Ai Machine Learning Scientist Job at Elevance Health (Richmond)

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AI Machine Learning Scientist

The AI Machine Learning Scientist plays a critical role in enabling the responsi...

Location

United States , Richmond; Tampa; Atlanta; Indianapolis

Salary:

Not provided

Elevance Health

Expiration Date

June 26, 2026

Requirements

Requires a Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent degree and 4 or more years of experience
or any combination of education and experience in configuration management, which would provide an equivalent background.

Job Responsibility

Design, develop, and deploy AI/ML and Generative AI solutions that address business and operational challenges at enterprise scale
Develops and maintains infrastructure systems that connect internal data sets
creates new data collection frameworks for structured and unstructured data
Develop reusable AI capabilities including RAG pipelines, vector search, semantic retrieval, prompt orchestration, and agentic workflows
Implement evaluation frameworks and automated testing strategies to measure model quality, accuracy, bias, safety, and performance
Establish monitoring, observability, and governance processes to ensure AI systems remain reliable and compliant in production
Drive adoption of Responsible AI practices by implementing evaluation standards, audit-ready documentation, and model governance controls
Optimize AI systems for scalability, latency, reliability, and cost efficiency.

What we offer

Merit increases
paid holidays
Paid Time Off
incentive bonus programs
medical, dental, vision, short and long term disability benefits
401(k) +match
stock purchase plan
life insurance
wellness programs
financial education resources

Fulltime

AI Machine Learning Scientist

Location

United States of America , INDIANAPOLIS

Salary:

Not provided

Elevance Health

Expiration Date

July 15, 2026

Requirements

Bachelor’s degree in a highly quantitative field: Computer Science, Machine Learning, Operational Research, Analytics, Statistics, Mathematics, or a related field of study
Four (4) years of Information Technology (IT) experience, or related experience
Experience with Machine Learning techniques including supervised learning (linear regression and classification) and unsupervised learning (clustering)
Experience with Deep Learning techniques including convolutional neural networks, recurrent neural networks, and reinforcement learning
Experience using Python programming language
Experience with big data technologies including Hadoop, Apache Spark, and AWS
Experience with relational database management and SQL
Experience with Natural Language Processing (NLP) techniques including sentiment analysis and text classification
Experience with statistical analysis and application of statistical methods
Employer will accept a Master’s degree in a highly quantitative field: Computer Science, Machine Learning, Operational Research, Analytics, Statistics, Mathematics, or a related field of study and Two (2) years of Information Technology (IT) experience, or related. Must have the skills listed above.

Job Responsibility

Leverage Artificial Intelligence (AI) scientific and statistical methods to assist with product creation, development, and improvement
Engage with product teams and business stakeholders to align on project objectives and ensure AI models meet business goals
Lead initiatives for developing Machine Learning (ML), Natural Language Processing (NLP), and Large Language Models (LLM) LLM models
Play a critical role in steering the strategic direction for ML, NLP, LLM, and algorithm development within the company’s AI/ML team, collaborating with distinguished experts in AI/ML modeling, ML engineering, data science, and data engineering
Define and articulate roadmaps for AI/ML model development, acting as a key figure in AI-driven transformation to deliver value internally and to customers
Design and develop customized ML, GenAI, NLP, and LLM models for both batch and stream processing-based AI/ML pipelines. This includes handling data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), and ensuring that complete solutions meet all technical and business requirements, as well as Service Level Agreement (SLA) specifications
Work closely with MLOps, machine learning engineers, and software engineers to ensure seamless integration of machine learning models into production systems
Collaborate with the MLOps team to create and maintain strong evaluation solutions and tools that assess model performance, accuracy, consistency, and reliability during development and UAT
Mentor junior team members and influence the strategic direction of our ML and data science projects.

What we offer

merit increases
paid holidays
Paid Time Off
incentive bonus programs
medical
dental
vision
short and long term disability benefits
401(k) +match
stock purchase plan

Fulltime

Research Scientist, AI/ Machine Learning

Seeking an AI‑driven Research Scientist to push the boundaries of immuno‑oncolog...

