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Resolve AI.jpg

Enterprise Development Representative

Resolve AI
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US.svg
United States
Full-time
Remote
false
About Resolve AIAt Resolve, we’re building Agentic AI that empowers software engineers by automating production engineering and SRE workflows. Our models deeply understand production systems — from code to databases — taking on repetitive, high-pressure tasks and handling critical incidents autonomously, so engineers can focus on building.Our founders (Spiros Xanthos and Mayank Agarwal) are the core creators of OpenTelemetry and led Splunk Observability. They have had 2 successful exits to Splunk and VMware.We raised a $35M Seed round from top-tier investors like Greylock, Unusual Ventures, Jeff Dean (Chief Scientist, Google DeepMind), Thomas Dohmke (CEO, GitHub), Matt Garman (CEO, AWS), Reid Hoffman (Founder, LinkedIn) and Fei Fei Li (Professor, Stanford).Joining Resolve AI at this stage of our journey is a once-in-a-lifetime opportunity. You’ve already decided that you want to work at an AI-native company that’s pushing the limits of how engineers work, and now you’re looking for the right one. At Resolve, we’ve brought together experienced (and successful) entrepreneurs, experts in understanding our customers, and leading innovators in AI and distributed systems. Now we need the right people to help us tell that story—one prospect at a time. Join Resolve as a founding go-to-market team member, helping us build and execute the playbook to drive repeatable revenue while also building a respected brand within the engineering community.What You’ll DoUse modern tools, including leading sales prospecting products, AI, and your own creativity, to identify high-propensity leads.Engage these leads with timely, relevant messaging across channels, including email, calls, social media, and events, to schedule meetings with engineering personas that generate pipeline.Rapidly engage and qualify inbound leads to provide immediate value to the prospect while determining their potential fit for Resolve’s offerings.Work hand-in-hand with colleagues in GTM to deliver delightful prospect experiences, primarily by sharing feedback to create a cohesive prospect engagement strategy that prospects genuinely value.Serve as the ear to the ground for the GTM organization, staying up to date on product knowledge, industry trends, and the competitive landscape, quickly becoming a knowledgeable expert in our customers and our space.Record your activity and what you’re learning in a system of record (aka CRM), enabling the Resolve GTM organization to quickly learn what’s working, what’s not, and how to execute at the highest level.What We’re Looking For0.5 to 1+ years of experience in a pipeline-generation role, ideally within a tech startup or other fast-paced, high-growth environment.Demonstrated ability to source and qualify leads, ideally with your own playbook. You’re the person your peers want to emulate.You’ve been a top performer because you know what it takes to get there. You track the input to predict the output.You have the confidence that you’ll figure it out, and the sense of urgency to move quickly to make it happen. You thrive in fast-paced, sometimes ambiguous environments, and are capable of handling change and uncertainty with confidence. You’ll challenge the status quo when things aren’t working, and you’ll be open to new ideas that deliver better results.You’re fluent in the language of your prospects, both in written and spoken form (maybe even memes?), and you can navigate conversations whether you’re speaking with an engineering leader or an on-call engineer.You need to like technology. We’ll give you the tools to be highly successful, but we expect you to use them, and even introduce new tools that give us a leg up. You’ll need some familiarity with CRM systems (e.g., Salesforce, HubSpot), as well as sales engagement tools like Apollo. We expect you to become ultra proficient with tech so that you can exceed your goals in support of company goals.Why Join Resolve AI?Make a Real Impact: Join a mission-driven team tackling complex challenges that deliver meaningful outcomes for customers and revolutionize engineering operations.Shape Agentic AI’s Future: Help build the next frontier in enterprise software and define its transformative impact.Own Your Work: Take end-to-end responsibility in your role in a collaborative, high-trust environment.Accelerate Your Career: Grow alongside industry leaders in a fast-paced environment, gaining invaluable experience and opportunities to propel your career to new heights.Competitive Benefits: Competitive Pay Packages with full benefits including:Equity with Early Exercise & QSBS EligibilityComprehensive Medical, Dental, and Vision InsuranceMonthly Housing StipendFlexible (Unlimited) Paid Time OffVisa Sponsorship & Immigration Support401(k) PlanParental LeaveDiscretionary Tech Benefit StipendDaily in-office Lunches and DinnersWe are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. 
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Faculty.jpg

Technical Director - Financial Services

Faculty
0
0
-
0
GB.svg
United Kingdom
Full-time
Remote
false
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.We're looking for a Technical Director to join our Professional and Financial Services business unit. This is a new, senior-level position created due to rapid growth and increased demand. The ideal candidate will be an established technology leader with a strong background in AI and machine learning, particularly within the financial services sector. You will balance technical expertise with commercial and strategic leadership, driving the development and delivery of high-caliber AI solutions for our clients, which include banks, asset managers, insurers, and law firms. Your role will be to lead and mentor a team of world-class data scientists and machine learning engineers, and you will work with the business unit leadership to develop a differentiated technical vision for the business unit.What you'll doTechnical Leadership and DeliveryProvide hands-on technical guidance for complex, high-priority projects (40% of your time).Lead the development and delivery of advanced AI solutions and ensure technical excellence across the business unit.Advise on solution architecture, advanced modelling and engineering best practices.Identify and implement new tools and processes to enhance delivery quality.Team Leadership and StrategyDefine and champion the technical vision for our professional and financial services clients.Lead recruiting, team structure, and professional development for technical staff.Collaborate with the Business Unit Director on commercial strategy and project resourcing.Business DevelopmentAct as a technical authority in client meetings to secure and expand market opportunities.Create and share technical thought leadership through conferences, articles, and other media.Identify new market opportunities and technologies.Who we're looking forAn experienced technology leader with a track record of successfully leading AI/ML strategy and project delivery.Strong understanding of MLOps, with experience deploying commercially valuable AI applications in financial services.Experience leading full-stack technology teams, with a solid grasp of systems architecture and engineering fundamentals.Knowledge of the financial services landscape, including commercial drivers and the ability to articulate how AI can accelerate business outcomes.Strong communication skills, with the ability to explain complex technical information to both internal and external stakeholders.A proven interest in and ability to mentor and develop team members.A pragmatic and outcome-focused mindset, balancing big-picture strategy with real-world execution. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.
Machine Learning Engineer
Data Science & Analytics
Software Engineer
Software Engineering
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Bland.jpg

