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Rubbercraft is seeking a Manufacturing Engineer 1 for New Product Introduction (NPI). The Manufacturing Engineer will develop, optimize, and transfer new products to production for aerospace components and assemblies, ensuring safety, quality, delivery, and cost targets are met. This role blends hands-on shop-floor problem solving with structured Lean deployment and end-to-end project management. You will collaborate with Design Engineering, Quality, Supply Chain, and Operations to industrialize new products, reduce waste, and improve throughput. Job Responsibilities: \n • Process Development & Optimization\n, • Design and document manufacturing processes, routings, and work instructions for assembly and sub-assemblies for all value streams with an emphasis on extrusions.\n, • Design and develop new extrusion dies for complex profiles and varying rubber material properties.\n, • Apply Lean tools (VSM, SMED, 5S, standard work, visual management, Kaizen) to eliminate waste and improve flow, cycle time, and WIP.\n\n\n, • \nProject Management\n, • Manage new products from order entry to final transfer to production and/or delivery to customer.\n, • Own scope, schedule, budget, and risk for continuous improvement and capital projects (e.g., new equipment, layout changes, automation).\n, • Build project plans, manage stakeholders, lead cross-functional teams, and report progress via standard PM dashboards.\n, • Develop business cases and ROI for process changes and capital investments.\n\n\n, • \nTechnical Enablement\n, • Create and maintain work instructions, Standard Operating Procedures (SOPs), and operational reports to support company objectives and ensure process consistency.\n, • Support tooling/fixture design and procurement; coordinate with vendors and maintenance for qualification and readiness.\n, • Coordinate with production on test schedules, operator training, and project handoffs.\n\n\n, • \nShop-Floor Support\n, • Provide daily NPI support to resolve constraints and technical issues. This may include working with Sales, Supply Chain, Operations and Quality as needed.\n, • Coach operators/technicians in standard work, quality checks, and problem-solving.\n, • Monitor key process indicators (scrap, rework, OEE, FPY) and drive structured improvement.\n\n\n\n Job Specifications: Education: Bachelor's degree in engineering required Years' Experience: 1 years of relevant experience required, experience with rubber industry Preferred Qualifications \n • \nLean/Six Sigma certification (Green Belt or higher) or formal Lean practitioner credentials.\n, • Experience with MRP/ERP (Great Plains) \n, • Data analysis and visualization skills (Excel/Power Query/Power BI; basic Python is a plus).\n\n Skills: \n • Knowledge of rubber manufacturing principles and processes \n, • Demonstrated expertise with complex manufacturing engineering solutions\n, • Thorough knowledge of manufacturing while analyzing, evaluating and determining solutions to a variety of problems\n, • Proficient in applying Lean Manufacturing, Six Sigma or other continuous improvement practices\n, • Ability to improve products or services by applying professional and business knowledge \n, • Able to solve complex problems; makes decisions based on the analysis of multiple sources of information\n, • Effective interpersonal, verbal, and written communication skills to drive tasks to completion\n, • CAD experience to design fixtures and jigs\n\n Benefits: At RCC, we recognize how important your career and benefits are to you and your family. We offer a full suite of benefits including medical, dental, vision, short and long-term disability coverage, accident insurance, critical illness insurance, basic and supplemental life insurance, employee assistance plan, retirement savings and matching, tuition reimbursement and other developmental opportunities. We are committed to supporting the way you live and work. RCC is an Equal Opportunity Employer Veterans/Disabled - Affirmative Action Employer. This position requires the use of information which is subject to the International Traffic in Arms Regulations (ITAR). All applicants must be U.S. persons within the meaning of ITAR. ITAR defines a U.S. person as a U.S. Citizen, U.S. Permanent Resident (i.e. 'Green Card Holder'), Political Asylee, or Refugee (Actual placement within the salary range is dependent on multiple factors, including but not limited to skills, education, experience and location)

