Our story:

The widespread adoption of intelligent technologies powered by automation, AI, ML, and knowledge graphs is accelerating. As these technologies become increasingly accessible, our aim is to make their capabilities empowering, trustworthy, and useful to real people in the real world. 

Adapter was founded in 2022 by Adam Ghetti and Dr. David Bader, with the support of some of the most esteemed Tier 1 Silicon Valley firms and individual entrepreneurs. We are a small but dedicated team, currently working towards solving a significant problem. We recognize the importance of being early movers in this field, and have assembled a well-supported and passionate team to do so.

What we are looking for:

We are looking for a Machine Learning Engineer who will play a critical role in fine-tuning transformer-based models using automation pipelines and implementing real-time fine-tuning pipelines in production environments.

You will partner with a brilliant team of designers, engineers, and innovators and will be at the cutting edge of some of the most interesting consumer use-cases for intelligent technologies. 

We have established a culture that promotes both remote work and in-person collaboration, with team members currently dispersed between Austin, NYC, and the Bay Area. We believe that the integration of these two elements allows for maximum productivity and creativity as we strive to achieve our goal.

Responsibilities: 

• Use the latest cutting edge technologies such as LLMS, multimodal models  to handle complex problems.
• Work with large datasets, perform data preprocessing, and engineer relevant features to enhance model performance.
• Build frameworks that allow us to iterate and evaluate model versions (ranking, accuracy, latency).
• Deploy Models at Scale: Collaborate with software engineers to deploy machine learning models into production, ensuring seamless integration with existing systems.
• Monitoring and Maintenance: Implement monitoring solutions to track model performance in real-time and perform regular maintenance and updates as needed.
• Collaboration: Work closely with cross-functional teams, including data scientists, software developers, and business analysts, to understand requirements and deliver impactful solutions.
• Research and Innovation: Stay abreast of the latest advancements in machine learning and contribute to the research and development of innovative solutions.

Qualifications: 

• Experience with optimizing models for size, cost, and latency is a plus.
• Proficient in designing, developing, and operating fine-tuning pipelines in production environments
• Experience with large-scale data processing and distributed systems
• Strong programming skills in Python, and proficiency in machine learning libraries such as PyTorch, Tensorflow etc.

Work Experience: 

• 3+ years of experience in similar role, focus on developing and deploying ML models in production environments 
• Startup experience is a plus

Benefits: 

• Early stage equity
• Comprehensive health insurance
• Generous PTO
• Remote and in person cultures that promote collaboration

Our story:

The widespread adoption of intelligent technologies powered by automation, AI, ML, and knowledge graphs is accelerating. As these technologies become increasingly accessible, our aim is to make their capabilities empowering, trustworthy, and useful to real people in the real world. 

Adapter was founded in 2022 by Adam Ghetti and Dr. David Bader, with the support of some of the most esteemed Tier 1 Silicon Valley firms and individual entrepreneurs. We are a small but dedicated team, currently working towards solving a significant problem. We recognize the importance of being early movers in this field, and have assembled a well-supported and passionate team to do so.

What we are looking for:

We are seeking a Test Automation Engineer who will play a key role in the development of a product, which at its core aims to empower individuals through thoughtful collaboration with intelligent technology. 

You will partner with a brilliant team of engineers and innovators and will be at the cutting edge of some of the most interesting consumer use-cases for intelligent technologies. 

We have established a culture that promotes both remote work and in-person collaboration, with team members currently dispersed around the country with hubs in Austin, NYC, and the Bay Area. We believe that the integration of these two elements allows for maximum productivity and creativity as we strive to achieve our goal.

Responsibilities: 

• Plan and design robust and scalable automation infrastructure solutions to support the organization's business needs.
• Develop and implement automation strategies and frameworks to integrate validation tests and production metrics for non-deterministic processes
• Design, build, and maintain automated test frameworks for multiple platforms (iOS, Android and web)
• Design canary strategy for early detection of  production outages
• Collaborate with other members of the engineering, product managers, and other stakeholders to understand requirements and design effective test plans.
• Integrate test automation into the CI/CD pipeline to support continuous testing and delivery.
• Analyze test results, identify defects, and work with development teams to ensure timely resolution.
• Evaluate and recommend new tools and technologies to improve testing efficiency and effectiveness.
• Ensure test environments and test data are properly managed and maintained.
• Stay current with industry trends and best practices in test automation and quality assurance.
• Build and maintain frameworks to enforce that engineering best practices are implemented in production environments

Qualifications: 

• Bachelor's or Master's degree in Computer Science, Information Technology, or related field (or comparable work experience)
• Proven experience with automation tools and frameworks (e.g., Selenium, Appium, JUnit, PyTest, TestNG).
• Strong programming skills in languages such as Java, Python, or Go.
• Strong networking knowledge
• Familiarity with cloud platforms (e.g.,GCP, AWS, Azure) and infrastructure as code.
• Scripting skills (e.g., Bash) for automation tasks.
• Strong communication skills are a requirement

Desired:

• Experience with ML/AI projects
• Experience with knowledge graphs

Work Experience:

• 5+ years of experience as an Automation  Engineer
• startup experience is a plus

Benefits: 

• Early stage equity
• Comprehensive health insurance
• Generous PTO
• Remote and in person cultures that promote collaboration

Our story:

The widespread adoption of intelligent technologies powered by automation, AI, ML, and knowledge graphs is accelerating. As these technologies become increasingly accessible, our aim is to make their capabilities empowering, trustworthy, and useful to real people in the real world. 

