Responsibilities:

• Create and maintain predictive models applied to our customer datasets Engineer features that aid in our understanding of tire dynamics and their usage by customers Design metrics and tests to judge the quality and performance of our machine learning models Work closely with our firmware and hardware teams to efficiently pre-process data on the edge Collaborate with data engineering teams to create scalable processing pipelines Guide our data collection team on acquiring data for in-house tire/vehicle models Work with external tire laboratories and manufacturers to design data collection tests

Responsibilities:

• Ensure that our product is meeting key customer requirements

• Drive product adoption and ongoing usage of Revvo

• Engage with business champions to thoughtfully help them identify new opportunities leveraging our platform

• Become an expert on the Revvo platform and integrations, while keeping up with industry trends in mobility, data, and analytics

• Assist and support sales process, pipeline, and deployment of Revvo products

Responsibilities:

• Own the success of our customers, ensuring they realize the full value of Revvo

• Drive product adoption and ongoing usage of Revvo

• Engage with business champions to thoughtfully help them identify new opportunities leveraging our platform

• Communicate product opportunities and technical overviews to build solutions across engineering, marketing, product and support teams

• Become an expert on the Revvo platform and integrations, while keeping up with industry trends in mobility, data, and analytics Assist and support sales process, pipeline, and deployment of Revvo products

Benefits:

• Competitive salary and equity

• Medical, dental, vision plans

• Open vacation policy

• Free lunch

• Healthy snacks and drinks Access to onsite gym

Benefits:

• Competitive salary and equity

• Medical, dental, vision plans

• Open vacation policy

• Free lunch

• Healthy snacks and drinks Access to onsite gym

Benefits:

• Competitive salary and equity

• Medical, dental, vision plans

• Open vacation policy

• Free lunch

• Healthy snacks and drinks Access to onsite gym

Benefits:

• Competitive salary and equity

• Medical, dental, vision plans

• Open vacation policy

• Free lunch

• Healthy snacks and drinks Access to onsite gym

Benefits:

• Competitive salary and equity

• Medical, dental, vision plans

• Open vacation policy

• Free lunch

• Healthy snacks and drinks Access to onsite gym

Benefits:

• Competitive salary and equity

• Medical, dental, vision plans

• Open vacation policy

• Free lunch

• Healthy snacks and drinks Access to onsite gym

Benefits:

• Competitive salary and equity

• Medical, dental, vision plans

• Open vacation policy

• Free lunch

• Healthy snacks and drinks Access to onsite gym

Benefits:

• Unlimited PTO

• Free lunch at the office

• Medical

• Dental

• Vision

Experience Requirements:

• 5-8 years of professional experience

Other Requirements:

• Ability to manage, motivate and nurture employees

• High levels of operational process and task execution competence with organized and hands-on approach

• Detail oriented with great communication skills and tech savvy

Responsibilities:

• Supervise and help scale the team of 15 data annotators

• Establish a team culture, nurture employees and scout for future hires

• Devise performance benchmarks and help the team hit those benchmarks

• Set up weekly and monthly reporting and tracking

Education Requirements:

• Bachelor’s Degree in Computer Science or related field and/or will consider 3+ years of professional experience

Experience Requirements:

• Extensive knowledge of C# and .NET

• Experience building RESTful APIs

• Experience with SQL and NoSQL databases

• Experience with Python

Responsibilities:

• Implementing backend algorithms

• Improving the performance and stability of the system

• Implementing features for a cloud environment

• Works with other departments to participate in specification, design, code, and test reviews

• Evaluate problems to develop solutions relating to computer software Fix bugs and support application users Improves existing programs by analyzing and identifying areas for alteration Interfaces with users to define system requirements and/or necessary alterations Contributes to project planning and project management Interacts with all internal and external sources necessary to successfully complete assignments Create and present findings, solutions, and demos Performs other duties as assigned

Experience Requirements:

• 2+ years experience with Python

• Experience with Airflow or similar orchestration engines

Responsibilities:

• Supporting our customers build their data pipelines using Practicus AI

Experience Requirements:

• 2+ years experience building applications with impressive user experiences

• 2+ years of Python experience for both QT and Django roles

• For Django only: HTML, Javascript, CSS experience

Responsibilities:

• Building our QT based App forWindows, macOS and Linux

• OR Building our Django based web application

Experience Requirements:

• 5+ years experience in building distributed backend systems

• 2+ years Big data experience

• 2+ years Python experience

Responsibilities:

• This is an umbrella role for different types of backend applications including;

• Our macOS, Windows and Linux applications

• Micro services development for our web applications

Experience Requirements:

• 2+ years experience with real life classic Machine Learning experimentation

• Production grade modeling experience

Responsibilities:

• Supporting our customers with their data science experimentations

• Delivering 100 level introduction to Data Scince training

Experience Requirements:

• 3+ years experience working with Unix Linux systems from kernel to shell and beyond

• 3+ scripting experience in Shell and Python

• 2+ years of Kubernetes experience

Responsibilities:

• Create, manage and integrate software to automate and secure Kubernetes environments

• Develop solutions that can support large capacity and scale reliably, in a 24/7 environment

• Collaborate with the Information Security and Software development teams to support operational capabilities

Benefits:

• Private Health Insurance

• Company Equity

• Weekly Office Events - Catered Lunch and Breakfast

• Stocked Kitchen

• Company Outings & Quarterly Events Hybrid Working Meal Coupons - Monthly LinkedIn Learning & Training Opportunities/Budget Mental Health Benefits - Wellness Coach App Subscription Great office location in the city center - Parking slots available Gym Subscription - UP Fit Quarterly Charitable Giving Allowance Peer recognition Allowance

Education Requirements:

• Bachelor's degree or higher in Computer Science, Engineering, or a related field.

Experience Requirements:

• Three (3+) or more years of experience working as a machine learning engineer or similar related engineer role.

Responsibilities:

• Develop and implement AI/ML solutions aligned with company goals.

• Lead the research, development, and deployment of AI/ML models using Python, LangChain, LLMs, and HuggingFace transformers, as well as libraries for Deep Learning (e.g., Pytorch, Tensorflow), ML libraries (e.g., XGBoost, Scikit-learn) and NLP (e.g., spaCy, NLTK).

• Fine-tune existing models and/or create new models from scratch to enhance business processes and outcomes.

• Collaborate cross-functionally with teams to identify opportunities for AI/ML integration and optimization.

• Stay abreast of industry trends and advancements to ensure our AI initiatives remain innovative and impactful.

Education Requirements:

• Bachelor’s degree is required, MBA preferred.

Experience Requirements:

• 15+ years of experience in cybersecurity, information security, or risk management, with at least 5+ years in a leadership role within information security services.

• 3+ years managing a business, preferably with P&L responsibility, and proven track record for overseeing financial performance, identifying areas for improvement, and driving profitability and growth.

• Proven ability to build and scale cybersecurity service offerings in a consulting, technology services, or enterprise environment.

Responsibilities:

• Building and running Toptal’s Cyber and Information Security Services practice.

• Defining which clients and buyers do we target and what problems do we help them solve.

• Developing attractive, scalable offerings that resonate with specific customer segments.

• Taking services and offerings to market.

• Developing thought leadership and campaigns that highlight our competitive differentiation, elevate our reputation in the market, attract great talent to our network, and generate leads for sales.