AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
GPU & Compiler Software Engineer
Symbolica is building the new foundation for enterprise-scale AI — controllable, interpretable, reliable, and secure. They are redesigning how machines learn from the ground up.
Benefits:
competitive compensation
attractive equity package
Other Requirements:
Must be available to work onsite at our brand-new London office
Responsibilities:
Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.
Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.
Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.
Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.
Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.
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ML Research Engineer (relocation to London)
Symbolica is building the new foundation for enterprise-scale AI — controllable, interpretable, reliable, and secure. They are redesigning how machines learn from the ground up.
Benefits:
Competitive compensation
including an early-stage startup equity package
Education Requirements:
Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, or a related field (PhD is a plus).
Other Requirements:
Must be available to relocate and work onsite at our brand-new London office
Responsibilities:
Conducting research into symbolic and categorical reasoning models, bridging abstract mathematics with machine learning.
Translating complex theoretical insights into scalable, efficient coding implementations.
Developing and optimizing machine learning pipelines for structured reasoning tasks, with a focus on interpretability and performance.
Building robust experimentation platforms for large-scale training and evaluation of models.
Collaborating with researchers to explore novel architectures and methodologies in logical reasoning and structured data.
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ML Research Engineer (relocation to London)
Symbolica is building the new foundation for enterprise-scale AI — controllable, interpretable, reliable, and secure. They are redesigning how machines learn from the ground up.
Benefits:
Competitive compensation
including an early-stage startup equity package
Education Requirements:
Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, or a related field (PhD is a plus).
Other Requirements:
Must be available to relocate and work onsite at our brand-new London office
Responsibilities:
Conducting research into symbolic and categorical reasoning models, bridging abstract mathematics with machine learning.
Translating complex theoretical insights into scalable, efficient coding implementations.
Developing and optimizing machine learning pipelines for structured reasoning tasks, with a focus on interpretability and performance.
Building robust experimentation platforms for large-scale training and evaluation of models.
Collaborating with researchers to explore novel architectures and methodologies in logical reasoning and structured data.
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ML Research Engineer
Symbolica is building the new foundation for enterprise-scale AI — controllable, interpretable, reliable, and secure. They are redesigning how machines learn from the ground up.
Benefits:
competitive compensation
attractive equity package
Education Requirements:
Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, or a related field (PhD is a plus).
Other Requirements:
Must be available to work onsite at our brand-new London office
Responsibilities:
Conducting research into symbolic and categorical reasoning models, bridging abstract mathematics with machine learning.
Translating complex theoretical insights into scalable, efficient coding implementations.
Developing and optimizing machine learning pipelines for structured reasoning tasks, with a focus on interpretability and performance.
Building robust experimentation platforms for large-scale training and evaluation of models.
Collaborating with researchers to explore novel architectures and methodologies in logical reasoning and structured data.
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CTO
Koko is a nonprofit providing free, evidence-based mental health interventions for youth through digital platforms. They detect negative signals online and redirect to helplines and support resources.
Benefits:
Comprehensive health, dental, and vision insurance
Flexible hours
fully remote
international offsites
no-meeting Fridays
Experience Requirements:
Proven track record of independently building and shipping full-stack applications that solve real user needs, with a focus on product-market fit and user outcomes.
Strong foundation in data science and machine learning, with experience using data to drive product decisions, design and analyze A/B tests, and measure impact.
Deep understanding of modern AI capabilities and limitations, balanced with pragmatic product sense - you know when AI adds genuine value versus when simpler solutions would better serve users.
Experience navigating complex ethical considerations in technology, particularly around safety, privacy, and responsible AI deployment.
Demonstrated ability to move quickly and innovate while maintaining rigorous standards for safety and efficacy, especially when serving vulnerable populations
Responsibilities:
Build and evolve our platform architecture, creating interfaces and systems that effectively combine AI capabilities with intuitive user experiences.
Design and implement robust experimentation frameworks to continuously measure and improve the effectiveness of our services.
Drive product decisions through data analysis, translating insights into features that measurably improve mental health outcomes.
