Pine Trees Examples Jobs in Usa

Loen Nursery mission is to grow and supply the wholesale trade, quality plants to customers throughout the U.S and Canada. We grow a complete line of nursery stock including woody ornamentals, shade and flowering trees, fruit, Japanese maples, grafted conifers, perennials, roses, ground covers, ferns, ornamental grasses.

Responsibilities:

• Customer Service
• Order Entry
• Plant Sales
• Nursery Tours
• Order Inspections
• Photos for customers and marketing
• Customer development by city, state
• New customer development
• Maintaining customer data base
• Service outside sales reps
• Seasonal pre-orders follow up sales
• Trade Show Participation
• Quotes, follow up
• Customer calls, new customer – building
• Geographic Truck building of plants
• A knowledge of what to sell and what is looking good
• An ongoing knowledge of plants
• Inventory Participation
• Service customer inquiries
• Up sell customers
• What to sell per marketplace, per zone, hardiness

Qualifications:

• 2-year min experience in horticulture
• Prefer 2-4 horticultural degree Landscape Architect  
• Outgoing, Friendly, Personality
• Computer Skills, Microsoft Office, Sage100, Excel
• Plant ID
• Sales Ability
• Team Player

A Plus

·        Spanish/English

·        Website Experience

·        Better than average computer skills

·        Specific horticultural expertise

·        Knowledge to substitute plants

Trainees with less experience will be considered.

Looking for committed, detail oriented, passion for plants and people.

Training period 6mo minimum to qualify for commissions.

Hourly Job: depending on experience

Experience qualified applicants may get higher pay scale and commission when hired.

Benefits/Compensation:

• Medical/Dental Insurance • Paid sick leave/holidays • Base rate, plus commission • Oregon Save Plan     • Pay commensurate with experience • Employee Plant Discount 

Our client, a large, complex enterprise organization, is looking for a Principal AI Engineer to serve as the lead architect and hands-on builder of a unified AI Platform as a Service (PaaS) a secure, multi-tenant foundation that helps internal teams build and operate semantic discovery, conversational experiences, and autonomous agent workflows at scale.

Summary:

The Principal AI Engineer will design and build an enterprise-grade “AI operating layer” that turns modern foundation model capabilities into a governed, reusable platform used across multiple business domains. This role balances approximately 40% hands-on development with 60% platform strategy, personally building core orchestration services, standardized capability interfaces, and trust/safety guardrails. The platform will enable teams to deploy specialized agents that can collaborate via defined protocols, securely access grounded knowledge sources, and execute autonomous tasks within a controlled, high-availability runtime.

Location: Remote (U.S.) / Hybrid options may be available based on client needs.

Compensation Range: $145,000 - $250,000 per year plus RSUs & Bonus

Benefits: Very competitive benefits

Responsibilities

• Architect and deliver a self-service AI platform that provides reusable patterns, reference implementations, and standardized building blocks for internal engineering teams.
• Define and communicate a multi-year platform roadmap, ensuring technical priorities map to enterprise outcomes and adoption goals.
• Design and implement stateful orchestration (state graphs/state machines) to handle planning edge cases, recovery, and self-correction in autonomous workflows.
• Build and operate secure remote tool gateways (e.g., MCP-style servers) and implement controlled function-calling interfaces for connecting agents to sensitive enterprise systems.
• Establish interoperability standards for agent-to-agent collaboration, enabling autonomous discovery and reliable task handoffs across independently built agent solutions.
• Design an agent identity and authorization layer that supports fine-grained permissions, auditable actions, and strong accountability for autonomous behaviors.
• Implement a unified knowledge layer using semantic retrieval and multimodal grounding to support accurate, “source-aligned” responses and decisions.
• Build long-term context persistence (“memory”) using retrieval and graph-based storage to preserve institutional knowledge and improve continuity over time.
• Create a trust and evaluation layer with automated testing pipelines to measure quality, safety, cost, latency, and reliability of agent behavior across tenants.
• Own runtime lifecycle management for agent sessions, ensuring high availability, persistence, scalability, and controlled rollout patterns.
• Lead deep code reviews focused on agent-specific failure modes (runaway loops, tool misuse, state growth, unreliable calling patterns) and implement mitigations.
• Optimize inference performance and spend through techniques such as prompt caching, model routing, and workload-aware runtime strategies.
• Act as a technical multiplier by mentoring senior/staff engineers on advanced agentic patterns, evaluation methods, and production hardening.
• Partner closely with Cloud and Infrastructure teams to influence enabling services and platform primitives needed for enterprise AI delivery.
• Raise the bar on engineering quality via documentation, profiling, reliability improvements, and ongoing performance tuning.

