Senior Machine Learning Engineering Manager Jobs

New

Senior Machine Learning Developer

At Boeing, we innovate and collaborate to make the world a better place. We’re c...

Location

India , Bengaluru

Salary:

Not provided

Boeing

Expiration Date

December 31, 2025

Requirements

A Bachelor’s degree or higher is required as a BASIC QUALIFICATION
5+ years of experience in designing and deploying ML workloads in AWS, Azure or GCP leveraging Kubernetes, Docker and Terraform for containerized and Infrastructure-as-Code environments
3+ years of experience with hands‑on experience with MLFlow, Kubeflow, SageMaker, Vertext AI or Databricks ML Runtime for model tracking, deployment and CI/CD integration
5+ years of progressive experience in DevOps and cloud platform operations.
3+ years of hands-on experience designing, implementing, and managing multi-cloud CI/CD pipelines (AWS, Azure, GCP, Databricks, Snowflake).
3+ years of experience in Infrastructure as Code (IaC) using Terraform, CloudFormation, or Ansible and experience in containerization using Docker & Kubernetes.
3+ years of experience implementing observability, monitoring, and tracing frameworks (Prometheus, Grafana, ELK/EFK, Datadog etc.)
3+ years of experience applying FinOps and cost optimization strategies in CI/CD pipelines and cloud operations to drive efficiency, resource accountability, and transparency spend.
3+ years of experience in implementing security controls in CI/CD pipelines and cloud platforms (IAM, RBAC, secrets management, encryption).

Job Responsibility

Design and Build highly reliable and scalable ML and AI solutions that align with the organization’s business goals and objectives
Lead the creation and implementation of scalable, robust, and high-performance ML architectures including MLOps, AIOps leveraging cloud native services (AWS, Azure, GCP) and open-source frameworks
Design, build, and optimize machine learning models, ensuring accuracy, efficiency, and scalability
Collaborate with data engineers, data scientists, software developers, and DevOps teams to integrate ML models into production systems
Assess and recommend ML tools, frameworks, and platforms to deliver business value and foster innovation
Design and development of Generative AI and AI use cases (LLMs, RAG, Agentic, multi model AI, fine tuning. Vector databases and prompt engineering)
Build and optimize continuous integration and continuous deployment (CI/CD) pipelines to enable rapid and reliable software releases
Automate repetitive tasks, including provisioning, configuration, and monitoring, using tools like Terraform, Ansible, or similar
Work closely with developers to integrate DevOps and MLOps practices into the software development lifecycle and support containerized applications (e.g., Docker, Kubernetes)
Own all communication and collaboration channels pertaining to execution of assigned projects, including regular stakeholders, senior leadership and cross-team updates

What we offer

Competitive base pay and incentive programs.
Industry-leading tuition assistance program pays your institution directly.
Resources and opportunities to grow your career.
Up to $10,000 match when you support your favorite nonprofit organizations.

Fulltime

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New

Senior Machine Learning Engineer (Infrastructure)

We are looking for an experienced MLOps Engineer to join our team as a Senior Ma...

Location

United States , Boston

Salary:

152800.00 - 224100.00 USD / Year

SimpliSafe

Expiration Date

Until further notice

Requirements

5+ years of experience in software engineering, data engineering, or a related field, with at least 3 years focused on MLOps or ML infrastructure
Deep hands-on experience with AWS or similar public clouds, including compute, networking, container orchestration, and observability stacks
Hands-on experience with: CI/CD pipelines, Docker
Kubernetes
Infrastructure-as-code tools (e.g., Terraform, Cloud Formation)
Proficiency in programming languages like Python, and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch)
Solid understanding of ML lifecycle management, including experiment tracking, versioning, and monitoring
LLM application development, including prompt engineering and evaluation
Strong communication skills for partnering with cross-functional technical and non-technical teams

Job Responsibility

Lead the architecture, deployment, and optimization of scalable ML model serving systems for real-time and batch use cases
Collaborate with data scientists, engineers, and stakeholders to operationalize ML models
Develop CI/CD pipelines for ML models enabling rapid, safe, and consistent model releases
Design, implement, and own comprehensive production monitoring for ML models/systems
Manage cloud infrastructure, primarily in AWS or other major public clouds, to support ML workloads
Drive best practices in model versioning, observability, reproducibility, and deployment reliability
Serve in an on-call rotation as a first responder for software owned by your team

