Senior Machine Learning Engineer II Job at Axon (Seattle)

Senior Computer Vision / Machine Learning Engineer II

Dandy is transforming the massive and antiquated dental industry—an industry wor...

Location

United States , Provo; Indianapolis

Salary:

116000.00 - 145000.00 EUR / Year

Dandy

Expiration Date

Until further notice

Requirements

8+ years experience post Master's degree, or 5+ years of experience post PhD
Extensive experience in Python
Extensive experience in SOTA 2D deep learning and/or experience with 3D deep learning
Experience with 3D geometric Computer Vision
Experience with PyTorch
Have immaculate attention to detail and take pride in delivering excellent code and results
Master's degree or PhD in Computer Science, Computer Engineering, or related fields
Candidates must be able to work onsite in Provo, UT 3 days per week

Job Responsibility

Build Computer Vision models to extract structure from unstructured, information-dense 3D scans
Research SOTA methods for developing models to accomplish 3D generative AI tasks as well as conventional computer vision tasks
Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines
Work with massive datasets to develop both generic models as well as fine tune models for specific applications
Develop evaluation methods which allow us to establish confidence in our datasets and models
Implement best practices for our MLOps pipelines
Work closely with product owners on a feature focused team to deliver value quickly to Dandy’s customers

What we offer

healthcare
dental
mental health support
parental planning resources
retirement savings options
generous paid time off

Fulltime

Senior Computer Vision / Machine Learning Engineer II

Dandy is transforming the massive and antiquated dental industry—an industry wor...

Location

United States

Salary:

216750.00 - 255000.00 USD / Year

Dandy

Expiration Date

Until further notice

Requirements

8+ years experience post Master's degree, or 5+ years of experience post PhD
Extensive experience in Python
Extensive experience in SOTA 2D deep learning and/or experience with 3D deep learning
Experience with 3D geometric Computer Vision
Experience with PyTorch
Have immaculate attention to detail and take pride in delivering excellent code and results
Masters or PhD in related field

Job Responsibility

Build Computer Vision models to extract structure from unstructured, information-dense 3D scans
Research SOTA methods for developing models to accomplish 3D generative AI tasks as well as conventional computer vision tasks
Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines
Work with massive datasets to develop both generic models as well as fine tune models for specific applications
Develop evaluation methods which allow us to establish confidence in our datasets and models
Implement best practices for our MLOps pipelines
Work closely with product owners on a feature focused team to deliver value quickly to Dandy’s customers

What we offer

healthcare
dental
mental health support
parental planning resources
retirement savings options
generous paid time off

Fulltime

Senior Computer Vision/Machine Learning Engineer II (Indianapolis)

Dandy is transforming the massive and antiquated dental industry—an industry wor...

Location

United States , Indianapolis

Salary:

116000.00 - 145000.00 EUR / Year

Dandy

Expiration Date

Until further notice

Requirements

8+ years experience post Master's degree, or 5+ years of experience post PhD
Extensive experience in Python
Extensive experience in SOTA 2D deep learning and/or experience with 3D deep learning
Experience with 3D geometric Computer Vision
Experience with PyTorch
Have immaculate attention to detail and take pride in delivering excellent code and results
Master's degree or PhD in Computer Science, Computer Engineering, or related fields
Candidates must be able to work onsite in Indianapolis, IN 3 days per week

Job Responsibility

Build Computer Vision models to extract structure from unstructured, information-dense 3D scans
Research SOTA methods for developing models to accomplish 3D generative AI tasks as well as conventional computer vision tasks
Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines
Work with massive datasets to develop both generic models as well as fine tune models for specific applications
Develop evaluation methods which allow us to establish confidence in our datasets and models
Implement best practices for our MLOps pipelines
Work closely with product owners on a feature focused team to deliver value quickly to Dandy’s customers

What we offer

healthcare
dental
mental health support
parental planning resources
retirement savings options
generous paid time off

Fulltime

Senior Engineer II, Internal Platform

At Strava, the Foundation engineering team safeguards the infrastructure support...

