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Lead Data Scientist - Personalization & Recommendation Engines Location: SF Bay Area - Hybrid (3 days/week onsite) Salary: $200-260k base + Equity A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You'll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale. What You’ll Do • Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement., • Own the ML development process—from data exploration and feature engineering to model training, deployment, and post-launch optimization., • Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives., • Experiment with emerging AI techniques, including GenAI, Computer Vision, and LLMs, to push the boundaries of what’s possible on the platform., • Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion. What You Bring • 7–10 years of experience building, deploying, and maintaining ML models at scale., • Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow., • Proven track record in consumer tech or large-scale marketplaces companies., • Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms., • Background in user behavior modeling, search relevance, or real-time data systems., • Strong foundation in experimentation (A/B testing), statistics, and applied ML., • Exceptional communication skills and the ability to translate technical insights into business value., • Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.

Metric Bio is recruiting on behalf of a San Francisco–based digital health company that is building an AI-powered platform to transform patient care and healthcare delivery. We are seeking a Machine Learning Engineer who is passionate about applying advanced ML techniques to solve complex challenges in healthcare. This is an opportunity to work on a modern stack with a team that values hands-on technical depth, collaboration, and mission-driven impact. Responsibilities: • Design, train, and optimize machine learning models for healthcare applications, including natural language processing, patient risk scoring, and workflow automation., • Develop and maintain production-grade ML pipelines using MLOps tools (MLflow, Kubeflow, SageMaker, or similar)., • Collaborate with software engineers, data scientists, and clinicians to integrate ML models into scalable production systems., • Contribute hands-on to engineering across the company’s technical stack: Python/Django, Vue, Kubernetes, and GCP., • Ensure reliability, fairness, and compliance of models with healthcare standards (HIPAA, HITRUST)., • Participate in code reviews, pair programming, and architecture discussions as part of a collaborative engineering culture. Qualifications: • 3–6 years of experience as a Machine Learning Engineer, Applied ML Scientist, or related role., • Strong programming skills in Python and deep familiarity with frameworks such as TensorFlow, PyTorch, and Scikit-learn., • Hands-on experience deploying ML models into production environments., • Cloud expertise, ideally with GCP; Kubernetes and containerization experience preferred., • Knowledge of healthcare data formats (FHIR, HL7) or experience with digital health systems strongly preferred., • Excellent communication and problem-solving skills, with the ability to collaborate across technical and clinical teams., • Passion for leveraging AI to improve patient outcomes and healthcare delivery.

Staff Data Scientist – Post Sales Location: San Francisco (Hybrid) Salary: $200–250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re expanding our data science organization to accelerate customer success after the initial sale—driving onboarding, retention, expansion, and long-term revenue growth. About the Role As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention. Key Responsibilities • Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring., • Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value., • Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion., • Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn., • Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals., • Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams., • Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions. About You • Experience: 6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment., • Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning., • Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring., • Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy., • Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders., • Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.

We are working with an advanced technology company at the forefront of developing AI-driven solutions for complex real-world challenges. Our team is pioneering next-generation decision-making systems, combining simulation, real-time data, and cutting-edge machine learning. Role Overview: We are seeking a talented AI/ML Engineer to join our growing team. In this role, you will design, develop, and optimize intelligent learning systems that adapt to dynamic environments. You’ll work closely with researchers and engineers to build scalable, high-performance AI platforms that power mission-critical applications. Key Responsibilities • Model Development: Design, develop, and deploy advanced AI/ML models for real-world use cases., • Research & Innovation: Experiment with emerging techniques to stay at the frontier of AI., • Engineering Excellence: Build robust, scalable systems that seamlessly integrate AI into production environments., • Strong technical foundation in AI/ML, data science, and systems engineering., • Experience building and deploying ML models in production., • Familiarity with modern AI frameworks and environments., • Ability to balance long-term innovation with short-term tactical execution., • Problem-solving mindset with a drive to learn and adapt., • Experience with distributed or edge-deployable ML systems., • Background in mission-critical domains such as autonomy, national security, or advanced robotics., • Exposure to containerization, orchestration, or cloud infrastructure., • Competitive compensation and equity., • Full health benefits + 401(k)., • Opportunity to help scale a cutting-edge AI company from the ground up., • Offices in California with opportunities for travel to partner sites.

