Benefits:

• Generous stock option package

• Competitive compensation package

• Comprehensive health, dental and life insurance benefits

• 3 weeks paid vacation

• Flexible working hours and work from home options

Experience Requirements:

• Proven experience (3+ years) as a Technical Writer in a technology-driven environment.

Responsibilities:

• Develop, update, and maintain high-quality technical documentation, including user manuals, FAQs, and application notes for the Apera Vue vision system software

• Collaborate with cross-functional teams in-office to locate, review, and standardize existing documentation.

• Create clear tutorials, instructional content, and diagrams that support user understanding and product adoption.

• Ensure accuracy, consistency, and alignment with brand standards in all documentation.

• Maintain up-to-date documentation in response to product updates and feature enhancements.

Benefits:

• Competitive compensation

• equity options

• benefits

Education Requirements:

• Bachelor’s or Master’s degree Commerce, administration, or similar.

• CPA designation.

Experience Requirements:

• 5+ years of experience, preference for experience in the tech industry.

Responsibilities:

• Running day-to-day operations, including AR, AP, payroll, cash management.

• Manage financial month-end close process and prepare related working papers.

• Oversee the order to cash cycle with customers.

• Preparation of semi-monthly payroll.

Education Requirements:

• Bachelor's degree in Computer Science or related field, or equivalent demonstrated experience

Experience Requirements:

• Strong development and debugging skills in Python

• 5+ years of software development experience in distributed systems and cloud-native applications

• Strong experience with cloud platforms and infrastructure as code (Terraform, CloudFormation, Helm)

• Practical experience with Docker containerization and clustering (Kubernetes/EKS/GKE)

• Proficiency in code and system health, diagnosis, resolution and software test engineering

Responsibilities:

• Design, build, and maintain services and deployment for Snorkel’s enterprise platforms

• Design, build, and improve observability and alerting for Snorkel’s enterprise platforms

• Contribute to Snorkel’s inhouse deployment management software to installation and upgrades of various deployments for Snorkel’s enterprise customers

• Build and maintain Snorkel’s production and staging infrastructure; own our k8s and cloud strategy

• Work closely with various engineering teams in defining test strategies and build infrastructure to execute the same

Education Requirements:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.

Responsibilities:

• Orchestration and Infrastructure Development:

• Design, implement, and maintain orchestration tools for workflows using Ray and Prefect.

• Build and manage infrastructure for scalable data connectors to integrate with systems like S3, Snowflake, and Databricks.

• Optimize compute resource utilization for AI pipelines and ensure reliable, fault-tolerant execution of tasks.

• MLOps and SDK Development:

Experience Requirements:

• 6+ years of professional experience with modern React (ES7, React hooks, TypeScript)

• Strong technical communication skills and initiative

• Product engineering experience building full-stack web applications

• Ability to prototype and iterate quickly around sophisticated user workflows

• Obsession with front-end development best practices, including designing unit and end-to-end tests

Responsibilities:

• Design and develop key interfaces of Snorkel Flow, including interfaces for managing deployments, automatically analyzing data, and visualizing key metrics

• Work directly with world-class customers to help create intuitive interfaces for ML development

• Advocate and help define standards for the best practices in performance, product quality, security and user experience across the entire application

• Provide mentorship and foster a growth and collaborative mindset for all members of your team.

• Collaborate with cross functional teams on developing large scale products

Experience Requirements:

• 5+ years of professional full-stack experience developing performant, intuitive, and scalable web application architectures

• Experience developing and shipping enterprise software products for machine learning and data science applications

• Experience prototyping and iterating on user interfaces with modern React (ES7, React hooks, TypeScript)

• Expertise designing REST or GraphQL APIs for internal services and developers

• Ability to work in a fast-paced environment and strong technical communication skills

Responsibilities:

• Design and develop key interfaces of Snorkel Flow Studio, our novel workspace for programmatic labeling, data analysis, and visualization tools

• Prototype, optimize, and maintain scalable services to power new ML development workflows in Snorkel Flow

• Build proactively with empathy for our customers, constantly iterating to balance innovative research with practical solutions

• Engage with product managers, designers and ML experts to create a phenomenal user experience

• Collaborate with engineers to bring consistency and high standards to codebases, infrastructure, and processes

Benefits:

• comprehensive medical, dental, and vision plans

• yearly wellness stipend

• 401k program

• parental leave program

• workstation setup allowance

Education Requirements:

• B.S. degree in a quantitative field such as Computer Science, Engineering, or comparable degree/experience.

Experience Requirements:

• 2+ years experience working in a technical customer-facing role.

• Proficient in Python.

• Previous experience with cloud infrastructure providers such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.

• Outstanding organizational skills and ability to multitask in order to effectively prioritize and manage customer requests.

• Experience with common support software like Zendesk, Jira, and Slack.