Full Stack Engineer

Bland
USD
120000
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180000
US.svg
United States
Full-time
Remote
false
About Bland At Bland.com, our goal is to empower enterprises to make AI-phone agents at scale. Based out of San Francisco, we're a quickly growing team striving to change the way customers interact with businesses. We've raised $65 million from Silicon Valley's finest; Including Emergence Capital, Scale Venture Partners, YC, the founders of Twilio, Affirm, ElevenLabs, and many more.About the Role As a Full Stack Engineer at Bland, you'll own entire product features from concept to customer delight. You're crafting the interfaces that make voice AI accessible to enterprise teams, building the dashboards that customers actually use, and creating the workflows that turn complex AI capabilities into intuitive user experiences.What You'll DoOwn features end-to-end: Take product ideas from initial concept through UX design, frontend implementation, backend architecture, and production deployment.Build intuitive AI interfaces: Create dashboards, configuration tools, and analytics views that make complex voice AI capabilities accessible to non-technical users.Design seamless workflows: Build user experiences that guide customers through agent creation, testing, deployment, and optimization with minimal friction.Integrate across systems: Connect frontend experiences with our voice AI backend, telephony infrastructure, and customer data systems.Focus on customer impact: Work directly with Deployment Engineers and customers to understand pain points and translate them into product solutions.Ship fast and iterate: Launch features quickly, gather real customer feedback, and continuously improve based on actual usage patterns.What Makes You a Great FitFull-stack expertise: 3-5 years building modern web applications with both frontend and backend components. You're comfortable across the entire stack.Product mindset: You think beyond just implementing specs—you understand user needs, question requirements, and suggest better solutions.UX sensibility: You have an eye for good design and user experience, even if you're not a dedicated designer. You know what makes interfaces intuitive vs. confusing.Startup experience: You've worked in fast-moving environments where you own outcomes, wear multiple hats, and figure things out as you go.Bonus Points If You HaveKnowledge of React, TypeScript, Node.js, or similar modern web technologiesExperience at B2B SaaS companies building for enterprise usersUnderstanding of voice technology, AI/ML interfaces, or developer toolsHow You Show UpCustomer-obsessed: You care deeply about user experience and think about how every feature impacts the customer journey.Quality-focused: You ship polished features that work reliably, not just functional prototypes. You care about adding that loading animation.Collaborative: You work seamlessly with designers, product managers, and engineers to deliver cohesive experiences.Iterative: You launch quickly, measure results, and continuously improve based on real customer feedback.Ownership mindset: You take full responsibility for your features' success and proactively solve problems.You'll Thrive Here If...You enjoy seeing customers use and love features you've builtYou like working on products that solve real business problems for enterprise teamsYou're excited by the challenge of making complex AI technology simple and accessibleYou want to have significant impact on product direction and user experienceTech Stack We UseFrontend: React, TypeScriptBackend: Node.js, PostgreSQLBenefits and Pay:Healthcare, dental, vision, all the good stuffMeaningful equity in a fast-growing companyEvery tool you need to succeedBeautiful office in Jackson Square, SF with rooftop viewsIf you don't have the perfect experience that is fine! We're a bunch of drop-outs and hackers. Working at a start-up is really hard. We work a lot and we figure things out on the fly.Compensation Range: $120,000-$180,000
Software Engineer
Software Engineering
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Clarion.jpg

Product Marketing Lead

Clarion
USD
0
120000
-
160000
US.svg
United States
Full-time
Remote
false
About ClarionAt Clarion, we're rebuilding how healthcare communicates in the age of AI. Today, clinics miss 30-40% of patient calls while staff drowns in administrative tasks. We believe AI agents should handle these workflows—scheduling, billing, prescription refills—so healthcare teams can focus on actual patient care.We're building the communication infrastructure that modern healthcare desperately needs. Our AI agents don't just answer calls; they complete entire workflows end-to-end, giving providers back their time and ensuring patients never go unheard. We've already handled hundreds of thousands of patient interactions across virtual care companies, health systems, and a $5B health insurance company.Founded by a Stanford/Harvard-trained physician who built Two Chairs and Ophelia, and an ex-Amazon Alexa engineer who led AI/ML at Salesforce, we uniquely understand both the clinical and technical challenges of transforming healthcare communication.We've raised $5.4M from Accel, Y Combinator, Sequoia (scout), and healthcare founders from Ophelia, Medallion, and Counsel Health. We're an in-person team based in New York, moving fast to ensure no patient call goes unanswered.Why Join Us?Early-stage with strong market validation: We are rapidly growing and offering the high-impact environment of an early-stage startup.Solving a massive healthcare challenge: We're addressing a critical problem in healthcare communication that affects millions of patients.Cutting-edge tech frontier: You'll be marketing the future of healthcare AI—translating breakthrough voice technology into stories that resonate with healthcare leaders and patients alike.In-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage—we move faster, build stronger bonds, and create a cohesive culture.What You'll Be Working OnBuild the marketing engine from zero: Establish foundational systems for demand generation, content production, and campaign management that scale with our growthCreate customer stories that close deals: Develop case studies, ROI calculators, and reference programs that prove Clarion's value to skeptical healthcare buyersOwn our digital presence: Write weekly LinkedIn posts, publish blog content, optimize SEO, and build our online authority in healthcare AILead conference strategy: Identify key events, manage booth presence, coordinate speaking opportunities, and turn conference leads into pipelineLaunch products that drive adoption: Write launch messaging, create sales materials, drive adoption campaigns, and ensure customers actually use new features after releaseEnable sales with competitive intelligence: Arm our team with battlecards, objection handling, and market insights that help them win against incumbents and startups alikeRequirements3-5 years of B2B marketing experience: Track record of generating pipeline and influencing revenue, ideally in healthcare tech or SaaSProven impact: Can point to specific campaigns that drove real pipeline and closed dealsSelf-sufficient: Comfortable as a one-person marketing team who strategizes Monday, ships by Wednesday, and measures by FridayHealthcare fluent: Understands how health systems buy technology and can translate AI into clear value for both clinical and business buyersMetrics focused: Tests constantly, measures everything, and makes decisions based on what worksIn-person collaboration: Excited to work from our NYC office dailyYou're a Good Fit IfYou're a creative generalist who can strategize, write, design, and ship—wearing multiple hats without losing qualityYou obsess over pipeline metrics, not vanity metrics—every campaign ties back to demos booked and deals influencedYou can make complex AI feel simple and essential to overwhelmed healthcare teams who've been burned by tech beforeYou thrive as a team of one, building the marketing engine from scratch while collaborating closely with sales and productYou have taste—you know what good looks like and won't ship anything that doesn't meet that barYou're ready to test bold ideas, from LinkedIn thought leadership to unexpected guerrilla campaigns that break through the healthcare tech noiseWhat We OfferDirect mentorship: Work closely with our founding team and experienced leaders who will invest in your professional developmentMeaningful equity: Early employee stock options with significant ownership potentialComprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, daily team lunchesTeam culture: Quarterly retreats and monthly team events that build real connections in our close-knit NYC teamImpact at scale: Your work directly affects healthcare access for millions—every provider you bring onboard helps hundreds of patients get the care they needInterview ProcessAt each stage, we decide within 24 hours and update you shortly after:First Chat (20 min) [Virtual]: Discussion about your product marketing experience and interest in healthcare transformationMarketing Deep Dive (45 min) [Virtual]: We'll explore your approach to positioning, messaging, and how you've driven revenue through marketingMarketing Exercise (Take-home): Create a positioning document and sales one-pager for a specific healthcare segment, demonstrating your ability to craft compelling narrativesTeam Day (Half-day) [In-Person]: Visit our New York office to present your marketing strategy, collaborate on real challenges, and meet with founders and potential cross-functional partnersIf you're ready to transform how millions of patients connect with their healthcare providers, we'd love to hear from you.
Technical Marketing Specialist
Marketing & Sales
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ElevenLabs.jpg

