Machine Learning Engineer

Key Skills

AI technology, Effective communication skills, Machine learning techniques, Python Programming, PyTorch, Scikit-learn, SQL, Tableau, TensorFlow

Job Description

Who We Are

Arrive Logistics is one of the fastest-growing freight brokerage firms in the US, with over $2 billion in annual revenue and plans to grow significantly year over year. Our success is a testament to our remarkable team and what we’re building together. We’re committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual and collaborative environment. There’s never been a more exciting time to get on board, so read on to learn more and apply today!

Who We Want

As a Machine Learning Engineer at Arrive Logistics, you’ll play a key role in delivering highly impactful and revenue-generating data products, insights, and capabilities of our Data and Machine Learning Platform. You’ll work closely with Data Scientists to understand current points of friction in the machine learning lifecycle development process and requirements for the systems surrounding the models they’ve developed. You’ll partner with Data Engineers to define and build platform-level capabilities and infrastructure supporting Data Science and set standards for how we test, run, and monitor machine learning models in production. You’ll work with Application and Platform Engineers to adopt and expand on existing Software Engineering and DevOps practices used to deploy our models to production.

You’ll sit within the Data Organization supporting internal technology powering Arrive Logistics in the fast-paced freight industry. If you’re looking to influence data-driven decision making and automated machine learning systems alongside industry experts and a passionate, supportive team, read on.

What You’ll Do

• Work with a team of Machine Learning Engineers to execute on roadmap items and strategic initiatives for Machine Learning Platform components and capabilities
• Deploy and monitor infrastructure supporting our machine learning model deployments and development environments
• Build batch and real-time pipelines for feature engineering and understand when to use each implementation
• Facilitate machine learning model deployments through different environments and coordinate dependencies across Data Science, Data Engineering, and Product Engineering teams
• Implement and document team standards and machine learning operations (MLOps) best practices that have a broad impact on Data and Engineering teams
• Execute on strategies for reducing the gap between building models in a development environment and running them in production
• Implement monitoring and alerting frameworks to ensure data quality in our feature engineering pipelines and machine learning deployments
• Develop Python libraries, functions, and other shared components that enable easier sharing of resources across many Data Science teammates and machine learning models

Qualifications

• 2+ years of experience in a data engineering, software engineering, DevOps, or similar role
• 2+ years of experience developing in Python and SQL
• 1+ years of experience working on or supporting data science projects
• Understanding of data science terminology and the ability to communicate with Data Scientists on highly technical machine learning projects
• Understanding of the machine learning lifecycle development and deployment process
• Experience managing infrastructure of machine learning platforms or systems running operational machine learning models
• Understanding of common data architectures, processes, and paradigms such as data warehousing/modeling, ETL/ELT, feature engineering, batch vs streaming pipelines
• Ability to articulate, diagram, and document technical data science and engineering concepts 
• Experience with industry-standard Data and Machine Learning Platform technologies such as data warehouses, workflow orchestration platforms, database replication platforms, data quality frameworks, feature stores, data science notebooking tools, etc.
• Experience or familiarity working in agile frameworks

The Perks of Working With Us

• Competitive compensation packages
• Take advantage of excellent benefits, including health, dental, vision and life insurance
• Matching 401(k) plan and vesting opportunities 
• Generous vacation plans
• Build relationships and find your home at Arrive through our Employee Resource Groups.
• Professional development and leadership programs
• Investments in your health, including an on-site gym and access to Calm and Class Pass
• Employee Referral bonus program
• Free lunch on Mondays and Fridays
• Leave the suit and tie at home; our dress code is casual
• Park your car for free on site!
• On-site coffee bar - Broker’s Brew
• Relocation assistance no matter where you’re moving from