You will:

You will collaborate with researchers to perform research operations using existing infrastructure. You will use your judgment in complex scenarios and help apply standard techniques to a wide variety of technical problems. Specifically, you will:

• Characterize neural network quality, failure modes, and edge cases based on research data
• Maintain awareness of current trends in relevant areas of research and technology
• Coordinate with researchers and accurately convey status of experiments
• Manage a large number of concurrent experiments and make accurate time estimates with respect to deadlines
• Review experimental results and suggest theoretical or process improvements for future iterations
• Write technical reports indicating qualitative and quantitative results to external parties

You have:

• A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it!
• Proficiency in Python
• Proven ability to thrive in fast-paced environment
• Ability to communicate complex technical concepts to colleagues and a variety of audience
• Introspection, thoughtfulness, and detail-orientation

The following are a plus, but not required:

• Master’s or Ph.D. in a related field and/or 3+ years of experience in a directly related field
• Experience reading research papers and implementing the techniques therein
• Computer vision and deep learning experience

You will:

You will work collaboratively to improve our models and iterate on novel research directions, sometimes in just days. We're looking for talented engineers who'd enjoy applying their skills to deeply complex and novel AI problems. Here, you will:

• Apply and extend the Helm proprietary algorithmic toolkit for unsupervised learning and perception problems at scale
• Carefully execute development and maintenance of tools used for deep learning experiments designed to provide new functionality for customers or address relevant corner cases in the system as a whole
• Work closely with software and autonomous vehicle engineers to deploy algorithms on internal and customer vehicle platforms

You have:

• A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it!
• Comfort operating in a fast-paced environment to deliver customer projects
• Introspection, thoughtfulness, and detail-orientation
• Experience working with neural networks, Tensorflow and/or PyTorch
• Fluency in Python and working knowledge of C/C++ programing
• A strong interest in unsupervised learning, computer vision, and/or the autonomous vehicle industry
• Master’s or Ph.D. in a related field and/or 5+ years of experience in a related field

You have:

• 7+ years experience building and shipping production-quality software, with a focus in Linux based environments
• Proficiency with modern C++ (11, 14, 17) and Python 3
• Experience with building frameworks and infrastructure for large scale projects
• A high standard and commitment to quality by designing for maintainability, testability and efficiency

The following are not required, but a plus:

• Experience with ROS or other robotics middleware
• Experience with motion planning or control systems
• Experience developing safety-critical code (e.g. aerospace, medical devices)
• Experience developing performant software with significant latency constraints (e.g. aerospace, robotics, gaming, high-frequency trading)

You will:

• Work with the Platform team to build highly impactful development tools and systems for all engineers at the company.
• Improve engineering and research productivity by creating efficient systems for building, testing, and deploying code and ML pipelines (CI/CD and MLOps).
• Optimize the runtime environment for ML training in the cloud and real-time processing of vehicle data on the road.
• Ensure that our ML models and SDK are thoroughly tested and can be shipped to customers in a reliable, reproducible, and scalable way.

You have:

• A proven track record of working with at least one backend programming language, e.g. C++, Java, Python, Go, etc.
• Worked with modern CI/CD and build systems, e.g. Bazel, Docker, GitHub Actions, etc.
• The ability to work in a fast-paced environment to deliver customer projects.
• An attention for detail and desire to take initiative in ambiguous situations.
• A desire to be a champion for maintaining healthy code and best practices.

You will:

• Build mission-critical tools for improving observability and scaling the entire machine learning process.
• Use modern technologies to serve huge amounts of data, visualize key metrics, manage our data inventory, trigger backend data processing pipelines, and more.
• Work closely with people across the company to create a seamless UI experience.

You have:

• At least 4 years of industry experience creating full-stack web applications in a production environment.
• Is fluent in JavaScript, HTML, CSS, and a backend programming language (e.g. C++, Java, Python, Go, etc).
• Is proficient with at least one mainstream front-end framework (e.g. React, Angular, etc).
• Experienced with creating backend APIs (e.g. REST, RPC, OpenAPI, etc). Familiarity with gRPC is a plus.

You will:

• Invoice Processing: Review, verify, and code incoming vendor invoices, ensuring accuracy and adherence to company policies and procedures.
• Data Entry: Enter invoice details into the accounting system accurately and promptly to facilitate payment processing.
• Vendor Communication: Collaborate with vendors to resolve discrepancies, address inquiries, and ensure proper documentation is received for invoice validation.
• Purchase Orders: Match invoices with corresponding purchase orders and receipts to validate the accuracy of the charges.
• Payment Processing: Prepare and process payment runs, including checks, ACH transfers, and electronic payments, while adhering to established payment schedules.
• Expense Coding: Allocate expenses to appropriate cost centers or general ledger accounts for accurate financial reporting.
• Reconciliation: Regularly reconcile accounts payable transactions to ensure accurate balances and resolve any discrepancies.
• Month-end Closing: Assist in month-end closing activities, including accruals, adjustments, and reporting tasks related to accounts payable.
• Vendor Relationship Management: Build and maintain positive relationships with vendors, ensuring timely and accurate resolution of issues.
• Compliance: Ensure compliance with company policies, regulatory requirements, and accounting standards in all accounts payable processes.
• Process Improvement: Identify opportunities to streamline accounts payable processes and contribute to continuous improvement initiatives within the finance team.

You have:

• Bachelor's Degree in Business Administration or related field.
• Minimum of 5 years of relevant experience in accounts payable.
• Candidates with a CPA preferred
• Strong understanding of accounting principles and practices.
• Proficiency in using accounting software and MS Office applications, particularly Excel.
• Excellent attention to detail and accuracy.
• Comp: 60-80K Depending on Experience.

You will:

• Work with leading automotive OEMs on next-generation autonomous driving applications
• Drive OEM proof-of-concept vehicle integration projects
• Collaborate closely with perception, sensor, and autonomous vehicle engineers to create best in class autonomous driving stack for L2+, L3, and L4 applications
• Guide system architecture and designs of Helm.ai’s real-time autonomous driving stack compatible with multiple hardware platforms
• Lead Helm.ai technical collaboration with hardware and sensor partners
• Provide guidance for effective validation of autonomous driving stack at scale
• Work with the production engineering team to prepare Helm.ai autonomous stack for mass deployment onto fleets of consumer vehicles

You have:

• Deep prior experience with leading real-time applications or real-time operating system design and development
• Experience shipping real-time safety critical applications in production to customers at scale
• Proficiency in C++ and familiarity with Python
• Professional experience with embedded microcontrollers and microprocessors (e.g. ARM, PowerPC)
• BS/MS degree in electrical engineering or computer science or equivalent hands-on experience
• Industry experience with TCP/IP networking