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Job Description Location: CSU East Bay Admin • We are hiring immediately for full time DISHWASHER positions., • Address: CSU East Bay Admin - 25800 Carlos Bee Boulevard, Hayward, CA 94542. Note: online applications accepted only., • Schedule: Full time schedule. Monday through Friday, hours may vary; nights and weekends are required. More details upon interview., • Requirement: Previous dishwashing experience is preferred but not required., • Pay Rate: $20.00 per hour We Make Applying Easy! Want to apply to this job via text messaging? Text JOB to 75000 and search requisition ID number 1449487. The advertised program is a conversational recruiting assistant that helps you apply to jobs with Compass Group. Message frequency varies. Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions: Application Deadline: applications are accepted ongoing until all openings are filled for this position. If an applicant is declined due to the position being filled, they may still be considered for future opportunities and are always welcome to reapply. Join our campus team where you are valued and empowered to make a difference. Enjoy competitive wages, benefits, and perks like Instapay through the One @Work app. Our careers are filled with purpose and encourage learning, growth, and meaningful impact. Apply today! Job Summary Summary: Maintains dishes, pots, pans, trays, kitchen, work areas, equipment and utensils in orderly and sanitary condition. Essential Duties and Responsibilities: • Scrapes and rinses food from dirty dishes and washes them by hand or places them in racks or on conveyor to dishwashing machine depending on assigned equipment. Ensures complete cleanliness and sanitation., • Washes pots, pans and trays based on assigned procedures. Ensure complete cleanliness and sanitation., • Polishes silver using burnishing machine tumbler, chemical dip, buffing wheel and hand cloth depending on assigned equipment and procedures. Ensures complete cleanliness and sanitation., • Ensures compliance with outlined safety procedures., • Maintains temperatures and chemical levels as outlined by provided standards., • Keeps dish area orderly and in compliance with safety standards., • Sweeps and mops kitchen floors to ensure compliance with safety and sanitation standards., • Washes worktables, walls, refrigerators, meat blocks and other food prep surfaces., • Removes trash and places it in designated containers. Steam cleans or hoses out garbage cans., • Transfers supplies and equipment between storage and work areas., • Helps load and unload supplies and product. We are always looking for ways to invest in our people both inside and outside of work to help them achieve their full potential. Both full-time and part-time associates are eligible for the following benefits: • Opportunities for Training and Development, • Retirement Plan, • Associate Shopping Program, • Health and Wellness Programs, • Discount Marketplace, • Identity Theft Protection, • Pet Insurance, • Voluntary Benefits, including Critical Illness Insurance, Accident Insurance, Hospital Indemnity Insurance, Legal Services, and Choice Auto and Home Program In addition, full-time positions also offer the following benefits to associates: • Medical, • Dental, • Vision, • Life Insurance/AD, • Disability Insurance, • Commuter Benefits, • Employee Assistance Program Because this position requires you to perform services in an educational facility, there may be periods when the Company does not require you to perform work (such as winter and summer breaks when food service needs decline or cease). Any such periods during which you do not perform work on the Company’s behalf may be unpaid and deemed a temporary layoff. However, depending on business needs, you may be required to work year-round, potentially at a different location during break periods. Business needs may vary from year to year. Our Commitment to Diversity and Inclusion Compass Group is an equal opportunity employer. At Compass, we are committed to treating all Applicants and Associates fairly based on their abilities, achievements, and experience without regard to race, national origin, sex, age, disability, veteran status, sexual orientation, gender identity, or any other classification protected by law. Qualified candidates must be able to perform the essential functions of this position satisfactorily with or without a reasonable accommodation. Disclaimer: this job post is not necessarily an exhaustive list of all essential responsibilities, skills, tasks, or requirements associated with this position. While this is intended to be an accurate reflection of the position posted, the Company reserves the right to modify or change the essential functions of the job based on business necessity. Applications are accepted on an ongoing basis. Chartwells Higher Ed maintains a drug-free workplace. We will consider for employment all qualified applicants, including those with a criminal history (including relevant driving history), in a manner consistent with all applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York Fair Chance Act.

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.

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

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.

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.

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 – 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.

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.

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.

