AI Software Engineer Jobs

false

Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.About the RoleBuild systems that transform powerful pre-trained models into aligned and general agents.Drive research and engineering initiatives that push the frontier of post-training, from data curation to large-scale optimization.Develop data generation pipelines, reward models, reinforcement learning algorithms, and inference-time scaling techniques.Collaborate across pre-training and post-training teams to deliver step-function gains in model capability.Contribute to shaping our understanding of how large models learn to reason, follow instructions, and improve through reinforcement learning.About YouDeep understanding of machine learning fundamentals and practical experience with large-scale LLM training.Strong engineering skills, comfortable diving into complex ML codebases and distributed systems.Experience improving model behavior through data, reward modeling, or RL techniques.Evidence of owning ambitious research or engineering agendas that led to measurable model improvements.Thrive in a fast-paced, high-agency startup environment; bias toward action and clarity of execution.Able to work fluidly across research and infra boundariesStrong communication capabilities and comfort working collaborativelyPassionate about advancing the frontier of intelligence.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

false

Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.About the RoleResearch and build solutions across algorithms, scaling laws, data processing, optimizers, and model architecture.Design and run scientific experiments to advance our understanding of scaling large language models and data efficiency.Implement state-of-the-art methods from the deep learning literature.Lead small research projects independently while collaborating on larger initiativesOptimize the training infrastructure for efficient scaling.Contribute across the entire stack, from low-level optimizations to high-level model design.About YouGraduate degree (MS or PhD) in Computer Science, Machine Learning, or related discipline.Solid software engineering capabilities with experience building large-scale systems.Experience with large-scale ETL workflows and training data preparation.Deep understanding of large-scale ML, especially as it relates to language models, distributed training, and scaling.Proficient in Python and deep learning frameworks (PyTorch preferred).Navigate trade-offs between research objectives and practical engineering realities.Thrive in a fast-paced, high-agency startup environment with bias toward action.Strong communication capabilities and comfort working collaboratively.Passionate about advancing the frontier of intelligence.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

true

About Rad AIAt Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 list, highlighting the innovation and momentum behind our mission.If you’re ready to shape the future of healthcare, we’d love to have you on our team!Why Join Us:Rad AI’s engineering team is growing quickly for our award-winning product. We are seeking a world-class Engineering Manager to scale our team and drive strategy and execution. As an Engineering Manager, you’ll be responsible for delivering on our product roadmap, partnering cross-functionally across engineering, product, and other organizations, and leading an engineering team where you’ll be responsible for mentorship, career development, and performance management.Our team moves fast and ships code to production continuously and will rely on our engineering leadership success to increase productivity by removing obstacles and keeping processes lean.What You'll Be Doing:Report into our Director of Engineering to manage a team of software engineers at a variety of levelsCross-functionally partner with other groups, including platform engineering, machine learning, product management to advance product features.Bring clarity to ambiguous situations, ensuring feature development aligns with long-term KPI improvements.Invest in individual growth, enabling your team to deliver with quality and confidence.Collaborate with senior leadership to chart out a strategic direction based on vital business metrics.Prioritize clear, constructive feedback, ensuring everyone on the team is aligned and empowered.Who We're Looking For:7+ years of engineering experience with a minimum of 2+ years of engineering management experience.Experience leading cross-functional product engineering teams focused on shipping with quality.Ability to understand KPI and business metrics, as well as the ability to identify and scope product feature work to maximize the business impact.Previous experience in performance management, including the ability to mentor and guide the professional and technical development of your team members.A bias to take action, and an ability to use best available data to justify your actions and opinions and make decisions that move the business forward.Expertise in growing teams, and previous experience recruiting engineers of multiple disciplines while ensuring a successful, supportive onboarding experience.Ability to plan ahead for potential obstacles, communicate areas of risk, and provide clear directives. Anticipate potential obstacles and plan accordingly.Have a philosophy of valuing each team member and understanding individual strengths and areas for growth.Nice to Haves:Experience in a healthcare startup or radiology-focused organization.Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission,  we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!To learn more about what it's like to work at Rad AI, visit https://www.radai.com/life-at-rad-aiFor US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:Comprehensive Medical, Dental, Vision & Life insuranceHSA (with employer match), FSA, & DCFSA 401(k)11 Paid Company HolidaysLocation Flexibility (Remote-first company!)Flexible PTO policyAnnual company-wide offsitePeriodic team offsitesAnnual equipment stipendFor roles based outside the US, your recruiter can share more detailsAt Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com.

