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senior mech product design engineer, data center eng, mechanical products and services Jobs in Seattle

ml engineer

YO IT Consulting

<div>
 
 Job Title:
 
 AI/ML Engineer
 
 
 
 Job Type:
 
 Full-Time
 
 
 
 Job Summary
 
 
 
 Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you&rsquo;ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You&rsquo;ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
 </li>
 <li>
 Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
 </li>
 <li>
 Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
 </li>
 <li>
 Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
 </li>
 <li>
 Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
 </li>
 <li>
 Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
 </li>
 <li>
 Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
 </li>
 <li>
 Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
 </li>
 <li>
 Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
 </li>
 <li>
 Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
 </li>
 <li>
 Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
 </li>
 <li>
 Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
 </li>
 <li>
 Exceptional written and verbal communication skills for effective collaboration and documentation.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
 </li>
 <li>
 Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
 </li>
 <li>
 Prior exposure to government or highly regulated cloud environments and compliance standards.
 </li>
 </ul>
</div>

Artificial Intelligence Engineer – Remote

SIDRAM TECHNOLOGIES

<div>
 
 Hi
 
 
 
 
 This is
 
 Rachael
 
 from SidRam Tech, We have an urgent position
 
 
 Sr Data Scientist @Seattle, Washington, with our Direct client. Kindly have a look at JD below and let me know your interest.
 
 
 
 
 Title: Sr Data Scientist
 
 
 
 
 Client: Savers Inc
 
 
 
 
 Location: Seattle, Washington,
 
 
 
 
 Preferred Hybrid, 2 Days a Week-
 
 
 
 Skills: Machine Learning, Azure Machine Learning, Artificial Intelligence, MLOps, AI Solution Architecture ,Microsoft Azure ,Microsoft Fabric
 
 
 Interview process: Two with Tavant + Client round
 
 
 Note: at least one in-person meeting is mandatory
 
 
 
 Job Description
 
 
 
 We are looking for a Senior Data Scientist with strong classical ML expertise to design, build, and operationalize predictive models within the
 
 Microsoft Fabric
 
 ecosystem. You will work on high-impact use cases spanning demand forecasting, risk scoring, and anomaly detection for large-scale retail environments &mdash; translating raw data signals into actionable business intelligence.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and develop end-to-end classical ML pipelines &mdash; from feature engineering to model deployment and monitoring
 </li>
 <li>
 Build demand forecasting models leveraging external data signals (weather, events, seasonality) alongside historical sales data, at store/category/SKU level with 1&ndash;14 day horizons
 </li>
 <li>
 Develop ML-based risk scoring models across multiple fraud and exception scenarios, replacing manual rule-based processes with adaptive, dynamic thresholds
 </li>
 <li>
 Deliver daily prioritized outputs (investigation lists, inventory signals) that reduce detection and decision cycles from weeks to days
 </li>
 <li>
 Own model validation, threshold tuning, false positive reduction, and ongoing performance monitoring in production
 </li>
 <li>
 Collaborate with data engineers on feature pipelines using Microsoft Fabric Lakehouse, Dataflow Gen2, and OneLake
 </li>
 <li>
 Participate in iterative pilot-to-production delivery cycles with structured feedback incorporation
 </li>
 <li>
 Communicate model outputs and business impact clearly to both technical teams and business stakeholders
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 8&ndash;12 years of hands-on Data Science experience with a strong foundation in classical ML
 </li>
 <li>
 Proficiency in supervised and unsupervised ML techniques &mdash; gradient boosting, regression, classification, anomaly detection, time-series forecasting (XGBoost, LightGBM, scikit-learn, Prophet, statsmodels)
 </li>
 <li>
 Strong hands-on experience with Microsoft Fabric &mdash; ML Experiments, Notebooks (Python/PySpark), Lakehouse, Pipelines, and Dataflow Gen2
 </li>
 <li>
 Solid Python programming skills with experience building production-grade ML code
 </li>
 <li>
 Experience with MLflow for experiment tracking, model registry, and lifecycle management (native within Fabric)
 </li>
 <li>
 Proven experience building time-series forecasting models at granular levels (store, SKU, or category)
 </li>
 <li>
 Experience with anomaly detection and risk/fraud scoring models in retail or financial domains
 </li>
 <li>
 Strong skills in feature engineering, cross-validation, model interpretability (SHAP, LIME), and drift detection
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 Experience integrating external data enrichment sources (weather APIs, economic indicators, third-party signals)
 </li>
 <li>
 Familiarity with retail loss prevention, exception-based reporting, or shrinkage analytics
 </li>
 <li>
 Exposure to Power BI or Fabric-native reporting for operationalizing model outputs to business users
 </li>
 <li>
 Knowledge of Azure ML and its relationship with Microsoft Fabric ML capabilities
 </li>
 <li>
 Experience with irregular or non-reorderable inventory environments
 
