Freelance Software Developer (Rust) - AI Trainer

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai’s leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world’s top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in Nov. 2024. Responsibility The ML Infrastructure team at Pony.ai provides a set of tools to support and automate the lifecycle of the AI workflow, including model development, evaluation, optimization, deployment, and monitoring. As a Machine Learning Engineer in ML Runtime & Optimization, you will be developing technologies to accelerate the training and inferences of the AI models in autonomous driving systems. This includes: Identifying key applications for current and future autonomous driving problems and performing in-depth analysis and optimization to ensure the best possible performance on current and next-generation compute architectures. Collaborating closely with diverse groups in Pony.ai including both hardware and software to optimize and craft core parallel algorithms as well as to influence the next-generation compute platform architecture design and software infrastructure. Apply model optimization and efficient deep learning techniques to models and optimized ML operator libraries. Work across the entire ML framework/compiler stack (e.g.Torch, CUDA and TensorRT), and system-efficient deep learning models. Requirements BS/MS or Ph.D in computer science, electrical engineering or a related discipline. Strong programming skills in C/C++ or Python. Experience on model optimization, quantization or other efficient deep learning techniques Good understanding of hardware performance, regarding CPU or GPU execution model, threads, registers, cache, cost/performance trade-off, etc. Experience with profiling, benchmarking and validating performance for complex computing architectures. Experience in optimizing the utilization of compute resources, identifying and resolving compute and data flow bottlenecks. Strong communication skills and ability to work cross-functionally between software and hardware teams Preferred Qualifications: One or more of the following fields are preferred Experience with parallel programming, ideally CUDA, OpenCL or OpenACC. Experience in computer vision, machine learning and deep learning. Strong knowledge of software design, programming techniques and algorithms. Good knowledge of common deep learning frameworks and libraries. Deep knowledge on system performance, GPU optimization or ML compiler. Compensation and Benefits Base Salary Range: $140,000 - $250,000 Annually Compensation may vary outside of this range depending on many factors, including the candidate’s qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units. Also, we provide the following benefits to the eligible employees: Health Care Plan (Medical, Dental & Vision) Retirement Plan (Traditional and Roth 401k) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Free Food & Snacks

Well-established MSP is looking for a well-rounded candidate who can provide inside sales IT support for our customers and sales representatives. The ideal candidate should be well organized, detail oriented, and be able to work in a fast-paced environment, with a customer service mindset! Position Overview We’re seeking a detail-oriented and tech-savvy Inside Sales IT Support Specialist to join our team. This role bridges the gap between sales and technical support, helping configure solutions, build quotes, and support our sales reps with pre-sales technical expertise. Key Responsibilities • Collaborate with sales reps to develop accurate and competitive quotes for hardware, software, IT infrastructure, and services. • Configure technical solutions based on customer requirements, including computers, networking equipment, cloud services, and more. • Work closely with distributors, vendors, and manufacturers to obtain pricing, availability, and product information. • Provide pre-sales technical support, including product comparisons, compatibility checks, and solution recommendations. • Maintain up-to-date knowledge of IT products, services, and industry trends. • Assist in managing vendor relationships and negotiating pricing and terms. • Ensure all quotes and configurations meet company standards and customer expectations. Qualifications • 2+ years of experience in IT sales support, technical quoting, or related role. • Strong understanding of IT products and services (e.g., PCs, servers, networking, cloud solutions, software licensing). • Excellent communication and interpersonal skills. • Proficiency with quoting tools, CRM systems, and Microsoft Office Suite. • Ability to work independently and collaboratively in a fast-paced environment. • Experience working with vendors/distributors like Ingram Micro, TDSynnex, D&H, Dell, HP, Lenovo etc. is a plus. What We Offer • Competitive salary and performance-based bonuses. • Health, dental, and vision insurance. • Opportunities for professional growth and certification. • A collaborative and supportive team environment.

Position: Data Engineer III    Location: Redmond, WA 98052    Duration: 12 Months       Job Type: Contract         Work Type:  Onsite      Job Description:     Responsibilities  Build statistical models to identify patterns and trends in production testing data (telemetry, time-series) to generate correlation and predictions.  Develop an understanding of the manufacturing execution system with its multiple sources of data and relationship. Analyze the production system data and derive insights into current bottlenecks and areas of improvement, along with specific actionable recommendations  Collect, format and report periodic snapshots of the production and test data for consumption by other program managers and engineers.  Synthesize analysis and communicate insights and recommendations to various audiences  Work closely with technical program managers and engineers to provide data insights that help explain anecdotes from the manufacturing floor, and provide actionable resolution steps  Create templates and scripts to help scale and automate our ability to ingest, analyze and enable quick data reviews.  Required Skills & Experience  7+ years of related experience (data science, data engineering, data analysis, ML engineering)  4+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, Minitab, etc.) experience  2+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience  Very Strong development experience with notable BI reporting tools (Oracle BI Enterprise Edition (OBIEE)).  Should have experience developing complex and a variety of reports.  A good candidate has strong analytical skills and enjoys working with large complex data sets.  Experience applying theoretical models in an applied environment  A good candidate can partner with business owners directly to understand their requirements and provide data which can help them observe patterns and spot anomalies. Preferred  Experience in Python, Perl, or another scripting language  Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science  Experience in aerospace, manufacturing, test processes and/or test systems development  Typical Day in the Role:    Daily Schedule:   Accelerate test data collection and reviews to help reduce testing requirements across the OISL LRUs  Simplify and automate (with scripts and standard schemas) the continuous collection and formatting of such data  Develop dashboards and visualizations to help the test triage process  Develop a continuous monitoring and alarming framework that can help inform Engineers of areas needing a deeper analysis  Partner with the continuous improvement and OISL teams to accelerate the creation of analysis and tooling to establish manufacturing statistical process controls of key LRUs and test processes  Candidate Requirements:    REQUIRED SKILLS  Years of Experience: 5 years  Leadership Principle:   Customer Obsession, Learn and Be Curious, Dive Deep, Clear communication  Top 3 must-have hard skills  5+ years of related experience (data science, data engineering, data analysis, ML engineering)  scripting languages (e.g. Python  Statistical modeling data analysis tools   