Enterprise Account Executive - United States

ElevenLabs
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US.svg
United States
Full-time
Remote
true
This role is remote-first, so it can be executed from anywhere in the United States, however the ability to operate in EST, CST, or PST timezones is required. There is a preference for candidates to be based in San Fransisco, with the option to work out of our office.About ElevenLabsElevenLabs is a research and product company defining the frontier of Audio AI. Millions of individuals use ElevenLabs to read articles, voice over their videos, and reclaim voices lost from disability. And the leading developers and enterprises use ElevenLabs to create Conversational AI agents for support, sales, and education.ElevenLabs launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing ElevenLabs at $3.3 billion. The round was co-led by Andreessen Horowitz and ICONIQ Growth, with continued support from the leading names in tech, including Nat Friedman, Daniel Gross, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, DeepMind and Inflection co-founder Mustafa Suleyman, and many others.ElevenLabs is only 2 years old and scaling rapidly. We are just getting started. If you want to work hard and have an incredible impact, we would love to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location. We are remote first with optional in-person offices in London, New York, San Francisco, Tokyo, and Warsaw.What we offerLearning & development: Annual discretionary stipend towards professional development. Social travel: Annual discretionary stipend to meet up with colleagues each year, however you choose.Co-working: If you’re not located near one of our main hubs, we offer a monthly coworking stipend.Annual company offsite: We bring the entire company together at a new location every year.About the role We’re looking for an experienced, motivated Enterprise Account Executive to drive ElevenLabs' growth in Fortune 500 and large-scale enterprises across the United States. Our ideal candidate is passionate about the transformative possibilities of AI voice technology, and eager to act as a strategic partner - enabling organizations to leverage our industry-leading models and product to reimagine their customer experience, internal workflows, and monetization strategies.In this role you will:Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goalsIdentify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiencyDevelop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trendsDemonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and moreDevelop and execute account strategies to expand ElevenLabs’ presence within key enterprise verticals (e.g., healthcare, government, finance).Partner closely with customer success and solutions engineering to ensure smooth onboarding and expansion of accounts.Serve as a trusted advisor to clients, educating them on emerging trends in generative AI, voice interfaces, and conversational agents.Requirements7+ years of quota‑carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API‑driven platforms.Proven success closing seven‑figure deals and managing complex sales cycles with multiple stakeholders.Deep understanding of enterprise procurement and legal processes, with ability to accelerate deal velocity.Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value.Strong executive presence and ability to build relationships at the C‑suite and board level.Comfort operating in an early‑stage, high‑growth environment, including building new playbooks and iterating quickly.Passion for voice and audio AI and how it can unlock transformative value for customers.A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale#LI-remote
Enterprise Sales
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Otter.ai

Senior Software Engineer, Backend (Product)

Otter.ai
USD
185000
-
210000
US.svg
United States
Full-time
Remote
false
The Opportunity Are you an experienced Senior Software Engineer, Backend (Product) looking to make a significant impact at the intersection of scalable web services and cutting-edge AI technologies? We're seeking a talented engineer to lead the development, deployment, and management of web services and infrastructure that empower AI-driven products and initiatives. As part of our dynamic engineering team, you'll collaborate closely with AI researchers, product managers, and technologists to deliver innovative solutions that transform the experiences of end-user professionals and enterprise clients across diverse industries. Your Impact Leverage your extensive experience in Python to build and enhance backend systems that seamlessly integrate with machine learning and AI-driven features. Design and implement robust business logic using web frameworks such as Django, ensuring compatibility with AI components and integration with Databases, e.g. MySQL, Cassandra, etc. Architect scalable solutions utilizing technologies like Nginx, Kafka, MySQL, Cassandra, Redis, and big data platforms to support sophisticated AI models and workflows. Write reusable, efficient, and maintainable code that underpins our high-performance web services and supports real-time AI analytics. Collaborate closely with AI teams to streamline data pipelines, optimize model deployment, and ensure backend systems effectively support AI-based product features. Communicate effectively with stakeholders across multiple teams, clearly articulating technical strategies related to AI-enabled infrastructure. Work directly on enterprise-grade integrations, developing scalable APIs, SSO connectors, and secure data exchange layers that enable seamless adoption of Otter’s platform within diverse customer environments, including CRMs, conferencing platforms, and compliance systems. We're looking for someone who Has 5+ years of experience in developing and architecting large-scale web services, preferably with exposure to supporting AI systems. Holds a Bachelor's, Master's, or Ph.D. in Computer Science or a related field. Demonstrates strong expertise in databases, distributed systems, backend performance optimization, and familiarity with backend requirements for machine learning infrastructure. Possesses expert proficiency in Python or other programming languages such as Go, Java, or C++. Has extensive experience with web frameworks like Django and is comfortable integrating systems with technologies such as MySQL, Redis, Elasticsearch, Kafka, and Cassandra, particularly in support of AI workflows. Demonstrates a solid understanding of database internals, transactions, indexing, and experience in schema design optimized for AI data workloads. Has hands-on experience deploying and managing services on AWS, particularly those interfacing with machine learning platforms. Is driven by ownership and passionate about delivering impactful solutions from conception to deployment, especially in collaborative environments with AI-focused teams. Brings substantial production server experience or equivalent backend expertise to the table. Has excellent communication skills, a genuine curiosity for technology, and meticulous attention to detail. Nice to haves Familiarity with HTTP, networking principles, and API design patterns beneficial to AI integrations. Experience with operating systems, particularly Linux, and an understanding of their interactions with AI applications and services. About Otter.ai  We are in the business of shaping the future of work. Our mission is to make conversations more valuable. With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are dedicated to inclusivity. *Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate. Salary range Salary Range: $185,000 to $210,000 USD per year. This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent on several factors. Our base salary is just one component of a comprehensive total rewards package.
Software Engineer
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ZeroMark, Inc..jpg

