Design and manage AWS infrastructure for AI services.
Implement Infrastructure as Code using Terraform.
Collaborate with cross-functional teams to enhance performance.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. Their system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
As a Senior MLE, debug complex AI implementations and optimize inference performance. Work directly with product teams building solutions and develop blueprints for proven patterns. Operate in a high-velocity environment where priorities shift rapidly based on team needs.
Join the team redefining how the world experiences design.
Develop and deploy computer vision models for facial recognition, object detection and scene categorization.
Build scalable pipelines for processing large volumes of image data and generating structured metadata.
Design and implement recommendation systems leveraging behavioral analytics and transformer-based models.
Jobgether uses an AI-powered matching process to connect candidates with companies. They ensure applications are reviewed quickly and fairly, and their system identifies top-fitting candidates for the hiring company.
Lead the design and deployment of advanced AI inference systems for high-profile clients.
Translate complex business problems into robust, real-time AI architectures.
Partner with technical teams and clients to deliver scalable, high-performance solutions on modern GPU and cloud infrastructure.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against a role's core requirements.
Own the end-to-end lifecycle of ML model deployment—from training artifacts to production inference services.
Design, build, and maintain scalable inference pipelines using modern orchestration frameworks (e.g., Kubeflow, Airflow, Ray, MLflow).
Implement and optimize model serving infrastructure for latency, throughput, and cost efficiency across GPU and CPU clusters.
MARA is building a modular platform that unifies IaaS, PaaS, and SaaS which will enable governments, enterprises, and AI innovators to deploy, scale, and govern workloads across data centers, edge environments, and sovereign clouds. They are redefining the future of sovereign, energy-aware AI infrastructure.
Design and deliver advanced solutions that generate predictions from a wide range of Computer Vision models.
Build and evolve key components of the Roboflow Platform to ensure seamless, reliable model deployment at scale.
Contribute to and maintain Roboflow’s open-source projects, helping grow and support the broader developer community.
Roboflow simplifies building and using computer vision models, and over 1M+ developers, including those from half the Fortune 100, use Roboflow’s tools.
Collaborate with cross-functional teams to improve scalable AI systems.
Research, evaluate, and integrate new AI technologies for payment systems.
Build and deploy AI solutions using Python, LLM libraries, AI services, and AWS.
DLocal enables companies to collect payments in 40 emerging market countries, helping global brands increase conversion rates and simplify payment expansion. They have 1000+ teammates from 30+ different nationalities and offer a flexible, remote-first dynamic culture.
Design resource management systems provisioning and orchestrating compute across AWS, GCP, and Azure using infrastructure-as-code.
Architect fault-tolerant infrastructure for distributed ML, GPU clusters, NVIDIA runtime, S3 checkpointing, Large dataset management and streaming, health monitoring.
Build systems that simulate and handle real-world network conditions — bandwidth shaping, latency injection, packet loss.
Pluralis Research is pioneering Protocol Learning—a fully decentralised way to train and deploy AI models that opens this layer to individuals rather than well resourced corporates.
Partner with stakeholders to identify and prioritize opportunities for AI and automation.
Design, develop, and deploy AI and automation systems that drive measurable business impact.
Build and maintain scalable infrastructure, including front-end interfaces and back-end services.
Jobgether uses an AI-powered matching process. They ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements.
Design scalable, future-proof data platforms optimized for AI research workloads.
Build efficient self-serve data processing pipelines leveraging GCP's advanced services.
Implement guardrails for cost, quality, and performance.
AssemblyAI is at the forefront of Speech AI, creating powerful models for speech-to-text and speech understanding via an API. They're a remote team of startup veterans and AI researchers looking to build one of the next great AI companies.
Work with research teams to design and build our training infrastructure
Prototype new training frameworks and production-ize solutions at scale
Design, optimize and test model integration infrastructure
Clarifai is a leading AI platform specializing in computer vision, NLP, LLMs, and audio recognition, helping organizations transform unstructured data into structured data. Founded in 2013, they remotely operate across multiple countries with backing from industry leaders, fostering a diverse and equal opportunity workplace.
Architect and lead the development of agentic workflows and fine-tuned models for the automation of new and existing security operations processes.
Establish ML and data pipelines for the training and deployment of fine-tuned generative AI and machine learning models.
Design scalable systems to unify and correlate data across heterogeneous sources using rule-based, probabilistic, and ML-based approaches.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Their system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Drive the development and deployment of advanced AI models and systems that power Abacus products.
Oversee software development teams (30+ engineers) across multiple product lines, guiding architecture decisions and coding standards.
Lead critical projects in AI and data engineering, ensuring roadmap delivery and maintaining high quality standards.
Abacus Insights aims to unlock the power of data, enabling health plans to deliver the right care at the right time. Backed by $100M, they foster a bold, curious, and collaborative environment where innovation starts with people working together to make an impact.
Design, build, and scale enterprise-grade AI/ML systems that power internal workflows and external-facing AI/ML platforms.
Develop a production-ready Generative AI and MLOps platform with reusable components used to deploy multiple AI solutions across Natera’s business units.
Implement cloud-native infrastructure for large-scale model training and serving using Kubernetes, MLflow, Terraform, and AWS-native services
Natera is a global leader in cell-free DNA (cfDNA) testing. They are dedicated to oncology, women’s health, and organ health, aiming to make personalized genetic testing and diagnostics part of the standard of care. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions.
Lead architectural design and technical strategy for open-source AI solutions.
Act as a technical point of contact for clients, understanding their business challenges.
Provide expert guidance on open-source AI frameworks, libraries, and tools.
OpenTeams builds AI that empowers, focusing on energy-efficient, cost-effective, and fully client-owned models, with an open-source ethos promoting freedom, trust, and accountability. They reinvest 3% of profits into the open-source community and value freedom, teamwork, accountability, and uncompromising quality.
Drive Prompt’s mission to improve healthcare through modern technology including AI
Lead AI projects from ideation → architecture → production → iteration until tools are widely adopted and loved!
Design, build, and deploy end-to-end AI systems across both traditional ML and LLM-based workflows
Prompt delivers highly automated and modern B2B enterprise software to rehab therapy businesses, their teams, and most importantly the patients they serve. They’ve established themselves as the go-to platform in the space and are rapidly growing their market share by delivering software people love.
Strong computer science or engineering background with 3+ years of coding experience with Python.
Advanced knowledge of AWS services including but not limited to their ML services (AWS SageMaker and AWS Step Functions).
Experience with ML monitoring and automation tools (MLflow, SagaMaker Pipelines).
Bluelight is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.