Senior Data Analyst positions offered by Capital One, National Association (McLean, Virginia). Leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. Position reports to McLean, VA office. Telecommuting permitted in accordance with company policy, but must live within commuting distance of stated office. Please apply online at: https://capitalone.wd12.myworkdayjobs.com/Capital_One, Reference Job ID: R225859.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role We are looking for an experienced Python developer who enjoys building tools, environments, and infrastructure for working with LLM-based agents. You’ll help create sandboxes, task systems, and CI/CD pipelines to support testing and development of AI agents. You’ll also work closely with researchers and domain experts, helping them set up and use these tools effectively. Although every project is unique, you might typically: Sandboxes for running and testing AI agents safely Tools for writing tasks and test cases for agents CI/CD pipelines to run checks and evaluate agents Dev environments for experts creating these tasks Repo templates and scripts to help new contributors Interfaces for tracking task input and agent results Example Tasks How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. Requirements You have a Bachelor's or Master’s degree in Software Development, Computer Science, or other related fields.  You have 5+ years of experience writing Python code. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Benefits Why this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $50/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

WE’RE EXPANDING – JOIN OUR TEAM IN VISTA, CA! We are looking for: RELIABLE, COMMITTED, RESPONSIBLE team members. If you're reliable, committed, and responsible, you could be the perfect fit for our team! 📍 Location: 830 E Vista Way, Suite 220, Vista, CA 🔐 Flexible Schedules | Supportive Team | Growth Opportunities Apply today and be part of a company that values integrity, professionalism, and teamwork. 📧 TO APPLY - Please CLICK on the LINK below to fill out a job application/SEND resume. https://form.jotform.com/230445208019146 📞 For more info, text us at (760) 405-7917 If you're passionate about safety and security, we’d love to hear from you! Compensation: $17.75+ per Hour Employment type: full-time Hours: "Graveyard shift" Once you COMPLETE submitting your job application, please SEND me a TEXT at 760-405-7917 to let me know you have submitted your job application/resume. POSITION SUMMARY This Security Officer job patrols an assigned site on foot, providing for the security and safety of client property, assets, staff and personnel. This Security Officer also investigates disturbances and acts lawfully when defending employees and property. RESPONSIBILITIES Duties include but are not limited to the following: Essential function(s) • Act as a crime deterrent while maintaining a positive and professional demeanor at all times. • Patrolling and monitoring activities on the client’s premises regularly to discourage criminals and ensure the environment is safe and secure • Provide exceptional customer service while maintaining a safe and secure work environment. • Notify supervisors and on-site staff of any irregularities, suspicious activities, security breaches and/or safety hazards. • Conduct standardized reports that are prompt, detailed, professional and accurate relative to incident. • Remove wrongdoers or trespassers from the area. • Must embody and promote company values while operating as a highly visible deterrent on site. • Perform various job related duties as assigned. • Submit reports of daily surveillance activity and important occurrences. • Other duties as assigned by supervisor. QUALIFICATIONS AND EXPERIENCE • Must have knowledge of security protocols • Must be 18 years of age or older • Must possess a valid Security Guard License • Must have successfully completed all stated mandated training (AB2880) • Preferably have minimum 1 year of experience in security • Must be able to stand for long periods of time • Must possess excellent verbal and written communication skills • Must project a professional appearance • Must have a reliable form of transportation CORE COMPETENCIES Preparedness Integrity Honesty Rationality Flexibility Time Management Communication Accuracy Team Work EDUCATION AND CERTIFICATIONS • High School diploma or equivalent PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Ability to sit, stand and walk, for long periods of time and may involve climbing stairs and walking up inclines and on uneven terrain. • Frequent lifting and/or moving up to 10 pounds and occasional lifting and/or moving up to 25 pounds ENVIRONMENT While performing this job, the employee is exposed to weather conditions prevalent at the time. This may include warm, hot, or cold temperatures, and being outdoors during the evening and overnight. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. WORK SCHEDULE As a non-exempt hourly employee, the employee shall work a designated schedule as assigned by management. Scheduling is subject to change at any given notice. The hours worked vary and can include graveyard/swing shifts. Working on weekends and holidays is required for this position. Employee shall not work over 8 hours per day or 40 hours per week without prior authorization from management but if so, will earn overtime for any work performed in excess of 8 hours per day or 40 hours per week. Employee must also follow company’s policies regarding required meal breaks. BENEFITS AND COMPENSATION • Competitive compensation with overtime opportunities; previous security experience preferred • Comprehensive benefits package (If hired Full-time or works at least 30hrs. per week) • CA paid sick leave PPO #121793