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Member of Technical Staff - Audio - Language Model Data
Liquid AI is a foundation model company building general-purpose AI systems, including Liquid Engine and Liquid Foundation Models (LFMs).
Responsibilities:
Create and maintain data cleaning, filtering, selection pipeline that can handle audio-text data.
Watch out for the release of public high quality audio (ASR and SFT) datasets.
Create and maintain synthetic data generation pipeline to create task-specific audio SFT data.
Work with the multimodal audio team to run ablations on new dataset.
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Member of Technical Staff - Edge AI Inference Engineer
Liquid AI is a foundation model company building general-purpose AI systems, including Liquid Engine and Liquid Foundation Models (LFMs).
Responsibilities:
Strong ML Experience: Proficiency in Python and PyTorch to effectively interface with the ML team at a deeply technical level.
Hardware Awareness: Must understand modern hardware architecture, including cache hierarchies and memory access patterns, and their impact on performance.
Optimization of Low-Level Primitives: Responsible for optimizing core primitives to ensure efficient model execution.
Self-Guided and Ownership: Ability to independently take a PyTorch model and inference requirements and deliver a fully optimized edge inference stack with minimal guidance
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Member of Technical Staff - Foundational Model Data
Liquid AI is a foundation model company building general-purpose AI systems, including Liquid Engine and Liquid Foundation Models (LFMs).
Responsibilities:
Create and maintain data cleaning, filtering, selection pipeline than can handle >100TB of data.
Watch out for the release of public dataset on huggingface and other platforms.
Create crawlers to gather datasets from the web where public data is lacking.
Write and maintain synthetic data generation pipelines.
Run ablations to assess new dataset and judging pipelines.
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Member of Technical Staff - Machine Learning Engineer, Data
Liquid AI is a foundation model company building general-purpose AI systems, including Liquid Engine and Liquid Foundation Models (LFMs).
Responsibilities:
Design, develop, and maintain scalable data pipelines for large-scale multimodal and text-based foundation model training.
Curate, clean, and validate diverse real-world datasets, ensuring high data quality and relevance.
Develop and optimize data preprocessing models for automated cleaning, augmentation, and filtering.
Implement robust data evaluation and benchmarking strategies to assess dataset quality and model impact.
Develop scalable tools and frameworks for data ingestion, transformation, and annotation.
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Member of Technical Staff - Machine Learning Engineer, Training Infrastructure
Liquid AI is a foundation model company building general-purpose AI systems, including Liquid Engine and Liquid Foundation Models (LFMs).
Responsibilities:
Design and implement high-performance, scalable training infrastructure that efficiently utilizes our GPU clusters for both specialized and large-scale multimodal models
Build robust data loading systems that eliminate I/O bottlenecks and enable training on diverse multimodal datasets
Develop sophisticated checkpointing mechanisms that balance memory constraints with recovery needs across different model scales
Optimize communication patterns between nodes to minimize the overhead of distributed training for long-running experiments
Collaborate with ML engineers to implement new model architectures and training algorithms at scale
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Member of Technical Staff - Machine Learning Research Engineer, Post-Training
Liquid AI is a foundation model company building general-purpose AI systems, including Liquid Engine and Liquid Foundation Models (LFMs).
Responsibilities:
Fine-tune both general-purpose and specialized models to align with specific use-case requirements.
Design post-training datasets and develop rigorous evaluation frameworks to target and quantify model improvements.
Participate in post-training research discussions and collaborate with cross-functional teams to translate novel ideas into practice.
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Member of Technical Staff - Vision-Language Model Data
Liquid AI is a foundation model company building general-purpose AI systems, including Liquid Engine and Liquid Foundation Models (LFMs).
Responsibilities:
Create and maintain data processing, cleaning, filtering, and selection pipeline that can handle image-text data.
Watch out for the release of public high quality VLM datasets.
Create and maintain synthetic data augmentation pipeline to enhance VLM data quality.
Work with the multimodal vision team to run ablations on new dataset.
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Backend Software Engineer
Molg enables circular manufacturing with robotics and design, focusing on autonomous disassembly and design for reuse to tackle e-waste and recover valuable materials.
Benefits:
401k
equity
full healthcare benefits
Experience Requirements:
3+ years of industry experience
Responsibilities:
Design, develop, and maintain scalable and resilient microservices that power Molg's robotic systems.
Architect, implement, and manage containerized applications using Docker or similar technologies.
Build and maintain APIs to facilitate seamless communication between different components of our systems, ensuring high performance and availability.
Collaborate with cross-functional teams including frontend engineers, data scientists, and product managers to integrate new features and improve existing functionality.
Optimize system performance and ensure high reliability and availability of backend services.