QUALIFICATIONS:

Required:

• 10+ years of software engineering experience, including 4+ years operating at a Principal/Architect level.
• 2+ years architecting and shipping LLM-based systems, with demonstrated experience taking agentic solutions into production at scale.
• 5+ years working in agile delivery environments.
• Google Cloud Professional Cloud Architect certification.
• Proven ability to lead technical workstreams and translate business needs into durable platform architectures.
• Strong expertise in asynchronous orchestration (e.g., Python) plus proficiency in a statically typed language (Java, Go, or Rust) for high-concurrency platform services.
• Hands-on experience with stateful graph orchestration patterns and frameworks (e.g., LangGraph/ADK-style approaches) to power robust reasoning workflows.
• Strong cloud-native experience with CLI tooling and Infrastructure-as-Code; proven ability to deploy and scale containerized workloads using container orchestration and serverless platforms.
• Experience designing and operating distributed architectures at scale, including vector stores, graph databases, and structured data pipelines.
• Deep knowledge of multi-agent design patterns and the ability to extend or replace off-the-shelf orchestration when scaling, safety, or reliability requires it.
• Working understanding of modern agent reasoning approaches (Chain-of-Thought, ReAct, Tree-of-Thoughts, Self-Reflection) and when to apply them.
• Experience supporting very high request volumes and/or extremely large datasets in production environments.
• Expertise building semantic retrieval layers, attribute-aware discovery, and stateful persistence for long-lived agent context.
• Strong understanding of MCP-style tool protocols, agent-to-agent interaction patterns, REST/gRPC APIs, OAuth2, and function-calling mechanics.
• Familiarity with microservices architecture patterns and distributed systems best practices.
• Ability to implement observability for agentic systems, including traceability/telemetry and debugging methods for multi-step reasoning and handoffs.
• Awareness of global AI regulations (e.g., EU AI Act) and ability to translate requirements into technical controls and platform governance.
• Strong written and verbal communication skills across technical and business audiences.
• Calm, decisive execution in high-pressure or incident scenarios.
• Highly organized, self-directed, detail-oriented, and effective with limited supervision.
• Ability to support off-hours work as needed, including rotational on-call, weekends, and holidays.

Preferred:

• Bachelor’s or Master’s in Computer Science, AI, or a related field.
• PhD in AI, Distributed Systems, or Cognitive Science.
• Google Cloud Professional Machine Learning Engineer certification and/or specialized certifications in multi-agent systems/autonomous reasoning.
• 3+ years working with distributed caching technologies.
• Experience provisioning and configuring cloud platform resources at scale.
• Experience supporting consumer-facing digital or commerce environments.
• Proficiency with Google Workspace (Sheets, Docs, Slides, Gmail).

About Hansell Tierney:

Hansell Tierney is one of the premier staffing and recruiting companies in the Pacific Northwest. Launched in 2001, we are a woman-owned business that serves and staffs Northwest organizations by doing things the right way, not just the easiest way. Hansell Tierney partners with candidates and clients to match the best candidates with interesting local opportunities. We navigate every relationship with the highest level of discretion and service while holding ourselves accountable to our promises. Our business thrives on our deep understanding of the job market and our ability to skillfully tailor our recruitment process to meet our clients’ unique needs.

The opportunity

Delaware North Parks and Resorts is searching for full-time Cleaners to join our team at Tenaya Lodge at Yosemite in Fish Camp, California. As a Cleaner, you will be key member of the housekeeping team helping to create great guest experience by keeping the property clean and sanitized.

Pay

$17.50 - $18.00 / hour

Information on our comprehensive benefits package can be found at .