false

About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleOur generative AI-powered products are making a huge impact in the Healthcare industry. As an AI Platform Engineer, you will collaborate closely with a cross-functional team of researchers, clinical scientists, and product engineers. You will design and build the runtime, orchestration engine, and evaluation platform for agentic orchestration and LLM-driven workflows.What You’ll DoDesign and build GenAI systems that turn LLMs into composable, dependable tools—leveraging retrieval, tool use, agentic reasoning, and structured outputs.Design and implement a highly reliable and scalable agent runtime: orchestration, shared state and memory, tool-calling interfaces, and scheduling for cost, latency, and quality.Build secure, sandboxed execution for agent actions and code; optimize cold start, isolation, and observability.Ship unified interfaces for multiple model sizes and providers; integrate with open tool ecosystems such as MCP-style connectors for data and actions.Develop an evaluation platform for online and offline assessments, A/B tests, safety checks, and regression gates that improve agent reliability over time.Partner with Research to deliver new agent capabilities end to end—from prototype to production.What You’ll BringExperience building agent applications with tool-calling, context engineering, or open connector integrations.Fluency with LLM APIs, prompting strategies, and orchestration patterns (e.g., LangChain, LlamaIndex, or custom pipelines).Experience with retrieval systems (e.g., semantic and lexical retrieval, vector DBs, efficient kNN), function calling, tool use, or agentic workflows.Strong coding skills in one or more of: Python, Java, Go. Comfortable with service design, APIs, and data models for high-throughput systems.Working knowledge of containers and kubernetes concepts. Familiarity with metrics, tracing, on-call rotations, and incident response practices.Self-motivated with a willingness to take ownership.Strong communication skills and ability to work collaboratively in a team environment.Bonus Points If…Prior work on agent orchestration pipelines: task routing, planning, memory graphs, vector search, or browser automation.Experience with evaluations, preference optimization, or RL to improve LLM reliability.Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

true

About Us Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. The Opportunity We are hiring a Regional Vice President, Enterprise Sales to build and lead our outbound-led sales motion. The RVP, Enterprise Sales will be at the forefront of driving new logo growth and engaging C-level executives across industries. This is a hunter-first, player-coach role ideal for a high-energy leader who thrives in whitespace, has a track record of outbound pipeline generation, and is ready to build and lead a high-performing team. You’ll be accountable for owning pipeline generation, closing new logos, and building the people, processes, and playbook to scale outbound-led revenue growth in the enterprise segment. If you thrive in high-growth environments and are passionate about translating GenAI innovation into measurable customer outcomes, and shaping the future of customer experience - this role is for you.  What you’ll be doing Hunter Mentality & Outbound Strategy Own and execute an outbound-first GTM motion targeting mid-market and enterprise accounts (typically <500 agents) Build and refine ICPs, persona-based messaging, outbound cadences, and prospecting strategies to drive predictable top-of-funnel activity. Collaborate with marketing and SDR teams to align on high-converting campaigns. Player-Coach Sales Leadership Lead from the front as a quota-carrying seller, personally prospecting, engaging, and closing deals. Hire, train, and coach a team of Mid-Market AEs, setting the tone for a metrics-driven, outbound culture. Instill discipline around outbound KPIs—activities, pipeline coverage, conversion rates—while celebrating grit and curiosity. Build & Scale the Function Design the team structure, territories, compensation, hiring plan, and onboarding for an outbound-led mid-market motion. Establish CRM best practices, forecasting cadences, pipeline review rituals, and enablement workflows. Partner with RevOps, Product Marketing, and Enablement to iterate quickly based on data and feedback. AI/GenAI Fluency  Understand and position the value of GenAI-powered solutions in contact center, CX, and revenue acceleration workflows. Translate technical capabilities into business outcomes tailored for mid-market buyers across ops, support, and IT. Stay ahead of GenAI trends, competitors, and evolving use cases in the customer engagement space. What you bring to the role 8–10+ years of B2B SaaS sales experience, including 3+ years in leadership managing mid-market or SMB teams. Strong track record of net-new logo acquisition via outbound prospecting—personally and as a team leader. Experience as a player-coach, balancing individual contributor responsibilities with team leadership. Comfort building from scratch—people, processes, sales motions, and culture—in a high-growth or startup environment. Familiarity with sales methodologies like MEDDIC, CCS, or Challenger, and tools like Salesforce, Outreach/Salesloft, Clari, Gong. Strong storytelling and discovery skills; able to earn trust with technical and business stakeholders alike. Preferred Background Deep familiarity with GenAI, NLP, LLMs, or ML applications in enterprise use cases. Global or multi-regional sales leadership experience (North America, EMEA, or APAC). Background in building high-performing sales teams at companies in post-Series B to pre-IPO stages. Bachelor's or Master’s degree in Business, Engineering, or a related technical discipline. Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai. 

false

Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment. Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients. In this role, you'll help the team: Co-develop production-level data science projects with our customers Analyse and investigate various kinds of data and machine learning applications across industries and use cases Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality You might be a good fit for the role if you have: Curiosity and a desire to learn new topics and skills Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public The ability to clearly explain complex topics to technical as well as non-technical audiences 2 - 10 years of experience with Python and SQL 2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn) Familiarity with data visualisation in Python, R Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL Technical skills that may help you in the role: Experience with Consulting and/or Customer-facing Data Science roles Experience with Data Engineering or MLOps Experience developing WebApps in Javascript, RShiny, or Dash Experience building APIs Experience using enterprise data science tools Passion for teaching or public speaking   What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

