IT Technician at High-Growth IT Startup in SF Area (San Francisco, CA)

I'm seeking a qualified Mechanic to join our team. The ideal candidate will have a strong background in vehicle maintenance and repair, and be able to work independently and as part of a team. This position requires someone who is organized, efficient, and able to manage multiple projects simultaneously. The successful candidate will be responsible performing repairs and maintenance on vehicles. If you are interested in this position, please contact me at [408 705 4109] to discuss it further. I look forward to speaking with you!

This position is posted by Jobgether on behalf of Pindrop. We are currently looking for an IT Engineer in Atlanta. This is a unique opportunity to join a passionate and forward-thinking team at the intersection of technology and security. You will play a key role in integrating and optimizing IT systems that support internal operations, automation, and user experience. Working in a fast-paced environment, you’ll be exposed to cutting-edge platforms, cloud solutions, and tools that drive secure digital transformation. If you are energized by innovative problem-solving, automation, and supporting scalable infrastructure, this role is for you. Accountabilities: Design and integrate internal IT systems and SaaS platforms using both off-the-shelf and customized tools. Implement automation using Okta and related workflows to streamline provisioning and communications. Lead MDM engineering efforts using Jamf, Munki, and AutoPkg. Administer and support platforms including Google Workspaces, Slack, Office 365, and Duo. Provide technical support to internal users and optimize infrastructure using AWS and GCP. Support Active Directory and AWS Workspace environments. Analyze business needs to develop integration strategies that improve operations and user experience. Requirements 5+ years of experience in an IT support or engineering role. Extensive experience with SaaS product integrations in Okta, including custom tooling and HRIS connections. Proficiency in Okta Workflows, SaaS APIs, and automation. Hands-on experience with Google Workspace, Slack, Zoom, and macOS support. Familiarity with Windows environments and Active Directory is a plus. Basic scripting or Python experience. Strong troubleshooting and problem-solving skills. Effective communication, self-motivation, and a proactive mindset. Ability to learn new technologies quickly and adapt in a fast-changing environment. Benefits Competitive compensation with a base pay between 75,000 and 105,000 USD plus annual discretionary bonus. Equity for all employees. Unlimited Paid Time Off and 4 company-wide rest days annually. Generous health, dental, and vision plans, including one fully employer-paid plan. Best-in-class HSA contribution. Paid parental leave for all parents, plus a full year of diaper delivery. Life, disability, and identity protection benefits. Remote-first culture with monthly home office allowance. Company holidays, wellness programs, and Focus Thursdays. Annual learning and development budget. Choose your own Apple MacBook Pro. 401(k) plan with a competitive employer match. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Entry-Level Technicians – Material Handler Services at IT Facility Location: Franklin, MA Type: Full-time (Monday – Friday 2:45PM – 11:15PM) Start Date: Immediate openings available Join an exciting initiative supporting the construction of next-generation AI server racks. We're partnering with a major equipment manufacturer on a project that will span several months—with long-term growth opportunities ahead. What You'll Do You’ll gain hands-on experience, helping our engineers build and organize critical infrastructure. Starting with material handling tasks, you’ll grow your skills and complete training to prepare for potential future technical roles. Key Responsibilities Equipment Setup: Receive deliveries, unbox and organize large quantities of tech equipment, assist with lifting and staging Recycling & Waste Management: Break down packaging materials and ensure proper disposal or recycling Safety First: Follow all safety guidelines, including ESD protocols and company procedures Material Handling Support: Help move, stack, and set up equipment throughout the facility Training & Development: Complete online courses to boost your data center technical knowledge (provided by us) What You’ll Need Must-Haves: Ability to lift up to 50 lbs and remain on your feet for 8+ hours Sharp attention to detail and strong organizational skills Understanding of basic data center safety practices 1+ years of technical education or practical experience Preferred Qualifications: Experience in large-scale IT environments or data centers Familiarity with network tools and troubleshooting Work Environment Physical, fast-paced setting with tight spaces and heavy lifting Opportunity to learn the latest cooling technologies used in modern AI server rack assembly Pay Rate: $22/hour If you’re ready to kick off a hands-on tech career, apply now and become part of a team shaping the future of AI infrastructure.