Location

United States , San Francisco

Salary:

198000.00 - 235000.00 USD / Year

Strava

Expiration Date

Until further notice

Requirements

Proven software engineering expertise
comfortable working across multiple languages (Go, Python, Ruby, Scala, JavaScript) or able to learn quickly
Experience designing, building, or maintaining internal tooling, shared libraries, or platform services
Experience with cloud platforms (preferably AWS), Terraform, service meshes (e.g., Istio), and infrastructure-as-code
Ownership mindset, with the ability to drive initiatives end-to-end, mentor others, and influence cross-functional teams
Developer efficiency, internal tooling, build systems, CI/CD pipelines, or automation experience
Deployment automation, cloud services, and platform operations knowledge
Experience leading adoption of internal tools and driving cross-team enablement
Comfort working at the frontier of infrastructure and software development, exploring new tools, techniques, and approaches

Job Responsibility

Design, build, and modernize an internal admin portal that enables Strava developers, sales, and support teams
Develop and maintain shared platform services, frameworks, and infrastructure to support multiple languages and runtimes (Go, Python, JavaScript, Scala)
Move common actions to the cloud, reducing friction from developer machines
Improve internal systems, including license management, feature flags, and admin workflows
Break down monolithic tools into smaller, manageable, and maintainable components
Explore AI-driven tools to enhance productivity, security, and internal workflows
Ensure internal tools follow best practices for security, privacy, observability, and compliance
Drive adoption, standardization, and enablement, mentoring engineers and fostering cross-team collaboration
Evaluate, integrate, or build developer infrastructure tooling, including CI/CD pipelines, deployment automation, monitoring, alerting, and dashboards for internal teams

What we offer

Offers Equity

Fulltime

Senior Software Engineer II, ML Platform

Dandy is building the operating system for dental offices around the world. As a...

Location

Brazil

Salary:

Not provided

Dandy

Expiration Date

Until further notice

Requirements

5+ years of experience as a Machine Learning Engineer or Software Engineer, ideally within a high-growth startup environment
Deep proficiency in building and operating ML platform components, including feature stores, model registries, distributed training infrastructure, and experiment tracking
Experience designing and running ML systems on cloud infrastructure, including containerization and orchestration technologies such as Docker and Kubernetes, and public cloud platforms (AWS or GCP or Azure)
Expertise in large-scale data processing, with proven experience building reliable ML data pipelines to support complex model training and evaluation
Experience creating and maintaining automated build, test, and deployment workflows across multiple environments (e.g., Buildkite, CI/CD pipelines)
Strong background in observability, including implementing metrics, logging, and tracing for complex, distributed production systems
Ability to communicate clearly and concisely about complex architectural problems and propose iterative, pragmatic solutions

Job Responsibility

Collaborate with Machine Learning Engineers to build the ML training pipelines that process massive 3D datasets, orchestrate model training, and enable continuous model improvements
Streamline the ML lifecycle, from data labeling and experimentation to deployment, by optimizing internal ML components and reducing technical debt
Develop and maintain cloud-native systems and tooling (GCP/Kubernetes) that support Dandy’s 3D dental products in a secure, well-tested, and high-performing manner
Write clean, maintainable code and tests that set the standard for our internal best practices
Partner with stakeholders across the Engineering organization to influence long-term architectural goals and maintain a high-quality bar

What we offer

Healthcare
dental
mental health support
parental planning resources
retirement savings options
generous paid time off

Fulltime

Senior Mechanical Engineer II

Sr. Mechanical Design Engineers at Axon have full design ownership over next gen...