 
 </li>
 </ul>
 
 Rachael
 
 
 
 
 IT Services | Development | Staffing
 
 
 
 
 URL: http:/www.sidramtech.com |
 
 
 
 
 Email: rachael@sidramtech.com
 
 
 
 
 Direct: 4705239688
 
 
 
 
 Led by 25+ Years of Industry Experience
 
 
 
 
 E-Verify&reg; is a registered trademark of the U.S. Department of Homeland Security.
 
 
 
 
 SIDRAM TECHNOLOGIES participates in the Employment Eligibility Verification Program (E-Verify) offered by USCIS.
 
 
 
 
 www.dhs.gov/E-Verify
 
</div>

Data Scientist

Foundry10

<div>Description:

foundry10 is an education research organization with a philanthropic focus on expanding ideas about learning and creating direct value for youth. In collaboration with a wide range of partners, we surface, evaluate, and share opportunities to better support youth learning both inside and outside the classroom. Building on more than a decade of impactful work, our unique approach blends applied and basic research, philanthropy, and education programs rooted in evidence-based best practices. 
Summary of Role
Machine Learning can provide powerful tools for enhancing learning in and outside of the classroom, and for addressing pressing needs in K-12 and post-secondary education. Senior Researcher, Machine Learning Engineer will be a core team member on a new multi-project focused ML Learning Team at foundry10. This role involves both independent research and analysis as well as multidisciplinary collaboration across a project team and potentially in partnership with external institutions.
Applicants for this role should have a strong interest in education and desire to improve student outcomes across multiple dimensions. Applicants should have deep expertise in appropriate domains (Machine learning principles, software design &amp; development, ethics and privacy), bring novel ideas and expertise, and experience-based insights. Qualified candidates will have advanced research skills (e.g., data analysis techniques, knowledge of study design, visualizing and interpreting data) and be comfortable with sharing generalizable findings using different mediums alongside peer-reviewed publications.
This position reports to the Director of Research. The salary range for this position is $191,025 to $318,375 per year, depending on experience.
Areas of Interest
The Machine Learning Engineering Senior Researcher will have a focus on developing tools and pursuing research within both formal and informal K-12 and postsecondary education spaces. In particular, this position will focus on contributing to a multidisciplinary team of researchers and engineers with a preliminary focus on:<ul><li>
Exploring intersections and interplay between the strengths and gaps within the education system and ML/AI techniques and tools</li><li>
Considering principles and knowledge that are not being regularly utilized by traditional educational systems to broaden and shape new ideas around the intersection of learning and ML</li><li>
Design or repurpose tools for research pursuits, data collection, learning gains, and timely interventions</li><li>
Leverage strengths and knowledge in a coherent &amp; complimentary way with other experts in a collaborative team to generate new ideas to make a positive impact on student learning</li></ul>
Responsibilities
As part of a focused project team, this role in particular will:<ul><li>
Work collaboratively within the ML project team to provide new and interesting ideas for lines of research, outputs, tool development and/or other avenues to improve learning outcomes and opportunities for young people</li><li>
Collaborate to define output goals for the project team</li><li>
Participate in conceiving, designing, and evaluating, ML software and related hardware</li><li>
Develop predictive analytics, statistical modeling, data mining and machine learning algorithms</li><li>
Assist in crafting interesting and important questions regarding education in a technologically advancing world, specifically around the intersections of ML/AI in learning spaces.</li></ul>
More broadly as a researcher, this role will include:<ul><li>
Represent foundry10 at conferences, within publications, and face-to-face with a variety of community partners</li><li>
Actively read and engage with current research/techniques/technologies and bring new knowledge to the organization and their teams as a result of engagement with relevant topics</li><li>
Use various qualitative and quantitative methodologies, analysis strategies, and study designs as needed to address current research questions</li><li>
Make informed decisions about when to extend vs. redirect or close off lines of inquiry, depending on progress and likelihood of yielding useful and actionable insights</li><li>
Lead operations and partnership tasks (e.g., coordination of external data collection services, communication with external partners) as needed</li></ul>
This is not an exhaustive list, other duties may be assigned as necessary
Requirements:

Education and Experience<ul><li>
PhD in Machine Learning or related discipline, with 2-5 years relevant post-PhD work experience</li><li>
Experience in both academia and industry preferred</li><li>
Experience with Transformer-based Models (e.g. GPT, Llama)</li><li>
Practical experience independently leading and conducting applied research with minimal supervision</li><li>
Experience with machine learning data structures and models, software architecture, framework, and libraries</li><li>
End to End project design, execution and completion</li><li>
Experience on a variety of projects with multiple stakeholders</li><li>
Experience mentoring and/or managing students, junior researchers, and/or research staff</li><li>
Experience with design/development of software tools, preferably for a variety of age groups</li><li>
Nuanced understanding of technology in the life of kids both generally and within education contexts</li><li>
Nuanced understanding of AI tools, their strengths, limitations, and the direction of development</li></ul>
Skills, Abilities, and Knowledge<ul><li>
Strong background in research ethics, particularly research ethics involving children and adolescents</li><li>
Outstanding communication skills, both verbal and written, in interpersonal and research settings</li><li>
Ability to gain background knowledge and expertise in other fields within foundry10&rsquo;s research domains and interest areas that may intersect with your projects</li><li>
Proficiency with R, Python and relevant ML libraries</li><li>
Ability to manage time and track several project timelines at once</li><li>
Ability to work self-sufficiently and identify areas where processes could be improved</li><li>
Ability to cross multiple subject areas and quickly gain a basic understanding of new areas</li><li>
Ability to work collaboratively with researchers from other fields and specializations</li><li>
Ability to ask questions that deviate from the status quo to pursue innovative ways to approach learning</li><li>
Ability to manage and mentor junior researchers</li></ul>
We cannot sponsor visa applications, and to be considered for this position, you must be eligible to work in the United States. To protect our staff, partners, and the youth we serve, we require all foundry10 employees to adhere to our masking and COVID testing policies when working in person.
To be considered for this role, please submit the following materials:<ul><li>
Cover letter detailing how your interest and qualifications align with this position</li><li>
Resume or CV</li><li>
Peer-reviewed publication, white paper, project summary/report or similar document showcasing your work, clearly state your level of contribution and role</li></ul>
Applications without a cover letter will not be reviewed. The priority deadline is April 17, 2026, and we will accept applications on a rolling basis as needed after this date.
The interview process will consist of the following steps:
Step 1: Zoom audio interview (1 hour)
Step 2: Zoom video interview with Research team members (1. 5 to 2 hours)
Step 3: If needed, zoom video interview with the Director of Research and/or CEO (1 hour)
Step 4: Background and professional reference checks
foundry10 offers competitive salary and benefits that include:<ul><li>
A 4-day workweek</li><li>
A flexible and hybrid work schedule</li><li>
Full Medical, Dental, and Vision coverage for employees and their dependents</li><li>
$1,500 yearly education stipend</li><li>
$3,000 yearly wellness and hobby stipend, before taxes</li><li>
Generous paid time off that includes:
<ul><li>4 weeks of vacation time annually and additional accrual with tenure</li>
<li>12 paid holidays</li>
<li>56 hours of paid sick and safe leave frontloaded annually</li>
<li>Week-long office closures twice a year - each summer and winter</li>
</ul></li><li>401(k) retirement plan with employer match</li><li>
Flexible Spending Account and Dependent Care Reimbursement Account</li><li>
Employee Assistance Program at no cost to the employee</li><li>
Short Term Disability, Long Term Disability, Life Insurance paid fully by foundry10</li></ul>
Employment decisions are based on merit and business needs. foundry10 strives to provide a work environment free from discrimination and harassment because of a protected characteristic. The organization does not discriminate against employees or applicants based on race, color, creed, citizenship, status, national origin, ancestry, gender, genetic information, sexual orientation, gender expression or identity, age, religion, pregnancy or pregnancy-related condition, physical or mental disability, marital status, veteran status, political affiliation, or any other characteristic protected by law.
We are committed to providing reasonable accommodations to assist individuals with disabilities with the application and interviewing process as well as essential job functions.</div>

Senior Researcher, Machine Learning Engineer

Vilya

<div>
 Vilya is a computational biotechnology company creating a novel class of medicines to precisely target disease biology. We believe computational approaches are an integral, if not foundational, component of drug discovery and development. Our platform is built on ground-breaking research in advanced computational approaches and taps into uncharted chemical space to design new molecular structures not found in nature.
 