What we offer

A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive
A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families
Free SimpliSafe system and professional monitoring for your home
Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change
Participation in our annual bonus program, equity, and other forms of compensation
A full range of medical, retirement, and lifestyle benefits

Fulltime

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

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New

Senior Machine Learning Engineer

Location

Malaysia , Kuala Lumpur

Salary:

Not provided

Randstad

Expiration Date

January 01, 2026

Requirements

Proficiency in Python and ML libraries (e.g., Scikit-learn, Pandas, XGBoost)
Strong experience with deep learning frameworks (PyTorch)
Hands-on experience building with LLMs, including prompting, RAG, and fine-tuning
Experience with Hugging Face for sourcing, fine-tuning, and implementing pre-trained models for NLP and other tasks
Strong skills in cloud platforms, preferably AWS
5 years experience
Diploma or Bachelor’s degree in Computer Science, Information Technology, or a related field

Job Responsibility

Design, train, and deploy production-grade ML models
Build robust, automated CI/CD pipelines for model training, evaluation, and serving using containerization (Docker, Kubernetes) and cloud-native tools
Collaborate with other teams to build and manage the data pipelines necessary for ML workflows, ensuring data quality and integrity from various sources
Leverage LLMs and advanced NLP techniques to extract insights from unstructured data, automate complex business processes, and build intelligent solutions

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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

Director of Machine Learning, ML Datasets Engineering

We are building AI to simulate the world through merging art and science. We bel...

Location

United States

Salary:

400000.00 - 490000.00 USD / Year

Runway

Expiration Date

Until further notice

Requirements

8+ years of experience in machine learning and dataset engineering, focusing on large-scale, multimodal datasets
Experience leading data strategies and partnerships at a senior level
Expertise in data analysis, with practical experience in examining complex datasets
Knowledge of data cost management and optimization techniques
Understanding of current developments in dataset engineering and machine learning
Experience working with external data providers and managing large data projects
Ability to connect technical concepts with business strategies
Leadership skills to guide a team of data engineers and analysts
Communication skills to explain complex data concepts to various audiences

Job Responsibility

Establish and oversee data partnerships to obtain high-quality datasets for our AI models
Develop data strategies that support Runway's product and research objectives
Analyze our data ecosystem to find gaps and areas for improvement
Work with external partners on new data projects
Keep up with advances in dataset engineering and machine learning, applying new methods to our work
Participate in hands-on data analysis, guiding the team in data exploration and interpretation
Manage data costs and implement ways to optimize data usage and storage

Fulltime

Senior Machine Learning Engineer, Perception

We are seeking a highly skilled Machine Learning Engineer with deep expertise in...

Location

United States , Santa Clara

Salary:

145000.00 - 200000.00 USD / Year

PlusAI

Expiration Date

Until further notice

Requirements

Ph.D. or Masters in AI, Computer Science, Electrical Engineering, Robotics, or a related field
Ph.D. new grad or Masters + 3 years industry experience
Proficiency in Python and experience building deep learning pipelines
Strong expertise in PyTorch, TensorFlow, or JAX
Proven experience with LiDAR-based 3D perception and BEV representation models
Deep understanding of multimodal sensor fusion architectures and techniques
Familiarity with camera, LiDAR, and radar modalities and their synchronization, calibration, and integration in perception pipelines
Solid foundation in computer vision, deep learning, and 3D geometry

Job Responsibility

Design, implement, and optimize BEV-based perception models that fuse camera, LiDAR, and radar inputs
Benchmark perception models using large-scale datasets and well-defined quantitative metrics
Collaborate cross-functionally with research, data, and deployment engineers to refine models and support real-world applications
Maintain a strong focus on performance, robustness, and scalability for deployment in production systems
Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts
Ensure team compliance with QMS, monitor quality, and drive process improvements

Fulltime

Senior Machine Learning Engineering Manager

Atlassian

Location:
United States , Mountain View ▼
San Francisco
Seattle

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 26, 2025

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