Mechanical Engineer & Python Expert - Freelance AI Trainer
Contributors may design graduate- and industry-level mechanical engineering problems grounded in real practice, evaluate AI-generated solutions for correctness, assumptions, and engineering logic, validate analytical or numerical results using Python (NumPy, SciPy, Pandas), improve AI reasoning to align with first principles and accepted engineering standards, and apply structured scoring criteria to assess multi-step problem solving.
AI Software Engineer (Back End)
Build and maintain back end services that handle model inference and user requests, design systems to manage requests, sessions, and streaming responses, implement reliability mechanisms such as rate limiting, retries, and graceful failure, build authentication and access controls for public usage, design systems for logging, telemetry, and evaluation signals, improve latency, throughput, and reliability of model serving, integrate new model checkpoints into the production system, and work closely with training and infrastructure engineers to deploy and operate the model. The role involves working inside production systems including logs, traces, performance profiles, and deployment pipelines to ensure the system stays up, fast, and behaves predictably under load.
Automotive Engineering & Python Expert - Freelance AI Trainer
Contributors design graduate- and industry-level automotive engineering problems grounded in real practice; evaluate AI-generated solutions for correctness, assumptions, and engineering logic; validate analytical or numerical results using Python (NumPy, SciPy, Pandas); improve AI reasoning to align with first principles and accepted engineering standards; and apply structured scoring criteria to assess multi-step problem solving.
AI Researcher
You will work across the model development loop, from research questions to training runs to evaluation. This includes designing and testing architecture changes and training regimes for large language models, running controlled experiments at scale and isolating causal effects, studying failure modes in reasoning, generalisation, robustness, and representation, shaping objectives, data mixtures, and optimisation choices that influence model behaviour, building and refining evaluations that measure capability and reliability, analysing training dynamics using logs, metrics, and model outputs, collaborating with ML systems engineers on distributed training and training operations, and writing clear internal notes that turn experimental results into design decisions. You will spend substantial time in code, training runs, logs, and evaluation outputs with the goal of clarity about what improves the model and why. You will work hands-on with code as a primary tool for thinking, moving between theory and implementation quickly and precisely, preferring controlled experiments over broad sweeps, using logs, metrics, and model behaviour to guide decisions, and working closely with engineering counterparts to scale and validate ideas.
Senior Software Engineer
You will be building a powerful project innovating the world of customer support by defining what an AI-first SaaS product looks like, including its UI/UX, capabilities, and data models. You will take ownership of challenging problems and define and implement solutions. The role involves working across the tech stack, leading ambitious and ambiguous projects that require strong technical decision-making, effective implementation, and good product and design instincts. Additionally, you will mentor and lead less experienced engineers.
Product Manager, Models
Own product strategy and roadmap for Heidi's models platform including evaluation, safety, model routing, and fine-tuning infrastructure, setting clear goals and being accountable to achieving them. Prioritise the team's work across enablement requests, model safety and quality, and new capability bets. Identify and resolve where product teams get stuck on models by fixing the platform. Build evaluation tooling and fine-tuning workflows usable by engineers and product teams in clinical settings. Decide improvements based on clinician feedback, model quality signals, and product team requests. Allocate engineering capacity among competing product teams and communicate deferrals clearly. Collaborate with engineers on evaluation design, fine-tuning decisions, and model architecture at a technical level. Set model quality and safety targets grounded in clinical outcomes. Consolidate infrastructure duplicated across product teams. Monitor foundation model developments and update the roadmap accordingly. Reporting into Product leadership, this platform role supports every user-facing product at Heidi.
AI Software Engineer (Model Training)
Build and maintain systems that support large scale model training including designing and maintaining distributed training pipelines for large language models, building data ingestion and preprocessing systems for large training datasets, developing tooling for experiment management, checkpointing, and reproducibility, monitoring and debugging long running training jobs across clusters, improving reliability and observability across the training stack, optimizing training throughput across compute, memory, and data pipelines, working closely with researchers to translate experimental ideas into training runs, and diagnosing failures across infrastructure, training loops, and data pipelines. The work involves working inside code, logs, dashboards, and experiment outputs to make large scale training reliable.
Senior ML Operations (MLOps) Engineer
The Senior ML Operations (MLOps) Engineer at Eight Sleep is responsible for introducing and implementing cutting-edge ML technologies, owning the design and operation of robust ML infrastructure including scalable data, model, and deployment pipelines to ensure reliable model delivery to production. They collaborate cross-functionally with R&D, firmware, data, and backend teams to ensure reliable and scalable ML inference on Pods. They optimize ML systems for cost, scalability, and performance across training and inference, and develop tooling, microservices, and frameworks to streamline data processing, experimentation, and deployment. The role requires effective communication in a remote work environment.
Manual Quality Assurance Engineer, Web Core Product
Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for diverse use cases. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture that improve performance, latency, throughput, and efficiency of deployed models. Build tools to identify bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.
Senior Software Engineer - Australia
As a Senior Software Engineer at Neara, you will design and implement features in one of three engineering groups: Digitisation, Platform, or Design. In Digitisation, responsibilities include developing and measuring algorithmic and machine learning improvements to digital twin extraction, improving monitoring systems to identify extraction errors, and creating tooling to quickly fix problems from automated solutions. In Platform, duties involve developing the internal platform functionality by identifying common abstractions for varied use cases and creating data abstractions that allow users to semantically model and interact with organizational data. In Design, tasks include developing solutions for simulating structural forces on electric networks and their behavior in different weather scenarios, as well as developing CAD-like tools to import engineering designs and integrating lidar and imagery for better simulation outcomes.
Access all 4,256 remote & onsite AI jobs.
Frequently Asked Questions
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.