 
 We are harnessing the power of our platform to go after previously impossible targets in an array of indications. Vilya&rsquo;s ultimate goal is to solve some of the most challenging unmet medical needs that exist today.
 
 
 Our Vision: Harness a revolution in technology and biology to better human health
 
 
 Our Mission: Build an independent, leading biotech company founded on intelligent drug design to cure the incurable
 
 
 We think from atoms to bits &ndash; and everywhere in between; now, we are seeking a highly-motivated, creative, and knowledgeable Machine Learning Engineer to help us build a highly-scalable computational drug discovery platform.
 
 
 Vilya is a team-first organization, and we believe onsite work is essential to how we collaborate, move quickly, and build a strong culture. This is an onsite position in our Seattle office. Join us and help make a difference for patients!
 
 
 RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Develop and maintain the infrastructure to support machine learning workflows for drug discovery at scale.
 </li>
 <li>
 Implement and optimize algorithms for data processing, model training and model deployment.
 </li>
 <li>
 Collaborate with and support the computational scientists at Vilya to help build a world-class computational macrocycle drug discovery pipeline.
 </li>
 <li>
 Participate in the development and enhancement of our software platform to ensure that our codebase is reliable, efficient, secure, and scalable.
 
 
 </li>
 </ul>
 BASIC QUALIFICATIONS:
 
 
 <ul>
 <li>
 1+ year of experience developing and maintaining ML pipelines
 </li>
 <li>
 Understanding of general software development concepts, including git, containers, testing, cloud computing, etc.
 </li>
 <li>
 Experience with modern deep learning frameworks, like PyTorch or JAX
 </li>
 <li>
 Experience with Python scientific computing tools, such as numpy, scipy, pandas, etc.
 </li>
 <li>
 Experience working with big data pipelines
 </li>
 <li>
 Experience working within Linux environments
 </li>
 <li>
 Ability to effectively communicate with a team of diverse backgrounds
 </li>
 <li>
 B.S. in computer science (or equivalent industry experience)
 
 
 </li>
 </ul>
 PREFERRED QUALIFICATIONS:
 
 
 <ul>
 <li>
 A solid background in machine learning, including linear algebra, statistics, and calculus
 </li>
 <li>
 Experience with modern generative modeling frameworks, such as flow matching and diffusion
 </li>
 <li>
 Familiarity with techniques for modeling point-clouds or graphs (GNNs, equivariant transformers, etc.)
 </li>
 <li>
 Familiarity with basic cheminformatics libraries and tools (RDKit, OpenBabel, PyMol, etc.)
 </li>
 <li>
 An interest in drug discovery and working with biochemical data
 
 
 </li>
 </ul>
 VILYA BENEFITS:
 
 
 <ul>
 <li>
 Opportunity to work in a disruptive startup with a talented, experienced, and dedicated team
 </li>
 <li>
 401(k) plan with employer matching for contributions
 </li>
 <li>
 Stock options
 </li>
 <li>
 Excellent medical, dental, and vision coverage
 </li>
 <li>
 Open, flexible vacation policy
 </li>
 <li>
 Support to attend professional conferences meaningful to your career growth
 </li>
 <li>
 Monthly cell phone and internet stipend
 </li>
 <li>
 Monthly wellness and commuter stipend
 
 
 </li>
 </ul>
 Salary range for Seattle, WA : $154,000 USD - $174,000 USD
 
 
</div>

Machine Learning Engineer

Expedia Group

<div>Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We&rsquo;re building a more open world. Join us.
The Software Development Engineer II position is part of the Servicing team, which builds the agentic AI systems that power traveler self-service experiences across all Expedia brands and partners. In this role, you will design, build, and operate the agents and supporting infrastructure that enable travelers to resolve complex servicing needs end-to-end &mdash; without human intervention. This includes working on agent orchestration, tool integration, LLM-powered reasoning pipelines, and the backend services that make these experiences reliable at scale. You will collaborate closely with Product, XD, and Program Management to shape both the technical direction and the traveler experience. 
 