Senior Machine Learning Operations Engineer

Zeromark
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US.svg
United States
Full-time
Remote
false
About UsZeromark builds AI-driven counter-drone systems that actually work in combat. No PowerPoints. No hype. Just field-proven technology that saves lives.We've doubled year-over-year for two straight years, winning contracts that prove what we've always known: real innovation happens in the dirt, not in conference rooms. Our systems transform standard weapons into AI-powered platforms that detect, track, and neutralize drone threats—because a $200 drone shouldn't require a million-dollar countermeasure.Here's what makes us different: ZeroMark operators don't build from behind screens. You'll validate tech from Blackhawk helicopters, train alongside Tier-1 units (who happen to be our coworkers), and test at legendary ranges from White Sands to the cliffs of Hawaii. When we say field-tested, we mean you'll shoot it, fly with it, and push it to failure. We don't tweet about changing the world—we're too busy actually doing it. Dark humor required, thick skin recommended.If you want to make an actual impact—and have some unforgettable Tuesday afternoons along the way—let's talk. We're all about delivering practical, field-tested tech, not just theories.The RoleWe are seeking a highly skilled and experienced Senior Machine Learning Generalist to join our talented team. This individual will play a crucial role in designing, developing, and deploying machine learning models across various defense applications. You will work closely with both our general software engineering team and our computer vision engineering team, bridging the gap between foundational software development and advanced computer vision applications. This role requires a strong understanding of diverse ML techniques, excellent problem-solving abilities, and the capacity to adapt to evolving project needs.ResponsibilitiesDesign, develop, and implement end-to-end machine learning pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.Collaborate with the general software engineering team to integrate ML models into existing software systems and ensure scalability and maintainability.Work in conjunction with computer vision specialists to apply and optimize ML techniques for image and video analysis, object detection, tracking, and recognition in defense contexts.Research and evaluate new machine learning algorithms, tools, and technologies to enhance our capabilities and solve challenging problems.Perform rigorous model testing, validation, and performance tuning to ensure robustness and accuracy in real-world scenarios.Contribute to the development of best practices for ML engineering, including MLOps, version control, and reproducible research.Mentor junior engineers and contribute to a culture of continuous learning and knowledge sharing.Communicate technical concepts effectively to both technical and non-technical stakeholders.QualificationsEducation: Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.Experience: 5+ years of experience in machine learning engineering, with a proven track record of deploying ML models in production environments.Technical Skills:Strong proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).Solid understanding of core machine learning concepts, including supervised, unsupervised, and reinforcement learning.Experience with various machine learning model architectures and their application (e.g., CNNs, RNNs, Transformers, decision trees, support vector machines).Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).Experience with MLOps tools and practices.Experience deploying a variety of edge systems.Experience with TensorRT and other similar technologies.Deep knowledge of C++ and Python.Domain Knowledge:Experience or strong interest in defense, aerospace, or related industries is highly desirable.Understanding of the unique challenges and considerations for deploying ML in defense applications (e.g., adversarial robustness, real-time constraints, data security).Collaboration & Communication:Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.Ability to translate complex technical concepts into clear and concise language.Problem-Solving:Strong analytical and problem-solving skills, with a proactive and innovative approach.Ability to work independently and manage multiple priorities in a fast-paced environment.Preferred QualificationsExperience with specific computer vision tasks such as object detection, segmentation, or tracking.Familiarity with real-time ML systems and embedded systems.Contributions to open-source projects or publications in relevant fields.
Machine Learning Engineer
Data Science & Analytics
DevOps Engineer
Data Science & Analytics
Computer Vision Engineer
Software Engineering
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Harvey.jpg