Job DescriptionThis Jobot Job is hosted by: Christina Finster Are you a fit? Easy Apply now by clicking the "Apply Now" buttonand sending us your resume. Salary: $140,000 - $199,000 per year A bit about us: Our client is dedicated to one mission: connecting those who keep us safe. We do so by delivering the most advanced Mobile Ad-hoc Network (MANET) radios powered by our custom and ever-evolving Mobile-Networked MIMO waveform. Why join us? • 100% Match towards 401k!, • 20 Days of PTO + Holidays closure for Christmas Day through New Year's Day!, • Health, Dental & Vision Plans Employee Premiums Covered 100%!, • Hybrid Work Schedules and Flexible Start Times for Applicable Positions!, • Cutting Edge Wireless Technology company where what you do makes a difference. Job Details ROLE AND RESPONSIBILITIES Design and implement Linux-based security architectures for embedded systems, focusing on secure boot, and kernel hardening. Develop and enforce Linux security features, including iptables, netfilter, and auditd for intrusion detection and prevention. Conduct security assessments and audits of Linux-based embedded systems to identify and mitigate vulnerabilities. Integrate Linux security best practices into the development lifecycle (DevSecOps), emphasizing secure coding and configuration management. Manage vulnerabilities in Linux-based embedded systems, including timely patching and kernel updates. Train teams on Linux security practices, including privilege management, file system permissions, and container security. Participate in incident response planning and execution for Linux-based embedded systems. Implement Linux-native encryption and authentication mechanisms (e.g., dm-crypt, OpenSSL, PAM) for secure communications. REQUIRED QUALIFICATIONS Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, or related field (e.g., Mathematics, Computer Engineering). Minimum 5 years in cybersecurity, with at least 2 years in defensive security roles focused on Linux-based systems. Expertise in Linux network security, secure coding, or embedded systems security. Coding/scripting in C/C++, Python, Bash, or assembly for Linux environments. Familiarity with Linux security tools like Auditd, Lynis, or vulnerability scanners. Security Clearance: Active U.S. Government SECRET clearance or the ability to obtain one within 12 months of hire. NOTE - Must be a U.S. Person (U.S. Citizen, or U.S. Permanent Resident) due to clients under U.S. federal contracts PREFERRED KNOWLEDGE, SKILLS AND ABILITIES Master’s degree in Cybersecurity, Computer Science, Information Technology, or related field. One or more of the following certifications: CISSP, CISM, GIAC Security Expert (GSE), CompTIA Security+, or Linux-specific (e.g., LFCS, RHCE). Hands-on experience implementing Linux security controls, such as SELinux, AppArmor, or iptables, and conducting security assessments. Proficiency in Linux security frameworks, such as CIS Benchmarks, NIST SP 800-53, or STIGs. Broad experience with Linux secure development lifecycle (SDL) practices. Knowledge of Linux threat intelligence and threat modeling. Familiarity with Linux container security (e.g., Docker, Podman) and cloud environments. Strong communication skills to explain Linux security concepts to technical and non-technical audiences. Collaborative teamwork with cross-functional groups. Experience securing resource-constrained Linux-based embedded systems. Understanding of real-time Linux systems and their security implications. Knowledge of Linux hardware security integration, such as TPM or Secure Enclave. Demonstrated experience designing secure Linux communication systems with encryption, authentication, and key management. Familiarity with mobile ad-hoc networking security on Linux platforms. WORKING CONDITIONS & PHYSICAL REQUIREMENTS Office environment. While performing the duties of this job, the employee is required to do the following: Lift equipment up to 20 lbs. for the set-up of demonstrations and testing. Perform bending and reaching movements to place items on lower and higher shelves. Walking/Moving in the labs. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policyCompany DescriptionJobot is on a mission to connect good people with good jobs. By combining AI-powered technology with the expertise of Jobot Pros, our experienced recruiters, we help you find career opportunities that align with your goals and values. Founded in 2018 and employee-owned since 2024, Jobot is committed to fostering a culture of kindness, respect, innovation, and connection. As an industry leader, we’ve been recognized as a top workplace by Forbes, Fortune, USA Today, and Staffing Industry Analysts (SIA). Ready to find a good job? Create your profile today at Jobot.com.