false

About DustWe're creating a new AI operating system that has the potential to change the way companies operate. Our mission at Dust is to transform how work gets done by letting any team and employee shape the exact agents they need to accelerate their jobs.With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We already are a core part of their jobs.We are at an exciting stage of our journey. We‘ve raised our Series A, expanded in the US, and hit the $1m and $2m ARR milestones in 2024; we aim to x5 our growth by the end of 2025.Dust is a Sequoia-backed company with an experienced and determined team of optimists (coming from companies like Stripe or OpenAI) that like to focus on users, getting great things done by shipping fast, and doesn’t take itself too seriously while doing so.This RoleAs a Partnerships Operations Manager at Dust, you will architect and scale the strategic infrastructure that powers our rapidly expanding partner ecosystem. We're seeking an experienced operator who thrives on building programs from the ground up with deep expertise in operations. You'll bring deep expertise in partnership strategy, proven ability to design scalable systems, and the strategic vision to build the next generation of partner programs.Joining Dust also means pioneering a new form of Partnership Operations. As a GenAI-native company, Dust aims to illustrate how GenAI can help redefine partner relationship management and how partnership teams can be designed with AI-powered workflows in mind.You'll own building our partnership infrastructure in the EU from strategy to execution in a fast-paced environment that rewards both strategic thinking and hands-on execution.Key ResponsibilitiesBuild the key foundations of our Partner ProgramArchitect and implement sophisticated CRM infrastructure and seamless payment collection systems, ensuring all partnership mechanics work flawlessly. You'll refine and structure our Partner Program and Enablement - creating comprehensive partner onboarding and certification programs, establishing strategic business review processes, and developing the complete partner enablement infrastructure (training modules, assessments, tiering frameworks, resource libraries).Scale & Operate the EU Partner ProgramYou will be accountable for the explosive growth of the Partner Sales channel, developing sophisticated operational systems and providing strategic support to partners throughout the entire deal lifecycle from opportunity identification to successful close. You'll build and run the partner growth engine, systematically acquiring high-value partners and driving deep engagement that delivers measurable results.Rethink partner operations with AILeverage Dust as a transformative tool to revolutionize our partnership operations by automating meeting follow-ups, generating comprehensive account summaries, surfacing actionable partner insights from communications, automating responses from partners and prospects, and streamlining all operational workflows for maximum efficiency.Build comprehensive analytics & business intelligenceCreate executive-level dashboards and reporting systems that drive decision-making, implement advanced attribution models, and develop predictive analytics to optimize partner performance and ROI across all partnership channels.Design next-generation partner programsResearch, develop, and launch innovative partnership models with schools, training agencies, or other partners that leverage AI-powered workflows, create competitive differentiation, and establish Dust as a thought leader in partnership strategy within the GenAI space.Requirements6+ years of strategic operations experience in B2B SaaS with demonstrated success building and scaling partnership programs, preferably in high-growth environmentsProven track record of program leadership with experience managing complex, multi-stakeholder initiatives and building systems that scale from startup to enterpriseAdvanced CRM and automation expertise with deep HubSpot knowledge and hands-on experience architecting sophisticated automation workflows (Zapier, Make, or similar platforms)Strategic analytical capabilities combined with exceptional cross-functional collaboration skills to influence and align Sales, Operations, Product, and C-level stakeholdersExecutive communication skills with experience presenting to leadership teams and translating complex operational strategies into clear business outcomesPreferred: Advanced technical skills including SQL proficiency, experience with BI tools (Looker, Metabase, Tableau), and understanding of API integrationsPreferred: Partnership program expertise with hands-on experience building channel partnerships, technology alliances, or marketplace strategies at scaleLocationWe're prioritizing building our team with an in-person culture at our offices in Paris and San Francisco, valuing the magic that happens when talented people work closely together.Why DustWe're not building yet another enterprise SaaS tool. We’re creating an AI OS that will fundamentally change how companies operate. We believe existing AI models are powerful enough to have a tremendous impact on the world (and will keep getting better) – the key is building the infrastructure so that they have context and explore the best interfaces for humans to interact with them.We have the unique opportunity to explore and shape the way humans interact with machines while working on a product we use ourselves every day.If you're excited about crafting products that reinvent B2B software and want to join a team that combines the best of startup culture with the backing of top-tier investors, we'd love to talk.👋 Even if you don't check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we're more interested in your potential and passion than a perfect match to our checklist.___Learn how we think and work.Our product constitution a story about our missionAgents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024

false

About Us Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. Why Join Us At our core, we are shaping how AI transforms real-world challenges in the contact center space. As part of our world-class ML team, you’ll work on developing cutting-edge LLM-powered solutions & Agentic AI, building end-to-end processing pipelines, and handling production challenges at scale—millions of interactions daily—while shaping the future of AI-powered contact centers.  If you are truly an engineer at heart, excited about turning breakthroughs in multi-agent systems, LLMs, NLP, and ML into practical outcomes through applied research, and building scalable production systems to create real product impact, you will feel right at home at Observe.AI. You’ll also have the opportunity to publish in top conferences, and influence Observe.AI’s product and platform strategy.  Beyond the tech, you’ll join a collaborative, mission-driven culture where innovation, impact, and fun go hand in hand. We value curiosity, collaboration, and the courage to push boundaries. What you’ll be doing Design & develop state-of-the-art LLM-powered AI capabilities and Agentic AI/ Multi-agent systems end-to-end, from ideation to production for Observe.AI’s product offerings, in a fast-paced startup environment. Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including LLMs and LLM-powered technologies/ paradigms, including Agentic AI. Build/ maintain highly scalable production systems that power AI capabilities on Observe.AI product/ platform. Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale. Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders. Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities to build the right solution for the right problem. Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of Observe.AI platform. Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc. What you’ll bring to the role Bachelor’s or Master’s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU. An engineering mindset with the competencies of an applied scientist.  3+ years of industry experience in building large-scale NLP/ NLU systems, with recent experience in building LLM-powered applications and Agentic systems. Strong understanding of the fundamentals of ML and NLP/ NLU, and practical aspects of building ML systems in production; backed by extensive hands-on experience in building/ scaling customer-facing ML/ NLP/ NLU applications. Good understanding of recent advances in building LLM-powered applications,  and multi-agent systems at scale.  Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining scalable machine learning systems in production. Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development Excellent communication, collaboration skills, and presentation skills. Experience with Spoken Language Understanding is a plus Published papers in top NLP/ NLU conferences or workshops are a plus Relevant open-source contributions are a plus. Perks & Benefits Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka S&E Act Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.) Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.