Job DescriptionSalary: Data Scientist (Dublin, CA) SavvyMoney is a leading San Francisco East Bay fintech company. We provide integrated credit score and personal finance solutions to 1,500 + bank and credit union partners nationally. The SavvyMoney solutions integrate with more than 43 digital banking platforms. SavvyMoney was recently recognized by the San Francisco Business Times and the Silicon Valley Journal as one of the "Top 25 Places to Work in the San Francisco Bay Area" and is an Inc. 5000 Fastest Growing Company. Were headquartered in Dublin, CA, and offer a flexible hybrid work environment that blends in-office collaboration with the freedom of remote work. We are seeking a seasoned Data Scientist to join our team and lead initiatives in predictive modeling, personalization, and AI-driven financial recommendations. This individual will play a key role in building models that power personalized marketing, loan offers, credit improvement strategies, and next-best-action recommendations. The role requires expertise in data analysis to uncover business opportunities, traditional machine learning methods (tree-based models, neural networks) and emerging techniques, including Large Language Models (LLMs). You will collaborate closely with engineering to deploy models into scalable, low-latency production environments, as well as work with business and product stakeholders to generate ad-hoc analytics and actionable insights. Responsibilities • Perform exploratory and statistical data analysis to identify opportunities for model development and business optimization, • Design, build, and optimize machine learning models for:, • Marketing propensity modeling, • Personalized loan offers and recommendations, • Next-best-action predictions for improving credit scores, • Prototype solutions using advanced AI techniques to accelerate experimentation, • Partner with engineering teams to productionize models in a scalable and latency-conscious environment, • Query and analyze large datasets to uncover business insights and support decision-making, • Collaborate with business and product stakeholders to define problems, scope analyses, and deliver ad-hoc reports and dashboards, • Develop reusable frameworks, pipelines, and tools to accelerate model development and deployment, • Document methodologies, models, and assumptions to ensure clarity, reproducibility, and knowledge sharing, • Follow ethical AI principles and established guardrails to ensure fairness, transparency, and unbiased predictions. Experience • Masters or PhD in Computer Science, Statistics, Data Science, or related field (or equivalent experience), • 6+ years of professional experience in data science or machine learning, ideally in fintech, financial services, or a B2B2C environment, • Strong proficiency in SQL and Python (pandas, scikit-learn, PyTorch, TensorFlow, XGBoost, etc.), • Hands-on experience with tree-based models (XGBoost, LightGBM, CatBoost) and neural networks, • Proficiency in notebooks (Jupyter, Colab, etc.) and deep learning frameworks such as TensorFlow and PyTorch for model development, • Familiarity with LLMs and generative AI frameworks (HuggingFace, LangChain, OpenAI APIs, etc.), • Experience deploying machine learning models into production environments with considerations for scalability and latency, • Strong business acumen with the ability to translate complex analytical outputs into actionable recommendations, • Excellent communication skills to collaborate with both technical and non-technical stakeholders Preferred Experience • Experience with cloud-based platforms (AWS, GCP, or Azure) for model training and deployment, • Knowledge of MLOps tools and practices (MLflow, Airflow, Kubeflow, Docker, etc.), • Understanding of credit risk modeling, financial products, or consumer lending., • Experience working with APIs, real-time scoring, and event-driven architectures. Why Join Us? • High Impact: Your models will directly shape how people access loans, improve credit scores, and receive personalized financial recommendations, • Innovation-First Culture: From tree-based models to neural networks and LLMs, youll have the freedom to prototype with state-of-the-art techniques and put them in action, • Cross-Functional Collaboration: Work closely with product, engineering, and business leaders to take ideas from prototype to production., • Mission-Driven: Help democratize financial wellness and unlock opportunities for millions. Base Salary The annual base salary for this position is between $160,000 to $185,000 depending upon experience. Additionally we provide • Annual Bonus potential, • Equity compensation package, • Flexible Time Off Policy (Take time as you need it), • 401(k) with Employer contribution, • Medical, Dental, Vision 100% premium paid for employee, • Opportunity for career growth and challenge, • Beautiful California East Bay offices in Dublin, CA SavvyMoneys EEO Statement SavvyMoney relies on diversity of culture and thought to deliver on our goal of Creative People, Practical solutions serving our client needs, and ensures nondiscrimination in all programs and activities. We continuously seek talented, qualified employees in our operations regardless of race, color, sex/gender, including gender identity and expression, sexual orientation, pregnancy, national origin, religion, disability, age, marital status, citizen status, protected veteran status, or any other protected classification under country or local law. SavvyMoney is proud to be an Equal Employment Opportunity/ Affirmative Action Employer. We are committed to protecting your data. To learn more, please review the SavvyMoney Employee Privacy Policy Notice here

