Uplift AI jobs

Psychiatrist - Remote United States - Remote UpLift - Redefining Access to Mental Healthcare At UpLift, we believe mental health is just as important as physical health - and we're rethinking the mental healthcare model. UpLift is a multi-sided marketplace, applying technology to empower patients to find Therapists and Psychiatric providers covered by their insurance plan. While 1 in 5 Americans struggle with mental health issues, only 40% of this group received care in the last year. At the same time, only 30% of therapists accept insurance. UpLift acts as the bridge between patient, provider, and insurer - empowering patients to find the best care for their needs at a price they can afford. Why Join UpLift Estimated Effective Hourly Earnings*: Earnings between $119 to $242 per hour is based on a 60-minute session assumption that includes a combination of patient visits and hourly equivalent CPT codes. Compensation for CPT codes can vary based on clinician's license and state of licensure. Expand access to care: Provide psychiatric services to individuals who otherwise may not have access to mental healthcare. Collaborative model: Work hand-in-hand with UpLift's network of licensed therapists to deliver world-class, evidence-based care. All-in-one virtual platform: Focus on your patients - UpLift handles credentialing, enrollment, and platform operations. Work from anywhere: This role is 100% remote, with care delivered via UpLift's purpose-built telemedicine platform. Flexible commitment: Part-time, 1099 contract position What You'll Do Conduct video consultations and message with patients via telemedicine. Assess, screen, diagnose, and prescribe medication as

Psychiatric Nurse Practitioner (PMHNP) - Remote Wyoming UpLift - Redefining Access to Mental Healthcare At UpLift, we believe mental health is just as important as physical health - and we're rethinking the mental healthcare model. UpLift is a multi-sided marketplace, applying technology to empower patients to find Therapists and Psychiatric providers covered by their insurance plan. While 1 in 5 Americans struggle with mental health issues, only 40% of this group received care in the last year. At the same time, only 30% of therapists accept insurance. UpLift acts as the bridge between patient, provider, and insurer - empowering patients to find the best care for their needs at a price they can afford. Why Join UpLift Estimated Effective Hourly Earnings*: Earnings between $75 to $127 per hour is based on a 60-minute session assumption that includes a combination of patient visits and hourly equivalent CPT codes. Expand access to care: Provide psychiatric services to individuals who otherwise may not have access to mental healthcare. Collaborative model: Work hand-in-hand with UpLift's network of licensed therapists to deliver world-class, evidence-based care. All-in-one virtual platform: Focus on your patients - UpLift handles credentialing, enrollment, and platform operations. Work from anywhere: This role is 100% remote, with care delivered via UpLift's purpose-built telemedicine platform. Flexible commitment: Part-time, 1099 contract position What You'll Do Conduct video consultations and message with patients via telemedicine. Assess, screen, diagnose, and prescribe medication as clinically appropriate. Coordinate treatment planning and care delivery with UpLift's network of therapists. Provide

Lead AI Engineer, NLQ & Agentic Systems Remote Upwork Inc.'s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond. Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn , Facebook , Instagram , TikTok , and X ; and learn more about Lifted at Go-Lifted and follow on LinkedIn . As a Lead AI Engineer on our Data Platform & Services (DPS) team, you will bridge deep data engineering expertise with emerging AI capabilities to build production-grade AI-powered systems. You'll design and deploy agentic frameworks, natural language

Project Lead (Maintenance Baseline Uplift) Sydney, New South Wales, Australia posted: Posted 30+ Days Ago

Strategy & Ops Associate, Applied AI Remote (Non-U.S.) | Remote ABOUT CLIPBOARD Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S. Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We're the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities. Excited about what we're building? We'd be grateful if you'd spread the word. If you know a friend, former colleague, or someone exceptional you'd love to work with again, refer them here. https://jobs.ashbyhq.com/clipboard/form/ref-test-form ROLE OVERVIEW We are hiring an Applied AI Strategy & Ops Associate to support and evolve our internal tooling ecosystem across Ops. This is a hands-on individual contributor role focused on strengthening the foundation of our operational stack. You'll work across a range of tools including support platforms, AI-driven systems, and internal automations to improve how our day-to-day operations function. You'll partner closely with team leadership to execute against defined priorities, refine existing systems, and introduce new tooling where needed ensuring our stack continues

