About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint. 

Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

This role is crucial for maintaining the continuous accuracy and completeness of our customers' digital footprint data. The position demands an in-depth understanding of networking protocols such as TCP/IP, DNS, BGP, SSL and an understanding of the fundamentals of how the Internet works. Responsibilities include validating the attribution of digital assets, managing asset claims, addressing inaccuracies, and promptly updating the digital footprint as necessary. The ideal candidate will have a background in researching, designing and deploying Internet facing technologies, preferably in telcos. The candidate will proactively identify and resolve discrepancies and identify directional innovations to the digital attribution system. This role requires a proactive approach and a deep understanding of how digital assets are managed and assigned by Telcos/ISPs.

Job Responsibilities:

• Validate and Maintain Digital Footprint data:Regularly review and validate the accuracy of how digital assets are attributed to organizations. Ensure that all internet-facing assets are correctly attributed and reflect the current status.
  
• Asset Management & Discovery: Research and design new methods to correctly discover and attribute digital assets to organizations. You will also work with key stakeholders to understand customer needs and the nuances on how their organization is reflected on the Internet.
  
• Issue Resolution:Address and resolve issues found within the digital footprint, such as misattributions or outdated information. Work closely with the cybersecurity team to understand the impact of these issues on security ratings.
  
• Collaboration and Reporting: Work collaboratively with technical and non-technical teams to gather asset data, clarify asset status, and report on footprint changes and their impacts. Provide insights and recommendations based on digital footprint analysis.
  
• Continuous Improvement: Contribute to the improvement of methodologies for digital footprint analysis and management. Participate in the development of new tools and processes to enhance the team’s capabilities. As well as keeping an eye on associated engineering costs. 

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Cybersecurity, or a related field.
• 2+ years of experience in cybersecurity, IT asset management, or a related field.
• Familiarity with the various internet registries such as ARIN, RIPE NCC, APNIC, etc 
• Strong understanding of network infrastructure, BGP, DNS, WHOIS, and IP management.
• Proficient in data analysis and capable of interpreting complex data related to network security.
• Experience with cybersecurity tools and platforms, especially those related to asset management and network scanning.
• Strong problem-solving skills and the ability to operate effectively under tight deadlines.
• Experience with distributed data processing frameworks (Spark and or Flink)
• Proficient in Scala, Python or Golang
• Experience with various data formats
  
  

Preferred Qualifications:

• Certifications such as CISSP, CISM, or related credentials.
• Experience with scripting languages for data manipulation and automation.
• Knowledge of regulatory compliance standards relevant to cybersecurity and data protection.
  
  

Additional Skills:

• Excellent communication skills, both written and verbal.
• Strong organizational skills with the ability to manage multiple priorities.
• Proactive attitude and a strong team player.
• Experience with Kafka

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated salary range for this position is $225,000-240,000. Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits. 

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law. 

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law. 

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position. 

UK Remote or Belfast

Serial tech entrepreneur Ilir Sela started Slice in 2010 with the belief that local pizzerias deserve all of the advantages of major franchises without compromising their independence. Starting with his family’s pizzerias, we now empower over 18,000 restaurants (that’s nearly triple Domino’s U.S. network!) with the technology, services, and collective power that owners need to better serve their digitally minded customers and build lasting businesses. We’re growing and adding more talent to help fulfil this valuable mission. That’s where you come in.

The Challenge to Solve

Provide Slice with up to date data to grow the business and to empower independent pizzeria owners to make the best data driven decisions through insights that ensure future success.

The Role

You will be responsible for leading data modelling and dataset development across the team. You’ll be at the forefront of our data strategy. Partnering closely with business and product teams,  to fuel data-driven decisions throughout the company. Your leadership will guide our data architecture expansion, ensuring smooth data delivery and maintaining top-notch data quality. Drawing on your expertise, you’ll steer our tech choices and keep us at the cutting edge of the field. You’ll get to code daily and provide your insights into best practices to the rest of the team.