Ship and iterate on production features across our platform ecosystem (TikTok, Discord, etc.), directly impacting millions of young people.
Advance the field of AI and digital mental health by contributing to peer-reviewed research and open-source initiatives, sharing insights that can help the broader community.
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Senior Front End Developer
Automated video redaction software to blur faces and other PII. Transform compliance timescales with unrivalled, automated redaction for video and audio.
Education Requirements:
A background in Computer Science or relevant experience.
Experience Requirements:
Highly proficient in React.js, Typescript, HTML5 and CSS3.
Experience with UI testing frameworks and test-driven development.
Experience owning and maintaining complex application logic.
Experience using RESTful APIs and integrating with backend services.
Other Requirements:
Right to work in the UK.
Responsibilities:
Build Pimloc's React.js based video and audio editing software.
Perform a critical role in bringing Secure Redact's powerful AI capabilities to users.
Design and implementation of new features and upgrade existing UI design and APIs.
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Data Engineer AI-based Recycling (m/f/d)
WeSort.AI provides AI-powered solutions for granular analysis and sorting of waste objects, enabling efficient and cleaner recycling.
Benefits:
Working in a young and interdisciplinary start-up team
Lots of responsibility and creative freedom right from the start
clear career plan with defined goals
Exploring the future fields of “artificial intelligence” and “circular economy”
Active contribution to climate protection & circular economy Active involvement in decisions Team spirit and a family atmosphere
Education Requirements:
Master's degree or PhD in computer science, data science, artificial intelligence or a related field
Experience Requirements:
5 years of proven experience in the development of complex software projects
Experience in building and maintaining data pipelines and cloud training environments, preferably with Microsoft Azure Experienced in the independent development of software projects
Relevant professional experience in creating datasets
Responsibilities:
Design and construction of data pipelines to automate the collection, processing, and provisioning of image and video data
Implementation of data extraction methods from diverse sources such as sensors, cameras, and online databases
Development of algorithms and routines for data cleaning and preprocessing, including normalization, scaling, noise reduction, contrast adjustment, and geometric transformations to optimize image quality
Application of specific image preprocessing techniques, such as histogram equalization, sharpening, rectification, and color space conversion prior to data transmission to maximize visual data quality and enhance analytical accuracy Annotation and labeling of image and video data with precise tags to support object detection and segmentation models Creation and management of specialized datasets for validation and testing to assess model generalization and performance Automation of data cleaning and annotation processes using modern scripting languages to improve efficiency and accuracy Implementation of data transfer and storage processes for efficient handling of large datasets, including the application of image compression techniques to minimize storage requirements without compromising quality Monitoring and optimization of data pipeline performance to prevent bottlenecks and increase data processing speed Development of error-handling strategies and monitoring of data quality to ensure data integrity and system reliability Documentation of data processing workflows, methods, and tools to ensure transparency and traceability for all stakeholders
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Data Scientist / AI Engineer AI-based Recycling (m/f/d)
WeSort.AI provides AI-powered solutions for granular analysis and sorting of waste objects, enabling efficient and cleaner recycling.
Benefits:
Working in a young and interdisciplinary start-up team
Lots of responsibility and creative freedom right from the start
clear career plan with defined goals
Exploring the future fields of “artificial intelligence” and “circular economy”
Active contribution to climate protection & circular economy Active involvement in decisions Team spirit and a family atmosphere
Education Requirements:
Master's degree or PhD in computer science, data science, artificial intelligence, mechanical engineering or a related field
Experience Requirements:
5 years of proven experience in the development of complex software projects
At least 3 years of professional experience in the development and shipment of AI algorithms in the field of computer vision Experienced in the independent development of software projects
Several years of professional experience in the development and implementation of AI models and algorithms.
