7,702 AI And Machine Learning jobs in the United States

AI/ML Developer (Healthcare)

A leading healthcare company is seeking a skilled AI/Machine Learning Developer to join its R&D team.

The Role:

You'll be a key member of a cross-functional team, working alongside data scientists, clinicians, and software engineers to design, build, and deploy AI/ML models. Your primary focus will be on developing internal applications.

Responsibilities:

• Collaborate with stakeholders to identify opportunities where AI/ML can create significant internal impact.
• Extract, transform, and preprocess data to build accurate and reliable AI/ML models.

Ideal Experience:

• Bachelor's degree in Computer Science or a related quantitative field. A Master's degree is a plus.
• 6+ years of professional software development experience.
• 3+ years of experience with ML or deep learning is preferred.
• Strong proficiency in programming languages commonly used for AI/ML (e.g., Python, Java).

About Treering

Treering, a Silicon Valley-based tech company, helps people preserve and celebrate their memories. By combining just-in-time digital printing with the power of AI tools, Treering delivers personalized keepsakes that celebrate important milestones and events.

About the Role

We are seeking a highly skilled AI Engineer to lead the maintenance and enhancement of our existing AI solutions. This role will be crucial in ensuring the smooth operation and continuous improvement of our AI-driven product generation process. You will be working with a suite of APIs designed to analyze, score, and rank photos, making critical decisions to automatically generate photobooks, yearbooks, and other print-on-demand products.

Key Responsibilities:

• AI Systems Maintenance: Maintain and optimize existing AI solutions, including APIs for photo analysis, scoring, and ranking.
• Enhancement and Development: Develop and enhance AI models and algorithms to improve the accuracy and efficiency of automated product generation.
• API Management: Oversee and manage the suite of APIs used in our AI solutions.
• Cloud Infrastructure: Utilize and manage AWS services such as Rekognition, Lambda, SageMaker, Step Functions, SQS, OpenSearch, S3, and RDS.
• State Machine Management: Design, implement, and manage state machines for orchestrating AI processes.
• Programming: Write and maintain Python code for AI models and API development.
• Monitoring and Troubleshooting: Monitor AI system performance, troubleshoot issues, and implement solutions.
• Collaboration: Work closely with cross-functional teams to integrate AI solutions into the overall product workflow.

What We're Looking For:

• Bachelor's or higher degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• 6+ years of experience in AI development and deployment.
• Strong proficiency in Python programming.
• Extensive experience with AWS services, including:
• Rekognition, Lambda, SageMaker, Step Functions, State Machines, SQS, OpenSearch, S3, RDS
• Experience with API development and management.
• Solid understanding of machine learning algorithms and in techniques.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Strong leadership and mentoring abilities.

Why Join Treering?

• Impact: Your work directly contributes to modernizing the yearbook industry.
• Innovation: Work with cutting-edge technologies in an agile environment.
• Growth: Opportunities for career advancement and professional development.
• Culture: A collaborative, inclusive, and supportive team environment.

Benefits:

• Comprehensive medical, dental, vision, life/AD&D, and disability coverage
• Pre-tax savings/spending plans, including HSA employer contributions
• Parental Leave Benefits
• Pre-tax and Roth 401(k) plan with an employer contribution
• Flexible vacation for salaried
• Twelve paid holidays throughout the year

$180,000 - $200,000 a year

If you are an experienced software engineer who thrives in a dynamic environment and is passionate about designing and implementing innovative web solutions, we invite you to apply.

About the job AI/Machine Learning Engineer

Job Description: Our client is seeking a highly skilled and motivated AI/Machine Learning Engineer to join their team. As an AI/Machine Learning Engineer, you will play a crucial role in developing and implementing cutting-edge machine learning algorithms and AI models to solve complex problems and drive innovation. You will work closely with a cross-functional team of data scientists, software engineers, and domain experts to design, train, evaluate, and deploy machine learning models in production environments.

