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Job DescriptionCompany Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Director of Discovery AI Partnerships will play a critical leadership role in shaping and executing AbbVie’s external AI innovation strategy in Discovery. This role sits at the intersection of AI technology, drug discovery, and strategic partnerships, and is responsible for leading complex AI‑centric external collaborations from sourcing through diligence and deal execution. Reporting to the Head of Discovery AI Partnerships, the Director will operate with a high degree of autonomy and serve as a strategic thought partner to senior stakeholders. This role is ideal for a mission-driven leader who is passionate about science, understands the real-world impact AI solutions can deliver, brings a practical, down-to-earth approach, and is motivated by the potential for AI-enabled innovation to create meaningful benefits for patients. Key Responsibilities: • Deal sourcing: Closely monitor, interpret, and predict the evolving landscape and trends in AI and pharmaceuticals innovation, as they relate to all key therapeutic areas of AbbVie. Proactively search for, identify, and evaluate potential partnering opportunities from biopharma companies, AI companies, academic institutions, other non-profit research institutes, and life science venture capital investors globally (US, Europe, China, others), • Diligence: Lead end-to-end scientific, technical, and strategic diligence for a wide range of AI-focused partnerships (e.g., with AI-driven drug discovery companies, Big Tech, research labs focused on foundational LLMs, data companies, academia), including hands-on technology assessments, market analysis, and risk evaluations, • Pilots, benchmarks, and technical evaluations: Design, negotiate, conduct, and analyze the results of pilots, benchmarks, and technical evaluations of AI models applied to drug discovery as part of the core diligence process to inform our investment decision. Technical depth to structure and conduct these pilots is critical part of this role., • Deal flow management: Collaborate with key stakeholders and cross-functional teams to drive and ensure effective communication, efficient decision-making, and completion of AI/ML-related partnerships / deals in a timely manner., • Apply strong scientific judgment and product‑oriented thinking to assess differentiation, scalability, integration potential, and long‑term value of AI platforms., • Synthesize complex technical and scientific findings into clear, decision‑enabling recommendations for senior leadership and governance forums., • Stay at the forefront of emerging AI trends and advancements in biopharma to inform strategic decision-making., • Develop and maintain a strong network of AI experts, thought leaders, and innovators to ensure AbbVie remains at the forefront of AI developments., • Proactively participate and represent AbbVie in industry forums, conferences, and consortia to strengthen external engagement and visibility in AI innovation. Qualifications, • Degree in Computer Science, Machine Learning, AI, Statistics, Mathematics, Computational Biology, Computational Chemistry, Bioinformatics, Physics, Engineering, or related quantitative discipline., • Bachelor’s: 12+ years of relevant experience, including in AI/ML applications in life sciences or healthcare OR, • Master’s: 10+ years of relevant experience, including in AI/ML applications in life sciences or healthcare OR, • PhD: 7+ years of relevant experience, including AI/ML applications in life sciences or health., • Highly motivated with strong organizational and communication skills, excellent work ethic, and the ability to work independently as well as collaboratively in a team environment., • Experience leading AI-focused partnerships, external collaborations, or technology diligence within biopharma, biotech, healthcare, technology, or investment organizations; or strong product management or platform leadership experience within AI-native or technology companies., • Strong strategic judgment, technical fluency, and ability to influence without authority., • Management consulting experience at a Top-Tier consulting firm a plus., • Experience applying AI in therapeutics discovery, including agentic AI approaches, strongly preferred. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of thisposting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location,and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission,incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless anduntil paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html

Job Description About the Outdoorsy Group Founded in 2015, Outdoorsy Group pioneered access to the outdoors by building the world’s leading outdoor travel ecosystem. Millions of guests trust Outdoorsy to create lifelong family memories, while hosts rely on its products and innovations to grow their businesses and unlock life-changing sources of income. Outdoorsy Group’s portfolio includes Outdoorsy.com, the largest outdoor travel and hospitality marketplace; the Destination Network, a growing collection of campgrounds and glamping retreats set in some of the country’s most iconic landscapes; and Roamly, its proprietary insurtech platform powering Outdoorsy.com and enabling insurance infrastructure for global marketplaces. Together, Outdoorsy Group’s businesses are united by a long-term mission: to restore our relationship with the outdoors—and with one another. About Roamly Roamly is a leading provider of innovative, specialty insurance solutions purpose-built for the modern mobility and marketplace travel economy. As a Lloyd's Coverholder and AI-first insurance innovator, Roamly delivers a robust platform, deep carrier partnerships, and an expanding ecosystem that empowers consumers, professional fleet owners, and marketplaces to unlock new revenue streams while reducing risk. Our technology harnesses AI, advanced automation, and embedded distribution to power tailored coverages for recreational vehicles, carsharing, and other emerging mobility models—covering everything from underwriting and claims to compliance, data analytics, and real-time risk management. Learn more at www.roamly.com. Requirements About the Role The "Why": We are witnessing the most radical transformation in the automotive industry in a century: the shift from Human-Operated to Software-Defined, Autonomous Mobility. As human behavior expires as the primary variable of risk, Roamly is pivoting to insure autonomous decisions, pricing risk on software quality and sensor fidelity rather than driver history. The Mission: To lead the largest disruption in the history of insurance by moving from demographic profiling to algorithmic underwriting, effectively "underwriting the code, not the human". Reporting Structure: This role reports directly to the CEO and works closely with the leadership teams of Outdoorsy, Roamly, and Wheelbase. Key Responsibilities & Deliverables • Autonomous Mobility Strategy: Integrate directly with OEM autonomous stacks (Tesla, Rivian, etc.) to access granular driving data and define the technical strategy for the "Robotaxi Use Case"., • Telemetry & Sensor Fusion: Architect high-velocity pipelines to process sensor data (Vision, LIDAR, Radar) and transform raw behavioral data into proprietary "Safety Score" algorithms., • Dynamic Pricing Engine: Develop and lead the "Roamly Autonomy" protocol to adjust premiums in real-time based on software version stability and compute latency., • Agentic AI Deployment: Deploy AI agents at the "Edge" to detect coverage gaps and programmatically negotiate insurance upgrades directly on vehicle infotainment screens., • Team & Collaboration: Lead a lean, high-velocity engineering team to build prototypes and prove concepts that connect the vehicle cloud to the Wheelbase "Mission Control"., • Innovation: Proactively stay ahead of L3-L5 regulatory frameworks (NHTSA/DMV) to ensure the tech stack remains compliant with evolving driverless laws. Key Performance Indicators (KPIs) • 90-Day Success: Successfully build the "Vehicle to Cloud" (V2C) loop to extract hard telemetry like disengagements and phantom braking from a primary OEM partner., • Ongoing Metric: Reduction in loss ratios through the refinement of algorithmic underwriting based on live vehicle telemetry versus traditional MVR/FICO scores., • Growth Goal: Scale the API-first infrastructure to support seamless switching between personal auto and commercial fleet policies for autonomous fleets. Who You Are (Candidate Profile) • Required Qualifications: Deep knowledge of ADAS, L3, and L5 autonomy, including an understanding of disengagement reports and operational design domains., • AI-First Technologist: Proven experience with LLMs, Agentic workflows, and Machine Learning; you view AI as the primary interface for software., • IoT & Telemetry Expert: Extensive experience handling time-series data from hardware devices, connected cars, or robotics., • Execution-Minded: You operate with a "Builder’s Mindset," preferring prototypes over PowerPoints and possessing an impatient bias for action., • Austin-Centric: (Preferred) Deeply plugged into the Austin tech scene and its ecosystem of robotics and autonomous manufacturing., • Technical Proficiency: Expert in 5G/MQTT/Starlink connectivity layers and architecting data pipelines for high-frequency telemetry. Benefits Why You’ll Love Working Here • Competitive Compensation: Competitive base salary commensurate with experience., • Growth Opportunity: Architect a world-first protocol for the largest disruption in the history of insurance., • Ground Zero of Autonomy: Work from our Austin HQ, the global hub of the autonomous revolution., • Comprehensive Benefits: (Standard Outdoorsy Group benefits apply, including 100% paid medical and flexible PTO)., • Work-Life Balance: Enjoy RV rental discounts and a culture that values the very outdoor lifestyle we enable.