Location

United States , Cambridge

Salary:

Not provided

Proclinical

Expiration Date

Until further notice

Requirements

PhD in Computational Chemistry/Biology, Machine Learning, Biomedical/Chemical Engineering, or a related field
Strong background in oligonucleotide chemistry and antibody design
Proven experience in computational modeling of antibody-antigen interactions
Expertise in probabilistic learning, deep learning models (e.g., RNNs, GNNs, Transformers), and generative AI
Proficiency in programming languages such as Python, R, and SQL, with hands-on experience in frameworks like PyTorch, TensorFlow, or JAX
Experience developing machine learning models for DNA, RNA, and proteins, including language models and structure prediction
Familiarity with large-scale computing, cloud infrastructures, and database systems
Knowledge of tools like AWS, GitHub/GitLab, and Docker containers
Strong communication skills to collaborate effectively with multidisciplinary teams
Commitment to teamwork and continuous learning

Job Responsibility

Design and implement advanced AI/ML approaches for antibody discovery, including fine-tuning protein language models and generative protein design workflows
Develop scalable machine learning methods for multi-objective optimization of biologics such as antibodies, antigens, ADCs, and other modalities
Build sequence-aware predictive models to prioritize ASO designs based on exon-skipping responses across diverse targets and modalities
Create reproducible computational frameworks for biologics, encompassing data ingestion, feature engineering, model training, validation, and deployment
Curate and harmonize datasets, defining robust sequence and structure features to drive model performance
Establish benchmarks and collaborate with experimental teams to validate predictions
Evaluate and adopt tools to enhance modeling workflows and decision support systems
Maintain a clean, well-documented codebase and provide user guidance for cross-functional teams
Perform additional related tasks as assigned

Principal Data Scientist – AI & Machine Learning

We’re partnering with a highly respected, data driven organisation in the altern...

Location

United Kingdom , London

Salary:

100000.00 - 125000.00 GBP / Year

Myn

Expiration Date

Until further notice

Requirements

6–12 years’ experience in data science, currently operating at Principal level
Strong grounding in machine learning fundamentals (supervised learning essential)
Proven experience delivering production-grade ML solutions
Strong Python and SQL skills
Experience with experimentation and data-driven decision making
Ability to operate as a hands-on technical leader (not pure management)
Advanced degree (Master’s or PhD) in a quantitative field

Job Responsibility

Design, build, and deploy machine learning models (prediction, classification)
Own delivery of data science solutions from problem definition to production
Lead experimentation and A/B testing to drive continuous improvement
Collaborate cross functionally with product, engineering, and commercial teams
Mentor and elevate a high-performing team of data scientists and ML engineers
Contribute to AI strategy, including developments in generative AI

What we offer

10% discretionary bonus
equity scheme

Fulltime

Senior Machine Learning Scientist (Generative AI)

About Viator: Viator, a Tripadvisor company, is the leading marketplace for trav...

Location

United Kingdom; Poland

Salary:

Not provided

Tripadvisor

Expiration Date

Until further notice

Requirements

5+ years of hands-on data science experience
At least 2 years of experience with LLM
Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring
In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries
Strong skills in SQL
Strong skills in at least one programming language
Comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments
Experience in deploying online solutions and analysing real-time results through A/B testing
Passionate about mentoring junior members of the team
Leadership qualities, autonomy, and team collaboration skills

Job Responsibility

Research, prototype, and productionize generative AI models
Develop scalable GenAI pipelines that generate high-quality content, from product descriptions, reviews, titles, and other product content
Design and evaluate prompt tuning strategies and RAG systems to ensure factual and engaging outputs
Fine-tune foundation models and develop domain-specific adapters using techniques like LoRA, PEFT, and instruction tuning
Define best practices for model monitoring, including output quality, hallucination detection, and user feedback loops
Understanding use cases for Agentic AI communicating your findings with the wider ML team and product
Utilize RLHF methodologies to build feedback mechanisms that directly shape the behavior and quality of our generative AI outputs
Collaborate cross-functionally with product, design, and engineering to integrate models into user-facing applications
Stay up to date with the latest in GenAI research and help shape internal best practices
Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency

What we offer

Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus
“Work your way” with flexibility to suit your lifestyle
Flexible schedule
Donation matching
Tuition assistance
Lifestyle benefit (annual benefit to spend on yourself)
Travel perks
Employee assistance program
Health benefits

Principal AI and Machine Learning Scientist

Join the AWMT AI/ML Team – Drive Innovation in Advice and Wealth Management We'r...