Responsibilities:

• Design and develop machine learning models and algorithms for various applications, such as natural language processing, computer vision, predictive analytics, and recommendation systems.
• Collaborate with data scientists, software engineers, and domain experts to understand project requirements, identify data sources, and define appropriate machine learning approaches.
• Preprocess and clean large datasets to extract relevant features and optimize model performance.
• Implement and fine-tune machine learning models using popular frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn.
• Conduct experiments to evaluate model performance, analyze results, and iterate on model designs to achieve optimal accuracy, efficiency, and scalability.
• Collaborate with software engineering teams to integrate machine learning models into production systems and deploy them at scale.
• Monitor and maintain deployed models, ensuring their performance and reliability over time.
• Stay up to date with the latest advancements in machine learning and AI technologies, and proactively propose innovative solutions and improvements.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
• Strong background in machine learning, artificial intelligence, and statistical analysis.
• Demonstrated experience in designing, developing, and deploying machine learning models and algorithms.
• Proficiency in programming languages such as Python, R, or Java, with a solid understanding of data structures, algorithms, and software engineering principles.
• Hands-on experience with popular machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn.
• Familiarity with deep learning techniques and frameworks, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Strong analytical and problem-solving skills, with the ability to think critically and creatively to tackle complex challenges.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
• Ability to adapt quickly to new technologies and methodologies in the rapidly evolving field of AI and machine learning.

Preferred Qualifications:

• Experience with cloud platforms (e.g., AWS, Azure, or GCP) and distributed computing frameworks (e.g., Apache Spark) for training and deploying machine learning models at scale.
• Knowledge of big data technologies, such as Hadoop and Spark, for processing and analyzing large datasets.
• Experience with computer vision, natural language processing, or other specialized domains within AI/ML.
• Publications or contributions to the AI/ML community, such as research papers or open-source projects.

**AI Machine Learning Scientist**
**Location:** Atlanta, GA; Richmond, VA; Indianapolis, IN; Mason, OH; Chicago, IL (preferred). This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office.
Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.
_PLEASE NOTE: This position is not eligible for current or future visa sponsorship._
The **AI Machine Learning Scientist** is responsible for Artificial Intelligence (AI) scientific and statistical methods to assist with product creation, development and improvement.
**How you will make an impact:**
+ Develops and maintains infrastructure systems that connect internal data sets.
+ Creates new data collection frameworks for structured and unstructured data.
+ Leads enterprise-scale AI initiatives by designing horizontal capabilities such as RAG, evaluations-as-a-service, prompt/version control, guardrails, feature, and vector stores, adopted across business units.
+ Develops, analyzes, and models complex operational, clinical, and economic data, while delivering end-to-end ML systems (XGBoost / LightGBM) and LLM systems with clear SLOs.
+ Architects scalable solutions including cloud lakehouse (Databricks / Spark, SQL), streaming (Kafka/Kinesis), and API-first approaches; oversees serving technologies (vLLM / Triton / KServe / Ray / SageMaker).
+ Establishes and manages LLMOps / MLOps processes using tools like MLflow, CI/CD, and IaC, focusing on observability, drift detection, hallucination rates, and maintaining SLOs/SLAs.
+ Implements data leadership strategies that include data contracts, quality SLAs, and FHIR-aware design for PHI/PII, with a focus on embedding/vectorization strategies.
+ Develops Responsible AI frameworks including fairness/robustness evaluations, red-teaming, and model risk management, ensuring audit readiness (HIPAA, SOC 2, HITRUST).
+ Defines visions and OKRs for strategy and portfolio management, orchestrating build-buy-partner decisions and optimizing ROI and FinOps, while influencing VP/C-suite and ensuring cross-functional alignment.
+ Mentors principal and lead contributors, drives design reviews, and oversees Agile/SAFe delivery across multiple teams.
+ Demonstrates proven outcomes by shipping AI products with measurable clinical and business impact.
+ Develop experimental and analytic plans for machine learning algorithms and data modeling processes
+ Use of strong baselines.
+ Determines cause and effect relations.
**Minimum 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.
**Preferred Skills, Capabilities & Experiences:**
+ Prefer Master's or PhD. degrees in a quantitative field (or equivalent) and 6+ years of experience in building production ML/LLM systems, with leadership in multi-team programs.
**For candidates working in person or virtually in the below location(s), the salary* range for this specific position is $138,160 to $207,240**
**Locations: Chicago, IL**
**In addition to your salary, Elevance Health offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). The salary offered for this specific position is based on a number of legitimate, non-discriminatory factors set by the Company. The Company is fully committed to ensuring equal pay opportunities for equal work regardless of gender, race, or any other category protected by federal, state, and local pay equity laws.**
*** The salary range is the range Elevance Health in good faith believes is the range of possible compensation for this role at the time of this posting. This range may be modified in the future and actual compensation may vary from posting based on geographic location, work experience, education and/or skill level. Even within the range, the actual compensation will vary depending on the above factors as well as market/business considerations. No amount is considered to be wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.**
Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health.
Who We Are
Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve.
How We Work
At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business.
We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few.
Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process.
The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws.
Elevance Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact for assistance.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