Strategic Business Development Lead, EMEA

Harvey
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GB.svg
United Kingdom
Full-time
Remote
false
Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewHarvey’s Strategic Business Development Leads are skilled lawyers from top-tier law firms who apply their legal experience to ensure that current and prospective customers understand how Harvey’s solutions enhance specific day-to-day workflows, working alongside Harvey’s Account Executives to support all aspects of our sales strategy. Strategic Business Development Leads build consultative relationships with law firm partners and associates and in-house attorneys at private equity firms and Fortune 500 companies, becoming trusted advisors on how Harvey’s AI solutions can make them more effective. Similar to the way Solutions Architects secure the “technical win” in the sales process, Strategic Business Development Leads secure the “legal win” by performing in-depth customer discovery and education on Harvey’s solutions through targeted meetings and demos that resonate with the customer’s day-to-day workflows specific to their legal practice area.Strategic Business Development Leads utilize their experience practicing law and their legal mindset to ask thoughtful questions to understand the needs of law firm and in-house attorneys, develop credibility, and then partner with Account Executives to educate them on Harvey’s value via large and small group sessions as well as one-to-one conversations.What You'll DoEngage with lawyers at existing and prospective customers to understand and address their workflow challenges, and then explain and demonstrate the value of Harvey’s AI solutions to address them.Establish yourself as a credible expert in solving customers’ specific legal problems (e.g. researching public and private databases for certain types of information, drafting and analyzing contractual provisions and whole documents, analyzing briefs and filings, corporate governance, conducting due diligence).Lead product demonstrations tailored to the context of various law firm practice groups and in-house legal teams, asking questions to validate how Harvey can add value and then showcasing Harvey’s features and benefits relevant to each prospective client’s potential use cases.Partner with the marketing team to develop content that will resonate with lawyers, tailored to the unique needs of their practice areas and client types. Act as the “Voice of the Customer,” using your legal perspective to help the broader sales team to develop and implement more effective strategies and synthesize customer feedback for the product team through a legal lens.Tailor the introduction of new solutions to specific customer needs. Further the market perception of Harvey as uniquely credible, substantive, and helpful in applying its AI solutions to make lawyers better at their jobs. Conduct research and analysis on customers and competitors.What You HaveIdeal candidate will be qualified to practice law in the U.K.At least 3 years of experience practicing law at a top-tier law firm in the U.K.Executive engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levelsOutstanding presentation skills to both legal and executive audiences, whether impromptu on a whiteboard or using presentations and demos.Strong understanding of legal processes and challenges faced by legal professionals.Curiosity about AI’s potential to transform the legal industry.Sales or customer-facing experience, including law firm business development and/or secondment, is a plus, as is experience directly managing law firm client matters and client relationships.Please find our UK applicant privacy notice here.Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.
Business Development
Marketing & Sales
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ZeroMark, Inc..jpg

Electrical Design Engineer

Zeromark
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US.svg
United States
Full-time
Remote
false
About UsZeromark builds AI-driven counter-drone systems that actually work in combat. No PowerPoints. No hype. Just field-proven technology that saves lives.We've doubled year-over-year for two straight years, winning contracts that prove what we've always known: real innovation happens in the dirt, not in conference rooms. Our systems transform standard weapons into AI-powered platforms that detect, track, and neutralize drone threats—because a $200 drone shouldn't require a million-dollar countermeasure.Here's what makes us different: ZeroMark operators don't build from behind screens. You'll validate tech from Blackhawk helicopters, train alongside Tier-1 units (who happen to be our coworkers), and test at legendary ranges from White Sands to the cliffs of Hawaii. When we say field-tested, we mean you'll shoot it, fly with it, and push it to failure. We don't tweet about changing the world—we're too busy actually doing it. Dark humor required, thick skin recommended.If you want to make an actual impact—and have some unforgettable Tuesday afternoons along the way—let's talk. We're all about delivering practical, field-tested tech, not just theories.What You'll Do:As an Electrical Design Engineer, you'll be instrumental in designing, developing, and testing the core electronic systems for our next-generation counter-drone platforms. Your responsibilities will include:Circuit Design: Architecting and implementing complex analog and digital circuits for RF, power management, signal processing, and control systems.PCB Layout: Designing multi-layer printed circuit boards (PCBs) with a focus on signal integrity, power delivery, and manufacturability.Component Selection: Identifying and evaluating electronic components, ensuring optimal performance, reliability, and cost-effectiveness.Prototyping & Testing: Building and testing prototypes, performing rigorous validation and verification to ensure designs meet stringent performance and reliability requirements.Firmware & Software Collaboration: Working closely with firmware and software engineers to integrate hardware and ensure seamless system functionality.Troubleshooting & Optimization: Diagnosing and resolving hardware issues, and continuously optimizing designs for performance, efficiency, and robustness.Documentation: Creating comprehensive design documentation, schematics, layouts, and test procedures.What You’ll Need:We're seeking a highly motivated and skilled Electrical Design Engineer with:Education: Bachelor's or Master's degree in Electrical Engineering or a related field.Experience: 5+ years of experience in electrical hardware design, preferably in the defense, aerospace, or related high-tech industries.Technical Expertise:Strong proficiency in analog and digital circuit design.Hands-on experience with PCB design tools (e.g., Altium Designer, OrCAD, Eagle).Knowledge of RF principles and high-speed digital design.Experience with microcontrollers, FPGAs, and embedded systems.Familiarity with various communication protocols (e.g., I2C, SPI, UART, Ethernet).Proficiency in using lab equipment (oscilloscopes, spectrum analyzers, network analyzers).Problem-Solving Skills: Excellent analytical and problem-solving abilities with a keen eye for detail.Team Player: Ability to collaborate effectively in a dynamic, cross-functional team environment.Innovation: A passion for innovation and a desire to contribute to cutting-edge technology.Security Clearance: Ability to obtain and maintain a U.S. security clearance (U.S. citizenship required).Bonus Points For:Experience with counter-drone systems or related defense technologies.Familiarity with DFM (Design for Manufacturability) and DFT (Design for Testability).Knowledge of electromagnetic compatibility (EMC) and electromagnetic interference (EMI) principles.Why Join Us?Impactful Work: Contribute to critical national security initiatives and make a real difference in protecting lives and assets.Cutting-Edge Technology: Work on groundbreaking technologies in a rapidly evolving field.Dynamic Environment: Thrive in a fast-paced, agile startup culture where your ideas are valued.Growth Opportunities: Grow your career alongside a rapidly expanding company.Competitive Compensation: Receive a competitive salary and benefits package.If you're ready to take on exciting challenges and be a part of a team that's shaping the future of defense technology, apply now!
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Electrical Design Engineer