What we offer

• Health, dental, and vision insurance*
• 401 (k) with company match*
• Paid vacation days and holidays*
• Paid parental bonding leave*
• Tuition or professional certification reimbursement*
• Weekly pay
• Free shift meal in our employee dining room
• Commuter bonus - $10/day for 35+ miles and $20/day for 50+ miles
• Employee discounts - 20% off food and beverage, and 30% off retail
• Access to guest recreation equipment and activities
• Training and development with opportunities for internal mobility and growth, including the chance to work at our other locations nationwide

*Available for full-time, year-round team members

Life at Tenaya at Yosemite

Embark on a thrilling journey at Tenaya Lodge! Nestled near Yosemite National Park's entrance, our mountain resort promises a year-round playground for outdoor enthusiasts. Join our global team in an awe-inspiring location that inspires every day.

• Proximity to outdoor attractions, including Yosemite National Park, Bass Lake, and Sierra National Forest
• Opportunity for outdoor activities including hiking, fishing, biking, rock climbing, camping, horseback riding, and much more!

What will you do?

• Clean public areas, rooms, and restrooms according to department procedures and replenish supplies, maintaining sanitation guidelines
• Conduct walk-around of assigned areas to assure that the facility meets housekeeping standards
• Interact with guests while cleaning guest and meeting rooms, assisting guests as needed
• Report maintenance repair problems to Supervisor
• Ensure all lost and found items are turned in and logged on a daily basis

More about you

• Must be at least 18 years of age
• Limited to no experience required; previous commercial cleaning and/or guest service experience preferred
• Working knowledge of various cleaning utensils, dryers, vacuum cleaners, tools and fixtures
• Ability to work quickly under pressure
• Ability to make simple addition and subtraction calculations
• No high school diploma or GED required

Physical requirements

• Frequent walking and standing for entire length of shift
• Frequent climbing of stairs, bending, stooping, reaching, kneeling, and carrying

Shift details

Days
Evenings
Holidays
Weekends
OT as needed

Who we are

Tenaya Lodge is a 4-diamond resort located just outside the south entrance to Yosemite National Park. Surrounded by beautiful trees and granite mountains, Tenaya Lodge is the perfect environment for outdoor enthusiasts with great hiking trails, waterfalls, rivers, and creeks to explore in and around Yosemite. We provide free mountain bike rental, weekly trips to Oakhurst, and employee discounts on lodging and services. For local candidates, we offer a commute incentive for all commutes over 50 miles one way.

Our business is all about people, and that includes you. At Delaware North, you’re not just part of a team — you’re part of a global legacy: a family-owned company with 100+ years of history behind it. Our operations span the world, offering you unique paths to growth and success.

Who says you can't love where you work? With jobs in iconic sports arenas, stunning national parks, exciting casinos, and more, we pride ourselves on giving the world great times in great places. And whether you're interested in restaurants, hotels, sports, gaming, operations, or retail, part-time or full-time, we're invested in helping you achieve your career goals.

Together, we're shaping the future of hospitality — come grow with us!

Delaware North, along with its subsidiaries, is an equal opportunity employer, showcasing job opportunities and considering applicants for all positions without regard to race, color, religion, sex, gender identity, national origin, age, disability, protected veteran status, sexual orientation, or any other legally protected status.

Job Details:

Position Details

Position:

PLM AWC Developer

Location:

Austin, TX / Sunnyvale, CA

Type:

Contract

Skills:

• 5–8 years of experience in Siemens Teamcenter PLM
• Strong hands-on experience with Active Workspace Client (AWC) customization
• Must-Have AWC Skills

Hands-on experience in:

• Creating custom panels using AWC Declarative UI (JSON)
• Developing custom commands and integrating them with toolbars, context menus, and command bars
• Implementing custom event handling and client-side logic
• Working with AWC tables, trees, and object sets

Proficiency in:

• JavaScript
• HTML / CSS
• JSON-based declarative UI framework
• Experience working with Teamcenter SOA / REST APIs
• Solid understanding of Teamcenter data model and objects
• Experience with BMIDE for data model changes
• Knowledge of Teamcenter workflows, access controls, and preferences
• Strong troubleshooting and debugging skills

Quantitative Power Markets Analyst

Job Description

We are seeking a highly capable Quantitative Power Markets Analyst to join our team at a utility-scale renewable energy Independent Power Producer (IPP) focused on the development, ownership, and operation of solar PV and battery energy storage systems (BESS).

