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Advanced Analytics Engineer Jobs

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Machine Learning Engineer 2, Business Platform

Intuit Mountain View, CA

Mountain View, CA

Today

$141k - $190k/yr Full time Python A/B Testing Advanced Analytics

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Job Description

Intuit seeks a Machine Learning Engineer 2 to join a data science team responsible for conceiving, coding, and deploying data science models at scale. The role emphasizes data preparation, model development and deployment, experimentation through A/B testing and statistical analysis, and the building of agentic systems.

Responsibilities

Identify data sources, obtain access, import datasets, clean and prepare data, and enable datasets to be “machine learning ready”.
Collaborate with data scientists to create and refine features from underlying data and to build pipelines used for training and deployment.
Partner with data scientists to understand, implement, refine, and design machine learning and other algorithms.
Run recurring A/B tests, collect results, conduct statistical analysis, and draw conclusions regarding model impact.
Work cross-functionally with product managers, data scientists, and product engineers, communicating findings to peers and leaders.
Evaluate emerging technology shifts to assess how they may support customer benefits.

Requirements

BS, MS, or PhD degree in Computer Science or a related field (or equivalent work experience).
1+ years of experience.
Working knowledge of data science tools and frameworks, including Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, and Spark.
Basic understanding of machine learning techniques such as classification, regression, and clustering.
Knowledge of machine learning principles including training and validation.
Familiarity with data query and data processing tools, including SQL.
Computer science fundamentals including data structures, algorithms, performance complexity, and how computer architecture influences software performance such as I/O and memory tuning.
Software engineering fundamentals, including version control systems (Git, Github), workflows, and the ability to write production-ready code.
Experience deploying highly scalable software supporting millions or more users.
Experience with GPU acceleration, including CUDA and cuDNN.
Experience integrating applications and platforms with cloud technologies, including AWS and GCP.
Strong oral and written communication skills, including the ability to lead meetings, present professionally, and explain complex technical concepts to non-technical users.

Technologies

Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark
SQL, Git, Github, CUDA, cuDNN
AWS, GCP

Role Overview

The Machine Learning Engineer 2 will be embedded within a data science organization. The position involves helping conceive, code, and deploy data science models at scale using current industry tools. Key focus areas include data wrangling, scaled model deployments, model development, and building agentic systems.

Location and Compensation

Location: Mountain View, CA (onsite). Salary: USD 140,500 to 190,000 per year.

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1mo ago

Senior Machine Learning Engineer

TikTok USDS JV Los Angeles, CA

Los Angeles, CA

1mo ago Closed

$178k - $416k/yr Full time Ad Tech Advanced Analytics Ai Ml

This position is no longer accepting applications (closed Sep 20, 2026).

Job Description

Lead the development of scalable machine learning systems for TikTok shopping ad ranking and marketing optimization on open-loop and closed-loop formats.

Build and scale ML systems: develop state-of-the-art models and scalable pipelines to improve ad ranking quality
Optimize advertiser marketing strategies: improve outcomes across click-through rate prediction, conversion rate prediction, intelligent format selection, and user journey optimization
Improve ad relevance and delivery: use modern ML to increase ad relevance, quality, and quantity delivered to end-users
Feature and model experimentation: explore, develop, and run experiments on new features to improve model accuracy
Business and platform understanding: align model work with ads platform objectives to drive measurable improvements
Cross-functional collaboration: work with Global counterparts, Product Managers, Designers, and other disciplines to shape next-generation shopping experiences on TikTok

Requirements

Self-driven growth mindset: highly self-motivated to drive business growth and foster technical advancement
Programming and data skills: proficiency with SQL and Python and experience with data manipulation
Big data and distributed systems: experience with frameworks such as Hadoop and Spark and distributed computing for efficient data mining on large-scale datasets
ML fundamentals: strong understanding of machine learning and deep learning concepts including feature engineering, model evaluation, and optimization
Analytics and problem-solving: strong ability to handle complex and unstructured datasets and derive actionable insights
Education: Master’s or advanced degree in Computer Science, Data Science, Statistics, or a related field
Experience: 5+ years experience as a Machine Learning Engineer and/or Data Scientist; causal machine learning experience is preferred
Domain experience: user growth, marketing algorithms, recommendation algorithms, advertisement algorithms, or related fields is preferred
Communication: excellent communication and collaboration skills, including the ability to explain technical concepts to non-technical stakeholders