false

Create Your Own RoleIf you’re exceptional at what you do - whether it’s backend systems, sales, AI research, product design, or something we haven’t even thought of yet - we want to talk to you.At FurtherAI, we hire for talent and ambition first. Titles can come later.About UsAt FurtherAI, we’re building the next generation of AI agents for the insurance industry - a trillion-dollar market ready for transformation.We’ve raised a $5M seed round from top investors (YC, Nexus, South Park Commons, Converge) and have grown 10x in revenue this year alone. Our customers include some of the largest names in insurance (we recently closed a top 5 insurance company in the world), and our team combines deep AI expertise with proven company-building experience.Why Join UsRocketship Growth: Post-PMF, with revenue growing at an exceptional pace.Elite Team: Founding team includes ex-Apple AI Research, 4 ex-YC founders, and 6 ex-founders. Engineers have prior experience at Apple, Microsoft, Google, and Amazon.Technical Depth: Work alongside a staff research scientist and a team of 7 engineers solving cutting-edge problems in AI and scalable backend systems.Massive Market Impact: Insurance is the backbone of global commerce - our work reshapes how this industry operates.Founder’s Mindset: Perfect fit if you want to own big pieces of the product and possibly start your own company in the future.

false

Role DetailsLocation: San Francisco, CA. This role is based out of our San Francisco HQ and is not eligible for full-time remote work.About UsAt FurtherAI, we’re building the next generation of AI agents for the insurance industry - a trillion-dollar market ready for transformation.We’ve raised a $5M seed round from top investors (YC, Nexus, South Park Commons, Converge) and have grown 10x in revenue this year alone. Our customers include some of the largest names in insurance (we recently closed a top 5 insurance company in the world), and our team combines deep AI expertise with proven company-building experience.Now, we’re looking for an exceptional Forward Deployed Engineer to join our early team and help shape both our product and culture.Why Join UsRocketship Growth: Post-PMF, with revenue growing at an exceptional pace.Elite Team: Founding team includes ex-Apple AI Research, 4 ex-YC founders, and 6 ex-founders. Engineers have prior experience at Apple, Microsoft, Google, and Amazon.Technical Depth: Work alongside a staff research scientist and a team of 7 engineers solving cutting-edge problems in AI and scalable backend systems.Massive Market Impact: Insurance is the backbone of global commerce - our work reshapes how this industry operates.Founder’s Mindset: Perfect fit if you want to own big pieces of the product and possibly start your own company in the future.What You’ll DoBuild enterprise-grade AI agents from the ground up⁠Work closely with our CTO, Sashank, who brings experience from building speech and language models at Apple’s AI/ML orgTalk to customers, understand their flows, and translate those into robust agentic solutionsImplement cutting-edge AI capabilities in productionWork in-person from our San Francisco office (5 day week)What We’re Looking For3+ years of consumer facing engineering experience.Strong experience with backend systems (Python preferred).Clear communicator - both in person and in writing.Above all: drive, grit, and ownership. If you excel here, other requirements are secondaryAt FurtherAI, we set a high bar. We’re not looking for someone who just wants a job—we’re looking for someone who wants to build something transformative. If you thrive in environments where the pace is fast, expectations are high, and the rewards are outsized, you’ll love it here.

false

About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleWe’re looking for Senior Integrations Engineers to join our growing team! This role is instrumental in supporting our expansion in our hyper growth phase. You’ll play a key role in designing, building, and scaling our integrations powering our product. You’ll work alongside our engineers, implementation specialists, support, and product managers to build real-time and batch data integrations with our partners and clients.What You’ll DoScale up our business by designing, building, and supporting our integrations and infrastructureBuild robust healthcare integrations without compromising security, privacy, or quality. These integrations will leverage technology standards using REST-like APIs, healthcare standards such as FHIR and HL7v2, and other third-party APIs.Collaborate closely with our health system customers to deploy, troubleshoot, and support integrations. Be comfortable engaging with external partners and stakeholders.Enhance existing systems to add new functionality, and to improve performance, stability, quality, and securityAdvocate for high standards; make quality-of-life improvements to the codebase; add documentation and share knowledge; and help limit the growth of technical debtBuild deep user empathy and maintain a user-centric mindsetCommunicate regularly and effectively within and on behalf of our cross-functional product delivery teams. You’ll work with other disciplines, including design, product, machine learning, and infrastructure, and will have opportunities to learn from and contribute to projects across the companyWhat You’ll Bring5+ years of experience launching business-critical integrations with large enterprisesExperience working with technologies REST-like APIs, OAuth2.0, mTLSExcitement about working on our tech stack, which include NodeJS/TypeScript and Google Cloud PlatformPassionate about working in healthcare integrationsAbility to act with autonomy & self-direction while working well in a team environmentWillingness to pitch in wherever needed - as a fast-moving startup we need to do good work, quicklyComfortable with working across domains and languages with a curiosity to experiment & learn new thingsStrong communication with internal and external stakeholdersNice to Have2+ years of experience working with healthcare data integrationsExperienced in delivering integrations with EHRs like Oracle Health/Cerner and othersFamiliarity with one or more of the following technologies: FHIR, HL7, X12Must be willing to work from our SF or NY office at least 3x per week (Relocation assistance is available for candidates willing to move to San Francisco or New York)This position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week.Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