In this role, you will work closely with traders, engineers, and data scientists to design and deploy market-driven models and analytical tools that inform energy dispatch, bidding, and trading decisions. You will play a key role in real-time market analysis and strategy execution, helping to optimize the performance and revenue of a growing solar and storage portfolio across competitive power markets.

This position is well suited to a quantitatively strong analyst with sound power market intuition who is motivated to apply advanced analytics to real-world trading, dispatch, and asset optimization challenges in fast-moving electricity markets.

Qualifications

Required

• Bachelor's degree or higher in Electrical Engineering, Economics, Operations Research, Applied Mathematics, Data Science, or a related quantitative field.
• 2+ years of experience in power market analysis, trading support, or quantitative analyst roles.
• Strong understanding of U.S. electricity market structures and mechanics; hands-on experience with ERCOT or CAISO market data is a plus.
• Proficiency in Python for data analysis, modeling, and workflow automation.
• Solid grounding in statistics, time-series analysis, and power market economics.
• Experience working with large-scale market datasets, including prices, load, generation, outages, and congestion.
• Ability to independently tackle loosely defined analytical problems with minimal supervision.
• Strong communication skills, with the ability to clearly convey quantitative insights to traders, engineers, and non-technical stakeholders.
• Demonstrated interest in power markets, trading, and renewable energy systems.

Work-Style Requirements

• Comfortable operating in a fast-paced, market-driven trading environment.
• Able to prioritize effectively and respond quickly to time-sensitive market requests.
• Collaborative mindset with a willingness to work closely across trading, analytics, and operations teams.
• Strong sense of ownership and accountability for analytical outputs and decision support tools.
• Flexibility to work outside standard business hours when market conditions require.

Preferred

• Familiarity with optimization-based power flow models, energy storage dispatch, and market bidding strategies.
• Experience applying machine learning techniques (e.g., regression, tree-based models, neural networks) to power market or price forecasting problems.
• Exposure to deep learning frameworks such as PyTorch and scikit-learn.
• Experience with cloud-based data infrastructure, real-time data pipelines, or streaming market data workflows.

What We Offer

• Competitive compensation package.
• Comprehensive health benefits, flexible PTO, and ongoing professional development opportunities.
• The opportunity to grow your career through hands-on involvement with utility-scale solar and BESS assets, applying cutting-edge analytics, AI, and data engineering technologies in the renewable energy sector.

If this role is of interest please reach out to Simon Howard ()

Summary

The Principal Power Engineer develops new electrical systems/circuits for various applications. Research system ideas and draw up plans for these systems, and capture them in schematics and system specifications. Test, simulate, validate and qualify their systems and make adjustments as needed. Provide support throughout the manufacturing of the electrical systems they have designed.

The Principal Power Engineer works in cross functional teams with other designers, customers, manufacturing engineering and project leadership to ensure robust and high quality product development. Enhance designs with feedback from reviews in areas such as manufacturing, test, supply chain, reliability, industrial design and simulations.

Detailed Description

Performs tasks such as, but not limited to, the following:

• Work autonomously and take initiatives to manage team priorities
• Provide technical guidance and support to Staff and Sr. engineers
• Design, develop and implement technical solutions for complex projects. Participate in project planning and scheduling.
• Propose innovative solutions for performance, reliability, and features of system or product.
• Global SME with comprehensive knowledge and industry recognition. Provides technical leadership and direction to a global team of engineers.
• Reviews and interprets customer specifications and may act as primary customer contact.
• Analyze trade-offs in complex systems and recommend solutions. Develop and lead deployment strategies and plans.
• Lead and manage schematic design, Bills of material, power tree, drawings, board layout, and cross-functional design reviews
• Lead power bring-up, debugging, and support for manufacturing assembly, and deployment
• Takes responsibility for non-technical elements of an engineering project (people, financials etc.)
• Lead relationships with key vendors and partners.
• Keep up to date with relevant industry knowledge and regulations, and share within team
• Liaison with suppliers, customers, contractors, and other internal teams.
• Analyze and create reports and documentation of specifications, design, testing, debugging, and etc.
• May be a recognized expert (go to person) in one or more technical areas.

