Engineering Structures Jobs in Tustin California

Senior Finance Manager

We’re hiring a highly technical Senior Finance Manager to help shape enterprise financial strategy as a real assets platform moves from rapid growth into a more institutional operating model.

This position blends corporate finance, portfolio-level analytics, and structured capital markets work. You’ll be the “modeling engine” for leadership—building institutional-quality models from the ground up and translating outputs into clear recommendations around capitalization, liquidity, and long-term value creation.

You’ll partner closely with senior decision-makers to consolidate portfolio cash flows, evaluate recapitalization paths, test securitization/structured finance options, optimize cost of capital, and uphold rigorous underwriting and diligence standards.

Key Responsibilities

1) Corporate & Portfolio Financial Strategy

• Create and maintain fully integrated three-statement corporate financial models
• Build portfolio roll-ups that consolidate asset-level operating performance and cash flows
• Evaluate recapitalization outcomes (e.g., buyout, minority/structured equity, alternative capital solutions)
• Model securitization concepts backed by stabilized affordable-housing cash flows
• Assess valuation, NAV, and cost-of-capital implications across scenarios
• Deliver sensitivity and scenario analysis to support capital allocation decisions

2) Capital Markets & Capital Stack Optimization

• Analyze refinancing approaches and structured debt alternatives
• Model multi-tranche debt structures and distribution waterfalls
• Support leverage strategy, liquidity planning, and covenant monitoring
• Produce investor-ready materials, return analytics, and capital partner reporting
• Assist with negotiations alongside lenders, equity partners, and other institutional counterparties
• Ensure adherence to JV structures, loan terms, and related compliance requirements

3) Advanced Modeling & Decision Analytics

• Build/upgrade LBO, cash flow waterfall, portfolio coverage, and capital pacing models
• Develop distribution schedules and liquidity/runway projections (13-week and longer-range)
• Standardize modeling templates to improve repeatability and controls
• Provide crisp, decision-ready insights to senior leadership

4) Affordable Housing Underwriting & Transaction Support (LIHTC-focused)

• Oversee underwriting for development and acquisition opportunities
• Improve underwriting tools and submission processes for tax credit transactions
• Lead financial diligence, data room readiness, and documentation hygiene
• Support debt, tax credit equity, and transaction closing activities
• Coordinate with internal teams and external stakeholders through execution

5) FP&A Leadership

• Own consolidated budgeting and forecasting
• Convert property-level data into corporate dashboards and management reporting
• Drive variance analysis, risk identification, and forecasting accuracy improvements
• Implement QA standards and financial controls across models and reporting
• Coach junior talent and raise the technical modeling bar

Ideal Profile

• 6–10 years of experience in real estate private equity, structured finance/credit, infrastructure investing, corporate development, real estate investment banking, or REIT/real assets FP&A
• Expert-level Excel skills with the ability to build models from a blank sheet
• Hands-on experience with: three-statement models, 13-week cash flow, LBO, portfolio roll-ups, waterfalls, and multi-tranche debt structures
• Strong understanding of capital stack mechanics and return metrics (IRR, MOIC, DSCR, ICR)
• Executive-ready communication: can explain complex outputs clearly and concisely
• Real estate background helpful, but high-caliber technical modelers from adjacent verticals are welcome

Technical Strengths

• Institutional-grade financial modeling
• Capital structure strategy and optimization
• Enterprise valuation and NAV frameworks
• Securitization / structured cash flow modeling
• Debt tranching, coverage, and covenant analytics
• Liquidity forecasting and runway analysis
• Advanced Excel (Power Query/Power Pivot preferred)
• Investor reporting and performance analytics

HCLTech is looking for a highly talented and self- motivated Senior Design Quality Engineer to join it in advancing the technological world through innovation and creativity.

Job Title: Senior Design Quality Engineer

Job ID: 79890

Position Type: Full-time with HCLTech

Location: Irvine, CA

Role/Responsibilities:

Client is seeking a seasoned Senior Design Quality Engineer to support quality engineering activities for released products, ensuring compliance with regulatory standards and internal procedures. This role involves cross-functional collaboration to manage product risks, support validation efforts, and drive continuous improvement in design and manufacturing processes.