Senior AI Support Engineer (Paris) Paris, Île de France, France About Dust Work is being rewritten, and the people holding the pen are the ones who actually run it. Dust is the multiplayer AI platform for human-agent collaboration. It gives companies a shared workspace where teams can build, deploy, and manage AI agents connected to their company knowledge, tools, and workflows. With enterprise-grade governance, flexible model choice, and a collaborative interface for humans and agents to work together, Dust empowers AI Operators at the world's fastest-moving companies to rewire how work gets done. With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We don't get piloted and shelved. We land once, and spread. We're at an exciting stage of our journey, and growing fast. We're serving great customers like Datadog, 1Password, Cursor, Clay, Vanta and Persona, and aim to x5 our growth by the end of 2026. Dust is backed by Sequoia with a determined team of optimists (coming from Stripe, OpenAI, and Stanford) who like to focus on users, ship fast, and don't take themselves too seriously while doing so. The Generalist named us among the Future 50 . The role Support at Dust is not a cost center. It is one of the most important product surfaces we own. As a Senior AI Support Engineer , you will help define what world-class support looks like in an AI-native company. You will not just resolve tickets. You will own the

Lead AI Engineer Bangalore (India)

AI Growth Marketing New York City | Hybrid | Remote Who are we? Sweep is the agentic layer for enterprise systems where teams and metadata agents plan, change, and govern systems with speed and confidence. What will you do at Sweep? We're looking for a high-impact Growth Marketer to own strategy, execution, and results across paid and select organic acquisition channels. You'll own the paid programs, build the acquisition system, and work closely with Sales to turn pipeline into revenue - testing new ideas, doubling down on what works, and shaping how the company shows up in the market. Own paid acquisition and email nurture programs - Drive strategy, execution, and optimization across Google Search, LinkedIn, Meta, YouTube, and emerging channels. - Manage budgets, bidding, targeting, and creative and continuously test and iterate. - Own email nurture programs to keep leads engaged and move them through the funnel to pipeline. Build and scale the pipeline engine. - Map how customers are acquired, find the patterns, and turn them into a repeatable system. - Connect paid programs with field, partner, and outbound motions into one cohesive acquisition system. Partner with Sales to drive revenue. - Keep marketing, BDR, and sales aligned on targeting, messaging, and pipeline quality - Use data and sales feedback to double down on what works and cut what doesn't. Build an AI-native growth approach. - Design and deploy AI-powered workflows that automate repetitive work across targeting, segmentation, creative testing, performance reporting, and lead routing - Build systems,

AI Platform Architect Budapest, Hungary What success looks like in this role: Lead enterprise and solution architecture across complex, multi-stakeholder environments, from greenfield platforms to legacy transformation Define and own API strategy, governance frameworks, and integration patterns at organisational level Design and deliver on-prem, cloud-native and hybrid infrastructure across AWS, Azure and GCP with focus on scalability, cost, and compliance Architect and operate AI/ML platforms including LLM pipelines, GPU infrastructure, and agentic orchestration Establish DevSecOps practices including CI/CD, Infrastructure as Code, and automated deployment pipelines Define data architecture, integration patterns, and analytics capability to support decision-making Lead vendor evaluation, procurement, and technology selection, including AI and LLM tooling Provide board-level advisory on technology strategy, digital transformation and risk Build and mentor engineering teams and uplift capability through structured practices and frameworks Own governance, security and compliance posture across regulatory and emerging AI frameworks Technical Competencies On-Prem, Cloud & Infrastructure: Dell AI Factory, AWS, Azure, GCP; Terraform; containerisation and CI/CD pipelines AI/ML & LLM Operations: GPU infrastructure, model deployment, inference optimisation, agentic workflows Security & Identity: SSO, OAuth2/OIDC, ISO27001, PCI DSS, GDPR, emerging AI regulation APIs & Integration: REST, GraphQL, enterprise API governance Data & Analytics: ETL, data warehousing, BI tooling, compliant data architecture Frameworks & Methods: SAFe, Agile, Domain-Driven Design Leadership & Impact Operates at enterprise and board level Shapes long-term platform and technology strategy Balances innovation with risk, governance, and scalability Drives organisational capability uplift You will be successful in this role if you have: Experience Profile (Indicative) Significant

