About the role:

The Samsara ML Experience team builds end-to-end ML applications to power different product pillars at Samsara. As a Senior Machine Learning Engineer II, you will be responsible for developing ML solutions to increase the safety, efficiency and sustainability of the physical operations. You will work closely with various engineering teams across ML, full-stack, firmware as well as cross functional partners to deliver core infrastructure, services, and optimizations.

This role is open to candidates residing in the Canada and US except the San Francisco Bay Area (125 mi. radius from 1 De Haro St, San Francisco) and NYC Metro Area (50 mi. radius from 131 W 55th St, New York).

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number:Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.

Click hereto learn about what we value at Samsara. 

In this role, you will:

• Design and implement scalable machine learning infrastructure using Ray to support model training, deployment, and inference at scale
• Leverage Kubernetes for orchestration of containerized applications, ensuring seamless deployment, scaling, and management of ML models and associated services
• Develop and maintain CI/CD pipelines for automated testing, deployment, and management of ML applications and infrastructure
• Implement robust monitoring, logging, and alerting systems to ensure high availability, performance, and security of the ML platform
• Collaborate with data scientists and ML engineers to optimize data pipelines and model performance
• Stay abreast of the latest advancements in machine learning technologies and infrastructure, and advocate for the adoption of best practices and new technologies within the team
• Provide DevOps/SRE support for the ML platform, including incident response, performance tuning, and disaster recovery planning
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Minimum requirements for the role:

• BS or  MS in Computer Science or other relevant field
• 6+ years experience as an Machine Learning Engineer or similar role
• Strong proficiency in one or more common languages (e.g., C++, Golang, Java, Python, Scala) 
• Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch)
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack) and security best practices for ML platforms

An ideal candidate also has:

• Ph.D. in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)
• Strong experience with Ray for distributed machine learning, Kubernetes for container orchestration, and Docker for containerization
• Solid understanding of DevOps and SRE principles, including experience with CI/CD tools (e.g., Jenkins, GitLab CI), infrastructure as code (e.g., Terraform, Ansible), and cloud services (AWS, GCP, Azure).

Software Engineer - Control Systems

We are looking for a hardworking and creative Software Engineer with experience in developing highly-available, scalable and reliable software systems. We are a team of backend engineers that are focused on customer configuration management and delivery. We expect this position to help us evolve our configuration system as well as the engine that validates, compiles and ships customers’ configuration to our distributed POPs across the globe.

Our tech stack includes Perl, Go, C++ Docker, AWS

What You'll Do

• Develop components or features that have a direct impact on how customers configurations are managed, and shipped to the edge
• Write code in Perl
• Support and deploy applications written in Go
• Collaborate with your teammates through code and design reviews
• Build for the continued reliability and scaling needs of the Fastly Control Systems
• Participate in on-call rotation
• Contribute to the core infrastructure and platform needs of the team by working with tools and frameworks like Terraform, Kubernetes

What We're Looking For

• In order to be successful in this role, you have a minimum of 2 years of experience developing applications in one of the following languages Perl, Go or C++
• Understanding of best principles for system design 
• You are eager to learn new domains, grow your skills, and move up the stack
• Strong written and verbal communication skills
• A great teammate: communicative, collaborative, empathetic
• You have experience working with teams distributed across different time zones

We value a variety of voices, so this is not a laundry list. It would be an added bonus if you have experience in ANY of these:

• Building, analyzing, profiling, or debugging large-scale distributed systems
• API development
• Caching
• Varnish
• Previous experience working with Fastly is a plus

Work Hours: This position will require you to be available during core business hours as well as evenings and weekends as needed to participate in the on-call support rotation. 

Work Location(s) & Travel Requirements: 

This position is open to US candidates.

The preferred locations for this position are:

• San Francisco, CA
• Los Angeles, CA
• Denver, CO
• New York, NY

Fastly currently embraces a largely hybrid model for most roles which allows employees flexibility to split their time between the office and home. 

Salary:

The estimated salary range for this position is $133,200 to $166,500. 

Starting salary may vary based on permissible, non-discriminatory factors such as experience, skills, qualifications, and location.

This role may be eligible to participate in Fastly’s equity and discretionary bonus programs.

Benefits: 

We care about you. Fastly works hard to create a positive environment for our employees, and we think your life outside of work is important too. We support our teams with great benefits that start on the first day of your employment with Fastly. Curious about our offerings? 

We offer a comprehensive benefits package including medical, dental, and vision insurance. Family planning, mental health support along with Employee Assistance Program, Insurance (Life, Disability, and Accident), a Flexible Vacation policy and up to 18 days of accrued paid sick leave are there to help support our employees. We also offer 401(k) (including company match) and an Employee Stock Purchase Program. For 2024, we offer 10 paid local holidays, 11 paid company wellness days. 

Meet The Team:

We are seeking people who are passionate about making a difference in the world. Torc is growing, and we’re assembling teams of creative, ambitious people who have the tenacity to make the impossible possible. Join us as we make our roads, workplaces, and missions safer for everyone.

