$120 - $180/hr
Conduct applied machine learning research using large-scale, real-world financial datasets ... inference, and prediction tasks in complex systems), as they prepare to transition into a faculty ...
New
$120 - $180/hr
Conduct applied machine learning research using large-scale, real-world financial datasets ... inference, and prediction tasks in complex systems), as they prepare to transition into a faculty ...
New
$162 - $227/hr
At Freenome, we are seeking a Senior Machine Learning Research Engineer to join the Machine ... and inference. * Collaborate closely with ML scientists and software engineers to understand ...
New
$162 - $227/hr
At Freenome, we are seeking a Senior Machine Learning Research Engineer to join the Machine ... and inference. * Collaborate closely with ML scientists and software engineers to understand ...
New
$160 - $240/hr
About The Role We are looking for a Machine Learning Engineer to join the ML - Document ... inference, enabling high‑volume document processing workflows. * Perform exploratory data ...
$160 - $240/hr
About The Role We are looking for a Machine Learning Engineer to join the ML - Document ... inference, enabling high‑volume document processing workflows. * Perform exploratory data ...
$166 - $220/hr
About the Role We are seeking a Machine Learning Perception Engineer to join our Perception team in ... Model optimization for embedded inference, quantization, pruning, TensorRT, and ONNX . * Experience ...
$166 - $220/hr
About the Role We are seeking a Machine Learning Perception Engineer to join our Perception team in ... Model optimization for embedded inference, quantization, pruning, TensorRT, and ONNX . * Experience ...
$160 - $240/hr
Requirements * Deep experience building or evolving real machine learning systems used in ... GPU-based training and inference system How We Work The best products today in the world were built ...
New
$160 - $240/hr
Requirements * Deep experience building or evolving real machine learning systems used in ... GPU-based training and inference system How We Work The best products today in the world were built ...
New
$200 - $230/hr
... causal inference, data linkage and statistical matching for combining multiple data sources, data quality assessment, differential privacy, imputation, machine learning, small area estimation ...
New
$200 - $230/hr
... causal inference, data linkage and statistical matching for combining multiple data sources, data quality assessment, differential privacy, imputation, machine learning, small area estimation ...
New
$95 - $120/hr
... machine learning and assisting in generative AI solutions. This position will lead the design and ... Conduct exploratory data analysis, statistical modeling, causal inference, and A/B experimentation ...
$95 - $120/hr
... machine learning and assisting in generative AI solutions. This position will lead the design and ... Conduct exploratory data analysis, statistical modeling, causal inference, and A/B experimentation ...
$181.10 - $318.40/hr
Staff/Sr. Machine Learning Engineer, Foundation Models - AI, Search & Knowledge Platforms San ... Build tools to understand bottlenecks in Inference for different hardwares and use cases. Mentor ...
New
$181.10 - $318.40/hr
Staff/Sr. Machine Learning Engineer, Foundation Models - AI, Search & Knowledge Platforms San ... Build tools to understand bottlenecks in Inference for different hardwares and use cases. Mentor ...
New
$250 - $450/hr
The team works at the intersection of machine learning frameworks, compiler technologies ... Drive support for emerging LLM architectures and inference workloads. Team Leadership * Hire ...
$250 - $450/hr
The team works at the intersection of machine learning frameworks, compiler technologies ... Drive support for emerging LLM architectures and inference workloads. Team Leadership * Hire ...
... causal inference experimentation * Partner with our product, strategy, and research teams to ... and machine learning * Experience with data visualization tools, both BI tools (e.g. Tableau ...
New
... causal inference experimentation * Partner with our product, strategy, and research teams to ... and machine learning * Experience with data visualization tools, both BI tools (e.g. Tableau ...
New
$135 - $165/hr
... inference. In this role, you'll work at the intersection of machine learning and computer systems, collaborating with engineers across model, compiler, runtime, and hardware teams. This is an ideal ...
$135 - $165/hr
... inference. In this role, you'll work at the intersection of machine learning and computer systems, collaborating with engineers across model, compiler, runtime, and hardware teams. This is an ideal ...
$179 - $269/hr
## AI/Machine Learning Researcher, Staff (AI Research)San Diego, California, United States of ... Experience in LLM efficiency research such as efficient attention, inference acceleration, or KV ...
New
$179 - $269/hr
## AI/Machine Learning Researcher, Staff (AI Research)San Diego, California, United States of ... Experience in LLM efficiency research such as efficient attention, inference acceleration, or KV ...
New
$188 - $275/hr
The Inference team is responsible for delivering high-performance model serving capabilities that ... Who You Are * 4+ years of experience in machine learning, systems, performance engineering, or ...
