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Assistant/Associate/Full Professor - Crop Design
University of Georgia Staff
GA
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Maintenance Engineer
HVMG
Eagle, ID
We are seeking a skilled and reliable Maintenance Engineer to support the overall upkeep and functionality of our property. This role includes performing routine maintenance, addressing…
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Senior Cloud Network Engineer
US AMR-Jones Lang LaSalle Americas, Inc.
Remote, United States
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Operating Engineer
US AMR-Jones Lang LaSalle Americas, Inc.
Chicago, IL
The Operating Engineer supports operation, inspection and maintenance processes to mechanical, HVAC, electrical and plumbing equipment and systems.
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Lead Operating Engineer
US AMR-Jones Lang LaSalle Americas, Inc.
Baltimore, MD
What this job involves: The Lead Operating Engineer plays a critical role in keeping JLL-managed facilities running safely, efficiently, and reliably. This position leads the operation,…
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Operating Engineer
US AMR-Jones Lang LaSalle Americas, Inc.
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Software Engineer
Humana Government Business, Inc.
Louisville, KY · Atlanta, GA · Boston, MA · Charlotte, NC · Chicago, IL · Dallas, TX · Miami, FL · NY · Tampa, FL · Washington, DC
Humana Military is seeking a Software Engineer 2 to join its Clinical Referral Authorization & Utilization Management technology team. In this role, you will design, code, test and support…
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Data Center Site Reliability Engineer
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Entry-level Civil, Environmental, or Geotechnical Engineer
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Security Certification Engineer - Android, Common Criteria & FIPS 140-3
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Electrical Engineer - Buildings
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WSP is currently initiating a search for an Electrical Engineer to join our Property & Buildings team in Irvine, California.
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Data Center Electrical Engineer, Consultant
WSP
Troy, NY · New York, NY · Herndon, VA · Atlanta, GA · Milwaukee, WI · Tempe, AZ · Houston, TX · Dallas, TX · NY
WSP is currently initiating a search for a Electrical Engineer for our any of our offices.
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Data Center Electrical Engineer, Lead Consultant
WSP
Troy, NY · Herndon, VA · New York, NY · Atlanta, GA · Milwaukee, WI · Tempe, AZ · Houston, TX · Dallas, TX · NY
WSP is currently initiating a search for a Data Center Electrical Engineer, Lead Consultant. This role will work a hybrid schedule out of our any of our offices. As an Electrical Engineer,…
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Data Center Electrical Engineer, Assistant Vice President
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Troy, NY · New York, NY · Herndon, VA · Atlanta, GA · Milwaukee, WI · Tempe, AZ · Houston, TX · Dallas, TX · NY
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Data Center ICT/Telecom Engineer, Senior Consultant
WSP
Troy, NY · Herndon, VA · Atlanta, GA · Milwaukee, WI · Houston, TX · Dallas, TX · New York, NY · NY · Tempe, AZ
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Field Process Engineer - High Volume Manufacturing/Field Applications
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Oxford Instruments is seeking a Process Engineer – High Volume Manufacturing (HVM) / Field Applications to support advanced plasma processing systems across semiconductor manufacturing…
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Senior Bridge Structural Engineer
The LiRo Group
New York, NY
- $155,000 to $180,000 USD / year
We have an immediate need for a Senior Bridge Structural Engineer in our New York City office. This senior technical and project-delivery role will support the continued growth of our NYC…
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Project Bridge Structural Engineer
The LiRo Group
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- $140,000 to $155,000 USD / year
We have an immediate need for a Project Bridge Structural Engineer in our New York City office. This role is the core midlevel position in our growing NYC bridge team and is intended for an…
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Structural Engineer - Bridges
The LiRo Group
New York, NY
- $100,000 to $135,000 USD / year
We have an immediate need for a Structural Engineer - Bridges in our New York City office. This developing-level role offers hands-on bridge design and field experience within a growing NYC…
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Project Bridge Structural Engineer
The LiRo Group
Mineola, NY
- $130,000 to $155,000 USD / year
We have an immediate need for a Project Bridge Structural Engineer in our Mineola office. This midlevel role is intended for an engineer ready to own bridge design tasks, guide developing…
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Civil Engineer – Los Angeles, CA
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- $162,000 to $172,000 USD / year
CMTS is seeking an experienced Civil Engineer to support the Los Angeles Unified School District (LAUSD) Facilities Services Division. The Civil Engineer will perform highly complex…
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Lead Engineer | Reactor Vessel Internals
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As a Lead Engineer on our Reactor Vessel Internals team, you will perform and lead engineering activities supporting the design, analysis, repair, modification, and qualification of reactor…
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Senior Staff AI Engineer
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We are looking for a Senior Staff AI Engineer to join our Information Technology Artificial Intelligence and Machine Learning Engineering team, reporting directly to the Senior Manager, AI…
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Lead Process Engineer
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Certification is required in some areas