Our culture is one of openness and transparency and our work reflects that. Torc’rs are encouraged to bring forward new ideas and initiatives, and no matter what job you are working on, you’ll be able to directly observe how your contribution comes to life in the solutions we create together.

What You’ll Do:

We’re looking for engineering professionals with expert-level skills in software development and automation combined with experience working in the area of developer enablement to bring new ideas, optimizations, and best practices to the entire software organization. As a software engineer focused on tool development and automation, you will work closely with a passionate team of engineers to improve the processes that support the development of high-quality safety-critical software for self-driving vehicles.

• Scan the landscape of current tools and processes and find ways to enhance our ability to create, test, and deliver high-quality software that supports the autonomous driving system.
• Design, implement, and maintain scalable software build and delivery solutions, including management of packages, dependencies, and artifacts.
• Work with cross-functional teams to develop and enforce best practices for software development and quality assurance in compliance with existing standards.
• Create new tools that benefit the company, emphasizing automation over manual process, integration of systems to enhance business efficiency, and optimizing employee productivity.

What You’ll Need to Succeed:

• Degree(s) in Engineering, Computer Science, or a related technical field with relevant experience as specified below:
  • MS with 0-3 years of experience OR BS with 4+ years of experience
• Proficiency in Linux platforms (Ubuntu, Centos).
• Proficiency in high-level and scripting languages (C++, Python, bash, groovy).
• Proficiency in version control systems (Git).
• Continuous integration/Continuous delivery concepts and tools.
• Strong ideation skills, creativity, and proactive problem solving.
• Troubleshooting skills (real-time and in-depth analysis)
• Test automation principles and design.
• Performance metrics and analysis.

Bonus Points!

• Build automation and static analysis tools (CMake, Cppcheck, Clang-Tidy)
• Experience working with cloud infrastructure at scale (AWS, Azure, GCP)
• Containerization and container orchestration (Docker, Kubernetes)
• Configuration management, Infrastructure as Code (Ansible, Terraform)

Perks of Being a Full-time Torc’r

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:  

• A competitive compensation package that includes a bonus component and stock options
• 100% paid medical, dental, and vision premiums for full-time employees  
• 401K plan with a 6% employer match
• Flexibility in schedule and generous paid vacation (available immediately after start date)
• Company-wide holiday office closures
• AD+D and Life Insurance 

Meet the Team: 

We are seeking people who are passionate about making a difference in the world. Torc is growing, and we’re assembling teams of creative, ambitious people who have the tenacity to make the impossible possible. Join us as we make our roads, workplaces, and missions safer for everyone. 

Our culture is one of openness and transparency and our work reflects that. Torc’rs are encouraged to bring forward new ideas and initiatives, and no matter what job you are working on, you’ll be able to directly observe how your contribution comes to life in the solutions we create together. 

What you'll do: 

We’re looking for engineering professionals skilled in software development and automation combined with experience working in the area of developer enablement to bring new ideas, optimizations, and best practices to the entire software organization.  As a software engineer focused on tool development and automation, you will work closely with a passionate team of engineers to improve the processes that support the development of high-quality safety-critical software for self-driving vehicles. 

• Scan the landscape of current tools and processes and find ways to enhance our ability to create, test, and deliver high-quality software that supports the autonomous driving system. 
• Design, implement, and maintain scalable software build and delivery solutions, including management of packages, dependencies, and artifacts. 
• Work with cross-functional teams to develop and enforce best practices for software development and quality assurance in compliance with existing standards. 
• Create new tools that benefit the company, emphasizing automation over manual process, integration of systems to enhance business efficiency, and optimizing employee productivity. 

What you’ll need to Succeed: 

•  Degree(s) in Engineering, Computer Science, or a related technical field with relevant experience as specified below:
  • M.S. with 0-3+ years of experience ORB.S. with 4+ years of experience
• Proficiency in advanced build systems (Bazel, BuildBarn).
• Proficiency in Linux platforms (Ubuntu, Centos).
• Proficiency in high-level and scripting languages (C++, Python, bash, groovy).
• Proficiency in version control systems (Git).
• Continuous integration/Continuous delivery concepts and tools.
• Strong ideation skills, creativity, and proactive problem solving.
• Troubleshooting skills (real-time and in-depth analysis).
• Test automation principles and design.
• Performance metrics and analysis.

Bonus Points! 

• Proficiency with static analysis tools (Cppcheck, Clang-Tidy).
• Experience working with cloud infrastructure at scale (AWS, Azure, GCP).  
• Containerization and container orchestration (Docker, Kubernetes).
• Configuration management, Infrastructure as Code (Ansible, Terraform).

Perks of Being a Full-time Torc’r

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:  

• A competitive compensation package that includes a bonus component and stock options
• 100% paid medical, dental, and vision premiums for full-time employees  
• 401K plan with a 6% employer match
• Flexibility in schedule and generous paid vacation (available immediately after start date)
• Company-wide holiday office closures
• AD+D and Life Insurance 

About the Role:

At Tubi, data plays a vital role in keeping viewers engaged and the business thriving. Every day, data engineering pipelines analyze the massive amount of data generated by millions of viewers, turning it into actionable insights. In addition to processing TBs a day of 1st party user activity data, we manage a petabyte scale data lake and data warehouses that several hundred consumers use daily. We have two openings on two different teams.