Zeromark
-
US.svg
United States
Full-time
Remote
false
About UsZeromark builds AI-driven counter-drone systems that actually work in combat. No PowerPoints. No hype. Just field-proven technology that saves lives.We've doubled year-over-year for two straight years, winning contracts that prove what we've always known: real innovation happens in the dirt, not in conference rooms. Our systems transform standard weapons into AI-powered platforms that detect, track, and neutralize drone threats—because a $200 drone shouldn't require a million-dollar countermeasure.Here's what makes us different: ZeroMark operators don't build from behind screens. You'll validate tech from Blackhawk helicopters, train alongside Tier-1 units (who happen to be our coworkers), and test at legendary ranges from White Sands to the cliffs of Hawaii. When we say field-tested, we mean you'll shoot it, fly with it, and push it to failure. We don't tweet about changing the world—we're too busy actually doing it. Dark humor required, thick skin recommended.If you want to make an actual impact—and have some unforgettable Tuesday afternoons along the way—let's talk. We're all about delivering practical, field-tested tech, not just theories.What You'll Do:As an Electrical Design Engineer, you'll be instrumental in designing, developing, and testing the core electronic systems for our next-generation counter-drone platforms. Your responsibilities will include:Circuit Design: Architecting and implementing complex analog and digital circuits for RF, power management, signal processing, and control systems.PCB Layout: Designing multi-layer printed circuit boards (PCBs) with a focus on signal integrity, power delivery, and manufacturability.Component Selection: Identifying and evaluating electronic components, ensuring optimal performance, reliability, and cost-effectiveness.Prototyping & Testing: Building and testing prototypes, performing rigorous validation and verification to ensure designs meet stringent performance and reliability requirements.Firmware & Software Collaboration: Working closely with firmware and software engineers to integrate hardware and ensure seamless system functionality.Troubleshooting & Optimization: Diagnosing and resolving hardware issues, and continuously optimizing designs for performance, efficiency, and robustness.Documentation: Creating comprehensive design documentation, schematics, layouts, and test procedures.What You’ll Need:We're seeking a highly motivated and skilled Electrical Design Engineer with:Education: Bachelor's or Master's degree in Electrical Engineering or a related field.Experience: 5+ years of experience in electrical hardware design, preferably in the defense, aerospace, or related high-tech industries.Technical Expertise:Strong proficiency in analog and digital circuit design.Hands-on experience with PCB design tools (e.g., Altium Designer, OrCAD, Eagle).Knowledge of RF principles and high-speed digital design.Experience with microcontrollers, FPGAs, and embedded systems.Familiarity with various communication protocols (e.g., I2C, SPI, UART, Ethernet).Proficiency in using lab equipment (oscilloscopes, spectrum analyzers, network analyzers).Problem-Solving Skills: Excellent analytical and problem-solving abilities with a keen eye for detail.Team Player: Ability to collaborate effectively in a dynamic, cross-functional team environment.Innovation: A passion for innovation and a desire to contribute to cutting-edge technology.Security Clearance: Ability to obtain and maintain a U.S. security clearance (U.S. citizenship required).Bonus Points For:Experience with counter-drone systems or related defense technologies.Familiarity with DFM (Design for Manufacturability) and DFT (Design for Testability).Knowledge of electromagnetic compatibility (EMC) and electromagnetic interference (EMI) principles.Why Join Us?Impactful Work: Contribute to critical national security initiatives and make a real difference in protecting lives and assets.Cutting-Edge Technology: Work on groundbreaking technologies in a rapidly evolving field.Dynamic Environment: Thrive in a fast-paced, agile startup culture where your ideas are valued.Growth Opportunities: Grow your career alongside a rapidly expanding company.Competitive Compensation: Receive a competitive salary and benefits package.If you're ready to take on exciting challenges and be a part of a team that's shaping the future of defense technology, apply now!
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Senior Information Architect

HP IQ
USD
0
132000
-
187000
US.svg
United States
Full-time
Remote
false
Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role We are seeking a strategic, detail-oriented Senior Information Architect with UX design experience to shape the structure and flow of AI-powered products and systems. In this hybrid role, you will work at the intersection of AI model capabilities, user experience, and content architecture to ensure our intelligent systems are intuitive, scalable, and user-friendly. You’ll collaborate with cross-functional teams—product managers, engineers, and designers—to develop frameworks that support human-centered AI interactions. Your work will define how users navigate and make sense of complex data, natural language responses, and predictive features. What You Might Do Design intuitive information architectures for AI-driven interfaces and tools. Create sitemaps, user flows, taxonomies, metadata frameworks, and content models. Develop guidelines for content hierarchy and interaction design across conversational interfaces and generative AI features. Advocate for scalable design systems that support personalization, accessibility, and data privacy in AI-powered environments. Define and document structural standards, templates, and navigation strategies to ensure consistency across platforms. Analyze and refine user journey maps for complex, multi-modal AI experiences. Essential Qualifications  3+ years of experience in Information Architecture, UX Design, or Interaction Design. Experience working in the AI space. Proficiency with UX tools (Figma, Miro,, etc.) and IA methodologies. Deep understanding of UX heuristics, human-centered design, and cognitive load principles. Ability to visualize and communicate complex information structures clearly. Strong collaboration and communication skills—comfortable presenting to stakeholders and guiding cross-disciplinary teams. Preferred Skills Experience with conversational UI, voice UX, or LLM-based experiences. Familiarity with content design and structured content management. Background in psychology, cognitive science, or human-computer interaction (HCI). Experience working in agile and design-led development environments. Salary: $132,000- $187,000Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement
UX Designer
Creative & Design
Product Designer
Creative & Design
NLP Engineer
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Sr. Program Manager, AI Solutions