Technologies

SQL
Python
Hadoop
Spark

Compensation

Base salary range (Los Angeles, CA): USD 177,688 - 416,100 per year
Pay note: compensation may vary based on qualifications, skills, competencies, experience, and location

Benefits

Medical, dental, and vision insurance
401(k) savings plan with company match
Paid parental leave
Short-term and long-term disability coverage
Life insurance
Wellbeing benefits
10 paid holidays per year
10 paid sick days per year
17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)
Additional discretionary bonuses/incentives
Restricted stock units

Reasonable Accommodation

USDS is committed to providing reasonable accommodations in recruitment for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other legally protected reasons
Request assistance or accommodations: https://tinyurl.com/USDS-RA

Los Angeles County (Unincorporated) Fair Chance

Qualified applicants with arrest or conviction records will be considered in accordance with federal, state, and local laws, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act
Criminal history may negatively affect duties involving: interacting and occasionally having unsupervised contact with internal/external clients or colleagues; handling and managing confidential proprietary/trade secret information; and access to information technology systems, including exercising sound judgment

Location: Los Angeles, CA (onsite)

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2mo ago

AI Engineer Analytics

Infosys Dallas, TX

Dallas, TX

2mo ago Closed

Full time Advanced Analytics Ai Engineering Analytics

This position is no longer accepting applications (closed Sep 6, 2026).

Job Description

Infosys is seeking an AI Engineer/Analytics professional in Dallas, TX (onsite) to build predictive and advanced analytics capabilities, from data preparation through deployment, with ongoing model governance and improvement. The role emphasizes forecasting, LLM-based approaches, scalable production delivery, and data-driven insights that support business outcomes.

Responsibilities

Develop data preparation tasks, including identification of patterns or anomalies.
Ensure data readiness for advanced modeling and analytics execution.
Build models for complex use cases such as forecasting and LLM-based solutions, refining algorithms to align with business needs and enabling scalable, production-ready deployment.
Perform testing and optimize algorithms for performance, reliability, and scalability.
Provide guidance to team members by sharing best practices.
Design and develop predictive models and data-driven analyses to address business challenges.
Build, evaluate, and deploy models; standardize code; and contribute to knowledge management.
Leverage SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, including analytics enhancements involving LLMs, with a focus on innovative and cost-effective solutions.
Define analytics problems for projects and support execution of visualization, analysis, and predictive modeling under guidance.
Proactively maintain models and implement improvements to strengthen accuracy and reliability.
Apply governance controls to mitigate risks and support compliance requirements.
Analyze performance trends, recommend improvements, and document discrepancies for escalation.
Maintain comprehensive documentation and participate in knowledge transfer sessions.
Engage with stakeholders to refine requirements, provide insights, and guide implementation.
Apply a predefined quality measurement framework at the individual task level in the project.
Deploy complex analytics tools or multi-system integrations, validating deployment success.
Participate in developing scripts or templates to support repeated deployment tasks.
Contribute to analytic solutions, IP asset creation, and training initiatives.
Support thought leadership through papers, innovative models spanning non-ML, ML, deep learning, and LLM proof-of-concepts.
Participate in analytics training and contribute to content creation.
Provide input for segment and unit-level business plans and support business planning with data-driven insights.

Required Technologies

SAS
R
Python
LLMs
Non-ML
ML
Deep learning

Role Focus

The position centers on delivering scalable, high-quality analytics solutions aligned to business needs, including optimization, deployment, and ongoing model performance improvement. It also emphasizes knowledge sharing, training, and standardization to enable team growth, while supporting business planning through data-driven insights.

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2mo ago

Sr Machine Learning Engineer

Disney Entertainment and ESPN Product & Technology Seattle, WA

Seattle, WA

2mo ago Closed

$142k - $199k/yr Full time Advanced Analytics Ai Ml Analytics

This position is no longer accepting applications (closed Sep 6, 2026).

Job Description

Build scalable machine learning services for ad selection and decisioning across Disney Entertainment and ESPN platforms.