Staff Data Scientist – Sales Analytics Location: San Francisco (Hybrid) Salary: $200–250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel. About the Role As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth. Key Responsibilities • Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections., • Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates., • Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives., • Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects., • Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions., • Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting., • Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations. About You • Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments., • Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning., • Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions., • Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy., • Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams., • Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.

SENIOR DATA SCIENTIST - SEARCH AND RECOMMENDATIONS SAN FRANCISCO BAY AREA (HYBRID) $160,000 – $190,000 BASE SALARY + EQUITY ABOUT THE ROLE We’re seeking a Data Scientist II to drive next-generation personalization and discovery for a fast-growing social commerce marketplace. You’ll partner with Machine Learning Engineers and product teams to design, build, and deploy models that impact millions of daily buyers and sellers. This is a high-impact, hands-on position ideal for someone passionate about transforming large-scale data into measurable business outcomes. KEY RESPONSIBILITIES • Model Development: Build and refine recommendation, personalization, and ranking models that scale to millions of users and hundreds of thousands of new listings each day., • Experimentation: Design and analyze A/B tests, iterating on metrics such as click-through rate, conversion, and listing quality., • Collaboration: Work closely with MLEs to move models from prototype to production, ensuring performance and reliability., • Data & Insights: Explore large-scale marketplace data to identify trends, create features, and improve model accuracy., • Cross-Functional Impact: Partner with product, engineering, and analytics stakeholders to translate business needs into technical solutions. REQUIREMENTS • 3+ years of applied data science or machine learning experience, • Proficient in Python and deep learning frameworks (PyTorch or TensorFlow), • Hands-on with recommendation, ranking, or personalization models at consumer scale, • Skilled in working with high-volume data and deploying production ML systems, • Knowledge of full ML lifecycle: development through monitoring, • Familiar with modern data infrastructure (Databricks, Feature Stores) and cloud platforms (GCP/AWS) Why Join • You’ll join an expanding AI/ML team that’s scaling rapidly to support multiple product squads, offering opportunities to work on cutting-edge projects and deepen your technical expertise. Expect mentorship from senior staff scientists, visibility across teams, and the chance to shape personalized shopping experiences for millions of global users.

Our client’s team harnesses machine learning to advance drug development and optimize clinical trial design. Their work involves developing cutting-edge multimodal generative models, representation learning techniques, and reinforcement learning applications to extract meaningful insights from imaging and omics data. Job Title: Computational Biologist – Immunology & Spatial Omics Location: (Fully onsite) South San Francisco, CA Type: 3-month contract (Very likely to extend) Pay Range: $45–$65/hr+(flexible for the right candidate) Start Date: ASAP About the Role: To establish robust and integrated data-driven analysis frameworks that leverage multimodal data (molecular, cellular, clinical, and imaging) in Inflammatory Bowel Disease (IBD) to enhance decision-making across the research and development pipeline with a focus on target discovery, target prioritization, biomarker discovery, and biomarker development. Key Responsibilities: • Develop and optimize ML/AI models (e.g., autoencoders, scVI, transformers) for spatial mapping using scRNA-seq reference atlases, • Integrate spatial and single-cell datasets to support immunology-focused research Required Qualifications: • PhD in computational biology, bioinformatics, or related field with 3–5 years of relevant experience, • Strong background in immunology & computational biology – in depth knowledge of IBD pathogenesis, relevant immune pathways and current therapeutics landscape., • Experience applying AI/ML methods to analyze multimodal omics, • Expertise in immunology is required, expertise in IBD, • Must be authorized to work in the U.S. without sponsorship needed.

Staff Machine Learning Scientist Location: SF Bay Area - Hybrid (3 days/week onsite) Salary: $275-325k base + Equity A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You'll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale. What You’ll Do • Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement., • Own the ML development process—from data exploration and feature engineering to model training, deployment, and post-launch optimization., • Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives., • Experiment with emerging AI techniques, including GenAI, Computer Vision, and LLMs, to push the boundaries of what’s possible on the platform., • Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion. What You Bring • 7–10 years of experience building, deploying, and maintaining ML models at scale., • Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow., • Proven track record in consumer tech or large-scale marketplaces companies., • Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms., • Background in user behavior modeling, search relevance, or real-time data systems., • Strong foundation in experimentation (A/B testing), statistics, and applied ML., • Exceptional communication skills and the ability to translate technical insights into business value., • Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.

