CrawlJobs Logo

Senior Machine Learning Engineer II

axon.com Logo

Axon

Location Icon

Location:
United States , Seattle

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

156750.00 - 250800.00 USD / Year

Job Description:

As a ML Engineer at Axon, you will contribute to architecting and implementing the platform used by Axon scientists to bring safe, secure, reliable AI features to Axon devices. Collaborating closely with scientists and device engineers, you will enable new AI capabilities for Axon products (Fleet, Axon Body, Axon Air, and more). You will also make sure As part of a multidisciplinary team, you will be exposed to a wide range of domains and applications: from Automatic License Plates Recognition to Object Tracking and Automatic Speech Recognition.

Job Responsibility:

  • Architect and develop secure, privacy-preserving, on device solutions to enable the continuous improvement of existing AI models
  • Collaborate with scientists in architecting and implementing state-of-the-art edge distributed training techniques
  • Implement on device monitoring solutions used for continuous model improvement
  • Implement innovative model compression solutions to enable AI at the edge
  • Impact the team by bringing your own expertise and deep knowledge of the state-of-the-art to introduce new techniques leading to tangible impact in terms of model fairness, performance, and platform scalability

Requirements:

  • Bachelor’s Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field
  • 10+ years of software engineering experience and a proven track record of successfully architecting and maintaining large-scale distributed platforms
  • Experience with AI on chips, on device model deployment and management
  • Proficiency in python, C++, familiarity with ML frameworks such as TensorFlow, or PyTorch
  • Advanced knowledge and hands-on experience with on chips development
  • Excellent problem solving skills and ability to dive into system architecture, design, performance metrics, code, test plans, project plans, deployments and operations
  • Comfort communicating and interacting with scientists, engineers and product managers

Nice to have:

  • Master’s Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field
  • Hands-on experience in solving Computer Vision or Natural Language Understanding problems in a business setting
  • Familiarity with responsible AI, de-biasing, model encryption and de-identification techniques
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
  • Employee Resource Groups (ERGs)
  • Snacks in our offices

Additional Information:

Job Posted:
February 17, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Senior Machine Learning Engineer II

Senior Software Engineer II, ML Platform

Dandy is building the operating system for dental offices around the world. As a...
Location
Location
Brazil
Salary
Salary:
Not provided
meetdandy.com Logo
Dandy
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
What we offer
  • Healthcare
  • dental
  • mental health support
  • parental planning resources
  • retirement savings options
  • generous paid time off
  • Fulltime
Read More
Arrow Right

Senior Staff Engineer, Applied AI

GEICO is seeking a Senior Staff Engineer, Applied AI to provide technical archit...
Location
Location
United States , Chevy Chase, MD; Palo Alto, CA
Salary
Salary:
130000.00 - 260000.00 USD / Year
geico.com Logo
Geico
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8 or more years of professional software engineering or applied machine learning experience
  • 2 or more years working with Generative AI or LLM-based systems in production
  • Proven track record of architecting and delivering complex AI/ML capabilities that span multiple teams and have measurable business impact
  • Deep hands-on expertise with Python and modern AI frameworks including LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, OpenAI/Anthropic APIs, and emerging agentic frameworks
  • Demonstrated experience building and deploying production RAG (Retrieval-Augmented Generation) systems including document ingestion, chunking strategies, vector search, and context retrieval
  • Demonstrated experience designing and operating production AI systems including multi-agent architectures, intelligent automation, and workflow orchestration
  • Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation (RAG), vector databases, knowledge graphs, and semantic reasoning
  • Familiarity with Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP) for building interoperable AI systems
  • Experience ensuring platform scalability, cross-domain coherence, and alignment with AI platform capabilities and strategy
  • Strong expertise in distributed systems, microservices architecture, service design, performance optimization, and reliability engineering
Job Responsibility
Job Responsibility
  • Specify architectures and system decompositions for AI/ML capabilities that involve significant integrations and cross-team collaboration across multiple product areas
  • Provide technical architecture and leadership for medium to large, complex, cross-functional AI initiatives with visibility at the tech VP level
  • Architect and lead implementation of advanced Generative AI solutions including agent-based systems, intelligent automation, document intelligence, and decision support systems that span multiple business domains
  • Design and implement sophisticated agentic workflows that orchestrate multiple AI agents, tools, APIs, reasoning steps, and business logic to automate complex enterprise processes at scale
  • Question status quo with an eye for simpler designs and more secure approaches, influencing tech VPs to set direction for multiple teams
  • Build systems and platforms that meet the highest standards for scalability, resilience, performance, availability, security, and compliance
  • Identify and scope opportunities for automating business processes using AI across multiple product areas and business domains
  • Advance the state-of-the-art in applied AI by integrating knowledge graphs, vector reasoning, retrieval architectures, and multi-agent systems to solve complex business problems
  • Drive innovation by exploring new models, frameworks, reasoning techniques, and AI architectures and applying them strategically to high-impact business challenges
  • Run rigorous experimentation programs including hypothesis definition, A/B testing, measurement frameworks, and iterative improvement across production AI systems
What we offer
What we offer
  • Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
  • Financial benefits including market-competitive compensation
  • a 401K savings plan vested from day one that offers a 6% match
  • performance and recognition-based incentives
  • and tuition assistance
  • Access to additional benefits like mental healthcare as well as fertility and adoption assistance
  • Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year
  • Fulltime
Read More
Arrow Right

Applied Scientist II and Senior Applied Scientist

Come build community, explore your passions and do your best work at Microsoft. ...
Location
Location
United States , Redmond
Salary
Salary:
100600.00 - 199000.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience
  • 2+ years experience delivering, scaling, and maintaining highly successful and innovative machine learning products
  • 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers)
  • Experience with Large Language Models: Demonstrated experience working with LLMs, such as GPT, BERT, or similar models, including knowledge of their strengths, limitations, and capabilities
  • Understanding of NLP: In-depth knowledge of natural language processing (NLP) techniques and concepts, including tokenization, semantic analysis, and text generation
  • Understanding of state-of-the-art machine learning and deep learning technologies. In particular, hands-on experiences with deep learning models (DNN, Attention, CNN, RNN) and frameworks (TensorFlow, PyTorch, Keras, etc.)
  • Algorithmic and analytical background and understanding on how to apply advanced knowledge to solve real problems
  • Experience in parallel or distributed processing, high performance computing, stream computing and SCOPE
Job Responsibility
Job Responsibility
  • Building and maintaining production machine learning models for ad retrieval, quality prediction and creative generation
  • Finding insights and forming hypothesis on web-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, NLP, optimization, p-values analysis
  • Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them
  • Craft and Optimize Prompts for Effective LLM Performance: Design, test, and refine prompts to elicit accurate, relevant, and useful responses from LLMs. This involves understanding the nuances of how the model interprets different inputs, experimenting with various prompt formulations, and iterating based on performance metrics and user feedback
  • Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own. All programming languages are welcome, especially Python, R, C#, C++, Java, and SQL
  • Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decision
  • Fulltime
Read More
Arrow Right

Senior Computer Vision / Machine Learning Engineer II

Dandy is transforming the massive and antiquated dental industry—an industry wor...
Location
Location
United States
Salary
Salary:
216750.00 - 255000.00 USD / Year
meetdandy.com Logo
Dandy
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
What we offer
  • healthcare
  • dental
  • mental health support
  • parental planning resources
  • retirement savings options
  • generous paid time off
  • Fulltime
Read More
Arrow Right

AI Solution Developer II / Senior AI Solution Developer

This role will work within our Scientific Data Technology and AI department whic...
Location
Location
United Kingdom
Salary
Salary:
Not provided
parexel.com Logo
Parexel
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Educated to BSc. or MSc level in Engineering or Computer Science with a focus on Machine Learning (and GenAI) or other equivalent qualification/experience
  • Experience in Palantir Foundry, it’s ecosystem and components, including building Workshop Apps, building and deploying Modelling Objectives and managing Code Repos and Pipelines
  • Machine Learning, Generative AI (Gen AI), Deep Learning (building and deploying NLP systems within Palantir Foundry)
  • Proven CS fundamentals including data structures, algorithms, and distributed systems
  • Proven theoretical and practical experience in modern ML technologies, including transformers, graphical models, information retrieval techniques, LLMs, time series models, Reinforcement Learning, etc.
  • Proven software engineering fundamentals, including the ability to write production ready code, establish and enforce high engineering standards, architect packages, and own architectural and procedural choices for effective shared codebases within Foundry
  • Knowledge of Python and scientific computing packages (PyTorch, NumPy, Scikit-learn, TensorFlow)
  • Experience with data modeling and pipeline development in Palantir Foundry
  • Experience with frontend development for intuitive user experience
  • Practical understanding of database technologies including relational, non-relational and graph
Job Responsibility
Job Responsibility
  • Leverage Palantir Foundry to build and deploy reusable custom machine learning models, Ontologies and end-user applications
  • Design, implement, and document new ML/Gen AI modeling techniques and strategies
  • Develop ML pipelines and workflows in Foundry to support AI solution development and deployment
  • Review and adapt recent research in ML and Gen AI into Foundry-based prototypes and production solutions
  • Review code and pipelines of other engineers to enhance ML quality and security within Foundry
  • Understand business needs and user workflows and support interpretation in the context of potential AI solutions in Foundry
  • Support development of custom models and AI / Gen AI solutions using Foundry's ML capabilities to address business needs
  • Lead experiment and model evaluation design based on well-founded best practices in machine learning to ensure safe, effective, and principled AI development practices within Foundry
  • Carry out AI solution prototyping and experimentation using Foundry's tools, various LLMs and environments
  • Collaborate with Product to define and implement features to satisfy customer requirements within Foundry
What we offer
What we offer
  • competitive base salary
  • holiday
  • private healthcare
  • dental insurance
  • Fulltime
Read More
Arrow Right

Applied Scientist II

Are you interested in solving large‑scale search problems and building next‑gene...
Location
Location
United States , Redmond
Salary
Salary:
100600.00 - 199000.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience.
  • Ability to collaborate effectively in a fast‑paced research and engineering environment.
  • Solid problem‑solving skills and eagerness to learn new methods, tools, and systems.
  • Experience training, fine‑tuning, and evaluating small or efficient language models (SLMs) at scale.
  • Familiarity with PyTorch or TensorFlow and common ML tooling
  • Experience with Search and Query Understanding, including ranking models, retrieval pipelines, relevance evaluation, or semantic understanding of queries is a huge plus.
  • Solid ability to translate research ideas into reliable, maintainable code.
Job Responsibility
Job Responsibility
  • Develop, train, and evaluate machine learning models with guidance from senior scientists.
  • Implement model improvements through experimentation, data analysis, and iterative refinement.
  • Contribute to the team’s core codebase, including training pipelines, evaluation tools, and automation.
  • Build and maintain tooling that improves research velocity, experiment tracking, and model debugging.
  • Support the development and operation of model‑serving infrastructure with a focus on reliability and performance.
  • Collaborate with engineers and researchers to bring models from prototype to production‑ready systems.
  • Participate in code reviews, documentation, and best‑practice engineering processes.
  • Fulltime
Read More
Arrow Right

Applied Scientist II

We seek an Applied Scientist with expertise in Machine Learning, Generative AI, ...
Location
Location
United States , Redmond
Salary
Salary:
100600.00 - 199000.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience.
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
  • This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Job Responsibility
Job Responsibility
  • Building and owning production machine learning models to improve results.
  • Working hands on with SOTA generative models like Qwen, Llama, Mistral, GPT and others, to deliver big impact.
  • Finding insights and forming hypothesis on large-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, NLP, optimization.
  • Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them
  • Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own. All programming languages are welcome, especially Python, C#, R, C++, Java, and SQL.
  • Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decisions.
  • Fulltime
Read More
Arrow Right

Senior Mechanical Engineer II

Sr. Mechanical Design Engineers at Axon have full design ownership over next gen...
Location
Location
United States , Scottsdale
Salary
Salary:
Not provided
axon.com Logo
Axon
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right