Education Requirements:

• Pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Responsibilities:

• Assist with developing and maintaining scalable, efficient AI tools and infrastructure.

• Collaborate with engineering and research teams to understand project requirements and support agent functionality.

Education Requirements:

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

Experience Requirements:

• 2-5+ years of experience in backend development, focusing on infrastructure, user data handling, and supporting high concurrent user access.

Responsibilities:

• Design, develop, and maintain infrastructure that handles user data properly and supports high concurrent user access.

• Work with cross-functional teams to understand requirements for game interactions and provide system and infrastructure solutions that enhance user experience.

• Optimize system architecture for high performance and scalability, employing best practices in caching, load balancing, and data management.

• Monitor system performance, identify bottlenecks, and resolve infrastructure issues promptly.

Benefits:

• Free choice in technology

• Relocation assistance

• A competitive base salary

• Regenerate yourself

• Join the best

Benefits:

• Free choice in technology

• Relocation assistance

• A competitive base salary

• Regenerate yourself

• Join the best

Responsibilities:

• You will develop solutions to challenging machine learning problems by exploring datasets, training models, and delivering great recommendations to our customers.

• You will contribute to directly impacting not only the business success of our customers but also millions of people around the world in their discovery of items better tailored to their tastes.

• Each customer, each dataset, and each model offers a unique learning opportunity to improve our tech stack, allowing us to deliver the best recommendations with the least effort.

Experience Requirements:

• Senior

Benefits:

• Medical

• Dental

• Vision

• Professional development

• Employee paid life & disability life insurance policy. An insurance policy pays a sum of money either on the death of an insured person or after a set period.. Disability insurance replaces a portion of your income if you can't work because of illness or injury. disability insurance - provides a monthly income if you become disabled as a result of illness or accident. Paid time off - is paid time away from work that employees can use for any reason - vacation, illness, or appointments.Paid sick leave - is paid time off from work that workers can use to stay home to recover from an illness or to care for a sick family member.Paid vacation - is paid time off from work that workers can use for any purpose, such as vacation, rest, or relaxation. Paid holidays - are paid days off from work that workers get for holidays, such as New Year's Day, Memorial Day, and Christmas. Parental leave - is paid or unpaid time off from work to care for a new child. Bereavement leave - is paid or unpaid time off from work to grieve the death of a loved one. Jury duty leave - is paid or unpaid time off from work to serve on a jury. Military leave - is paid or unpaid time off from work for military service. Voting leave - is paid or unpaid time off from work to vote.

Responsibilities:

• Ensure that robotic systems operate successfully in customer use cases via teleoperation with a focus on data gathering and data generation.

• Run robotic systems continuously throughout the day, identifying bugs and technical issues and generating collected data for ongoing improvements.

• Operate teleoperation equipment as needed to guide the robot through specific behaviors.

• Follow proper equipment and robot maintenance procedures, including setup and operation.

Experience Requirements:

• 2+ years of closing sales experience at a technology company and experience closing 6-7 figure enterprise contracts.

• Experience managing a consultative sales cycle with executives at Fortune 50 companies.

Responsibilities:

• Develop a Sales Pipeline: Identify key target accounts interested in generative AI solutions and create customized outreach strategies to build strong relationships.

• Strategically Map Stakeholders: Identify decision-makers in AI adoption and devise a plan to secure their buy-in for generative AI services.

• Lead and Manage the Sales Cycle: Tailor pitches and AI product demos to address the specific needs and challenges of each client.

• Ensure Client Satisfaction: Collaborate with the Customer Success team during AI pilot phases to ensure a seamless transition to long-term AI service contracts.

• Expand Client Accounts: Coordinate post-sales efforts to ensure successful AI deployment, enhance customer experience, and manage account growth and renewals.

Experience Requirements:

• 1-2 years of sales experience

Responsibilities:

• Manage your own sales and meetings pipelines in a specified territory

• Discover new sales leads based on industry & account research (Linkedin Sales Navigator, ZoomInfo, internet research, etc)

• Create strategic outreach campaigns (calls, emails, Linkedin, social selling, etc)

• Qualify prospects/accounts through email, phone, Linkedin, etc

• Manage prospects, accounts, and opportunities in Salesforce

Education Requirements:

• Bachelor’s Degree in Engineering, Computer Science, or a technical field.

Experience Requirements:

• 3+ years of working experience in a technical role interfacing with technical and non-technical folks.

Responsibilities:

• Build, deploy, and maintain Python automation scripts and other tools to streamline the data annotation process, automate repetitive tasks, and reduce manual effort.

• Identify bottlenecks in the data labeling pipeline and implement solutions to enhance throughput, accuracy, and scalability of labeling operations.

• Work closely with the Project Management team to ensure that data labeling meets accuracy standards and troubleshoot any issues related to data quality.

• Plan quality assurance workflows to use GenAI and open-source models to find data anomalies.

• Set up monitoring tools to track the performance of data annotation operations, reporting key metrics and areas for improvement to leadership.

Experience Requirements:

• 3+ years of professional full-stack development experience.

Responsibilities:

• Design and develop user-facing applications that enhance AI interactions and system configurations.

• Build integrations with third-party platforms (e.g., CMS, CRM).

• Contribute to cross-team technical discussions on architecture, UI/UX, back-end development, and integrations.