As an SDE II, you will own features end-to-end, contribute to technical design, and help raise the bar for engineering quality through rigorous testing, observability, and operational excellence. 
 
In this role, you will:<ul><li>
Design, implement, and maintain robust, secure, and scalable services and applications, including system design (LLD), API design, and data modeling to support business-critical capabilities across multiple domains.</li><li>
Write clean, reliable, and well-tested code, applying sound engineering principles, design patterns, and code review practices to improve quality, performance, and maintainability for complex systems.</li><li>
Own end-to-end delivery of features and services, from technical design and implementation through deployment, monitoring, and iteration, ensuring high availability and operational excellence.</li><li>
Diagnose and resolve complex production issues, perform root cause analysis, and drive long-term improvements in reliability, observability, and resilience across services and dependencies.</li><li>
Collaborate with cross-functional partners, contributing technical expertise to product discovery, backlog prioritization, and data-driven decision making while ensuring solutions are reusable and fungible across multiple domains.</li><li>
Safely integrate and operate AI/ML‑enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products.</li></ul> 
Minimum Qualifications:<ul><li>
Bachelor's degree in Computer Science or a related technical field; or Equivalent related professional experience.</li><li>
2+ years of relevant professional experience.</li><li>
Hands-on experience designing and implementing system components, including APIs, low-level design, and data modeling for single or multi-service ownership.</li><li>
Proficiency in at least one modern programming language and associated frameworks, with solid understanding of data structures, algorithms, debugging, and unit/integration testing.</li><li>
Experience contributing to the operational lifecycle of services (monitoring, alerting, deployment pipelines, and incident handling) within a team setting.</li></ul> 
Preferred Qualifications:<ul><li>
Full-stack engineer with proficiency in JavaScript, TypeScript, React, Java/Kotlin, and GraphQL.</li><li>
Proficiency with LLM-powered applications, agentic workflows, or conversational AI systems &mdash; including prompt design, tool integration, or orchestration frameworks.</li><li>
Experience maintaining and operating at least four software projects or products in production environments, including bug fixing, troubleshooting, monitoring, and operational support within defined SLAs.</li><li>
Experience selecting technologies to solve business problems and understanding trade‑offs between languages and platforms.</li><li>
Experience creating APIs consumed across teams or business units.</li><li>
Solid understanding of how projects and teams interact with other teams and align to business needs.</li><li>
Experience with AI-enabled software development workflows, including use of AI coding assistants and automated testing tools.</li></ul>
The total cash range for this position in Seattle is $119,000.00 to $166,500.00. Employees in this role have the potential to increase their pay up to $190,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual&rsquo;s knowledge, skills, and experience. Pay ranges may be modified in the future.
Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee&rsquo;s passion for travel, we offer a wellness &amp; travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.
Accommodation requests
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
Expedia Group's family of brands includes: Brand Expedia&reg;, Hotels.com&reg;, Expedia&reg; Partner Solutions, Vrbo&reg;, trivago&reg;, Orbitz&reg;, Travelocity&reg;, Hotwire&reg;, Wotif&reg;, ebookers&reg;, CheapTickets&reg;, Expedia Group&trade; Media Solutions, Expedia Local Expert&reg;, CarRentals.com&trade;, and Expedia Cruises&trade;. &copy; 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50
Employment opportunities and job offers at Expedia Group will always come from Expedia Group&rsquo;s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you&rsquo;re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.</div>

Software Development Engineer

Accenture

<div>We Are: 
The beginning of a new Data &amp; AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data &amp; AI &mdash; backed by a $3B investment and commitment to our people to do industry-defining work.
With over 45,000 professionals dedicated to Data &amp; AI, Accenture&rsquo;s Data &amp; AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.
You Are:
As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions. You will be responsible for developing and implementing cutting-edge artificial intelligence solutions that drive innovation and enhance performance. You will collaborate with cross-functional teams and leverage your expertise in machine learning, deep learning, and data analysis to solve complex problems and deliver impactful AI-driven solutions.
Position Responsibilities:<ul><li>
Collaborate with stakeholders to engineer innovative solutions for new system roll-outs, enhancements, and maintenance of existing applications, ensuring adherence to programming standards.</li><li>
Develop system specifications, create test plans, and conduct project and issue management for the assigned scope of work.</li><li>
Design/Build solutions using AI services and machine learning models to address unique use cases, employing cutting-edge techniques and methodologies.</li><li>
Utilize machine learning and advanced AI techniques to extract valuable insights from complex datasets and solve intricate problems.</li><li>
Deploy trained models into production environments, ensuring scalability, reliability, and optimal performance, while integrating seamlessly with existing systems and applications.</li><li>
Design and implement agents and multi-agent architectures to optimize client workflows.</li></ul>
Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.</div>
 
