Human Resources Specialist Jobs

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We’re looking for a Field Application Engineer who’s wired for AI/ML, fluent in real-world problem-solving, and excited to build with the people actually using what we make. You will collaborate closely with the sales team and enterprise customers, leveraging your deep technical knowledge in AI to drive the adoption of our products and solutions. This is a customer-facing role that requires both technical expertise and excellent communication skills to convey complex technical concepts to non-technical stakeholders. This role is remote or hybrid based out of Belgrade, Serbia. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You’ve lived in the AI/ML trenches, whether as a field engineer, a solutions architect, or the one tapped in when things needed to “just work.” You speak both machine and human. Whether it’s a researcher or a skeptical executive, you know how to break things down and bring them to life. You’re fired up about generative models, LLMs, and the edge of what’s possible when software meets purpose-built silicon. Work directly with customers in meetings, presentations, and workshops to understand their technical challe

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity AI is a top strategic priority for New Relic, and the Bengaluru design team is at the center of it. The team works across three closely related product clusters: autonomous incident response (SRE Agent, Autopilot, and Intelligent RCA), the intelligence and platform layer that powers them (Ground Truth, Agentic Platform, and New Relic AI), and AIOps for event correlation and incident management. These products share a common design challenge: users need to trust systems that act autonomously, and building that trust through good design is genuinely hard work. This is an on-site role in Bengaluru. Your designers are there, and many of your engineering and product partners are too. Being present — in standups, reviews, and the quick conversations before a decision gets made — is part of how you'll build the relationships that make design effective. You'll also collaborate with design, product, and engineering partners in the US and Spain, so operating across time zones and communicating well in writing are part of the job. You'll manage a small team of designers and own the quality of the work across these products. The design questions here don't have established answers — how do you make an autonomous system legible? How do you build user trust in AI-generated root cause analysis? How do you design a handoff from machine decision to human judgment? If you're already working in AI product design, or actively building toward it, and you want to lead a team

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As an AI Reimagination Engineer in Micron's Generative AI Center of Excellence (GenAI COE), you have an outstanding chance to transform how businesses function. You will partner with different business areas to break down large, manual, multi-step processes and redesign them into effective, autonomous systems. This position combines process reimagination with AI systems engineering, making you a key part of the transformation journey. You will collaborate closely with the GenAI COE, IT architecture, security, and project teams. You will lead projects from the initial redesign to the final build, delivering solutions that business teams can adopt and scale. Responsibilities: Decompose end-to-end processes: Map current-state flows, quantify effort and risk, and lead eliminate/simplify/agentify analysis before automation. Architect the agentic solution: Build future-state flows and AI architecture, including task and agent decomposition, orchestration patterns, tool and data access, memory and context strategy, and human-in-the-loop controls. Translate inventions into buildable solutions by developing agent workflows, composing prompt and context strategies, MCP/connector and integration requirements, and evaluation criteria. Follow Micron's “Secure by Design”

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As an AI Reimagination Engineer in Micron's Generative AI Center of Excellence (GenAI COE), you have an outstanding chance to transform how businesses function. You will partner with different business areas to break down large, manual, multi-step processes and redesign them into effective, autonomous systems. This position combines process reimagination with AI systems engineering, making you a key part of the transformation journey. You will collaborate closely with the GenAI COE, IT architecture, security, and project teams. You will lead projects from the initial redesign to the final build, delivering solutions that business teams can adopt and scale. Responsibilities: Decompose end-to-end processes: Map current-state flows, quantify effort and risk, and lead eliminate/simplify/agentify analysis before automation. Architect the agentic solution: Build future-state flows and AI architecture, including task and agent decomposition, orchestration patterns, tool and data access, memory and context strategy, and human-in-the-loop controls. Translate inventions into buildable solutions by developing agent workflows, composing prompt and context strategies, MCP/connector and integration requirements, and evaluation criteria. Follow Micron's “Secure by Design” and data-classification standards. Prototype and build: Construct working agentic solutions, or direct their build with platform engineers, validating fit and value prior to full delivery. Engine