The Team

You’ll work with a team of skilled data engineers daily, providing your expertise to their reviews, as well as working on your own exciting projects with teams across the business. You’ll have a high degree of autonomy and the chance to impact many areas of the business. You will optimise data flow and collection for cross-functional teams and support software developers, business intelligence, and data scientists on data initiatives using this to help to support product launches and supporting Marketing efforts to grow the business. This role reports to the Director of Data Engineering.

The Winning Recipe

We’re looking for creative, entrepreneurial engineers who are excited to build world-class products for small business counters. These are the core competencies this role calls for:

• Strong track record of designing and implementing modern cloud data processing architectures using programming languages such as Java, Scala, or Python and technologies like Spark
• Expert-level SQL skills
• Extensive experience in data modelling and design, building out the right structures to deliver for various business and product domains
• Strong analytical abilities and a history of using data to identify opportunities for improvement and where data can help drive the business towards its goals
• Experience with message queuing, stream processing using frameworks such as Flink or KStreams and highly scalable big data data stores, as well as storage and query pattern design with NoSQL stores
• Proven leadership skills, with a track record of successfully leading complex engineering projects and mentoring junior engineers, as well as working with cross-functional teams and external stakeholders in a dynamic environment
• Familiarity with serverless technologies and the ability to design and implement scalable and cost-effective data processing architectures

The Extras

Working at Slice comes with a comprehensive set of benefits, but here are some of the unexpected highlights:

• Access to medical, dental, and vision plans
• Flexible working hours
• Generous time off policies
• Annual conference attendance and training/development budget
• Market leading maternity and paternity schemes
• Discounts for local pizzerias (of course)

The Hiring Process

Here’s what we expect the hiring process for this role to be, should all go well with your candidacy. This entire process is expected to take 1-3 weeks to complete and you’d be expected to start on a specific date.

1. 30 minute introductory meeting
2. 30 minute hiring manager meeting
3. 60 minute pairing interview
4. 45 minute interview interview
5. 30 minute CTO interview
6. Offer!

Pizza brings people together. Slice is no different. We’re an Equal Opportunity Employer and embrace a diversity of backgrounds, cultures, and perspectives. We do not discriminate on the basis of race, colour, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. We are also proud members of the Diversity Mark NI initiative as a Bronze Member.

Privacy Notice Statement of Acknowledgment

When you apply for a job on this site, the personal data contained in your application will be collected by Slice. Slice is keeping your data safe and secure. Once we have received your personal data, we put in place reasonable and appropriate measures and controls to prevent any accidental or unlawful destruction, loss, alteration, or unauthorised access. If selected, we will process your personal data for hiring /employment processes, as well as our legal obligations. If you are not selected for the job position and you have given consent on the question below (by selecting "Give consent") we will store and process your personal data and submitted documents (CV) to consider eligibility for employment up to 365 days (one year). You have the right to withdraw your previously given consent for storing your personal data and CV in the Slice database considering eligibility for employment for a year. You have the right to withdraw your consent at any time.For additional information and / or exercise of your rights to the protection of personal data, you can contact our Data Protection Officer, e-mail:privacy@slicelife.com

About the Company

Gemini is a global crypto and Web3 platform founded by Tyler Winklevoss and Cameron Winklevoss in 2014. Gemini offers a wide range of crypto products and services for individuals and institutions in over 70 countries.

Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we help you buy, sell, and store your bitcoin and cryptocurrency. 

At Gemini, our mission is to unlock the next era of financial, creative, and personal freedom.

In the United States, we have a flexible hybrid work policy for employees who live within 30 miles of our office headquartered in New York City and our office in Seattle. Employees within the New York and Seattle metropolitan areas are expected to work from the designated office twice a week, unless there is a job-specific requirement to be in the office every workday. Employees outside of these areas are considered part of our remote-first workforce. We believe our hybrid approach for those near our NYC and Seattle offices increases productivity through more in-person collaboration where possible.