Responsibilities:
Holistic and independent development and shipment of AI models to the customer using our existing data pipeline as well as improvement and extension of existing models Data acquisition, support in annotation processes Further development of data and training pipelines as well as our data workspace Design of AI algorithms (architectures, training procedures, etc.), hyperparameter optimization as well as measurement and implementation of performance-enhancing measures Software-side implementation of AI algorithms in Python with PyTorch Development of interfaces and integration of algorithms in real-time applications Management and maintenance of cloud training environment and data pipeline (Microsoft Azure) Technology stack: Python, PyTorch, PyTorch-Lightning, Azure-ML, Docker, Jupyter notebooks, etc. Technology scouting and active participation in technology decisions Work in autonomous Scrum teams in flat hierarchies with plenty of room to help shape things Collaboration in agile processes with colleagues as well as national and international partners and customers. Willingness to travel to customers and desire to develop the team on site
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Electrical Design Engineer (m/f/d) automation technology for AI-based recycling plants
WeSort.AI provides AI-powered solutions for granular analysis and sorting of waste objects, enabling efficient and cleaner recycling.
Benefits:
Working in a young and interdisciplinary start-up team
Lots of responsibility and creative freedom right from the start
Exploring the future fields of “artificial intelligence” and “circular economy”
Active contribution to climate protection & circular economy
Active involvement in decisions Team spirit and a family atmosphere
Education Requirements:
Completed studies or technician training in a relevant field (e.g. electrical engineering, mechatronics)
Experience Requirements:
Completed studies in electrical engineering, mechatronics or robotics Min. 3 years of relevant professional experience
2 years of relevant professional experience
Responsibilities:
Creation and adaptation of electrotechnical circuit diagrams in E-Plan
PLC programming with Beckhoff
Creation and maintenance of parts lists
Selection, testing and use of electronic components and sensors (cameras, X-ray technology, pneumatics, robots)
Creation of installation and test instructions and acceptance protocols Technical coordination with suppliers and customers Conception & design of new AI-based sorting systems in coordination with mechanical design Prototype construction for new AI-based recycling machines Commissioning of new systems
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Operation & Administration Manager (m/f/d)
WeSort.AI provides AI-powered solutions for granular analysis and sorting of waste objects, enabling efficient and cleaner recycling.
Benefits:
Working in a young and interdisciplinary start-up team
Lots of responsibility and creative freedom right from the start
clear career plan with defined goals
Exploring the future fields of “artificial intelligence” and “circular economy”
Active contribution to climate protection & circular economy Active involvement in decisions Team spirit and a family atmosphere
Education Requirements:
Completed commercial training or comparable qualification
Experience Requirements:
Experience in a comparable role, e.g. as Executive Assistant, Chief of Staff, Procurement Manager or Grant Manager
Responsibilities:
Administrative & operational support for the management in day-to-day business
Purchasing and procurement management: Research, selection, ordering and processing of products and services, as well as negotiations with suppliers
Funding and application management: identification of relevant funding programs, application and follow-up Preparation of pitch decks, data rooms and relevant documents for financing rounds Process optimization: Support in improving internal processes and administrative structures Data & document management: Management of important documents, contracts and reports to support management Independent decision-making on administrative and operational issues
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People & Culture Manager (m/f/d) with a focus on Recruiting
WeSort.AI provides AI-powered solutions for granular analysis and sorting of waste objects, enabling efficient and cleaner recycling.
Benefits:
Working in a young and interdisciplinary start-up team
Lots of responsibility and creative freedom right from the start
Exploring the future fields of “artificial intelligence” and “circular economy”
Active contribution to climate protection & circular economy
Active involvement in decisions Team spirit and a family atmosphere
Education Requirements:
Completed studies with a focus on personnel management, psychology, economics or a comparable education
Completed commercial training or comparable qualification
Experience Requirements:
Several years of (generalist) experience in HR including recruiting, ideally in a dynamic environment
Several years of professional experience in HR
Responsibilities:
Management of personnel processes including job advertisements
Independent management of the entire recruiting process (from needs assessment to onboarding)
Development and implementation of innovative recruiting strategies to attract qualified talent
Active sourcing and direct approach via various channels (e.g. LinkedIn)
Further development of the employer branding strategy and implementation of measures to strengthen the employer brand Optimization of recruiting processes and tools Conducting interviews and supporting the selection process Responsibility for day-to-day HR operations (administrative activities, e.g. drawing up employment contracts, references, processing employee inquiries, pre-entry for payroll, etc.) Managing HR projects (e.g. performance management, introduction of HR software, etc.) Organization of team events
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AI Test Engineer
Prisma AI is a global pioneer in visual artificial intelligence, specializing in computer vision solutions and real-time video monitoring through its proprietary Gryphos platform.
