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About the Role

Our ML team sits at the intersection of research, engineering, and platform development. We partner closely with researchers and investors to prototype novel modeling ideas, build high-performance ML infrastructure, and productionize models that run at scale across massive datasets. You’ll play a key role in both engineering ML models and building the platforms and pipelines that make research faster and production systems more robust.

Responsibilities

Prototype and experiment with ML models across a range of techniques, from traditional ML methods to deep learning architectures.
Engineer promising research models for production, including data pipelines, scalable training jobs, inference serving, and deployment monitoring.
Design and evolve the ML platform for research and engineering teams, covering feature pipelines, training orchestration, deployment workflows, model registries, and experiment tracking tools.
Design and implement performant data pipelines for large-scale feature extraction and model training data workflows across batch, streaming, and distributed compute environments.
Optimize ML models and supporting infrastructure for latency, memory footprint, and throughput.
Collaborate with researchers, data engineers, and infrastructure engineers to improve modeling workflows end-to-end.

Requirements

Strong software engineering fundamentals with experience building production-grade ML systems.
Deep ML engineering experience, including training and deploying ML models in production and understanding the full model lifecycle.
Experience building or maintaining ML infrastructure (e.g., experiment tracking, feature stores, training pipelines, model serving frameworks, or distributed training orchestration).
Experience building high-throughput, reliable data pipelines.
Proficiency in Python and PyTorch.
Strong foundations in linear algebra, optimization, and statistics.
Awareness of system performance and profiling for efficiency through parallelization, data loading, or model optimization.
Comfort reading ML papers, questioning modeling choices, and proposing improvements while considering engineering realities.

Skills

Python
PyTorch
JAX
TensorFlow
CUDA
C++
Spark
Ray
Linear Algebra
Optimization
Statistics
MLOps
Data Engineering
Deep Learning
Neural Networks
Sequence Models

Location

New York City

Work Type

Onsite (4 days per week)

Experience Level

ML Engineering
Data Engineering
ML Platform/MLOps

Benefits

Health insurance with 100% premium covered and access to concierge medical services
401(k) plan with generous employer match
Paid time off, including fully paid parental leave and a competitive PTO package
Workplace flexibility and access to back up childcare
Financial assistance for family building support, including adoption and egg freezing
Workplace wellness, including on-site gyms, free meals and healthy snacks, and meditation rooms
Engaged and active community with company events, affinity networks, and extracurricular interest groups

About the Company

AIA is Bridgewater Associates' dedicated Artificial Intelligence research and investment lab.
Bridgewater Associates is a premier asset management firm, focused on delivering unique insight and partnership for the most sophisticated global institutional investors.
Our investment process is driven by a tireless pursuit to understand how the world’s markets and economies work — using cutting edge technology to validate and execute on timeless and universal investment principles.
Founded in 1975, we are a community of independent thinkers who share a commitment for excellence.
Our culture is tied to our mission, which is to understand how the world’s markets and economies work, and to translate that into world-class investment performance.
This requires an extraordinary team, defined by the best individuals and the best portfolio of people, operating in an idea meritocracy.
In this, we are uncompromising on our shared values of excellence, truth, integrity, humility, and courage.
Our aspiration of a vibrant idea meritocracy requires diversity of thought – this comes from diversity of background, identity, experience, and so much more.
We pursue inclusion because it’s how we unlock the power of that diversity and make sure the best ideas get heard.
To sustain this way of being through lots of years and lots of circumstances, we invest in meaningful work and meaningful relationships – the purpose and joy that comes from tackling something challenging and worthy, alongside people who make us better versions of ourselves.

Equal Opportunity

Bridgewater Associates, LP is an Equal Opportunity Employer