Join us as we celebrate 50 years of empowering our 50 million investor-owners.* Since our founding in 1975, we’ve been on a mission to help investors achieve their goals.

With no outside shareholders to answer to, we make decisions—including keeping investing costs as low as possible—with our clients’ needs in mind. Whether you’re investing for your first house, college for your kids, or a comfortable retirement, you can be confident we’re on your side.

We are a community that thinks—and feels—differently about investing. Together, we’re changing the way the world invests. Let’s celebrate 50 years together.

Community guidelines: vgi.vg/sgl1

*As of January 2025

Industry: Financial Services
Company Size: 10,001+ employees

Vanguard

Savvy Admin PROD

Vanguard is investing in advanced technologies that strengthen our global investment and finance platforms and improve outcomes for clients. We are seeking a **Head of Innovation & Emerging Technology ** to lead the research, engineering, and responsible adoption of artificial intelligence and emerging technologies across Global Investment & Finance Systems (GIFS).

This senior leader will oversee multidisciplinary teams spanning AI research and innovation, AI engineering, and AI governance and application. The role partners closely with Investment Management, Finance, Enterprise Technology, Risk, and Data leaders to translate emerging technologies into scalable, production‑grade solutions in a highly regulated environment.

**What You’ll Do**

- Define and execute the strategic roadmap for AI and emerging technologies supporting GIFS.

- Lead AI research and innovation efforts, translating new techniques into prototypes, reusable patterns, and enterprise capabilities.

- Oversee engineering teams building and operating production‑grade AI platforms, applications, agents, and data pipelines.

- Establish AI architecture standards, operational resilience, and scalable engineering practices.

- Define and operationalize governance frameworks to ensure ethical, secure, compliant, and auditable AI use.

- Partner with business and technology leaders to shape use cases, drive adoption, and deliver measurable outcomes.

- Lead talent development, budgeting, prioritization, and multi‑year strategic planning.

- Represent AI and emerging technology initiatives in senior leadership and enterprise forums.

- Explore practical applications of emerging technologies beyond AI, including distributed ledger and quantum technologies.

**Qualifications**

- Bachelor’s degree in Computer Science, Engineering, Data Science, or related field; advanced degree preferred.

- 10+ years of experience in AI/ML, advanced analytics, or large‑scale engineering, including 5+ years leading senior technical teams.

- Demonstrated experience delivering enterprise‑scale AI systems in regulated environments.

- Strong understanding of AI governance, risk management, data privacy, and model lifecycle management.

- Proven ability to partner with senior executives and influence across complex organizations.

- Strategic leadership mindset with a passion for responsible innovation and talent development.

**Special Factors**

**Sponsorship**

Vanguard is offering visa sponsorship for this position.

**About Vanguard**

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

**How We Work**

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Head of Innovation & Emerging Technology, Global Investment & Finance Systems

Jobright is your personal AI job search co-pilot that transforms the way you do job search from solo, time-consuming efforts to a co-piloted journey with a seasoned AI career assistant at the helm, simplifying every job search step and accelerating your route to the best job outcomes.

Industry: Software Development
Company Size: 2-10 employees

Jobright.ai

Jobright is your personal AI job search agent that transforms the job search process into a fast, expert-guided journey. They are seeking an AI Engineer to build and scale business-facing AI agents, managing the entire lifecycle from prototype to production.

**Why Join Us **

- Build real, production AI agents used by real users

- High ownership and impact

- Work at the intersection of AI, agents, and product

- Shape how people experience AI-driven job search

**Responsibilities **

- Design, build, and maintain the scalable infrastructure required to deploy and serve production-grade AI agents

- Implement and optimize Large Language Model (LLM) pipelines, focusing on latency reduction, throughput, and efficient resource utilization

- Develop automated systems for model monitoring, testing, and continuous integration to ensure the reliability of our AI agents

- Optimize data ingestion and processing layers to support real-time agent responsiveness and complex RAG (Retrieval-Augmented Generation) architectures

- Architect and refine APIs and backend services that bridge the gap between AI models and the user-facing product

**Qualification **

Required

- Recent graduate or early-career professional (0–2 years of experience) with a degree in Computer Science, Software Engineering, or a related technical field

- Strong proficiency in Python and experience with backend frameworks (such as FastAPI, Flask, or Django)

- Practical experience with machine learning frameworks (PyTorch or TensorFlow) and a solid understanding of software engineering best practices (version control, CI/CD, unit testing)

- Familiarity with the deployment of LLMs and an understanding of the infrastructure required to support autonomous agents