Adapter was founded in 2022 by Adam Ghetti and Dr. David Bader, with the support of some of the most esteemed Tier 1 Silicon Valley firms and individual entrepreneurs. We are a small but dedicated team, currently working towards solving a significant problem. We recognize the importance of being early movers in this field, and have assembled a well-supported and passionate team to do so.

What we are looking for:

We are seeking an engineer experienced in designing and implementing robust systems to ingest diverse, complex data types into large-scale knowledge graphs, who will play a key role in shaping and creating the product, which at its core aims to empower individuals through thoughtful collaboration with intelligent technology. You will partner with a brilliant team of engineers and innovators and will be at the cutting edge of some of the most interesting consumer use-cases for intelligent technologies.

We have established a culture that promotes both remote work and in-person collaboration, with team members currently dispersed around the country with hubs in Austin, NYC, and the Bay Area. We believe that the integration of these two elements allows for maximum productivity and creativity as we strive to achieve our goal.

Responsibilities: 

• Design and develop the ingestion, processing and application of algorithms for user data to build models of user behavior and preferences for large knowledge graphs
• Design efficient implementations utilizing graph query languages to drive valuable and actionable insights and data retrieval
• Collaborate with a team of designers, researchers and other stakeholders to implement the knowledge graph components required to deliver product features
• Identify and address performance bottlenecks, security concerns, and other technical challenges
• Stay updated on emerging technologies and industry trends in usage of AI/ML integration with knowledge graphs

Qualifications: 

• Proven experience with knowledge graphs and algorithms 
• Strong experience in using knowledge graphs for user modeling and data ingestion from disparate data sources
• Implementation experience with databases technologies such as PostgreSQL
• Experience with graph query languages like GraphQL.
• Strong communication skills; must be able to effectively and clearly communicate vision and objectives with the team and stakeholders.
• Strategic thinker with the demonstrated ability to align design goals with key objectives and priorities.

Desired:

• Experience building and deploying ML models from end to end
• Experience working with data science and ML teams in delivering products to market

Work Experience: 

• 5+ years of experience with systems and graph algorithms.
• Startup experience is a plus.

Benefits: 

• Early stage equity
• Comprehensive health insurance.
• Generous PTO.
• Remote and in-person cultures that promote collaboration.

Our story:

The widespread adoption of intelligent technologies powered by automation, AI, ML, and knowledge graphs is accelerating. As these technologies become increasingly accessible, our aim is to make their capabilities empowering, trustworthy, and useful to real people in the real world. 

Adapter was founded in 2022 by Adam Ghetti and Dr. David Bader, with the support of some of the most esteemed Tier 1 Silicon Valley firms and individual entrepreneurs. We are a small but dedicated team, currently working towards solving a significant problem. We recognize the importance of being early movers in this field, and have assembled a well-supported and passionate team to do so.

What we are looking for:

We are seeking a full-stack engineer who will play a key role in shaping and creating the  product, which at its core aims to empower individuals through thoughtful collaboration with intelligent technology. You will partner with a brilliant team of engineers and innovators and will be at the cutting edge of some of the most interesting consumer use-cases for intelligent technologies. 

We have established a culture that promotes both remote work and in-person collaboration, with team members currently dispersed around the country with hubs in Austin, NYC, and the Bay Area. We believe that integrating these two elements allows for maximum productivity and creativity as we strive to achieve our goal.

Responsibilities: 

• Architect, Implement and Maintain critical components of user facing applications
• Design and build internal tooling to accelerate velocity of existing and new initiatives
• Improve UX through implementation of highly secure and optimized applicationsCollaborate with a team of designers, researchers and other stakeholders to implement responsive and visually appealing user interfaces.Stay updated on emerging technologies and industry trends to continually improve our technology stack.

Qualifications:

• Proven expertise in full-stack engineering with a profound passion for creating and maintaining complex consumer-facing products from 0 to 1 
• Proficiency in modern front-end technologies and frameworks such as React, Angular, or Vue.js and in server-side languages such as Python, Go and Rust
• Experience in designing microservice architecture and API models
• Experience leading team initiatives. 
• Demonstrated ability to think strategically and to align design goals with key objectives and priorities.

Desired:

• Experience with GraphQL
• Strong experience with cloud services and platforms, such as AWS, Azure or Google Cloud. 
• Experience with Kubernetes
• Experience building training and inference pipelines for supporting ML models

Work Experience:

• 5+ years of experience as a full-stack engineer 
• Startup experience is a plus

Benefits: 

• Early stage equity
• Comprehensive health insurance
• Generous PTO
• Remote and in person cultures that promote collaboration