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Machine Learning Compiler Engineer Jobs in New York

Entravision

Machine Learning Engineer

Manhattan, NY

Machine Learning Engineer New York, NY | Full Time COMPENSATION RANGE: 140,000.00 - 170,000.00 (On Target Earnings) The Role: As a Machine Learning Senior Engineer you will be part of all the major ...

Jane Street

Machine Learning Engineer

Manhattan, NY

We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine ...

Jane Street

Machine Learning Engineer

New York, NY

We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine ...

WITHIN

Machine Learning Engineer

New York, NY · Hybrid

$90K - $254K/yr

We are in search of an exceptional Machine Learning Engineer to join our accomplished team. In this role, you will take the lead in developing and fine-tuning predictive ML models, with a primary ...

Entravision

Machine Learning Engineer

Manhattan, NY · On-site

As a Machine Learning Senior Engineer, you will be involved in major architectural decisions and developments on algorithms, focusing particularly on deep neural network algorithms. Responsibilities ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$148K - $212K/yr

We are looking for a Machine Learning Engineer to join the Personalization (PZN) team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with ...

Spotify

Machine Learning Engineer

New York, NY

$148K - $212K/yr

We are looking for a Machine Learning Engineer to join the Personalization (PZN) team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with ...

Kitware

Machine Learning Engineer

New York, NY · On-site

$85K - $125K/yr

... machine learning, artificial intelligence, and computer vision * Perform rapid prototyping and enhanced development to be integrated into operational systems * Contribute your strong programming ...

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Machine Learning Compiler Engineer information

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$34.5K

$140.9K

$211.7K

How much do machine learning compiler engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for machine learning compiler engineer in New York is $140,878.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $169,600.00 per year, depending on experience, location, and employer.

What is a Machine Learning Compiler Engineer job?

A Machine Learning Compiler Engineer focuses on optimizing and building compilers that translate high-level machine learning models into efficient code runnable on specialized hardware (e.g., GPUs, TPUs). They work on improving performance, memory usage, and execution efficiency of ML workloads by designing compiler optimizations, code generation techniques, and leveraging frameworks like LLVM or MLIR. Their role bridges the gap between ML researchers and hardware engineers, ensuring models run efficiently on target platforms.

What are the typical daily responsibilities of a Machine Learning Compiler Engineer?

As a Machine Learning Compiler Engineer, your daily responsibilities often include designing and implementing new compiler optimizations, collaborating with machine learning researchers to support model deployment, and debugging performance or correctness issues in compiled code. You may participate in code reviews, write technical documentation, and conduct benchmarking to evaluate how machine learning models perform on various hardware backends. Close collaboration with hardware engineers, software architects, and data scientists is common, ensuring end-to-end solutions meet both research and production requirements. Staying updated with the latest advancements in both compiler technology and machine learning frameworks is also a key aspect of the role.

What are the key skills and qualifications needed to thrive in the Machine Learning Compiler Engineer position, and why are they important?

A Machine Learning Compiler Engineer needs a deep understanding of computer science fundamentals, compiler theory, and experience with machine learning frameworks, often supported by a relevant degree in computer science or engineering. Proficiency with tools such as LLVM, TVM, MLIR, and languages like C++, Python, and CUDA is typically required, and familiarity with hardware architectures is a plus. Strong problem-solving, teamwork, and communication skills are essential for collaborating with cross-functional teams and addressing complex system issues. These capabilities are important for designing and optimizing compilers that enable scalable and efficient deployment of machine learning models on diverse hardware platforms.

What are the most commonly searched types of Machine Learning Compiler Engineer jobs in New York? The most popular types of Machine Learning Compiler Engineer jobs in New York are:
What are popular job titles related to Machine Learning Compiler Engineer jobs in New York? For Machine Learning Compiler Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Machine Learning Compiler Engineer jobs in New York look for? The top searched job categories for Machine Learning Compiler Engineer jobs in New York are:
Machine Learning Compiler Engineer jobs near you
Infographic showing various Machine Learning Compiler Engineer job openings in New York as of May 2026, with employment types broken down into 94% Full Time, 2% Part Time, 2% Contract, and 2% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $140,878 per year, or $67.7 per hour.
Machine Learning Engineer