- Must live in and be authorized to work in the United States

Preferred

- Previous internship or project experience in ML Ops, backend engineering, or distributed systems within an AI-focused company

- Hands-on experience with containerization (Docker, Kubernetes) and cloud infrastructure (AWS, GCP, or Azure)

- Knowledge of vector databases (such as Pinecone, Milvus, or Weaviate) and their role in production AI systems

- Strong foundation in SQL and NoSQL database management for high-scale data handling

Machine Learning Engineer - Early Career

Avathon, a leader in Industrial AI, extends the life of critical infrastructure while advancing the journey toward full autonomy. Avathon’s Industrial AI platform empowers commercial and government customers with scalable, secure, and value-driven solutions that enhance efficiency and resilience across heavy industry.

Industry: Software Development
Company Size: 201-500 employees

Avathon

**Who We Are & Why Join Us**

**Avathon ** is the leading Industrial AI autonomy platform, helping customers across heavy industries -- energy, mining, manufacturing, aerospace, defense, and logistics -- accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale.

**Cutting-Edge AI Innovation ** -- Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. **High-Growth Environment ** -- Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. **Meaningful Impact ** -- Work on AI-driven projects that drive real change across industries and improve lives.

Learn more at: avathon.com

**About The Role**

**Senior AI Engineer – Generative AI & LLMs**

At Avathon, we are building cutting-edge AI solutions that transform operations across asset-intensive industries such as Supply Chain, Logistics, Energy, Mining, Aerospace, and Industrial Manufacturing. As an AI Engineer, you will play a critical role in designing, developing, and deploying scalable AI systems with a strong focus on Generative AI, Large Language Models (LLMs), and production-grade machine learning applications.

This role is ideal for someone with strong engineering depth who can bridge research and production—building robust AI platforms, optimizing LLM workflows, and delivering high-impact solutions across forecasting, route optimization, anomaly detection, predictive maintenance, and intelligent automation.

With 3–5 years of hands-on industry experience, you are expected to bring expertise in AI system design, ML engineering, LLM deployment, and scalable software development within fast-paced startup environments.

You Will

- Design, build, and deploy production-grade AI/ML systems with strong emphasis on Generative AI and LLM-powered applications

- Develop and optimize end-to-end LLM pipelines including RAG architectures, fine-tuning, prompt orchestration, evaluation, and observability

- Build scalable backend services and APIs for AI applications using modern engineering best practices

- Implement and productionize transformer-based models and GenAI workflows for enterprise use cases

- Design vector search systems, embedding pipelines, and retrieval frameworks for knowledge-intensive applications

- Partner closely with Product, Engineering, and Business teams to translate operational challenges into scalable AI solutions

- Drive experimentation, benchmarking, model evaluation, and performance optimization with scientific rigor

- Improve inference efficiency, latency optimization, cost management, and reliability of deployed AI systems

- Establish guardrails, hallucination detection, monitoring, and responsible AI practices for production deployments

- Contribute to MLOps workflows including CI/CD, model lifecycle management, observability, and cloud deployment

- Stay current with the latest advancements in LLMs, agentic systems, foundation models, and applied AI engineering

You'll Have

- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field

- 3–5 years of hands-on industry experience in AI Engineering, Machine Learning Engineering, Applied AI, or related roles

- Strong experience building and deploying LLM-based applications in production environments

- Solid expertise with Python and modern AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar

- Strong understanding of transformer architectures, LLM fine-tuning, prompt engineering, RAG systems, and vector databases

- Experience building scalable APIs and backend systems supporting AI workflows

- Familiarity with cloud platforms such as AWS, GCP, or Azure

- Strong software engineering fundamentals including system design, debugging, performance optimization, and production reliability

- Experience with containerization, deployment pipelines, and collaborative engineering environments

- Strong analytical thinking, ownership mindset, and ability to work in ambiguous, fast-moving startup environments

- Strong communication skills and ability to work cross-functionally with technical and business stakeholder

**Preferred Qualifications**

- Exposure to Retrieval-Augmented Generation (RAG), vector databases, or embedding-based search systems

- Familiarity with LLM observability and evaluation tools (e.g., Langfuse, LangSmith, Arize Phoenix, Weights & Biases)

- Hands-on experience with practical LLM deployment -- prompt versioning, cost/latency tracking, guardrails, or hallucination detection

- Exposure to LLM evaluation frameworks (e.g., RAGAS, DeepEval) or LLM-as-judge evaluation patterns

- Basic understanding of MLOps practices and model lifecycle management

- Experience working on applied AI projects in academic, internship, or startup settings

- Interest in industrial AI and asset-intensive environments

- Industry exposure in one or more of the following domains: Mining, Oil & Gas, Aerospace, Supply Chain, Logistics, or Renewable Energy

Interview Process

As part of the interview process, you will be asked to complete a technical assessment.

