San Francisco, CA · On-site +1
$144K - $192K/yr
We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this ... loading, gradient computation, and communication. Implement optimizations like kernel fusion ...
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San Francisco, CA · On-site +1
$144K - $192K/yr
We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this ... loading, gradient computation, and communication. Implement optimizations like kernel fusion ...
... Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc. • Experience in Deep Learning Tools such as tensorflow/pytorch. • Experience with at least one programming language like C ...
... Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc. • Experience in Deep Learning Tools such as tensorflow/pytorch. • Experience with at least one programming language like C ...
San Jose, CA · On-site
$150K - $316K/yr
... Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc. • Experience in Deep Learning Tools such as tensorflow/pytorch. • Experience with at least one programming language like C ...
San Jose, CA · On-site
$150K - $316K/yr
... Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc. • Experience in Deep Learning Tools such as tensorflow/pytorch. • Experience with at least one programming language like C ...
Irvine, CA · On-site
$100K - $130K/yr
Apply gradient boosting and other machine learning techniques to structured tabular data problems. * Communicate model outputs, assumptions, and uncertainty ranges clearly to non-technical audiences ...
Irvine, CA · On-site
$100K - $130K/yr
Apply gradient boosting and other machine learning techniques to structured tabular data problems. * Communicate model outputs, assumptions, and uncertainty ranges clearly to non-technical audiences ...
Integrate Explainable AI (XAI) methods (e.g., SHAP, LIME, attention visualization, or gradient ... Expand machine learning models portfolio for engineering and simulation-driven applications.
Integrate Explainable AI (XAI) methods (e.g., SHAP, LIME, attention visualization, or gradient ... Expand machine learning models portfolio for engineering and simulation-driven applications.
San Francisco, CA · On-site
$175K - $250K/yr
... Learning Engineer will operate deep within the model stack, working directly with weights ... Google's Gradient Ventures, General Catalyst, and Y Combinator. We want people who think and act ...
San Francisco, CA · On-site
$175K - $250K/yr
... Learning Engineer will operate deep within the model stack, working directly with weights ... Google's Gradient Ventures, General Catalyst, and Y Combinator. We want people who think and act ...
Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
San Francisco, CA · On-site +1
$213K - $263K/yr
We seek an experienced Senior Machine Learning Infrastructure Engineer to lead the development of ... Strong expertise in distributed training techniques, including gradient sharding and optimization ...
San Francisco, CA · On-site +1
$213K - $263K/yr
We seek an experienced Senior Machine Learning Infrastructure Engineer to lead the development of ... Strong expertise in distributed training techniques, including gradient sharding and optimization ...
Mountain View, CA · On-site +1
$213K - $263K/yr
We seek an experienced Senior Machine Learning Infrastructure Engineer to lead the development of ... Strong expertise in distributed training techniques, including gradient sharding and optimization ...
Mountain View, CA · On-site +1
$213K - $263K/yr
We seek an experienced Senior Machine Learning Infrastructure Engineer to lead the development of ... Strong expertise in distributed training techniques, including gradient sharding and optimization ...
... Learning Engineer will operate deep within the model stack, working directly with weights ... Google's Gradient Ventures, General Catalyst, and Y Combinator. We want people who think and act ...
... Learning Engineer will operate deep within the model stack, working directly with weights ... Google's Gradient Ventures, General Catalyst, and Y Combinator. We want people who think and act ...
Deep expertise in MDPs, policy gradient methods (PPO, SAC), and temporal difference learning * Hands-on experience with Gymnasium-based environments and reward engineering (sparse vs. dense ...
Deep expertise in MDPs, policy gradient methods (PPO, SAC), and temporal difference learning * Hands-on experience with Gymnasium-based environments and reward engineering (sparse vs. dense ...
... learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others) • Regression (e.g. ? Linear/Logistic ...
... learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others) • Regression (e.g. ? Linear/Logistic ...
Experience with NN architectures such as CNNs, AEs, GANs and with ensemble learning methods including gradient boosting and random forests is preferred. Validation and Deployment * Apply model ...