Senior Machine Learning Engineer, Agentic AI Systems - Moveworks Mountain View, CALIFORNIA, United States Company Description: Who we are Moveworks is the Agentic AI Assistant platform that empowers the entire workforce. Our platform enables employees to converse with all of their business systems through natural language to quickly find answers and automate tasks. Powered by the world's most advanced LLMs, our proprietary models, and a sophisticated Agentic AI platform, we're transforming how work gets done by allowing AI to take initiative, streamline complex workflows, and continuously learn and adapt. Moveworks is trusted by over 5.5 million employees at more than 350 of the world's largest companies, including 10% of the Fortune 500, to automate everyday tasks and streamline business operations. Recognized on the Forbes Cloud 100 and AI 50 lists, Moveworks was also named one of Fast Company's 2025 Most Innovative Companies and Inc's Best in Business, in the Best in Innovation category. Moveworks was also recognized at Microsoft's 2025 Partner of the Year and in 2024, received the AI Breakthrough Award. In December 2025, Moveworks was acquired by ServiceNow, marking a pivotal milestone in our journey to create a single front door to work for all business systems. By combining ServiceNow's leading workflow automation with Moveworks' Reasoning Engine and natural language capabilities, we deliver the AI platform for every person and every workflow. Built to go beyond basic summaries to deliver meaningful business impact. Together, our AI acts across enterprise systems to turn conversations into completed work. By joining

AI Engineer

Head of AI Transformation - APJC, Generative AI Innovation Center SGP Are you passionate about helping customers achieve business transformation through AI? Do you want to lead forward-deployed teams that embed directly into the enterprise and unlock real business outcomes? And are you ready to operate as a general manager across engineering, science, and commercial strategy in the fastest-moving space in AI and infrastructure? The AWS Generative AI Innovation Center (GenAIIC) is on a mission to accelerate enterprise AI transformation across global customers going from beyond isolated use cases to holistic, C-suite-sponsored initiatives that reshape how organizations operate. We combine deep AI expertise across science, strategy, and business transformation. We start with the customer's most critical operational challenges and work backwards, and deploy multidisciplinary teams that embed with the customer, prove impact in 45-day sprints, and expand across the enterprise. We are a fast-moving, entrepreneurial team that values leaders who can operate across technical depth and commercial breadth. As the Head of AI Transformation, GenAIIC APJC Geo, you will own the end-to-end success of AI transformation engagements across the Asia Pacific, Japan, and Greater China region. You will lead a team of ML engineers, AI scientists, and AI strategists who work alongside customers to architect and deliver AI solutions that move and stay in production, realizing value. You will regularly engage with CFOs, CIOs, and C-suite executives - selling transformation, not technology. You must bring a GM mindset: equal fluency in engineering, applied science, go-to-market, and customer delivery. You are

AI Lab - Junior Machine Learning Engineer Sant Cugat del Valles, Barcelona, Spain

AI Senior Engineer

Senior SRE - Platform (MKI) Canada Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role As part of the Platform Engineering department, the SRE team is designing, building, scaling and maturing the multi-cloud platform for hosting internal and external services such as the Elastic Cloud Hosted and Serverless . We develop and extend new software and tools that support the rest of the infrastructure, so that we can rapidly deploy products from all corners of Elastic. We want your experience and recommendations to offer a truly exceptional customer experience! What you will be doing - Taking an engineering approach in leading technical initiatives for automating system engineering efforts to guarantee the reliability of the global Elastic infrastructure. . - Growing our global Platform infrastructure to meet the increasing scaling demands by developing and maintaining software, tooling and automations. - Collaborating in an environment with an inclusive approach, and focusing on operational excellence, and uplifting others. -