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Computational Design Engineer
Molg enables circular manufacturing with robotics and design, focusing on autonomous disassembly and design for reuse to tackle e-waste and recover valuable materials.
Benefits:
equity
401k
generous PTO policy
full healthcare benefits
Experience Requirements:
3+ years of industry experience in CAD software development, 3D modeling software, 3D printing software, rendering and visualization software, game development, or related field.
Responsibilities:
Developing and pushing quality code for Molg’s assembly intelligence and synthesis software that focus on the core CAD and 3D models to robotic motion, grasp planning, microfactory orchestration workflow.
Designing and building plugin integrations with Autodesk, Solidworks, PTC, and other CAD software packages.
Working on and contributing to Molg’s proprietary scripting language (MPL).
Building internal tools to improve overall Microfactory orchestration and workflows.
Collaborating with robotic, mechanical, and software engineers on customer product implementations with Molg Microfactory.
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Computer Vision Engineer
Molg enables circular manufacturing with robotics and design, focusing on autonomous disassembly and design for reuse to tackle e-waste and recover valuable materials.
Benefits:
salary
equity
full healthcare benefits
Experience Requirements:
3+ years of industry experience in computer vision, machine vision, or image processing in manufacturing environments
Responsibilities:
Continuous design, development, testing, and deployment of 2D and 3D vision capabilities incorporated into the Molg Microfactories.
Testing and verifying accuracy and precision of off-the-shelf and novel in-house vision feedback systems as it relates to robotic motion planning and grasping.
Collaborating with robotic, mechanical, and software engineers on design and packaging of vision systems inside Molg Microfactory designs.
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Mechanical Engineer
Molg enables circular manufacturing with robotics and design, focusing on autonomous disassembly and design for reuse to tackle e-waste and recover valuable materials.
Benefits:
equity
full healthcare benefits
Experience Requirements:
3+ years of industry experience in mechanical engineering and automation roles
Responsibilities:
Design and Development: Engage in the conceptualization and creation of mechanical systems for diverse robotic microfactory applications.
Prototyping and Testing: Prototype and refine mechanical components, leveraging both simulations and hands-on testing to ensure optimal functionality.
Integration and Automation: Collaborate on integrating mechanical designs with electronic and software counterparts to enhance automation efficiency.
Sustainability and Circular Design: Innovate in sustainable design practices, focusing on modularity, repairability, and end-of-use circular processing.
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OriginMark Lead
Molg enables circular manufacturing with robotics and design, focusing on autonomous disassembly and design for reuse to tackle e-waste and recover valuable materials.
Benefits:
equity
full healthcare benefits
Experience Requirements:
An experienced product owner or manager, with a strong track record in driving software development projects from concept to execution.
Skilled in both front-end and back-end application development processes, with a solid understanding of modern development frameworks and tools.
Experienced in supply chain management, with a proven ability to bridge the gap between technology and operational efficiency.
Responsibilities:
Product Leadership: Define and prioritize the roadmap for OriginMark within the open-source community, ensuring alignment with Molg’s mission and customer requirements.
End-to-End Development: Oversee the design and implementation of both standards documentation and front-end and back-end applications, ensuring seamless integration, user-friendly interfaces, and robust system performance.
Collaboration with Engineering: Partner closely with software engineers to develop scalable and secure features for traceability and transparency across supply chains.
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Robot Tester
Molg enables circular manufacturing with robotics and design, focusing on autonomous disassembly and design for reuse to tackle e-waste and recover valuable materials.
Responsibilities:
Running, supervising, and documenting tests run on Molg’s Microfactories across various automated demanufacturing processes.
Collecting data on process success, failures, and key areas of improvement.
Resetting systems and equipment.
Collaborating with robotics engineers on developing better tests and systems.
Releasing features and improvements into production environments.
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Robotics Engineer
Molg enables circular manufacturing with robotics and design, focusing on autonomous disassembly and design for reuse to tackle e-waste and recover valuable materials.
Experience Requirements:
3+ years of industry experience in robotics
Responsibilities:
Delivering high-quality, testable code for built/integrated robotic hardware (i.e. microfactories)
Building core CAD to robotic motion and grasp planning workflow software (i.e. assembly intelligence)
Developing and expanding advance simulation and motion planning capabilities
Collaborating with mechanical, electrical, and software engineers on end-of-arm tooling, fixturing, vision systems, and control systems
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Senior Backend Engineer
Versatile is a hardware + software solution connecting field operations to office decisions by collecting jobsite production data, tracking crane utilization, and providing actionable insights to optimize construction projects.
Education Requirements:
Degree in computer science or engineering, or equivalent practical experience.
Experience Requirements:
Over 6 years of experience as a Backend Engineer.