New
$188 - $275/hr
The Inference team is responsible for delivering high-performance model serving capabilities that ... Who You Are * 4+ years of experience in machine learning, systems, performance engineering, or ...
New
$180 - $280/hr
In this role, you will work across the entire machine learning infrastructure from low‑level CUDA ... Familiarity with distributed serving or large‑scale inference frameworks (e.g., vLLM, TensorRT ...
New
$180 - $280/hr
In this role, you will work across the entire machine learning infrastructure from low‑level CUDA ... Familiarity with distributed serving or large‑scale inference frameworks (e.g., vLLM, TensorRT ...
New
Senior Software Engineer Applied AI
Louisville, KY · On-site
$140 - $190/hr
... machine learning * End‑to‑end ML pipelines: feature engineering, model training, and scheduled inference * Imbalanced, messy real‑world data; calibration and explainability for non‑technical ...
Senior Software Engineer Applied AI
Louisville, KY · On-site
$140 - $190/hr
... machine learning * End‑to‑end ML pipelines: feature engineering, model training, and scheduled inference * Imbalanced, messy real‑world data; calibration and explainability for non‑technical ...
$127 - $190/hr
... inference of AI models on Qualcomm AI accelerator IP.* Validate and optimize the performance and accuracy of quantized models through detailed analysis and testing of machine learning use cases.
New
$127 - $190/hr
... inference of AI models on Qualcomm AI accelerator IP.* Validate and optimize the performance and accuracy of quantized models through detailed analysis and testing of machine learning use cases.
New
Senior Software Engineer Applied AI
Louisville, KY · On-site
$117K - $155K/yr
... machine learning * End-to-end ML pipelines: feature engineering, model training, and scheduled inference * Imbalanced, messy real-world data; calibration and explainability for non-technical ...
New
Senior Software Engineer Applied AI
Louisville, KY · On-site
$117K - $155K/yr
... machine learning * End-to-end ML pipelines: feature engineering, model training, and scheduled inference * Imbalanced, messy real-world data; calibration and explainability for non-technical ...
New
$190 - $230/hr
Apply and advance the use of AI/ML, deep learning, NLP, causal ML, and explainable AI across ... Significant experience leading the development and application of statistical and machine learning ...
$190 - $230/hr
Apply and advance the use of AI/ML, deep learning, NLP, causal ML, and explainable AI across ... Significant experience leading the development and application of statistical and machine learning ...
$195 - $217/hr
Team Summary This team will serve as the product owner for the machine learning platform ... Experience optimizing large model training and inference (including LLM serving) for performance ...
$195 - $217/hr
Team Summary This team will serve as the product owner for the machine learning platform ... Experience optimizing large model training and inference (including LLM serving) for performance ...
... causal reasoning, and model-based RL • Experience with large-scale ETL Preferred : • Ph.D. in Computer Science, Data Science, Machine Learning, or a related field • Demonstrated experience ...
... causal reasoning, and model-based RL • Experience with large-scale ETL Preferred : • Ph.D. in Computer Science, Data Science, Machine Learning, or a related field • Demonstrated experience ...
Causal Inference Machine Learning Postdoctoral information
What is a causal inference machine learning postdoctoral researcher?
A Causal Inference Machine Learning Postdoctoral researcher is a scientist who specializes in developing and applying machine learning methods to understand cause-and-effect relationships in data. They typically hold a recent PhD in statistics, computer science, economics, or a related field, and work in academic or industry research settings. Their work involves designing experiments, analyzing complex datasets, and creating models that can infer causal relationships, which are crucial for making robust predictions and informed decisions. This role often collaborates with interdisciplinary teams to apply these techniques to domains such as healthcare, social science, or economics.
What are the key skills and qualifications needed to thrive as a causal inference machine learning postdoctoral researcher?
To thrive as a Causal Inference Machine Learning Postdoctoral researcher, you need a strong background in statistics, causal inference methodologies, and advanced machine learning, usually evidenced by a PhD in a relevant field. Familiarity with programming languages such as Python or R, experience using statistical software (e.g., TensorFlow, PyTorch, Stan), and knowledge of causal inference libraries are typically required. Outstanding analytical thinking, problem-solving abilities, and strong communication skills help you collaborate effectively and explain complex concepts to diverse audiences. These skills and qualifications are vital for advancing research, deriving actionable insights from data, and contributing to impactful scientific discoveries.
What are some common challenges faced by causal inference machine learning postdoctoral researchers when integrating causal models with real-world data?
