900+ Machine Learning Engineer Jobs - September 2026 - High Salaries

Showing 935 jobs results for "machine learning engineer"
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Singapore

  • Data & ML Engineering: Manage large-scale datasets, including preprocessing and versioning, to ensure high-fidelity and reproducible experiments.
  • Pipeline Automation: Contribute to the development and optimization of automated training and evaluation pipelines to improve reliability and deployment efficiency.
  • Builders: You prefer hands-on engineering and practical implementation over purely theoretical research. ...
Posted
5 days ago

Singapore

  • Compare pooled multi-snapshot training, continual training, and rolling retraining. Explore multi-task learning, regularization, and graph self-supervised learning to improve training stability, sample efficiency, and generalization over time.
  • Incorporate graph scores or embeddings into existing risk models and measure incremental value over established features and baselines. Use AUC, KS, out-of-time (OOT) validation, segment analysis, and repeated experiments to assess performance, stability, and applicability across products and markets. Enforce point-in-time correctness for features, relationships, and labels to prevent leakage.
  • Collaborate with data engineering, ML engineering, and risk modeling teams to improve data processing, graph construction, training, batch inference, and evaluation pipelines. Optimize runtime and resource usage, and support model versioning, deployment, and performance monitoring. ...
Posted
10 days ago

Singapore

  • Preparing, validating, and transforming Epic clinical and operational data for model development and inference
  • Deploying internally developed or third-party predictive models through Epic Nebula and the Epic Cognitive Computing framework
  • Developing and maintaining model input mappings, output mappings, configuration, APIs, and workflow integration components ...
Posted
6 days ago

Singapore

  • Platform Integration: Design and drive integrations across AIP surfaces (model serving, ML pipelines, data serving, AI infra, AI Automation tooling) so users experience a coherent platform rather than a collection of services.
  • User Experience Translation: Convert pain points surfaced through embeddings, support channels, and direct user work into functional requirements for AIP teams; propose cross-platform solutions that raise the bar for the DS and MLE personas.
  • Enablement at Scale: Produce reference architectures, patterns, and opinionated best-practice guidance so the next hundred ML use cases land on AIP cleanly, without requiring bespoke platform-team involvement every time. ...
Posted
24 days ago
  • Implement Retrieval Augmented Generation (RAG) architectures and knowledge retrieval solutions.
  • Develop prompt engineering, evaluation, and optimization approaches for AI systems.
  • Develop and maintain AI model deployment pipelines and model lifecycle processes. ...
Posted
a month ago

Singapore

  • Data & ML Engineering: Manage large-scale datasets, including preprocessing and versioning, to ensure high-fidelity and reproducible experiments.
  • Pipeline Automation: Contribute to the development and optimization of automated training and evaluation pipelines to improve reliability and deployment efficiency.
  • Builders: You prefer hands-on engineering and practical implementation over purely theoretical research. ...
Posted
9 days ago

Singapore

  • Prototype, benchmark, and assess new architectures, techniques, and approaches against established baselines.
  • Investigate edge cases and performance limitations, and improve model accuracy, robustness, and efficiency.
  • Consider practical constraints such as latency, throughput, resource efficiency, and hardware-specific optimisation. ...
Posted
3 days ago

Singapore

  • Follow developments in audio and speech ML and judge what holds up under production constraints.
  • Master’s or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field, with a focus on Machine Learning, Data Science, or Artificial Intelligence.
  • Audio specialization: Deep, proven expertise in audio ML, covering generative audio, neural vocoders, text-to-speech/voice conversion, music modeling, and audio representation learning. ...
Posted
4 days ago

Singapore

  • Follow developments in 3D ML and neural rendering and judge what holds up under real production and runtime constraints.
  • Master’s or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field, with a focus on Machine Learning, Data Science, or Artificial Intelligence.
  • 3D specialization: Deep, proven expertise in 3D ML, covering mesh/geometry methods, implicit representations (SDFs, NeRF, Gaussian splatting), point-cloud learning, neural rendering, and differentiable rendering. ...
Posted
4 days ago