Senior Machine Learning Engineer SF Bay Area: Hybrid (3 days onsite/wk) $175,000 - $200,000 Base + Equity A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Senior Machine Learning Engineer. Their marketplace connects buyers and sellers through personalized, trustworthy, and engaging experiences. With a strong engineering culture and a focus on applied AI, their team is building next-gen features to shape how users discover, connect, and transact. Role We’re looking for a Senior MLE to take technical leadership of a core AI initiative. This is a high-impact, hands-on role where you’ll architect and deploy large-scale ML systems, drive end-to-end model productionization, and influence engineering culture across squads. You’ll partner closely with data scientists and product teams to deliver real-time, intelligent features that delight users and scale globally. Responsibilities • Solid foundation in distributed computing pipelines and observability, • for large-scale ML systems (batch & real-time), • Deploy experimentation-ready models into production with DS partners, • Build robust MLOps pipelines for serving, monitoring, and optimizing models, • Develop real-time inference systems, including vector database integrations, • Tackle challenging problems in personalization, fraud prevention, search, and GenAI tools Requirements • Solid software engineering foundation with Python and backend/data systems, • Experience deploying ML models in production at scale, • Exposure to distributed systems, performance tuning, and cost optimization, • Proficiency with PyTorch or TensorFlow, Airflow, Spark, Databricks, MLFlow, • Experience with real-time and batch pipelines, feature stores, and scalable inference, • Marketplace, e-commerce, or large-scale content platform experience, • Familiarity with GenAI/LLM ops, real-time personalization, or fraud detection

This position requires you to already have an office space within 30 miles of Rohnert Park, CA! Our mission: to eliminate every barrier to mental health.Spring Health is a comprehensive mental health solution for employers and health plans. Unlike any other solution, we use clinically validated technology called Precision Mental Healthcare to pinpoint and deliver exactly what will work for each person — whether that’s meditation, coaching, therapy, medication, and beyond. Today, Spring Health equips over 800 companies, from start-ups to multinational Fortune 500 corporations, as a leading and preferred mental health service. Companies like General Mills, Guardian, Bain, and Instacart use the Spring Health platform to provide mental health services to thousands of their team members globally. We have raised over $300 million from prominent investors including Kinnevik, Tiger Global, Northzone, RRE Ventures, Rethink Impact, Work-Bench, William K Warren Foundation, SemperVirens, Able Partners, True Capital Ventures, and a strategic investor, Guardian Life Insurance. Thanks to their partnership, our current valuation has reached $2.5 billion. We are seeking qualified therapists to join our clinical team and deliver care with a tech-enabled, AI/machine-learning platform that puts patient outcomes first. We have a need for providers open to offering in-person and/or telehealth services, in a local, state/multi-state, or nationwide capacity depending on your goals and licensure. What You'll Do: • Provide psychotherapy to clients with benefits ranging from short-term goal-focused EAP, to employer health plans allowing many sessions as medically necessary., • Treat adults who have completed brief, evidence-based online screenings identifying their symptoms and areas of concern., • Preferably, also be open to treating additional populations such as children, adolescents, couples, or families., • Maintain a calendar displaying your availability and complete session documentation in a timely manner within our EHR., • Use evidence-based treatment modalities and interventions that are tailored to your client’s needs., • Collaborate with our dedicated provider support team, our licensed clinical care navigation team, and our administrative care support team whenever you need assistance., • Provide culturally competent and empathetic care, upholding our values of diversity and inclusion for all races, ethnicities, and genders. Who You Are: • You have an unrestricted license to practice psychotherapy in at least one state and ideally, multiple states (Psychologist, LCSW, LMFT, LMHC, etc.). We are not able to accept applications from anyone requiring licensed supervision., • Minimum 3 years of total experience within mental healthHave a dedicated office space in which to provide in-person therapy if you choose to provide those services, • You're comfortable with technology, have the ability to manage an online calendar, are comfortable completing notes, reviewing case files. and general documentation online, and are comfortable delivering therapy via Zoom, • You have training and experience in evidence-based modalities of care such as CBT, DBT, EMDR, ACT, CPT., • You are comfortable with providing safety planning and intervention during situations where a client might present with higher risks., • You are committed to quality clinical care and want to expand your capabilities and increase your effectiveness by being informed of client progress or challenges. You like working independently, but would also enjoy having the support of a team and opportunities for connections and collaboration with other providers and our master’s level clinical care navigators. We reimburse within a range of $70 to $150 per hour depending on licensure, appointment medium, specialities, experience and location. Individual pay may vary from the target range and is determined by a number of factors including internal pay equity and other relevant business considerations. Why you'll like working with Spring Health: • You’ll set your own schedule to fit your professional and personal needs., • Work from anywhere in the US, as long as you have a confidential, private location with stable internet., • No need to spend time marketing your practice, checking insurance eligibility, collecting fees, or submitting claims---we take care of the administrative work so that you can focus on clinical care., • Grow your ability to provide effective care through feedback from evidence-based measures that help you identify what is working with your clients., • Join a dynamic community where you will be supported, your work appreciated, and you’ll have the opportunity to help us shape the future of mental health care! In addition to finding people who are truly excellent at what they do, we take our values at Spring Health seriously: • Members Come First We are genuine member advocates., • Move Fast to Change Lives We build with urgency and intention., • Take Ownership We extend trust and hold ourselves accountable., • Embrace Diverse Teams & Perspectives We find strength in the diversity of cultural backgrounds, ideas, and experiences., • Science Will Win We will achieve impact by innovation and evidence based frameworks., • Candor with Care We are open, honest and empathetic. Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