OPPO US Research Center is seeking a full-time meticulous and innovative AI/LLM Test Engineer to join our cutting-edge AI team. In this critical role, you will evaluate the performance, reliability, and safety of Large Language Models (LLMs) in real-world product scenarios and test end-to-end generative AI solutions. Your work will directly shape how users experience AI-powered features by ensuring robustness, accuracy, and alignment with product goals. This is a unique opportunity to pioneer testing methodologies for next-generation AI systems at the forefront of technology. We are also seeking a Contractor based LLM Evaluation & QA Engineer to support the testing and validation of large language model (LLM)-powered applications. You will help implement test strategies, execute evaluation workflows, and assist in model performance validation across diverse generative AI use cases. This contract role is ideal for someone with hands-on experience in AI/ML evaluation, QA engineering, or data analysis who wants to deepen their exposure to generative AI systems. Requirements Full-time position requirement: Core Testing & Evaluation Design and execute performance tests for LLMs across diverse product use cases (e.g., chatbots, content generation etc.). Develop automated test frameworks to evaluate LLM outputs for accuracy, bias, safety, and coherence. Conduct end-to-end testing of integrated generative AI solutions, including APIs, data pipelines, and user interfaces. Optimization & Validation Collaborate with ML engineers to validate fine-tuned models and optimize prompts for target scenarios. Analyze model failures, edge cases, and adversarial inputs to identify risks and improvement areas. Benchmark LLM performance against industry standards and product-specific KPIs. Collaboration & Quality Assurance Partner with product, engineering, and research teams to define test requirements and acceptance criteria. Document defects, performance metrics, and test results to drive data-driven improvements. Advocate for AI ethics and safety through rigorous testing of fairness, bias mitigation, and content moderation. Innovation & Tooling Build scalable tools for synthetic test data generation, prompt variation testing, and automated evaluation workflows. Stay current with advancements in generative AI testing, including red-teaming techniques and evaluation frameworks (e.g., HELM, Dynabench). Propose novel testing strategies for emerging challenges (e.g., hallucinations, context drift). Basic Qualifications: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field, or equivalent practical experience. 1+ years of experience in software testing, data science, or ML validation, with exposure to AI/ML systems. Proficiency in Python and testing frameworks (e.g., PyTest, Selenium). Hands-on experience evaluating LLMs in production environments (e.g., GPT, Claude, Llama, Gemini). Strong analytical skills for dissecting model behavior, statistical performance, and failure modes. Familiarity with cloud platforms (GCP, Azure, or AWS) and MLOps tooling (e.g., MLflow, Weights & Biases). Experience with version control (Git) and agile development methodologies. Preferred Qualifications: Master’s degree in AI, Machine Learning, or a related field. Expertise in prompt engineering, LLM fine-tuning (e.g., LoRA, RLHF), or optimization techniques. Experience with automated evaluation tools (e.g., LangChain, TruLens) or LLM-specific test suites. Knowledge of data pipelines, SQL/NoSQL databases, and API testing (e.g., Postman). Background in statistics, quantitative analysis, or data visualization for test insights. Contributions to AI safety/ethics initiatives or open-source LLM evaluation projects. Experience testing mobile-integrated AI solutions (Android/iOS). Contractor position requirements: Testing & Evaluation Support: Execute pre-defined performance tests for LLMs across various tasks (e.g., summarization, Q&A, chatbot flows). Run scripted evaluations to assess outputs for factuality, coherence, and safety. Perform manual and automated test execution on APIs and LLM-integrated user interfaces. Prompt & model validation: Assist ML engineers in evaluating prompt variations and prompt-tuning outcomes. Log and analyze failure cases, anomalies, and edge cases based on provided guidelines. Collabration & Documentation Work with QA leads, product managers, and ML engineers to understand test goals and criteria. Report defects, compile evaluation summaries, and maintain testing logs. Tooling & Antomation: Use existing internal tools or frameworks to automate test runs and result collection. Contribute to prompt generation, input templating, or result tagging processes. Basic Qualifications: Bachelor's degree or equivalent work experience in a technical field (e.g., Computer Science, Engineering, Data Science). 6+ months experience in software QA, data labeling, LLM evaluation, or ML testing projects. Basic Python proficiency, especially for data processing and automation tasks. Familiarity with LLMs (e.g., GPT, Claude, Gemini) and prompt-based outputs. Comfortable working with tools like Jupyter, Postman, or testing dashboards. Detail-oriented with good documentation habits. Contractor Details: Duration: Long term Rate: Commensurate with experience Conversion Opportunity: High-performing contractors may be considered for full-time roles Benefits OPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. The US base salary range for this full-time position is $100,000-$200,000 + bonus + long term incentives benefits. Our salary ranges are determined by role, level, and location.