Benefits & Perks

What are the benefits and perks at Avathon? Below are some highlights we offer to our U.S. full-time employees -- we'd love to connect and share more!

- Evolving culture with the opportunity to drive new ideas and technology

- Stock Option Grants

- Medical Coverage and Parental Leave Plans

- 401k with Employer Match

- Monthly Technology Allowance

- Newly renovated office space located near Pleasanton, CA -- including fully stocked beverage and snack areas

~~Contract and temporary roles are not eligible for the above benefits.~~

**Compensation**

**Pay Range: ** $110k - $130k salary annually. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

**Location: ** This role is not remote. Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.

~~Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.~~

~~Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you. ~~

AI Engineer

TekVizor is the bridge that connects top technology talent with the most cutting edge companies.  We utilize a Full Desk recruitment approach that allows us to engage our clients and candidates throughout the recruiting lifecycle, making for a seamless and successful experience. 

Areas of technology recruiting

Data Science & Analytics
•	Machine Learning "ML"
•	Advanced Analytics
•	Business Intelligence
•	Deep Learning
•	Artificial Intelligence "AI"
•	Computer Vision

Cloud Solutions & Infrastructure
•	Big Data
•	Cloud Architect 
•	Data Architecture
•	Data Engineering
•	Database Administration
•	Cyber Security

Product Management 
•	Technical Product Manager
•	Product Policy
•	Marketing Analytics
•	Digital Analytics
•	Program Management

Services
•	Retained search
•	Contingent recruiting
•	Advanced sourcing

Industry: Staffing and Recruiting
Company Size: 2-10 employees

TekVizor

**AI Engineer - Machine Learning **

📍 New York, NYC

🕒 Full-Time Employee position

🌍 U.S. Citizenship, Green Card

💰 $230,000 - $250,000 base salary range

**About the Role **

Hiring a Senior AI Engineer for an early-stage, high-growth AI FinTech company. We’re building an enterprise-grade platform and we need highly curious, hard-working self-starters.

This role is for senior-level builders who design, architect, and ship production-grade AI systems.

You will own the design and delivery of complex, multi-service AI architectures involving agent orchestration, secure workflows and real-world operational constraints.

**What You Will Do **

- Own the architecture, design, and implementation of full AI systems, including: Multi-Agent, distributed system architecture, workflow, agent orchestration, tool use, code execution, retrieval, KV cache management, routing, batching, multi-step planning loops.

- Proven experience designing and deploying complex agentic systems using LLMs.

- Hands-on design with multi-agent orchestration, routing, and tool orchestration.

- Your work goes far beyond prompts or app-level features. You will architect platforms and sustainable AI infrastructure.

- You will build real, production agents—not prototypes relying solely on framework abstractions.

- Design knowledge graph analytics enabling agents to perform contextual reasoning.

- End-to-End AI System Design.

**Desired Qualifications **

- 5+ years working professionally as a Machine Learning Engineer or Systems Engineer.

- 3+ years building and deploying Agentic, ML / LLM-powered systems in production environments.

- Degree in Computer Science or similar.

- Build APIs, microservices, and distributed workflows.

- Work across cloud environments (AWS, Azure, GCP)

- Ability to integrate data pipelines, messaging systems, and storage layers.

- You are as comfortable with backend architecture as with LLM integration.

#AIJobs # AIcareers #AgenticAI #LLMEngineering #AIEngineer #Hiring #MachineLearning #GenerativeAI #computerscience #TechJobs #NewYork #NYC

AI Engineer - Machine Learning ($230-250k base)

Deloitte drives progress. Our firms around the world help clients become leaders wherever they choose to compete. Deloitte invests in outstanding people of diverse talents and backgrounds and empowers them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. 

Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited (“DTTL”), its global network of member firms, and their related entities. DTTL (also referred to as “Deloitte Global”) and each of its member firms are legally separate and independent entities. DTTL does not provide services to clients. Please see www.deloitte.com/about to learn more.

The content on this page contains general information only, and none of Deloitte Touche Tohmatsu Limited, its member firms, or their related entities (collectively the “Deloitte Network”) is, by means of this publication, rendering professional advice or services. Before making any decision or taking any action that may affect your finances or your business, you should consult a qualified professional adviser. No entity in the Deloitte Network shall be responsible for any loss whatsoever sustained by any person who relies on content from this page.