Education Requirements:
Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related fields.
Experience Requirements:
2.5 to 4 years
2 years of experience in computer vision and/or deep learning or AI testing or Quality assurance.
Other Requirements:
ISTQB certified Tester.
ISTQB Certified AI Tester.
Responsibilities:
Collaborate with the AI test team to plan and execute test plans, test cases, and test scenarios specifically tailored for AI systems.
Implement quality assurance standards within the context of AI testing to ensure the accuracy, reliability, and performance of AI solutions.
Design and implement benchmarking tests to evaluate the performance of AI systems against industry standards and competitors.
Develop, execute, maintain, and enhance Automated Test Frameworks and Scripts dedicated to testing AI components, leveraging relevant AI tools and Deep learning frameworks.
Accurately report and track defects and issues related to AI testing, including writing detailed benchmarking /bugs reports and verifying fixes in collaboration with the development team.
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AI Robotics Research Engineer
Nimble provides fully autonomous fulfillment solutions using AI-powered robots, offering fast, scalable, and sustainable 3PL services.
Benefits:
Paid Time Off
Health Insurance
Paid Parental Leave
Commuter Benefits
Referral Bonus Get a cash bonus for any friend or colleagues that you refer to us that we end up hiring. 401k Contribute towards a 401k for retirement planning. Equity
Education Requirements:
M.S. or P.h.D in Robotics or Computer Science
Experience Requirements:
Experience training deep learning models for robotic manipulation or mobility
Experience working with real robotic hardware
Experience training models in simulation and developing simulation environments
Experience collecting custom datasets
Experience training on open-source datasets
Other Requirements:
Must be able to work extended hours and weekends as needed
Must be able to work in San Francisco
Responsibilities:
Develop and train diffusion policies, VLMs, multi-agent deep RL policies and more
Develop data collection pipelines
Design data annotation and labeling
Support implementation of models into production systems
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Senior Mechanical Engineer
Nimble provides fully autonomous fulfillment solutions using AI-powered robots, offering fast, scalable, and sustainable 3PL services.
Benefits:
Flexible PTO
Health Insurance
Paid Parental Leave
Commuter Benefits
Gym Reimbursement/Wellness Program/Fitness Reimbursement/Health and Wellness Program Reimbursement/Gym Membership Benefit/Wellness Benefit/Exercise Benefit/Fitness Benefit/Wellbeing Benefit/Wellbeing Program/Fitness Program/Health Program/Health and Fitness Program/Mental Health Program/Mental Wellness Program/Health and Wellness Initiatives/Wellness Initiatives/Health Initiatives/Fitness Initiatives/Wellbeing Initiatives/Health and Wellbeing Program/Fitness and Wellness Program/Health and Fitness Initiatives/Wellness and Fitness Initiatives/Health and Wellbeing Initiatives/Fitness and Wellness Initiatives/Health and Wellness Benefits/Wellness and Fitness Benefits/Health and Wellbeing Benefits/Fitness and Wellness Benefits/Health and Wellness Perks/Wellness and Fitness Perks/Health and Wellbeing Perks/Fitness and Wellness Perks/Health and Wellness Stipend/Wellness and Fitness Stipend/Health and Wellbeing Stipend/Fitness and Wellness Stipend/Health and Wellness Allowance/Wellness and 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Program/Wellness and Fitness Discount Program/Health and Wellbeing Discount Program/Fitness and Wellness Discount Program/Health and Wellness Voucher Program/Wellness and Fitness Voucher Program/Health and Wellbeing Voucher Program/Fitness and Wellness Voucher