Mercor is hiring experienced Python Engineers to support a variety of high-impact research collaborations with leading AI labs. Freelancers will help improve AI systems through work extending coding benchmarks that reflect real-world development across diverse languages and domains. This is a unique opportunity to apply your engineering expertise toward shaping the next generation of intelligent systems. Key Responsibilities - Develop and validate coding benchmarks in Python by curating issues, solutions, and test suites from real-world repositories - Ensure benchmark tasks include comprehensive unit and integration tests for solution verification - Maintain consistency and scalability of benchmark task distribution - Provide structured feedback on solution quality and clarity - Debug, optimize, and document benchmark code for reliability and reproducibility Ideal Qualifications - 3–10 years of experience as a backend software engineer, ML engineer, or applied data scientist - Degree in Software Engineering, Computer Science, or a related field - Strong proficiency in Python - Experience with debugging, testing, and validating code - Comfortable with technical writing and attention to detail Project Timeline - Start Date: Immediate - Duration: 1 month - Commitment: Part-time (15–20 hours/week) - Schedule: Fully remote and asynchronous – flexible working hours Compensation & Contract - $80 per hour plus lucrative bonus per approved task (1 task takes approximately 1 hour to complete) - Median average pay inclusive of bonuses is $200/hr - Independent contractor - Daily payment via Stripe Connect Application & Onboarding Process - Upload your resume - AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role - Brief assessment testing real-world coding ability, technical depth, and debugging approach - Follow-up communication within a few days with next steps and onboarding details About Mercor Mercor is a San Francisco-based company specializing in connecting elite professionals with cutting-edge AI initiatives. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across engineering, research, and creative fields have partnered with Mercor on frontier projects shaping the future of AI. Apply today and leverage your software engineering expertise to help build the future of AI-driven systems!

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. As a Machine Learning Engineer at Metropolis, you will accelerate recognition commerce through data innovation. You will be a key leader in Engineering, responsible for designing and building the robust generative data engine and intelligent algorithms that fuel our ML models. Your mission is to bridge data and models through automation, creating the scalable foundation that underpins the predictive, personalized experiences defining the future of the built world. • Work with the machine learning team to perform state-of-the-art research, train, and optimize machine learning algorithms, • Design, implement, and maintain active learning algorithms and generative vision models to ensure cost efficient data sampling and learning, • Maintain and revisit innovative methodologies to curate high quality data and annotations, • Design, implement, and maintain the machine learning data pipelines and infrastructure, • Work with technologies like AWS, SQL/NoSQL databases, Kafka, Airflow, and NVIDIA Triton, ensuring efficient and effective use of these tools, • Collaborate with other Engineering and Product teams to define requirements and facilitate the smooth deployment of software into production, • Play a vital role in the entire development lifecycle, from concept and requirement identification to implementation, • Implement best practices in automation, testing, and deployment to foster rapid feature/model development and release, • Foster a culture that views bugs and production issues as opportunities for improvement, • Contribute to the hiring and cultural development within Metropolis Engineering, • Ensure high availability and scalability of Machine Learning systems, • Collaborate with partners to integrate their products seamlessly into the Metropolis platform, • MS or PhD in Computer Science, Engineering, or a related field, or equivalent work experience, • 3+ years of experience in machine learning and software engineering, with expertise in computer vision and multi-modal models, • Proficiency in Python and Machine Learning frameworks (PyTorch/TensorFlow/ONNX/TensorRT), • Strong experience with cloud services, preferably AWS, • Familiarity with Machine Learning model serving infrastructure and best practices, • Knowledge of transactional and analytical database technologies, • Strong understanding of the agile development process and CI/CD pipelines and tools (e.g., Github Actions, Jenkins), • Excellent communication skills, capable of presenting complex technical information clearly, • Experience in high-growth, innovative environments When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 USD to $180,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-nM1 #LI-Onsite Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Test Engineer II (Contract) Location:Torrance, CA area (90501). Position Overview: As a Test Engineer, your primary responsibility will be to ensure the quality and reliability of various systems, components, and equipment used in defense and aerospace applications. You will be responsible for designing, developing, and implementing test plans, procedures, and strategies to evaluate the performance, functionality, and compliance of these