Top AI & Machine Learning Jobs

Instructor-led AI and machine learning training covering theory, data preprocessing, algorithms, model building, analytics, real-time projects, case studies, and practical business and IT applications. Participants use Python, TensorFlow, and Scikit-learn and receive certification upon successful completion.

Founding engineer responsible for architecting and building core product systems, writing scalable Python backend code, designing and maintaining AI/ML infrastructure, instituting best development practices (testing, CI/CD), collaborating on product roadmap, and mentoring future engineers.

Own the analytical layer for autonomous-driving model evaluation and release decisions. Analyze simulation and on-road experiment data, improve performance metrics and scoring methods, identify measurement gaps, apply statistical rigor, and translate investigations into actionable recommendations. Partner with Data Science, Validation, Product, engineering, and OEM teams to strengthen evaluation coverage, ground truth, quality investigations, and weekly model-release feedback loops.

Build and ship AI products for enterprise clients as a senior individual contributor. Set technical direction, write production code, own end-to-end technical outcomes, and collaborate directly with CTO-level stakeholders. The role involves approximately 75% coding and 25% client engagement, applying rigorous software engineering practices to frontier AI systems and delivering multiple products across varied domains.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

Own the research-engineering loop for turning base models into capable, reliable agents. Design RL environments, training and evaluation data, post-training experiments, reward systems, and regression suites. Analyze model behavior, diagnose reward hacking and other failures, improve distributed training and rollout infrastructure, and translate successful research into reproducible production pipelines. The role requires strong Python and software-engineering skills, modern language-model experience, deep-learning knowledge, and reinforcement-learning intuition.

Own applied data science for content performance, audience behavior, attribution, segmentation, and pilot performance prediction. Build models for engagement, sentiment, conversion, retention, and campaign attribution; track forecast accuracy and calibration; and translate findings into actionable recommendations. The role also mentors a junior analyst, strengthens statistical rigor, and partners with research and data science leadership.

Develop an open-source AI-powered, physics-informed climate model for improved multidecadal forecasting. Adapt NeuralGCM training pipelines for Google Cloud and NVIDIA GPUs, document and distribute code, couple the model with an ML ocean model, test performance in unseen climates, collaborate through software engineering practices, and create tutorials for the climate modeling community.

Develop evolutionary algorithms for autonomous scientific discovery, enabling populations of models, hypotheses, programs, and representations to evolve through iterative search, selection, evaluation, and recombination. Build Bayesian and probabilistic methods for candidate ranking, uncertainty estimation, diversity preservation, and quality measurement. Establish benchmarks, integrate algorithms into autonomous-science pipelines, publish research, guide technical direction, and mentor colleagues as a senior individual contributor.

Participate in a one-time, remote guided English voice recording session (~20 minutes) using your own compatible device. Must follow recording instructions, complete session in a quiet indoor environment, be at least 18, reside and record from an approved U.S. state, and submit one participation only. Approved participants who meet quality standards receive $25.