Industry: Business Consulting and Services
Company Size: 10,001+ employees

Deloitte

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.

Are you passionate about leading the charge in emerging technologies? Do you want to join an award-winning team offering diverse opportunities, from account executives and data scientists to AI strategists, machine learning experts, and data engineers? If so, the AI Engineering Manager at SFL Scientific might be the perfect fit. SFL Scientific, a Deloitte Business, is part of our broader Strategy Offering within the Strategy & Transactions practice. Our specialized team brings together key capabilities to design integrated solutions that drive transformational change for our clients. Join us to expand your technical career through leadership, consulting, and becoming an industry leader in the AI engineering community.

Recruiting for this role ends on 8/31/2026.

**Work You'll Do**

As an AI Engineering Manager you will support the design, development, and deployment of novel AI applications across healthcare, life sciences, manufacturing, consumer, energy, and other sectors. You will lead client engagements and design and deliver architecture for complex AI and R&D type problems. AI Engineering Manager are responsible for developing design patterns, infrastructure, and engineering resources by understanding business and use case priorities, defining the data strategy, and leading application deployment to solve our clients' use cases. They work cross-functionally with data scientists, DevOps and data engineers, project managers, and industry experts to develop robust AI platforms and cloud solutions.

In our consultative approach, we are platform agnostic and committed to accelerating the development of innovative AI solutions for our clients with the best possible tools; this spans all relevant technologies from on-prem and cloud deployment, high performance computing, automation, DevOps, LLM/MLOps, data engineering while streamlining IT and infrastructure. Key responsibilities include but are not limited to:

-  Work with clients to design, develop, and deploy new architectures to support machine learning & automation applications

-  Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologies

-  Design and lead development on scalable, high-performance data architecture solutions that supports both the client business as well as AI/GenAI use cases

-  Support and enhance data architecture, and data pipelines, and define database schemas (Graph, SQL, NoSQL) to develop algorithm scalability and deployment based on agile business priorities and initiatives

-  Participate in architectural and deployment discussions to ensure solutions are designed for successful scale, security, and high availability in the cloud or on prem

-  Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns

-  Define and lead technology proof of concepts to ensure feasibility of new data and cloud technology solutions

-  Display strong thought leadership and execution in pursuit of modern data architecture principles and technology modernization

-  Mentor, motivate, and coach junior members on technical best practices and inspire professional development

A successful candidate would possess these skills:

-  Ability to work independently and collaborate as part of a team

-  Effective written and verbal communication skills

-  Meticulous attention to detail and quality of work product

-  Ability to build and sustain professional relationships

-  Ability to lead projects or workstreams

-  Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment

-  Strong interpersonal skills and professional demeanor

-  Ability to meet deadlines

-  Ability to mentor and provide clear guidance to others

**The Team**

Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.

Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.

**Qualifications**

**Required:**

-  Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.)

-  6+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment

-  6+ years of experience in designing cloud solutions and supporting production projects, including hands-on experience with AWS services (or Azure, GCP equivalents)

-  6+ years of programming experience with Linux Shell/CLI, Python, SQL, PowerShell, etc.

-  4+ years of experience managing teams in technical delivery and delivering complex and critical projects

-  4+ years of experience in DevOps and leveraging CI/CD services: Puppet, Ansible, Chef, Airflow, Terraform, Jenkins etc.

-  4+ years of experience with database development and ETL/ELT pipelines (relational, NoSQL, Neo4j)

-  3+ years of experience with deployment and optimization: Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc.

-  Live within commuting distance to one of Deloitte's consulting offices

-  Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

-  Limited immigration sponsorship may be available

**Preferred:**

-  Master's degree in Computer Science, Engineering, Physics, etc. or related STEM field

-  AWS/Azure Certifications (AWS/Azure Certified: SysOps Administrator, DevOps Engineer, Solutions Architect)

-  2+ years of experience with GPU computing (CUDA, OpenCL) and HPC system software stack

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

AI Engineering Manager - SFL Scientific

We deliver advanced technology consulting solutions built for today’s most ambitious organizations. By connecting top-tier consultants with talent acquisition seeking proven expertise, we help companies move faster, solve complex challenges, and stay ahead in competitive markets. With a deep understanding of recruitment and delivery realities, we provide strategic solutions that elevate project staffing, optimize workflows, and accelerate results.

