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Applied Ml Scientist Jobs (NOW HIRING)

PDT Partners

Applied ML Scientist

New York, NY · On-site

$190K - $250K/yr

Applied ML scientists are expected to navigate quantitative and technical challenges within a project to advance our research methodology. They will have ample opportunity to collaborate with our ...

PDT Partners

Applied ML Scientist

New York, NY · Hybrid

$190K - $250K/yr

Applied ML scientists are expected to navigate quantitative and technical challenges within a project to advance our research methodology. They will have ample opportunity to collaborate with our ...

Hexion

Applied ML Scientist - Chemistry

Columbus, OH · On-site

Lead ML model development for prediction and optimization across chemistry, formulation, property ... Minimum Qualifications * Bachelor's degree in Computer Science, Data Science, Computational ...

Faire

Staff Applied AI/ML Scientist

San Francisco, CA

$246K - $339K/yr

Our highly skilled team of Applied AI/ML Scientists specialize in developing algorithmic solutions for recommender systems, spend optimization, lifetime value (LTV) predictions, and much more. Our ...

Capital Rx

Staff Applied AI/ML Scientist

Charlotte, NC · On-site

Join our mission to infusecutting-edgeAI/ML/GenAI into healthcare as a Staff Applied AI/ML Scientist.We are seeking Artificial Intelligence (AI) specialists to join our team and contribute to the ...

Capital Rx

Staff Applied AI/ML Scientist

Denver, CO · On-site

Join our mission to infusecutting-edgeAI/ML/GenAI into healthcare as a Staff Applied AI/ML Scientist.We are seeking Artificial Intelligence (AI) specialists to join our team and contribute to the ...

Capital Rx

Staff Applied AI/ML Scientist

Manhattan, NY · On-site

Join our mission to infusecutting-edgeAI/ML/GenAI into healthcare as a Staff Applied AI/ML Scientist.We are seeking Artificial Intelligence (AI) specialists to join our team and contribute to the ...

Judi Health

Staff Applied AI/ML Scientist

Charlotte, NC · On-site

Join our mission to infuse cutting-edge AI/ML/GenAI into healthcare as a Staff Applied AI/ML Scientist. We are seeking Artificial Intelligence (AI) specialists to join our team and contribute to the ...

Lululemon

Applied AI/ML Scientist

Seattle, WA · On-site

Core responsibilities As an Applied AI/ML Scientist, you design, develop, test, and optimize AI/ML solutions that address defined business problems, with an emphasis on applied modeling ...

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Applied Ml Scientist information

What is an applied ML scientist?

An Applied Machine Learning (ML) Scientist is a professional who designs, develops, and implements machine learning models to solve real-world problems. They focus on applying ML techniques to practical applications, working with data, algorithms, and software engineering to build scalable solutions. Applied ML Scientists often collaborate with data engineers, software developers, and business stakeholders to deploy models and improve products or services. Their work requires strong knowledge of statistics, programming, and domain expertise to ensure the models are accurate and effective.

What are the key skills and qualifications needed to thrive as an applied ML scientist?

To excel as an Applied ML Scientist, a strong background in computer science, mathematics, and statistics, often supported by an advanced degree, is essential. Familiarity with programming languages like Python or R, experience with ML frameworks such as TensorFlow or PyTorch, and proficiency in data manipulation tools are typically required. Strong problem-solving abilities, communication skills, and a collaborative mindset help differentiate top performers in this role. These competencies are crucial for developing robust machine learning solutions that address real-world challenges and drive impactful results.

How does an applied ML scientist typically collaborate with cross-functional teams during a project?

As an Applied ML Scientist, you will regularly collaborate with data engineers, product managers, domain experts, and software developers to bring machine learning solutions from concept to production. This collaboration often involves translating business objectives into ML tasks, developing and testing models, and working with engineering teams to deploy solutions at scale. Effective communication is key, as you will need to explain complex technical concepts to non-technical stakeholders and ensure that models align with user needs and organizational goals.

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Applied ML Scientist

New York, NY • On-site

PDT Partners
Investment Management and Consulting Services • 51 - 200 employees
Learn more about PDT Partnersexternal

$190K - $250K/yr

Full-time

Re-posted 6 days ago

Job description

PDT, a quantitative investment manager, is hiring problem solvers who blend programming and applied research experience. Individuals in this role will devise, implement, evaluate, and iterate to create and improve statistical methods vetting them through direct application to enhancing our trading strategies. Applied ML scientists are expected to navigate quantitative and technical challenges within a project to advance our research methodology. They will have ample opportunity to collaborate with our deep bench of senior researchers and technologists.
PDTers are creative, energetic, friendly, entrepreneurial, and collaborative. If you could walk around our office, you'd see that we're a focused, intent, and nimble company with none of the attitude and bureaucracy of a stereotypical Wall Street trading firm. We love to work on challenging and complicated problems, that in return give a chance to make outsized, direct impact on our bottom line. For the right talent, there is fantastic growth potential.
This is a hybrid position and will require the person to work from our New York City office at minimum 3 days a week.
Why join us?
PDT Partners has a 30+ year track record and a reputation for excellence. Our goal is to be the best quantitative investment manager in the world-measured by the quality of our products, not their size. PDT's very high employee-retention rate speaks for itself. Our people are intellectually extraordinary and our community is close-knit, down-to-earth, and diverse.
Responsibilities:
  • Work closely with senior researchers on a variety of trading strategies and research projects, with the opportunity to conduct independent research and originate research topics over time
  • Contribute to the long-term success of our research-driven algorithmic trading business

Below is a list of skills and experiences we think are relevant. Even if you don't think you're a perfect match, we still encourage you to apply because we are committed to developing our people
  • Solid mathematical and analytical ability; exceptional problem-solving and modeling ability
  • Research intuition
  • Experience in programming (Python, R, Matlab, C++)
  • Excellent communication and collaborative white board skills
  • Meticulous and detail-oriented, and innately driven to understand issues deeply
  • Experience with/interested in working with large data sets
  • Self-motivated and highly-productive, with a strong sense of ownership and urgency
  • Able to work collaboratively and productively with others
  • Enjoy solving complex, difficult, real-world problems
  • Entrepreneurial and creative
  • Finance knowledge is not required or expected
  • PhD preferred
  • Undergraduate or Masters degree with equivalent industry experience in machine learning
    • 2+ years of applied machine learning research experience
  • Strong publication record
  • Experience with the Python scientific stack

We take research seriously. Beyond your resume, we want to understand your research history and the papers most relevant to evaluating your candidacy. We strongly encourage you to answer all application questions and allow us to understand you as a researcher and determine where you would be the strongest fit in our team.
The salary range for this role is between $190,000 and $250,000. This range is not inclusive of any potential bonus amounts. Factors that may impact the agreed upon salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other external factors.
PRIVACY STATEMENT: For information on ways PDT may collect, use, and process your personal information, please see PDT's privacy notices.

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