Stability AI
USD
0
130000
-
150000
US.svg
United States
CA.svg
Canada
Full-time
Remote
true
About the Role We’re seeking a top tier Program Manager – AI Solutions to support end-to-end implementation of AI solutions at enterprise customer organizations. You will establish and maintain robust project management infrastructure, coordinate cross-functional teams, and ensure timely delivery of AI solutions that deliver against customer expectations. This is an exciting opportunity to work on the forefront of Generative AI with some of the leading brands in the world. This is a fully remote role based in the United States or Canada. Key Responsibilities Program Leadership: Own the full lifecycle of AI solutions projects—from requirements gathering through development, deployment, and post-launch optimization. Project Management Infrastructure: Design and implement standardized processes, tools, and templates (e.g., status dashboards, delivery templates) to support consistent, scalable AI solution delivery. Cross-Functional Collaboration: Coordinate with Sales, Applied AI, Research, Product, and Engineering to drive alignment and remove roadblocks. Stakeholder Communication: Provide regular updates to senior leadership on customer project status, milestones, and risks. Risk & Issue Management: Proactively identify, assess, and mitigate risks; escalate issues appropriately, and document resolutions to continuously improve delivery processes. Resource & Budget Planning: Define resource requirements, track team and project utilization, and optimize allocation across multiple concurrent AI initiatives. Change Management: Develop and execute change-management plans (training materials, user guides, rollout schedules) to drive adoption of AI-powered solutions within the business. Continuous Improvement: Gather and analyze post-implementation metrics, collect stakeholder feedback, and drive lessons-learned sessions to refine methodologies and accelerate future deployments. Qualifications 5+ years of program or project management experience at a technology or consulting/services company focused on technology implementation and delivery. Demonstrated ability to manage a high volume of complex, multi-stakeholder technology delivery projects end-to-end. Proficiency with project-management tools (e.g., Jira, Asana, MS Project) and familiarity with Agile/Scrum and Waterfall methodologies. Exceptional organizational skills with a proven track record of building and scaling PM infrastructures. Outstanding verbal and written communication skills; experience presenting to C-level executives. Bachelor’s degree in Computer Science, Engineering, Business, or a related field; MBA or advanced degree a plus. PMP, PgMP, or Scrum Master certification preferred. Compensation The salary range for this role is between $130,000-$150,000 USD if based in the US and between $100,000-$120,000 CAD if based in Canada. Individual pay within the range is based on factors like job-related skills and experience. Total compensation also includes stock options and benefits. Equal Employment Opportunity: We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. 
Project Manager
Product & Operations
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Product Growth Engineer (React / Tailwind) - Salt Lake City, USA

Speechify
USD
0
140000
-
200000
US.svg
United States
Full-time
Remote
true
PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/5568049004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 30 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We’re looking for a fast, product-minded engineer to own and ship onboarding flows, in-app guidance, product documentation, “what’s new” surfaces, and integrated support that makes Speechify Studio intuitive from day one. You’ll operate at the intersection of UX, frontend, growth, and customer success. You’ll build React + Tailwind components, wire up tools like Intercom, Amplitude, and OpenAI APIs, and drive a seamless experience for both new and returning users. You’ll also connect analytics to our lifecycle and customer engagement tools—email, in-app messages, advertising—working closely with marketing to close the loop between product and growth. Expect to own both the interface and the language inside it, ship fast, and iterate constantly. What You’ll Do Build and maintain user onboarding, in-app tours, and changelogs Create and keep up-to-date tutorials and product documentation Integrate support tools (Intercom bots, contextual FAQs, help surfaces) Connect analytics (Amplitude) to lifecycle tools (email, ads, CRM) Use OpenAI APIs to power dynamic product tips and smart helpers Polish UI with Tailwind, always aiming for clarity, speed, and brand alignment An Ideal Candidate Should Have 5+ years with React, TypeScript, and Tailwind Excellent written English—you’re as confident writing copy as writing code Hands-on experience building onboarding, documentation, or growth loops Comfort with Amplitude, Intercom, OpenAI APIs, and email/CRM integration You ship fast, iterate constantly, and thrive with full ownership What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Why Join:  You’ll own critical surfaces that shape how users experience Speechify from day one. You’ll ship often, work across product and marketing, and play a key role in helping us scale user satisfaction, retention, and growth. Salary The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Software Engineer
Software Engineering
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Applied AI Engineer & Researcher - Dallas, USA

Speechify
-
US.svg
United States
Remote
true
PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/4510121004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Researching and implementing state-of-the-art in NLP and TTS or CV with a focus on image generation Work on building the most human sounding AI speech model in the world An Ideal Candidate Should Have Experience with research and development in NLP or TTS or CV with a focus on image generation. Experience in ML Preferred: Experience deploying NLP or TTS models to production at a large scale Experience managing engineers and growing a research & development team Experience programming in Python: Tensorflow and PyTorch frameworks specifically. What We Offer A fast-growing environment where you can help shape the culture An entrepreneurial crew that supports risk, intuition, and hustle A hands-off approach so you can focus and do your best work The opportunity to make an impact in a transformative industry A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Machine Learning Engineer
Data Science & Analytics
NLP Engineer
Software Engineering
Computer Vision Engineer
Software Engineering
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Applied AI Engineer & Researcher - Boston, USA

Speechify
0
0
-
0
US.svg
United States
Remote
true
PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/4510121004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Researching and implementing state-of-the-art in NLP and TTS or CV with a focus on image generation Work on building the most human sounding AI speech model in the world An Ideal Candidate Should Have Experience with research and development in NLP or TTS or CV with a focus on image generation. Experience in ML Preferred: Experience deploying NLP or TTS models to production at a large scale Experience managing engineers and growing a research & development team Experience programming in Python: Tensorflow and PyTorch frameworks specifically. What We Offer A fast-growing environment where you can help shape the culture An entrepreneurial crew that supports risk, intuition, and hustle A hands-off approach so you can focus and do your best work The opportunity to make an impact in a transformative industry A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Machine Learning Engineer
Data Science & Analytics
Research Scientist
Product & Operations
NLP Engineer
Software Engineering
Computer Vision Engineer
Software Engineering
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Speechify.jpg

AI Engineer & Researcher, Inference - Austin, USA

Speechify
-
US.svg
United States
Remote
true
PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/5287658004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases Deploy and operate the core ML inference workloads for our AI Voices serving pipeline Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues An Ideal Candidate Should Have Experience shipping Python-based services Experience being responsible for the successful operation of a critical production service Experience with public cloud environments, GCP preferred Experience with Infrastructure such as Code, Docker, and containerized deployments. Preferred: Experience deploying high-availability applications on Kubernetes. Preferred: Experience deploying ML models to production What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Machine Learning Engineer
Data Science & Analytics
Software Engineer
Software Engineering
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AI Engineer & Researcher, Inference - San Francisco, USA

Speechify
-
No items found.
Remote
true
PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/5287658004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases Deploy and operate the core ML inference workloads for our AI Voices serving pipeline Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues An Ideal Candidate Should Have Experience shipping Python-based services Experience being responsible for the successful operation of a critical production service Experience with public cloud environments, GCP preferred Experience with Infrastructure such as Code, Docker, and containerized deployments. Preferred: Experience deploying high-availability applications on Kubernetes. Preferred: Experience deploying ML models to production What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Machine Learning Engineer
Data Science & Analytics
Software Engineer
Software Engineering
DevOps Engineer
Data Science & Analytics
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Applied AI Engineer & Researcher - Chicago, USA