Program/Health and Wellness Subsidy Program/Wellness and Fitness Subsidy Program/Health and Wellbeing Subsidy Program/Fitness and Wellness Subsidy Program/Health and Wellness Incentive Program/Wellness and Fitness Incentive Program/Health and Wellbeing Incentive Program/Fitness and Wellness Incentive Program/Health and Wellness Reward Program/Wellness and Fitness Reward Program/Health and Wellbeing Reward Program/Fitness and Wellness Reward Program/Health and Wellness Rebate Program/Wellness and Fitness Rebate Program/Health and Wellbeing Rebate Program/Fitness and Wellness Rebate Program/Health and Wellness Credit Program/Wellness and Fitness Credit Program/Health and Wellbeing Credit Program/Fitness and Wellness Credit 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Wellness App Program/Health and Wellness Gift Program/Wellness and Fitness Gift Program/Health and Wellbeing Gift Program/Fitness and Wellness Gift Program/Health and Wellness Discount Program/Wellness and Fitness Discount Program/Health and Wellbeing Discount Program/Fitness and Wellness Discount Program/Health and Wellness Voucher Program/Wellness and Fitness Voucher Program/Health and Wellbeing Voucher Program/Fitness and Wellness Voucher Program/Health and Wellness Subsidy Program/Wellness and Fitness Subsidy Program/Health and Wellbeing Subsidy Program/Fitness and Wellness Subsidy Program/Health and Wellness Incentive Program/Wellness and Fitness Incentive Program/Health and Wellbeing Incentive Program/Fitness and Wellness Incentive Program/Health and Wellness Reward Program/Wellness and Fitness Reward Program/Health and Wellbeing Reward Program/Fitness and Wellness Reward Program/Health and Wellness Rebate Program/Wellness and Fitness Rebate Program/Health and Wellbeing Rebate Program/Fitness and Wellness Rebate Program/Health and Wellness Credit Program/Wellness and Fitness Credit Program/Health and Wellbeing Credit Program/Fitness and Wellness Credit Program/Health and Wellness Bonus Program/Wellness and Fitness Bonus Program/Health and Wellbeing Bonus Program/Fitness and Wellness Bonus Program/Health and Wellness Raffle Program/Wellness and Fitness Raffle Program/Health and Wellbeing Raffle Program/Fitness and Wellness Raffle Program/Health and Wellness Sweepstakes Program/Wellness and Fitness Sweepstakes Program/Health and Wellbeing Sweepstakes Program/Fitness and Wellness Sweepstakes Program/Wellness and Health Program/Fitness and Health Program/Wellbeing and Health Program/Fitness and Wellbeing Program/Wellness and Health Initiatives/Fitness and Health Initiatives/Wellbeing and Health Initiatives/Fitness and Wellbeing Initiatives/Wellness and Health Benefits/Fitness and Health Benefits/Wellbeing and Health Benefits/Fitness and Wellbeing 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Voucher/Fitness and Wellbeing Voucher/Wellness and Health Subsidy/Fitness and Health Subsidy/Wellbeing and Health Subsidy/Fitness and Wellbeing Subsidy/Wellness and Health Incentive/Fitness and Health Incentive/Wellbeing and Health Incentive/Fitness and Wellbeing Incentive/Wellness and Health Reward/Fitness and Health Reward/Wellbeing and Health Reward/Fitness and Wellbeing Reward/Wellness and Health Rebate/Fitness and Health Rebate/Wellbeing and Health Rebate/Fitness and Wellbeing Rebate/Wellness and Health Credit/Fitness and Health Credit/Wellbeing and Health Credit/Fitness and Wellbeing Credit/Wellness and Health Bonus/Fitness and Health Bonus/Wellbeing and Health Bonus/Fitness and Wellbeing Bonus/Wellness and Health Raffle/Fitness and Health Raffle/Wellbeing and Health Raffle/Fitness and Wellbeing Raffle/Wellness and Health Sweepstakes/Fitness and Health Sweepstakes/Wellbeing and Health Sweepstakes/Fitness and Wellbeing Sweepstakes
Education Requirements:
BS/MS/Ph.D. in Mechanical Engineering or a related discipline, or equivalent experience.