Job Description WHO WE ARE At Trustly, we're building a smarter, faster, and more secure financial future by revolutionizing the world of payments. As a global leader in Open Banking Payments, we are establishing Pay by Bank as the new standard at checkout, providing unparalleled freedom, speed, and ease to millions of consumers and merchants worldwide. Our Ambition: To build the world’s most disruptive payment network and redefine what the payment experience should feel like. Trustly is a global team of innovators, collaborators, and doers. If you are driven by a strong sense of purpose and thrive in a dynamic, entrepreneurial, and high-growth environment, join us and be part of a team that’s transforming the way the world pays. About the team The Data team at Trustly is the backbone of our decision-making and product innovation. We are a global, multidisciplinary collective of Software Engineers, Data Engineers, Machine Learning Specialists, Scientists, and Analysts who believe that data is more than just rows and columns - it is the fuel for a more transparent financial ecosystem. We operate at the intersection of high-scale engineering and deep financial intelligence. Our team processes millions of transactions in real time, turning complex Open Banking signals into seamless payment experiences. We pride ourselves on a culture of intellectual curiosity, technical excellence, and extreme ownership. About the role Reporting directly to the Global CTO, the Chief Data Officer (CDO) will serve as Trustly’s most senior data executive, responsible for the strategy, architecture, and execution of the company’s global data program. This is a broad, high-impact mandate: you will own the data platform that underpins our products and operations, the datasets that drive business decisions, the analytics capabilities that serve our internal and external stakeholders, and the machine learning and artificial intelligence initiatives that will define Trustly’s competitive edge in the years ahead. You will be a key member of the extended C-suite, partnering with the CTO, CPO, CFO, and business leaders across the company to turn data into product, revenue, and risk advantage. You will set the vision for how Trustly thinks about data as a first-class asset, while building and leading the engineering, science, and analytics teams to deliver on that vision at scale. What you’ll do Global Data Platform & Infrastructure • Define and execute the strategy for Trustly’s global data platform, including data lakehouse architecture, streaming and batch pipelines, data cataloging, observability, and correctness., • Own the end-to-end data engineering function, ensuring reliable, scalable, and cost-efficient data infrastructure that serves product, analytics, risk, and compliance use cases across all geographies., • Drive the evolution of Trustly’s data stack, making deliberate build-vs.-buy decisions and managing a best-in-class ecosystem of data tools and vendors., • Establish and enforce data standards, taxonomy, and governance frameworks that enable self-service access without sacrificing data quality or integrity., • Partner with Engineering and Infrastructure teams to ensure the data platform meets the availability, security, and regulatory requirements of a globally operating payments company. Data Strategy & Key Datasets • Identify, develop, and steward Trustly’s highest-value proprietary datasets, including transaction-level payment data, bank account intelligence, consumer behavioral signals, and merchant performance data., • Define a long-term data strategy that turns Trustly’s unique data assets into durable competitive advantages - for risk management, product differentiation, and potential new revenue streams., • Oversee data governance, data lineage, and master data management programs, ensuring a single source of truth across the organization., • Champion data quality and reliability as foundational standards, implementing frameworks that ensure confidence in data used for business-critical decisions., • Collaborate with Legal, Compliance, and Privacy teams to ensure responsible and lawful use of data across all jurisdictions, including under GDPR, CCPA, and relevant open banking data regulations.Analytics & Business Intelligence, • Build and lead a world-class analytics function that delivers actionable insight to business stakeholders across Product, Finance, Risk, Operations, Sales, and the C-suite., • Establish a self-service analytics culture, enabling non-technical teams to access, explore, and act on data confidently and safely., • Own the development of key performance metrics, executive dashboards, and board-level reporting, ensuring data is accessible, accurate, and impactful at every level of the organization., • Partner with merchant-facing teams to develop external analytics products and insights that deepen Trustly’s value proposition with key partners and enterprise clients. Machine Learning & Artificial Intelligence • Lead Trustly’s machine learning and AI program, setting the technical vision and organizational structure for applied ML across fraud detection, risk scoring, payment success optimization, personalization, and operational automation., • Build and grow a team of machine learning engineers and data scientists, establishing rigorous practices for model development, validation, deployment, and monitoring., • Drive the responsible adoption of generative AI and large language models where they can create meaningful productivity or product value, with appropriate governance and oversight., • Define and maintain Trustly’s AI ethics and model risk management framework, ensuring fairness, explainability, and regulatory compliance across all deployed models., • Stay current with the rapidly evolving AI/ML landscape and translate emerging capabilities into concrete business opportunities for Trustly. Leadership & Cross-Functional Partnership • Recruit, develop, and lead a high-performing, global team of data engineers, analytics engineers, data scientists, ML engineers, and BI analysts., • Foster a data-driven culture across Trustly, partnering with senior leaders to raise the overall level of data literacy and analytical rigor in decision-making., • Represent Trustly’s data capabilities externally with partners, regulators, and the broader industry, where relevant., • Contribute to the broader technology leadership team, collaborating with the CTO and peer executives on cross-cutting strategy and resource allocation.Who you are, • 15+ years of progressive experience in data engineering, data science, analytics, or a closely related technical discipline, with at least 5 years in a senior leadership role., • Demonstrated success building and scaling data platforms and teams in high-growth, data-intensive technology or financial services environments., • Deep expertise in modern data architecture: cloud data warehouses (Snowflake, BigQuery, Redshift), data lakes, streaming platforms (Kafka, Flink), and orchestration frameworks., • Hands-on understanding of machine learning and AI methodologies, with experience overseeing applied ML programs in production at scale., • Strong command of data governance, data quality, and regulatory compliance requirements relevant to financial services and global data privacy law (GDPR, CCPA)., • Track record of translating complex data strategy into business outcomes, with the communication skills to influence C-suite and Board-level audiences., • Experience managing geographically distributed, cross-functional data teams in a global organization., • Prior CDO, VP of Data, or equivalent executive title at a technology company, payments platform, or regulated fintech., • Experience in payments, open banking, financial services, or another highly regulated, data-rich industry., • Familiarity with transaction-level payment data, fraud modeling, credit risk scoring, or consumer behavioral analytics in a financial context., • Proven experience building or scaling ML platforms and MLOps infrastructure for production model deployment and monitoring., • Experience with generative AI and large language model deployment in an enterprise context., • Advanced degree (M.S. or Ph.D.) in Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience., • Experience with pre-IPO data program build-out and supporting data-related due diligence. Applications for this role are accepted on an ongoing basis. LOCATION & WORKPLACE This is a hybrid role based out of our San Francisco or New York hubs. We look for team members to be in the office Tuesday through Thursday. SALARY RANGES IN US-BASED ROLE POSTING Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Recruiters can share more information with applicants about the specific salary range for preferred locations during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only and do not include other perks and benefits. WHAT WE OFFER At Trustly, you will have the chance to solve meaningful challenges alongside some of the brightest minds in FinTech. Together, we are shaping the future of payments in an environment that celebrates curiosity, collaboration, and innovation. You will be challenged and empowered to grow, making a real impact every step of the way. Our team is as diverse as the global footprint we serve, with colleagues across Silicon Valley, the U.S., Canada, Brazil, Europe, and beyond. At Trustly, we foster a workplace where everyone feels they belong—a place where teamwork thrives, ideas flourish, and we never forget to have fun along the way. We offer innovative perks and benefits packages that include: • Flexible paid time off & generous PTO accrual plans, • Comprehensive medical, dental, vision, and other insurances, • FSA & HSA plans for medical and dependent care, • Home office set-up allowance, • Internet stipend, • Retirement plan match for 401k and RRSP, • Gender-neutral paid parental leave, and more! (The benefits and total compensation packages outlined above are for full-time employees; some exclusions apply for temporary positions.) At Trustly, we embrace and celebrate diversity of all forms and the value it brings to our employees and customers. We are proud and committed to being an Equal Opportunity Employer and believe an open and inclusive environment enables people to do their best work. All decisions regarding hiring, advancement, and any other aspects of employment are made solely on the basis of qualifications, merit, and business need. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionCompany Description “We’re not in the shipping business; we’re in the information business” -Peter Rose, Expeditors Founder We take care of our employees, and they take care of our customers! Become a member of a global community! The international logistics industry is an integral piece of the global trade puzzle; we make the world go round. Global supply chain management is what we do, and at the heart of Expeditors you will find professionalism, leadership, and a friendly environment, all of which foster an innovative, customer service-based approach to logistics. Expeditors is a global logistics company headquartered in Seattle, Washington. As a Fortune 500 company, we employ over 19,000 trained professionals in a worldwide network of over 350+ locations across six continents. Expeditors satisfies the increasingly sophisticated needs of international trade through customized solutions and seamless, integrated information systems. Our Mission We recruit, train, and retain the very best logistics and technical experts the world over. We love to promote from within - more than 50 percent of our employees have been at Expeditors for five years or more. Our high retention rate is influenced by a unique compensation program for positions that are more than just jobs - they're chances to grow, do what you love and build a career with us! www.expeditors.com Job Description Description: Employed in the position of Healthcare General Operative, working within the GDP Warehouse environment to ensure that all Healthcare products are handled and stored in accordance with current GDP best practices. Healthcare Manager Job-Specific Tasks and Duties: This section lists job-specific tasks and duties, such as the ones listed below, that are completed on a regular basis by the Healthcare Manager. • Conduct all GDP tasks as they relate to the district facility type and GDP Customer requirements that are outlined in the QA & Customer SOP, • In Expeditors owned or leased facilities, ensure that facilities and equipment are maintained to GDP standards, • Take responsibility for ensuring that all risks that may impact GDP activities or customer product are risk assessed., • Report any security issues to the site security manager., • Ensure all facility exits are secure preserving security, temperature-controlled areas, and rodent control., • Ensure that any non-compliant stock is physically segregated and act on instructions from the GDP CR to Quarantine Returned, Rejected, Recalled or Falsified Products in line with company procedures., • Ensuring that the Premises and Equipment are up to the required GDP standards of cleanliness, through the continued upkeep of the cleaning program. Report any sightings of pests or rodents., • Approved Quality Agreements and Service Level Agreements are adhered to in line with the Customer SOP., • Ensure compliance with agreed customer requirements as documented in the Customer SOP., • Ensure that only GDP approved Service providers are used, when requested by the customer., • Work with Branch CR to Manage Corrective Actions and Preventive Actions (CAPA) to ensure that the appropriate actions are documented and implemented correctly and timely., • Ensure that customers have been informed in writing of any issues with shipments., • Lead GDP initiatives in the district as they relate in the office operations & warehouse., • Attend conference calls with the Healthcare Regional Team as required., • Participate in departmental and other meetings at the district as appropriate to discuss GDP Compliance in operations., • Participate in the District BCP review where Warehouse/storage contingency plans are applicable., • Engage with Account Managers of district GDP Customers supporting on GDP quality topics., • Primary point of contact for strategic RFQ’s with Product, GEO and CHQ Pricing teams., • Work closely with Vertical team to understand thermal packaging capabilities and help to incorporate into unique solutions for Expeditors and our customers., • Thermal Packing and TC Equipment management (Datalogger, Thermal Equip, Cargo Signal), • Oversee Transition and Implementations for Healthcare customers., • Assure key Healthcare attributes are included into SOP’s and operational processes., • Develop a strong understanding, working with Vertical team and Product, of core carrier capabilities, maintain capability matrix’s and align carrier strengths with Expeditors and our customer’s needs. Work closely with carriers on executing unique, strategic solutions that benefit Expeditors and our customers. Expeditors Key Performance Expectations: Exceptional Customer Service: Exceeds customer expectations by anticipating, understanding and meeting needs. Is proactive and when issues arise, is timely and resolute in solving problems, including escalating to management when necessary. Builds rapport and exhibits empathy during interactions, and consistently strives to improve customer satisfaction with customers. (This skill expectation applies both externally (customers, service providers) and internally (other Expeditors offices/employees). Job Execution: Consistently completes quality work that matches job expectations. Is committed to operational excellence and continuous improvement for own job function and across the network. All activities are compliant with company policies/procedures and code of business conduct and with government regulations.  Reliability: Consistently meets deadlines. Is punctual and can be relied on for planning purposes. Is organized, manages own time effectively and can prioritize. Collaboration: Displays a willingness to accomplish not only his/her own job responsibilities without the need for constant prodding but is willing, without request, to aid and assist others to the benefit of the company and/or customers. Works in harmony with superiors and fellow workers without incident or delay. Communication: Effectively listens to others and communicates (verbal and written) in a professional manner, both internally and externally. Provides relevant and timely information to co-workers, customers and service providers. Answers phone calls and responds to voicemails, emails and other communication according to Expeditors' standards. Culture: Exhibits and promotes the company’s 10 cultural attributes: Appearance, Attitude, Confidence, Curiosity, Excellence, Integrity, Pride, Resolute, Sense of Humor, and Visionary. Personal Growth and Development: Participates in training within the company’s guidelines, completing at least 52 hours of relevant training per year. Completes required training in a timely manner with minimal reminders. Pursues professional development goals for self, including participating in a development plan as appropriate. Operational Process Standards (OPS):Expeditors’ Operational Process Standards (OPS) are in place to ensure we are providing consistent and quality services to our customers. Operators must maintain a thorough working knowledge of the latest GDP OPS versions, guiding our employees to meet our documented standard processes and identification of where there may be risk to the quality of our services being provided to our customers. Warehouse GDP Compliance: Adhere to local and standard GDP requirements identifying required actions according to GDP standards as documented in the Operational Process Standards (OPS). GDP Document Control: Ensure that all current version documents are used, recorded, and retained in compliance with OPS and local regulations. The use of Expeditors systems enforced as standard practice. Complete any GDP documents that relate to the storing, picking and distribution of Healthcare Products in compliance with Good Documentation Practice. Internal and External GDP Audits: Take part in external Customer or Regulatory Audits. Perform self-assessments according to GDP standards as documented in GDP OPS. Communicate the results of all internal and external audits. Incident Reporting: The Healthcare Operations Manager must be informed when any issues arise in relation to healthcare products that may not comply with agreed customer or regulatory standards. Report immediately to the Healthcare Representative any suspicion of Falsified/ Counterfeit products. GDP Training: Ensure GDP Trainings are current and compliant in line with Expeditors GDP Training Map and GDP regulation. Customer Service: Oversee onboarding new Healthcare Customers, work with T&I to align the Customer SOP as it relates to Healthcare/GDP. Consider network business, communicate any and all instructions as they relate to our network. Coordinate implementation of Quality Technical Agreements and Service Level Agreements, collaborating with the Healthcare group and Expeditors legal department for approval. Physical Demands: • Use of standard office equipment - computer with keyboard and mouse, phone, fax/copy/scan machine, etc., • Write with pencil/pen/marker., • Functions performed primarily standing and driving a forklift truck. Local Applicants Qualifications Strong Air Product Expertise. Global logistics industry knowledge • Good time management, • Fluent in English, • Professional oral and written communication skills in English and in the local language, • Facilitation & communication skills, • Problem solving skills., • PC skills including Microsoft Excel, PowerPoint, and Word, • Process analysis skills, • Competent goal setting skills, • Good Distribution Certification Additional Information Expected base salary: $70,304.00 Eligible for bonus Expeditors offers excellent benefits: • Paid Vacation (first year prorated based off month of hire then eligible for 15 days), • Holidays (10), • Flexible Days (2), • Paid Sick Time (accrual rate of 1 hour of sick time per 30 hours paid), • 401(k) Retirement Savings Plan with employer match, • Employee Stock Purchase Plan (ESPP), • Medical, Prescription Drug, Dental & Vision Coverage, • Health Savings Account (HSA), • Life and Disability Insurance, • Paid Parental Leave (additional eligibility criteria), • Dependent Care Flexible Spending Account (DC FSA), • Commuter Benefit, • Employee Assistance Program (EAP), • Learning & Development Program, • Educational Assistance and Reimbursement All your information will be kept confidential according to EEO Guidelines.

The Role As one of our first Account Executives, you will be the tip of the spear for our Sales-Led Growth (SLG) motion. You will be responsible for driving revenue by acquiring new B2B customers—ranging from agile AI startups to mid-market enterprises. You are a "full-cycle" closer who is comfortable hunting for outbound opportunities, running technical discovery calls with CTOs and AI researchers, and navigating complex deal cycles. Because we are a cross-border team, your ability to bridge the gap between US clients and our global engineering team will be critical to your success. What You Will Do • Full-Cycle Sales: Own the entire sales process from prospecting and lead generation to negotiation and closing., • Outbound Hunting: Proactively identify and target AI startups, research labs, and tech companies that require scalable GPU compute and LLM API solutions., • Technical Discovery: Conduct deep-dive discovery calls with technical buyers (CTOs, VP of Engineering, Lead AI Scientists) to understand their infrastructure pain points and position our solutions effectively., • Pipeline Management: Maintain a healthy pipeline of opportunities, providing accurate forecasting and CRM hygiene., • Cross-Border Collaboration: Work closely with our global product, engineering, and marketing teams (based in China and the US) to ensure customer feedback is translated into product improvements and to secure technical support for complex deals., • Market Intelligence: Act as the eyes and ears on the ground, gathering insights on competitor pricing, feature gaps, and market trends in the Silicon Valley AI ecosystem. Who You Are (Qualifications) • Experience: 3+ years of quota-carrying B2B sales experience in Cloud Infrastructure (IaaS/PaaS), Developer Tools, or AI/Machine Learning SaaS., • Technical Empathy: You don't need to write code, but you must deeply understand the AI landscape. You know the difference between training and inference, understand what an API endpoint is, and can confidently discuss GPUs and LLMs., • Startup DNA: You are scrappy, resilient, and thrive in an ambiguous, fast-paced, 0-to-1 environment. You don't wait for a playbook; you build it., • Bilingual : Fluency in both English and Mandarin Chinese is highly preferred. Bonus Points • Existing network and relationships within the Silicon Valley AI startup ecosystem.

About Drafted Drafted is unlocking creativity in the physical world. We’re building foundational models and generative pipelines that create floor plans and renderings instantly, so anyone can imagine their dream home. Starting with single-family homes, we plan to verticalize across all dimensions of the pre-construction stack. Generative architecture is a prime domain for applied research with abundant data, verifiable constraints, and a clear value proposition. Our team of second-time founders, engineers, and designers pairs exceptional product taste with deep technical rigor to turn real-world buildability constraints into an intuitive, creative experience. Drafted's Values We're a small team working fully in-person in San Francisco. We value high-ownership builders who want to be a part of a talented, highly motivated team. We're guided by the following values: • Own the mission. We take agency, act like owners, and see problems through to real outcomes., • Build in the open. We value direct feedback, fast learning, and growth through honest collaboration., • Move with care and speed. We iterate quickly while staying deeply respectful of our teammates., • Seek the why. We challenge assumptions, think from first principles, and never stop asking questions., • Design for everyone. We believe anyone should be able to design and build a home they love., • Solve what matters. We embrace hard problems and create new paths forward when none exist. The Role As a design engineer, you’ll contribute meaningfully to the end-to-end experience, from prompting and ideation workflows to the tools users rely on to iterate, edit, and visualize their designs. Our product blends exceptional product craft with deep technical work, so you’ll collaborate closely with design, engineering, and research. Example Projects • Design, implement, & iterate on editing generated plans using our existing machine learning model capabilities., • Design, implement, and iterate on how users guide the output home design with new model controls (i.e. multi-floor, exterior design, etc)., • Design, implement, and iterate on the existing user interface to reduce friction and increase the number of users creating a home they love. Desired Skillset • 5+ years experience coding, • ⁠Experience with making high quality, detailed, and maximally implementable Figma designs, • ⁠⁠Experience writing Next.js + Tailwind front ends, • Experience with Typescript backend code using standard relational databases Salary Range • $150k - $200k + 1-2% equity