Location

United States , Scottsdale

Salary:

Not provided

Axon

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Mechanical Engineering or equivalent experience
Minimum 9 years of product design experience in high-end consumer electronic products
Proficiency with Creo or similar 3D CAD software
Knowledge in the design of plastic injection molded, stamped metal, die-cast, and machined parts
Familiarity with adhesives and bonded joint design
Experience designing for a high level of dust/water ingress protection
Experience with PCB/PCBA flex circuit and other electro-mechanical integration
Strong DFM/DFA skills, with emphasis on part/assembly tolerance management, to ensure robust designs for high volume manufacturing
Ability to interpret product requirements and translate into quantifiable engineering deliverables
Experience preserving Industrial Design artistic intent in mechanical design implementation

Job Responsibility

Drive innovative product development from conceptualization to manufacturing
Utilize creative problem solving skills to lead ideation of new product architectural concepts for subsystem and system level designs
Construct and analyze high fidelity proof-of-concept prototypes
Perform detailed mechanical analysis to ensure proper function through FEA, tolerance analysis, testing, and other exploratory means
Collaborate regularly with both domestic and international stakeholders
Work autonomously and collaboratively in an empowering and fast-paced environment
Hone your engineering expertise in a dynamic learning environment focused on personal and professional development

What we offer

Competitive salary, bonus, RSUs, 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

AI Engineer II

The AI Center of Excellence (AI CoE) brings together AI Engineers and Data Scien...

Location

India , Pune

Salary:

Not provided

Rapid7

Expiration Date

Until further notice

Requirements

2–5 years of experience in AI/ML engineering or software engineering with AI focus
Foundational hands-on experience with LangChain or similar LLM orchestration frameworks
Familiarity with prompt engineering concepts and techniques
Basic understanding of RAG pipelines - what they are, how retrieval works, and where they're applied
Awareness of agentic AI patterns - tool-calling, agent loops, ReAct
Exposure to LLM evaluation - understanding what good vs. bad LLM output looks like and how to measure it
Working knowledge of AWS Bedrock and/or SageMaker for AI/ML workloads
Strong Python skills and a learning-first mindset
Working proficiency with pandas, NumPy, scikit-learn
Solid understanding of supervised and unsupervised ML, feature engineering, and model evaluation metrics

Job Responsibility

Contribute to building agentic AI workflows - tool-calling, basic agent loops, and LLM-driven automation under senior guidance
Assist in developing and maintaining RAG pipelines - document ingestion, chunking, embedding, and retrieval
Implement and iterate on prompt engineering - few-shot prompting, chain-of-thought, structured outputs
Work with LangChain / LangGraph for LLM orchestration and chaining tasks
Support LLM evaluation tasks - writing eval datasets, measuring output quality, running benchmarks
Contribute to observability and monitoring of LLM systems - latency, token usage, output quality dashboards
Deploy and test LLM-powered features on AWS Bedrock, Lambda, and SageMaker
Participate in prompt versioning and LLM CI/CD pipelines under guidance of senior engineers
Assist with guardrail implementation and output validation for production GenAI systems
Learn and apply agentic AI patterns - ReAct, tool-use APIs, and structured output parsing

Fulltime

Ai Engineer Ii

As a Data Scientist (SE-2), your primary responsibility will be to contribute to...

Location

India , Pune

Salary:

Not provided

Rapid7

Expiration Date

Until further notice

Requirements

A courageous and curious mindset, demonstrating a strong ability to learn new technologies and operate in ambiguous problem spaces
Exceptional collaboration skills with the ability to work cross-functionally with senior scientists and engineers to ship production features
Strong ownership and principled decision-making when evaluating model performance and data quality
2–5 years of professional experience in Data Science or ML Engineering roles
Proficiency in Python and its scientific ecosystem, specifically Pandas, NumPy, and scikit-learn
Hands-on experience building and tuning supervised and unsupervised machine learning models
Working knowledge of AWS ML services, including SageMaker, S3, Bedrock, and Lambda
Foundational exposure to LLM orchestration frameworks such as LangChain or HuggingFace Transformers
Understanding of deep learning frameworks (PyTorch or TensorFlow) for NLP or sequence-based problems
Familiarity with model evaluation metrics and explainability techniques like SHAP or LIME

Job Responsibility

Execute data acquisition, cleaning, and feature engineering to prepare high-quality datasets for security modeling
Build and evaluate supervised and unsupervised ML models, including classification, clustering, and anomaly detection
Develop and optimize LLM-based workflows, including prompt engineering and the implementation of RAG pipelines
Support the deployment and observability of models on AWS infrastructure using established CI/CD pipelines

Fulltime

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Senior Machine Learning Engineer II

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