Job Description HECO PACIFIC Manufacturing, Inc. is engineering and manufacturing company located in Union City, CA, we build overhead bridge cranes from ¼ Ton to 300 Ton capacities. JOB DESCRIPTION SUMMARY: The Lead Engineer is responsible for overseeing mechanical and structural drafting and engineering functions while ensuring compliance with NQA-1 and NOG-1 standards. This role involves leading a team of drafters and engineers, managing projects, and ensuring that fabricated equipment meets quality assurance standards. 1. JOB REQUIREMENTS 1.1. Bachelor's degree in Mechanical Engineering or Structural Engineering. 1.2. At least 3 years of experience in overhead crane manufacturing. 1.3. Knowledge of NQA-1 and NOG-1 compliance and requirements (preferred). 1.4. Strong leadership and organizational skills. 1.5. Proficiency in project management and working with diverse teams. 1.6. Excellent communication and problem-solving skills. 1.7. Five (5) year experience with AutoCAD or certification equivalent 1.8. One (1) year experience in the fabrication industry and/or machine design preferred 1.9. Understanding of layer control and CAD templates 1.10. Demonstrated ability to make good decisions for cost effective manufacturing 1.11. Model control: Understand and ability to maneuver models efficiently without error 1.12. Demonstrated ability to maintain good working relationships at all levels 1.13. Receptive to learn and advance in knowledge through critical feedback 1.14. Experience with Microsoft Office Suite. 2. WORKING CONDITION 2.1. Environment: Primarily managing engineers, procurement and production, including fabrication shops, assembly areas, and testing facilities. Occasional field visits for installations may be required especially highly sensitive projects. 2.2. Physical Requirements: Ability to analyze drawings and materials required, oversee production activities and deadlines, oversee machinery maintenance. 2.3. Schedule: Full-time with flexibility to meet production deadlines, including occasional weekends or extended hours as necessary. 3. ESSENTIAL FUNCTION & PRINCIPAL DUTIES 3.1. Essential Functions: 3.2. Leadership & Management: Supervise and guide mechanical and structural drafters/engineers, ensuring alignment with company objectives. 3.3. Project Oversight: Manage engineering projects from inception to completion, ensuring timelines, budget adherence, and compliance. 3.4. Quality Assurance: Ensure fabricated equipment meets NQA-1 and NOG-1 compliance, working closely with quality assurance teams. 3.5. Process Improvement: Develop and improve CAD templates, drafting processes, and engineering workflows. 3.6. Collaboration: Work proactively with assemblers, machinists, procurement teams, and project managers. 3.7. Technical Expertise: Lead the drafting and modeling of machinery and structural components, ensuring accuracy and usability. 3.8. Problem-Solving: Identify errors in designs, provide solutions, and implement corrective actions. 3.9. Continuous Learning: Stay updated on industry best practices, equipment, and regulatory requirements. 3.10. Oversee and manage a team of mechanical and structural drafters/engineers. 3.11. Expert in 2D AutoCAD, layer control, blue beam, and plot style management. 3.12. Turn engineering models into burn patterns, machine, fabrication, and assembly drawings. 3.13. Ensure drawings are clear, accurate, and easy to follow. 3.14. Collaborate with engineers, machinists, and other departments to ensure smooth production. 3.15. Provide recommendations for process and design improvements. 3.16. Ensure proper documentation and organization of engineering files. 3.17. Oversee project development at different stages and manage deliverables effectively. 3.18. Conduct quality assurance checks on fabricated equipment to ensure compliance. 3.19. Manage engineering workflows to align with NQA-1 and NOG-1 requirements. 3.20. Assist in procurement processes by ensuring accurate and detailed Bill of Materials 4. MEASURE OF PERFORMANCE 4.1. Production Efficiency: Meeting or exceeding project deadlines while maintaining quality standards. Minimizing downtime and waste during fabrication and assembly processes. Maintain order and discipline at the shop, ensure all tools are stored back to its original station. 4.2. Quality Standards: Percentage of products passing initial quality control checks without rework. Customer satisfaction ratings for delivered and installed cranes. 4.3. Team Management: Employee productivity and retention rates. Successful implementation of training programs and measurable skill improvement among staff. 4.4. Cost Management: Maintaining or reducing production costs while adhering to budgetary constraints. Effectiveness in identifying and implementing process improvements. 5. SALARY, BENEFITS AND COMPENSATION: 5.1. Salary is upon the discretion of the owner. 5.2. Health and Dental Insurance. 5.3. Time off, sick pay and holiday pay are stipulated in the Employee Handbook. 5.4. Retirement matching contribution. 5.5. Incentive bonus, based on performance and company performance. 5.6. See Employee Handbook for more information. Company DescriptionCrane Manufacturing CompanyCrane Manufacturing Company