Responsibilities

Design, implement, and test ad-serving logic that satisfies business criteria using rule-based and/or ML-based approaches
Deliver solutions for a high-throughput, low-latency microservices environment
Improve system observability by defining and implementing metrics, monitors, and alerts
Review product user stories and translate them into actionable backend and frontend tasks
Own one or more areas of the team’s domain
Use automated AI tools in accordance with company policy
Participate in On-Call rotations per the team’s escalation policy and support schedule

Requirements

BS or MS in Computer Science / Engineering or relevant work experience
5+ years of software engineering with ML experience
Proficiency with Java
Experience with large scale ML/DL platforms and processing technology stacks
Hands-on large scale machine learning experience with tools such as scikit-learn, Spark MLLib, and pytorch
Experience building LLM-based applications using providers such as AWS Bedrock, Azure Cognitive Services, or Google Vertex AI
Experience with agent frameworks including LangGraph, Crew AI, and strands sdk
Experience with vector databases and retrieval-augmented generation
Demonstrated analytical and problem-solving skills; strong knowledge of implementing AI/ML and applying mathematical and statistical concepts
Strong communication and collaboration with both technical and non-technical partners

Technologies

Java, SpringBoot, Spring
scikit-learn, Spark MLLib, pytorch
AWS Bedrock, Azure Cognitive Services, Google Vertex AI
LangGraph, Crew AI, strands sdk
Vector databases, retrieval-augmented generation
DynamoDB, Redis, ValKey, MemCache
Apache Kafka, Kinesis
AWS, Terraform, Docker, Kubernetes

Preferred Qualifications

Experience with SpringBoot and related Spring projects
Experience with DynamoDB and other non-relational databases
Experience with caching datastores such as Redis, ValKey, or MemCache
Experience with data streaming mechanisms such as Apache Kafka and/or Kinesis
Experience with AWS
Experience with modern DevOps tools including Terraform, Docker, and Kubernetes
Domain knowledge in Ad Tech

Location & Schedule

Seattle, WA (onsite)
Engineers are expected to be in the office four days a week
Also hiring in Glendale, Seattle, San Francisco, or Santa Monica

Salary

USD 141,900 - 199,400 per year

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2mo ago

Senior Distinguished AI Engineer

Capital One New York, NY

New York, NY

2mo ago Closed

$343k - $392k/yr Full time Senior Advanced Analytics Ai Guardrails

This position is no longer accepting applications (closed Sep 4, 2026).

Job Description

Capital One is hiring a Senior Distinguished AI Engineer to help build and deploy responsible, scalable AI systems. Joining the Intelligent Foundations and Experiences (IFX) team, you will work across the full lifecycle of foundational AI, including foundation model and LLM components, guardrails, evaluation, experimentation, governance, and observability. This onsite role is based in New York, NY, with an annual salary range of USD 343,400 - 392,000.

The IFX team is central to turning Capital One’s AI vision into production capabilities. You will contribute to technical direction and help evolve the long term roadmap for foundational AI systems.

What you’ll do

Collaborate with a cross-functional group of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that impact how associates work and how customers interact with Capital One.
Design, develop, test, deploy, and support AI software components across the stack, including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
Build with a broad set of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
Develop and introduce state-of-the-art LLM optimization techniques to improve production performance, including scalability, cost, latency, and throughput.
Help shape the technical vision and long-term roadmap for foundational AI systems at Capital One.

Basic qualifications

Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field plus at least 10 years of experience developing AI and ML algorithms or technologies; or Master’s degree plus at least 8 years of experience developing AI and ML algorithms or technologies.
At least 10 years of experience programming with Python, Go, Scala, or Java.

Preferred qualifications

9 years of experience deploying scalable and responsible AI solutions on cloud platforms (for example, AWS, Google Cloud, Azure, or equivalent private cloud).
Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems.
Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level.
Experience developing AI and ML algorithms or technologies (including LLM Inference, Similarity Search and VectorDBs, Guardrails, and Memory) using Python, C++, C#, Java, or Golang.
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost.
Strong communication and presentation skills to articulate complex AI concepts to peers.

Eligibility and workplace notes

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
This role is eligible to earn performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI).
Expected application acceptance: minimum of 5 business days.
No agencies please.
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
Capital One promotes a drug-free workplace.
Capital One does not provide, endorse, or guarantee third-party products, services, educational tools, or other information available through this site.
Capital One Financial includes multiple entities; positions may correspond to different entities depending on posting location.

