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Applied ML engineer on Apple's Software Localization team, applying LLMs, NLP and machine translation to build localization tooling and end-user features for Xcode and Apple products. Day-to-day spans model training, fine-tuning, translating research into production systems, and cross-functional collaboration.
Design and deploy multimodal AI models for oncology diagnostics, integrating histopathology imaging, genomics, transcriptomics, and clinical data using PyTorch and AWS.
Develops, evaluates, and optimizes machine learning models for business problems: preparing datasets, training models, validating metrics, and monitoring production performance. Core stack is Python with Scikit-Learn, TensorFlow, PyTorch, and MLflow, plus statistics and data analysis skills.
Solution Architect – Analytics Technical Advisory and System Integration Eligibility Note Australian citizenship required. Must have an active Negative Vetting Level 1 (or higher) security clearance. Location Summary…
Pinaka, on behalf of the Department of Defence – Australian Army, seeks an experienced Solution Architect to provide specialist advice across analytics, data strategy, AI and ML, and systems integration in Canberra…
Lead cross-functional programs to scale Cohere’s AI model infrastructure, coordinating inference, serving, and endpoints while improving engineering best practices and incident response.
Leads Gusto’s AI/ML strategy, unifying classical ML and GenAI to build scalable, high-impact systems for payroll, HR, and small-business tools while managing cross-functional teams and platform development.
Build and improve large-scale machine learning systems to personalize Pinterest’s recommendation, search, and ads features using deep learning and big data technologies.
Lead the AI/ML architecture and strategy for Netskope’s cloud security platform, designing scalable inference systems and optimizing LLMs for enterprise-grade security applications.
Machine Learning Engineer at Netskope AI Labs building, optimizing, and deploying enterprise-scale AI solutions, particularly focusing on LLM inference optimization using technologies like vLLM, SGLang, and KV Cache optimization.
Lead the AI inference and optimization layer for agentic workflows, tuning models and runtimes for latency, throughput, and memory efficiency on real hardware within a cloud security company.
**Your work days are brighter here.** We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money,…
Senior ML engineer on Moveworks' ML infrastructure team (ServiceNow) who builds, optimizes, and scales end-to-end infrastructure for training, evaluating, and serving LLMs in production. Core technologies include PyTorch/Hugging Face, LLM serving frameworks like vLLM and TensorRT-LLM, Python plus C++/Go, and distributed training and inference pipelines.
ELLKAY started out providing connectivity solutions to laboratories and within a few years, grew to also provide data management solutions to ambulatory organizations. ELLKAY is now a trusted data management partner in…
Company Description Lumen SolutionsGroupInc. is a technology consulting Services company based inFlorida. Weprovidea wide array of experienced business and IT professionals supporting clients from solution design to…
Remote senior machine learning engineer role (placed via Look4IT for a client) improving a globally deployed recommender system. Day to day: driving MLOps practices, building GitLab CI/CD pipelines, managing models with MLflow, deploying on AWS SageMaker, and building scalable Python ML/data pipelines while mentoring other engineers.
Part-time, remote subject-matter expert advising the NRC on AI/ML cybersecurity in nuclear power plants: reviewing literature, identifying use cases and new attack vectors, and mapping controls against RG 5.71 and 10 CFR 73.54/73.110 to help draft a secure AI/ML evaluation framework, running through August 2027.
Build and deploy generative and predictive ML models (sequence/structure, LLM- and agentic-based methods) for therapeutic antibody design in a lab-in-the-loop design-build-test cycle. Day-to-day is hands-on methods development in Python/PyTorch, model deployment, and close collaboration with wet-lab scientists and drug developers.
Machine Learning Scientist at BigHat Biosciences advancing ML-driven therapeutic antibody design: building generative and predictive models of antibody sequence/structure on proprietary datasets, running lab-in-the-loop optimization with a roboticized wet lab, and deploying LLM/agentic methods. Core stack: Python, PyTorch, AWS.
Computer Vision Engineer at a scaling R&D miltech company that builds FPV drone solutions proven in combat. The role focuses on developing and improving visual map-matching algorithms for GNSS-denied navigation, at the intersection of Computer Vision, SLAM and visual navigation. Office-based in Kyiv or Lviv.
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