Experience with NN architectures such as CNNs, AEs, GANs and with ensemble learning methods including gradient boosting and random forests is preferred. Validation and Deployment * Apply model ...
Experience with NN architectures such as CNNs, AEs, GANs and with ensemble learning methods including gradient boosting and random forests is preferred. Validation and Deployment * Apply model ...
Experience with NN architectures such as CNNs, AEs, GANs and with ensemble learning methods including gradient boosting and random forests is preferred. Validation and Deployment * Apply model ...
Palo Alto, CA · Remote
$122K - $168K/yr
Lead design and implementation of models across classical ML and deep learning (e.g., gradient boosted trees, sequence models, Transformers for tabular/time-series/NLP where relevant). * Translate ...
Palo Alto, CA · Remote
$122K - $168K/yr
Lead design and implementation of models across classical ML and deep learning (e.g., gradient boosted trees, sequence models, Transformers for tabular/time-series/NLP where relevant). * Translate ...
Calabasas, CA · On-site
$110K - $151K/yr
Integrate Explainable AI (XAI) methods (e.g., SHAP, LIME, attention visualization, or gradient ... Expand machine learning models portfolio for engineering and simulation-driven applications.
Calabasas, CA · On-site
$110K - $151K/yr
Integrate Explainable AI (XAI) methods (e.g., SHAP, LIME, attention visualization, or gradient ... Expand machine learning models portfolio for engineering and simulation-driven applications.
Deep expertise in MDPs, policy gradient methods (PPO, SAC), and temporal difference learning * Hands-on experience with Gymnasium-based environments and reward engineering (sparse vs. dense ...
Deep expertise in MDPs, policy gradient methods (PPO, SAC), and temporal difference learning * Hands-on experience with Gymnasium-based environments and reward engineering (sparse vs. dense ...
Experience with NN architectures such as CNNs, AEs, GANs and with ensemble learning methods including gradient boosting and random forests is preferred. Validation and Deployment * Apply model ...
Experience with NN architectures such as CNNs, AEs, GANs and with ensemble learning methods including gradient boosting and random forests is preferred. Validation and Deployment * Apply model ...
As a Senior Staff Machine Learning Engineer, you will architect the transition from behavior ... Deep understanding of Sequential Decision Making , World Models, or Policy Gradient methods.
As a Senior Staff Machine Learning Engineer, you will architect the transition from behavior ... Deep understanding of Sequential Decision Making , World Models, or Policy Gradient methods.
Santa Clara, CA · On-site
$122K - $168K/yr
As a Senior Staff Machine Learning Engineer, you will architect the transition from behavior ... Deep understanding of Sequential Decision Making , World Models, or Policy Gradient methods.
Santa Clara, CA · On-site
$122K - $168K/yr
As a Senior Staff Machine Learning Engineer, you will architect the transition from behavior ... Deep understanding of Sequential Decision Making , World Models, or Policy Gradient methods.
$9.18 - $16.48
13% of jobs
$21.14 is the 25th percentile. Wages below this are outliers.
$16.48 - $23.77
19% of jobs
$23.77 - $31.07
16% of jobs
The median wage is $32.40 / hr.
$31.07 - $38.37
12% of jobs
$38.37 - $45.67
9% of jobs
$52.44 is the 75th percentile. Wages above this are outliers.
$45.67 - $52.96
7% of jobs
$52.96 - $60.26
6% of jobs
$60.26 - $67.56
5% of jobs
$67.56 - $74.86
5% of jobs
$74.86 - $82.15
4% of jobs
$82.15 - $89.45
3% of jobs
$9
$41
$89
$144K - $192K/yr
Full-time
Medical, Dental, Vision, Life, Retirement
Posted 28 days ago
Mission Summary:
We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost, reliability, and throughput. You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and reduce the time-to-convergence for our next generation of models.
What you'll be doing:
What we're looking for:
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
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Motor vehicle manufacturing
501 - 1,000 Employees
Boston, MA, US
2020