Data Scientist (#40352) W2 ONLY Onsite in South San Francisco No C2C. No 3rd Party Contact On Site/In Person interview is required Master's Degree or higher required We are seeking a Senior Data Scientist (Level II) to support high-impact AI/ML initiatives within a regulated environment. About the Role Contract Data Scientist role Onsite/Hybrid in South San Francisco. This is a Hybrid role requiring 3 days a week ONSITE in South San Francisco from Day 1. An ONSITE interview is also required. If you are available and interested in being submitted for this role please get back to me with the following: • Your resume attached as a Word Document, • Your Desired W2 Pay Rate, • Your current location, • I also need the Month and Day of your Birthday for their resume submittal system. Required • Master’s or PhD in Data Science, Computer Science, Statistics, or a related field, • Minimum 5+ years of hands-on experience in data science and machine learning model development, • Proven track record of taking models from ideation through production deployment, • Strong proficiency in Python, SQL, and AWS, • Deep expertise in Machine Learning and/or Deep Learning techniques, • Experience working with large-scale, complex datasets in collaborative environments Preferred • Experience within healthcare, pharmaceutical, or other highly regulated industries, • Hands-on experience with claims data or similarly complex, regulated datasets, • Strong understanding of data privacy, compliance, and governance requirements, • Experience with MLOps practices, including pipeline automation, deployment, and monitoring Responsibilities • Model Development & Optimization, • Lead the design, development, and optimization of machine learning models to improve targeting accuracy and business performance, • Apply advanced Machine Learning and Deep Learning techniques to refine existing models and develop new solutions as needed, • Feature Engineering & Data Preparation, • Design and build scalable feature pipelines, transforming raw and complex datasets into high-quality model inputs, • Work with large, messy datasets (e.g., claims data) while ensuring data integrity and usability, • Production & Pipeline Scalability, • Transition analytical models and scripts into robust, production-ready pipelines, • Ensure code quality, documentation, and adherence to engineering and data science best practices, • Support model deployment, monitoring, and ongoing performance improvements, • Cross-Functional Collaboration & Insight Translation, • Partner with data science, analytics, and business teams to translate business problems into technical solutions Data Scientist W2 Contract role: Data Scientist II ROCGJP00040352 We are seeking a Senior Data Scientist (Level II) to support high-impact AI/ML initiatives within a regulated environment. This role will focus on advancing targeting models and delivering scalable, production-ready solutions that drive business outcomes. The ideal candidate brings strong technical depth, hands-on model development experience, and the ability to operate independently while collaborating across cross-functional teams. What We’re Looking For • A self-driven, senior-level contributor who can lead model development efforts and influence technical direction, • Someone who thrives in a team environment and contributes to shared goals without needing sole ownership, • A candidate who balances technical excellence with business impact, delivering solutions that are both scalable and meaningful Additional Notes This is a Level II role, requiring demonstrated depth in both technical execution and real-world application of AI/ML solutions. Candidates must be comfortable working in a fast-paced, collaborative, and regulated environment. Please email resume to Ellen at elerner@csi-it.com

Databricks certifications (Data Scientist, Data Engineer, or related). Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses. You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of

Shape the Future of Blockchain—Bringing Business On-Chain We’re offering a unique opportunity to join Launch Legends (and Autheo) as a part-time Equity Cofounder. Founded nearly four years ago, Launch Legends is at the forefront of bridging Web3 blockchain technology with the next evolution of Web2 integration—bringing businesses on-chain through enterprise-grade solutions, DePIN innovations, and decentralized financial infrastructure. Our flagship project, Autheo, is an AI enabled Layer-Zero OS with an integrated Layer-1 blockchain and complete decentralized infrastructure thast includes decentralized compute, storage, identity, and service marketplaces, as well as a Full-stack development enveronment (DevHub)—engineered for scalable enterprise adoption, developer innovation, and real-world blockchain integration. Our Projects • Autheo – www.autheo.com, • Autheo Team - https://www.autheo.com/teams, • Launch Legends (Parent Company) – www.launchlegends.io, • Twitter: https://x.com/Autheo_Network About Autheo With nearly 100 equity cofounders from leading companies and institutions—many with advanced degrees and PhDs—Autheo is solving the critical challenges blocking business adoption of blockchain technology. Key Features: • Enterprise-Grade Layer-1 Blockchain – High-speed, self-securing, and cost-efficient infrastructure built for scale., • Developer Hub & Application Marketplace – A decentralized platform where developers build, deploy, and monetize real-world apps., • Web2-Web3 Integration – Microservices, SDKs, and governance frameworks for seamless business migration., • Decentralized Cloud & Compute – Secure, privacy-preserving storage and AI-powered compute for next-gen applications., • DePIN Infrastructure – On-chain networks powering real-world infrastructure ownership and resource sharing. Traction (Testnet Launch): • Wallet Accounts: 290,000+, • Twitter Followers: 30,000+, • Discord Members: 19,000+, • Smart Contracts Deployed: 30,000+, • Developers Registered for MVP DevHub: 7,500+ Compensation & Growth Path This is a part time equity / token-based cofounder opportunity. You will receive equity in Launch Legends, Autheo, and the WFO Creator Network, along with token allocations in the Autheo blockchain. We have already completed an initial financing round to support infrastructure and marketing, and are currently in discussions with VCs and crypto investors to fund expansion and salaries. Salaried compensation is expected to begin within 4 to 5 months, following our node, token sales or funding. ROLE: Node Sale Business Development Engineer (Web3 Only) Autheo – Validator Node Sale Program Equity • Tokens • 7% Commission (Full commissions begin post-funding) About the Role Autheo is launching one of the most advanced validator node programs in the blockchain industry as the first phase of a long-term, multi-category node ecosystem. Following the Validator Node Sale, Autheo will roll out successive node-sale platforms for Cloud Nodes, Compute Nodes, AI Nodes, DePIN Nodes, Entropy Nodes, and more. We are seeking a Web3-native Business Development Engineer to lead outreach, engagement, and conversions for the Validator Node Sale. This role is strictly for candidates already experienced in Web3—validator node sales, DePIN hardware, institutional staking products, L1/L2 node infrastructure, or Web3 business development. You will lead Autheo’s $3.5M validator node sale across retail buyers, institutions, DAOs, staking firms, crypto funds, and private purchasers. This role requires someone who can execute immediately with no introductory learning curve. Key Responsibilities • Lead and execute the full end-to-end sales cycle for Autheo validator nodes across retail, institutional, and strategic buyers., • Engage and convert inbound leads from social channels, community events, AMAs, Telegram groups, and referral pipelines., • Contact and convert partners who historically purchase nodes: staking firms, Web3 funds, infrastructure providers, DAOs, validator guilds, and DePIN operators., • Build and execute outreach campaigns across X/Twitter, Telegram, Discord, LinkedIn, and Web3-native networks., • Present Autheo’s validator economics, technical value, uptime requirements, and reward structures with authority and precision., • Maintain deep familiarity with Proof-of-Stake mechanics, unlock schedules, emissions curves, and network economics., • Coordinate with Marketing, Ecosystem, and Leadership to support targeted campaigns and convert warm communities., • Prepare institutional-grade presentations for $50K–$500K+ buyers., • Build a long-term pipeline of strategic node purchasers for Testnet and Mainnet expansions., • Track leads, commitments, forecasts, and conversions for weekly reporting. Requirements – Must Have • Direct experience selling validator nodes, miners, GPU clusters, staking products, or decentralized hardware., • Established Web3 business development network across infrastructure funds, validator guilds, staking firms, crypto VCs, node operators, and L1/L2 ecosystem communities., • Strong understanding of L1 validator architectures, Proof-of-Stake economics, token emission and unlock structures, and institutional validator operations., • Ability to sell complex technical products to both deeply technical and financially focused audiences., • High-energy closer with a proven track record in fast-paced, execution-driven Web3 environments. Nice to Have • Experience selling nodes in Cosmos, Polkadot, Avalanche, Solana, Aethir, or DePIN compute ecosystems., • Prior work at a staking provider, institutional validator, exchange, or Web3 infrastructure startup., • Strong Web3 presence on X/Twitter or validator communities. Compensation • Equity + Tokens, • 7% commission on all validator node revenue, • Performance bonuses tied to Pre-Sale and Public Sale milestones About Our Organization Autheo is a visionary technology company building the virtual machine platform that surpasses Ethereum EVM, Solana SVM, and all legacy execution environments with microsecond latencies, and mathematically proven security. Our mission is to create unbreakable execution infrastructure that empowers developers to build sovereign dApps, confidential DeFi protocols, secure enterprise solutions, and privacy-preserving AI systems. We are developing revolutionary technologies including Layer 0/1 blockchains with attack-resistant consensus, execution environments supporting encrypted computation, sovereign communication systems with perfect forward secrecy, and DePIN networks delivering 200GB/s secure compute. Backed by pioneering runtime leadership and a global team of elite systems engineers, cryptographers, and blockchain architects, Autheo is positioned to dominate the $300B+ smart contract execution market while establishing new standards for secure, scalable decentralized computation. Join us to build the execution foundation that will power the sovereign digital economy of the 21st century. 🌐 🚀 WHY JOIN LAUNCH LEGENDS? • Traction with Momentum: Autheo is already gaining significant traction in the blockchain space, with rapid developer adoption, platform growth, and partnership interest., • Cross-Industry Impact; Autheo is positioned to transform not only the Web3 ecosystem—but also Web2 and the broader technology sector—by enabling real-world business adoption of decentralized infrastructure., • Real Innovation, Not Hype: Unlike many blockchain ventures, Autheo is focused on substance over speculation. We are building real solutions: modular fullstack infrastructure, enterprise-grade toolkits, decentralized identity, cloud, compute, and service orchestration., • Backed by Elite Talent: You’ll join a team composed of professionals from top-tier universities, Fortune 500 companies, and major blockchain platforms. Our team includes multiple PhDs and senior engineers who have launched and scaled world-class technologies. If you're ready to redefine blockchain adoption, empower global business integration, and help shape the next generation of Web3 and developer ecosystems, we invite you to take the next step. Let’s build the future—together. _

Airbnb is committed to working with the broadest talent pool possible. Data represents the voice of Airbnb’s users at scale. Architect, design, and implement Airbnb's next-generation big data compute platform to support data ETL, analytics, and machine learning initiatives.

We’re looking for a Senior Software Engineer to build and scale the backend systems that power our AI agent. This role sits at the intersection of backend engineering, machine learning, and product, and is focused on turning AI capabilities into reliable, production-ready systems. You won’t be training models, but you will make them work in the real world. You’ll build APIs, services, and data systems that connect LLMs and ML models to user-facing experiences, ensuring performance, reliability, and scalability. • Design and build APIs and backend services that power AI-driven product experiences, • Develop systems that integrate LLMs and ML models into production workflows, • Build and maintain data pipelines supporting training, inference, and evaluation, • Partner closely with ML Engineers, Data Scientists, and Product to ship end-to-end features, • Improve system performance, reliability, and scalability across services, • Contribute to experimentation and feedback loops that improve model and product performance, • Debug complex production issues and drive root cause resolution, • Raise the bar on code quality, system design, and engineering standards, • AI-powered features are reliably delivered through scalable, well-architected backend systems, • ML and LLM capabilities are seamlessly integrated into product experiences with strong performance and uptime, • Clear, maintainable APIs and services enable fast iteration across engineering and product teams, • Systems are designed with strong observability, enabling rapid debugging and improvement, • Engineering decisions consistently balance speed, quality, and long-term scalability, • 5+ years of experience in software engineering, with strong backend focus, • Strong proficiency in Python and experience building production-grade systems, • Experience designing APIs and service-oriented architectures, • Experience working with ML/AI systems in production environments (LLMs, ranking, recommendations, or similar), • Familiarity with databases (SQL and/or NoSQL) and data-intensive systems, • Experience with cloud platforms (AWS, GCP, or Azure) and modern infrastructure, • Exposure to containerization and orchestration (Docker, Kubernetes), • Ability to operate in ambiguity and take ownership of loosely defined problems, • Strong product mindset with focus on real user outcomes, • Clear communication and ability to collaborate across engineering, ML, and product The expected base salary range for this role is $200,000–$225,000 USD and will vary based on skills, experience, role level, and geographic location. Final compensation will be determined by considering these factors alongside overall role scope and responsibilities. In addition to base salary, Wizard offers: • Equity in the form of stock options, • Medical, dental, and vision coverage, • 401(k) plan, • Flexible PTO and company holidays, • Fully remote work within the United States, • Periodic company offsites and team gatherings Wizard is committed to fair, transparent, and competitive compensation practices.

About The Role This role focuses on advancing next-generation AI systems through large-scale ML infrastructure, training optimization, and framework-level engineering. The work involves supporting cutting-edge GenAI initiatives, improving model performance, and contributing to highly scalable AI training environments. Position: MLOps Engineer Type: W2 | Full-Time Contingent Role Engagement: Remnote Global | Full-time Compensation: $90–$140/hour Location: United States (Remote) Role Responsibilities • Support AI research and engineering teams in improving ML infrastructure and training systems, • Design advanced MLOps and ML systems tasks with accurate, structured technical solutions, • Evaluate ML systems outputs and provide detailed technical feedback, • Develop evaluation rubrics and frameworks for distributed systems, training pipelines, and kernel-level optimization, • Collaborate with domain experts to maintain consistency and quality across AI training workflows, • Contribute to improvements in large-scale model training performance and infrastructure reliability Requirements • 2+ years of professional experience in ML infrastructure, MLOps, or ML systems engineering, • Hands-on production experience with JAX and/or PyTorch at scale, • Experience writing or optimizing GPU kernels using Pallas or Triton, • Strong understanding of ML training systems and distributed infrastructure, • Demonstrated career progression in engineering or AI infrastructure roles, • Ability to commit to a full-time 40-hour/week weekday schedule, • Strong written communication and technical documentation skills Engagement Details • W2 employment engagement, • Full-time, 40 hours/week, • No conflicting full-time engagements permitted, • Remote role within the United States, • Opportunity to contribute to leading frontier AI initiatives Application & Onboarding Process • Upload resume, • AI interview: A short, 15-minute conversational session to assess background and technical expertise, • Follow-up communication with next steps and onboarding details

About the Company A high-growth, venture-backed technology business is building next-generation AI infrastructure for global tax and trade compliance. The platform combines advanced machine learning, large-scale legal interpretation, and real-time transaction processing to automate complex international indirect tax obligations across multiple jurisdictions. The business operates globally, works with some of the fastest-scaling technology companies in the world, and is expanding rapidly across areas including VAT/GST, sales tax, e-invoicing, withholding taxes, tariffs, and input tax recovery. This is a rare opportunity to join a deeply technical, product-led environment where tax expertise directly influences the development of AI systems at scale. About the Role We are looking for an experienced indirect tax professional to support the evolution of a proprietary AI-driven tax determination engine. Reporting directly into senior leadership within Tax & AI Enablement, this individual will sit at the intersection of tax, product, operations, and engineering. You will play a critical role in helping translate complex global tax legislation into structured logic and scalable operational processes that improve the quality, accuracy, and defensibility of AI-generated compliance outcomes. The role is highly cross-functional and suited to someone who enjoys solving difficult problems in fast-moving environments where there is little existing playbook. Responsibilities • Support the continuous refinement and validation of AI-generated indirect tax determinations across sales tax, and related transaction taxes, • Review complex jurisdictional tax treatments and convert technical concepts into structured logic frameworks usable by engineering and product teams, • Work closely with internal research, product, and engineering stakeholders to improve system accuracy and scalability, • Assist in maintaining and expanding internal tax knowledge frameworks covering multiple global jurisdictions, • Monitor legislative developments and assess the downstream impact on AI-driven compliance workflows, • Contribute to testing, QA processes, reconciliations, and control frameworks relating to automated tax outputs, • Provide technical feedback on edge-case scenarios, product functionality, and transaction-level determinations, • Support onboarding and guidance of more junior tax researchers and AI trainers as the function scales, • Help shape scalable approaches to areas such as e-invoicing, digital services taxation, marketplace rules, and emerging international compliance obligations Qualifications • Strong indirect tax background covering sales tax within industry, advisory, or tax technology environments, • Experience working alongside technology, product, transformation, or systems teams, • Ability to interpret complex legislation and communicate conclusions clearly to both technical and non-technical stakeholders, • Strong understanding of compliance processes, controls, reconciliations, and operational tax workflows, • Naturally detail-oriented with a high accuracy threshold, • Comfortable operating in fast-paced, ambiguous, high-growth environments, • Intellectual curiosity around AI, automation, and the future of tax technology, • International mindset and interest in global tax systems Preferred Skills • Experience within tax technology, SaaS, marketplaces, fintech, or digital-first businesses, • Exposure to AI-enabled workflows, rule engines, or automated compliance products, • Experience dealing with cross-border transaction flows and multi-jurisdictional tax analysis, • Background in process improvement, transformation, or scalable operational design Pay range and compensation package What They’re Looking For: The successful individual will likely be commercially minded, highly driven, and energized by building in environments where speed and ownership matter. This role would suit someone who enjoys operating close to decision-making, solving genuinely complex global tax problems, and helping shape how AI systems interact with real-world legislation at scale. Equal Opportunity Statement We are committed to diversity and inclusivity in our hiring practices.

