Staff AI Scientist
$209K - $283K/yr
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Staff AI Scientist
$209K - $283K/yr
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Staff AI Scientist
New York, NY · On-site
$209K - $283K/yr
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Staff AI Scientist
New York, NY · On-site
$209K - $283K/yr
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Staff AI Scientist
Manhattan, NY · On-site
$209K - $283K/yr
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Staff AI Scientist
Manhattan, NY · On-site
$209K - $283K/yr
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Senior Machine Learning Engineer
New York, NY · On-site
$125K - $150K/yr
You will move beyond simple predictive models to build transformative algorithmic solutions using Bayesian Black Box optimization, Contextual Bandits, and Deep Q-Networks (DQN/DDQN). The problem ...
Senior Machine Learning Engineer
New York, NY · On-site
$125K - $150K/yr
You will move beyond simple predictive models to build transformative algorithmic solutions using Bayesian Black Box optimization, Contextual Bandits, and Deep Q-Networks (DQN/DDQN). The problem ...
Research Scientist, Reinforcement Learning
New York, NY · On-site
$120K - $180K/yr
... and Bayesian optimization. You will work on developing agents that can learn efficient policies in complex, partially observable environments by leveraging structured world models. The immediate ...
Research Scientist, Reinforcement Learning
New York, NY · On-site
$120K - $180K/yr
... and Bayesian optimization. You will work on developing agents that can learn efficient policies in complex, partially observable environments by leveraging structured world models. The immediate ...
Software Engineer
New York, NY · On-site
$210K - $265K/yr
Bayesian optimization loops, experiment scheduling, long-running job execution, retries, idempotency * Data pipelines for ingesting, transforming, and serving data to models and LLMs What We're ...
Software Engineer
New York, NY · On-site
$210K - $265K/yr
Bayesian optimization loops, experiment scheduling, long-running job execution, retries, idempotency * Data pipelines for ingesting, transforming, and serving data to models and LLMs What We're ...
Software Engineer
$210K - $265K/yr
Bayesian optimization loops, experiment scheduling, long-running job execution, retries, idempotency * Data pipelines for ingesting, transforming, and serving data to models and LLMs What We're ...
Quick apply
Software Engineer
$210K - $265K/yr
Bayesian optimization loops, experiment scheduling, long-running job execution, retries, idempotency * Data pipelines for ingesting, transforming, and serving data to models and LLMs What We're ...
Software Engineer
New York, NY · On-site
$210K - $265K/yr
Bayesian optimization loops, experiment scheduling, long-running job execution, retries, idempotency * Data pipelines for ingesting, transforming, and serving data to models and LLMs What We're ...
Software Engineer
New York, NY · On-site
$210K - $265K/yr
Bayesian optimization loops, experiment scheduling, long-running job execution, retries, idempotency * Data pipelines for ingesting, transforming, and serving data to models and LLMs What We're ...
ML Solution Consultant
New York, NY · On-site
$110K - $130K/yr
Familiarity with Bayesian optimization, design of experiments (DoE), or active learning methods in applied settings Why This Role * Applied ML that reaches the real world: Your work accelerates R&D ...
ML Solution Consultant
New York, NY · On-site
$110K - $130K/yr
Familiarity with Bayesian optimization, design of experiments (DoE), or active learning methods in applied settings Why This Role * Applied ML that reaches the real world: Your work accelerates R&D ...
Design and iterate models that estimate fair market value, recovery potential, and optimal ... Strong modeling and experimentation skills (Python, SQL, Bayesian / probabilistic modeling)
Design and iterate models that estimate fair market value, recovery potential, and optimal ... Strong modeling and experimentation skills (Python, SQL, Bayesian / probabilistic modeling)
Sr. Machine Learning Engineer, AdTech
$61.25 - $81.25/hr
Python, Algorithms, Optimisation, NLP, Data Mining, Statistical Analysis, Neural Networks ... Bayesian inference) - ML & DS (e.g., dimensionality reduction, geometry of PCA / SVD and of L1 / L2 ...
Sr. Machine Learning Engineer, AdTech
$61.25 - $81.25/hr
Python, Algorithms, Optimisation, NLP, Data Mining, Statistical Analysis, Neural Networks ... Bayesian inference) - ML & DS (e.g., dimensionality reduction, geometry of PCA / SVD and of L1 / L2 ...
Blend multiple alpha forecasts into meta-models and portfolio signals, leveraging ensemble and Bayesian methods. * Develop portfolio construction and optimization techniques and analysis tools to be ...
Quick apply
Blend multiple alpha forecasts into meta-models and portfolio signals, leveraging ensemble and Bayesian methods. * Develop portfolio construction and optimization techniques and analysis tools to be ...
Blend multiple alpha forecasts into meta-models and portfolio signals, leveraging ensemble and Bayesian methods. * Develop portfolio construction and optimization techniques and analysis tools to be ...
Blend multiple alpha forecasts into meta-models and portfolio signals, leveraging ensemble and Bayesian methods. * Develop portfolio construction and optimization techniques and analysis tools to be ...
Quantitative Researcher - Data Science
New York, NY · On-site
$185K/yr
Bayesian statistics; Optimization; Scientific computing/numerical analysis; Analyzing large datasets and fitting, evaluating, deploying statistical/ML models; Writing high-quality code in a ...