Senior Team Lead - AI Inference U.S. Remote We are seeking a Senior Team Lead to lead our AI Inference team. In this role, you will bridge the gap between complex research and production-grade engineering, while cultivating a high-performing team culture. You will lead and grow a squad of 3 developers, balancing hands-on technical contribution with strong people leadership - setting direction, unblocking your team, and driving execution on high-performance systems that optimize Large Language Model (LLM) serving. The ideal candidate combines deep technical expertise in inference and scale with the leadership maturity to mentor, motivate, and develop engineers in the evolving ecosyste m of serving frameworks like vLLM and LMCache. What You'll Work On - Lead & Own: Take end-to-end ownership of AMG's core inference infrastructure - from the NVMe Token Warehouse and GDS data paths to the vLLM/LMCache serving stack - driving technical decisions and delivery outcomes. - Technical Direction: Guide a team of engineers through design, implementation, and delivery of high-throughput, low-latency LLM inference systems, setting high standards for code quality, architecture, and reliability. - Build at Scale: Stay hands-on across the AMG stack (Python, C++, CUDA, vLLM, NIXL/Dynamo, Kubernetes), contributing directly to production systems while providing technical leadership to the team. - Solve Hard Problems: Tackle the real frontier challenges of inference engineering - disaggregated prefill/decode, persistent off-HBM KV caching, RDMA-based transport, and multi-tier GPU memory hierarchies - that define what's possible at scale. - Grow People & Teams: Mentor and coach engineers through regular 1:1s,

AI Data Intelligence Leader — WW Channel Sales Austin, United States of America Apple's WW Channel Sales & Operations organization builds AI systems that predict optimal coverage, run experiments autonomously, and deliver decision intelligence across all global sales programs. In an increasingly agentic world, these models don't just inform human decisions - they power autonomous agents that act on them at global scale. This role owns the product vision and ML strategy for the decision intelligence platform that enables both people and agents to make better decisions, faster. You will own CSO's decision intelligence platform end-to-end: defining what it should do, building the ML models that power it, and scaling it globally. This spans predictive coverage models, an experimentation and uplift engine, a unified data management system across all sales programs, and the real-time visibility layer that surfaces automated insights to program leaders. The primary consumers of your models and intelligence layer are AI agents that make autonomous decisions. This changes what data quality means, what latency is acceptable, and how systems need to be designed. You'll lead a team of data scientists while partnering with a separate data engineering team for pipeline and infrastructure work, and a separate full-stack development team for product surfaces - though increasingly, agents will handle much of the integration and delivery work themselves. Own the product vision and roadmap for CSO's decision intelligence platform - spanning predictive coverage, experimentation & uplift, anomaly detection, and proactive automated insights Define the ML model portfolio: predictive coverage

AI/ML Engineer Bellevue, WA Team Charter: The Data team is the engine of intelligence at OfferUp. Our mission is to transform massive amounts of marketplace data into seamless, safe, and personalized experiences that empower millions of people to connect and prosper. We bridge the gap between complex algorithms and real-world customer impact across search, trust & safety, and personalization. About the role: AI is transforming how millions of people buy, sell, and connect on OfferUp - and this role is at the center of making that happen. As an AI Engineer on the Data team, you will own the production systems - from agentic workflows and RAG pipelines to LLM integrations - that turn our marketplace intelligence into real customer experiences. From enhancing search ranking and personalization to powering fraud detection and generative AI features, your work will have a company-wide impact and be felt by millions of users every day. The Data team reports into the broader engineering organization and directly influences OfferUp's most critical product surfaces. We are looking for an AI Engineer to join our Data team . This team is tasked with building the core intelligence - supporting search ranking, recommendation engines, fraud detection, and generative AI features - that is critical to OfferUp's success as the leading local marketplace. You will be part of a cross-functional team that includes Data Engineering and Data Science, serving as the bridge that turns research and models into shipped, production-grade AI systems. What we love about this role: -