• Engage directly with customers to demonstrate Kleio’s capabilities and provide technical support.

• Help grow a high-performing, diverse engineering team.

Experience Requirements:

• 3+ years of experience in enterprise sales, preferably in complex, technical SaaS products.

Responsibilities:

• Research and identify high-potential enterprise prospects.

• Drive pipeline growth through targeted outbound efforts, including cold calls, emails, and social media outreach.

• Leverage warm introductions to establish connections with key decision-makers.

• Work with marketing to assess inbound leads and explore upsell opportunities.

• Guide potential customers through live product trials, ensuring they experience the full value of our AI solution.

Experience Requirements:

• 5+ years of professional software development experience; experience with typed languages (TypeScript, Python + Pydantic, Java, etc.) preferred.

Responsibilities:

• Design and implement robust software engineering solutions and frameworks to solve our customers’ needs.

• Implement and enhance engineering best practices company-wide.

• Work with data scientists to research and implement the latest approaches to efficiently leverage the latest AI models and techniques.

• Lead cross-team technical design discussions on application architecture, UI components, UX, back-end and third-party integration, and testing.

Benefits:

• Extensive / Generous health, dental, and vision insurance.

• Highly competitive paid parental leave and support system.

• Ownership in the business through an Equity Incentive Plan.

• Generous paid time off and / or flexible work arrangements.

• Daily meals in-office, vibrant company events, team-building.

Education Requirements:

• Bachelor's degree in Computer Science or a related field.

Experience Requirements:

• Minimum 5+ years of experience in software engineering, with a focus on infrastructure design.

• Proven experience in designing complex systems and strong software engineering skills.

• Strong understanding and experience with distributed systems like Apache Spark, Ray etc. and infrastructure design.

• Proficiency in containerization technologies like Docker and orchestration platforms like Kubernetes.

• Demonstrated expertise in DevOps practices, with a focus on ML.

Responsibilities:

• Build and maintain cloud infra and distributed systems for MLOps

• Build out internal training framework to make research with large distributed models easy and fun

• Design and develop systems to support Voxel's ML development, with a focus on computer vision applications.

• Provide technical guidance, mentorship, and project management support.

• Build distributed systems and pipelines for data management, ensuring scalability, reliability, and performance.

Benefits:

• Extensive / Generous health, dental, and vision insurance.

• Highly competitive paid parental leave and support system.

• Ownership in the business through an Equity Incentive Plan.

• Generous paid time off and / or flexible work arrangements.

• Daily meals in-office, vibrant company events, team-building.

Education Requirements:

• Bachelor's degree in Computer Science or a related field

Experience Requirements:

• 8+ years of experience developing data-intensive backend APIs and service at scale

• 3+ years of experience leading cross-functional engineering projects

• Proven track record of customer-centric technical leadership and delivering customer value

• Solid engineering and coding skills (preferably Go, C++, Java, or another typed/compiled language)

• Production experience with cloud platforms (AWS, GCP) and cloud native architecture

Responsibilities:

• Collaborate with engineering and non-engineering teams across the company to better understand our users and how our technology can meet their evolving needs

• Lead engineering projects from scoping to implementation to maintenance

• Research, propose, and design backend services and APIs based on the needs of customers and internal systems

• Implement backend services and APIs (Go, [Node.js](http://Node.js), Python, gRPC/ConnectRPC, AWS)

Benefits:

• Extensive / Generous health, dental, and vision insurance.

• Highly competitive paid parental leave and support system.

• Ownership in the business through an Equity Incentive Plan.

• Generous paid time off and / or flexible work arrangements.

• Daily meals in-office, vibrant company events, team-building.

Education Requirements:

• Bachelor's Degree in Computer Science, computer Engineering, or equivalent experience.

Experience Requirements:

• 5+ years of experience working in Cloud Infrastructure, DevOps.

• Proficiency with the Kubernetes ecosystem

• Experience with AWS services including IAM, S3, RDS, EKS.

• Experience with IaC such as Terraform.

• Experience building and scaling high availability distributed systems.

Responsibilities:

• Build and maintain cloud infra and distributed systems for data processing, MLOps and other services.

• Develop and implement DevOps practices to deploy applications in AWS EKS.

• Build infrastructure configuration-as-code modules using Terraform.

• Design and develop architectures for running AI on realtime video at scale.

• Implement security best practices for the software engineering organization.

Benefits:

• Extensive / Generous health, dental, and vision insurance.

• Highly competitive paid parental leave and support system.

• Ownership in the business through an Equity Incentive Plan.

• Generous paid time off and / or flexible work arrangements.

• Daily meals in-office, vibrant company events, team-building.

Experience Requirements:

• 5+ years of experience with REST, API design patterns, scalable containerized systems, and microservices.

• Experience building large distributed systems and handling scalability, with expertise in Flink, Kafka, or Kinesis for stream processing.

• Demonstrated experience in designing, architecting, and delivering large-scale distributed systems, from concept to production.

• Hands-on experience with Terraform and cloud infrastructure (AWS, Azure, or GCP).

Responsibilities:

• You will contribute to the development, scaling, and securing of large distributed systems, data processing pipelines, access control systems, and Cloud APIs

• Solve unique technical challenges

• Develop, test, and deploy services within the Voxel ecosystem

• Influence the technical direction of the teamUphold high code quality and architectural design standards

• Design scalable and resilient systems and services