Our client is a VC-backed startup developing in vivo genetic medicines to engineer the transcriptome and genome of diseased cells. They are combining protein and nucleic acid engineering, high-throughput screening, genomics, and computational biology to build a platform for rapid development and optimization of new therapies. The Opportunity: We are seeking a Head/Snr. Director of Computational Sciences to lead our client's full computational function: software/informatics infrastructure (LIMS), embedded research informatics, bioinformatics, machine learning and scientific computing. This role manages a team of approximately six scientists and engineers, including a Sr Fellow (Informatics), a Principal Scientist, 2 Staff Scientists, and 2 Senior Scientists. The Head/Snr. Director’s highest-leverage contributions will be in driving execution across the computational stack, managing people development for the full team, and leading the infrastructure and bioinformatics functions. This person will be a technical leader across the organization—not only managing the computational team but driving improvements in experimental design and data practices across R&D, while building the software tools and infrastructure that make those improvements practical and sustainable. ML strategy is set collaboratively with the COO; the Head/Snr. Director translates that direction into team priorities while bringing their own technical depth to software systems, data architecture, and analytical rigor. This role has a clear growth trajectory toward VP/Head of Research Technology as the company scales. Primary Responsibilities: People Management & Strategic Contributions • Manage a team spanning a wide range of seniority, disciplines, and working styles; foster a culture of commitment to craft, rigor, transparency, and collaboration, • Navigate interpersonal dynamics constructively, modeling productive conflict resolution, • Build productive partnerships across the R&D organization, combining technical leadership—driving adoption of principled experimental design, standardized workflows, and computational best practices—with strong product discipline around requirements gathering, user training, and iterative delivery of tools and pipelines that scientists actually use, • Provide leadership on the evaluation and implementation of AI productivity tools across R&D, including coding agents and chat-based assistants, ensuring adoption is practical, secure, and integrated into team workflows, • Contribute to R&D strategic planning and execution; support partnership milestone deliverables and due diligence preparation Software & Informatics Infrastructure • Provide hands-on technical leadership for our client's custom LIMS and supporting software infrastructure, • Own the LIMS and infrastructure roadmap execution, with clear milestones and a structured process for capturing and prioritizing feature requests, • Collaborate with the Senior Fellow (Informatics) and other members of the LIMS team on roadmap, technical architecture decisions, and software engineering best practices, • Oversee management of cloud infrastructure (AWS), balancing cost, performance, and reliability Bioinformatics & Research Informatics • Manage bioinformatics team members, ensuring pipelines meet the quality, rigor, and turnaround requirements of therapeutic programs and platform technology development projects, • Oversee guide/primer design, sequencing analysis, off-target analysis, flow cytometry analysis automation, and genomic characterization workflows, • Elevate bioinformatics from an operational support function to a strategic contributor—identifying opportunities where analytical capabilities can shape program decisions, improve candidate selection, and strengthen the data packages that support partnership and regulatory milestones Machine Learning & Scientific Computing • Partner with the COO on ML strategy—particularly around active learning and statistical experimental design—and translate that into team execution plans, • Oversee predictive model development, data pipelines, and computational tools that support therapeutic programs and platform technology development Qualifications: • 10+ years in computational biology, bioinformatics, or research software engineering in biotech/pharma, with 4+ years managing multi-disciplinary technical teams, • Strong software engineering background: application development, database design, API architecture, cloud infrastructure (AWS preferred), • Working knowledge of ML concepts with the ability to manage ML scientists and translate strategic direction into execution; deep ML expertise is a plus but not required, • Experience with bioinformatics pipelines (amplicon, WGS, RNA-seq, or similar) and LIMS or research data platforms, • Working knowledge of AI productivity tools, including chat-based assistants and coding agents, with a perspective on how to deploy them effectively in a research software environment, • Strong communication skills with the ability to influence across technical and scientific audiences, from computational engineers to bench scientists to executive leadership, • Track record of managing and developing scientists and engineers across disciplines and seniority levels, including senior ICs Education: PhD in computational biology, bioinformatics, computer science, or related discipline with 10+ years industry experience; or MS with 14+ years. Background spanning software systems and quantitative biology strongly preferred. Preferred Qualifications: • Experience in gene therapy, gene editing, or genetic medicine development, • Direct experience developing custom LIMS or research software platforms, • Familiarity with molecular cloning and construct design workflows, NGS library preparation, and common sequencing approaches (amplicon, long-read, whole-genome), • Familiarity with active learning, Bayesian optimization, or statistical experimental design in biological engineering, • Experience in a fast-paced, resource-constrained startup environment

Conduit has built the system of record for the modern factory floor. We move manufacturers from one-off automation projects to holistic production systems where robots, machines, operators, sensors, and factory software synchronize. We are live with top manufacturers, are well capitalized, and are growing quickly. We are hiring the industrial computer vision engineer who is tired of vendor-locked machine-vision tools and ready to build the modern version that will run the American factory floor. The Role This is a customer-first FDE role for an engineer who has already deployed vision systems in industrial settings. You know what it takes to run real-time inference on a factory floor. You will go into customer plants, scope what they need, design and deploy the camera / edge / model stack, and own it through go-live and ramp. You will spend time with plant managers and CEOs as much as with operators and IT. You will be the customer’s conduit for machine learning, prioritization, and implementation of the OFL. What You’ll Do • Lead CV/ML deployments at customer plants., • Build full pipelines from training to inference, including the data work (manual labeling, automated / programmatic labeling, weak supervision, active learning loops)., • Apply CV to real industrial problems: defect, classification, ergonomics, action recognition, material / part tracking, machine state, operator-assist., • Spec and procure the hardware. You are trusted to order tens of thousands of dollars of compute and cameras when the line needs it., • Run the streaming side. Multi-camera setups, sync, edge inference, smart triggers, alerting, downsampling to cloud., • Communicate clearly upward. The plant manager and CEO get clean answers from you. The SF product team gets clear briefs., • Reduce deployment time on every customer. Who You Are • 5+ years deploying CV/ML systems in industrial environments, including manufacturing, AV, warehousing, logistics, energy, agriculture, or similar., • Strong Python. Experienced with PyTorch and machine learning libraries. Fluent in modern CV (detection, segmentation, classification, action recognition, vision transformers) and in inference toolchains (TensorRT, ONNX, Triton, DeepStream)., • You have built end-to-end pipelines from training to inference and dealt with the data side seriously, labeling at scale, both manual and automated., • You are a hardware-comfortable software engineer. You have ordered GPUs, set up edge boxes, mounted cameras, and dealt with the parts of the job that are not in a notebook., • You are a credible customer presence., • You want to be a part of the reindustrialization of the United States. Nice to Have • Experience with industrial machine vision (Cognex, Keyence, Zebra / Adaptive Vision, MVTec Halcon) and an opinion about what they get right and wrong., • Experience with NVIDIA Jetson, Orin, Triton, TensorRT, DeepStream., • Background in ergonomics, pose estimation, action recognition, or video understanding for industrial work., • Experience integrating CV systems with PLCs, MES, or operator HMIs., • Experience leading deployments in regulated environments (automotive, aerospace, food/bev, pharma). Why Conduit You have seen what is wrong with industrial computer vision. Conduit is the chance to rebuild it inside the kinds of plants where it can scale. • Top tier pay and equity: We want to make it easy to join Conduit., • Generational opportunity. Be early at a company defining the software layer for industrial automation., • American re-industrialization is happening. We’re building the platform to make it real — faster., • Zero bureaucracy. High impact. You’ll be on the front lines, solving real problems for real factories., • You will level up. You’ll work directly with the founder and exec team — and grow into a senior operator Conduit is an equal opportunity employer. We welcome applications from all qualified candidates.

Lead the Team Building AI Technology Transforming Engineering Simulation Starting at $200,000 This role sits at the center of a highly technical engineering team focused on building AI and machine learning systems that improve how complex engineering simulations are developed, tested, and deployed across industries. In this role, you will lead the technical direction of a cutting-edge product area while remaining deeply hands-on in development. You will help shape the systems, engineering standards, and technical culture behind software solving real-world physics and simulation challenges across areas like fluid dynamics, thermal systems, and structural analysis. You will work closely with researchers, engineers, and business stakeholders to translate complex engineering problems into practical machine learning solutions. The environment is highly collaborative and focused on balancing innovation with real-world execution. If you enjoy leading from the front, solving difficult technical problems, and building AI systems that push engineering and simulation technology forward, let’s talk. No up-to-date resume required.

About the Role: As the Hardware Lead, you will serve as the technical cornerstone driving the architecture and implementation of Reconceive’s next-generation analog MAC IP and custom memory. At Reconceive, we believe the future of AI compute relies on achieving unprecedented power and performance through architectural innovation and fundamental analog physics, rather than relying solely on brute-force digital node-scaling. In this cross-functional leadership role, you will operate seamlessly across transistor-level circuit design, physical silicon characterization, and system-level architecture. You will be responsible for the design of highly optimized custom hardware in established commercial CMOS technologies, as well as the development of robust automated pipelines that correlate empirical silicon telemetry with behavioral models for continuous, post-silicon optimization. This role will interface closely with our AI team to co-develop model training capabilities and drive the adoption of AI-enabled automation across the design lifecycle. Responsibilities: • Mixed-Signal Hardware Architecture: Architect, model, and design Reconceive’s analog MAC IP. Champion advanced Design-for-Manufacturing (DFM) practices to aggressively mitigate variation, mismatch, and parasitic challenges inherent to highly optimized mixed-signal compute., • Custom Memory Leadership: Lead the end-to-end architecture, design, and layout optimization of custom, highly efficient SRAM tailored for low-power, high-throughput AI acceleration., • Data Converter Design: Architect high-performance, ultra-low-power data converters (with a strong emphasis on SAR ADCs) and switched-capacitor circuits optimized for stringent system-level power and area constraints., • Behavioral Modeling & Algorithmic Co-Design: Build and maintain high-fidelity behavioral models of the physical hardware. Provide critical feedback to the algorithm and systems teams to guide hardware-aware exploration., • Post-Silicon Characterization & Calibration: Design robust physical characterization protocols. Develop automated data pipelines (Python/MATLAB) with support from our SW/AI team to correlate empirical silicon telemetry with behavioral models, ensuring highly accurate post-silicon predictability., • Silicon Lifecycle Ownership: Perform rigorous feasibility studies to validate performance. Oversee third-party IP integration, chip bring-up, and system-level debugging., • Mentorship & Organization Building: Guide layout teams with strict best practices for parasitic mitigation and device matching. Mentor junior engineers and assist executive leadership with strategic hiring to scale the hardware organization. Qualifications: (Note: We recognize this is a highly multi-disciplinary role. We encourage applications from "T-shaped" engineering leaders who possess world-class depth in core areas—such as Custom Memory or Analog Design—paired with a strong aptitude and desire to master surrounding domains like Python automation and AI co-design.) Minimum Qualifications: • Education & Experience: MS or Ph.D. in Electrical Engineering (or equivalent) with 10+ years of proven, hands-on industry experience. Exceptional track record as a chip lead taking complex mixed-signal/analog designs to volume production., • Foundational Analog Mastery: Deep, practical expertise in system and circuit design. Must demonstrate a first-principles mastery of device physics, variation mitigation, mismatch analysis, and rigorous DFM methodologies, with a proven track record of successful tape-outs in commercial CMOS processes., • Custom SRAM (Mandatory): Extensive, demonstrable experience in the design, layout supervision, and silicon-proven implementation of custom, high-performance SRAM arrays., • Data Converters: Deep expertise designing energy-efficient data converters (with a strong emphasis on SAR ADCs, though experience with algorithmic or pipelined topologies is highly valued) and switched-capacitor circuits., • Data & Automation Proficiency: proficiency in Python and/or MATLAB. with demonstrated ability to build automated characterization pipelines that extract, process, and correlate physical silicon data with high-level system models., • Analog & Digital Design: Extensive experience designing essential analog functions (filters, op-amps, bias circuits, oscillators) and high-speed/low-power custom digital logic., • EDA Tool Mastery: Expert-level proficiency with industry-standard IC design and verification toolchains (e.g., Cadence Virtuoso, Siemens EDA / Calibre, SPICE/FastSPICE simulators)., • Startup DNA: Ability to thrive in a fast-paced, highly ambiguous environment; willing to roll up your sleeves, wear multiple hats, and execute with urgency while laying the groundwork for a scalable hardware team., • Reliability: Strong foundational knowledge of ESD, EMIR, and device lifetime reliability problems and their practical design solutions. Preferred Qualifications: • Experience with variation-aware design and high-sigma yield analysis tools (e.g., Siemens Solido Variation Designer)., • Advanced behavioral modeling experience (e.g., Verilog-A / Verilog-AMS) for mixed-signal system verification., • Direct exposure to machine learning platforms, neural network topologies, and hardware-aware training loops.