Causal Inference Machine Learning Postdoctoral researchers often encounter challenges such as dealing with unobserved confounding variables, ensuring data quality, and addressing biases inherent in observational datasets. Integrating advanced machine learning techniques with causal inference frameworks requires careful consideration of model assumptions and validation methods. Collaboration with domain experts is essential to properly interpret results and to translate findings into actionable insights, especially in interdisciplinary settings like healthcare or social sciences.
What is the difference between Causal Inference Machine Learning Postdoctoral vs Data Scientist?
| Aspect | Causal Inference Machine Learning Postdoctoral | Data Scientist |
|---|---|---|
| Required Credentials | PhD in statistics, machine learning, or related field | Bachelor's or Master's in data science, computer science, or related field |
| Work Environment | Academic research, research labs, universities | Corporate, tech companies, startups |
| Industry Usage | Research, academia, specialized industry projects | Business analytics, product development, data-driven decision making |
| Common Search/Comparison | Yes | Yes |
The main difference is that Causal Inference Machine Learning Postdoctoral roles focus on academic research and developing new methods in causal inference, often requiring a PhD. Data Scientists typically work in industry, applying existing models to solve business problems, with a focus on data analysis and visualization. While both roles involve machine learning, the postdoctoral position emphasizes research and theory, whereas data science emphasizes practical application.
Is it difficult to get a causal inference machine learning postdoctoral position?
Securing a causal inference machine learning postdoctoral position can be competitive due to specialized skills required, such as expertise in statistical methods, programming (e.g., Python or R), and a strong research background. Candidates with relevant publications, strong recommendations, and experience in machine learning frameworks often have better chances, but the availability of such positions varies by institution and funding.
What are popular job titles related to Causal Inference Machine Learning Postdoctoral jobs in Kentucky?
For Causal Inference Machine Learning Postdoctoral jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Causal Inference Machine Learning Postdoctoral jobs in Kentucky look for?
The top searched job categories for Causal Inference Machine Learning Postdoctoral jobs in Kentucky are:
What cities in Kentucky are hiring for Causal Inference Machine Learning Postdoctoral jobs?
Cities in Kentucky with the most Causal Inference Machine Learning Postdoctoral job openings:
$120 - $180/hr
Other
Posted 2 days ago
New
Job description
Job Type Full-time
Posted July 2025
The role
Job descriptionOverviewSusquehanna is launching a 12-18 month fully funded faculty fellowship. This is a unique opportunity to pursue advanced machine learning research in a fast-paced, real-world environment - collaborating with teams at the frontier of quantitative trading.
At Susquehanna, our research leverages vast and diverse datasets, applying cutting-edge machine learning at scale to uncover actionable insights - driving data-informed decisions from predictive modeling to strategic execution.
What you’ll do- Conduct applied machine learning research using large-scale, real-world financial datasets
- Develop novel modeling techniques and adapt state-of-the-art algorithms to unique challenges in quantitative finance
- Collaborate with researchers and engineers to translate theoretical insights into production-scale systems
- Contribute to the design of robust, high-performance ML infrastructure
- Explore research directions aligned with your interests, with flexibility in scope and duration
- Evaluate ideas in an industrial setting, generating insights that may inform future academic or applied work
- Help grow our research community by fostering collaboration and leveraging your network within the ML and academic ecosystems
- Exceptional faculty (tenured or tenure-track) with expertise in machine learning, deep learning, LLM, statistics, computer science, physics, applied mathematics, or related fields
- Exceptional newly minted PhDs or postdocs developing a research agenda in machine learning, deep learning, LLM, statistics, computer science, physics, applied mathematics, or related fields
- A strong theoretical foundation in ML and a passion for solving practical, open-ended problems
- Strong programming skills (Python preferred); experience with ML frameworks like PyTorch, TensorFlow or Jax
- Intellectual curiosity, adaptability, and a collaborative mindset
Note: This fellowship is ideal for faculty seeking to broaden their applied research portfolio, explore new domains, or engage in sabbatical collaborations. The faculty fellowship is also appropriate for exceptional newly minted PhD and postdocs who want to develop a research agenda (involving, but not limited to, modeling, inference, and prediction tasks in complex systems), as they prepare to transition into a faculty position. While research outputs cannot be published due to the proprietary nature of our work, we aim for each faculty fellow to publish technical research papers collaboratively with their research hosts, to showcase some of the machine learning and AI innovations that they developed while in residence at Susquehanna.
About SusquehannaSusquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
Applications are handled on their careers site: we are not the employer and cannot process them.
SIG is a global quantitative trading firm founded with an entrepreneurial mindset and a rigorous analytical approach to decision making. As one of the largest proprietary trading firms in the…