Key Responsibilities:

• Ensure quality engineering activities for released products align with regulatory and internal standards.
• Collaborate with cross-functional teams to develop and maintain product risk management documentation:
• Risk Management Plans
• Risk Assessments
• Design Failure Mode and Effects Analysis (DFMEA)
• Risk Management Reports
• Support the development and execution of:
• Verification & Validation (V&V) plans, protocols, and reports
• Test Method Validation
• Process validation activities (PFMEA, IQ, OQ, PQ)
• Utilize statistical tools (e.g., Minitab) for data analysis and decision-making.
• Oversee product testing and analysis to ensure compliance with applicable standards.
• Apply Design Control principles to support sustaining engineering efforts, including design updates and product enhancements.
• Resolve quality issues, manage design changes, and assess risks in collaboration with engineering, manufacturing, and quality teams.
• Proactively identify and mitigate product risks using risk management techniques.
• Employ structured problem-solving methodologies to address product and process challenges.
• Communicate findings effectively through presentations, technical reports, and cross-functional collaboration.

Pay and Benefits

Pay Range Minimum: $42.78 per hour

Pay Range Maximum: $50.00 per hour

HCL is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation.

Compensation and Benefits

A candidate’s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.

How You’ll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

About Triple Crown

Triple Crown is a nationwide technology and engineering firm that connects top-tier talent with some of the most innovative companies in the world. Specializing in Hardware, Embedded, Software, and Mechanical engineering, we’re trusted by Fortune 500 companies and fast-growing startups to deliver highly skilled professionals.

With seven offices across the U.S. and a candidate-first approach, we move fast to meet the demands of today’s most complex projects. Our team is relationship-driven, results-focused, and passionate about helping engineers and clients thrive.

Recognized as one of the largest and fastest-growing staffing firms in the industry, we’re proud of our bold, high-energy culture built on strong values, real collaboration, and unlimited growth potential.

Account Manager

You will receive extensive hands-on training from our L&D team along with our top performers. During this period, you will learn the fundamentals of sales, staffing and customer service.

As an Account Manager at Triple Crown, you will:

• Build and manage a portfolio of qualified clients in the tech and engineering space
• Engage daily over the phone to attract and grow new business while also maintaining strong ongoing relationships with current client portfolio
• Identify and generate new job opportunities by understanding client needs and project goals
• Ensure a high level of client satisfaction through proactive communication and dependable service
• Drive revenue growth by expanding existing accounts and securing new business
• Conduct meetings with prospective clients to understand hiring cycles and establish trusted partnerships
• Prepare and present tailored proposals that align with client needs and showcase Triple Crown’s value

People Who Are Successful In This Role Are:

• Focused self-starters who pay high attention to detail and have a strong work ethic, positive attitude, and a commitment to exceed set expectations
• Able to quickly learn new technology
• Excellent communicators, both over the phone and in email—sense of humor a plus!
• Thrive in a fast-paced environment and work well under pressure

Things We Have to Offer:

• Great work/life balance
• Competitive compensation structure, base + uncapped commission
• Health, dental and vision benefits
• 401K option
• 3 weeks of PTO + all national holidays
• We are also closed Christmas – New Year’s Day and July 4th week- yes, all paid!
• Company outings and happy hours
• Opportunity for growth
• Annual company trip for Diamond Club, we’ve gone to Las Vegas, the Bahamas, Miami, Mexico, Cayman Islands, Cancun, and this year Cabo!

Does this sound like you? Apply today and take the first step toward a rewarding and fulfilling career!

Triple Crown Consulting provides equal employment opportunities to all employees and employment applicants without regard to considerations of race, color, religion or creed, gender, sex (including pregnancy), national origin or ancestry, ethnicity, citizenship status, genetic information, military or veteran status, age, and physical or mental disability, or any other classification protected by applicable local, state, or federal laws. Triple Crown Consulting does not tolerate discrimination in any aspect of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination.