About the job Sonilo is a VC-backed AI music generation company building the next generation of soundtrack creation for video. Founded in Silicon Valley, Sonilo helps creators, brands, and platforms instantly generate original music that understands a video’s content, pacing, and exact duration — eliminating the need for manual editing, stock music searching, or beat matching. From short-form social content to cinematic storytelling, Sonilo enables anyone to turn silent videos into finished content in seconds through AI-powered music generation built for modern creators. Role Description As a Machine Learning Engineer, you will combine hands-on engineering with architectural leadership to design and implement reasoning systems, tool orchestration, and multimodal integrations using cutting-edge large language models (LLMs) and diffusion models. What You'll Do Develop next-generation AI systems for video-to-music generation and multimodal creative workflows Build and optimize AI-native product experiences that understand video content, pacing, emotion, and timing to generate high-quality music experiences Design scalable model architectures and inference pipelines for multimodal generation Work closely with product, design, and infrastructure teams to bring cutting-edge generative AI capabilities into production What You Need To Succeed Master’s or PhD degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related field Demonstrated experience in generative AI, multimodal systems, LLMs, diffusion models, music/audio generation, or AI agent development Experience building scalable AI systems, model inference pipelines, or real-time AI applications Strong foundation in machine learning, software engineering, data structures, and algorithms Excellent problem-solving and analytical skills, with a proactive and ownership-driven mindset Ability to move quickly and adapt in a fast-paced startup environment where priorities may evolve rapidly and ambiguity is common

100% remote. Must reside in Bay Area. Must have prior Start Up experience. About the Role We're looking for a Tech Lead Manager (TLM) to own and drive the AI team building the intelligence layer at the heart of our Client's platform. This is a hybrid IC/management role where you'll spend approximately 70% of your time on hands-on technical work and 30% on people management and team leadership. On the technical side, you'll design, build, and ship the models, agents, and ML systems that power Our Client's predictive and prescriptive capabilities—from forecasting workforce demand and flagging burnout risk to orchestrating LLM- driven planning workflows trained on each customer's historical data. You'll write production code, drive architectural decisions across model training, serving, and Tech Lead Manager, AI 1 evaluation, and set the bar for applied ML quality. On the management side, you'll build, mentor, and grow a high-performing team of ML and AI engineers, owning their career development, performance, and day-to-day delivery. The ideal candidate thrives at the intersection of applied ML depth and people leadership—comfortable context-switching between shipping models and coaching engineers. You'll set the technical direction for your team, partner closely with Product, Design, and Data, and ensure your squad delivers AI capabilities that are reliable, measurable, and shipped at a pace that matches our Clients's growth trajectory. What You'll Do Technical Leadership & Execution (~70%) Own the architecture and delivery of AI features end-to-end—from data ingestion and feature engineering to model training, serving, evaluation, and the product surfaces they power. Design and build the systems behind our Client's forecasting, recommendation, and agentic planning capabilities, including LLM-based pipelines, classical ML models, and hybrid approaches trained on per-customer historical data. Drive engineering excellence: lead architecture discussions for model training and inference infrastructure, set standards for offline/online evaluation, experimentation, and responsible AI, and participate in the full ML lifecycle from problem framing through deployment, monitoring, and on-call. Make pragmatic technical decisions that balance model quality, latency, cost, and long-term system health. Leverage modern infrastructure including PostgreSQL, Redis, Kubernetes, vector stores, and streaming technologies to power our Client's real-time AI workflows. Engage in hands-on coding, model development, code reviews, and performance optimizations, setting the standard for applied ML excellence across the team. Tech Lead Manager, AI 2 Champion AI quality—accuracy, calibration, robustness, latency, and the guardrails that make AI outputs trustworthy in an enterprise context. Implement best practices in evaluation, observability, drift detection, and A/B testing to ensure reliability and measurable customer impact. People Management & Team Leadership (~30%) Manage, mentor, and grow a team of ML engineers and applied AI engineers, owning their career growth, performance reviews, and professional development. Conduct regular 1:1s, provide timely and constructive feedback, and create individual development plans for each report. Foster a culture of psychological safety, trust, accountability, and continuous improvement. Own team planning: scope AI work with Product and Design, participate in sprint planning and Agile ceremonies, and remove blockers. Drive hiring for the team—defining roles, conducting interviews, and making hiring decisions to build a world-class AI engineering team. Maintain team health by monitoring workload, preventing burnout, and ensuring sustainable delivery. Cross-Functional Collaboration Partner with Product Managers and Designers to translate product vision into well-defined AI problem statements and technical plans. Communicate progress, model performance, risks, and trade-offs clearly to engineering leadership and non-technical stakeholders. Collaborate across Engineering, Data, and Platform teams to drive alignment on shared data, features, evaluation infrastructure, and serving systems. What We're Looking For B.S. or M.S. in Computer Science, Machine Learning, or a related field, or equivalent experience. Tech Lead Manager, AI 3 7+ years of hands-on software engineering experience with a strong applied ML background—shipping production ML systems, not just prototypes or research. 2+ years of engineering management or tech lead experience, including direct reports, mentorship, and team-level delivery ownership. Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, or equivalent), plus comfort in at least one backend language (Python, Node.js, or Ruby) for productionizing services. Deep understanding of the applied ML lifecycle: problem framing, data pipelines, feature engineering, training, evaluation, deployment, and monitoring. Hands-on experience with LLMs and modern AI tooling—prompt design, retrieval-augmented generation, fine-tuning, agentic workflows, and evaluation of non-deterministic systems. Proven experience designing, building, and operating scalable ML systems in data-heavy environments. Solid grasp of software engineering best practices: testing, code review, CI/CD, design documentation, reproducibility. Experience with RESTful APIs, relational databases (PostgreSQL), vector databases, and cloud-native architecture (Kubernetes, containerization, microservices). A systems-level thinker who balances model quality with pragmatic, business- aware decision-making around cost, latency, and time-to-ship. Excellent communication skills—you can translate complex ML concepts for both engineers and non-technical stakeholders, and set realistic expectations about what AI can and can't do. Demonstrated ability to balance technical execution with people leadership— comfortable context-switching between shipping models and coaching engineers. Early-stage startup experience (Seed to Series C) preferred—comfortable wearing multiple hats and building in fast-moving environments. Tech Lead Manager, AI 4 Nice to Have Experience building agentic systems, tool-using LLM pipelines, or multi-step reasoning workflows in production. Familiarity with time-series forecasting, recommendation systems, or workforce/operations modeling. Background in MLOps tooling (MLflow, Weights & Biases, Ray, Kubeflow) or large-scale data pipeline orchestration (Airflow, Dagster, Prefect). Experience with real-time analytics and streaming infrastructure such as Redis, Kafka, or Apache Pinot. Experience building and scaling AI teams in a high-growth startup environment. Knowledge of evaluation frameworks for LLM-based systems and experience designing offline/online eval harnesses. Why Join Our Client? High Impact: Deploy technology that changes how enterprises plan, manage, and scale their workforce. Deep Technical Ownership: Work directly in code—not just configure systems—and ship meaningful solutions to real customers. Cross-Functional Exposure: Operate at the intersection of Engineering, Product, and Design. Growth & Learning: Build expertise in enterprise-scale systems, data reliability, and AI-driven automation. Benefits: Competitive compensation, meaningful equity, world-class medical/dental/vision coverage, and a flexible remote-first culture with team events, offsites, and happy hours. If you're passionate about building AI systems at scale, love developing people as much as models, and want to be part of a company growing at rocket speed, we'd love to hear from you.

About Liminal Insights Liminal’s mission is to accelerate the clean energy transition by improving the cost, quality, and reliability of battery manufacturing. We do this by providing customers with better analytics and insights during production. Our breakthrough EchoStat® platform uses ultrasound and machine learning technology to supply customers with the information needed to accelerate production ramp-up, improve productivity and reliability, and detect critical defects early. Liminal has active product evaluations with major cell manufacturers and EV OEMs, and is poised to rapidly expand its product portfolio and installed base. Our Culture and Values • We are dedicated to building a world-class, world-positive company., • We work closely on a foundation of mutual trust and informed decisions., • Our core values are trust, empathy, and curiosity., • We encourage personal growth, continuous learning, and safety., • We believe the most innovative teams are inclusive of and celebrate all forms of diversity. Role As a Senior Systems Engineer at Liminal, you will join a passionate and agile team developing next-generation ultrasonic inspection systems for advanced battery manufacturing applications. This role is strongly focused on advanced ultrasound technology development, with particular emphasis on phased array ultrasonic systems, signal processing, and system-level optimization for high-performance industrial battery inspection. You will lead R&D initiatives spanning core technology development, system architecture, customer applications, performance characterization, and next-generation product development. The ideal candidate combines deep expertise in ultrasonic systems with strong experimental, analytical, and cross-functional engineering skills. You are a hands-on engineer who enjoys diving deeply into complex system behavior and translating first-principles understanding into practical engineering solutions. You are intellectually curious, methodical, and comfortable leading open-ended technical investigations with a high level of ownership and autonomy. The ideal candidate brings both strong theoretical understanding and practical experience with real-world ultrasonic inspection systems. Responsibilities • Lead development, characterization, and validation of advanced ultrasonic inspection systems for battery manufacturing applications., • Develop deep theoretical and practical understanding of ultrasonic wave propagation, transducer behavior, acoustic coupling, and signal interpretation in complex battery structures to enable technology advancement and new inspection capabilities., • Drive the design, evaluation, and integration of core ultrasonic technologies, including phased array configurations, acquisition electronics, and coupling strategies., • Analyze large and complex ultrasonic datasets and develop advanced signal processing and imaging methodologies to improve defect detectability., • Build system- and subsystem-level models to predict inspection performance, acoustic behavior, sensitivity, throughput, repeatability, reliability and operational tradeoffs across varying customer applications and manufacturing conditions., • Design and execute rigorous experiments to validate system specifications, characterize performance limits, and support technology development throughout the full product lifecycle from concept development through production deployment and field support., • Work closely with Product Management and customers to translate inspection challenges and manufacturing requirements into measurable system-level specifications, technical requirements, and performance metrics., • Collaborate cross-functionally with Data Science, Software, and Hardware teams to validate concepts, troubleshoot complex issues, and deploy scalable, production-ready inspection systems. Minimum Requirements • Bachelor’s degree or equivalent in Physics, Electrical Engineering, Mechanical Engineering, or related field with 7+ years of relevant experience; OR Master’s degree with 5+ years; OR PhD with 2+ years of relevant experience., • Strong hands-on experience developing, characterizing, troubleshooting and optimizing ultrasonic inspection systems, preferably phased array ultrasonic systems for NDT or medical imaging applications., • Deep theoretical and practical understanding of ultrasound physics and acoustic propagation in complex media. Strong background in ultrasonic simulation and signal processing techniques. Experience correlating simulation, experimental data, and real-world system performance is highly desirable., • Experience designing, executing, and interpreting experiments to characterize and improve complex inspection or metrology systems., • Experience applying systems engineering principles to predict system performance and optimize solutions for customer applications., • Strong data analysis and programming skills (Python is preferred)., • Good communication and presentation skills with ability to work effectively across technical, commercial and leadership teams. Nice to haves • Experience with Solidworks or similar CAD programs., • Working knowledge of Linux systems., • Experience integrating inspection systems into automated manufacturing environments., • Technical proficiency in Korean. Benefits • Annual salary of $160,000 to $210,000 plus stock options, based on skill level and experience, to help you and your family build a healthy and secure future., • Group health benefits that provide support for employee well-being and preventative care, including comprehensive medical, dental, vision, and life insurance., • A retirement program that helps build future financial security through both traditional and Roth 401(k) options with employer matching., • Flexible working hours so you can be productive at the times that work best for you., • Generous time-off policy to allow you to renew and refresh through vacation, personal leave, and holidays., • For new parents, 12 weeks of fully-paid parental leave that you can take at any point during the first year. Liminal is an equal-opportunity employer. We celebrate all forms of diversity and are committed to creating an inclusive environment for all employees. However you identify or whatever your path here, please apply if this job excites you. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the hiring process, perform essential job functions, and receive other benefits and privileges of employment.

Summer Internship & Emerging Talent Program | United States About the job We are building what we believe is the world’s first AI-native Data Center Operating System. NEXUS AIDC is opening a limited number of highly selective Summer Internship opportunities for ambitious students, graduates, and emerging technologists interested in AI infrastructure, cloud systems, observability, automation, and next-generation enterprise technologies. This is an opportunity to work directly on cutting-edge AI infrastructure platforms alongside experienced global technology leaders in a fast-moving, high-performance startup environment. Company Description NEXUS AIDC is revolutionizing the data center industry with the world’s first AI-native Data Center Operating System, purpose-built for the AI era. Designed to address the rapid growth of AI workloads and infrastructure complexity, NEXUS provides a unified platform integrating DCIM, APM, FinOps, Kubernetes orchestration, AI workload management, and full-stack observability. The platform delivers predictive intelligence, continuous optimization, and autonomous remediation, enabling enterprises to make smarter decisions, optimize infrastructure cost, and accelerate AI deployments at scale. Our mission is to transform data center operations from fragmented tool management into intelligent, autonomous infrastructure orchestration. Summer Internship Program: AI Infrastructure – United States Location: Hybrid Interns at NEXUS will • Contribute to real-world product development initiatives, • Collaborate with engineering, product, and strategy teams, • Gain exposure to enterprise AI and cloud ecosystems, • Work on technologies shaping the future of data centers and AI operations, • Operate in a fast-moving, high-performance startup environment Internship Domains We are currently accepting applications across: (1) Engineering & Technology • Software Engineering I Frontend Development (React / Next.js) I Backend Engineering, • DevOps & Cloud Infrastructure I AI / Machine Learning I Platform Engineering, • Observability & Monitoring Systems (2) Product & Design • UI/UX Design I Product Management I Technical Research & Documentation (3) Business & Growth • Digital Marketing I Business Development I Enterprise Pre-Sales I Strategic Partnerships Ideal Candidate Highly driven individuals who: • Think beyond conventional career paths, • Are passionate about AI, cloud, software, and emerging technologies, • Have strong ownership mindset and execution ability, • Thrive in fast-paced environments, • Want exposure to real startup innovation at a global level Students and recent graduates from Computer Science, Engineering, AI, Data Science, Design, Business, and related disciplines are encouraged to apply. Why This Opportunity Stands Out • Work on next-generation AI infrastructure platforms, • Exposure to enterprise-grade technologies and global deployments, • Mentorship from senior technology and business leaders, • Opportunity to build real products with measurable impact, • Fast-learning, high-autonomy environment, • Potential pathway into future full-time opportunities If you want to work on technologies that will define the future of AI infrastructure and enterprise computing, we would love to hear from you. #Internships #SummerInternship #AI #CloudComputing #SoftwareEngineering #MachineLearning #StartupCareers #TechnologyJobs #Students