Knowledge/Skills/Competencies

• Considered a Subject Matter Expert in the area of power design, such as single/multi-phase DC/DC converter, point-of-load converter, LDO, MOSFETs, magnetics, hot-swap circuitry of how-swap controller, load switches, current sense circuit and amplifier, and etc
• Experienced in designing power systems for networking, compute, or storage products
• Experienced in high-current, low-voltage power subsystems for CPU, GPU, ASIC, SoC, and FPGA
• Experienced in PCB stack-up, power planes, and tools used to simulate voltage gradients
• Familiar with schematic capture and CAD layout tools or equivalent ones
• Proficient with circuit simulation tools such as SIMPLIS, PSPICE, and LTSPICE, or equivalent tools
• Experienced with end-to-end power delivery network design, and simulation using circuit simulation tools, Sigrity PowerDC/SI, ANSYS SIWave or equivalent, and board level correlation
• Knowledge of high-density power modules and Vertical Power Delivery (Knowledge on Integrated Voltage Regulator (IVR) is a plus)
• Experienced with power integrity evaluation
• Experienced with design and troubleshooting of power management interfaces such as PMBus, AVS, SVID and SVI2/3.
• Experienced with defining specifications and validation of power connectors, cable assemblies and fuses
• Familiar with NPI hardware design and deployment cycle
• Experienced with development of test automation for power validation that is a plus.
• Excellent verbal and written communication skills, and ability to present to various audiences effectively

Physical Demands

• Duties of this position are performed in a normal office environment.
• Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data.
• Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.
• Occasional travel may be required.

Typical Experience

• 11+ years' relevant work experience with 3+ in a leadership capacity.

Typical Education

• Bachelor degree or consideration of an equivalent combination of education and experience.
• Educational Requirements may vary by Geography

Summary

The Principal Power Engineer develops new electrical systems/circuits for various applications. Research system ideas and draw up plans for these systems, and capture them in schematics and system specifications. Test, simulate, validate and qualify their systems and make adjustments as needed. Provide support throughout the manufacturing of the electrical systems they have designed.

The Principal Power Engineer works in cross functional teams with other designers, customers, manufacturing engineering and project leadership to ensure robust and high quality product development. Enhance designs with feedback from reviews in areas such as manufacturing, test, supply chain, reliability, industrial design and simulations.

Detailed Description

Performs tasks such as, but not limited to, the following:

• Work autonomously and take initiatives to manage team priorities
• Provide technical guidance and support to Staff and Sr. engineers
• Design, develop and implement technical solutions for complex projects. Participate in project planning and scheduling.
• Propose innovative solutions for performance, reliability, and features of system or product.
• Global SME with comprehensive knowledge and industry recognition. Provides technical leadership and direction to a global team of engineers.
• Reviews and interprets customer specifications and may act as primary customer contact.
• Analyze trade-offs in complex systems and recommend solutions. Develop and lead deployment strategies and plans.
• Lead and manage schematic design, Bills of material, power tree, drawings, board layout, and cross-functional design reviews
• Lead power bring-up, debugging, and support for manufacturing assembly, and deployment
• Takes responsibility for non-technical elements of an engineering project (people, financials etc.)
• Lead relationships with key vendors and partners.
• Keep up to date with relevant industry knowledge and regulations, and share within team
• Liaison with suppliers, customers, contractors, and other internal teams.
• Analyze and create reports and documentation of specifications, design, testing, debugging, and etc.
• May be a recognized expert (go to person) in one or more technical areas.