• We are a leader in our industry
• We offer long term career stability
• Opportunities for continued learning, development & advancement
• Excellent pay
• Great benefits
• Positive company culture
• Ability to make an immediate impact

• Control System Troubleshooting & Repair: Diagnose and repair PLC-based press control systems, hydraulic motion control circuits, and servo systems.
• Installation & Commissioning: Install, configure, and commission control systems for hydraulic and servo electric presses, ensuring proper integration of PLCs and peripherals
• Retrofits & Upgrades: Assist in modernizing hydraulic press controls, upgrading outdated PLCs, HMIs, motion controllers, and hydraulic servo systems for improved performance and automation.
• Field Service & Customer Support: Provide on-site and remote troubleshooting for hydraulic and servo electric press controls, minimizing downtime, and ensuring customer satisfaction.
• Programming & Debugging: Develop, modify, and troubleshoot PLC logic, HMI screens, motion control programs, and press automation sequences.
• Preventive Maintenance & Optimization: Conduct control system inspections and hydraulic system tuning to enhance system performance and reliability.
• Documentation & Reporting: Maintain service reports, control schematics, wiring diagrams, and software backups for customer and internal records.
• Training & Collaboration: Work closely with engineering, production, and service teams to provide training and guidance on press control systems.

• Bachelor’s degree in a technical field, most commonly Electrical or Mechanical Engineering
• 5-7 years’ experience in a manufacturing environment
• 7-10 years industry experience without a bachelor’s degree
• Self-starter who is adaptable to work independently and within a team environment
• Excellent communication skills and the ability to work in an interactive group environment are essential.

About Us:

Astiva Health, Inc., located in Orange, CA is a premier health plan provider specializing in Medicare and HMO services. With a focus on delivering comprehensive care tailored to the needs of our diverse community, we prioritize accessibility, affordability, and quality in all aspects of our services. Join us in our mission to transform healthcare delivery and make a meaningful difference in the lives of our members.

SUMMARY:

We are seeking a skilled and adaptable AI/ML Engineer to join our fast-moving team building impactful AI solutions in healthcare. Our work focuses on extracting and interpreting data from unstructured medical documents, improving clinical coding accuracy, streamlining administrative processes, and enhancing patient outreach.

Projects will evolve rapidly, from fine-tuning large language models (LLMs) on specialized medical PDFs, to optimizing OCR pipelines in Azure, and new challenges emerge regularly. This role suits someone who thrives in ambiguity, enjoys hands-on model development, and wants to directly influence healthcare delivery through applied AI/ML.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:

• Design, fine-tune, and optimize large language models (LLMs) and multimodal models for healthcare-specific NLP tasks, such as information extraction, classification, and summarization from clinical documents (e.g., medical charts, patient files, scanned forms).
• Develop and improve document understanding pipelines, including fine-tuning OCR / layout-aware models (especially in cloud environments like Azure AI, Azure Foundry) to handle real-world variability in medical forms, handwriting, and scanned PDFs.
• Build and iterate on end-to-end ML solutions that transform unstructured healthcare data into structured, actionable insights
• Collaborate closely with clinicians, product managers, data annotators, and engineers to define problems, curate/annotate datasets, evaluate model performance against clinical and business metrics, and iterate quickly.
• Deploy models into production environments (cloud-based inference, batch processing, or API endpoints) with attention to latency, cost, scalability, and healthcare compliance considerations (HIPAA, data privacy).
• Stay current with advancements in LLMs, vision-language models, efficient fine-tuning techniques (LoRA/QLoRA, PEFT), RAG, multimodal AI, and domain-specific healthcare AI research.
• Contribute to a culture of rapid prototyping, rigorous evaluation, and continuous improvement in a dynamic project landscape where priorities can shift based on new opportunities or stakeholder needs.
• Other duties as assigned

REQUIRED TECHNICAL SKILLS:

• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or equivalent)
• Hands-on experience with NLP applied to unstructured text
• Experience working with LLMs, including:
• Prompting strategies
• Fine-tuning for classification or extraction tasks
• Model evaluation and error analysis
• Experience designing or consuming annotation pipelines and labeled datasets
• Familiarity with structured prediction problems (multi-label classification, ranking, or probabilistic inference)
• Ability to reason about and mitigate model bias, label noise, and false positives
• Strong understanding of production ML systems (versioning, monitoring, iteration)
• Experience working with sensitive or regulated data (e.g., HIPAA-covered healthcare data), including privacy-aware data handling and secure ML workflows