The Department: Service Fundamentals (Compliance)

The Role: Software Engineer

Responsibilities:

• Develop new products and product features on the Gemini platform, as part of a tight knit team of seven to eight developers.
• Write automated tests to ensure the operation and correctness of new product features.
• Provide technical input and knowledge to the planning, design, and requirements process for new products and features.
• Review other software engineers’ code for correctness, style, and information security concerns.
• Improve the performance, maintainability, and operations of the Gemini codebase by engaging in occasional refactoring and upgrade projects.
• Support your team’s production software by responding to an occasional alert or bug report.

Minimum Qualifications:

• At least 2+ years of software engineering experience.
• Proficiency with the JVM (Scala preferred).
• The ability to adapt and handle multiple competing priorities in collaboration with peers.
• A customer and product-focused mindset, with the ability to make well-reasoned tradeoffs between speed and quality.
• A proven track record of working with distributed systems.
• Familiarity writing highly observable, well monitored code.

Preferred Qualifications:

• Familiarity with AWS cloud infrastructure.
• Interest in working with Functional Programming paradigms.
• Prior experience working with gRPC and/or protobuf.

• Competitive starting salary
• A discretionary annual bonus
• Long-term incentive in the form of a new hire equity grant
• Comprehensive health plans
• 401K with company matching
• Paid Parental Leave
• Flexible time off

Salary Range: The base salary range for this role is between $120,000 - $150,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

There is only one Data Cloud. Snowflake’s founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn’t stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow. 

Our Sales Engineering organization is seeking a Principal Data Platform Architect focused in Data Apps to join our Field CTO Office who can provide leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall ecosystem.

In this role you will work with sales teams, product management, and technology partners to leverage best practices and reference architectures highlighting Snowflake’s Cloud Data Platform as a core technology enabling platform for the emerging Data Application workload throughout an organization.

As a Principal Data Platform Architect focused in Data Apps, you must share our passion and vision in helping our customers and partners drive faster time to insight through Snowflake’s Cloud Data Platform, thrive in a dynamic environment, and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences. 

IN THIS ROLE YOU WILL GET TO: 

• Apply your data application architecture expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners
• Work with our product management, partners, and sales teams in order to drive innovation in our Cloud Data Platform 
• Partner with sales team and channel partners to understand the needs of our customers,  strategize on how to navigate and accelerate winning sales cycles, provide compelling value-based enterprise architecture deliverables and working sessions to ensure customers are set up for success operationally, and support strategic enterprise pilots / proof-of-concepts 
• Collaborate closely with our Product team to effectively influence the Cloud Data Platform product roadmaps based on field team and customer feedback
• Partner with Product Marketing teams to  spread awareness and support pipeline building via customer roundtables,  conferences, events, blogs, webinars, and whitepapers
• Contribute to the creation of reference architectures, blueprints, best practices, etc. based on field experience to continue to up-level and enable our internal stakeholders and Snowflake Powered by Program

ON DAY ONE, WE WILL EXPECT YOU TO HAVE: 

• 10+ years of full stack application architecture experience with a deep understanding of how to scale applications with large data sets
• 3+ years of Cloud Provider (AWS, Azure, GCP) customer facing application development experience
• 1+ years of Snowflake experience
• 2+ years of experience in building/utilizing various data connectivity tools like connectors & drivers which enable access to a library of data sources.
• Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
• Broad range of experience with on-prem and/or cloud databases
• Experience with decomposing application components and determining how to leverage various technologies found with modern cloud services.
• Knowledge of SQL, and Javascript, Python, Java, Scala, Go, Ruby or other languages
• Knowledge of platform and container technologies, including Docker, Kubernetes, or Infrastructure as Code (IaC)
• Knowledge of data formats or languages that manage data, including SQL, JSON, AVRO, Apache Parquet or XML
• Experience with Open Data table formats like Iceberg and data processing engine like Spark is a plus.
• Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred 

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. 

How do you want to make your impact?

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

EquipmentShare is Hiring a Senior MLOps Engineer.