Speechify
-
US.svg
United States
Remote
true
PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/4510121004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Researching and implementing state-of-the-art in NLP and TTS or CV with a focus on image generation Work on building the most human sounding AI speech model in the world An Ideal Candidate Should Have Experience with research and development in NLP or TTS or CV with a focus on image generation. Experience in ML Preferred: Experience deploying NLP or TTS models to production at a large scale Experience managing engineers and growing a research & development team Experience programming in Python: Tensorflow and PyTorch frameworks specifically. What We Offer A fast-growing environment where you can help shape the culture An entrepreneurial crew that supports risk, intuition, and hustle A hands-off approach so you can focus and do your best work The opportunity to make an impact in a transformative industry A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Machine Learning Engineer
Data Science & Analytics
Research Scientist
Product & Operations
NLP Engineer
Software Engineering
Computer Vision Engineer
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AI Research Group Leader

Maincode
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AU.svg
Australia
Full-time
Remote
false
About the jobMaincode is building sovereign AI models in Australia. We train foundation models from scratch, design new reasoning architectures, and deploy them on state-of-the-art GPU clusters. This is not fine-tuning someone else’s work. This is creating new systems from first principles. We’re hiring a research leader for our AI Residency program. Our AI Residency Program is a focused research collaboration with top academic talent: late-stage PhD students, postdocs, and professors, working on foundational AI research at the architectural level. Each cohort of residents joins us for 6-months to pursue ambitious projects that align with our mission, combining academic rigor with industry-scale infrastructure and execution. This is a full-time, permanent role with ongoing responsibility for sourcing and selecting residents, guiding them through their projects, supporting publication efforts, and ensuring impactful, aligned research outcomes. The program is already up and running, now we’re looking for a research leader to own its day-to-day execution. You’ll make sure the right people are selected, the right projects are pursued, and the research produced is impactful, publishable, and aligned with Maincode’s long-term goals. You’ll also lead sourcing, interviewing, and hiring of residents, and ensure each one’s experience is productive and inspiring. This is a hybrid role based in Australia.What you’ll doRun the AI Residency Program end-to-end, ensuring smooth operations, clear timelines, and high-impact outcomes.Source, recruit, and hire outstanding residents, managing the full candidate pipeline from outreach to signed offers.Select and greenlight projects in consultation with Maincode’s research leadership to ensure strategic alignment.Guide and mentor residents throughout their 6-month program, drawing on your academic and industry experience.Maintain research quality, ensuring outputs meet top-tier publication standards and practical applicability.Coordinate with internal research teams so residency work complements and extends Maincode’s own research agenda.Represent the program externally, building relationships with universities, research groups, and other AI communities. Who you areA senior academic researcher (postdoc or above) with deep expertise in AI and a broad understanding of the field’s directions.Experienced in supervising PhD-level research and managing multiple projects simultaneously.Skilled in candidate sourcing, interviewing, and selection for high-level research roles.Have a strong publication record in top AI/ML venues (NeurIPS, ICLR, ICML, etc.).Strong strategic judgment in choosing projects and people that balance novelty with long-term impact.A confident communicator who can work seamlessly with both academic researchers and industry engineers.Motivated to strengthen sovereign AI capability in Australia through academic–industry collaboration.Why Maincode We are a small, mission-driven team building some of the most advanced AI systems in Australia. We operate our own GPU clusters, run large-scale training, and work closely across research and engineering to push the frontier of what’s possible. You’ll be surrounded by people who:Care deeply about model internals, not just outputs.Build things that work at scale.Take pride in learning, experimenting, and shipping.Believe Australia must have independent, world-class AI systems.If you want to run a program that brings world-class researchers into an environment where they can test ideas at scale and make a lasting impact on the science of AI, we’d love to hear from you.
Research Scientist
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Metropolis Technologies.jpg

Senior Machine Learning Engineer, Computer Vision

Metropolis
USD
0
150000
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200000
US.svg
United States
Full-time
Remote
false
The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role We are seeking a Senior Computer Vision Engineer to lead the development of advanced multi-camera perception and localization systems with an integrated focus on image-based search, vector database integration, and re-ranking strategies. You will design and build algorithms that combine object tracking, scene understanding, and cross-camera reasoning with scalable retrieval systems to power high-precision localization and visual matching across large-scale deployments. This role requires strong expertise in computer vision, real-time systems, and search infrastructure, with a focus on turning visual data into actionable spatial intelligence.   Responsibilities Design and implement algorithms for multi-camera object detection, classification, and persistent tracking. Build scene understanding modules to extract landmarks, spatial layout, and semantic context from image streams. Develop cross-camera fusion and localization methods for consistent identification and positioning of objects. Architect and deploy visual search systems using vector databases (e.g., OpenSearch, FAISS, Milvus) for image-based retrieval and matching. Design and implement re-ranking techniques to improve retrieval precision based on context, metadata, and scene cues. Create tools and metrics to evaluate retrieval quality, localization accuracy, and perception robustness. Collaborate across ML, backend, and infrastructure teams to ensure scalable, real-time deployment. Investigate system-level issues, drive debugging efforts, and improve model and system performance. Mentor junior engineers and contribute to long-term vision for perception, localization, and image retrieval.   Qualifications  M.S. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related field. 5+ years of industry experience in computer vision, image retrieval, or perception systems. Strong background in object detection, tracking, and scene understanding using multi-camera inputs. Deep understanding of vector-based retrieval systems and experience with OpenSearch, FAISS, or similar tools. Proficiency in Python or C++, with hands-on experience in PyTorch, TensorFlow, and OpenCV. Experience in building large-scale image retrieval pipelines, including feature extraction, indexing, and search optimization. Knowledge of multi-view geometry, and cross-camera identity association. Experience evaluating and tuning re-ranking strategies using contextual and multi-modal signals. Exposure to cloud-based deployment of search systems (e.g., OpenSearch cluster tuning, sharding, replication). Experience with edge deployment of perception pipelines (e.g., Jetson, Qualcomm). Publications or patents in the fields of visual search, localization, or multi-camera perception.   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 to $200,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-AR1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  
Computer Vision Engineer
Software Engineering
Machine Learning Engineer
Data Science & Analytics
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