Machine Learning Engineer

Treeswift Inc

Manhattan, NY

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description

About Treeswift:
In the face of rising threats like severe storms and wildfires, increasing pressure on affordability, and unprecedented demands for system expansion, Treeswift empowers energy companies to modernize their field work to meet the unprecedented growth and challenges ahead.
To accomplish our mission we deploy our sensors into our customers' field operations, typically on backpacks or vehicles. The resulting trove of LiDAR and imagery data is processed through our AI models to deliver actionable analytics through our web platform. To date, our technology has enabled utilities to reduce wildfire, regulatory and outage risk from vegetation, avoid delays and cost overruns in new construction, and accelerate recovery from severe storms.
After starting our work with utilities in June 2024, we are now working with three of the five largest utilities in the United States and are rapidly expanding across new customers and use cases. To tackle this challenge we are bringing together a team of mission-driven experts with deep industry experience in robotics (Penn, Caltech, CMU) and enterprise software development (Palantir, Stripe, Oracle, MongoDB). We have raised funding from leading investors including Penny Pritzker's Inspired Capital.
Treeswift is headquartered in lower Manhattan, and maintains an office in Philadelphia. We also have some customer-facing team members based closer to our customer sites (i.e. Bay Area).
We hope you join us on this journey!
About the Role:
Treeswift is seeking a highly skilled and motivated engineer to join our team. You will play a pivotal role in developing and deploying state-of-the-art machine learning solutions to advance our mission. We are looking for an exceptional candidate with a proven track record of training and deploying models in a commercial setting. If you are a passionate and experienced engineer eager to contribute to the future of distributed infrastructure management we encourage you to apply.
This is a full-time, hybrid/2-day a week in person role in our NYC office.
Key Responsibilities
  • Develop machine learning models that revolutionize our customers' businesses. Treeswift develops machine learning algorithms that upend the cost and accuracy of field work for energy infrastructure. Our machine learning model development focuses on two primary areas: (a) LiDAR point cloud models to classify and segment landscapes and infrastructure and (b) image models to derive vegetation attributes such as species and health. In this role you will be responsible for bringing innovative ideas and rapid execution to new and existing models. In the course of development, you will collaborate closely with other teams (product, operations etc...) and have an opportunity to interact with end-users.
  • Create a best-in-class feedback loop to accelerate model development. You will improve Treeswift's ability to assess model performance and adapt to new operating conditions at scale. Treeswift's cutting edge model development involves significant investment in a proprietary dataset to train our models.
  • Help Treeswift scale. In this role you will be expected to bring prior experience with commercial machine learning model development and deployment to help Treeswift cost-effectively scale its technology to serve a growing number of customers and use cases. You will be responsible for enabling effective collaboration on model development within the engineering team, and you will contribute to efforts to ensure reliable and robust performance of models in production.
Required Skills
  • Proven track record of training and deploying machine learning models at scale for commercial use cases.
  • Experience in segmentation and object detection of point cloud data or image data or other sensor data.
  • Experience creating, curating, and cleaning training datasets
  • Strong programming skills in Python
  • Expertise in deep learning libraries such as PyTorch, TensorFlow, or similar.
  • Excellent problem-solving and analytical abilities.
  • Exceptional communication and collaboration skills.
Preferred Skills
  • Experience with semantic mapping.
  • Experience with image processing techniques and computer vision fundamentals.
  • Experience with one or more of: Sensor Fusion, SLAM, Visual Odometry.
  • Building and using cloud-based training and inference pipelines.
  • 5+ years of professional experience or 3+ years with an advanced degree.
  • Experience with deep learning training frameworks such as MLflow, Lightning, Weights and Biases, or similar.
What We Value
  • Mission first. We value low ego team members who focus on working towards the best outcomes for the customer and the business, regardless of who gets the credit.
  • Truth seeking. We don't always have perfect information to make decisions, but we seek to constantly get closer to the ground truth and aren't afraid to learn we were wrong in the process.
  • Owners mindset. If you see an opportunity for improvement, run with it. We believe that good ideas can come from anywhere, no matter your role.
Benefits
  • Comprehensive medical, dental and vision insurance
  • Life insurance package and disability coverage
  • Stock options
  • Paid leave for new parents
  • Unlimited PTO
  • 401K

Salary
The estimated salary range for this position is $140,000-$210,000. Total compensation for this position is determined by skills, qualifications, relevant work experience, location, and other factors. This salary estimate excludes the value of any potential bonuses; the value of any benefits offered; and the potential future value of any long-term incentives. This information is provided per the New York City Human Rights Law. Please note that the range provided is applicable only to New York City-based applicants. Base compensation may vary if the work location is outside of New York City.
Treeswift is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable law.
If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs.

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