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role As a Senior IAM Engineer on the Security team, you will set the standard for identity and access across Verkada, owning how access is defined, granted, reviewed, and revoked throughout our infrastructure. From codifying identity boundaries in Terraform and Rego to driving least privilege across AWS roles and policies on zero trust principles, your work will turn access management from a manual ticket queue into a self-service system powered by scripts and agentic workflows. What You'll Do Manage identity and access infrastructure as code in Terraform, with peer-reviewed change control, drift detection, and policy-as-code. Advance zero trust controls for engineering access: short-lived credentials, just-in-time elevation, and the elimination of standing privilege. Own the access lifecycle for both human and non-human identities: join

Your wellbeing, our mission. Join a company shaping a healthier world. GET TO KNOW US At Wellhub we're revolutionizing workplace wellness. Our platform connects employees worldwide to the best partners for fitness, mindfulness, therapy, nutrition, and sleep—all in one simple subscription. Headquartered in NYC with team members in Europe, North America and South America, we’re on a mission to make every company a wellness company. We believe work should be fulfilling, inspiring, and balanced. Here, you’ll find a team that values wellbeing, collaboration, and different perspectives, where passion and creativity push boundaries to create real impact. Your contributions will help shape a healthier, more balanced world for you and millions of people globally. Join us in redefining the future of wellbeing! THE OPPORTUNITY We are hiring a Lifecycle Marketing Specialist to our Marketing - Wellz team in São Paulo ! Wellz by Wellhub is our corporate mental health platform, delivering measurable, science-backed results for companies and their employees. By combining technology with human expertise, Wellz offers personalized journeys including online therapy, group sessions, interactive content, and 24/7 specialist chat support. Through data-driven insights and strategic dashboards, we also empower HR leaders to monitor wellbeing, boost engagement, and demonstrate ROI, making quality mental health support accessible and scalable. As our User Growth Lead, you'll own the CRM and Lifecycle Marketing programs for Wellz digital products, designing and optimizing the full user journey across acquisition, activation, engagement, retention, reactivation, and recovery. You'll work directly in CleverTap to drive growth across Brazil and Italy. YOUR IMPACT Lead initiatives across the full user journey, developing comprehensive marketing plans and lifecycle programs across Email, Push, and WhatsApp, managing KPIs, forecasting initiative impact, and leveraging segm

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. Amplitude is looking for a Senior Salesforce Platform Engineer to support the scaling and ongoing evolution of our go-to-market (GTM) systems. You'll own end-to-end visibility into our Salesforce platform, from day-to-day configuration and support to long-term architecture and improvement. As part of our GTM Engineering team, you’ll partner with Sales, GTM Operations, Finance, Product & Engineering, and GTM leadership to deliver well-governed solutions across Salesforce and connected platforms like CPQ, NetSuite, Amplitude, and Snowflake. What You'll Do Hands-on platform administration, configuration, troubleshooting, maintenance, testing, upgrades, and user support Maintain and optimize CPQ, pricing, quoting, and opportunity workflows to support the quote-to-cash process Serve as the escalation line of support for Salesforce, handling escalated i

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We’re looking for a Field Application Engineer who’s wired for AI/ML, fluent in real-world problem-solving, and excited to build with the people actually using what we make. You will collaborate closely with the sales team and enterprise customers, leveraging your deep technical knowledge in AI to drive the adoption of our products and solutions. This is a customer-facing role that requires both technical expertise and excellent communication skills to convey complex technical concepts to non-technical stakeholders. This role is remote based out of North America with preference near one of our main hubs Santa Clara, CA; Boston, MA; or Toronto,ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You’ve lived in the AI/ML trenches, whether as a field engineer, a solutions architect, or the one tapped in when things needed to “just work.” You speak both machine and human. Whether it’s a researcher or a skeptical executive, you know how to break things down and bring them to life. You’re fired up about generative models, LLMs, and the edge of what’s possible when software meets purpose-built silicon. Work directly with customers in mee