<div>Job Qualifications Here&rsquo;s what you need:<ul><li>
Minimum of 3 years of full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science</li><li>
Minimum of 2 years of experience in machine learning, deep learning, or demonstrated proficiency in Natural Language Processing (NLP)</li><li>
Minimum of 2 years of experience with AI/ML and cognitive services provided by at least one cloud service provider</li><li>
Minimum of 1 year of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution</li><li>
Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate&rsquo;s Degree, must have minimum 6 years work experience)</li></ul>
Bonus points if you have:<ul><li>
Hands-on involvement with speech-to-text, text-to-speech, and chatbot technologies</li></ul> 
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. 
We anticipate this job posting will be posted until 05/31/2026. 
 
Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:
U.S. Employee Benefits | Accenture 
Role Location Annual Salary Range 
California $70,350 to $205,800 
Cleveland $59,100 to $164,600 
Colorado $63,800 to $177,800 
District of Columbia $68,000 to $189,300 
Illinois $59,100 to $177,800 
Maryland $63,800 to $177,800 
Massachusetts $63,800 to $189,300 
Minnesota $63,800 to $177,800 
New York $66,300 to $205,800 
New Jersey $68,000 to $205,800 
Washington $80,200 to $189,300
Requesting an Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter. 
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
For details, view a copy of the Accenture Equal Opportunity Statement
Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Accenture is committed to providing veteran employment opportunities to our service men and women. 
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
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AI/ML Computational Science Specialist

Apple

We&rsquo;re starting to see the incredible potential of multimodal foundation and large language models, and many applications in the computer vision and machine learning domain that previously appeared infeasible are now within reach. We are looking for a highly motivated and skilled Machine Learning Integration Engineer to join our team in the Video Computer Vision group and help us enable that potential for realtime human understanding on Apple devices. The Video Computer Vision org has pioneered human-centric real-time features such as FaceID, FaceKit, and Gaze and Hand gesture control which have changed the way millions of users interact with their devices. We balance research and product requirements to deliver Apple quality, pioneering experiences, innovating through the full stack, and partnering with HW, SW and AI teams to shape Apple's products and bring our vision to life. 
 
Description 
 
As part of the Video Computer Vision (VCV) team, you will support our ML development and continuously improve our features. Working closely with ML algorithms engineers, data scientists and quality assurance teams, you&rsquo;ll help deploy state-of-the-art computer vision technologies on Apple devices, balancing performance with the compute and power constraints of on-device inference.&quot;,&quot;responsibilities&quot;:&quot;Develop applications and tools for algorithm evaluation, prototyping, and technology demonstrations. 
 
Support teams across Apple by integrating ML and CV components into production systems. 
 
On-device integration of CV/ML algorithms. 
 
Preferred Qualifications 
 
Experience with CoreFoundation, RealityKit and CoreML. 
 
Hands-on experience with CI/CD pipelines and practices. 
 
Experience with live camera streaming applications: Understanding of real-time video pipelines, image transformations, and rendering loops. 
 
Familiarity with common computer vision techniques (e.g., object detection, segmentation, tracking, pose estimation), sequence models for real-time inference and LLMs optimized for on-device performance. 
 
Minimum Qualifications 
 
Bachelor's degree in Computer Science or related discipline, and 2 years relevant industry experience. 
 
Strong foundational knowledge in Computer Science. 
 
Extensive programming experience in Python, Swift, C++. 
 
Experience working with PyTorch. 
 
Experience with machine learning model development lifecycle, including data preprocessing, model training, evaluation, and deployment. 
 
Foundational understanding of machine learning: ML algorithms and development pipelines, with the ability to work effectively with ML practitioners and integrate ML components into production systems. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

On-Device Machine Learning Integration Engineer

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