SENIOR DATA SCIENTIST - SEARCH AND RECOMMENDATIONS.SAN FRANCISCO BAY AREA (HYBRID).Were seeking a Data Scientist II to drive next-generation personalization and discovery for a fast-growing social commerce marketplace.Youll partner with Machine Learning Engineers and product teams to design, build,

Job Description The Company Tupos Therapeutics is led by a seasoned team of drug hunters and developers with a proven track record of advancing transformative therapies. Our collective experience includes the discovery and development of first-in-class medicines such as vemurafenib and pexidartinib, along with multiple clinical-stage programs across diverse indications. Our founding team helped pioneer a paradigm-shifting approach to small molecule drug discovery—anchoring structure-based drug design in the discovery and validation of novel chemical scaffolds, an innovation widely recognized as a major contribution to the field. At Tupos, we extend this legacy by integrating cutting-edge computational chemistry, machine learning and advanced chemical toolkits. This multifaceted approach allows us to tackle some of the most challenging problems in drug discovery and accelerate the path from program initiation to clinical entry. Headquartered near the geographic center of the San Francisco Bay Area—with an easy commute from the Peninsula, East Bay, and South Bay—Tupos is advancing a pipeline of novel therapies that target key immunological pathways—driven by a robust discovery platform and deep domain expertise. The Opportunity We are seeking a highly motivated Senior Immunologist with industry experience to join our growing R&D team. This is a unique opportunity to shape scientific strategy and help lay the foundation for future clinical success in a dynamic startup environment. The ideal candidate will bring a deep understanding of immunology, strong experimental and analytical skills, and a hands-on approach to scientific problem-solving. You will play a central role in characterizing immune mechanisms, demonstrating biological differentiation, addressing key translational questions, and advancing breakthrough therapies to patients in need. Responsibilities • Provide strategic and scientific leadership in immunology to guide the discovery and early development of novel therapeutics targeting immune-related pathways., • Design, execute, and interpret complex in vitro, in vivo, and ex vivo studies to elucidate mechanisms of action and assess pharmacodynamic responses, and support candidate selection., • Formulate and refine mechanistic hypotheses related to immune modulation, driving the development of differentiated therapeutic strategies., • Evaluate and select disease-relevant models and biomarker approaches to support translational planning and clinical readiness., • Lead cross-functional discovery efforts in close collaboration with medicinal chemistry, molecular biology, pharmacology, and clinical development to advance programs through key milestones., • Represent the immunology function in internal governance forums and external partnerships, contributing to program prioritization and portfolio strategy., • Author and deliver high-quality scientific communications, including internal reports, regulatory submissions, conference presentations, and peer-reviewed publications. Qualifications • Ph.D. in Immunology or a related field, with 8+ years of relevant experience in a biopharma or biotechnology setting; experience in early drug discovery is strongly preferred., • Deep expertise in immunology, with a strong understanding of immune signaling pathways, disease mechanisms, and immune modulation strategies., • Demonstrated success in designing and interpreting in vitro, in vivo, and ex vivo studies to support target validation, mechanism-of-action, and biomarker development., • Experience with a range of immunological assays (e.g., flow cytometry, cytokine profiling, cell co-culture systems) and disease-relevant models., • Proven track record of advancing immunology-focused programs through early discovery to development candidate nomination., • Strong leadership skills, with experience managing or guiding scientific teams and external collaborators., • Effective cross-functional collaborator with the ability to influence decision-making across disciplines including chemistry, translational science, and clinical development., • Excellent scientific communication skills, with experience presenting at internal governance meetings, external conferences, and contributing to peer-reviewed publications. Benefits and Pay The expected salary range for this position is $200,000 - $280,000. We encourage candidates of all levels to apply as there is sometimes flexibility on job level and responsibilities. Compensation and title will be based on a variety of factors, including experience, qualifications, and other job-related factors permitted by law. This position is also eligible for an annual bonus, equity, paid time off, and a benefits package. Benefits include company-subsidized medical, dental, and vision plans, and 401(K) matching. Employees may participate in benefit plans, subject to the terms and conditions of the applicable plans. Tupos Therapeutics is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. To all recruitment agencies: Tupos Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or to Tupos Therapeutics employees. Tupos is not responsible for any fees related to unsolicited resumes.