Knowledge/Skills/Competencies

• Considered a Subject Matter Expert in the area of power design, such as single/multi-phase DC/DC converter, point-of-load converter, LDO, MOSFETs, magnetics, hot-swap circuitry of how-swap controller, load switches, current sense circuit and amplifier, and etc
• Experienced in designing power systems for networking, compute, or storage products
• Experienced in high-current, low-voltage power subsystems for CPU, GPU, ASIC, SoC, and FPGA
• Experienced in PCB stack-up, power planes, and tools used to simulate voltage gradients
• Familiar with schematic capture and CAD layout tools or equivalent ones
• Proficient with circuit simulation tools such as SIMPLIS, PSPICE, and LTSPICE, or equivalent tools
• Experienced with end-to-end power delivery network design, and simulation using circuit simulation tools, Sigrity PowerDC/SI, ANSYS SIWave or equivalent, and board level correlation
• Knowledge of high-density power modules and Vertical Power Delivery (Knowledge on Integrated Voltage Regulator (IVR) is a plus)
• Experienced with power integrity evaluation
• Experienced with design and troubleshooting of power management interfaces such as PMBus, AVS, SVID and SVI2/3.
• Experienced with defining specifications and validation of power connectors, cable assemblies and fuses
• Familiar with NPI hardware design and deployment cycle
• Experienced with development of test automation for power validation that is a plus.
• Excellent verbal and written communication skills, and ability to present to various audiences effectively

Physical Demands

• Duties of this position are performed in a normal office environment.
• Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data.
• Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.
• Occasional travel may be required.

Typical Experience

• 11+ years' relevant work experience with 3+ in a leadership capacity.

Typical Education

• Bachelor degree or consideration of an equivalent combination of education and experience.
• Educational Requirements may vary by Geography

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S., supporting over 23,000 healthcare professionals and team members at more than 1,150 locations across 48 states. Our five supported healthcare practices operate under the brands Aspen Dental, ClearChoice, WellNow, Chapter Aesthetic Studio, and Lovet. We’re committed to enabling healthcare professionals to focus on patient care while we handle the business operations that support them.

As part of our continued investment in data and AI-driven innovation, we are expanding our machine learning capabilities across predictive analytics, optimization, and intelligent decision systems — while gradually incorporating modern Generative AI technologies where they create measurable business value.

We are seeking an Applied Machine Learning Engineer to design, build, and deploy production-grade machine learning systems across the healthcare enterprise.

This is a hands-on engineering role focused primarily on predictive modeling, optimization systems, decision engines, and scalable ML infrastructure. The ideal candidate combines strong modeling expertise with production engineering and MLOps experience.

In addition to traditional ML, this role will have opportunities to explore and implement Generative AI and LLM-powered capabilities as part of TAG’s evolving AI roadmap.

This role works in close partnership with Enterprise IT and Platform Engineering to ensure production-grade reliability and scalability.

Essential Responsibilities

Machine Learning Development & Modeling (Primary Focus)

• Design, develop, and deploy predictive models and ML algorithms to address business challenges such as: Schedule Optimization, Propensity Segmentation, Demand Forecasting, and Pricing
• Conduct experimentation, feature engineering, and hyperparameter tuning to improve model performance in collaboration with data scientists
• Implement advanced modeling techniques including tree-based methods, deep learning, and optimization algorithms.
• Translate business requirements into scalable ML solutions in partnership with cross-functional stakeholders.
• Take ownership of model performance from experimentation through production monitoring.

MLOps & Production Engineering (Core Expectation)

• Build scalable, secure, production-grade ML pipelines using modern cloud-native technologies.
• Contribute to implementing distributed training workflows, batch and real-time inference systems, and low latency serving architectures
• Deploy models via APIs and integrate with enterprise applications.
• Leverage Google Cloud Platform (GCP), including Vertex AI, BigQuery, Kubernetes, Cloud Run, Dataflow, and Pub/Sub.
• Implement CI/CD workflows for ML lifecycle management within defined architecture
• Ensure reproducibility, versioning, and governance of models and features.

Monitoring, Reliability & System Optimization

• Define and track key performance metrics for deployed models.
• Implement monitoring frameworks (e.g., Vertex AI Model Monitoring, logging, drift detection).
• Analyze model behavior in production and proactively improve reliability and performance.
• Collaborate with platform and infrastructure teams to ensure models meet scalability and compliance requirements.

Emerging AI Capabilities (Growth Area)

• Contribute to the development of LLM-powered solutions where appropriate (e.g., knowledge retrieval, decision-support copilots).
• Support implementation of Retrieval-Augmented Generation (RAG) pipelines using BigQuery and Vertex AI.
• Assist in experimentation with agent-based workflows and modern orchestration frameworks as part of TAG’s evolving AI initiatives.
• Stay current with advancements in Generative AI and evaluate their practical application to enterprise healthcare use cases.