**About the Role**
We are looking for an **Evaluation Scientist** who can work across both **hands-on experimentation** and **automation infrastructure** . This role begins with running **manual evaluations** (e.g., executing and monitoring individual experiments) and progresses toward building **scripts, tools, and infrastructure** that streamline and automate these processes, with the long-term goal of reducing manual work as much as possible.
The ideal candidate will also bring expertise in **coding agents** and **quality evaluation** , enabling them to design robust experiments and improve workflows. While the role will receive high-level guidance, candidates should be able to **independently define and implement the lower-level details** of experiment setup after ramping up. For example, given a high-level requirement for a new type of evaluation, the candidate should be able to **propose and execute an implementation plan** with detailed steps, metrics, and automation in place.
**Key Responsibilities**
+ Run and manage **manual evaluation experiments** across AI/ML systems.
+ Develop and maintain **automation infrastructure** (scripts, pipelines, tools) to reduce manual evaluation work.
+ Design and execute **new types of evaluations** , translating broad research questions into structured experiment setups.
+ Work with **coding agents** and applied ML workflows to define and measure quality.
+ Define **metrics, benchmarks, and evaluation criteria** to assess performance and identify gaps.
+ Collaborate with research leads to align evaluation design with project goals while owning **implementation details** .
+ Ensure reproducibility, consistency, and scalability of evaluation processes.
**Qualifications**
+ Strong coding skills in **Python** (or equivalent) for scripting, automation, and experiment design.
+ Experience with **running and analyzing experiments** , including quality evaluation methodologies.
+ Knowledge of **coding agents, ML models, or applied automation frameworks** .
+ Ability to **work independently** : take high-level requirements and define detailed steps for execution.
+ 2-4 years of hands-on experience in **evaluation, scripting, or applied data science/ML** (academic or industry).
+ Strong analytical skills with experience in **data handling, reporting, and experiment analysis** .
**Preferred Skills**
+ Familiarity with **evaluation frameworks** and automation tools in AI/ML research.
+ Experience in **building scalable infrastructure** for experiments or evaluations.
+ Knowledge of **experimental design, statistical testing, or quality benchmarking** .

