Senior Machine Learning Engineer Jobs

New

Senior Machine Learning Engineer

As an ML Engineer at Axon, you will contribute to developing AI solutions transf...

Location

United States , Seattle

Salary:

150750.00 - 221000.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, Engineering, Electronics, Mathematics or an equivalent highly technical field
6+ years of software engineering experience and a proven track record of successfully deploying AI models to the cloud
Experience with Infrastructure-as-code and cloud architecture
Proficiency in Python and C++
familiarity with ML frameworks such as TensorFlow, or PyTorch
Advanced knowledge and hands-on experience with Linux
Excellent problem solving skills and ability to dive deep into system architecture
Excellent software design skills
Comfort communicating and interacting with scientists, engineers and product managers

Job Responsibility

Collaborate with scientists and product managers to build proof-of-concepts (POCs) contributing to shaping the Axon of tomorrow
Architect and develop secure, privacy-preserving, solutions to enable the continuous improvement of existing AI models
Architect platforms that accelerate research and AI product development
Collaborate with scientists in architecting and implementing state-of-the-art training techniques
Set high standards for ethical and responsible AI development

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
Snacks in our offices

Fulltime

New

Senior Machine Learning Engineer

about job Create and maintain code, documentation, testing and deployment framew...

Location

Singapore , Singapore

Salary:

8000.00 - 10500.00 SGD / Month

Randstad

Expiration Date

January 01, 2026

Requirements

Bachelors in Computer Science or equivalent experience
Min 3 years in machine learning and operations, ideally in a hands-on MLOps role
Experience deploying APIs and packages
Experience with ML ops platforms (MLFlow, W&B
Kubernetes, Docker, dask, rapids.ai, Ray)
Experience with ML frameworks (Tensorflow, keras, Pytorch, xgboost, sklearn)
Strong Python coding skills – experience with unit testing, code reviews, version control
Or could be DevOps Engineer with ML experience. OR Bioinformatics Engineer with AI/ML ops related experience OR ML Engineer with DevOps experience

Job Responsibility

Create and maintain code, documentation, testing and deployment frameworks, tools and infrastructure, working closely with engineers and domain experts on AI/ML models and pipelines
Machine learning model training pipeline, how to manage the data, how to get data into production
Develop environments for building, testing, tracking production AI models and data across data pipelines used in primary and secondary genomic analysis
Be a technical expert to develop AI models within a consistent ML environment, automate training and data/model management

What we offer

Bonus + Allowance
Hybrid working arrangement - 2 days WFH
Can end work early and have more personal time
shuttle bus provided from multiple MRT stations

New

LLM - Senior Staff Engineer - Python + Machine Learning

AquSag is seeking a hands-on Machine Learning Senior Staff Engineer to lead cros...

Location

Salary:

40.00 - 60.00 USD / Hour

AquSag Technologies

Expiration Date

Until further notice

Requirements

9+ yrs of strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs)
Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed
Hands-on experience in Docker for Production deployment
Proven experience managing teams delivering ML/LLM models in production environments
Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure)
Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines
Excellent leadership, communication, and cross-functional collaboration skills
Bachelor’s or Master’s in Computer Science, Engineering, or related field (PhD preferred)
Overlap of 6 hours with PST time zone is mandatory
Commitments Required: 8 hours per day with overlap of 6 hours with PST

Job Responsibility

Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals
Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment
Collaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metrics
Provide technical direction on large-scale model training, fine-tuning, and distributed systems design
Implement best practices in MLOps, model governance, experiment tracking, and CI/CD for ML
Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards
Communicate progress, risks, and results to stakeholders and executives effectively

Fulltime

New

Senior Machine Learning Engineer

As a Senior Machine Learning Engineer at Aignostics, you work hand in hand with ...

