AI Machine Learning Scientist Job at Elevance Health (INDIANAPOLIS)

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

Principal Machine Learning Data Scientist, Gen AI

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI tea...

Location

United States , Waltham

Salary:

164000.00 - 213000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred
7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision
Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs)
Experience with multimodal data processing (e.g., combining text, image, and 3D data)
Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy
Strong background in probability, statistics, and optimization techniques relevant to generative modeling
Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker)
Familiar with software engineering principles, including version control, reproducibility, and continuous integration

Job Responsibility

Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development
Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry’s business objectives
Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents
Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models
Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models
Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment
Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications
Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities
Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment
Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development

What we offer

401(k) match
medical, dental and vision insurance
life and disability insurance
generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
EAP, other wellbeing resources

Fulltime

Principal Machine Learning Data Scientist, Gen AI

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI tea...

Location

United States , Denver

Salary:

164000.00 - 213000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred
7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision
Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs)
Experience with multimodal data processing (e.g., combining text, image, and 3D data)
Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy
Strong background in probability, statistics, and optimization techniques relevant to generative modeling
Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker)
Familiar with software engineering principles, including version control, reproducibility, and continuous integration

Job Responsibility

Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development
Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry’s business objectives
Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents
Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models
Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models
Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment
Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications
Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities
Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment
Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development

What we offer

401(k) match
medical, dental and vision insurance
life and disability insurance
generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
EAP, other wellbeing resources

Fulltime

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AI Machine Learning Scientist

Job Responsibility

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