OTHER SKILLS and ABILITIES:

• Hands-on experience with Azure AI services, Azure Machine Learning, OpenAI on Azure, and Microsoft Foundry
• Experience with clinical NLP libraries (scispaCy, medspaCy, cTAKES)
• Familiarity with RAG architectures for grounding model decisions
• Experience with weak supervision or noisy-label learning
• Knowledge of temporal reasoning or longitudinal modeling
• Exposure to knowledge graphs or ontology-driven systems
• Familiarity with healthcare vocabularies and ontologies:
• ICD-10
• SNOMED CT
• RxNorm (or similar)
• Understanding of clinical documentation structure (HPI, Assessment & Plan, medications, etc.)

EXPERIENCE:

• Bachelor’s Degree in related field
• 2-4+ years of experience in software engineering, machine learning, or applied NLP
• Demonstrated experience taking ML systems from prototype to production
• Experience collaborating with non-technical domain experts (e.g., medical coders, clinicians)

BENEFITS:

• 401(k)
• Dental Insurance
• Health Insurance
• Life Insurance
• Vision Insurance
• Paid Time Off
• Free catered lunches

Position Title: Applied AI Systems Engineer

Location: Orange County, California (Hybrid)

Reports To: Head of Operations

Position Summary

This role is responsible for architecting, building, and deploying a production-grade AI operating system that automates core workflows across leasing, property management, accounting, construction coordination, and asset management.

The engineer will design and implement AI agents, document intelligence systems, and workflow automation pipelines that reduce manual processing, improve accuracy, and increase operational scalability across a commercial real estate portfolio.

This position requires strong systems thinking, rigorous technical execution, and the ability to translate complex operational processes into reliable automation.

Core Objectives

• Build an internal AI platform that automates high-volume operational workflows
• Reduce manual processing time and administrative overhead
• Improve accuracy, speed, and decision visibility across departments
• Establish scalable systems that support portfolio growth without proportional staffing increases

Primary Responsibilities

• AI Platform Architecture & Development
• Design and deploy AI agents to automate operational and administrative workflows
• Build LLM-powered systems for document review, data extraction, and decision support
• Develop retrieval-based systems leveraging leases, financial data, contracts, and SOPs
• Implement evaluation, monitoring, and continuous improvement frameworks

Lease & Document Intelligence Automation

• Build tools to extract key lease terms, obligations, and risk clauses
• Automates lease abstraction and document comparison workflows
• Develop compliance and deadline tracking systems
• Enable searchable knowledge retrieval across lease and legal documents

Leasing & Asset Management Automation

• Automate LOI comparison and deal workflow summaries
• Build dashboards summarizing tenant performance, lease milestones, and risk exposure
• Support market intelligence and tenant prospecting research
• Develop underwriting support and reporting tools

Property Management & Financial Workflow Automation

• Automate CAM reconciliation data processing and variance detection
• Streamline tenant reporting and communication workflows
• Track vendor contracts, compliance deadlines, and service obligations
• Extract and structure financial data from operational documents

Data Infrastructure & Knowledge Systems

• Structure internal documents and data for AI retrieval and automation
• Build document ingestion, indexing, and retrieval pipelines
• Implement vector search and knowledge retrieval systems
• Maintain data integrity, access control, and auditability

Systems Integration & Deployment

• Integrate AI tools with property management, accounting, CRM, and document platforms
• Deploy systems within secure cloud environments
• Implement logging, monitoring, performance, and cost controls
• Ensure reliability and scalability of deployed systems

Collaboration & Implementation

• Translate operational workflows into technical automation solutions
• Work directly with leadership to prioritize automation opportunities
• Train teams and implement adoption workflows
• Establish standards for responsible and secure AI usage

Required Qualifications

• Bachelor’s or advanced degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative discipline
• Demonstrated success in a rigorous academic or research environment
• 3–7+ years building production software, automation systems, or applied AI solutions
• Strong Python development and API integration experience
• Experience working with structured and unstructured data
• Experience deploying systems in cloud environments
• Strong understanding of system architecture and data pipelines
• Exceptional analytical and problem-solving ability