EquipmentShare is searching for a Senior MLOps Engineer for a remote opportunity supporting the Data Platform team as it continues to grow.  

Primary Responsibilities

• Collaborate with scientists and data engineers to design, develop, and deploy scalable ML models and pipelines
• Work with scientists to build and maintain end-to-end ML pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment.
• Automate continuous integration and continuous deployment (CI/CD) pipelines for scientists to self-service model and feature deployment
• Develop monitoring and logging solutions to track model performance, data quality, and system health in production environments
• Work with Scientists to optimize ML workflows for efficiency, scalability, and cost-effectiveness.
• Automate infrastructure provisioning, configuration management, and resource scaling using infrastructure-as-code (IaC) tools
• Troubleshoot issues related to data, models, infrastructure, and deployments in production environments
• Mentor junior members of the Data Platform team and provide technical guidance and best practices
• Stay updated on the latest advancements and trends in MLOps, machine learning, and cloud technologies

Why We’re a Better Place to Work

• Competitive salary.
• Medical, Dental and Vision coverage for full-time employees.
• 401(k) and company match.
• Unlimited paid time off (PTO) plus company paid holidays.
• Generous paid parental leave
• State of the art onsite gym (Corporate HQ) with instructor led-courses/Gym stipend for remote employees.
• Seasonal and year round wellness challenges.
• Company sponsored events (annual family gatherings, happy hours and more).
• Volunteering and local charity initiatives that help you nurture and grow the communities you call home. Employees receive 16 hours of paid volunteer time per year. 
• Opportunities for career and professional development with conferences, events, seminars and continued education. 

About You 

Our mission to change an entire industry is not easily achieved, so we only hire people who are inspired by the goal and up for the challenge. In turn, our employees have every opportunity to grow with us, achieve personal and professional success and enjoy making a tangible difference in an industry that’s long been resistant to change. 

Skills & Qualifications 

• Bachelor’s or Master’s degree, or equivalent practical experience, in computer science, machine learning, software engineering, data engineering, DevOps, or related field
• 5+ years of experience working in MLOps, machine learning engineering, software engineering, data engineering, DevOps, or related roles
• Demonstrated knowledge and experience in building a modern data science, experimentation and machine learning technology stack for a data-driven company
• Proficiency in programming languages such as Python, Java, or Scala
• Strong understanding of cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes)
• Knowledge of DevOps practices, including infrastructure automation, configuration management, and monitoring
• Excellent problem-solving skills and attention to detail
• Effective communication and collaboration skills, with the ability to work in a fast-paced, team-oriented environment
• Experience with version control systems (e.g., Git) and CI/CD tools (e.g., Jenkins, GitLab CI/CD)
• Experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with Snowflake is preferred but not required
• Must be qualified to work in the United States or the United Kingdom - we are not sponsoring any candidates at this time

EquipmentShare is committed to a diverse and inclusive workplace. EquipmentShare is an equal opportunity
employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation,
protected veteran status, disability, age, or other legally protected status.

#LI-Remote

Who Are You

We are seeking a highly skilled and experienced ML Platform Architect to join our dynamic and growing data platform team. As an ML Platform Architect, you will play a crucial role in strengthening and expanding the core of our data products. We want you to help us scale our business, to data-driven decisions, and to contribute to our overall data strategy. You will work alongside talented data platform engineers to envision how all the data elements from multiple sources should fit together and then execute that plan. The ideal candidate must: 

• Effectively communicate complex data problems by tailoring the message to the audience and presenting it clearly and concisely. 
• Balance multiple perspectives, disagree, and commit when necessary to move key company decisions and critical priorities forward.
• Have a profound comprehension of data quality, governance, and analytics.
• Have the ability to work independently in a dynamic environment and proactively approach problem-solving.
• Be committed to driving positive business outcomes through expert data handling and analysis.
• Be an example for fellow engineers by showcasing customer empathy, creativity, curiosity, and tenacity.
• Have strong analytical and problem-solving skills, with the ability to innovate and adapt to fast-paced environments.
• Design and build clear, understandable, simple, clean, and scalable solutions.