Next Generation Fellowship Programme (PhD) Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Start Date: 1st February 2027 - you must be available to join on this date in order to participate in the induction and follow-on training provided. Fast-track your career in technology consulting through one of Capco's flagship early careers programmes. The Role Our Next Generation Fellowship Programme is designed for exceptional recent or upcoming doctoral graduates who want to apply their research expertise to solving complex business and technology challenges. Running for over ten years, the programme accelerates technically gifted individuals into consulting careers, providing opportunities to work alongside experienced consultants, former fellows, and industry experts on some of the most innovative transformation programmes in financial services. As a Fellow, you will bridge the gap between business strategy and technology implementation, helping clients solve complex challenges through research, analysis, innovation, and technology. You’ll also explore how approved AI tools, automation, and AI-enabled ways of working can improve the speed, quality, and insight of your work, while applying human judgement and responsible AI practices. The variety of work means no two projects are the same, allowing you to develop expertise across multiple domains while shaping your own career path. What You’ll Do Contribute to technology strategy, digital transformation, cloud adoption and modernisation programmes for financial services clients. Apply research, analysis and structured problem-solving to market analysis, proposition design and complex business and technology challenges. Support projects involving artificial intelligence, emerging technologies, cybersecurity, resilience, sustainability and large-scale transformation. Use approved AI tools and AI-enabled workflows where appropriate to accelerate research, analysis, prototyping and d

At Lyft, our mission is to improve people's lives with the world's best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization. Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company's vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry from our San Francisco and New York offices. The Customer Care team is at the forefront of building intelligent AI agents that transform how Lyft delivers customer support. As AI capabilities evolve rapidly, we're moving beyond traditional automation to create AI agents that can understand complex customer needs, make intelligent decisions, and resolve issues with human-level quality. This team works cross-functionally to design, deploy, and scale AI agents that handle real customer conversations and empower our human agents with more information to solve issues. They work alongside our support ops and insights teams to create exceptional experiences when our customers need help most. Responsibilities: Build and optimize AI agents that handle customer support interactions across chat and voice channels Partner directly with engineering, data science, and ML teams to design agent capabilities and behaviors Write, test, and refine prompt logic and conversation flows for specific customer use cases Partner with support operations teams to understand workflows, pain points, and opportunities Run rapid feedback loops between customer interactions and product development to continuously improve agent performance Serve as the in-house expert on AI agent development,

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the team Engineering the future of customer support — at global scale 🌍 We believe exceptional customer service is more than just a feature, it’s a fundamental part of who we are. That’s why we’ve built our own internal support tooling from the ground up, tailored to help our customer, courier, and merchant support teams shine in every interaction. As we scale our operations from 30 to 60 countries, supporting millions of users and partners, our internal tools need to scale with us. The Support Engineering group is at the heart of this mission. We build high-performance admin applications and core operational tools that empower our support teams to work smarter and faster. A key part of this is our in-house chat platform, which already handles around 5 million conversations every month. On top of this foundation, we’re developing advanced features to reduce manual work, improve communication, and proactively resolve issues — often before our users even notice them. Our systems range from automated reach-outs for delayed orders to deeply integrated tools that enable our support teams to deliver assistance quickly, reliably, and with a human touch. By removing inefficiencies and automating repetitive tasks, we’re ensuring that our users and partners receive world-class support at scale. About the role We’re now looking for a Backend Engineer (Golang) to join us in building scalable, low-latency systems that power these tools and shape the future of customer support. You’ll work on impactful products that directly influence how millions of people experience our platform every day. What you'll be doing Build and maintain high-throughput backend services usin

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Staff Software Engineer for our Frontier Security AI team. Snowflake's Frontier Security AI teams develop production-grade LLM applications, intelligent agents, AI infrastructure, and evaluation systems for enterprise customers — products that must meet a high bar for quality, security, reliability, and efficiency while operating over sensitive data at large scale. In this role, you will lead the design and development of our Agentic Harness and agent evaluation platform, working across product, infrastructure, applied AI, security, and modeling teams to take new capabilities from prototype to dependable customer value. AS A STAFF SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL: Architect and build the Agentic Harness that executes complex, multi-step AI workflows across models, tools, data, and services. Design stable interfaces for tool execution, context construction, state management, memory, permissions, retries, fallbacks, and human review. Own agent quality end to end by building evaluation harnesses, representative datasets, automated graders, experiment pipelines, and release gates. Convert ambiguous reports such as "the agent feels worse" into measurable failure modes, reproducible tests, and durable fixes. Analyze production agent trajectories to identif

