Research Scientist jobs

Essential Responsibilities:

• Develop and optimize machine learning models for various applications.
• Preprocess and analyze large datasets to extract meaningful insights.
• Deploy ML solutions into production environments using appropriate tools and frameworks.
• Collaborate with cross-functional teams to integrate ML models into products and services.
• Monitor and evaluate the performance of deployed models.

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
• Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
• Several years of experience in designing, implementing, and deploying machine learning models.

Key Responsibilities:

• Research and develop large-scale foundation models, including continuous pre-training, supervised fine-tuning, and alignment techniques

• Design novel architectures and training methodologies for domain-specific language models in financial services

• Build scalable ML pipelines for foundation model training, evaluation, and deployment at enterprise scale

• Conduct rigorous experimentation and benchmarking to ensure model quality, safety, and performance

• Deploy foundation models into production environments to drive business insights and enhance customer experiences

• Collaborate with cross-functional teams to identify high-impact use cases and translate research into practical solutions

• Stay current with latest developments in LLM and LLM-Agent research and contribute to the broader AI/ML community through publications and open-source contributions

• Mentor junior researchers and contribute to technical strategy for foundation model initiatives

Preferred Qualifications:

• PhD in Computer Science, Machine Learning, AI, or related field with focus on large language models and LLM Agent

• 1-3+ years of hands-on experience training and deploying large-scale language models (7B+ parameters)

• Deep expertise in transformer architectures, attention mechanisms, and modern training techniques

• Experience with distributed training frameworks (PyTorch, JAX, DeepSpeed, etc.)

• Strong background in NLP, deep learning, and statistical machine learning

• Proven track record of research publications in top-tier venues (NeurIPS, ICML, ACL, etc.)

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Lead the development and implementation of advanced data science models.
• Collaborate with stakeholders to understand requirements.
• Drive best practices in data science.
• Ensure data quality and integrity in all processes.
• Mentor and guide junior data scientists.
• Stay updated with the latest trends in data science.

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Our Benefits:

Any general requests for consideration of your skills, please

Job Description:

Minimum Requirements: Master’s degree, or foreign equivalent, in Data Science, Data Analytics, or a closely related field plus two years of experience in the job offered or a related occupation.

Special Skill Requirements:

• Performing scalable analysis using R and Python [2 years]

• Database query languages including SQL [2 years]

• Statistical analysis, including descriptive statistics, correlation, regression, or confidence intervals [2 years]

• Developing relevant metrics or KPIs to measure performance by product teams [2 years]

• Debugging and monitoring for production services [2 years]

• Experimentation techniques including A/B testing or simulation [1.5 years]

• Quantitative modeling, including machine learning models, time series forecasting or casual impact analyses [1.5 years]

• Data analysis or machine learning systems [2 years]

Salary:$174,304.00-243,500.00per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

Must be legally authorized to work in the U.S. without sponsorship.

Our Benefits:

Any general requests for consideration of your skills, please

This role requires advanced account review and problem solving skills. Primary responsibilities include loss mitigation of delinquent or charged accounts. Navigates a computerized data entry system and other relevant applications. They understand account terms, regulatory and compliance requirements that apply to the process and are able to work within these guidelines. Also, must adhere to internal operational and financial controls and ensures that they are observed for all assigned cases. May provide support to and training to other researchers within the department.

Required Qualifications:

• Self-motivated and goal oriented
• Ability to adapt quickly to changes in the environment
• Must be detail oriented, an independent thinker, and able to handle multiple tasks concurrently
• Must be able to work in a team environment
• Ability to navigate multiple computer systems simultaneously
• Ability to think critically and use sound judgment in decision making
• Analytical and problem resolution skills

Desired Qualifications:

• Previous Collections or Recovery experience
• College degree or commensurate work experience preferred
• Knowledge of Deposit

High School Diploma / GED / Secondary School or equivalent

Research & Adjustments Rep II is responsible for resolving research and adjustment inquiries within the bank's practices and procedures. Key responsibilities include maintaining internal operational and financial controls and ensuring that they are observed for all assigned cases. Job expectations include ensuring that all cases are resolved in compliance with industry regulations and bank procedures, integrity levels of the department's case management system, and financial controls, and escalating matters or issues to leadership to ensure minimum risk occurs.

Required Skills:

• Typing proficiency: A fast and accurate typing speed is crucial for this position.
• Must be detail oriented with excellent attention to detail: This position requires carefully checking for errors in information being entered and able to handle multiple tasks concurrently.
• Ability to research and collect data: ability to input information accurately and efficiently while maintaining focus and following proper procedures.
• Time management: Completing tasks within deadlines and managing workload effectively.
• Communication skills: Ability to communicate clearly with colleagues regarding data entry processes and any issues.
• Software knowledge: Familiarity with basic office software like spreadsheets (Excel) and databases is essential.
• Organizational skills: Effectively managing data entry tasks by prioritizing and structuring work.
• Concentration ability: Maintaining focus while performing repetitive data entry tasks.

Desired Skills:

• Self-motivated and goal oriented
• Ability to adapt quickly to changes in the environment
• Must be detail oriented, an independent thinker, and able to handle multiple tasks concurrently
• Must be able to work in a team environment
• Ability to navigate multiple computer systems simultaneously
• Ability to think critically and use sound judgment in decision making
• Analytical and problem resolution skills
• Previous Collections or Recovery experience
• College degree or commensurate work experience preferred

High School Diploma / GED / Secondary School or equivalent