Collaborate with software engineers, data scientists, and clinicians to integrate ML models into scalable production systems. Knowledge of healthcare data formats (FHIR, HL7) or experience with digital health systems strongly preferred.

Job Description The Company Tupos Therapeutics is led by a seasoned team of drug hunters and developers with a proven track record of advancing transformative therapies. Our collective experience includes the discovery and development of first-in-class medicines such as vemurafenib and pexidartinib, along with multiple clinical-stage programs across diverse indications. Our founding team helped pioneer a paradigm-shifting approach to small molecule drug discovery—anchoring structure-based drug design in the identification and validation of novel chemical scaffolds, an innovation widely recognized as a major contribution to the field. At Tupos, we extend this legacy by integrating cutting-edge computational chemistry, machine learning, and a growing arsenal of advanced chemistry toolkits. This multifaceted approach enables us to tackle some of the most persistent challenges in drug discovery and accelerate the path from program initiation to clinical entry. Headquartered near the geographic center of the San Francisco Bay Area—with an easy commute from the Peninsula, East Bay, and South Bay—Tupos is advancing a pipeline of novel therapies that target key immunological pathways—powered by a robust discovery platform and deep domain expertise. The Opportunity We are seeking an accomplished and highly motivated Computational Chemist to join our discovery team and lead the design of novel small molecules across multiple therapeutic programs. The ideal candidate will bring deep expertise in computational chemistry and structure-based drug design, a creative and mission-driven mindset, and a strong track record of advancing programs from early discovery through development candidate nomination. This is a high-impact role with the opportunity to shape discovery strategy, collaborate closely with cross-functional teams, and contribute significantly to the development of transformative therapies in a fast-paced environment. Responsibilities • Design novel small molecules with exceptional potency, selectivity, and drug-like properties by applying cutting-edge computational and machine learning techniques, modern structure-based drug design methods, and deep SAR insights to drive innovation and differentiation., • Collaborate closely with cross-functional teams, including medicinal and synthetic chemistry, biology, DMPK, and translation medicine, to shape and execute discovery strategy, troubleshoot complex problems, and accelerate the progression of programs through key discovery milestones., • Integrate and interpret diverse data streams, including biophysical/chemical, cellular, ADME, pharmacological, and structural biology data, to refine compound design hypotheses and enable rapid, data-driven decision-making in a fast-paced environment., • Advance chemical series through iterative design cycles, proactively identifying and addressing liabilities related to efficacy, selectivity, pharmacokinetics, and developability, while contributing to intellectual property strategy and creation., • Maintain fluency with emerging tools, technologies, and scientific literature in computational chemistry, machine learning, and drug discovery to bring forward novel approaches and continuously improve internal capabilities., • Clearly and effectively communicate scientific insights, strategic recommendations, and project progress through written reports, team discussions, and internal or external presentations. Qualifications • Ph.D. in Computational Chemistry, Structural Biology, Medicinal Chemistry, Theoretical Chemistry, or a related discipline, with 5+ years of industry experience in small molecule drug discovery., • Proven expertise in modern computer-aided drug discovery, including structure-based drug design, SAR analysis, and optimization of pharmacokinetic and physicochemical properties., • Demonstrated success in advancing small molecule programs from hit identification through lead optimization and development candidate nomination., • Experience collaborating in multidisciplinary teams and deep understanding of drug discovery principles, including ADME, pharmacology, and safety profiling, with the ability to synthesize complex datasets into clear, actionable design strategies., • Proficient in using industry-standard computational tools and capable of scripting to automate workflows and analyze large datasets., • Strong record of scientific communication, including authorship of publications, patent filings, and internal reports or presentations., • Strategic thinker with excellent problem-solving skills, scientific curiosity, and the ability to thrive in a fast-paced, collaborative environment., • Prior experience in immune-related indications or emerging therapeutic modalities such as targeted protein degradation or molecular glues is highly desirable., • Familiarity with AI/ML approaches that can meaningfully accelerate small molecule discovery, such as generative modeling, property prediction, structure-focused learning, and integration of multi-modal datasets, is a strong plus. Qualifications • Ph.D. in Immunology or a related field, with 8+ years of relevant experience in a biopharma or biotechnology setting; experience in early drug discovery is strongly preferred., • Deep expertise in immunology, with a strong understanding of immune signaling pathways, disease mechanisms, and immune modulation strategies., • Demonstrated success in designing and interpreting in vitro, in vivo, and ex vivo studies to support target validation, mechanism-of-action, and biomarker development., • Experience with a range of immunological assays (e.g., flow cytometry, cytokine profiling, cell co-culture systems) and disease-relevant models., • Proven track record of advancing immunology-focused programs through early discovery to development candidate nomination., • Strong leadership skills, with experience managing or guiding scientific teams and external collaborators., • Effective cross-functional collaborator with the ability to influence decision-making across disciplines including chemistry, translational science, and clinical development., • Excellent scientific communication skills, with experience presenting at internal governance meetings, external conferences, and contributing to peer-reviewed publications. Benefits and Pay The expected salary range for this position is $160,000 - $200,000. We encourage candidates of all levels to apply as there is sometimes flexibility on job level and responsibilities. Compensation and title will be based on a variety of factors, including experience, qualifications, and other job-related factors permitted by law. This position is also eligible for an annual bonus, equity, paid time off, and a benefits package. Benefits include company-subsidized medical, dental, and vision plans, and 401(K) matching. Employees may participate in benefit plans, subject to the terms and conditions of the applicable plans. Tupos Therapeutics is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. To all recruitment agencies: Tupos Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or to Tupos Therapeutics employees. Tupos is not responsible for any fees related to unsolicited resumes.