Responsibilities:

• Partner with Snorkel Flow users to design, build, troubleshoot and deploy AI applications.

• Lead the resolution of critical technical issues, providing prompt and complete resolution to technical challenges and business issues.

• Perform live working sessions to analyze and address customer reported issues.

• Prioritize, document and coordinate customer issues with account assigned ML Success Managers and the Snorkel engineering team.

• Contribute to internal and external guides and docs, improving our self-service support materials.

Benefits:

• comprehensive medical, dental, and vision plans

• yearly wellness stipend

• 401k program

• parental leave program

• workstation setup allowance

Education Requirements:

• B.S. degree in Computer Science, Engineering, or comparable degree/experience.

Experience Requirements:

• 5+ years demonstrated ability working in a technical customer-facing role, e.g., technical account management, management consultant, pre-sales engineer or customer success.

• Demonstrable ability to understand customer objectives, design solutions and identify expansion opportunities that align to value drivers within the account.

• Experience running strategic projects or professional services engagements with a strong orientation towards teaching and enablement.

• Consistent record of achieving targets and goals with a history of driving adoption and identifying risks to renewals, cross-selling and upselling.

• Influential presence in front of customers, strong presentation and interpersonal skills and the desire to become the trusted advisor.

Responsibilities:

• Build and develop relationships with senior leaders in business and IT to ultimately stay aligned with business outcomes and secure partnership in their transformation initiatives.

• Identifying critical needs of our customers and mapping appropriate resources multi-functionally including product, engineering, data science, and co-founders.

• Lead the new customer onboarding program and work with core Snorkel AI technical teams to ensure that customer requests and critical issues are resolved in a timely fashion.

• Be a customer advocate as we establish our roadmap and influence features and improvements and actively support them through the product development pipeline via collaboration with the product team.

• Partner closely with Regional Sales Leaders, Account Executives, MLEs, Data Scientists, and other internal collaborators to identify new use cases and add-on opportunities for the account team

Education Requirements:

• B.S. degree in Business Administration, Engineering, or comparable degree/experience.

Experience Requirements:

• 4+ years experience working in a customer-facing role, e.g., management consultant, technical consultant, or technical project manager.

• 2+ years experience as a lead project manager, preferably in a technology or consulting environment.

• Influential presence in front of customers, strong presentation and communication skills and the ability to become a trusted advisor.

• Exceptional organizational skills and attention to detail, with the ability to manage multiple projects simultaneously.

• Action-oriented with the ability to cut through uncertainty and bring clarity to teams and projects.

Responsibilities:

• Serve as the primary point of contact for machine learning projects throughout the delivery lifecycle, leading meetings, providing regular updates, addressing concerns, and managing expectations.

• Develop and manage comprehensive project plans and other artifacts to ensure successful project delivery within scope and on schedule.

• Proactively identify and mitigate risks and issues, ensuring that potential roadblocks are addressed promptly and effectively.

• Demonstrate technical aptitude to understand the complexities of machine learning use cases and communicate effectively with both technical and non-technical stakeholders.

• Navigate ambiguity and uncertainty with ease, adapting quickly to change and identifying paths to resolve uncertainty.

Benefits:

• Competitive salary

• Meaningful equity

• Health Insurance

• Vision insurance

• Dental insurance for employees covered 100% by company, Unlimited PTO, Team lunches, Fully stocked kitchen, Caffeine, Team retreats twice a year, Stipend for learning and development

Responsibilities:

• Work closely with our customers to lead the technical execution of high-priority post-sales engagements and POCs.

• Apply your technical and analytical skills to close the last-mile gap in Enterprise AI adoption to ensure our customers are successful with Refuel across the lifecycle of AI applications.

• Leverage your expertise in LLMs and Refuel’s capabilities to build technical guides and onboarding material for users and advise them on the deployment, integration, and use of our platform.

• Diagnose and map customer challenges to Refuel’s product capabilities, while simultaneously anticipating new customer needs.

• Partner with our engineering team to identify, prioritize, and contribute to new feature development based on customer feedback.

Benefits:

• Competitive salary

• Meaningful equity

• Health Insurance

• Vision insurance

• Dental insurance for employees covered 100% by company, Unlimited PTO, Team lunches, Fully stocked kitchen, Caffeine, Team retreats twice a year, Stipend for learning and development

Education Requirements:

• Master’s degree in computer science, Computer Engineering, Robotics Engineering, Mathematics, foreign equivalent or closely related field.

Experience Requirements:

• One (1) year of experience in job offered, Systems Engineer, Robotics Software Engineer, Content Writer or closely related.

• Position requires six (6) months of experience in: C++ and Python programming languages, Linux, Computer vision algorithms, camera calibration and other vision sensors, 3D computational geometry algorithms and related mathematics, Embedded computer platforms, low level stack and interface with application layers, Machine learning, Deep learning for computer vision.