Collaboration & Mentorship

• Work cross-functionally with Product, Platform, Data and Software Engineering teams
• Create clear documentation for models, pipelines, and systems.
• Promote engineering best practices across data science and analytics teams.
• Contribute to continuous improvement of TAG’s ML platform capabilities.

Qualifications

Required

• Bachelor’s degree in computer science, data science, engineering, or related technical field with 3-5 years of experience in machine learning engineering, data science, or related technical role.
• Strong proficiency in Python and ML frameworks (Scikit-learn, TensorFlow, PyTorch, etc.).
• Experience building and deploying production-grade ML systems at scale.
• Strong hands-on experience with: Google Cloud Platform (GCP), Vertex AI (training, pipelines, deployment, monitoring), BigQuery and data warehousing
• Experience with distributed systems, model deployment, and API development.
• Solid understanding of software engineering principles and system design.

Preferred

• Experience with optimization algorithms or decision-support systems.
• Familiarity with MLOps tooling (Airflow, MLflow, Kubeflow, etc.).
• Exposure to Generative AI, LLM-based systems, or RAG architecture.
• Familiarity with Kubernetes, Cloud Run, Dataflow, Pub/Sub.
• Experience in healthcare or regulated environments.
• Familiarity with responsible AI and governance best practices.

*This role is onsite 4 days/week in our Chicago office (Fulton Market District)

• A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match

SCPMG is a physician-led partnership organization with a patient-centered and evidence-based approach to high quality medicine, is actively seeking Urgent Care Physician to join our clinic in Bakersfield, California.

Schedule: Full-Time

Salary Range: $413,275.00 to $429,419.00

Potential Premium Earnings: $46,944.00

Highlights:

• Flexible Schedules including as little as 3 day a week 12 hour shifts per day schedule.
• 1/2 day paid non clinical education time weekly
• No overnight call
• No panel and no in-box
• A fulfilling practice free from the hassles of running an office that focuses on patient care in a nonprofit setting

Requirements:

• Board Certified or Board Eligible in Family Medicine or Emergency Medicine

$250K sign on bonus

Overview:

Competitive Compensation and Benefit Package

The comprehensive benefits and longevity-based compensation package offered by Southern California Permanente Medical Group (SCPMG) enables physicians to focus on what they do best – provide their patients with exceptional care.

• Medical/dental/vision coverage

• Supplemental medical coverage

• Special dependent coverage

• Vacation/holiday/sick/education time and leave (prorated to work schedule)

• Retirement and savings plans

• Relocation package

• Professional liability coverage

• Public Service Loan Forgiveness (PSLF) eligible

Partnership of SCPMG

• Transition to a Partner/Owner of SCPMG

• Eligible after three consecutive years of full-time employment (six consecutive years of part-time employment)

• Increased benefits (e.g., compensation, retirement, life insurance)

• Voting rights on organizational decisions

About the area

Kern County offers physicians and their families some of the region’s most affordable housing, along with several of California’s top natural attractions: it’s the closest SCPMG area to the great outdoor experiences of world-famous Yosemite, King’s Canyon, Sequoia, and Death Valley National Parks. The city of Bakersfield is a secret gem, with groves of old-growth trees, wide streets, and blocks of beautiful homes—without the typical Southern California traffic jams.

Working here

Kern County is unique within SCPMG. With its smaller-town, less urban feel, there is a true sense of family, of being an integral part of something very special. It’s the only medical center within SCPMG that can meet as one united group at the same time. Our area’s smaller size fosters open dialogue across all levels, offering physicians a voice and enabling constant improvements, small and large. Physicians enjoy the best of two worlds—operating within the stability and support of the Permanente system yet maintaining the feel of a smaller medical group. New hires are quickly integrated into the system, for accelerated learning and support. This welcoming spirit goes far beyond the medical center: Physicians’ spouses and families are actively connected to one another in social activities, formal and informal, and to local culture and activities.

Equal Employment Opportunity

External hires must pass a background check/drug screen. Qualified applicants with arrest and/or conviction records will be considered for employment in a manner consistent with Federal, state and local laws, including but not limited to the San Francisco Fair Chance Ordinance. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, protected veteran, or disability status.