You’ve heard that all squares are rectangles, but not all rectangles are squares. Similarly, all machine learning is AI, but not all AI is machine learning. Machine learning is a branch of artificial intelligence that specifically focuses on teaching devices to learn information from a data set without manual human interference. This technology can be used to improve the efficiency and accuracy of tasks that rely on vast amounts of data.
Machine learning engineers research, build, design and train ML systems. Some of their other tasks include applying data prototypes, conducting statistical analysis and updating machine learning libraries and frameworks.
These are some of the companies that hire machine learning engineers.
Top Companies Hiring Machine Learning Engineers
- Hinge
- Hedra
- Movable Ink
- Roblox
- SmartBear
- Air Space Intelligence
- Upstart
Companies Hiring Machine Learning Engineers
Airwallex aims to build agentic finance solutions and innovate beyond SaaS infrastructure. The company says it’s reinventing its product suite to capture generative AI opportunities, leveraging large language models and machine learning to streamline its platform.
Roblox is a gaming and development platform that offers immersive 3D experiences. It enables multilingual players to connect through an AI-powered chat feature that translates text into 16 languages. Roblox has a machine learning team that optimizes models for GPU performance and analyzes ML pipelines for bottlenecks. Team members should have experience with ML modeling and data pipelines.
Coinbase’s mission centers around enabling economic freedom through its platform for buying, selling and storing a broad range of cryptocurrencies. The remote-first company is in need of engineering team members who bring several years of machine learning experience and can support initiatives like AI infrastructure development.
Movable Ink is a marketing technology company that uses AI to support content personalization powered by automations. For example, its Movable Ink Studio product uses data to adjusting email content in real time. Movable Ink Da Vinci revitalizes batch messaging campaigns with personalized content for each customer. The company’s engineering employees have to be able to work with ML technologies.
Through its Zero Trust Data Security approach, Rubrik aims to bolster cyber resilience across industries such as healthcare, financial services and education. The company’s engineering team is hiring across locations like Bengaluru and Palo Alto, and it’s looking for machine learning experts to support development and optimization of its AI-driven data security solutions.
Software developers working across industries like financial services and healthcare use MongoDB’s multi-cloud database platform to get AI-powered applications to market faster. The company has a growing engineering team that’s looking to recruit talent with expertise in machine learning.
NinjaTrader offers software solutions for futures trading and applies machine learning to enable innovation at the intersection of trading technology, quantitative modeling and real-time decision systems. Its engineers build models that rely on instrument data, technical indicators and historical price for generating trading signals and predicting price trends. The company’s scripting framework supports implementation of custom ML-based indicators, strategies and data pipelines.
Klaviyo helps companies automate marketing workflows and use their data to send targeted messages across email, SMS and push notifications. The company has six offices worldwide and is actively hiring engineers for various roles across its global locations.
SailPoint leverages AI and machine learning to power a platform designed to optimize identity security for enterprises across industries like financial services, healthcare, oil and gas and higher education. The company has a multinational workforce and is hiring machine learning experts to join its product teams.
Hinge calls itself “the dating app designed to be deleted.” It sends users potential matches whose profiles they can “like.” If the feeling is mutual, the platform introduces both daters. The company’s machine learning engineers ensure efficient data workflows and need to understand data access patterns throughout the full ML lifecycle.
AKASA aims to improve the future of healthcare with artificial intelligence. It develops generative AI solutions that health systems and other healthcare organizations use to enhance financial infrastructure. The company is hiring for senior level machine learning engineers and managers.
Hedra is an AI-native platform that enables multimodal content generation. Its solutions cover everything from branded content marketing to creating viral social media posts. Character-3 is its proprietary video model. Machine learning engineers at the company build and manage infrastructure and services for its video models.
Air Space Intelligence develops AI-driven software solutions to support air operations for U.S. government agencies and commercial clients. It needs machine learning engineers to design systems capable of processing data streams and delivering real-time insights for mission-critical aviation and logistics operations.
SmartBear offers services and solutions to help clients build software. Its offerings cover automation, performance testing and code review. SmartBear’s users include software developers and administrators. The company’s ML engineers build models, clean data sets and enhance testing tools with AI.
Attain’s opt-in purchase platform leverages live transaction data to provide marketers with comprehensive consumer intelligence they can use to enhance customer targeting. It’s working to attract machine learning engineers who are proficient with Python and are adept at communicating about technical topics.
Upstart offers digital solutions that enable users to access $1,000 to $50,000 in personal loans. The company also connects consumers with auto refinance loans, small-dollar loans and home equity lines of credit. Its AI-driven lending platform evaluates over 1,800 non-traditional credit risk variables, and its underwriting model runs about 1 million predictions for each applicant, which Upstart says leads to fewer defaults, lower APRs and higher approval rates. Upstart needs machine learning engineers to work on these services, offering real-world impact and digital-first flexibility.