Responsibilities:

• Analyze user needs and design new application architectures to develop software solutions for new customer problems.

• Develop end-to-end machine learning pipelines based on product requirement documents.

• Build new applications software testing environments based on recent scholarly articles with a focus on delivery speed.

• Review team code and enforce engineering best practices during the review process.

• Mentor junior engineers on computer science and computer vision topics.

Responsibilities:

• Ensuring that the executives you support have what they need to seamlessly serve the expectations of our clients and internal commitments/goals through anticipating the needs of your executives and stakeholders, looking ahead and preventing problems from arising, and keeping up with the fast pace of our consulting team

• Flawlessly managing executive calendars by taking ownership of high-volume complex meeting/event scheduling, calendar conflict resolution, advising stakeholders on next steps/responses, and exercising discretion and judgement on escalation and/or delegation

• Impressing external stakeholders with professionalism and efficiency when representing Keystone and the executives you support through your email, phone or in-person interactions

• Coordinating end-to-end travel needs in a thoughtful and practical manner, including booking (and rebooking, unbooking) all travel, hotels, venues/restaurants, and ensuring trips are consistently smooth and seamless throughout while being mindful of directions, commuting time and ground transportation

• Supporting administrative aspects of leadership’s internal commitments: practice area activities, leadership committees, recruiting, processing timesheets and expenses on a timely basis, etc.

Benefits:

• competitive startup salaries

• early-stage stock

• unlimited vacation

• medical/dental benefits

• flexible work environment

Education Requirements:

• Holds a BS or MS degree in Computer Science or a closely related Engineering discipline.

Experience Requirements:

• 3+ years of hands-on professional experience in the design, development, and successful deployment of intricate software systems, maintaining a benchmark of excellence.

Responsibilities:

• Leadership in Product Development: Take charge of crafting and developing the critical components of Auditoria’s offerings, utilizing state-of-the-art technology within the AWS cloud ecosystem.

• Cross-Functional Collaboration: Engage in cohesive teamwork across various departments and time zones, ensuring the delivery of high-quality solutions aligned with our strategic roadmap.

• Business Partnership: Forge meaningful partnerships with business units to consistently deliver added value to our clientele.

• Cultural Advocacy: Act as a stalwart promoter of the principles and technological ethos that define Auditoria.

Responsibilities:

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Benefits:

• Health, vision, and dental benefits

• Unlimited vacation

• Frequent team meet-ups in different parts of the world

• Equity options

Experience Requirements:

• Senior level experience with Python

• Senior level experience with backend Cloud services and Dev Ops

• Experience with deploying and serving of ML modes for inference

• Infrastructure as Code (IAC), Distributed Service Deployment, CI/CD, Docker

• Understands how to identify and fix performance bottlenecks

Other Requirements:

• Audio and FFMpeg experience

• ML experience

• Nvidia Triton Server, Kubernetes

• NodeJS, Javascript, Typescript

• RDS, Elasticache, PostgreSQL, Redis

• AWS CDK, ExpressJS, FastifyJS, Prisma JS, React

• Github Actions, AWS, DataDog

Responsibilities:

• Working with research team to deploy and optimize new ML models and architectures

• Update our python logic to improve our processing performance to work at scale

• Improve our processing pipeline to improve speed and reliability

• Inspecting and debugging Python code

• Improving our current backend and infrastructure code built with Python and NodeJS/Typescript languages Utilize the AWS CDK to update and maintain our cloud infrastructure Assist with efforts to deploy new infrastructure for new services Dynamically create and maintain our systems architectures in AWS via code using AWS libraries (Python and Javascript) Assist with brainstorming, writing documentation, and creating diagrams for our new architectural changes Help to maintain and improve the security and reliability of our services and ensure good engineering practices in compliance with our security policies

Experience Requirements:

• Proven track record of working with large-scale LLM and Deep Learning systems

• Strong programming skills, with a preference for versatile individuals

Responsibilities:

• Design and implement large-scale data pipelines that feed billions of high-quality tokens into LLMs

• Scale and distribute LLM training infrastructure to maximize efficiency

• Optimize evaluation pipelines to ensure accuracy and reliability

• Enhance inference infrastructure to reduce serving cost and latency while maintaining 99.9% uptime

• Continuously improve LLM performance and accuracy

Benefits:

• Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA

• Competitive parental leave policy

• Hybrid culture

• Company stock options, plus a 401k plan with employer contributions

• Learning and development stipend and generous PTO

Benefits:

• Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA

• Competitive parental leave policy

• Hybrid culture

• Company stock options, plus a 401k plan with employer contributions

• Learning and development stipend and generous PTO

Benefits:

• Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA

• Competitive parental leave policy

• Hybrid culture

• Company stock options, plus a 401k plan with employer contributions

• Learning and development stipend and generous PTO