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. Staff Machine Learning Scientist.

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. Staff Machine Learning Scientist.

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.

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Experience with Big Data systems, machine learning, or AI-driven analytics. Collaborate cross-divisionally to align platform strategies and leverage shared learning across business units.

Job Opportunity At Synergisticit.SynergisticIT wants every candidate to know that the job market is challenging and to stand out, you need to have exceptional skills and technologies and that's where we come in to make sure you get the attention which you need.SynergisticIT understands the complex n

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.

Job Opportunity At Synergisticit.SynergisticIT wants every candidate to know that the job market is challenging and to stand out, you need to have exceptional skills and technologies and that's where we come in to make sure you get the attention which you need SynergisticIT understands the complex n

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.

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.

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.

Project Description Design, develop, and implement critical machine learning models that operate on our factory and warehouse environments.

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. Familiarity with at least one modern deep learning framework (Pytorch, Jax, Tensorflow, etc.

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

Shari's Cafe and Pies - 3360 Castro Valley Blvd [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.

Aerotek - JobID: JP-005586887 [Production Operator / Assembly Line Worker] As an Assembler at Aerotek, you'll: Perform assembling, loading, and unloading of parts; Be involved in a fast-paced environment and many overtime opportunities; Perform other duties as assigned.

Aerotek - JobID: JP-005597820 [Production Operator / Assembly Line Worker] As an Assembler at Aerotek, you'll: Perform assembling, loading, and unloading of parts; Be involved in a fast-paced environment and many overtime opportunities; Perform other duties as assigned.

PIAM Technical Project Manager.Please review the job description below and contact me ASAP if you are interested.Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).Key Requirements and Technolog

Location: Hayward, CA (On-site).EverWatt is a fast-growing energy efficiency company, founded in 2014, specializing in LED lighting retrofits.We partner with businesses to upgrade their lighting systems through PG&E's on-bill financing program, delivering financial savings and environmental bene

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