Location

Germany , Berlin

Salary:

Not provided

Aignostics

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. PhD is a plus
4+ years of work experience in software development, machine learning or a related field
Advanced programming skills in Python, with experience with other languages (e.g. C/C++, CUDA, Java, Rust) being a plus
Good understanding of distributed systems and frameworks, parallel computing and scalability
Experience with cloud platforms (GCP, AWS or Azure), familiarity with MLOps / DevOps best practices (incl. CI/CD, Docker, Kubernetes and observability)
Dedicated to high coding standards and knowledgeable about best practices in development workflow
Experience with Linux, version control and container technologies
Data engineering skills, experience with working with large datasets
Excellent problem-solving skills and the ability to work independently and as part of a team
Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders

Job Responsibility

Design, develop, deploy and maintain robust ML pipelines to make them usable, efficient and scalable
Optimize and fine-tune data pipelines for production
Engage in code reviews, upholding high standards for clean, reliable code
Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions
Embrace learning new technologies, fostering innovation, and tackling diverse challenges. Contribute to the development of our ML infrastructure, pipelines, services, monitoring systems and codebase in general
Work in an agile development environment and clearly communicate your results to the team
Mentor and guide junior engineers, providing technical leadership and insights

What we offer

Join a purpose-driven startup: We are working collectively to fight cancer and improve patient outcomes
Cutting-edge AI research and development, with involvement of Charité, TU Berlin and our other partners
Work with a welcoming, diverse and highly international team of colleagues
Opportunity to take responsibility and grow your role within the startup
Expand your skills by benefitting from our Learning & Development yearly budget of 1,000€ (plus 2 L&D days), language classes and internal development programs
Mentoring program, you’ll learn from great experts
Flexible working hours and teleworking policy
Enjoy your well-deserved time off within our 30 paid vacations days per year
We are family & pet friendly and support flexible parental leave options
Pick a subsidized membership of your choice among public transport sports and well-being

Fulltime

Senior Staff Machine Learning Engineer

Join the Affirm team as a Senior Staff Machine Learning Engineer and become a pi...

Location

United States

Salary:

232000.00 - 310000.00 USD / Year

Affirm

Expiration Date

Until further notice

Requirements

10+ years of experience researching, designing, deploying, and operating large-scale, real-time machine learning systems
Experience leading end-to-end ML system design, from data architecture and feature pipelines to model training, evaluation, and production deployment
Proficient in Python and ML frameworks, including PyTorch and XGBoost
Strong understanding of representation learning and embedding-based modeling
Deep expertise in neural network-based sequence modeling, including architectures such as Transformers, recurrent, or attention-based models, and multi-task learning systems
Deep hands-on experience with large-scale distributed ML infrastructure, including streaming or batch data ingestion, feature stores, feature engineering, training pipelines, model serving and inference infrastructure, monitoring, and automated retraining
Strong technical leadership: defining long-term strategy, guiding research direction, and aligning work across teams
Exceptional judgment, collaboration, and communication skills
Strong verbal and written communication skills that support effective collaboration across our global engineering organization
Equivalent practical experience or a Bachelor’s degree in a related field

Job Responsibility

Define and drive multi-year, multi-team technical strategy for machine learning across Affirm
Lead the design, implementation, and scaling of advanced ML systems
Partner deeply with ML Platform, product, engineering, and risk leadership to shape long-term modeling capabilities
Provide broad technical leadership across the ML organization, mentoring senior engineers
Drive clarity and alignment on ambiguous, high-stakes technical decisions
Champion operational and system excellence at the area level

What we offer

Equity rewards
Monthly stipends for health, wellness and tech spending
100% subsidized medical coverage, dental and vision for you and your dependents
Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
Competitive vacation and holiday schedules
Employee stock purchase plan enabling you to buy shares of Affirm at a discount

Fulltime

Senior Staff Machine Learning Engineer

Join the Affirm team as a Senior Staff Machine Learning Engineer and become a pi...