Preferred Qualifications

• Experience building document intelligence or contract analysis systems
• Experience with retrieval systems and vector databases
• Experience automating financial or operational workflows
• Experience integrating AI into business operations environments
• Experience in real estate, finance, logistics, or operations-heavy industries
• Evidence of research, technical publications, competitive programming, or open-source contributions

Technical Environment (Representative)

• Python and API-based architectures
• LLM platforms and agent orchestration frameworks
• Cloud infrastructure (AWS, Azure, or GCP)
• SQL and vector databases
• Workflow orchestration and automation tools
• Version control, logging, and monitoring systems

Success Metrics

• Performance in this role will be evaluated by:
• Reduction in manual administrative workload
• Automation coverage across operational workflows
• Accuracy and reliability of AI-driven outputs
• Adoption and usage across departments
• Operational efficiency gains and cost reductions

Work Environment

• Hybrid work model with in-person collaboration in Orange County
• Direct collaboration with executive leadership and operational teams
• High autonomy in system architecture and implementation decisions

AI Product Manager

Salary Range: $160k to $180k

Role Summary

We’re hiring an AI Product Manager to own the feature roadmap for our client's AI procurement agents and AI enabled product experiences. This is a highly collaborative role for someone who can lead discovery, translate real contractor workflows into product, and ship AI features that create measurable lift.

What You’ll Own

• Feature roadmap for AI procurement agents and AI assisted workflows (not overall product strategy)
• Discovery + validation: spend time with contractors and suppliers to understand real workflow friction
• AI product execution: define requirements, align design/engineering, and deliver reliable AI features
• Capability boundaries: understand what LLM/agent systems can and cannot do; design accordingly
• Cross functional collaboration: partner deeply with Engineering, Design, and GTM to ship and iterate
• Operational excellence: use AI tools to make your own PM workflow faster and sharper

What We’re Looking For

• 3–7 years product experience, with clear ownership of feature roadmaps and execution
• LLM + agent fluency (not necessarily ML): understands how to apply AI to real workflows
• Strong discovery discipline: avoids jumping to solutions too early; frames the real need first
• Natural problem solver with strong product instincts and structured thinking
• Excellent communicator who can align teams and explain AI behavior clearly to stakeholders
• Passion for staying current on LLMs/agents, tools, and AI product patterns

Location Requirement

Onsite in Irvine, CA (this is not a remote role)

Our client, a well-funded, video collaboration technology company is hiring an Account Executive to help expand its footprint across the media and entertainment landscape. This is a rare opportunity to work directly alongside a repeat entrepreneur who previously scaled a startup to a global multimillion dollar company, paired with a deeply technical co-founder with 25+ years in telecommunications and video innovation.

The company sits at the intersection of premium video technology and human connection, delivering high-fidelity, broadcast-grade collaboration experiences for organizations where quality, presence, and reliability matter. The team is building a next-generation platform designed to make digital collaboration feel more natural, immersive, and dependable.

The Opportunity

This role is ideal for a motivated, consultative seller who enjoys building pipeline, owning deals end-to-end, and working closely with founders in an early-stage growth environment. You’ll focus selling into media and entertainment organizations (ideally brand side experience), engaging senior decision-makers and helping them solve real operational and creative collaboration challenges through modern video infrastructure.

What You’ll Be Responsible For

• Driving new revenue across media and entertainment accounts
• Owning the full sales cycle from outbound prospecting through close
• Closing mid-market deals typically in the $40K–$60K ACV range - will go upmarket
• 50/50 focus on net new vs warm leads
• Running discovery, demos, and solution mapping conversations with executive stakeholders
• Navigating multi-stakeholder buying groups and technical evaluators
• Applying a consultative sales approach tied to business outcomes
• Maintaining disciplined pipeline and forecast accuracy
• Feeding structured market and buyer insight back to product and leadership