false

Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.We're always open to great people. If you're aligned with our mission but don't see the right role, we'd love to hear from you. What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

false

Why Ivo?Contract negotiation is the most time-consuming, costly, and difficult component of the contract lifecycle—and it hasn’t gotten much easier since the days of fax machines. Large language models have unlocked the ability to solve many contract negotiation problems at scale. Our product is best-in-market (with an ~80% trial win rate) and rapidly embedding itself into the lives of its users. Overview:We are looking for an exceptional Design Engineer to join our team in San Francisco. You will be the first Design Engineer at Ivo and have a unique opportunity to play a crucial role in shaping Ivo’s product, user experience, and overall design strategy. You’ll work closely with the leadership and engineering to create intuitive, user-centric designs that meet the needs of our customers. Ideally, you should be comfortable with both product design and front end engineering.  What You’ll DoHave significant input into the entire design and creative processDeeply understand the product to create industry leading user experiences  Build out our front end. Champion a reusable component systemCollaborate with our founders to define product strategy and roadmap priorities through a design lensEnsure we keep our quality bar high whilst shipping fast Your Qualifications:You have 3+ years of experience in product design/front end developmentYou have proficiency in Figma and React/Next.js or other modern toolingYou have a customer-first mindset with a passion for solving real-world problemsYou move fast and have experience in high-velocity teams. Ivo might be a good fit if you:Love creating the perfect product experience, but you love having impact more: Our #1 goal is building the best possible product, which means making pragmatic choices and looking for 80/20 solutions.You would describe yourself as being relentlessly resourcefulHave a strong internal sense of urgency. You have a bias towards doing things *today*, rather than tomorrow. Have experience working in a startup environment - this is preferred but not required.Are excited by AI and the adventure of building a company!

true

Role DetailsLocation: India. About UsAt FurtherAI, we’re building the next generation of AI agents for the insurance industry - a trillion-dollar market ready for transformation.We’ve raised a $5M seed round from top investors (YC, Nexus, South Park Commons, Converge) and have grown 10x in revenue this year alone. Our customers include some of the largest names in insurance (we recently closed a top 5 insurance company in the world), and our team combines deep AI expertise with proven company-building experience.Now, we’re looking for an exceptional Software Engineer to join our early team and help shape both our product and culture.Why Join UsRocketship Growth: Post-PMF, with revenue growing at an exceptional pace.Elite Team: Founding team includes ex-Apple AI Research, 4 ex-YC founders, and 6 ex-founders. Engineers have prior experience at Apple, Microsoft, Google, and Amazon.Technical Depth: Work alongside a staff research scientist and a team of 7 engineers solving cutting-edge problems in AI and scalable backend systems.Massive Market Impact: Insurance is the backbone of global commerce - our work reshapes how this industry operates.Founder’s Mindset: Perfect fit if you want to own big pieces of the product and possibly start your own company in the future.What You’ll DoBuild and scale the core product, ensuring performance, reliability, and continuous improvement.Own significant portions of the backend stack in Python.Collaborate directly with founders to set the technical direction.Operate with extreme ownership in a fast-paced, high-output environment.What We’re Looking For5+ years building products.Strong experience with backend systems (Python preferred).Clear communicator - both in person and in writing.Bonus: background in B2B SaaS and 0 - 1 experienceAbove all: drive, grit, and ownership. If you excel here, other requirements are secondaryAt FurtherAI, we set a high bar. We’re not looking for someone who just wants a job—we’re looking for someone who wants to build something transformative. If you thrive in environments where the pace is fast, expectations are high, and the rewards are outsized, you’ll love it here.

