Machine Learning Engineer jobs in United States

Loopio is a workplace that unleashes learning & growth opportunities for our Loopers. We provide autonomous, challenging work that allows each employee to master their craft. We attract and retain people who are naturally curious, have grit and are eager to grow and build their careers. At Loopio, we genuinely support each other, because true success comes from working as #oneteam.

We are looking for an experienced Data Engineer to join the Applied Science team within Engineering, building and supporting data that drives analytics for both internal teams and Loopio’s customers. This role focuses on empowering teams with valuable data assets to improve decision‑making productivity, and acts as a reliable foundation for any research and analysis activities. You’ll play a key role in shaping Loopio’s data strategy in a dynamic and evolving technology landscape.

You will partner closely with ML Engineers, Software Developers, Data Scientists, Product Managers, and other business stakeholders to help us take Loopio’s data value to the next level.

This role requires close collaboration with teams across Canada, the UK, and India.

Note: This is an existing vacancy on the team.

• Ownership and Leadership: Act as a glue between stakeholders, engineering teams, and researchers to drive progress on complex, shared initiatives. Be an expert in your area and a go‑to person for data‑related requests and enquiries.

• Scalable Data Platforms & ETL Pipelines: Design, build, and optimize data pipelines to support high‑scale data ingestion, transformation, and storage. Develop efficient ETL workflows using Databricks, Redshift, and various AWS cloud technologies.

• Data Engineering for ML & Analytics: Develop and maintain a feature store to support predictive models, AI‑driven insights, and data science applications. Enable seamless integration of structured (RDS, MySQL) and unstructured (clickstream, logs) data into the data lake / data warehouse / data mart layers.

• Automation & Orchestration: Build robust automation tooling for data orchestration, testing, monitoring, and administration. Leverage workflow orchestration tools (Airflow, Databricks Workflows) to streamline data operations.

• Cloud & Big Data Infrastructure: Architect scalable data solutions leveraging AWS services (S3, Redshift, Lambda, RDS, DMS) and distributed computing frameworks (PySpark, Lambda fleets, etc). Optimize query performance and ensure reliability in high‑volume environments.

• Cross‑Functional Collaboration: Partner with Data Scientists, ML Engineers, and business stakeholders to create AI‑powered insights, drive product improvements, and enable data‑driven decision‑making.

• Data Engineering & Cloud Expertise: 5+ years of experience in data engineering, with hands‑on experience in ETL, data architecture, and cloud‑based data platforms. Strong proficiency in AWS (S3, RDS, Redshift, Glue, IAM, DynamoDB).

• Advanced DB engines expertise & Data Processing: Deep understanding of database design, query optimization, and data modelling. Expertise in distributed data processing frameworks (Spark, Databricks, Presto).

• Software Development & Orchestration: Strong Python and PySpark development skills. Experience with CI/CD pipelines (Jenkins) and data workflow automation (Airflow, Databricks Jobs).

• Scalable Systems & Performance Tuning: Proven ability to build and optimize large‑scale data infrastructure, ensuring low‑latency access, efficient storage, and high reliability.

• Leadership & Collaboration: Strong problem‑solving skills, ability to work in fast‑paced environments, and experience mentoring engineers or driving technical initiatives.

• Loopio is a remote‑first workplace because we recognize the advantages of working flexibly. We are HQ’d in Canada, with established hub regions around the world where we hire from.
• Our employees (or Loopers, as we call ourselves!) live and work in 🇨🇦 Canada (British Columbia and Ontario), 🇬🇧 London, and 🇮🇳 India (specifically in Gujarat, Maharashtra, and Bengaluru).

• The majority of our team is based in ON and BC, which means these employees live and work remotely within a 300km radius of Toronto (within Ontario) and Vancouver (Within BC).
• We offer flexible co‑working locations available to Loopers in ON and BC. Those based in ON have the option of working out of our convenient co‑working space located in the heart of Downtown Toronto and a 12‑minute walk from Union Station. BC Loopers have the option to work centrally in Vancouver. It is whatever works best for you!
• You’ll collaborate with your teams virtually across the UK, India, and North America (we’re just a Zoom call and Slack message away!) with core sync hours and focus time for heads‑down work 🙇🏾 during the workday.
• We encourage asynchronous collaboration to effectively work as a global #OneTeam!

• Your manager supports your development by providing ongoing feedback and regular 1‑on‑1s, we leverage Lattice for our 1:1s and performance conversations.
• You will have the opportunity to elevate 🪄 your craft and the opportunity to explore your creativity, with a dedicated professional mastery allowance for more learning support! We encourage experimentation and innovative thinking to drive business impact.
• We offer a wide range of health and wellness benefits to support your physical and mental well‑being, starting day 1️⃣ with Loopio.
• We’ll set you up to work remotely with a MacBook laptop 🍏, a monthly phone and internet subsidy, and a work‑from‑home budget to help get your home office all set up.

• You’ll be joining a supportive culture that has thoughtfully built out opportunities for connections in a remote first environment.
• Participate in 🎤 townhalls, AMA (Ask‑Me‑Anything), and quarterly celebrations to celebrate the big wins and milestones as #oneteam!

• Our four active Employee Resource Groups offer opportunities for employees to learn and connect year‑round.
• You’ll be a part of an award‑winning workplace 🏆with an opportunity to make a big impact on the business.

Hi there, we recognize that all too often, potential candidates don’t apply for a position simply because they don’t hit every single criteria included in the job description—particularly members of underrepresented groups.

Whether or not your experience ✅ checks off all the boxes on a job posting, we still encourage you to apply to ensure that your application receives a review from our team. We understand that a resume can only showcase so much during the applicant stage, so we've created prompts in the application for you to share more about yourself. If you've made a career transition (or a few!), you’re self‑taught in a new role, or you have skills/experience you’d like to highlight, we want to hear more about what you could bring to the table.

At Loopio, we leverage artificial intelligence (AI) technology to enhance our recruitment process. These tools assist with tasks such as resume screening, drafting preliminary job descriptions, generating initial interview questions, transcription and occasionally sourcing prospective candidates. However, AI is never used to make final hiring decisions; our use of AI serves to support repetitive and administrative tasks in order to streamline our hiring and recruitment workflows. We are committed to the responsible use of AI in our hiring practices, prioritizing both an improved candidate experience and operational efficiency. Our standardized hiring practices remain focused on reducing biases, with all key hiring decisions solely made by our team. We continuously review and refine our hiring practices to align with industry best practices and evolving legal guidelines.

Loopio is an equal opportunity employer that is deeply committed to building equitable workplaces that are diverse and inclusive. We actively encourage candidates from all backgrounds and lifestyles to consider us as a future employer. Please contact a member of our Talent Experience team (work@loopio.com) should you require accommodations at any point during our virtual interview processes.