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2mo ago

Machine Learning Engineer

Photon New Jersey

New Jersey

2mo ago Closed

Full time Python Advanced Analytics Ai Ml

This position is no longer accepting applications (closed Aug 30, 2026).

Job Description

Photon offers an onsite role in New Jersey that emphasizes collaboration, real-world impact, and continuous growth. As a Machine Learning Engineer, you will design and deploy analytics models that address concrete business challenges, partner with product and engineering teams to deliver end-to-end ML solutions, and push models into production. This position centers on practical application of statistics and machine learning using Python, Spark, and Databricks, with the opportunity to influence customer experiences and key business decisions.

Responsibilities

Analyze business use cases and craft analytics models using appropriate statistical and machine learning techniques tailored to specific needs.
Develop machine learning algorithms to personalize customer experiences and generate actionable insights.
Apply data mining and machine learning methods, including forecasting, prediction, segmentation, recommendation, and fraud detection.
Augment company data by integrating third-party sources to expand analytics capabilities.
Enhance data collection processes to capture information essential for analytics systems.
Prepare raw data for analysis by cleaning data, imputing missing values, and standardizing formats using Python data frameworks such as Pandas and NumPy.
Implement machine learning models with a focus on performance and scalability using PySpark in Databricks.
Design and build infrastructure to enable large-scale data analytics and experimentation.
Utilize tools like Jupyter Notebooks for data exploration and model development.

Requirements

Undergraduate or graduate degree in Computer Science, Mathematics, Physics, or related fields; PhD preferred but not necessary.
At least five years of experience in data analytics with a solid grounding in core statistical algorithms such as classification and regression.
Strong experience with Python based machine learning libraries including scikit-learn, TensorFlow, and PyTorch.
Proficiency with analytics platforms like Databricks for large-scale data processing.
At least four years of continuous experience with Spark, with emphasis on PySpark.
Hands-on experience with data processing and analysis tools such as Pandas, NumPy, and Jupyter Notebooks.

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2mo ago

Principal Data Analyst/Developer Engineer

JANSON Fairfax, VA

Fairfax, VA

2mo ago Closed

$150k - $190k/yr Full time Senior Advanced Analytics Analyst

This position is no longer accepting applications (closed Aug 30, 2026).

Job Description

Join JANSON in driving analytics for Army Vantage enablement through a role that blends hands-on analytics delivery, instructional design, and technical mentorship. This onsite position in Wiesbaden, Germany offers a salary of USD 150,000 to 190,000 per year, a clear path to impact, and the chance to shape training and reuseable analytics practices across programs. Candidates should hold a Master’s degree and have at least 2 years of relevant experience, with an active Secret security clearance or eligibility to obtain one. The start is immediate, and the role centers on aligning operational needs with robust analytics solutions and targeted training.

JANSON is an equal employment opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Join us in delivering signature excellence, where precision meets purpose.

Responsibilities

Oversee the development and deployment of prototype level predictive analytics and dashboards.
Act as the primary instructor for ORSA level and advanced analytics training.
Steer the creation of reusable analytics patterns and governance standards.
Coach mid level and junior personnel.
Ensure analytics products are instructional, reusable, and sustainment-ready.
Design and supervise Army Vantage specific training curricula aligned to USAREUR-AF personas (executives, staff, analysts, ORSAs).
Lead advanced training events including ORSA sessions and executive-level courses.
Ensure training materials emphasize Army Vantage workflows, access controls, classification, and reuse rather than generic analytics tools.
Review and approve training content created by junior staff for technical accuracy and instructional quality.
Drive the development of instructional analytics products with dashboards and workflows that serve as teaching exemplars.
Incorporate data lineage, version control, and collaborative development practices into training demonstrations.
Mentor mid-level personnel on instructional techniques, classroom delivery, and Army training event facilitation.
Serve as the primary technical advisor supporting data program design and execution.
Ensure training events align with organizational change objectives and adoption milestones in the statement of work.
Lead after-action reviews of training events and integrate feedback into future deliveries.

Requirements

Active Secret security clearance or eligible to obtain and maintain one.
Ability to operate in classified and unclassified environments, including NIPRNet systems.
Strong written and verbal communication skills for interactions with military and civilian personnel.
Willingness to travel up to 10 percent for in-person training and operational support.
Proven ability to learn new tools, workflows, and operating contexts quickly.
Team-oriented and capable of collaborating with diverse Army and contractor personnel.