown industry-first results in pilots with leading quantum early adopters. Backed by top investors, we offer a unique opportunity to join a fast-growing team and shape a product vision for an entirely new computing paradigm. We’re looking for a Product Marketing Lead who will own an aggressive cross-channel marketing campaign to put our flagship product into the hands of users. You will communicate highly technical concepts into sticky messages and intuitive value propositions; you will produce marketing materials; you will launch community development initiatives. You must have phenomenal writing skills and a sense of humor. Responsibilities 1. Product Communication Own positioning and messaging for Haiqu’s middleware modules & capabilities. Translate proprietary, highly technical concepts into benefits and value propositions for enterprise and developer personas. Build structured product narratives and pitch materials for industry verticals (Finance, Pharma, Energy, Aerospace, etc.). Partner with Product & Engineering to drive clarity on feature launches, release notes, and product documentation. 2. Technology Communication Craft high-quality technical explainers, white papers, diagrams, and primers. Work closely with the research team to distill R&D results into digestible communication pieces. 3. Social Media & Public-Facing Communications Own Haiqu’s presence across LinkedIn, X, and technical forums, etc. Produce daily/weekly social content framed for engagement of key audience groups. Experiment with high-growth content formats: threads, visuals, animations, mini-explainers, product tips, and use cases. 4. Case Studies & Customer Narratives Lead production of deep technical case studies. 5. Marketing Content Strategy & Editorial Leadership Manage a content roadmap for technical blog posts, conference materials, primers, webinars, and educational series. Manage editorial voice guidelines for technical accuracy, clarity, and brand consistency. Manage the lifecycle of content assets: creation, review, distribution, analytics, and improvement. 6. Growth Marketing & Demand Generation Define and execute multi-channel campaigns to attract enterprise leads, community developers, and researchers. Launch and refine conversion funnels and targeted account-based campaigns for verticals (Finance, Pharma, Energy, etc.). Track conversion metrics and adjust strategy based on performance data. 7. Community Development & Ecosystem Marketing Grow Haiqu’s developer and researcher community through events, discussions, technical workshops, webinars, and partnerships. Launch community initiatives highlighting Haiqu’s workflows, tutorials, examples, and recipes. 8. Cross-Functional Leadership Work tightly with Product, Research, BD, and Exec team to align messaging across customer touchpoints. Coordinate external communication around publications, IP milestones, grants, and hardware partnerships. Gradually hire and manage marketing coordinators, designers, or content contractors as the function scales. Requirements • 5+ years of professional experience in a tech startup, deep tech lab, or enterprise., • 3+ years of experience in product marketing or technology marketing for deep-tech or science-intensive products/technologies (quantum computing, AI/ML, HPC, developer tools, scientific software, or comparable domains)., • Proven ability to translate complex technical systems into clear, compelling narratives for multiple audiences., • Exceptional writing and editorial skills, with a portfolio demonstrating:, • Long-form technical content (blogs, white papers, explainers), • Short-form, high-engagement content (social posts, threads, landing pages), • Case studies or customer narratives, • Demonstrated experience owning end-to-end messaging and positioning for a core product or platform, including launches, iterations, and roadmap evolution., • Hands-on experience running multi-channel marketing efforts, spanning content, social, community, and growth campaigns. Comfortable operating without a large supporting team., • Strong intuition for developer and technical communities: how they learn, what they trust, and what triggers adoption versus skepticism., • Analytical mindset with experience tracking growth, engagement, and conversion metrics., • Ability to work credibly with PhD-level researchers and senior engineers, extract signal from complexity, and challenge vague or inflated claims., • High ownership mindset: comfortable operating in ambiguity, setting direction, and building structure where none exists., • Clear evidence of intellectual curiosity, taste, and originality—this role rewards creative personalities who think and invent, not just execute. Nice to have (not required): • Background in physics, computer science, applied math, or a related technical field, • Experience marketing frontier or pre-category products, • A rare opportunity to define the narrative of a new computing paradigm, not just market an incremental product., • Direct ownership of Haiqu’s product voice, technical storytelling, and market perception, with real influence on GTM strategy, product direction, and ecosystem positioning., • Close collaboration with a world-class research and engineering team, working at the frontier of quantum middleware, algorithms, and execution infrastructure., • A role with real scope and leverage., • Competitive compensation and meaningful equity aligned with building long-term value., • The mandate to build a marketing function over time., • High autonomy, low bureaucracy, and a culture that values rigor, speed, and intellectual honesty over buzzwords., • Front-row exposure to top enterprise pilots, hardware partners, academic collaborations, and global quantum ecosystems. Base Compensation (NY based): $150,000 - $210,000