About Us Mintegral is a leading programmatic and interactive mobile advertising platform. Focused on the APAC region and radiating out globally. Powered by advanced AI technology, we provide global advertisers and developers with innovative, comprehensive experiences. With our efficient mobile marketing and monetization solutions, we help our clients exceed their marketing goals. As Mobvista’s self-developed programmatic platform, since Launched in 2015, Mintegral has quickly grown to become one of the largest mobile advertising platform in Asia. We offer a full stack of programmatic products and services including our Self-service Platform, DSP, SSP, Ad Exchange and DMP. We have also created the Mindworks Creative Studio, which offers publishers and brands cutting-edge creative solutions, from traditional creative right through to the latest interactive ad formats. For more information, please visit our website: _ Responsibilities • Own the end-to-end algorithm development lifecycle, including problem formulation, solution design, experimental validation, and online deployment., • Leverage data analysis and algorithmic innovation to optimize model inference performance, enhance monitoring systems, and continuously improve both monetization efficiency and user experience within the advertising platform., • Identify potential issues and optimization opportunities across the ad delivery system., • Actively participate in technical discussions, stay proactive in learning, and apply new technologies to solve real-world problems., • Track cutting-edge research in machine learning and incorporate advanced techniques into practical adtech applications. Qualifications • Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, Mathematics, Physics, or a closely related technical field; strong academic background preferred., • Excellent problem-solving skills, with the ability to abstract complex problems, build models, and analyze large datasets., • Strong engineering fundamentals and production-quality coding skills (Python, C++, or related languages)., • Self-driven, resilient, and able to navigate challenging problems with a proactive mindset., • Hands-on experience with optimizing ad systems end-to-end, and understanding system behavior through data loops and feedback cycles. 2 years of working experience in the adtech industry is preferred., • Practical experience with feature engineering, model architecture design, and sample distribution analysis; background in generative recommendation or LLM-based approaches is a plus., • Experience in RTB and ads strategies, such as cold-start optimization, budget pacing, calibration, or bidding strategies, is strongly preferred.

Principal AI Engineer San Francisco, CA - 4 days onsite $225,000 - $250,000 + bonus + LTI; $500,000-$700,000 total THE COMPANY Harnham is partnering with a top financial services company in the NYC area, which is looking for an experienced AI / ML Engineer. This person will be at the forefront of building AI automation applications for new ways at identifying cost-saving opportunities. You'll partner with executive teams across the company and own generative AI, LLM and reinforcement learning modeling and deployment. RESPONSIBILITIES • Work closely with department heads to align on business goals, define machine learning challenges, and design effective ML solutions., • Develop and deploy machine learning models, including building data pipelines, orchestrating ML workflows, and optimizing system performance and reliability., • Maintain a robust codebase by writing well-tested code, covering both functional and non-functional aspects such as unit, integration, and load testing., • Stay informed on industry trends and advancements in generative AI, LLMs, agentic AI, deep learning, experiment with new model concepts, and run both offline and online evaluations., • Actively share knowledge through internal presentations, tech talks, and by promoting best practices in engineering and technology use. SKILLS AND EXPERIENCE • Advanced degree (Master’s or PhD) in Computer Science, Machine Learning or a related field., • Over 7 years of hands-on experience developing and deploying production-ready machine learning / deep learning / AI systems, covering the full model lifecycle—training, tuning, deployment, serving, and monitoring., • Enterprise-level application experience, ideally in real-time preferred., • Expertise in cloud infrastructure (especially AWS), machine learning orchestration tools like Kubeflow, TensorFlow, and the use of Feature Stores in live environments., • Experience as a tech-lead for scaling MLE teams preferred., • Commercial experience combination of big tech and scaling startups / scrappy environments a plus. BENEFITS The compensation package contains a base salary, bonus, LTI and a comprehensive benefits package. HOW TO APPLY Please register your interest by sending your CV via the Apply link on this page. KEY TERMS Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time | Enterprise | Statistics | Mathematics | Financial Services | Banking | Python | Anomaly Detection | Fintech | Agentic AI | AI Agents

Artificial Intelligence Research Scientist Redwood City, CA (on-site M-F) Our client is a high-growth AI company building next-generation voice agents for customer interactions across sales, support, and operations. Backed by leading investors, the team is scaling rapidly with strong revenue traction and a focus on real-time, production-grade AI systems. About the Role This is a research-driven, high-impact role for ML researchers who want to push the boundaries of real-time conversational AI. You’ll focus on advancing model capabilities for human-like voice agents operating in complex, real-world environments, spanning LLMs, speech, and multimodal systems. Your work will bridge cutting-edge research with deployment, directly shaping core product experiences and infrastructure. Responsibilities • Research and develop new techniques across LLMs and audio models to improve reasoning, latency, and conversational quality in real-time voice systems., • Rapidly prototype, train, and iterate on experimental models and pipelines, turning research ideas into working end-to-end prototypes., • Design and maintain evaluation frameworks, datasets, and metrics to benchmark performance on complex, real-world voice and dialog tasks., • Collaborate with engineering to translate research insights into scalable, production-ready systems powering live customer conversations., • Build human feedback loops and annotation workflows to incorporate subjective conversational quality signals into model improvement., • Stay at the frontier of ML research and bring new approaches into the stack, from pre-training and post-training methods to multimodal architectures for voice agents. Qualifications • 1–5 years of experience in audio and/or multimodal ML research or engineering in industry or academia., • Strong ML research background in areas such as LLM pre-training/post-training, ASR, TTS, or multimodal systems., • Deep technical foundation in modern ML, including PyTorch, model architectures, and the underlying math., • Proven ability to design and run experiments on open-ended problems, iterate quickly, and analyze complex model behavior., • Track record of translating research into working systems in real-world, latency-sensitive environments., • Excellent communication skills and comfort working cross-functionally in fast-paced, high-ownership settings. Preferred Skills • Advanced degree (MS or PhD) in Computer Science, Machine Learning, AI, or a related field, or equivalent research-level experience., • Experience shipping models for real-time voice or conversational products (for example, call centers, assistants, interactive agents)., • Prior work with reinforcement learning from human feedback (RLHF), preference modeling, or large-scale human evaluation pipelines., • Experience in early-stage startups or small, high-performing ML teams with high ownership ceilings.

Job DescriptionCompany Description Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. Strategy & Management Consulting Sia’s Strategy & Management Consulting global footprint and expertise in more than 40 sectors and services allow us to enhance our clients' businesses worldwide. We guide their projects and initiatives in strategy, business transformation, IT & digital strategy. A digital leader or growing disruptor, everyone must transform themselves to maintain their advantage. The Sia Technology Business Unit supports clients through digital, operations and organizational transformation adapted to their culture and working methods. We help clients strategize and scale leveraging deep expertise and solutions in compliance and risk management, strategic technology partnerships, data science, operations and business analysis and mergers and acquisitions. Job Description We’re looking for an AI Transformation Consultant to help organizations rethink how work gets done using generative AI, automation, and agent-based workflows. In this role, you’ll work closely with business and technology leaders to identify high-impact opportunities for AI, rapidly prototype solutions, and help scale AI-enabled ways of working across the enterprise. You’ll operate at the intersection of strategy, operations, and applied AI — helping clients move from experimentation to measurable business impact. This is an ideal opportunity for someone who combines structured problem solving with curiosity about emerging AI capabilities and a builder’s mindset. You should be excited by fast-moving technologies, comfortable navigating ambiguity, and motivated by solving real business problems with AI. You’ll have the opportunity to work directly with modern AI platforms and tools, including LLMs, copilots, workflow automation platforms, and agentic systems, while partnering with cross-functional teams to shape how organizations adopt AI responsibly and effectively. What You’ll Do Identify & Shape AI Opportunities • Partner with business stakeholders to identify high-impact opportunities for generative AI, automation, and AI-enabled transformation, • Translate ambiguous business challenges into practical AI use cases, workflows, and solution concepts, • Help prioritize AI initiatives based on business value, feasibility, scalability, and user impact, • Define success metrics tied to efficiency, adoption, quality, and measurable business outcomes Design & Deliver AI-Enabled Solutions • Help design, prototype, and implement AI-powered workflows and agent-driven solutions across functions such as operations, finance, sales, customer support, and enterprise services, • Structure multi-step workflows, including decision logic, orchestration, inputs/outputs, and human-in-the-loop processes, • Collaborate closely with technical, product, and data teams to move solutions from pilot to scaled deployment, • Evaluate emerging AI tools and platforms to identify practical enterprise applications Drive AI Transformation Execution • Support end-to-end delivery across multiple AI and transformation initiatives, • Drive execution across cross-functional teams while balancing speed, quality, and business priorities, • Help establish scalable operating models, governance approaches, and implementation best practices for enterprise AI adoption, • Navigate ambiguity and solve complex problems in fast-paced client environments Measure Impact & Optimize • Track adoption, performance, and business impact of AI-enabled solutions, • Analyze user feedback, workflow outputs, and operational metrics to continuously improve effectiveness and user experience, • Refine prompts, workflows, and operating processes to improve reliability and business outcomes, • Support the development of repeatable playbooks and scalable delivery approaches Enable Adoption & Change • Help organizations adopt new AI-enabled ways of working through training, change management, and stakeholder engagement, • Educate business teams on how to effectively and responsibly leverage AI tools and solutions, • Develop documentation, playbooks, and best practices to support scalable adoption, • Partner with legal, risk, and compliance stakeholders to support responsible AI implementation Qualifications, • 2–7 years of experience in consulting, business transformation, product, operations, program delivery, or technology-related roles, • Bachelor’s degree required, • Experience supporting digital, data, automation, or AI-related initiatives in a consulting or enterprise environment, • Strong understanding of generative AI concepts, including LLMs, AI agents, copilots, automation workflows, and enterprise AI adoption challenges, • Hands-on experience experimenting with AI tools such as OpenAI, Claude, Microsoft Copilot, Gemini, or workflow automation platforms is strongly preferred, • Ability to translate business problems into structured solutions and practical implementation approaches, • Strong communication and stakeholder management skills with experience working across business and technical teams, • Product and solution-oriented mindset with a focus on driving measurable business impact, • Comfortable operating in fast-paced, evolving environments with a high degree of ownership and ambiguity, • Demonstrated curiosity for emerging AI capabilities and a willingness to continuously learn and experiment, • Experience working with enterprise systems, data platforms, CRM tools, or operational workflows is a plus, • Exposure to Agile delivery methodologies or transformation programs is preferred, • Experience in consulting, technology, financial services, or fintech industries is a plus Why Join Us • Work on real-world AI transformation initiatives across industries, • Help organizations operationalize generative AI at scale, • Collaborate with strategy, product, data, and engineering teams, • Experiment with emerging AI tools, copilots, and agent-based workflows, • Shape how enterprises adopt AI responsibly and effectively, • Join a fast-growing team focused on the future of enterprise AI transformation, • Build highly valuable experience at the intersection of business strategy and applied AI Additional Information This role does not require deep machine learning engineering expertise. However, candidates should be comfortable working closely with technical teams and actively experimenting with modern AI tools and workflows. We believe in supporting our team professionally and personally. Here’s a snapshot of the comprehensive benefits you’ll enjoy as part of Sia. Competitive Compensation Annual Base Salary Range: $93,800 - $135,700, commensurate with experience and qualifications Annual performance based discretionary bonus Robust Health Coverage 3 Medical plans Dental and Vision Life, AD&D and other voluntary insurance Tax-Advantaged Accounts 401K retirement plan 4% matching and 100% vested upon enrollment Health Savings Account (HSA) Flexible Spending Account (FSA) Health, Dependent Care, Commuter Family Friendly Benefits 100% paid parental leave for all new parents with eligible tenure Building Healthy Families program if enrolled through Medical plan Time Off to Recharge Generous Paid Time Off (PTO) policy 9 company holidays plus 1 floating holiday Extras that Make Life Easier College savings and student loan repayment assistance Monthly cell phone stipend Access to wellness programs at no cost if enrolled through Medical plan, including: Gym membership reimbursement LiveHealth Online virtual care Personalized support from a Well-being Coach Employee Assistance Program at no cost Free confidential counseling and emotional support services On-demand access to Emotional Well-being resources (ranging from relaxation techniques to stress management) Diversity, Equity, Inclusion & Belonging At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. Please visit our website for more information. Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. Office Workplace Guidelines Sia is committed to providing a flexible workplace environment that supports client, business, and market needs. Consultants located in our primary market office locations—New York City, Charlotte, Seattle, and San Francisco—are expected to live within a reasonable commuting distance and attend the office at least three days or more per week. For Consultants outside of our primary markets, we can offer more flexible in-person requirements in accordance with your location. Work Authorization & Sponsorship At this time, Sia does not intend to employ any applicant who will require, either now or in the future, employment visa sponsorship or sponsorship for work authorization (i.e., H1-B visa, F-1/OPT) or STEM OPT, TN, etc). Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

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We are seeking an innovative and results-oriented Lead Data Scientist with a strong understanding of machine learning, generative AI, and data-driven product development to join our dynamic AI Strategy and Development Team. Partner with data teams, Arcadia’s subject matter experts, and customer

We are seeking a highly experienced and driven Senior Machine Learning Data Scientist to join our Women's Health team. Strong domain knowledge in Women's Health and experience with health data from wearables are significant plusses. You will play a pivotal role in developing and commercializing cutt