Core Experience

• 5+ years of B2B SaaS sales experience
• Consistent track record closing mid-market deals ($40K–$100K ACV)
• Experience selling into executive and C-suite buyers
• Exposure to media, entertainment, broadcast, creative, or production environments
• Comfortable operating in early-stage or scaling companies where structure is evolving

Selling Style & Traits

• True hunter mentality with strong self-sourcing habits
• Consultative and solutions-oriented rather than purely transactional
• Comfortable with ambiguity and high ownership
• Proactive, resourceful, and execution-focused
• Strong communicator with executive presence
• Curious, coachable, and continuously improving craft

What Makes This Role Attractive

• Direct access to experienced, product-driven founders
• OTE guarantee
• Real influence on early go-to-market motion and customer strategy
• Equity
• Benefits package included
• High product quality bar and engineering credibility
• Opportunity to help shape how a category-defining collaboration platform scales
• Growth upside as the company grows

About Us:

Astiva Health, Inc., located in Orange, CA is a premier health plan provider specializing in Medicare and HMO services. With a focus on delivering comprehensive care tailored to the needs of our diverse community, we prioritize accessibility, affordability, and quality in all aspects of our services. Join us in our mission to transform healthcare delivery and make a meaningful difference in the lives of our members.

SUMMARY:

We are seeking a skilled and adaptable Junior AI/ML Engineer to join our fast-moving team building impactful AI solutions in healthcare. Our work focuses on extracting and interpreting data from unstructured medical documents, improving clinical coding accuracy, streamlining administrative processes, and enhancing patient outreach.

Projects will evolve rapidly, from fine-tuning large language models (LLMs) on specialized medical PDFs, to optimizing OCR pipelines in Azure, and new challenges emerge regularly. This role suits someone who thrives in ambiguity, enjoys hands-on model development, and wants to directly influence healthcare delivery through applied AI/ML.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:

• Design, fine-tune, and optimize large language models (LLMs) and multimodal models for healthcare-specific NLP tasks, such as information extraction, classification, and summarization from clinical documents (e.g., medical charts, patient files, scanned forms).
• Develop and improve document understanding pipelines, including fine-tuning OCR / layout-aware models (especially in cloud environments like Azure AI, Azure Foundry) to handle real-world variability in medical forms, handwriting, and scanned PDFs.
• Build and iterate on end-to-end ML solutions that transform unstructured healthcare data into structured, actionable insights
• Collaborate closely with clinicians, product managers, data annotators, and engineers to define problems, curate/annotate datasets, evaluate model performance against clinical and business metrics, and iterate quickly.
• Deploy models into production environments (cloud-based inference, batch processing, or API endpoints) with attention to latency, cost, scalability, and healthcare compliance considerations (HIPAA, data privacy).
• Stay current with advancements in LLMs, vision-language models, efficient fine-tuning techniques (LoRA/QLoRA, PEFT), RAG, multimodal AI, and domain-specific healthcare AI research.
• Contribute to a culture of rapid prototyping, rigorous evaluation, and continuous improvement in a dynamic project landscape where priorities can shift based on new opportunities or stakeholder needs.
• Other duties as assigned

REQUIRED TECHNICAL SKILLS:

• Proficiency in Python and familiarity with common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
• Experience applying NLP techniques to unstructured text
• Hands-on experience working with LLMs, including:
• Prompt design and iteration
• Using pre-trained models for classification or extraction tasks
• Foundational understanding of model fine-tuning, such as:
• Fine-tuning transformer models or LLMs for classification or information extraction
• Adapting existing training scripts or examples to new datasets
• Familiarity with model evaluation metrics (precision, recall, F1) and basic error analysis
• Experience working with labeled datasets and annotation outputs, including reviewing label quality
• Understanding of common ML problem types, including binary and multi-label classification
• Awareness of model bias, label noise, and false positives, with the ability to discuss tradeoffs and mitigation strategies
• Basic understanding of production ML workflows (versioning, reproducibility, monitoring concepts)

OTHER SKILLS and ABILITIES:

• Hands-on fine-tuning experience with LLMs (e.g., Hugging Face, OpenAI fine-tuning, Azure Foundry), even if limited to small-scale or academic projects
• Exposure to cloud ML platforms (Azure ML, AWS SageMaker, or GCP)
• Familiarity with RAG architectures and retrieval-based grounding
• Experience with NLP libraries (spaCy, Hugging Face Transformers, NLTK)
• Introductory experience with weak supervision or noisy-label learning
• Interest in healthcare or biomedical NLP
• Curiosity about knowledge graphs, ontologies, or structured prediction
• Familiarity with secure data handling practices
• Willingness and ability to learn workflows for sensitive or regulated data (e.g., HIPAA-covered healthcare data), including privacy-aware data handling and secure ML workflows

EXPERIENCE:

• Bachelor’s Degree in related field
• 1–2 years of experience in machine learning, applied NLP, or software engineering
• Demonstrated some experience training or fine-tuning ML models, not just using APIs
• Ability to collaborate with senior engineers and domain experts and incorporate feedback

BENEFITS:

• 401(k)
• Dental Insurance
• Health Insurance
• Life Insurance
• Vision Insurance
• Paid Time Off
• Free catered lunches

***Candidates must be based in California, Maryland, or DC.***

ABOUT SEQUOIA CLIMATE FOUNDATION

Sequoia Climate Foundation is a climate philanthropy that believes in a world powered by clean energy, where all people are protected by policies that have averted the worst effects of climate change. We support bold strategies and efforts that will have both near-term impact and the greatest probability of long-term success. We believe that solving climate change requires the adoption of ambitious, evidence-based policy solutions that transform markets, advance clean technology, and lead to large‐scale change.

JOB SUMMARY

The Evidence and Learning Officer implements evidence and learning practices, providing actionable, evidence-based insights to grantmaking staff. They provide support in the development of theories of change, and review proposed strategies and grants to support high impact grantmaking. They work closely with grantmaking teams, providing training on key evidence and learning practices, as well as ongoing coaching and implementation support. They support strategic reflection practices with both grantmaking staff and grantees, using established methods and approaches. They work across multiple grantmaking portfolios, and are able to adapt their modes of engagement to meet the needs of grantmaking staff. Where necessary, they engage directly with grant recipients on evidence and learning related topics. They foster and embody a culture of organizational learning. The Research Officer will report to the Chief Evidence and Learning Officer, and collaborate closely with grantmaking staff across multiple organizations.

ESSENTIAL JOB FUNCTIONS & KEY OUTCOMES

• Collaborates with multiple grantmaking portfolios to support theory of change development and provide pragmatic reviews of proposed grantmaking (using established methods and protocols).
• Supports grantmaking teams to implement purpose-oriented reflection practices with grantees that support grant stewardship and ongoing learning.
• Supports implementation of structured processes for reflection and evidence-based briefings oriented toward distilling actionable insights that maximize climate impact.
• Collaborates with other Evidence and Learning staff to conduct purpose-driven, pragmatic quantitative analysis in support of philanthropic decision-making.
• Fosters and embodies a culture of iterative experimentation and learning internally and with partners.
• Manages multiple projects and timelines
• Performs other duties as required.

EDUCATION, EXPERIENCE & CREDENTIALS

• Advanced degree in policy, science, engineering, or mathematics required.
• A minimum of three years working in climate policy, climate philanthropy, or a related field is required.
• Demonstrated experience with synthesizing and translating technical content into actionable insights delivered verbally or writing or verbally required.
• Demonstrated experience with project management and coordination across a team required.
• Knowledge of learning and reflection practices preferred.

COMPETENCIES

• Integrity: Commitment to Sequoia Climate Foundation's mission and values.
• Inspirational Leadership: Demonstrated values-based, results-driven leadership.
• Collegiality: Strong work ethic and experience working collaboratively with a team.
• Efficiency/Initiative: Ability to learn quickly, juggle multiple tasks, prioritize effectively and meet deadlines.
• Quality/Compliance: Attention to detail and timelines.
• Analysis: Comfortable applying mathematical concepts, including calculus, statistics, and Bayesian probability.

WORKING CONDITIONS

This is largely a sedentary position that requires the ability to speak, hear, see, and lift small objects up to 15 lbs. Requires the ability to periodically travel locally, regionally, nationally, and internationally.