At least 2 years of experience with Node.js and TypeScript.
Proven experience in designing and implementing scalable microservices architectures on cloud platforms, preferably AWS.
Responsibilities:
Develop, iterate on, and maintain products that empower construction professionals to enhance their execution processes.
Manage end-to-end feature development, delivering solutions independently, in teams, and across different groups.
Influence and shape the future of our systems, addressing the challenges of building and scaling for rapid growth.
Design and implement APIs to support various clients, ranging from service-to-service communications to client-facing APIs across multiple platforms.
Write primarily in TypeScript, building robust Node.js services and microservices.
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Senior Full Stack Engineer
Versatile is a hardware + software solution connecting field operations to office decisions by collecting jobsite production data, tracking crane utilization, and providing actionable insights to optimize construction projects.
Education Requirements:
Computer science or engineering academic degree or equivalent work experience.
Experience Requirements:
6+ years of experience as a full-stack developer, writing code across all areas of the stack.
At least 2 years of experience with React, and Typescript. Experience with Node.js is preferred but isn’t mandatory.
Proven experience in planning and implementing scalable microservices architectures over cloud platforms, AWS preferred.
Responsibilities:
Own, iteratively develop, and maintain products that enable construction professionals to take construction execution to the next level.
Work on features end-to-end and deliver them while working alone, in the team, and across teams.
Contribute to and impact the future of our systems as we tackle the challenges of building and scaling for rapid growth.
Plan and build APIs that drive and serve a range of clients, from service-to-service communication to client-facing APIs that feed products across multiple platforms.
Implement React-based front-ends that deliver strong user value, with pixel-perfect UIs, and uncompromising performance and UX.
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Senior Frontend Engineer
Versatile is a hardware + software solution connecting field operations to office decisions by collecting jobsite production data, tracking crane utilization, and providing actionable insights to optimize construction projects.
Education Requirements:
Degree in computer science or engineering, or equivalent practical experience.
Experience Requirements:
Over 6 years of experience as a Frontend Developer.
At least 4 years of experience with React and TypeScript.
Proven experience in designing and implementing scalable front-end architectures, as well as design systems.
Responsibilities:
Take ownership of frontend applications, iteratively developing and maintaining features that empower construction professionals to enhance their execution processes.
Work on features end-to-end, delivering solutions independently, within teams, and across various groups.
Influence and shape the future of our front-end systems, addressing the challenges of building and scaling for rapid growth.
Design and implement React-based front-ends that deliver high user value, with pixel-perfect UIs and excellent performance and UX.
Collaborate closely with product stakeholders and fellow engineers to ensure alignment and quality in product development.
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Frontend Tech Lead (HO)
Versatile is a hardware + software solution connecting field operations to office decisions by collecting jobsite production data, tracking crane utilization, and providing actionable insights to optimize construction projects.
Education Requirements:
Degree in computer science or engineering, or equivalent practical experience.
Experience Requirements:
Over 8 years of experience as a Frontend Developer.
At least 3 years of experience with React and at least the same with TypeScript.
Proven experience in designing and implementing scalable front-end architectures.
Responsibilities:
Take ownership of our web apps, iteratively developing and maintaining features that empower construction professionals to Optimize their workflows
Work on features end-to-end, delivering solutions independently, within teams, and across various groups.
Take ownership of, influence, and shape the future of our front-end systems, addressing the challenges of building and scaling for rapid growth.
Design and implement React-based frontends that deliver high user value, with pixel-perfect UIs and excellent performance and UX.
Collaborate closely with product stakeholders and fellow engineers to ensure alignment and quality in product development.
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Founding Engineer - Full Stack
Lamatic is a fully managed PaaS featuring a low-code visual builder, integrated vector stores, and seamless connections to apps, data sources, and leading AI models for building, testing, and deploying AI Agents at the Serverless Edge.
Benefits:
Work in a leading AI application development platform.
Learning and mentorship from founders of multiple Tech Companies.
Exposure to cutting-edge technologies and the chance to work on innovative projects.
Fully Remote setup.
Employee Stock Options ( ESOP )Competitive salary and comprehensive benefits.A dynamic, creative, and supportive work environment.
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Applied AI Engineer
Lamatic is a fully managed PaaS featuring a low-code visual builder, integrated vector stores, and seamless connections to apps, data sources, and leading AI models for building, testing, and deploying AI Agents at the Serverless Edge.
Benefits:
Work in a leading AI application development platform.
Learning and mentorship from founders of multiple Tech Companies.
Exposure to cutting-edge technologies and the chance to work on innovative projects.
Fully Remote setup.
Employee Stock Options ( ESOP )Competitive salary and comprehensive benefits.A dynamic, creative, and supportive work environment.
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