false

About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role We are seeking a skilled AI Banking Data Specialist to enhance xAI’s AI models by providing high-quality data annotations and inputs tailored to banking contexts. In this role, you will leverage your expertise in corporate banking operations, retail banking services, loan processing, customer account management, and financial product offerings to support the training of AI systems. You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world banking dynamics. This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment. Responsibilities Utilize proprietary software to provide accurate input and labels for banking projects, ensuring high-quality data for AI model training. Deliver curated, high-quality data for scenarios involving corporate banking operations, retail banking services, loan processing, customer account management, and financial product offerings. Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies. Assist in designing and improving efficient annotation tools tailored for banking data. Select and analyze complex problems in banking fields aligned with your expertise to enhance AI model performance. Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability. Required Qualifications Professional experience in banking or related fields (e.g., corporate banking, retail banking, or roles involving loan processing, customer account management, or financial product offerings). Proficiency in reading and writing informal and professional English. Strong communication, interpersonal, analytical, and organizational skills. Excellent reading comprehension and ability to exercise autonomous judgment with limited data. Passion for technological advancements and innovation in banking. Preferred Qualifications Relevant certification or training (e.g., Chartered Financial Analyst (CFA), Commercial Banking & Credit Analyst (CBCA), Financial Risk Manager (FRM), anti-money laundering certifications such as CAMS, or accounting certifications such as CPA). Experience mentoring or training others in banking or financial services practices. Comfort with recording audio or video sessions for data collection. Familiarity with AI or data annotation workflows in a technical setting. Location, Hourly & Other Expectations This position is based in Palo Alto, CA (in-office, 5 days per week) or fully remote with strong self-motivation required. US-based candidates cannot be hired in Wyoming or Illinois at this time. Visa sponsorship is not available. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training, and 9:00am - 5:30pm in their own timezone thereafter. For remote work, candidates must use a Chromebook, Mac with macOS 11.0 or later, or Windows 10 or later, and have reliable access to a smartphone. Interview Process After submitting your application, our team will review your CV and statement of exceptional work. If your application advances, you will be invited to a 15-minute phone interview to discuss basic qualifications. Successful candidates will proceed to the main process, which includes: Technical deep-dive: Discussing your legal and compliance expertise and data annotation experience. A take-home challenge focused on legal or compliance data labeling or analysis. A meet-and-greet with the wider team. Our goal is to complete the main interview process within one week. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

false

About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role We are seeking a skilled AI Sell-Side Finance Data Specialist to enhance xAI’s AI models by providing high-quality data annotations and inputs tailored to sell-side finance contexts. In this role, you will leverage your expertise in trading strategies, trade execution, investment banking transactions, client sales, regulatory compliance, operational workflows, and risk assessment to support the training of AI systems. You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world sell-side finance dynamics. This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment. Responsibilities Utilize proprietary software to provide accurate input and labels for sell-side finance projects, ensuring high-quality data for AI model training. Deliver curated, high-quality data for scenarios involving trading strategies, trade execution, investment banking transactions, client sales, regulatory compliance, operational workflows, and risk assessment. Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies. Assist in designing and improving efficient annotation tools tailored for sell-side finance data. Select and analyze complex problems in sell-side finance fields aligned with your expertise to enhance AI model performance. Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability. Required Qualifications Professional experience in sell-side finance or related fields (e.g., trader, execution specialist, investment banker, sales professional, compliance officer, operations specialist, or risk manager). Proficiency in reading and writing informal and professional English. Strong communication, interpersonal, analytical, and organizational skills. Excellent reading comprehension and ability to exercise autonomous judgment with limited data. Passion for technological advancements and innovation in sell-side finance. Preferred Qualifications Relevant certification or advanced training (e.g., Series 7, Series 63, CFA, FRM, or similar finance-related certification). Experience mentoring or training others in sell-side finance practices, such as trading, sales, or compliance. Comfort with recording audio or video sessions for data collection. Familiarity with AI or data annotation workflows in a technical setting. Location, Hourly & Other Expectations This position is based in Palo Alto, CA (in-office, 5 days per week) or fully remote with strong self-motivation required. US-based candidates cannot be hired in Wyoming or Illinois at this time. Visa sponsorship is not available. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training, and 9:00am - 5:30pm in their own timezone thereafter. For remote work, candidates must use a Chromebook, Mac with macOS 11.0 or later, or Windows 10 or later, and have reliable access to a smartphone. Interview Process After submitting your application, our team will review your CV and statement of exceptional work. If your application advances, you will be invited to a 15-minute phone interview to discuss basic qualifications. Successful candidates will proceed to the main process, which includes: Technical deep-dive: Discussing your legal and compliance expertise and data annotation experience. A take-home challenge focused on legal or compliance data labeling or analysis. A meet-and-greet with the wider team. Our goal is to complete the main interview process within one week. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

true

About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role We are seeking a skilled AI Buy-Side Finance Data Specialist to enhance xAI’s AI models by providing high-quality data annotations and inputs tailored to buy-side finance contexts. In this role, you will leverage your expertise in portfolio management, hedge fund strategies, private equity investments, venture capital deal sourcing, and high-frequency trading algorithms to support the training of AI systems. You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world buy-side finance dynamics. This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment. Responsibilities Utilize proprietary software to provide accurate input and labels for buy-side finance projects, ensuring high-quality data for AI model training. Deliver curated, high-quality data for scenarios involving portfolio management, hedge fund strategies, private equity investments, venture capital deal sourcing, and high-frequency trading algorithms. Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies. Assist in designing and improving efficient annotation tools tailored for buy-side finance data. Select and analyze complex problems in buy-side finance fields aligned with your expertise to enhance AI model performance. Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability. Required Qualifications Professional experience in buy-side finance or related fields (e.g., portfolio manager, hedge fund analyst, private equity professional, venture capitalist, or high-frequency trading specialist). Proficiency in reading and writing informal and professional English. Strong communication, interpersonal, analytical, and organizational skills. Excellent reading comprehension and ability to exercise autonomous judgment with limited data. Passion for technological advancements and innovation in buy-side finance. Preferred Qualifications Relevant certification or advanced training (e.g., CFA, CAIA, or similar finance-related certification). Experience mentoring or training others in buy-side finance or investment practices. Comfort with recording audio or video sessions for data collection. Familiarity with AI or data annotation workflows in a technical setting. Location, Hourly & Other Expectations This position is based in Palo Alto, CA (in-office, 5 days per week) or fully remote with strong self-motivation required. US-based candidates cannot be hired in Wyoming or Illinois at this time. Visa sponsorship is not available. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training, and 9:00am - 5:30pm in their own timezone thereafter. For remote work, candidates must use a Chromebook, Mac with macOS 11.0 or later, or Windows 10 or later, and have reliable access to a smartphone. Interview Process After submitting your application, our team will review your CV and statement of exceptional work. If your application advances, you will be invited to a 15-minute phone interview to discuss basic qualifications. Successful candidates will proceed to the main process, which includes: Technical deep-dive: Discussing your legal and compliance expertise and data annotation experience. A take-home challenge focused on legal or compliance data labeling or analysis. A meet-and-greet with the wider team. Our goal is to complete the main interview process within one week. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