Quantitative Researcher - Data Science
New York, NY · On-site
$185K/yr
Bayesian statistics; Optimization; Scientific computing/numerical analysis; Analyzing large datasets and fitting, evaluating, deploying statistical/ML models; Writing high-quality code in a ...
Bayesian statistics; Optimization; Scientific computing/numerical analysis; Analyzing large datasets and fitting, evaluating, deploying statistical/ML models; Writing high-quality code in a ...
Bayesian statistics; Optimization; Scientific computing/numerical analysis; Analyzing large datasets and fitting, evaluating, deploying statistical/ML models; Writing high-quality code in a ...
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture ... Familiarity with Bayesian modeling and its applications in marketing * Familiarity with AI-assisted ...
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture ... Familiarity with Bayesian modeling and its applications in marketing * Familiarity with AI-assisted ...
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture ... Familiarity with Bayesian modeling and its applications in marketing * Familiarity with AI-assisted ...
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture ... Familiarity with Bayesian modeling and its applications in marketing * Familiarity with AI-assisted ...
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture ... Familiarity with Bayesian modeling and its applications in marketing * Familiarity with AI-assisted ...
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture ... Familiarity with Bayesian modeling and its applications in marketing * Familiarity with AI-assisted ...
Principal Data Scientist
Manhattan, NY · On-site
$180 - $260/hr
... optimization * Lead the design and development of novel machine learning and statistical approaches, including probabilistic graphical models, Bayesian methods, deep learning architectures, and ...
Principal Data Scientist
Manhattan, NY · On-site
$180 - $260/hr
... optimization * Lead the design and development of novel machine learning and statistical approaches, including probabilistic graphical models, Bayesian methods, deep learning architectures, and ...
Portfolio Quant Developer
New York, NY · On-site
Familiarity with Black-Litterman, shrinkage estimators, robust optimization, or Bayesian approaches to portfolio construction * Familiarity with hierarchical risk parity, equal risk contribution, or ...
Portfolio Quant Developer
New York, NY · On-site
Familiarity with Black-Litterman, shrinkage estimators, robust optimization, or Bayesian approaches to portfolio construction * Familiarity with hierarchical risk parity, equal risk contribution, or ...
Bayesian Optimization information
What is the difference between Bayesian Optimization vs Data Scientist?
| Aspect | Bayesian Optimization | Data Scientist |
|---|---|---|
| Primary Focus | Optimizing complex functions and hyperparameters | Analyzing data, building models, deriving insights |
| Required Skills | Statistics, probability, machine learning, programming | Statistics, programming, data analysis, visualization |
| Work Environment | Research labs, AI/ML teams, R&D departments | Business, tech companies, consulting firms |
| Common Tools | Python, R, Bayesian libraries (e.g., GPy, scikit-optimize) | Python, R, SQL, visualization tools |
Bayesian Optimization is a specialized technique used within machine learning and AI to efficiently tune hyperparameters or optimize functions. Data Scientists often utilize Bayesian Optimization as part of their toolkit but have broader responsibilities, including data analysis, modeling, and reporting. While Bayesian Optimization focuses on optimization tasks, Data Scientists work on understanding and interpreting data to inform business decisions.
What are popular job titles related to Bayesian Optimization jobs in New York? For Bayesian Optimization jobs in New York, the most frequently searched job titles are:
- Contract Compiler Engineer
- Hourly Remote Machine Learning Engineer
- Biostatistician Consultant
- Full Time Machine Learning Engineer New Grad
- Machine Learning Engineer Apprenticeship
- Live In Quantum Photonics
- Contractual Neuroscience Postdoc
- Temporary Databricks
- Nlp Research Scientist
- Entry Level Generative Ai Prompt Engineer
What job categories do people searching Bayesian Optimization jobs in New York look for? The top searched job categories for Bayesian Optimization jobs in New York are:
What cities in New York are hiring for Bayesian Optimization jobs? Cities in New York with the most Bayesian Optimization job openings:
Intuit rating
8.4
Based on 91 frontline employees who took The Breakroom Quiz
86th of 242 rated software companies
Job description
Overview
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New York $209,500 - $283,500
Intuit is looking for an innovative and hands-on Staff AI Scientist to join the Intuit AI team.
Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches.
Responsibilities
- Practices leadership and communication skills to influence teams and to evangelize AI science across the organization
- Collaborates with stakeholders to define success criteria and align model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
- Leads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team’s work, and holding the team accountable for high quality code, git, design, costs and implementation standards
- Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them “model-ready”. You need to be willing and able to do your own ETL and design/build featurization.
- Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
- Runs A/B tests to draw conclusions on the impact of your team’s work and communicates results to peers and leaders
- Communicates with partners to ensure successful delivery and integration of DS solutions.
- Proactively researches, explores, and enables new ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems.
Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
Qualifications
- 4+ years of industry experience with AI science
- BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent
- 4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning.
- Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.
- Proficient in NLP techniques, Explainable AI, and ML frameworks.
- Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R.
- Efficient in SQL, Hive, SparkSQL, etc.
- Comfortable working in a Linux environment
- Experience with building end-to-end reusable pipelines from data acquisition to model output delivery
- Quick learner, adaptable, with the ability to work independently in a fast-paced environment
- Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users
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Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:New York $209,500 - $283,500