IMC

Machine Learning Engineer

NY, United States

$175,000 - $250,000 USD

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Job details

Pay: $175,000 - $250,000 USD
Experience: 3+ years of experience in machine learning, with a focus on training or inference systems.
Posting language: English
Posted: Oct 25, 2024

Original job description

Machine Learning Engineers at IMC play a pivotal role in building the systems that drive training and deployment of large-scale ML models across IMC's global operations. They collaborate with quantitative researchers, hardware specialists and software engineers to build robust systems that get the most out of GPU acceleration, distributed computing and the broader open-source ML ecosystem. ML Engineers' work directly shapes how fast we can experiment, iterate and deploy - accelerating the cycle that turns a research idea into a live trading strategy.

This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC's technology and trading capabilities.

As a team, our Machine Learning Engineers broadly work across two areas: ML Research Engineering, focused on the systems and frameworks researchers use to train, evaluate and iterate on models at scale; and ML Performance Engineering, focused on making ML workloads execute as efficiently as possible, typically through GPU and low-level systems optimization. These aren't rigid tracks, and there is overlap between them. You will bring depth of expertise in at least one of these focus areas and collaborate closely with global team members.

Your Core Responsibilities

The responsibilities below are representative of the role - the exact mix depends on your team, area of expertise and location.

ML Research Engineering

Develop large-scale distributed training pipelines that manage complex datasets and models.
Partner with quantitative researchers to automate ML experiments, hyperparameter tuning and model retraining.
Work with HPC specialists to optimise workflows, improve training speed and reduce compute cost.

ML Performance Engineering

Build and optimise low-latency inference pipelines, ensuring models deliver real-time predictions in production systems.
Maximise performance in training and inference using GPU hardware and acceleration libraries.

Across both areas

Extend and improve the internals of machine learning frameworks and open-source tools to raise their performance for our workloads.
Design scalable model infrastructure capable of handling high-volume trading data and delivering real-time, high-accuracy predictions.
Evaluate and roll out third-party tools that enhance model development, training and inference capabilities.

Your Skills and Experience

Core, regardless of focus area:

3+ years of experience in machine learning, with a focus on training or inference systems.
Production software engineering - Python, testing discipline and genuine ownership of systems once they ship.
Machine learning fundamentals - you understand modern ML workloads beyond high-level APIs and can reason about model behaviour, correctness and performance at the level relevant to your area of expertise.
A systems mindset - you reach for measurement before opinion on performance, scale or reliability issues, and can make sound build-versus-buy decisions.
Strong collaboration - comfortable explaining the reasoning behind your technical decisions, working through differing perspectives with researchers and adapting your approach when the evidence supports it.

Depth in one or more of the following:

Distributed training and large-scale systems - parallelism strategy, data pipelines and checkpointing; frameworks such as PyTorch, TensorFlow or JAX.
GPU performance and low-level optimisation - reasoning about memory, compute and latency at the device level, and optimising performance across kernels, compilers and hardware (e.g. CUDA, Triton or equivalent).
Production inference systems - hands-on experience building and hardening real-time, low-latency prediction pipelines in high-performance environments.
Numerics and correctness at scale - low-precision effects, KV caching, batching, and knowing which optimisations stay bit-exact.

Technologies listed above are examples rather than requirements; equivalent depth developed using other stacks or hardware platforms is equally relevant.

Also a plus:

Exposure to cloud platforms and orchestration tools.
A track record of contributing to open-source projects in machine learning, data science or distributed systems.

Not sure this is the one? If your strength is mainly in modelling and research direction, our Deep Learning Researcher roles are likely a closer fit. If your strength is in general infrastructure rather than ML-specific systems, take a look at our broader infrastructure engineering roles.

The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.

Salary Range

$175,000 - $250,000 USD

About Us

IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.

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Jobs in the United States