Product Designer New York | OnSite WHY AUCTOR Auctor is building the AI layer for professional services and software implementation. Think of us as the brain behind the best solution engineers, forward-deployed engineers, and onboarding teams- automating the documentation, the discovery, and the decision-making that powers $400B+ in services work. We're going after one of the biggest software categories of the decade, and the market is wide open. ROLE OVERVIEW As a Product Designer at Auctor, you'll shepherd multiple projects from concept to launch. You'll craft high-caliber designs, interactions, and prototypes that turn complex problems into seamless solutions. Partnering closely across all teams at Auctor, you'll weave AI into experiences that help users understand, trust, and steer AI outputs. We seek someone with sharp interaction instincts, refined visual taste, and a collaborative spirit- someone who obsesses over details, invites feedback, and uplifts ideas through tight cross-functional teamwork. WHAT YOU'LL DO - Drive end-to-end product experiences, taking ideas from spark to polished release. - Work hand-in-hand with engineers, and AI researchers to convert business goals into user-centered designs. - Evolve and maintain our design system, ensuring a unified, scalable visual language. - Run user research to surface pain points and opportunities, feeding insights back into design choices. - Build prototypes that explore and validate new features, flows, and interactions. - Uphold a high design bar, steering the team toward thoughtful, deliberate decisions at every turn. WHAT YOU HAVE - Experience crafting products in fast-moving settings, backed by a portfolio showcasing your

Founding Account Executive San Francisco, California, United States Netic is the AI revenue engine for essential services who are the backbone of the American economy. With $43M in funding from Founders Fund, Greylock, Hanabi, and Dylan Field who led our Series B, we helped our customers book hundreds of thousands of jobs across services industries in North America. There are now companies operating entirely AI-first on Netic. You'll join our team with relentless builders from Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard in bringing frontier AI to the physical economy, where the problems are hard, the data is complex, and the impact is immediate and tangible. What You'll Do: - Hit aggressive revenue targets: Own quota and forecast accuracy for six‑ and seven‑figure ACV deals for mid-market and enterprise service companies. - Architect GTM playbooks: Design outbound cadences, event strategies, and partner motions that scale beyond founder‑led selling. - Prospect with precision: Map power structures, craft the perfect cold-email, and build multi‑threaded relationships that survive procurement drag. - Translate AI to ROI: Demo our AI revenue engine in the customer's language-showing measurable uplift in revenue and booked jobs-not tech jargon. - Run complex cycles: Navigate legal, security, and integration hurdles; drive pilots to production, then land‑and‑expand, taking full ownership. - Close the feedback loop: Feed market insights back to product and engineering so we ship the features that unblock larger contracts. What You'll Bring: - Enterprise sales pedigree: 3+ years selling technical software to mid-market or enterprise, with multi‑stakeholder

Senior AI Machine Learning Scientist 3 Locations posted: Posted Yesterday

AI Machine Learning Engineer 4 Locations posted: Posted Today

Senior AI Machine Learning Engineer 4 Locations posted: Posted 24 Days Ago

Research Scientist, Frontier Risk Evaluations San Francisco, CA; New York, NY Scale Labs, Research Scientist - Frontier Risk Evaluations As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist focused on Frontier Risk Evaluations, you will design and create evaluation measures, harnesses and datasets for measuring the risks posed by frontier AI systems. For example, you might do any or all of the following: - Design and build harnesses to test AI models and systems (including agents) for dangerous capabilities such as security vulnerability exploitation, CBRN uplift, and other high-risk activities; - Work with government agencies or other labs to collectively scope and design evaluations to measure and mitigate risks posed by advanced AI systems; - Publish evaluation methodologies and write technical reports for policymakers. Ideally you'd have: - Commitment to our mission of