Senior Software Engineer, Machine Learning Job at Roku (Austin)

Senior Machine Learning Systems Engineer

Our organization drives AI innovation across Jira products. We deliver seamless ...

Location

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Extensive experience building Machine Learning and AI solutions (4+ years)
Proven experience developing, deploying, and maintaining end-to-end ML systems, including data engineering, model serving, and monitoring
Expert proficiency with GenAI frameworks and tools, including developing and fine-tuning large language models (LLMs) and building retrieval-augmented generation (RAG) systems
Expert proficiency in Python and ML frameworks like PyTorch, TensorFlow, or JAX
Experience implementing MLOps, CI/CD pipelines, and automation for continuous training, deployment, and monitoring of ML models

Job Responsibility

Collaborate with software engineers, data scientists, and product managers to solve complex problems
Lead projects from technical design through launch
Partner with teams to achieve impactful results
Deliver robust ML solutions to build AI features reaching millions
This includes curating ML datasets, fine-tuning open-source LLMs, or accessing proprietary LLMs
Mentor junior members of the team

What we offer

Health and wellbeing resources
Paid volunteer days

Senior Machine Learning Engineer

Join Axon and be a Force for Good. At Axon, we’re on a mission to Protect Life. ...

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

Senior Software Engineer – AI

NStarX is seeking a highly skilled Senior Software Engineer – AI with a strong f...

Location

India , Hyderabad

Salary:

Not provided

NStarX

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field (PhD is a plus)
9+ years of experience in AI/ML engineering or related roles
3+ years of experience in Generative AI with team leadership responsibilities
Proven track record of production-grade ML and GenAI model development and deployment
Programming: Python (preferred)
GenAI Frameworks: Hugging Face Transformers, Diffusers, LangChain, TGI
Serving & Inference: FastAPI, gRPC, NVIDIA Triton, TorchServe
Cloud Platforms: AWS (SageMaker, EKS), GCP (Vertex AI, GKE), Azure (Azure ML, AKS)
MLOps & DevOps: Kubeflow, MLflow, GitHub Actions, Jenkins, Helm, Terraform
Optimization Techniques: Model quantization, distillation, pipeline and tensor parallelism

Job Responsibility

Design, develop, and deploy machine learning models and AI algorithms to address complex business challenges
Lead and mentor a team of AI/ML engineers, ensuring quality and scalability in solution design and implementation
Collaborate closely with cross-functional teams including data scientists, software engineers, product managers, and UX designers
Lead the development and deployment of Generative AI applications across text, code, image, and audio modalities using state-of-the-art LLMs
Design and implement CI/CD pipelines for the GenAI model lifecycle including training, validation, packaging, and deployment
Apply best practices for model performance tuning, cost optimization, and scalable deployment in cloud and hybrid environments
Develop prompt engineering, fine-tuning strategies (LoRA, QLoRA, PEFT), and evaluation protocols tailored to business use cases
Stay current with emerging trends in AI, ML, and Generative AI and drive adoption across teams
Document processes, model architectures, and deployment strategies for traceability and knowledge sharing
Work closely with cross-functional teams to gather requirements and deliver high-quality solutions

What we offer

Competitive salary aligned with market standards
Opportunities for professional development and skill enhancement
A collaborative and innovative work environment

Fulltime

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

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

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 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

Join Truveta’s Intelligence Platform and Applications team to engineer the next ...

Location

United States , Seattle

Salary:

165000.00 - 190000.00 USD / Year

Truveta

Expiration Date

Until further notice

Requirements

5+ years of experience building and deploying scalable, production-ready ML systems in a collaborative engineering environment
Proficiency with agentic AI frameworks (e.g., LangGraph, AutoGen, CrewAI) and understanding of interoperability protocols such as MCP and A2A
Hands-on experience fine-tuning and optimizing large language models (LLMs) or multimodal models, using techniques such as LoRA, PEFT, and TRL
Experience working with vector databases and embeddings, integrating FAISS, Pinecone, Chroma, or Azure AI Search into retrieval-augmented generation (RAG) or semantic-search pipelines
Strong software engineering fundamentals, with proficiency in Python and experience designing scalable systems in modern cloud environments (Azure, AWS, or GCP)
B.S. or M.S. in Computer Science, Artificial Intelligence, or a related technical field

Job Responsibility

Design and reason with agentic AI frameworks
Bring a deep understanding of LLM fundamentals
Work fluently with embeddings and vector stores
Excel at model fine-tuning
Think and build like engineers
Collaborate across boundaries
Demonstrate senior-level ownership
Understand evaluation deeply
Adapt and learn continuously
Act with purpose

What we offer

Interesting and meaningful work for every career stage
Great benefits package
Comprehensive benefits with strong medical, dental and vision insurance plans
401K plan
Professional development & training opportunities for continuous learning
Work/life autonomy via flexible work hours and flexible paid time off
Generous parental leave
Regular team activities (virtual and in-person)

Fulltime

Senior Software Engineer, Machine Learning

Roku

Location:
United States , Austin

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 10, 2026

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Job Description:

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