false

About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role We are seeking a skilled AI Financial Analysis Data Specialist to enhance xAI’s AI models by providing high-quality data annotations and inputs tailored to financial analysis contexts. In this role, you will leverage your expertise in equity valuation, fixed income analysis, derivatives pricing, macroeconomic trends, forex trading, cryptocurrency markets, and options strategies to support the training of AI systems. You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world financial analysis dynamics. This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment. Responsibilities Utilize proprietary software to provide accurate input and labels for financial analysis projects, ensuring high-quality data for AI model training. Deliver curated, high-quality data for scenarios involving equity valuation, fixed income analysis, derivatives pricing, macroeconomic trends, forex trading, cryptocurrency markets, and options strategies. Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies. Assist in designing and improving efficient annotation tools tailored for financial analysis data. Select and analyze complex problems in financial analysis fields aligned with your expertise to enhance AI model performance. Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptabil Required Qualifications Professional experience in financial analysis or related fields (e.g., equity analyst, FICC analyst, structured products/derivatives specialist, macro strategist, forex trader, crypto analyst, or options trader). Proficiency in reading and writing informal and professional English. Strong communication, interpersonal, analytical, and organizational skills. Excellent reading comprehension and ability to exercise autonomous judgment with limited data. Passion for technological advancements and innovation in financial analysis. Preferred Qualifications Relevant certification or advanced training (e.g., CFA, FRM, Series 7, or similar financial certification). Experience mentoring or training others in financial analysis or trading practices. Comfort with recording audio or video sessions for data collection. Familiarity with AI or data annotation workflows in a technical setting. Location, Hourly, and Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. You must own and have reliable access to a smartphone. Interview Process After submitting your application, our team will review your CV and statement of exceptional work. If your application advances, you will be invited to a 15-minute phone interview to discuss basic qualifications. Successful candidates will proceed to the main process, which includes: Technical deep-dive: Discussing your legal and compliance expertise and data annotation experience. A take-home challenge focused on legal or compliance data labeling or analysis. A meet-and-greet with the wider team. Our goal is to complete the main interview process within one week. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

false

About Handshake AIHandshake is building the career network for the AI economy. Our three-sided marketplace connects 18 million students and alumni, 1,500+ academic institutions across the U.S. and Europe, and 1 million employers to power how the next generation explores careers, builds skills, and gets hired.Handshake AI is a human data labeling business that leverages the scale of the largest early career network. We work directly with the world’s leading AI research labs to build a new generation of human data products. From PhDs in physics to undergrads fluent in LLMs, Handshake AI is the trusted partner for domain-specific data and evaluation at scale.This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.Now’s a great time to join Handshake. Here’s why:Leading the AI Career Revolution: Be part of the team redefining work in the AI economy for millions worldwide.Proven Market Demand: Deep employer partnerships across Fortune 500s and the world’s leading AI research labs.World-Class Team: Leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, just to name a few.Capitalized & Scaling: $3.5B valuation from top investors including Kleiner Perkins, True Ventures, Notable Capital, and more.About the RoleAs a Staff Research Scientist, you will play a pivotal role in shaping the future of large language model (LLM) alignment by leading research and development at the intersection of data quality and post-training techniques such as RLHF, preference optimization, and reward modeling.You will operate at the forefront of model alignment, with a focus on ensuring the integrity, reliability, and strategic use of supervision data that drives post-training performance. You’ll set research direction, influence cross-functional data standards, and lead the development of scalable systems that diagnose and improve the data foundations of frontier AI.You will:Lead high-impact research on data quality frameworks for post-training LLMs — including techniques for preference consistency, label reliability, annotator calibration, and dataset auditing.Design and implement systems for identifying noisy, low-value, or adversarial data points in human feedback and synthetic comparison datasets.Drive strategy for aligning data collection, curation, and filtering with post-training objectives such as helpfulness, harmlessness, and faithfulness.Collaborate cross-functionally with engineers, alignment researchers, and product leaders to translate research into production-ready pipelines for RLHF and DPO.Mentor and influence junior researchers and engineers working on data-centric evaluation, reward modeling, and benchmark creation.Author foundational tools and metrics that connect supervision data characteristics to downstream LLM behavior and evaluation performance.Publish and present research that advances the field of data quality in LLM post-training, contributing to academic and industry best practices.Desired CapabilitiesPhD or equivalent experience in machine learning, NLP, or data-centric AI, with a track record of leadership in LLM post-training or data quality research.5 years of academic or industry experience post-docDeep expertise in RLHF, preference data pipelines, reward modeling, or evaluation systems.Demonstrated experience designing and scaling data quality infrastructure — from labeling frameworks and validation metrics to automated filtering and dataset optimization.Strong engineering proficiency in Python, PyTorch, and ecosystem tools for large-scale training and evaluation.A proven ability to define, lead, and execute complex research initiatives with clear business and technical impact.Strong communication and collaboration skills, with experience driving strategy across research, engineering, and product teams.Extra CreditExperience with data valuation (e.g. influence functions, Shapley values), active learning, or human-in-the-loop systems.Contributions to open-source tools for dataset analysis, benchmarking, or reward model training.Familiarity with evaluation challenges such as annotation disagreement, subjective labeling, or multilingual feedback alignment.Interest in the long-term implications of data quality for AI safety, governance, and deployment ethics.PerksHandshake delivers benefits that help you feel supported—and thrive at work and in life.The below benefits are for full-time US employees.🎯 Ownership: Equity in a fast-growing company💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching🍼 Family Support: Paid parental leave, fertility benefits, parental coaching💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend📚 Growth: $2,000 learning stipend, ongoing development💻 Remote & Office: Stipends for home office setup, internet, commuting, and free lunch/gym in our SF office🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days, winter #ShakeBreak where our whole office closes for a week!🤝 Connection: Team outings & referral bonusesExplore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.