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Description About Our Team Our team builds and enables scalable, cloud-native software platforms that power critical manufacturing and business operations. We use modern full stack engineering practices and AI-driven technologies to create innovative solutions that improve automation, decision making, and operational efficiency. Position Overview We are seeking an AI-Centric Full Stack Software Engineer to design, build, and support modern software solutions with a strong focus on AI-enabled applications and intelligent automation. This role goes beyond simply using AI coding assistants. You will have strong understanding of Prompt Engineering, Vibe Coding, Rework Rate Reduction and leverage Custom Agents, and integrations built around the Model Context Protocol (MCP). You will apply strong software engineering fundamentals to assemble, integrate, and operationalize AI capabilities into real production systems being accountable for Full-Stack solutions. The goal of this role is to significantly shorten development and feedback cycles by automating routine engineering work, augmenting human decision-making, and embedding intelligence directly into our development workflows and the applications we deliver! Responsibilities Design, develop, test, deploy, and maintain scalable full stack applications and platform services. Own software solutions end-to-end, including system design, architecture, implementation, testin

On-site | Vancouver Office – 564 Beatty St About EviSmart EviSmart builds the automation layer that dental laboratories run on. A dental lab is a manufacturing operation. A case arrives from a dentist — a 3D scan of a patient's mouth and a prescription — and leaves as a crown, bridge, denture or night guard. In between sit a dozen manual steps: monitoring scanner portals, retyping cases into lab software, checking scan quality, interpreting handwritten prescriptions, designing the restoration. We automate that pipeline. Our software connects to 15 intraoral scanner portals and more than five lab management systems, pulls cases the moment they arrive, reads the prescription, maps it into the lab's own product catalogue, checks the scan, and routes it to design. We serve roughly 6,000 customers across 28 countries from offices in Vancouver, Manila, Seoul and Shenzhen. The automation works. It does not yet work well enough, consistently enough, to run unattended — and closing that gap is the highest-leverage technical problem in the company. What you'll do Establish measurement. Build per-model, per-customer, per-category accuracy reporting that Product and Sales can act on. Nothing else you do matters until this exists. Build the correction flywheel. Capture the quality-control corrections our customers already make, turn them into structured, versioned training data, and close the loop with human review where confidence is low. Standardize the squads. One deployment path, one evaluation harness, one model and dataset registry across restoration design, scan quality, prescription extraction and agents. Solve multi-tenant model behaviour. Thousands of customer-specific product codes, prescription conventions and unwritten preferences sitting over a shared model base — without building a bespoke model per customer. Take inference to production scale. Move workloads from on-premise to cloud with understood cost per inference and real concurrency headroom. •

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Staff Machine Learning Engineer, Identity Verification As a Staff Machine Learning Engineer on the Identity Verification team within the Platform group, you'll own the ML systems that determine whether a person, document, and capture session are legitimate. Every signup, account recovery, and high-risk action at Coinbase depends on these models. You'll lead the technical strategy for IDV ML end-to-end, from architecture through production enforcement, protecting the integrity of millions of accounts. What you'll do: Own the full IDV ML stack, including document authenticity models, 1:1 and 1:N face-match, liveness detection, presentation-attack detection, and deepfake/injection detection from feature pipeline through threshold tuning and production enforcement. Build identity-graph systems using GNNs that cluster accounts sharing biometric, device, and document signals to detect synthetic-identity rings and coordinated fraud at onboarding. Develop behavioral and device-intelligence models for capture-session anomaly detection, bot-vs-human classification, and device-fingerprint-based risk scoring at real-time latency. Drive vendor ML strategy by benchmarking external models against a Coinbase-owned evaluation set, designing dynamic routing logic across providers and geographies, and building the in-house evaluation layer that catches regressions befo