The Artificial Intelligence & Machine Learning Engineer/Scientist I works within the Artificial Intelligence Operations and Services group (AIOS) in the Informatics & Analytics department of Dana-Farber Cancer Institute.
This role provides support in machine learning, NLP, and computer vision to build reuseable and scalable AI/ML tools and pipelines to support Dana-Farber operations, research, and clinical practice.
The role operates in a matrixed team environment, collaborating with client-facing leads, software engineers, product managers, project managers, project sponsors, and clients.
The Informatics & Analytics department serves patients, present and future, by collaboratively building a sustainable informatics and analytics ecosystem of tools and services to support and grow the Institute's research, clinical, and business missions. The AIOS group provides services related to AI, machine learning, computer vision, NLP, production deployment, cloud infrastructure, data engineering, project management standards, and data labeling.
Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.
+ Contribute to the development,deployment, and monitoring of AI solutions, supporting scalable and efficient practices to ensure reliable telemetry tracking, model performance monitoring, and cross-platform efficiency.
+ Assist in implementing and maintaining data and machine learning solutions, helping to manage models throughout their lifecycle to ensure they are well-organized, auditable, and maintain high accuracy.
+ Support the creation and maintenance of CI/CD pipelines for machine learning models in cloud environments, including workflows for batch, online, streaming, and edge training/inference.
+ Elicit functional requirements from end users and data science teams, utilizing methods such as user interviews, mockups, wireframes, end-to-end testing, prototypes, GUI designs, and use cases.
+ Provide updates on assigned tasks and project progress to multiple groups include the AIOS team, client-facing leads, project sponsors, business owners, and internal stakeholders.
+ Work effectively as part of a team, contributing to shared goals and supporting the success of projects and initiatives.
+ Bachelor's degree in a related field (Computer Science, Data Science, Engineering) required.
+ Master's degree preferred.
+ 1 year of work experience in machine learning and AI required.
+ Relevant lab work and research projects, teaching assistantships, internships, cooperative education programs undertaken during an advanced degree program may be considered toward qualifying work experience.
+ Experience within a clinical or research environment preferred.
**KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:**
+ Excellent communication and effective problem-solving skills.
+ Track record in serving a variety of diverse customers and projects.
+ Ability to work independently, prioritize, and adapt to meet the evolving needs of the Institute.
+ Familiarity with Python.
+ R, Databricks, and/or Snowflake experience preferred.
+ Experience with one of the following: MLOPS and ML engineering; GenAI and agentic AI; AL/ML and data science; data engineering and pipelines.
At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff that offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.
Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.
**EEOC Poster**

**AI Machine Learning Scientist**
**Location:** Atlanta, GA; Richmond, VA; Indianapolis, IN; Mason, OH; Chicago, IL (preferred). This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office.
Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.
_PLEASE NOTE: This position is not eligible for current or future visa sponsorship._
The **AI Machine Learning Scientist** is responsible for Artificial Intelligence (AI) scientific and statistical methods to assist with product creation, development and improvement.
**How you will make an impact:**
+ Develops and maintains infrastructure systems that connect internal data sets.
+ Creates new data collection frameworks for structured and unstructured data.
+ Leads enterprise-scale AI initiatives by designing horizontal capabilities such as RAG, evaluations-as-a-service, prompt/version control, guardrails, feature, and vector stores, adopted across business units.
+ Develops, analyzes, and models complex operational, clinical, and economic data, while delivering end-to-end ML systems (XGBoost / LightGBM) and LLM systems with clear SLOs.
+ Architects scalable solutions including cloud lakehouse (Databricks / Spark, SQL), streaming (Kafka/Kinesis), and API-first approaches; oversees serving technologies (vLLM / Triton / KServe / Ray / SageMaker).
+ Establishes and manages LLMOps / MLOps processes using tools like MLflow, CI/CD, and IaC, focusing on observability, drift detection, hallucination rates, and maintaining SLOs/SLAs.
+ Implements data leadership strategies that include data contracts, quality SLAs, and FHIR-aware design for PHI/PII, with a focus on embedding/vectorization strategies.
+ Develops Responsible AI frameworks including fairness/robustness evaluations, red-teaming, and model risk management, ensuring audit readiness (HIPAA, SOC 2, HITRUST).
+ Defines visions and OKRs for strategy and portfolio management, orchestrating build-buy-partner decisions and optimizing ROI and FinOps, while influencing VP/C-suite and ensuring cross-functional alignment.
+ Mentors principal and lead contributors, drives design reviews, and oversees Agile/SAFe delivery across multiple teams.
+ Demonstrates proven outcomes by shipping AI products with measurable clinical and business impact.
+ Develop experimental and analytic plans for machine learning algorithms and data modeling processes
+ Use of strong baselines.
+ Determines cause and effect relations.
**Minimum 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.
**Preferred Skills, Capabilities & Experiences:**
+ Prefer Master's or PhD. degrees in a quantitative field (or equivalent) and 6+ years of experience in building production ML/LLM systems, with leadership in multi-team programs.
**For candidates working in person or virtually in the below location(s), the salary* range for this specific position is $138,160 to $207,240**
**Locations: Chicago, IL**
**In addition to your salary, Elevance Health offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). The salary offered for this specific position is based on a number of legitimate, non-discriminatory factors set by the Company. The Company is fully committed to ensuring equal pay opportunities for equal work regardless of gender, race, or any other category protected by federal, state, and local pay equity laws.**
*** The salary range is the range Elevance Health in good faith believes is the range of possible compensation for this role at the time of this posting. This range may be modified in the future and actual compensation may vary from posting based on geographic location, work experience, education and/or skill level. Even within the range, the actual compensation will vary depending on the above factors as well as market/business considerations. No amount is considered to be wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.**
Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health.
Who We Are
Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve.
How We Work
At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business.
We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few.
Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process.
The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws.
Elevance Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact for assistance.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