Location

United States , Malvern; Charlotte

Salary:

Not provided

Vanguard

Expiration Date

Until further notice

Requirements

Leads the execution of large scale, more complex analytics projects
Applies significant quality control and risk assessment of the model, methodologies, outputs, and processes for major data science projects
Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making
Creates alternative model approaches to assess complex model design and advance future capabilities
Mentors and develops junior data scientists and analysts
Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps
Engages with senior leadership to understand and probe business processes in order to develop hypotheses
Brings structure to requests and translates requirements into an analytic approach
Guides test design, research design, and model validation
Provides statistical consultation services

Job Responsibility

Design, validate, and evolve LLMs and intelligent agents to deliver explainable, trustworthy recommendations in financial advice and portfolio management
Collaborate closely with engineers and cross-functional teams to improve LLM prompting, accuracy, and system reliability
Build and train machine learning models that enable hyper-personalized portfolios while proactively identifying and mitigating risks and anomalies
Lead and contribute to groundbreaking Gen AI initiatives, offering strategic guidance and technical expertise from concept to launch
Conduct deep-dive diagnostic, predictive, and prescriptive analytics to support data-driven decision-making
Develop alternative modeling approaches to tackle complex challenges and push the boundaries of our capabilities
Mentor and support junior data scientists and analysts, fostering a culture of growth and innovation

What we offer

Competitive compensation packages
Industry-leading retirement savings plans
Best-in-class medical coverage
On-site clinics and fitness centers
Savings plans for medical expenses now and in retirement
Access to leading mental health resources and providers
Generous paid time off
Educational and training opportunities
Leadership support
Educational assistance plans

Machine Learning Scientist II - Gen AI

We are seeking a highly motivated and experienced Machine Learning Scientist to ...

Location

United States , Boston

Salary:

127300.00 - 186700.00 USD / Year

SimpliSafe

Expiration Date

Until further notice

Requirements

MS or PhD in Computer Science, Artificial Intelligence, or a related field
Experience training or fine-tuning large language models (LLMs) using modern frameworks
Strong grasp of deep learning, particularly transformer architectures and foundational model training techniques for text and vision modalities
Proficient in Python and relevant ML libraries (e.g., PyTorch, TensorFlow, HuggingFace Transformers)
Hands-on experience in developing and deploying LLM- or VLM-powered applications
Familiarity with prompt engineering, retrieval-augmented generation (RAG), MCP (Model Context Protocol, Agentic AI and evaluation of generative models
Understanding of MLOps practices and how to scale experiments into production-grade solutions
Strong communication and documentation skills
Collaborative mindset with the ability to thrive in a fast-paced, interdisciplinary environment

Job Responsibility

Develop and fine-tune large language models (LLMs) and vision-language models (VLMs) to address real-world challenges in the home security space
Work with key stakeholders to identify key research initiatives that can have impact on business outcomes
Take research initiatives from idea generation to production
Collaborate with engineers and product managers to integrate capabilities into our existing systems
Stay up-to-date on the latest advancements in LLMs, VLMs, and multimodal systems. Evaluate new techniques for potential adoption and improvement of internal capabilities

What we offer

A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive
A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families
Free SimpliSafe system and professional monitoring for your home
Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change
Participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits

Fulltime

Sr. Scientist, UberEats Applied AI (Machine Learning)

Working at Uber means solving hard problems in a high-stakes, fast-moving enviro...

Location

United States , San Francisco; Sunnyvale

Salary:

190000.00 - 211000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields
Minimum 4 years of industry experience as an Applied or Data Scientist or equivalent (2+ years if holding a Ph.D.)
Proficiency in Python or R with experience handling large-scale datasets using Spark, Hive, or PySpark
Proven experience in building and training Deep Learning models
Solid understanding of statistical methods, experimental design, and A/B testing

Job Responsibility

Design and implement ML algorithms and objective functions that unify competing business interests like organic relevance and sponsored content into a single value space
Act as the science lead for foundational machine learning initiatives, unblocking technical debt and optimizing feature engineering for high-scale, real-time systems
Navigate the ambiguity of user behavior by designing sophisticated experiments and causal inference frameworks that go beyond standard A/B testing
Collaborate across disciplines (Product, Engineering, and Data Science) to translate high-level business goals into theoretically sound and performant technical roadmaps
Research and apply advancements in Deep Learning, Reinforcement Learning, and GenAI to solve complex, high-impact problems without a clear starting point
Own your algorithms/ML workflow, from the first scientific hypothesis to debugging production issues in real-time, low-latency environments

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits (details at provided link)

Fulltime

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Ai Machine Learning Scientist

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