Experience Requirements:
5+ years of industry mechanical engineering experience
CAD expert (3+ yrs in Solidworks preferred)
Machine design experience is required for this role
Extensive Mechatronics skills, specializing in actuation & sensing
Experience with FEA, vibration analysis, risk analysis
Other Requirements:
Willing to work extended hours and weekends if needed
Responsibilities:
Generate new concepts to solve our real world challenges.
Create reliable and scalable designs and concepts.
Design and implement specifications for life-cycle testings
Design components for manufacturing and assembling
Provide input on all aspects of product development from brainstorming to final delivery.
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Software Engineer (Data Eng)
GenHealth.ai is building AI for healthcare, offering applications for prior authorization automation, healthcare analytics, and more. They use a Large Medical Model (LMM) trained on healthcare data.
Benefits:
Healthcare, dental, and vision insurance for your entire family
Equity (stock options) valued between $50,000 - $100,000.
Unlimited vacation and 15+ company holidays per year
Work directly with the founders
Education Requirements:
Bachelor's or Master's degree in Computer Science or related field
Experience Requirements:
Experience working with AWS backend infrastructure, including serverless architectures, data storage, and compute resources
Familiarity with FHIR resources and healthcare APIs
Experience with data modeling and pipeline development
Strong programming skills in Python
Expert skills in Dagster, DBT, Apache NiFi, Apache Airflow, or comparable data pipeline software
Responsibilities:
Design and implement scalable data models and pipelines to support healthcare data mapping and modeling
Work with FHIR resources and connect healthcare APIs to run inference using our transformer model
Develop and maintain backend infrastructure on AWS, including serverless architectures, data storage, and compute resources
Collaborate with data scientists, clinicians, and software engineers to implement data-driven solutions and models
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Growth Hacker (Marketing Engineer)
GenHealth.ai is building AI for healthcare, offering applications for prior authorization automation, healthcare analytics, and more. They use a Large Medical Model (LMM) trained on healthcare data.
Benefits:
Healthcare, dental, and vision insurance for your entire family
Equity (stock options) valued between $15,000 - $50,000
Unlimited vacation and 15+ company holidays per year
Work directly with the founders
Experience Requirements:
Engineering experience to be able to develop and manage a Next.js website
Strong background in healthcare marketing with experience in creating content for LinkedIn, blogs, Twitter, and other social media platforms.
Familiarity with SEO best practices and experience in optimizing content for search engines.
Proficiency in using Google Analytics and other analytics tools to measure and analyze campaign performance.
Experience in developing marketing collateral such as presentations, videos, flyers, whitepapers, and case studies.
Other Requirements:
Must be a US citizen or permanent resident, and currently living in the US.
Responsibilities:
Build and maintain the marketing website (Next.js) of GenHealth.ai
Maintain exceptional taste and style in both visual and content domains
Develop and execute content strategies for LinkedIn, blogs, YouTube, and other social media channels to engage and grow our audience.
Create high-quality, engaging content that resonates with healthcare professionals, patients, and other stakeholders.
Utilize SEO best practices to optimize content and improve organic search rankings.
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Software Engineer (Backend/API)
GenHealth.ai is building AI for healthcare, offering applications for prior authorization automation, healthcare analytics, and more. They use a Large Medical Model (LMM) trained on healthcare data.
Benefits:
Healthcare, dental, and vision insurance for your entire family
Equity (stock options) valued between $25,000 - $100,000.
Unlimited vacation and 15+ company holidays per year
Work directly with the founders
Experience Requirements:
Strong background in Python AND Javascript (Node.js) software development with experience in developing and deploying AI models in production
Experience with Next.js, Express, Flask, FastAPI or other server side API frameworks
Be familiar with generative AI model concepts like tokens, vocabulary, embeddings, attention, RAG, vector DBs, etc.
Ability to produce working prototypes quickly and scale that to production level usage (think 100,000s requests per minute)
An expert intuition at understanding development tradeoffs with regard to development speed, stability, system design and architecture
Other Requirements:
Must be US citizen or permanent resident, and currently living in the US
Responsibilities:
Security, security, security. We work with healthcare data so security is of the upmost importance. You need to know thinks like authentication, authorization, and various standards for implementing those.