**AI Machine Learning Scientist**
**Location:** Atlanta, GA; Richmond, VA; Indianapolis, IN; Mason, OH; Chicago, IL (preferred). This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office.
Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.
_PLEASE NOTE: This position is not eligible for current or future visa sponsorship._
The **AI Machine Learning Scientist** is responsible for Artificial Intelligence (AI) scientific and statistical methods to assist with product creation, development and improvement.
**How you will make an impact:**
+ Develops and maintains infrastructure systems that connect internal data sets.
+ Creates new data collection frameworks for structured and unstructured data.
+ Leads enterprise-scale AI initiatives by designing horizontal capabilities such as RAG, evaluations-as-a-service, prompt/version control, guardrails, feature, and vector stores, adopted across business units.
+ Develops, analyzes, and models complex operational, clinical, and economic data, while delivering end-to-end ML systems (XGBoost / LightGBM) and LLM systems with clear SLOs.
+ Architects scalable solutions including cloud lakehouse (Databricks / Spark, SQL), streaming (Kafka/Kinesis), and API-first approaches; oversees serving technologies (vLLM / Triton / KServe / Ray / SageMaker).
+ Establishes and manages LLMOps / MLOps processes using tools like MLflow, CI/CD, and IaC, focusing on observability, drift detection, hallucination rates, and maintaining SLOs/SLAs.
+ Implements data leadership strategies that include data contracts, quality SLAs, and FHIR-aware design for PHI/PII, with a focus on embedding/vectorization strategies.
+ Develops Responsible AI frameworks including fairness/robustness evaluations, red-teaming, and model risk management, ensuring audit readiness (HIPAA, SOC 2, HITRUST).
+ Defines visions and OKRs for strategy and portfolio management, orchestrating build-buy-partner decisions and optimizing ROI and FinOps, while influencing VP/C-suite and ensuring cross-functional alignment.
+ Mentors principal and lead contributors, drives design reviews, and oversees Agile/SAFe delivery across multiple teams.
+ Demonstrates proven outcomes by shipping AI products with measurable clinical and business impact.
+ Develop experimental and analytic plans for machine learning algorithms and data modeling processes
+ Use of strong baselines.
+ Determines cause and effect relations.
**Minimum 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.
**Preferred Skills, Capabilities & Experiences:**
+ Prefer Master's or PhD. degrees in a quantitative field (or equivalent) and 6+ years of experience in building production ML/LLM systems, with leadership in multi-team programs.
**For candidates working in person or virtually in the below location(s), the salary* range for this specific position is $138,160 to $207,240**
**Locations: Chicago, IL**
**In addition to your salary, Elevance Health offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). The salary offered for this specific position is based on a number of legitimate, non-discriminatory factors set by the Company. The Company is fully committed to ensuring equal pay opportunities for equal work regardless of gender, race, or any other category protected by federal, state, and local pay equity laws.**
*** The salary range is the range Elevance Health in good faith believes is the range of possible compensation for this role at the time of this posting. This range may be modified in the future and actual compensation may vary from posting based on geographic location, work experience, education and/or skill level. Even within the range, the actual compensation will vary depending on the above factors as well as market/business considerations. No amount is considered to be wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.**
Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health.
Who We Are
Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve.
How We Work
At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business.
We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few.
Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process.
The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws.
Elevance Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact for assistance.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