What You'll Do

• Modernize Signifyd’s Machine Learning (ML) Platform to scale for resiliency, performance, and operational excellence working closely with Engineering and Data Science teams across Signifyd’s R&D group.
• Create and deliver a technology roadmap focused on advancing our data processing capabilities, which will support the evolution of our real-time data processing and analysis capabilities.
• Work alongside ML Engineers, Data Scientists, and other Software Engineers to develop innovative big data processing solutions for scaling our core product for eCommerce fraud prevention.
• Take full ownership of significant portions of our data processing products, including collaborating with stakeholders on machine learning models, designing large-scale data processing solutions, creating additional processing facets and mechanisms, and ensuring the support of low-latency, high-quality, high-scale decisioning for Signifyd’s flagship product.
• Architect, deploy, and optimize Databricks solutions on AWS, developing scalable data processing solutions to streamline data operations and enhance data solution deployments.
• Implement data processing solutions using Spark, Java, Python, Databricks, Tecton, and various AWS services (S3, Redshift, EMR, Athena, Glue).
• Mentor and coach fellow engineers on the team, fostering an environment of growth and continuous improvement.
• Identify and address gaps in team capabilities and processes to enhance team efficiency and success.

What You'll Need

• Ideally has over 10 years of experience in data engineering, including at least 5 years of experience as a data or machine learning architect or lead. Have successfully navigated the challenges of working with large-scale data processing systems.
• Deep understanding of data processing, comfortable working with multi-terabyte datasets, and skilled in high-scale data ingestion, transformation, and distributed processing, with strong Apache Spark or Databricks experience.
• Experience in building low-latency, high-availability data stores for use in real-time or near-real-time data processing with programming languages such as Python, Scala, Java, or JavaScript/TypeScript, as well as data retrieval using SQL and NoSQL.
• Hands-on expertise in data technologies with proficiency in technologies such as Spark, Airflow, Databricks, AWS services (SQS, Kinesis, etc.), and Kafka. Understand the trade-offs of various architectural approaches and recommend solutions suited to our needs.
• Experience with the latest technologies and trends in Data, ML, and Cloud platforms.
• Demonstrable ability to lead and mentor engineers, fostering their growth and development. 
• You have successfully partnered with Product, Data Engineering, Data Science and Machine Learning teams on strategic data initiatives.
• Commitment to quality, you take pride in delivering work that excels in data accuracy, performance and reliability, setting a high standard for the team and the organization.

#LI-Remote

Benefits in our US offices:

• Discretionary Time Off Policy (Unlimited!)
• 401K Match
• Stock Options
• Annual Performance Bonus or Commissions
• Paid Parental Leave (12 weeks)
• On-Demand Therapy for all employees & their dependents
• Dedicated learning budget through Learnerbly
• Health Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Account (FSA)
• Short Term and Long Term Disability Insurance
• Life Insurance
• Company Social Events
• Signifyd Swag

We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

About the role:

The Samsara AI team builds end-to-end ML applications to power different product pillars at Samsara. As a Machine Learning Engineer, 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 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: 

• Build and improve the accuracy of ML models, including retraining and optimizing open-source models to solve Samsara-specific problems
• Work with petabyte-scale data from Samsara camera and sensor devices to develop new models
• Optimize models for inference on the backend and/or on edge devices
• Partner with hardware and full-stack teams to deploy model for optimal performance and cost
• Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs.
• Collaborate with PM to translate customer needs to ML solutions
• 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
• Proficiency in one or more common languages (e.g., C++, Golang, Java, Python, Scala) 
• Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch)
• Comfortable with full-stack / backend development code to build a strong understanding of underlying data structures and other dependencies

An ideal candidate also has:

• Experience building, deploying, and optimizing ML models on the edge
• Experience building end-to-end ML applications from scratch 
• Expertise in optimizing distributed model training with GPUs
• Ph.D. in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)

#LI-DNI