Core Data Engineering (1):In this role, you will join a team focused on Core Data Engineering, helping build and analyze business-critical datasets that fuel Tubi's success as a leading streaming platform.

• Use SQL and SQL modeling to interact with and create massive sets of data
• Use DBT and its semantic modeling concept to build production data models
• Use Databricks as a data warehouse and computing platform
• Use Python/Scala in notebooks to interact with and create large datasets

Streaming Analytics (1):In this role you will join a small and nimble team focused on Streaming Analytics that power our core and critical datasets for machine learning, helping improve the data quality that fuels Tubi's success as a leading streaming platform.

• Use SQL to explore and analyze the data quality of our most critical datasets, working with different technical stakeholders across ML & data science 
• Work with engineers to implement a near-time data quality dashboard
• Use Python/Scala in notebooks to transform and explore large datasets
• Use tools like Airflow for workflow management and Terraform for cloud infrastructure automation

Qualifications: 

• Fluency (intermediate) in one major programming language (preferably Python, Scala, or Java) and SQL (any variant)
• Familiar with big data technologies (e.g., Apache Spark, Kafka) is a plus
• Strong communication skills and a desire to learn!

Program Eligibility Requirements:

• Must be actively enrolled in an accredited college or university and pursuing an undergraduate or graduate degree during the length of the program
• Current class standing of sophomore (second-year college student) or above
• Strong academic record (minimum cumulative 3.0 GPA)
• Committed and available to work for the entire length of the program

About the Program:

• Application Deadline: April 19, 2024 
• Program Timeline: 10-week placement beginning on6/17
• Weekly Hours: Up to 40 hours per week (5 days)
• Worksite:  Remote or Hybrid (SF or LA)

LivePerson (NASDAQ: LPSN) is the global leader in enterprise conversations. Hundreds of the world’s leading brands — including HSBC, Chipotle, and Virgin Media — use our award-winning Conversational Cloud platform to connect with millions of consumers. We power nearly a billion conversational interactions every month, providing a uniquely rich data set and safety tools to unlock the power of Conversational AI for better customer experiences.  

At LivePerson, we foster an inclusive workplace culture that encourages meaningful connection, collaboration, and innovation. Everyone is invited to ask questions, actively seek new ways to achieve success and reach their full potential. We are continually looking for ways to improve our products and make things better. This means spotting opportunities, solving ambiguities, and seeking effective solutions to the problems our customers care about. 

Overview:

The Cloud devops team at Liveperson is looking for a talented Junior DevOps engineer: a candidate that takes on challenges, continuously expands his area of expertise and naturally takes ownership of his work. The ideal candidate has some engineering background, an eagerness to follow good practices and a desire to apply his skills in the field of DevOps.

We will provide you the grounds to succeed, an embracing working environment and very complex and interesting technical challenges to solve.

You will: 

• Assist in managing, monitoring, and scaling Kubernetes clusters and Vault infrastructure.
• Help in identifying and resolving issues related to Kubernetes and Vault infrastructure, providing support to the team and end-users.
• Collaborate with other team members, developers, and stakeholders to improve the DevOps processes and infrastructure.
• Continuously learn about new technologies and best practices in DevOps, Kubernetes, and Vault to enhance skills and contribute effectively to the team.
• Help in automating deployment processes, infrastructure provisioning, and configuration management using tools like Ansible, Terraform, or Helm.

You have:

• 1+ years of experience in DevOps - MUST
• Familiar with Docker and Kubernetes
• Familiar with Cloud Platforms (AWS / GCP ) - GCP  advantage.
• Development background is a major advantage
• Basic Linux system knowledge,
• Understanding of basic networking concepts, such as IP addresses, subnet masks, default gateways, DNS,
• Understand the basics of DevOps principles, CI/CD pipelines, containerization (Docker), Kubernetes (K8s), and secrets management (Vault),

Bonus:

• Basic scripting (Bash, Python)
• Terraform, Ansible.

Benefits:

• Health: medical, dental, and vision
• Time away: vacation and holidays
• Development: Generous tuition reimbursement and access to internal professional development resources
• Equal opportunity employer
• #LI-Remote

Why you’ll love working here:

As leaders in enterprise customer conversations, we celebrate diversity, empowering our team to forge impactful conversations globally. LivePerson is a place where uniqueness is embraced, growth is constant, and everyone is empowered to create their own success. And, we're very proud to have earned recognition from Fast Company, Newsweek, and BuiltIn for being a top innovative, beloved, and remote-friendly workplace. 

Belonging at LivePerson:

We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.

We are committed to the accessibility needs of applicants and employees. We provide reasonable accommodations to job applicants with physical or mental disabilities. Applicants with a disability who require reasonable accommodation for any part of the application or hiring process should inform their recruiting contact upon initial connection.