Backed by hundreds of successful engagements and trusted by leading clients, we know that the right talent is the foundation of long-term success.

Our team specializes in identifying the right experts for every engagement, from short-term project needs to long-term strategic roles.

From talent sourcing and vetting to onboarding and ongoing support, our end-to-end talent solutions ensure you have the expertise needed to perform, scale, and win.

Be part of the future: tinyurl.com/ConsultantCareerForm

Industry: IT Services and IT Consulting
Company Size: 201-500 employees

Tech Consulting

**Job Title: ** Junior Data Scientist **(**Immediate Joining**) **

**Location: ** [Anywhere in USA]

**Experience: ** 1–3 years

**Employment Type: ** Full-Time **(**USC & GC candidates only**) **

****No Sponsorship** **

Are you excited about taking your technical career to new heights with a full-time, W-2 role as a consultant in a dynamic and rapidly growing company? If you are, let's get in touch – ~~your interest is the first step to starting the conversation. ~~

**What This Role Requires: **

- 1-3 years of data analyst/ML/AI engineering work experience after your degree.

- Must have experience with both Python programming & SQL language developer.

- Should demonstrate experience developing end-to-end solutions.

- Demonstrated SQL experience.

- Additional experience with at least one: AWS, Azure or Databricks is preferred.

- Additional experience with Pyspark, AWS S3, Lambda, EC2/AZ, Data bricks, Machine learning (ML), GenAI/ Computer Vision, Theory of Probability, GitLab, R Programming, GCP & Airflow will be preferred.

**To Qualify: **

- You should be willing to relocate anywhere in the US on a client project-to-project basis, as this is an **onsite, in-office position **.

- Strong English communication skills, both written and verbal.

- **Bachelor’s Degree ** in Computer Science, Information Systems, Electrical Engineering, Mathematics, or a related quantitative field.

**What’s In It For YOU? **

- Gain valuable, career-enhancing experience working with our Fortune 1,000 clients.

- Receive relocation support for training and project assignments, as required.

- Enjoy comprehensive W2 employee benefits.

- Access full coverage medical, dental, and vision insurance.

- Qualify for 401K eligibility after one year of employment.

- Benefit from basic life/AD&D and dependent disability (short/long term) coverage.

**Who Are We? **

We are a premier IT consulting firm specializing in delivering top-tier Data Science solutions to companies across various sectors such as **finance, energy, e-commerce, logistics, travel, retail, entertainment, automotive, and healthcare **.

**Company Highlights: **

- **Our Specialization: **Providing IT consulting services.

- **Experience: **Over 25 years of combined domestic and international expertise in IT consulting serving hundreds of Fortune 1,000 and innovative startup clients.

- Interested in accelerating your tech career through career-enhancing IT consulting experience? Do you meet the required qualifications? **If so, apply today! We look forward to hearing from you. **

Jr Data Scientist

Trimble is a global technology company that connects the physical and digital worlds, transforming the ways work gets done. With relentless innovation in precise positioning, modeling and data analytics, Trimble enables essential industries including construction, geospatial and transportation. Whether it's helping customers build and maintain infrastructure, design and construct buildings, optimize global supply chains or map the world, Trimble is at the forefront, driving productivity and progress. For more information about Trimble (Nasdaq: TRMB), visit: www.trimble.com.

Industry: Software Development
Company Size: 10,001+ employees

Trimble Inc.

**Drive Innovation as our Next Data Engineer / Scientist (Predictive Analytics)!**

Ready to make a tangible impact on global industries using cutting-edge AI? Trimble is looking for a passionate problem-solver like you to leverage data to drive meaningful business outcomes and contribute to the success of our data-driven initiatives! You will unleash your potential by designing systems that improve customer retention for SketchUp, turning complex datasets into actionable strategies that move the world forward.

**About Us**

Trimble is a global technology company that connects the physical and digital worlds, transforming the ways work gets done. With relentless innovation in precise positioning, modeling and data analytics, Trimble enables essential industries including construction, geospatial and transportation. Whether it's helping customers build and maintain infrastructure, design and construct buildings, optimize global supply chains or map the world, Trimble is at the forefront, driving productivity and progress.

**AECO: ** The Trimble AECO segment provides digital construction solutions that increase precision and productivity for Architecture, Engineering, Construction, and Operations.

**What Makes This Role Great**

In this role, you will be at the forefront of developing predictive machine learning models, directly influencing customer retention for our SketchUp product and shaping the future of how we understand and engage with our global user base.