Location

Canada

Salary:

206000.00 - 256000.00 CAD / Year

Affirm

Expiration Date

Until further notice

Requirements

10+ years of experience researching, designing, deploying, and operating large-scale, real-time machine learning systems
Experience leading end-to-end ML system design, from data architecture and feature pipelines to model training, evaluation, and production deployment
Proficiency in Python and ML frameworks, including PyTorch and XGBoost
Experience with ML tooling for training orchestration, experimentation, and model monitoring, such as Kubeflow, MLflow, or equivalent
Strong understanding of representation learning and embedding-based modeling
Deep expertise in neural network-based sequence modeling, including architectures such as Transformers, recurrent, or attention-based models, and multi-task learning systems
Deep hands-on experience with large-scale distributed ML infrastructure, including streaming or batch data ingestion, feature stores, feature engineering, training pipelines, model serving and inference infrastructure, monitoring, and automated retraining
Strong technical leadership: defining long-term strategy, guiding research direction, and aligning work across teams
Exceptional judgment, collaboration, and communication skills
Strong verbal and written communication skills

Job Responsibility

Define and drive multi-year, multi-team technical strategy for machine learning across Affirm
Lead the design, implementation, and scaling of advanced ML systems
Partner deeply with ML Platform, product, engineering, and risk leadership to shape long-term modeling capabilities
Provide broad technical leadership across the ML organization
Drive clarity and alignment on ambiguous, high-stakes technical decisions
Champion operational and system excellence at the area level

What we offer

Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
Time off - competitive vacation and holiday schedules
ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

Fulltime

Senior machine learning engineer

Location

Japan , Tokyo

Salary:

10000000.00 - 16000000.00 JPY / Year

Randstad

Expiration Date

October 11, 2027

Requirements

Empathy with mission, vision and values
6+ years' experience working as a software/machine learning engineer
5+ years' experience as a Machine Learning Engineer
4+ years' experience as a Deep Learning engineer
Experience in developing GNN or generative models or Geometric Deep Learning
At least 2 publications as first author in international conferences/ journals

Job Responsibility

Appropriate design of evaluation methods based on task-specific understanding of metric properties
Hypothesis proposal, development implementation and performance validation of machine learning models for compound information
Proposal and creation of features according to data and purpose
MLOps, implementation of distributed computing environments
Training machine learning models, exploring and adding data to be used for inference
Search for relevant papers, application and validation of concepts

What we offer

休憩室
更衣室
健康保険
厚生年金保険
雇用保険
賞与

Fulltime

Senior Machine Learning Engineer (Health)

WHOOP is an advanced health and fitness wearable, on a mission to unlock human p...

Location

United States , Boston

Salary:

150000.00 - 210000.00 USD / Year

Whoop

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, Data Science, Applied Mathematics, or a related field. Master’s preferred
5+ years of professional experience as a Machine Learning Engineer or Software Engineer with focus on ML systems
Proven expertise working with time series data (wearable, physiological, or high-frequency sensor data strongly preferred)
Experience designing and deploying ML inference systems at scale: both real-time streaming and large-scale batch pipelines
Strong coding skills in Python (scientific stack) and SQL, with a track record of writing clean, production-quality code
Strong communication skills to collaborate across engineering, research, and product teams
Proven experience deploying and maintaining ML systems on cloud platforms (AWS or GCP)
Working familiarity with MLOps best practices: model versioning, CI/CD for ML, observability, and monitoring for inference systems
Ability to reason about and design for performance trade-offs (latency vs. throughput vs. cost) when building ML inference systems
Strong understanding of backend service development (APIs and service reliability) as it applies to serving ML models at scale

Job Responsibility

Create, improve, and maintain production services that provide analysis for health features in collaboration with Data Scientists and MLOps Engineers
Collaborate with Data Engineers to improve ML data pipelines, tooling, and validation systems that support robust model performance
Work alongside data scientists to translate research prototypes into production ML systems optimized for scale, latency, and cost efficiency
Collaborate with researchers and product teams to align model development with health insights and member impact
Participate in on-call rotations for data science services, ensuring uptime and performance in production environments

What we offer

equity
benefits

Fulltime

Senior Machine Learning Engineer

Randstad

Location:
Malaysia , Kuala Lumpur

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 23, 2025

Expiration:
January 01, 2026

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Senior Machine Learning Engineer

Randstad

Location:Malaysia , Kuala Lumpur

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:December 23, 2025

Expiration:January 01, 2026

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Senior Machine Learning Engineer (Health)

Location:
Malaysia , Kuala Lumpur

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
December 23, 2025

Expiration:
January 01, 2026