PLEASE FORWARD RESUME FOR CONSIDERATION Royalty Staffing is currently hiring Autonomous Vehicle Operator in San Francisco for our client who is a growing ride-share company. This is an excellent opportunity to be at the forefront of turning the company's vision into reality. We're looking for operators who are disciplined, team players, and believe in doing whatever it takes to accomplish the mission. Working as a VO will give you the opportunity to learn vehicle and personnel operations. You'll have a front-row seat to the operational complexities of realizing autonomous mobility and the chance to contribute to the future. We are currently hiring for multiple schedules, with bonus pay for weekend and night shifts with a start time of after 3pm (i.e. the weekend day shift offers an added 5% per hour and weekend night shift offers an added 10% per hour). Location – San Francisco, CA Work environment – Onsite/field Pay rate - 29.00 USD Per Hour Assignment duration – Ongoing contract SCHEDULE Hours: Day Shift: 5:45am-2:15pm, 6:45am-3:15pm, or 7:45am-4:15pm Night Shift: 1:45pm-10:15pm, 2:45pm-11:15pm, 3:45pm-12:15am, or 5:45pm-2am Days: Wednesday-Sunday Thursday-Monday Friday-Tuesday Saturday-Wednesday RESPONSIBILITIES Support vehicle operations. Drive 4-8 hours a day with a priority on safety. Conduct basic software operation tasks. Support missions through a wide variety of roles in and out of vehicles. Assist with documentation and metrics. Provide accurate written and oral feedback to engineering teams. Support vehicle maintenance and logistics. Conduct daily basic vehicle preventative maintenance checks, services, and repairs. Provide logistical support for the movement and storage of vehicles and equipment. Ensure the readiness and cleanliness of vehicles, equipment, and the workplace. Assist with paperwork and documentation related to vehicle readiness. REQUIREMENTS Basic vehicle knowledge to perform vehicle checks, ability to drive for long duration (6 hours in the car per day) Basic technology ability Excellent written and verbal communication skills Excellent driving history and no criminal history Proactive mindset and resourcefulness Bachelor's degree or equivalent technical experience is a plus BENEFITS Pre-tax commuter benefits Employer Subsidized healthcare benefits Flexible Spending Account for healthcare-related costs All costs for short- and long-term disability and life insurance 401k package

Description: Role: Scrum Master Work Dallas, TX JOB DESCRIPTION: The Scrum Master 1 coordinates the work of an Agile development team and oversees the software development lifecycle process and procedures. This role involves planning and facilitating scrum activities such as sprint planning, daily stand-ups, demos, board reviews, and retrospectives. The Scrum Master collaborates with clients or end users to understand business requirements and acts as a liaison between development teams and product management to ensure appropriate project processes are followed. Additionally, they identify and resolve impediments that may slow development or prevent the team from meeting established goals or milestones. Help ensure all team members have taken the appropriate step on stories so their team is a well-oiled machine. Remove Impediments, encourage the team to work only on task, and encourage Dev Manager to plan. Conduct Retrospectives, and schedule Backlog Grooming. •Plan and facilitate scrum activities, including sprint planning, daily stand-ups, demos, board reviews, and retrospectives. •Ensuring the breakdown of work. Force the breakdown of stories into substories, tasks, spikes, etc. •Help build the schedule for deliverables. (Development timeline, PMO would be ultimately responsible for the schedule). Resource mapping/loading, what is our capacity? (Project is what we need to do, team should be focused on who needs to do what). •Strategically identify if the schedule requires more resources than the team currently has. Resource balancing. •Collaborate with clients or end users to understand business requirements. •Act as a liaison between development teams and product management to ensure appropriate project processes are followed. •Identify and resolve impediments that may slow development or prevent the team from meeting established goals or milestones. •Work with team members on backlog and processes. •Understand and remove impediments to the scrum process. •Escalation of risk issues outside of the development group to other management levels. (if we fall behind during the sprint, we don’t just accept that, we try to push it and identify what can be done). Take what is going on and identify issues to the right groups that can do something about it. 3 Years of related experience engineering field. Scrum Master Certification (CSM) preferred. Strong understanding of Agile methodologies and Scrum framework. Proficiency in scrum tools (e.g. JIRA) Excellent communication, facilitation, and conflict resolution skills. Ability to work collaboratively with cross-functional teams. Basic project management knowledge and experience.