Design, train, and optimize machine learning models for healthcare applications, including natural language processing, patient risk scoring, and workflow automation. Machine Learning Engineer, Applied ML Scientist, or related role.

Senior Machine Learning Engineer.A leading commerce marketplace with 130M+ users and billions of daily events is hiring a.Senior Machine Learning Engineer.Their marketplace connects buyers and sellers through personalized, trustworthy, and engaging experiences.With a strong engineering culture and a

Staff Machine Learning Scientist. A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI.

Design, train, and optimize machine learning models for healthcare applications, including natural language processing, patient risk scoring, and workflow automation. Machine Learning Engineer, Applied ML Scientist, or related role.

Shari's Cafe and Pies - 301 Rohnert Park Expy W [Dishwasher / Busser / Porter / Cleaning] As a Dish Machine Operator at Shari's, you will: Load, run and unload dish machine; Keep the dish machine clean and report any functional or mechanical problems; Wash and store all tableware and kitchenware; Ke

Design, train, and optimize machine learning models for healthcare applications, including natural language processing, patient risk scoring, and workflow automation. Machine Learning Engineer, Applied ML Scientist, or related role.

We are seeking a highly skilled and experienced Senior IT Project Manager to lead and deliver complex IT projects with a focus on network telecom infrastructure and iterative deployment methodologies.The ideal candidate will possess deep expertise in managing projects involving microwave networks, c

Must be local to NCAL to travel in at least once a month.The immediate need is for someone who can be the PM on the Enterprise Estimating System (EES), which will be undergoing major changes over the next three years.The application is used by about 1400 designers to do everything between completion

Design, train, and optimize machine learning models for healthcare applications, including natural language processing, patient risk scoring, and workflow automation. Machine Learning Engineer, Applied ML Scientist, or related role.

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI.

Design, train, and optimize machine learning models for healthcare applications, including natural language processing, patient risk scoring, and workflow automation. Machine Learning Engineer, Applied ML Scientist, or related role.

Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning.

Design, train, and optimize machine learning models for healthcare applications, including natural language processing, patient risk scoring, and workflow automation. Machine Learning Engineer, Applied ML Scientist, or related role.

Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects. Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning.

Commercial Construction (DSA / Healthcare Focus).Bay Area (SF, Oakland, Berkeley).Southern California (Moreno Valley, etc.As a Project Manager, you’ll be responsible for:.Leading overall project and team performance.Building strong relationships with owners, architects, subcontractors, and interna

You'll partner with Machine Learning Engineers and product teams to design, build, and deploy models that impact millions of daily buyers and sellers. Proficient in Python and deep learning frameworks (PyTorch or TensorFlow).

We also offer extensive professional development opportunities: mentorship, LinkedIn Learning, AIA certifications, guest seminars, and more.