Runpod is pioneering the future of AI and machine learning, offering cutting-edge cloud infrastructure for full-stack AI applications. Founded in 2022, we are a rapidly growing, well-funded company with a remote-first organization spread globally. Our mission is to create a foundational platform for developers to build and run custom AI systems that scale. Join us as we shape the future of AI. We’re hiring an Engineering Manager to lead a high-impact product engineering team building customer-facing features across Runpod’s console, APIs, and developer workflows. You’ll take ownership of a roadmap area end-to-end - partnering with Product and Design to shape scope, then guiding your team through architecture, execution, quality, and launch. This role is ideal for a leader who’s shipped at millions-of-users scale, thrives in fast-moving environments, and can go deep technically in Linux systems internals and/or cloud systems engineering - you have experience building cloud platforms (control planes, orchestration, networking, storage primitives, kubernetes components), not just applications running on top of them. You’ll help Runpod deliver the fastest, most intuitive path for builders to train and deploy AI in production. • Own Feature Delivery for a Product Area: Lead a team of engineers responsible for shipping new functionality and iterating existing product surfaces. Deliver predictable, high-velocity outcomes that improve customer experience and business value., • Plan and Execute Roadmaps: Translate product strategy into clear technical plans, milestones, and success metrics. Identify tradeoffs early and manage scope, risk, and timelines., • Technical Leadership & Architecture: Drive pragmatic system design for product-layer services and workflows, ensuring scalability, performance, and consistency with Runpod’s platform., • Build and Grow a Strong Team: Hire, mentor, and develop engineers; set expectations, provide feedback, and create a culture of ownership, speed, and craft in a remote-first environment., • Quality & Reliability for Product Surfaces: Improve automated testing, release safety, observability for customer-facing systems, and regression prevention. Ensure on-call health for your team’s services., • Cross-Functional Collaboration: Partner tightly with Product, Program management, Support, GTM, and Infrastructure counterparts. Coordinate dependencies cleanly while maintaining clear ownership., • Operational Excellence: Establish team rituals and delivery systems (sprints/kanban, retros, design reviews). Use data to improve cycle time, throughput, and feature adoption., • Customer-Driven Execution: Stay close to user needs by incorporating feedback, analytics, and support signals into prioritization and iteration., • Engineering Management Experience: 2+ years managing a team of high performance software engineers, including ownership of roadmap delivery, hiring/firing, performance, and team culture., • High-Scale Product Delivery: 6+ years as a software engineer building and shipping products used by millions of users, with clear evidence of personal impact., • Systems-Level Technical Depth: Strong experience with Linux systems internals and/or cloud systems engineering - ideally building platform capabilities (orchestration, control planes, distributed services, networking or storage layers)., • Backend or Full-Stack Proficiency: Comfortable reviewing and contributing to code in modern stacks; Go, Python, and/or TypeScript experience preferred., • Distributed/Cloud-Native Architecture: Solid understanding of microservices, APIs, eventing, data stores, and service-to-service communication patterns., • Delivery & Metrics Mindset: Experience running execution processes and using metrics like cycle time, throughput, adoption, and escape defects to improve team flow., • Remote-First Leadership: Proven ability to communicate clearly, align stakeholders asynchronously, and sustain momentum across time zones., • Successful completion of a background check., • Experience building AI/ML + developer platforms, workflow-heavy products, or infrastructure-adjacent product layers (e.g., job orchestration UX, deployment flows, usage/billing, observability surfaces)., • Familiarity with Kubernetes-based platforms, container runtimes, scheduling concepts, or GPU/accelerator workflows., • Track record of scaling teams in high-growth environments while keeping quality high., • Open-source contributions in cloud-native, systems, or ML-adjacent projects. What You’ll Receive: • The competitive base pay for this position ranges from ($175,000 - $250,000). This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location, • Meaningful equity in a fast-growing company- everyone on the team receives stock options — your impact drives our growth, and you share in the upside., • Generous medical, dental & vision plans — we cover 100% for all employees and partial for dependents., • Flexible PTO- take the time you need to recharge, • Most roles are remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication, • Join a passionate team on the cutting edge of AI infrastructure — where culture, learning, and ownership are at the heart of how we scale., • $1,200 Home Office & Equipment Stipend- We set you up for success from day one with gear and support to create your ideal workspace Runpod is committed to maintaining a workplace free from discrimination and upholding the principles of equality and respect for all individuals. We believe that diversity in all its forms enhances our team. As an equal opportunity employer, Runpod is committed to creating an inclusive workforce at every level. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by law. We welcome every qualified candidate eligible to work in the United States; however, we are currently unable to sponsor employment visas

We represent fantastic Vendors! We have awesome Customers! Keeping them connected with the right sales professional is where the magic happens! To start – this is an opportunity to own your own business while having the support and collaboration of a team. Although you don’t have to buy anything to get started, it is an investment of time and a learning curve to develop it to be the rewarding career it can be. Our industry is 100% commission driven. The upside that the rock stars in the business are driven by is their independence, control of their time and financial future. The downside is the initial building process to earn relationships with buyers. Sales Producers, Inc. is a progressive business-to-business sales organization established in 1983. We exclusively represent well-known brands in the Gift and Home Accessory industry with a wide variety of product categories. Our 25 + Independent Retail Consultants cover the 13 Western States and enjoy the benefits of selling to an almost unlimited array of retail stores – if there’s a store front and a cash register, it’s likely to be a sales opportunity for one or more of our lines. Our industry is similar to the Real Estate industry in that the relationships we earn are our biggest asset. The longer you’re in the industry calling on and adding value to your customers, the more successful you become. You set your own schedule, create your own business plan, put it in action as you see fit, earn commission for what you generate, and build your own business. We support that initiative by providing the following: • Well established and highly desirable brands to sell to your retail accounts., • Powerful marketing machine to back up your efforts., • Monthly commission rebate incentive, • Permanent Las Vegas and Los Angeles showroom presence that attracts and rolls out the red carpet for your buyers., • Administrative team to accurately and promptly process and direct deposit your commission every two weeks., • Team of people to teach, guide, share, and be the wind at your back to fuel your success. Position Description: Although we offer an advance, this is a commission-based position. Income is based on an individual’s skill, drive, & tenure & our team ranges from 35K-100K Being an Independent Retail Consultant is like running your own business or owning a franchise without the upfront costs and headaches. Let your inner Entrepreneur come out! • Set your schedule to work around your family or other personal priorities., • Sell, service, and add value to our existing accounts., • Prospect and open new accounts., • Meet agreed upon vendor sales goals., • Be a consistent and reliable partner to your buyers and vendors., • As an expert consultant, advise about product information, suggest merchandising ideas, take charge to inventory to advise for reorders, make ordering recommendations, and share product images for marketing and social media needs., • Set follow up appointments to establish a regular route so buyers can count on you., • While the product is important, our industry is relationship driven at its core. YOU are the most important asset in the equation., • Our Sales Associates benefit from our powerful Marketing outreach effort, Social Media presence, supportive peer to peer culture, prompt commission payments direct deposited bimonthly, and our Company’s track record of long-term relationships with our vendors and team members. Since 1983, we have worked diligently to earn the trust, loyalty, and confidence of our partners and proudly tout our positive and harmonious relationships as a badge of honor. Commission based on results, selling a wide variety of products to a vast spectrum of retail stores. Experience, skills, and traits that make this position a good fit include: • Possess an entrepreneurial spirit, • Previously owned or run a small business, • Accustomed to working independently, setting your own goals, and meeting objectives, • Have a sincere interest in building relationships, • Thrive by working independently and driving your business to meet and exceed vendor goals, • Enjoy the freedom, yet have the self-discipline, to manage yourself, time, and accomplishments without supervision, • Have an innate passion for being in outside sales and are genuinely committed to add value to your buyer and vendor partners, • Naturally at ease to initiate contact and build rapport to establish new relationships and build them, • Being organized, detail oriented, and understanding the importance of planning your time and your appointment objectives ahead of time., • Comfortable juggling multiple tasks, • Flourish working on commission and enjoy the benefit of controlling your own income and time Please visit our website and/or social media to see more about our company http://www.salesproducersinc.com/ https://www.instagram.com/salesproducersinc/ https://www.facebook.com/SalesProducers Resume with a cover letter should be sent to BonnieG@SalesProducersinc.com

1Password is growing faster than ever. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing and the Utah Mammoth. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Extended Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As the Engineering Manager for the Console UI team, you’ll lead and grow a frontend-focused engineering team responsible for shaping the user experience of a new, strategic platform initiative at 1Password. You’ll support a team building the admin and developer-facing interfaces that make complex security and infrastructure capabilities usable, intuitive, and trustworthy. You’ll partner closely with Product, Design, Identity, Security, and Backend Platform teams to translate foundational runtime systems into clear workflows for configuring machine identities, managing secure integrations, defining access controls, and auditing activity. This is not a feature team working at the edges. It is a foundational team defining how customers experience an entirely new layer of 1Password. You’ll mentor engineers, create a strong culture of frontend excellence, and help establish technical direction for a UI surface that must scale in both complexity and impact. You’ll balance rapid iteration with long-term architectural thinking, ensuring the Console evolves into a cohesive, reliable experience as the platform grows. This role requires comfort operating in ambiguity and helping shape both product and organizational boundaries as the platform evolves. This is a remote opportunity within Canada and the US. What we're looking for: Experience managing and mentoring a team of front-end or full-stack developers in a product environment A track record of delivering impactful user-facing features with predictable execution Strong product and UX instincts, especially when translating complex technical systems into intuitive experiences Technical fluency in modern frontend architectures and the ability to engage deeply in architectural discussions Experience defining team direction and roadmaps in partnership with Product and Design Strong cross-functional collaboration skills across engineering, security, and platform teams Clear, effective communication skills across levels of the organization Experience leading remote or distributed teams across multiple timezones What you can expect: Lead, mentor, grow, and retain a high performance team of developers building the core front-end admin and developer-facing experiences for a new strategic platform initiative Define the team’s mission and direction, translating company strategy into a clear roadmap and actionable execution plan Deliver high-quality user-facing systems on time, driving measurable customer and business impact through clear goals, prioritization, and delivery practices Partner closely with Product, Design, Identity, Security, and Backend teams to align roadmaps, manage dependencies, and build cohesive, intuitive workflows on top of complex systems Establish and evolve the frontend technical strategy in collaboration with senior and staff engineers Maintain a high bar for usability, accessibility, performance, security, and long-term maintainability Foster a healthy, inclusive team culture rooted in accountability, ownership, and continuous improvement Actively manage performance, hire thoughtfully, and support meaningful career growth for your team USA-based roles only: The annual base salary for this role is between $192,000 USD and $278,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $171,000 CAD and $248,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, _. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing . For additional information see our _.

1Password is growing faster than ever. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing and the Utah Mammoth. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Extended Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We're thrilled to be scaling out a new team at 1Password to keep our customers secure as they adopt AI, and we're looking for a Senior Developer to join us. This is a unique opportunity to define innovative ideas, shape our technical direction, and contribute to the execution of greenfield projects in the rapidly evolving field of AI. We’re _ for how AI and agentic workflows are secured. Our current focus is on access management for AI agents, ensuring they can safely and seamlessly interact with other software and systems while keeping the credentials used in this exchange secure. We work across a wide-ranging tech stack in a fast-moving space. Our projects span across client-side and system-level logic to back-end systems. You’ll bring a breadth of experience that allows you to quickly jump in new tech stacks and domains and help us create and shape new products and features for this emerging market. This is a remote opportunity within Canada and the US. What we're looking for: You have 2+ years of experience in software development Experience with a modern backend language (e.g. Go, Node.js, Ruby, or Python). A drive for and proven experience in software development best practices, and coding standards You enjoy solving moderately complex problems with a demonstrated ability to tackle problems and propose effective solutions You like communicating and collaborating and can demonstrate experience in working effectively with team and communicating technical concepts to non-technical cross-functional partners You’re passionate about testing methodologies and debugging techniques to ensure high-quality code Bonus points for: Strong understanding of authentication, authorization, and identity concepts (OAuth, OIDC, scoped access, policy enforcement) Familiarity with MCP servers Some experience with Kotlin, Swift, Rust, JavaScript, Go, or related languages. Or a demonstrated ability to pick up new languages quickly. Experience working with distributed systems at scale, demonstrating best practices around monitoring, observability, performance and reliability What you can expect: Code, test, debug, deliver and maintain production software systems for new and existing product features Collaborate with cross functional teams and/or stakeholders throughout the development cycle to ensure smooth releases Work with your teammates and project manager to communicate technical requirements to stakeholders and solve technical problems in a scalable and realistic way Mentor junior and new team members by helping them understand team expectations, providing technical guidance, sharing knowledge, and engaging in pair programming sessions Participate in planning by identifying major tasks and breaking down, estimating, and planning work Write comprehensive tests during various stages of the development cycle, ensuring code is functioning as expected Review code for others to maintain high code quality, knowledge share within the team, and support creating a safe environment of giving and receiving feedback Generate and review documentation on code processes to ensure scalability Stay informed about the latest industry trends, technologies, and best practices in development Be available for on-call rotational work to ensure uninterrupted support and resolve emergencies USA-based roles only: The annual base salary for this role is between $123,000 USD and $172,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $111,000 CAD and $155,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, _. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing . For additional information see our _.