false

About Handshake AIHandshake is building the career network for the AI economy. Our three-sided marketplace connects 18 million students and alumni, 1,500+ academic institutions across the U.S. and Europe, and 1 million employers to power how the next generation explores careers, builds skills, and gets hired.Handshake AI is a human data labeling business that leverages the scale of the largest early career network. We work directly with the world’s leading AI research labs to build a new generation of human data products. From PhDs in physics to undergrads fluent in LLMs, Handshake AI is the trusted partner for domain-specific data and evaluation at scale.This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.Now’s a great time to join Handshake. Here’s why:Leading the AI Career Revolution: Be part of the team redefining work in the AI economy for millions worldwide.Proven Market Demand: Deep employer partnerships across Fortune 500s and the world’s leading AI research labs.World-Class Team: Leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, just to name a few.Capitalized & Scaling: $3.5B valuation from top investors including Kleiner Perkins, True Ventures, Notable Capital, and more.About the RoleAs a Staff Research Scientist, you will drive frontier research on how we define intelligence of frontier models, i.e. develop benchmarks and measurements that help the research community to understand how large language models (LLMs) understand, reason, and interact with human knowledge. You will:Lead teams of researchers to produce original research in LLM evaluation methodologies, interpretability, and human-AI knowledge alignment.Develop novel frameworks and assessment techniques that reveal deep insights into model capabilities, limitations, and emergent behaviors.Collaborate with engineers to translate research breakthroughs into scalable benchmarks, evaluation systems, and standards.Pioneer new approaches to measuring reasoning, alignment, and trustworthiness in frontier AI systems.Author high-quality code to enable large-scale experimentation, reproducible evaluation, and knowledge assessment workflows.Publish in top-tier conferences and journals, establishing new directions in the science of AI evaluation.Work cross-functionally with leadership, engineers, and external partners to set industry standards for responsible AI evaluation and alignment. Desired CapabilitiesPhD or equivalent research experience in machine learning, computer science, cognitive science, or related fields with focus on AI evaluation, interpretability, or model understanding.6+ years of academic or industry experience post-doc in a research-first environmentStrong background in LLM research, evaluation methodologies, and/or foundational AI assessment techniques.Proven ability to independently design, lead, and execute evaluation research programs with novel data types end-to-end.Deep proficiency in Python and PyTorch for large-scale model analysis, benchmarking, and evaluation.Experience building or leading novel benchmark development, systematic model assessment, or interpretability studies.Strong publication record in post-training, evaluation, or interpretability that demonstrates field-defining contributions.Ability to clearly communicate complex insights and influence both technical and non-technical stakeholders.Extra CreditExperience with RLHF, agent modeling, or AI alignment research.Familiarity with data-centric AI approaches, synthetic data generation, or human-in-the-loop systems.Understanding of challenges in scaling foundation models (training stability, safety, inference efficiency).Contributions to open-source libraries or research tooling.Interest in the societal impact, deployment ethics, and governance of frontier AI systems.PerksHandshake delivers benefits that help you feel supported—and thrive at work and in life.The below benefits are for full-time US employees.🎯 Ownership: Equity in a fast-growing company💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching🍼 Family Support: Paid parental leave, fertility benefits, parental coaching💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend📚 Growth: $2,000 learning stipend, ongoing development💻 Remote & Office: Stipends for home office setup, internet, commuting, and free lunch/gym in our SF office🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days, winter #ShakeBreak where our whole office closes for a week!🤝 Connection: Team outings & referral bonusesExplore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.