**Description**
SAIC is seeking a **AI Machine Learning Engineer** to help transition to new Artificial Intelligence (AI) technologies, modernizing current collection processes. In this role you will be expected to train machine learning models and provide support for the productization and development of AI-based systems for use as part of the Customer's collection mechanisms. This Customer Office is the force of choice for the development of global infrastructure and delivery of solutions that drive influence operations.
This position is in **Chantilly, VA** and requires an **active TS/SCI clearance with Polygraph.**
**JOB RESPONSIBILITES INCLUDE:**
+ Train machine learning models in a variety of ways, to meet a variety of functions, including but not limited to:
+ Synthesis of code to be used for automated webscrapes.
+ Automation of other functions related to webscrapes.
+ Detection and "self-healing" of scrapes.
+ Automated visual detection of object types (like types of vehicles, license plates, etc.) within video data.
+ Automated review and analysis of terms of service of companies.
+ Automating open source collection of data that could be used to train AI/ML systems and models.
+ Provide Model training based on training data that may need to be acquired from other components.
+ Create complete AI-based systems, which may include multiple inputs, models, human-review processes and outputs ETL processes and databases.
+ Provide Productization and development of AI-bases systems for use as part of collection mechanisms.
+ Provide support to operational elements that are using these systems including break fix work and software updates.
+ Research AL/ML technologies in open source to ensure that applicable cutting edge technologies and capabilities are being brought to bear on Sponsor efforts.
+ Support the efforts to collaborate with other elements across the Sponsor and community that are engaged in AI efforts.
+ Frame and scale data problems to effectively analyze, visualize and find data solutions.
+ Develop and support scalable and secure functionality into software applications, focusing on integrating and implementing Artificial Intelligence (AI) algorithms and logic into the deliverables of an IT project.
+ Understand business objectives and develop models that help to achieve them, along with metrics to track progress.
+ Derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to specific research questions.
+ Analyze technology trends related to Artificial Intelligence (AI) and Machine Learning (ML), and their strategic implications.
+ Perform independent technical research in relevant areas; robotics, autonomy, software, engineering, data analysis.
+ Collaborate with customers and stakeholders to understand and assess business requirements and define AI solutions to align with architectural framework and meet business needs.
+ Program a system to look for or seek out specific conditions and respond based on those factors.
**Qualifications**
+ Active TS/SCI with polygraph.
+ Bachelors in computer science, information systems, or a related field and 9 years or more experience; Masters and 7 years or more experience ; PhD or JD and 4 years or more experience.
+ Demonstrated experience with the ability to understand and automate customer workflows and business processes with AI solutions.
+ Demonstrated experience in data structures, data modeling, and software architecture.
+ Demonstrated, in-depth experience and knowledge of machine learning tools and frameworks such as PyTorch, and Tensorflow.
+ Extensive math and computer science skills, with a deep understanding of probability, statistics, and algorithms.
+ Ability to program in AI/ML specific languages, such as Python, Jav, C++, and Conda.
+ Experience training AI models, as well as in integrating pre-trained models into dataflows and software architectures.
**DESIRED SKILLS:**
+ Experience implementing secure AI solutions in the Intelligence Community.
+ Ability to work with highly sensitive data sets.
+ Experience in leading AI/ML initiatives.
+ In-depth knowledge of implementing ETL (Enhance/Transform/Load) pipeline.
+ In-depth knowledge in implementing solutions in Amazon Web Services.
REQNUMBER:
SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability