Staff Machine Learning Software Engineer Jobs

3+ years / MS 2+ years experience in real-time / embedded application software.

3+ years experience in C/C++ Linux Shell and Python

2+ years experience in Thread protocol, Matter, MQTT

3+ years experience in Bluetooth Low Energy product development

2+ years experience MCU development experience, NXP/TI chipsets are preferred

Basic electronics knowledge and use of lab equipment is required.

8+ years of experience building highly performant web applications with outstanding UX.

Knowledge of our full-stack technologies is highly preferred - React, Typescript, GraphQL, Ruby on Rails and Go.

Experience collaborating closely with Product & Design to design, implement and iterate on high impact end-to-end product experiences.

Experience working with relational databases and key-value stores

Experience analyzing, benchmarking and optimizing web application page load performance across the entire stack.

Experience working on large scale Ruby on Rails / Go projects.

Experience with Docker, Linux, and Kubernetes

Experience building new products that leverage challenging high-performance algorithms

Knowledge of core AI/ML techniques and algorithms

Experience with pytorch/tensorflow and transformers is a plus

Knowledge of modern AI/ML infrastructure and tooling, including triton and cloud infrastructure

Knowledge of unit testing, profiling, and code tuning

You have 8+ years of (open source) development experience within a SAAS environment

HackerOne is a digital first company, and all employees must be able to work and excel in a remote environment.

Based in US or Canada (Remote)

You are at first a tech-savvy person who likes to work with people and teams

You can help build a team and cultivate innovation, driving cross-functional collaboration and execution of projects across multiple teams

You know how to make a strong impact at a company level

Identify opportunities to enhance ad measurement capabilities by diving deep into our platform and understanding the needs of our advertisers.

2+ years of experience with applied machine learning models and large-scale ML systems

3+ years of end-to-end experience of training, evaluating, testing, and deploying machine learning models

Experience of orchestrating complicated data pipelines and system engineering on large-scale dataset

Prior experience with Ads/Ads Measurement is a plus

Workspace benefits for your home office

Proven engineering skills. Experience of writing and maintaining high-quality production code

5+ years of industry/academic experience of applying machine learning at scale

Experience building ML models for advertising products is a huge plus

Experience in running online AB experiments to measure impact of model ramps

You will have ownership over large-scale projects and drive innovation in the ads relevance domain

B.S. in Computer Science, Applied Math, Statistics, Computational Biology or a related field

Define and apply state of the art software engineering practices and tools (configuration management, static analysis, unit tests and beyond).

Network in the company and actively distribute your knowledge and expertise

Bachelors degree or equivalent industrial experience in Computer Science, Software Engineering, Electrical Engineering or any related field.

Experience in implementing scalable software for Machine Learning applications, preferably in High Performance Computing (HPC) and/or cloud platforms.

Experience with Machine Learning Stacks (e.g. MLflow, Kubeflow, Seldon Core etc.).

Experience that demonstrates your team-oriented, innovative, and strategic working styles

Bachelor’s degree or equivalent practical experience.

5 years of experience with software development in one or more programming languages, and with data structures/algorithms.

3 years of experience testing, maintaining and/or launching software products, and 1 year of experience with software design and architecture.

3 years of experience with ML/AI algorithms and tools, deep learning and/or natural language processing.

1 year of experience in a technical leadership role. Experience developing accessible technologies.

Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.

BS or MS in Computer Science/Software Engineering or equivalent work experience.

Experience with support of AI/ML Solutions in Production Systems

Experience developing end to end expertise of a complex system using multiple technologies

You have strong software engineering skills and strong programming skills in Python/Pandas/ML Libs

Experience with the use of Kubernetes at scale

You have working experience with Docker, and big data frameworks.

You have a bias to ship and iterate alongside product management and design partners

Experience mentoring other engineers, leading cross-team projects, and driving design and technology decisions

Experience with object-oriented programming languages. We mostly use Java but appreciate a variety of languages!

Strong technical background with 8+ years of experience working directly on backend systems/ projects

Experience with Terraform and Kubernetes is a plus!

You have successfully built cloud-native data ingest and aggregation processes that intake gigabytes of data per day

Over five years of experience building software applications in large scale distributed systems.

Experience with building and maintaining high availability, low latency systems, especially with respect to reliability, testing, and observability.

Over 2 years of experience supporting Machine Learning Infrastructure.

Experience optimizing the end-to-end performance of distributed systems.

Experience training and shipping machine learning models to production to solve critical business problems.

Building powerful, flexible, and user-friendly infrastructure that powers all of ML at Stripe.

BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields or related work experience

10+ years of engineering experience with 6+ years building Machine Learning or AI systems

Experience working in a start-up or in a start-up like environment

Strong industry experience working with large scale data systems

Strong analytical and problem-solving skills

Proven software engineering skills across multiple languages including but not limited to Python

This position is fully remote, however candidates need to be located in BC, Ontario or Quebec *

Ph.D. in a technical field or bachelor's degree plus 3 years' experience

5+ years of experience developing NLP models (e.g. BERT, BART, DistilBERT) in production

5+ years of experience with a programming language in a production setting (e.g., Python, Java)

3+ years' experience with machine learning frameworks (e.g. PyTorch, TensorFlow)

2+ years’ experience with use of distributed data processing frameworks (e.g. Spark, Storm)

At least 5 years of experience in Python

Be experienced in PyTorch, Numpy, Pandas, Git, and Docker

Experience with MongoDB or other NoSQL/SQL databases

Knowledge of machine learning concepts

Critical thinking and strong problem-solving skills

Write clean, maintainable, and well-documented Python code

Experience in machine learning engineering and/or machine learning DevOps engineering.

Experience deploying and maintaining ML models in production.

Experience in Big Data Technologies: SQL, Spark, Airflow, NoSQL Databases, Data warehouse and Datalake systems.

Strong programming skills in Python, Golang, and/or Java.

Experience with ML development platform and cloud environments such as using DataBricks, SageMaker, Vertex AI.

Experience with CI/CD tools and working with Git.

Work with Product Management and other key collaborators to develop effective and efficient business solutions in sustainability

Strong computer programming foundation with knowledge of Data Structures, Concurrency, Algorithms, Design Patterns, and Best Practices

Experience with front-end frameworks such as React or Angular

Knowledge of Micro front-end (MFE) architecture

Knowledge of UI design principles and best practices

Experience with user-centered design methodologies and usability testing

Education Stipend: $1,250 CAD annual education & development benefit

4+ years experience working in a machine learning related role

4+ years of experience working with Python

2+ years of experience working with Kubernetes or similar tool

Excellent knowledge of system design

Knowledge of AWS or GCP cloud environments

Strong software design, development, and debugging skills

Optimized Linux, Android, or embedded software development experience

Experience on compiler design and development is a big plus

Knowledge on deep learning and popular frameworks is an asset

Development of end-2-end embedded AI SW stack to run neural network models on Qualcomm leading edge hardware with optimal resource usage

Design and enhance the implementation of ML/AI compilers, kernels, and runtime software to improve performance and power efficiency

2+ years of development experience in a company/production setting

Experience with deep learning frameworks like TensorFlow or PyTorch

Industry or academic experience working on a range of ML problems, particularly NLP

Strong software development skills, with a focus on building sound and scalable ML

Your role and responsibilities will include:

Developing NLP systems that help us structure and understand biomedical information and patient records

Experience in remote sensing data, particularly optical and LiDAR data

4+ years of professional experience in software engineering, with a focus on machine learning infrastructure

Experience with containerization and container orchestration tools like Docker, Kubernetes, and KubeFlow

Experience with accelerated and distributed model training

Experience implementing model versioning, monitoring and observability systems

Excellent technical communication and documentation skills