Hands on keyboard development of APIs securing and providing access to our generative AI models
Scaling APIs to support thousands of concurrent requests per second
Support API streaming at scale while being mindful of performance
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DevOps Engineer
GenHealth.ai is building AI for healthcare, offering applications for prior authorization automation, healthcare analytics, and more. They use a Large Medical Model (LMM) trained on healthcare data.
Benefits:
Healthcare, dental, and vision insurance for your entire family.
Equity (stock options) valued between $50,000 - $150,000.
Unlimited vacation and 15+ company holidays per year.
Work directly with the founders.
Experience Requirements:
Strong experience in managing and automating cloud infrastructure (AWS, GCP, or Azure).
Proficiency with containerization technologies like Docker/Podman/Singularity, and virtualization (QEMU, KVM).
Experience implementing and operating CI/CD tools such as Jenkins, GitLab CI, or CircleCI.
Solid understanding of infrastructure-as-code tools like Terraform or CloudFormation.
Experience in monitoring and logging tools such as Prometheus, Grafana, ELK stack.
Other Requirements:
Must be a US citizen or permanent resident, and currently living, or willing to relocate to the Boston area.
Responsibilities:
Design, implement, and manage scalable infrastructure for deploying AI models and data ingestion both on-premises in Boston, MA, and in the cloud.
Automate the deployment, monitoring, and scaling of AI and data ingestion systems.
Collaborate with software/ML engineers and data scientists to ensure seamless integration and deployment of AI models and data ingest platforms.
Develop and maintain CI/CD pipelines for model and infrastructure updates.
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ML Ops Engineer
GenHealth.ai is building AI for healthcare, offering applications for prior authorization automation, healthcare analytics, and more. They use a Large Medical Model (LMM) trained on healthcare data.
Benefits:
Healthcare, dental, and vision insurance for your entire family
Equity (stock options) valued between $50,000 - $150,000.
Unlimited vacation and 15+ company holidays per year
Work directly with the founders
Experience Requirements:
Strong experience at all levels of the stack, from the systems/OS level and physical infrastructure, to high-level business logic.
Experience with modern data engineering tooling at scale likw DBT, Apache Arrow, Polars, DuckDB, Dagster, Ray.
Experience working with datasets in the 10s of TBs or larger. Our nodes may see multiple PBs of traffic per day
Strong background in AI and Machine Learning with experience in developing and deploying AI models in production
Experience with Transformer Neural Network training and testing in production for very large models
Responsibilities:
Hands on keyboard development of cutting-edge generative AI models at all layers of the stack.
Scale Transformer Neural Network training, testing, and evaluation for models that run on over 100M patient records.
Work with a team of engineers and data scientists to develop and deploy AI models applicable to diverse and domain-specific healthcare use-cases
Stay up-to-date with the latest developments in AI and healthcare technology
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Research Engineer
GenHealth.ai is building AI for healthcare, offering applications for prior authorization automation, healthcare analytics, and more. They use a Large Medical Model (LMM) trained on healthcare data.
Benefits:
Healthcare, dental, and vision insurance for your entire family (100% premiums paid for employees; 80% for dependents)
Equity (stock options) valued between $50,000 - $150,000.
Unlimited vacation and 15+ company holidays per year
Work directly with the founders
Experience Requirements:
Strong background in research and data analysis, preferably in the healthcare domain.
You’ve built numerous side projects that deal with data and applications, ideally in healthcare.
Proficiency in statistical analysis and data visualization tools.
Experience with querying and analyzing healthcare data using tools like Athena, Python.
Other Requirements:
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Responsibilities:
Evaluate and compare the performance of our large medical model (LMM) against Large Language Models (LMM) and existing risk adjustment methodologies to identify strengths and areas for improvement.
Develop a deep understanding of Medicare, Medicare Advantage, Medicaid and commercial insurance models and analyze their differences and implications for our model.
Utilize data querying tools such as Athena, DuckDB and Polars to extract and analyze relevant healthcare data.
Create informative and visually appealing graphs, charts, and reports to present research findings and insights.
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