**Key Exciting Responsibilities**

- Design and deploy sophisticated ML models, such as XGBoost and logistic regression, to proactively identify and mitigate churn risk.

- Translate complex model outputs into business-friendly insights that drive targeted go-to-market retention strategies.

- Engineer impactful features from raw customer data to develop advanced metrics for tracking global engagement and activity.

- Architect automated processes and algorithms to cleanse and integrate massive datasets for high-level customer segmentation and model training.

- Optimize churn prediction performance using advanced metrics like AUC and lift to ensure maximum business impact.

**Essential Skills & Experience**

- 5+ years of expertise in data science or engineering, specifically building and deploying predictive machine learning models.

- Proficiency in Python and SQL for data manipulation and algorithm development.

- Strong grasp of data engineering concepts including data lakes, ETL tools, and columnar formats.

- Experience in statistical modeling for churn analysis, customer segmentation, and cohort analysis.

- Bachelor's degree in Computer Science, Data Analytics, or Engineering (Master's or Ph.D. preferred).

**Bonus Points For**

- Experience with demographic and firmographic data integration.

- Familiarity with BI tools and cloud-based data environments.

- Advanced academic research in predictive analytics or related fields.

**Logistics**

Location: In Office: Westminster, CO

Travel Requirement: Minimal

**Why You'll Love Working With Us**

**At Trimble, we're not just a company that "does good" **—we are a team dedicated to making a tangible, positive Real-World Impact. We build innovative solutions designed to solve the world's most critical challenges. From construction sites to transportation hubs, our work tangibly improves how people live, build, move, and grow.

**You'll work on projects that truly matter: ** Our purpose-driven culture means you'll be helping to build and deliver solutions that make work faster, safer, and more sustainable for millions of people worldwide. Our impact is tangible, from connected machines that save fuel to data-driven insights that reduce waste.

**Collaborate with like-minded people: ** Our strong internal culture is a "hidden gem." You will work with a collaborative, supportive team that shares your purpose and fosters a genuine sense of belonging. We're a company of "visionary pragmatists" who think boldly and build things that work.

Be an owner: Trimble thrives on individuals who take initiative and embrace ownership. You'll find an entrepreneurial spirit where success is often "self-authored," empowering proactive "doers."

Data Engineer, Data Scientist, Machine Learning, Churn Prediction, Python, SQL, Predictive Analytics, SketchUp, ETL, XGBoost, Data Modeling

**Compensation: **Trimble provides the following compensation range and general description of other compensation and benefits that it in good faith believes it might pay and/or offer for this position. This compensation range is based on a full time schedule. Trimble reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant’s sex or other status protected by local, state, or federal law.

**Hiring Range**

$122,642.00–$165,466.00

**Pay Rate Type**

Salary

**Bonus Eligible?**

Yes

**Commission Eligible?**

No

**Benefits: **Trimble offers comprehensive core benefits that include Medical, Dental, Vision, Life, Disability, Time off plans and retirement plans. Most of our businesses also offer tax savings plans for health, dependent care and commuter expenses as well as Paid Parental Leave and Employee Stock Purchase Plan. If this position is identified above as commission- or bonus-eligible, the terms of the commission plan or discretionary bonus plan for which you are eligible will be provided following the employee start date.

**How to Apply: **Please submit an online application for this position by clicking on the ‘Apply Now’ button located in this posting.

**Application Deadline: **Trimble accepts applications on an ongoing basis until the position is filled.

At Trimble, we are committed to fostering a diverse, inclusive, and equitable workplace where everyone can thrive. Guided by our core values—Belong, Innovate, and Grow—we embrace and celebrate differences, knowing they make us stronger and more innovative. We are proud to be an equal opportunity employer, welcoming individuals of all backgrounds and advancing opportunities while embracing race, color, gender identity, sexual orientation, religion, disability, veteran status, or any other protected and diverse characteristic. We are committed to offering our candidates and employees with disabilities or sincerely held religious beliefs the ability to seek reasonable accommodations in accordance with applicable law and/or where it would not constitute undue hardship for Trimble. For more, please see Trimble's Code of Business Conduct and Ethics at https://investor.trimble.com, under “Corporate Governance.”

Our mission to transform the way the world works starts with transforming how we work together. By actively listening, asking questions, and taking intentional actions, we cultivate a culture that provides equitable opportunities for everyone to contribute and grow.

Trimble’s Privacy Policy

If you need assistance or would like to request an accommodation in connection with the application process, please contact careers@trimble.com.

Machine Learning Data Scientist

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