I am partnering with a global construction company looking for a seasoned.In this leadership role, you’ll provide strategic direction, manage executive-level client relationships, and oversee a team of Project Managers, Assistant Project Managers, and support staff.The Senior PM will play a key ro

As Senior Project Manager, you will oversee the planning, execution, and delivery of large-scale water/wastewater treatment facilities, pump stations, pipelines, and related infrastructure.You will be the key driver in managing schedules, budgets, subcontractors, field crews, and client relationship

Are you looking to grow your career in project management? I am working with a global construction consulting firm who are looking for an.Assistant Project Manager (APM).This is a fantastic opportunity to work alongside experienced Project Managers and senior leaders, gaining hands-on experience whi

Commercial Construction (DSA / Healthcare Focus).Bay Area (SF, Oakland, Berkeley).Southern California (Moreno Valley, etc.As a Project Manager, youll be responsible for:.Leading overall project and team performance.Building strong relationships with owners, architects, subcontractors, and internal t

We also offer extensive professional development opportunities: mentorship, LinkedIn Learning, AIA certifications, guest seminars, and more.

Working with a global construction company looking for an experienced.This role combines hands-on project leadership with internal business support, offering the opportunity to manage complex projects while contributing to business development, financial management, and team growth.Lead client relat

My client is seeking a Water/Wastewater Project Manager to join their team in the San Francisco Bay Area.They will manage a variety of water and wastewater projects, including water pipelines, sewer systems, tanks/reservoirs, pump stations, and treatment facilities.This position offers substantial c

I am partnering with a global construction company looking for a seasoned.In this leadership role, youll provide strategic direction, manage executive-level client relationships, and oversee a team of Project Managers, Assistant Project Managers, and support staff.The Senior PM will play a key role

As a Project Manager at Filanc, you will have the opportunity to be part of a highly respected water/wastewater construction company.Projects are located across Central California.You will have the chance to continually learn and take your knowledge and skills to the next level and be fully supporte

We also offer extensive professional development opportunities: mentorship, LinkedIn Learning, AIA certifications, guest seminars, and more.

Working with a global construction company looking for an experienced.This role combines hands-on project leadership with internal business support, offering the opportunity to manage complex projects while contributing to business development, financial management, and team growth.Lead client relat

Project Manager with either DSA or Healthcare.Inland Empire and surrounding Riverside- Moreno Valley areas.Comprehensive package including medical, dental, vision, PTO, and 401(k).A well-established $250M commercial General Contractor is seeking an experienced.DSA school projects across the Inland E

We also offer extensive professional development opportunities: mentorship, LinkedIn Learning, AIA certifications, guest seminars, and more.

Commercial Construction (DSA / Healthcare Focus).Bay Area (SF, Oakland, Berkeley).Southern California (Moreno Valley, etc.As a Project Manager, youll be responsible for:.Leading overall project and team performance.Building strong relationships with owners, architects, subcontractors, and internal t

You’ll partner with Machine Learning Engineers and product teams to design, build, and deploy models that impact millions of daily buyers and sellers. Proficient in Python and deep learning frameworks (PyTorch or TensorFlow).

The ideal candidate will be responsible for planning, coordinating, and implementing projects within the decided-upon budget, timeline, and scope.They will also effectively monitor and present project updates to relevant stakeholders, clients, or project team members.Oversee total construction effor

Youll partner with Machine Learning Engineers and product teams to design, build, and deploy models that impact millions of daily buyers and sellers. Proficient in Python and deep learning frameworks (PyTorch or TensorFlow).

Project Manager with either DSA or Healthcare.Inland Empire and surrounding Riverside- Moreno Valley areas.Comprehensive package including medical, dental, vision, PTO, and 401(k).A well-established $250M commercial General Contractor is seeking an experienced.DSA school projects across the Inland E

You’ll partner with Machine Learning Engineers and product teams to design, build, and deploy models that impact millions of daily buyers and sellers. Proficient in Python and deep learning frameworks (PyTorch or TensorFlow).

I am partnering with a global construction company looking for a seasoned.In this leadership role, you’ll provide strategic direction, manage executive-level client relationships, and oversee a team of Project Managers, Assistant Project Managers, and support staff.The Senior PM will play a key ro

My client is seeking a Water/Wastewater Project Manager to join their team in the San Francisco Bay Area.They will manage a variety of water and wastewater projects, including water pipelines, sewer systems, tanks/reservoirs, pump stations, and treatment facilities.This position offers substantial c