58 results for Machine Learning Engineer Jobs in Cambridge, MA, US

Responsible for designing and implementing high-performance data processing infrastructure for large language model training, collaborating with researchers to develop data processing pipelines, and contributing to MLOps best practices by writing technical documentation. The role involves working cl...

Responsible for designing and deploying scalable infrastructure for ML workloads, building automated pipelines for ML models, optimizing development code for production, and creating CI/CD pipelines. Collaborates with Data Scientists and Engineers to validate models and features, and demos new proje...

Design, develop, and optimize machine learning algorithms for signal processing applications, implement and test algorithms, collaborate with cross-functional teams, conduct data analysis, integrate ML models into software systems, and document the development process.

Arena BioWorks, located in Cambridge, MA, is a new biomedical research institute focused on uncovering the mechanisms of human disease to identify opportunities for therapeutic intervention. The Institute's private funding model allows Arena to advance novel therapeutics by forming and supporting bi...

Develop and implement machine learning algorithms to enhance the translation management system, collaborate with cross-functional teams to translate business requirements into technical solutions, design and maintain scalable machine learning models, evaluate existing models with data-driven techniq...

Design and build machine learning models and infrastructure, deploy low-latency machine learning systems, and optimize distributed training systems for performance and user experience.

About SunoAt Suno, we are building a future where anyone can make music. You can make a song for any moment with just a few short words. Award-winning artists use Suno, but our core user base consists of everyday people making music — often for the first time.We are a team of musicians and AI expert...

Build cutting-edge models for video recognition and classification, develop deep learning systems to predict video virality and create montages, and enable deep video search. Experience in generative model training, recognition and clustering algorithms, and software development using Python and ML ...