Singapore

  • Follow developments in motion generation and character control and judge what holds up on production rigs and within runtime budgets.
  • Master’s or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field, with a focus on Machine Learning, Data Science, or Artificial Intelligence.
  • Animation specialization: Deep, proven expertise in motion and character-animation ML, covering motion synthesis, motion matching, retargeting, physics-based control, and reinforcement learning for character control. ...
Posted
5 days ago

Queenstown

Posted
12 days ago

Singapore

Posted
24 days ago

Singapore

Posted
13 days ago

Singapore

  • Key Qualifications
  • BS degree in Computer Science, Machine Learning, Artificial Intelligence, Information Systems, or a related engineering or quantitative field.
  • 1+ years building and operating applied ML features in production systems. ...
Posted
13 days ago

Singapore

  • As a Lead Machine Learning Engineer, you will be responsible for:
  • • Build AI-native productivity applications with proactive workflows requiring minimal user prompting.
  • • Lead end-to-end ML systems covering data, training, evaluation, inference, and deployment. ...
Posted
a month ago

Singapore

  • 4+ years in data science
  • Python and SQL fluency
  • Experience with modeling and experimentation ...
Posted
5 days ago

Singapore

  • Partner with product, engineering, and business stakeholders to translate complex user needs into intelligent, measurable solutions.
  • Mentor and provide technical guidance to junior AI/ML engineers, fostering a culture of engineering excellence.
  • Define best practices for model development, code quality, testing, reproducibility, and responsible AI. ...
Posted
25 days ago

Singapore

Posted
a month ago

Singapore

Posted
16 days ago

Singapore

  • Model deployment and integration: Collaborate with software engineers and DevOps teams to deploy machine learning models into production environments. Implement APIs and integrate models with existing systems and applications to enable real-time decision-making.
  • Performance monitoring and maintenance: Monitor model performance and address any issues or anomalies that arise. Continuously improve models by refining algorithms, optimizing code, and incorporating feedback from users and stakeholders.
  • Stay up-to-date with the latest advancements: Keep abreast of the latest research and trends in machine learning and artificial intelligence. Evaluate and recommend new tools, libraries, and methodologies to enhance the efficiency and effectiveness of the machine learning workflow. ...
Posted
17 days ago

Singapore

  • Develop reliable, automated, and reproducible ML workflows across the full model lifecycle.
  • Set technical standards for how ML gets built and shipped on the risk team, including architecture and technical direction.
  • Own the operational health of models in production, from low-latency inference to monitoring and incident response. ...
Posted
a month ago

River Valley

Posted
a month ago

Singapore

  • Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
  • As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
  • Diversity & Inclusion ...
Posted
a month ago

Singapore

  • Develop reliable, automated, and reproducible ML workflows across the full model lifecycle.
  • Set technical standards for how ML gets built and shipped on the risk team, including architecture and technical direction.
  • Own the operational health of models in production, from low-latency inference to monitoring and incident response. ...
Posted
a month ago

Singapore

  • Vertical Search Team: Build a full-stack search engine serving billions of global users, covering vertical scenarios such as photo-text search, user search, live search and music search. The scope also encompasses AI-powered search for standalone apps including Drama and Lemon8. We leverage LLM, NLP, and multimodal understanding technologies to iteratively enhance search quality and system performance.
  • Search Ranking Team: By building a full stack search engine system based on advanced AI and machine learning models, we provide industry-leading search experience for billions of global users. We have cutting edge technologies in fields like LLM for Recommendation, Large Ranking Model, Sequence Modeling, Multi-modal Understanding, etc.
  • Optimize full-stack algorithms for local services search, including query analysis, relevance, recall, coarse ranking, fine ranking, blended ranking, etc., to improve user search experience and ecosystem growth. ...
Posted
18 days ago

Singapore

  • Evaluate model performance using appropriate validation techniques, hyperparameter tuning, and model optimisation methods.
  • Deploy machine learning models into production environments and integrate them with existing applications through APIs.
  • Collaborate with software engineering and DevOps teams to build scalable, production-ready AI solutions. ...
Posted
24 days ago