We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'. An AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process. This role is a mix of a few worlds coming together. You’ll be working with machine learning but not in a vacuum it’s applied to real engineering problems, working with 2D and 3D data from CAD, CAE, and CAM systems. A big part of the work is taking complex geometry, design workflows, and simulation data and figuring out how to turn that into something an AI system can actually understand and use. We’re looking for someone who’s strong technically, especially in Python and ML, but also has the curiosity to dig into how things are designed and built in the real world. You might come from a research background or industry but either way you’re comfortable moving between theory and practical application. If you’ve spent time around mechanical systems or engineering design, that’s a big plus, because a lot of this role is about bridging that gap between advanced models and how engineers actually work day to day. • Design, develop, and maintain geometry processing and simulation algorithms for engineering applications., • Build services for reading, processing, and writing 2D/3D engineering data., • Develop rendering modules for generating 2D/3D visual assets., • Curate and manage large-scale datasets for learning-based systems., • Implement and optimize post-training workflows for machine learning models., • Contribute to the development of domain-specific languages for engineering tasks., • 5+ years of academic or industry experience in one or more of the following areas: Geometric Processing, Simulation, Optimization, Machine Learning, or Domain-Specific Languages., • BSc or MSc in Computer Science, Engineering, or a related field., • Proficient in writing clean, modular, and maintainable Python code., • Experience with dataset creation and data pipeline development., • PhD or MS with a focus in Computational Design, Simulation, or AI., • Experience developing CAD/CAM/CAE software tools., • Experience developing or fine-tuning large language models (LLMs), including post-training methods such as quantization, pruning, distillation, or reinforcement learning., • Experience designing or implementing DSLs or compilers. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

$13 - $13/hourpayVideo CapturingIMU (Inertial Measurement Unit)Attention to DetailAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Data-Video Generalist Job Type: Contractor Location: Remote - experts based in Alabama, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, New Hampshire, North Carolina, North Dakota, Oklahoma, Pennsylvania, South Carolina, Tennessee, Texas, Utah, and Wisconsin. Timeline: Applications close on May 22nd at 5 pm PST Job Summary: Join our customers' team as a Data-Video Generalist and play a pivotal role in shaping the future of activity recognition. We are seeking U.S.-based experts to help collect synchronized IMU and video data via smartphones, contributing to next-generation machine learning models. If you are passionate about robotics, detail-oriented, and thrive on consistent, high-quality output, this opportunity is for you. Key Responsibilities: • Capture precise motion data using your smartphone’s sensor suite (IMU) during specified physical tasks., • Supported devices include the iPhone 11 and later, Google Pixel 6 and later, and Samsung Galaxy S21 and later., • Record synchronized video footage to validate and enhance the integrity of collected sensor data., • Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and determinism standards., • Consistently contribute a minimum of 10 hours of approved video data per week throughout the project duration., • Communicate effectively with the team to clarify guidelines and provide feedback on data collection processes., • Ensure timely and reliable delivery of data outputs in accordance with project milestones., • Participate in required device compatibility checks and a custom AI-enabled interview process. Required Skills and Qualifications: • Access to a head strap to be able to record both hands within 48 hours of the start date., • Demonstrated adherence to standardized protocols and rigorous technical instructions., • Proven ability to manage and deliver reliable output in a fast-paced, data-driven environment., • Strong written and verbal communication skills; ability to document work and collaborate remotely., • Experience with mobile devices and a high level of digital literacy., • Physical capability to perform repetitive movement tasks safely and accurately., • Access to a compatible smartphone for high-fidelity sensor and video data collection., • Eligibility to work in designated U.S. states. Compensation Structure Compensation is output-based; experts are paid per recorded video that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply: videos must be at a specific length defined by the project, and experts must submit a minimum of 10 to 15 hours of video per week. Start Timeline & Availability We typically fill roles within 48 hours, so we’re looking for teammates who are ready to jump in. If selected, we’d love for you to start your first task as soon as you move forward with your application. The expectation is to begin within ~24 hours of completing onboarding. Tasks for this project must be performed from a mobile device (smartphone or tablet). Experts will record their workflow directly from the mobile device while completing tasks. Head Strap / Wearable: Tasks for this project must be performed using a head-mounted camera (head strap setup). Experts will record first-person video of physical tasks. The required head strap and any accompanying equipment specifications will be shared during onboarding.

$20 - $70/hourpayKritaIllustrationAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Krita Expert Job Type: Contract Location: Remote Job Summary Join our customer's team as a Krita Expert and help shape the future of creative AI systems. We’re seeking talented illustrators with a passion for digital artistry and deep expertise in Krita to execute structured, end-to-end illustration workflows within a virtual environment. Your creative process will directly contribute to training next-generation AI on authentic artist behaviors. Key Responsibilities • Develop full-fledged digital illustrations in Krita, from initial sketch to final polish, while adhering to best practices and structured layer management., • Perform hour-long, live illustration workflows in a virtual machine, capturing each step of your process for AI training purposes., • Demonstrate and articulate your creative decision-making, effectively communicating both written and verbally with the team., • Collaborate closely with project coordinators to ensure workflows meet high standards and align with AI research objectives., • Utilize advanced Krita features and tools, sharing insight into professional techniques and methodologies., • Provide clear documentation and feedback on your workflows to support continuous improvement of AI systems., • Uphold a high level of organization, structure, and quality across all artwork produced. Required Skills and Qualifications • Demonstrated expertise in Krita with a professional or extensive freelance portfolio showcasing complete illustration projects., • Mastery in digital illustration and structured layer-based workflows from rough sketch to refined artwork., • Strong written and verbal communication skills, with a focus on articulating creative processes and feedback., • Hands-on experience in using Krita’s advanced features, brushes, and layer management tools., • Ability to consistently work independently within virtual environments and meet project goals., • Meticulous attention to detail and a commitment to producing polished, high-quality art assets., • Proven ability to document and communicate workflow steps clearly for technical and non-technical audiences. Preferred Qualifications • Previous experience training or collaborating with AI or machine learning teams on creative projects., • Background in art education or content creation around digital illustration tools., • Familiarity with recording and explaining digital illustration workflows for educational or research purposes.

statistics & Mathematicsdata handlingdata collectingdata analysis and modelingdata visualizationdata clesningprogrammingAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: Join our customer's team as a Data Scientist and play a pivotal role in transforming data into actionable insights that drive business growth. You will leverage your expertise in statistics, mathematics, and programming to tackle challenging data problems, ensuring clean, robust, and insightful analyses. This is an exciting opportunity to work in a dynamic, expert-driven environment that values clear communication and innovative thinking. Key Responsibilities: • Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis., • Develop, validate, and implement statistical models to extract actionable insights from complex data., • Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement., • Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders., • Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery., • Continuously improve analytical methodologies and automation processes to enhance data workflows., • Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: • Expertise in statistics, mathematics, and data analysis techniques., • Proven experience in collecting, handling, and cleaning large, complex data sets., • Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling., • Strong data modeling skills with experience in building and validating predictive models., • Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries., • Meticulous attention to detail and commitment to data quality at every stage., • Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: • Experience working in a remote, cross-functional, or customer-focused team environment., • Background in developing and deploying machine learning solutions in production settings.

The Company SuperAnnotate is a fast-growing, Series B startup revolutionizing the field of AI-data Infrastructure. We specialize in providing cutting-edge data pipeline solutions for Machine Learning, LLM, and GenAI solutions to large enterprise clients, helping them leverage the power of AI to transform their businesses. SuperAnnotate has a fully customizable platform for building annotation tools and workflows that AI projects demand—while unifying the management of all teams, vendors, and data in one place. We’re very proud to have products that are loved by our customers, resulting in us being listed as the _. Senior Director of Customer Success SuperAnnotate is seeking a strategic and experienced Senior Director of Customer Success. This is a critical leadership role, responsible for scaling and evolving our customer success strategy, building a high-performing team, and delivering exceptional value to our enterprise software customers across cutting-edge AI domains—including large language models (LLM), computer vision (CV), and natural language processing (NLP). You will report directly to the executive team and partner cross-functionally with Product, Sales, Marketing, and Engineering to ensure our enterprise customers achieve their desired outcomes with SuperAnnotate. The ideal candidate is a strong leader with a customer-first mindset, exceptional communication skills, and a proven track record of building scalable success programs for enterprise accounts in B2B SaaS organizations. What You’ll Do- Define and execute the company’s Customer Success strategy in alignment with company goals, driving customer adoption, retention, and expansion.- Serve as a strategic advisor to key customers and executive stakeholders, ensuring they derive maximum value from SuperAnnotate's solutions.- Grow and expand existing accounts by deeply understanding customer pains, customer org structures, and our product. - Collaborate with Sales, Product, and Marketing to drive customer onboarding, training, renewals, and expansion efforts.- Develop and standardize key success metrics and use data to continuously improve performance.- Design and implement scalable customer programs such as QBRs, standardized onboarding, customer advisory boards, and others.- Build, lead, and mentor a high-performing team of US Based Customer Success Managers and related roles- Act as the voice of the customer, influencing product roadmap and company strategy.- Own forecasting and reporting on customer health, churn risk, and growth opportunities to the leadership team. What We’re Looking For- 8+ years of experience in Customer Success, Account Management, or related functions, with 3+ years in a senior leadership role.- Experience in B2B SaaS, preferably in AI/ML or developer-focused platforms.- Deep understanding of the AI/ML, Cloud, and Data ecosystem. - Strong understanding of Generative AI ecosystem and ML Platforms.- Strong ability to prospect into existing accounts, understand organizational structures, and identify areas for growth- Strong cross-functional collaboration skills with experience influencing at all levels of an organization.- Excellent communication, storytelling, and executive presentation skills.- Proven ability to scale teams, develop repeatable processes, and deliver measurable customer impact.- Bachelor's degree in Engineering, Computer Science, or a related field is a plus; MBA or advanced degree is also plus.- Nice to Have: Based in the Bay Area with the ability to work from the office 2-3 times per week. For candidates outside the area, monthly travel to the office is expected. Why SuperAnnotate?SuperAnnotate is a leading innovator in AI, LLMs, and data pipeline solutions for machine learning and generative AI. We provide best-in-class infrastructure for frontier model providers and empower enterprises to accelerate their AI initiatives. Our platform is highly rated on G2 and trusted by top AI-driven organizations.$160,000 - $200,000 a yearOnly shortlisted candidates will be contacted for an interview! What you'll have with us • Attractive base salary with significant stock options offering an ownership stake in the company’s success. - Comprehensive health, dental, and vision insurance plans.- 401(k) retirement plan - Flexible paid time off, holidays, and parental leave policies- Opportunity to shape the future of a cutting-edge technology company. - Access to ongoing training and professional development opportunities- Referral Program EqualOpportunity We are an equal-opportunity employer and value diversity at our company. At SuperAnnotate diversity means to us making an effort to reflect the many experiences and identities of the outside world, and treating each other with fairness and without bias. Every day we foster an environment where people of all backgrounds not only belong, but excel to succeed as a company and grow together. We offer equal opportunity regardless of sex, sexual orientation, national origin, color, race, age, marital status, disability, gender identity, veterans and more.

As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc. Role: Data Scientist – Machine Learning Focus. Expertise in data wrangling using SQL,.

The role requires extensive experience in data analysis, agentic ai, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams. A Lead Data Scientist is responsible for designing and implementi

Senior Software Engineer (C/C++ & Python, Networking Domain) Miramar, FL About Quvia Quvia is the AI-powered quality of experience (QoE) management platform for things that move like ships and planes, transforming connectivity and digital experiences even in the most remote and hard-to-reach places. Our platform uses AI and machine learning to seamlessly blend any combination of connectivity, regardless of provider, orbit, or network, into one vendor-neutral environment. Quvia delivers comprehensive, end-to-end analytics and dynamic network orchestration that optimizes for the best possible QoE for applications and end-users. Today, Quvia partners with world-leading Fortune 500 companies in aviation, cruise, shipping, and beyond. Why Quvia? Founded in 2019, Quvia is a fast-growing, Series A tech startup passionate about redefining global connectivity. Our solutions are already addressing significant challenges in the aviation and cruise industries and we’re just getting started. With headquarters in the greater Miami region and offices in the UK and India, our remote-first culture empowers talented individuals around the world to make a lasting impact. Quvia is backed by Columbia Capital, a respected venture capital firm with over $5 billion in fund commitments. Position Overview We are seeking a Grid Data Path Engineer with strong proficiency in C/C++ and Python, and solid experience in the networking domain. The ideal candidate will be responsible for designing, developing, and maintaining software systems that power next-generation networking solutions, with a focus on performance, scalability, and reliability. Having hands-on experience in virtualized environments (VMs) — including setup, configuration, and network integration — along with the ability to design and develop robust, scalable networking software is also an essential requirement. In order to be considered, candidates must be based in South Florida, and live within a commutable distance to our headquarters in Miramar. Key Duties and Responsibilities: • Design and develop software modules using C/C++ for high-performance network applications., • Part of the software also involves integrating with Python based modules., • Work on L2–L7 networking protocols such as Ethernet, IP, TCP/UDP, BGP, OSPF, MPLS, and others., • Collaborate closely with architecture and QA teams to define and deliver robust software components., • Debug and resolve complex issues across multiple layers (application, transport, and network)., • Analyze crash files and debug with the team to resolve them, • Configure and troubleshoot virtual networking in virtual machine (VM) environments — bridges, TAP/TUN interfaces, VLANs, and virtual switches (like OVS)., • Deploy and test networking software inside VMs or virtualized test environments (e.g., KVM, VMware, VirtualBox, or cloud VMs)., • Collaborate with DevOps and QA teams to ensure seamless deployment, configuration, and testing workflows., • Participate in design and code reviews, enforcing best practices for maintainable, high-quality code., • Mentor junior engineers and contribute to technical design discussions and documentation. Requirements: • Bachelor’s or Master’s degree in Computer Science, Electronics, or related discipline., • 7–10 years of hands-on software development experience in C/C++ and Python., • Strong understanding of networking concepts and protocols — IPv4/IPv6, ARP, VLAN, TCP/IP stack, routing, switching, or network virtualization., • Experience with Linux based systems — system programming, socket programming, and multithreading., • Hands-on experience with packet capture/analysis tools (Wireshark, tcpdump, etc.)., • Exposure to DPDK/VPP, SDN/NFV, or network appliances is a strong plus., • Experience integrating software with network management systems (NMS), SNMP, or REST APIs., • Familiarity with CI/CD pipelines, Git, Jenkins, Docker, Kubernetes preferred., • Excellent problem-solving and debugging skills in distributed systems., • Good understanding of software design patterns and performance optimization techniques., • Strong analytical thinking and attention to detail., • Good communication skills and ability to work in a collaborative environment., • Proven track record of delivering production-quality software in fast-paced teams. Preferred / Good to Have: • Experience with VPP (Vector Packet Processing) or DPDK-based applications., • Strong understanding of networking concepts — TCP/IP stack, routing, switching, VLANs, ARP, IPv4/IPv6., • Proven experience with Linux/Unix systems, socket programming, and multithreaded applications., • Hands-on experience in setting up and managing virtual machines and virtual networks —, • including KVM, libvirt, VMware, or VirtualBox., • Familiarity with configuring bridges, vSwitches, TAP/TUN interfaces, and NAT or host-only networking., • Exposure to OpenConfig, NETCONF/YANG, gRPC, or telemetry systems. What We Offer: • Competitive salary, • Equity options, • Performance-based bonus opportunities, • Medical, Dental and Vision benefits, • Life Insurance, • Flexible PTO policy, • 401(k) plan

Machine Learning Data Scientist. Demonstrated success developing deep learning models for large‑scale time‑series or sensor data, ideally physiological or wearable signals, including foundation‑model and self‑supervised/multimodal approaches. Strong grounding in probability, statistics, and

We are seeking a Lead Data Scientist with 8+ years of experience to drive advanced analytics, machine learning initiatives, and data‑driven decision‑making across our fintech/banking product ecosystem. Job Description: Lead Data Scientist (Fintech / Banking). Lead, mentor, and grow a team of 5��

Support missions by applying advanced data science, machine learning, and statistical analysis to large-scale, mission-critical datasets. Strong foundation in machine learning, data mining, statistical analysis, and data modeling. Demonstrated ability to support missions through advanced data analys

We are an innovative technology company providing a cutting-edge, AI-powered cloud platform for the construction industry.Created by industry experts with deep estimating experience, our software dramatically streamlines the pre-construction process.Our solution uses advanced machine learning to aut

Good with data & engineering innovation in practice - you know how to put things together so that they don't blow up.