systems. Your work will contribute to the overall safety, efficiency, and effectiveness of defense and aerospace technologies. ***TOP SKILLS NEEDED FOR THIS ROLE... *Schematic/Blueprint reading and understanding documentation writing procedures such as ATPs. *Experience with software coding such as C++, C and/or Python, etc. *Familiarity with MIL-STDs for qualification testing. *Experience with performing verification testing. Key Responsibilities: Test Planning and Strategy: Collaborate with cross-functional teams, including design engineers and project managers, to understand the requirements and specifications of defense and aerospace systems. Develop comprehensive test plans and strategies to validate system performance, reliability, and compliance with industry standards and customer requirements. Identify and prioritize critical test cases and define test objectives and success criteria. Test Development and Execution: Design and develop test procedures, protocols, and scripts to execute functional, integration, performance, and stress testing of defense and aerospace systems. Set up and configure test environments, equipment, and instrumentation required for accurate data collection and analysis. Execute tests, record and analyze test results, and document any issues or anomalies encountered during testing. Identify and troubleshoot system defects or failures, working closely with the design and development teams to investigate and resolve issues. Test Documentation and Reporting: Create detailed test reports, including test procedures, results, and recommendations for improvements or modifications to the systems. Maintain accurate and organized documentation of test plans, procedures, and test results for future reference and regulatory compliance. Test Automation and Continuous Improvement: Identify opportunities for test automation and develop automated test scripts and frameworks to streamline testing processes and increase efficiency. Continuously evaluate and improve test methodologies, tools, and processes to enhance test coverage, reliability, and effectiveness. Compliance and Safety: Ensure adherence to relevant safety regulations, industry standards, and quality assurance processes throughout the testing lifecycle. Collaborate with regulatory agencies, customers, and internal stakeholders to address compliance requirements and resolve any compliance-related issues. Qualifications and Skills: *Bachelor's degree in Electrical Engineering, Computer Engineering, Aerospace Engineering, or a related field. A master's degree is a plus *Solid understanding of test methodologies, test development, and test execution. *Experience with test equipment, tools, and software commonly used in defense and aerospace testing (e.g., oscilloscopes, spectrum analyzers, environmental chambers). *Knowledge of defense and aerospace industry standards and regulations (e.g., MIL-STD, DO-178C, DO-254, AS9100). *Proficiency in programming languages (such as Python, C/C++) and experience with test automation frameworks preferred. *Strong analytical and problem-solving skills with attention to detail. *Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams. *Ability to work in a fast-paced environment, manage multiple tasks, and meet project deadlines. *Prior experience in the defense and aerospace industry is highly desirable. Pay rate range: $36-$46/hour.

Skills and/or Experience Needed: *KeySkills: FPGA PROGRAMMING, PYTHON, C++, VIVADO, IDE, LINUX MS or BS in Electrical Engineering, Computer Engineering, or related field, or related engineering field 5+ years of professional experience in FPGA development, specifically in signal processing and high-

Mercor is seeking Material Science PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Material Science from a top US university. - Have experience coding in Python, MATLAB for projects or research. - Have field-specific experience in Semiconductor Materials, Molecular Modeling - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

1\. Role Overview Mercor is seeking computational biology experts to contribute to a unique project with a top-tier AI research organization. This short-term initiative challenges AI models with hidden-answer “mystery problems” grounded in real biological data. Experts will design, validate, and anonymize complex datasets to evaluate model reasoning capabilities, not lookup accuracy. This is a compelling opportunity for data-driven life scientists to shape next-generation AI evaluation benchmarks. 2\. Key Responsibilities • Design biologically grounded problems with a single correct answer and ≥20 plausible distractors • Identify, download, and preprocess datasets from public repositories (e.g., GEO, SRA, NCBI) • Subsample and anonymize datasets to prevent metadata-based inference • Independently validate solutions through custom analysis pipelines and visualizations • Operate within technical constraints (e.g., file size, task time limits) 3\. Ideal Qualifications • Hands-on experience analyzing sequencing or omics datasets (e.g., RNA-seq, WGS, mass spec) • Proficient with bioinformatics tools and formats (e.g., BLAST, samtools, DESeq2, FASTA/FASTQ/BAM) • Comfortable coding in Python, R, or bash, and working in Jupyter notebooks • Understanding of biological experiment design and lab-to-data nuances (e.g., batch effects) • Advanced degree (MS, PhD) or research background in computational biology, genomics, or bioinformatics 4\. More About the Opportunity • Remote and asynchronous — set your own schedule • Expected commitment: 15–20 hours/week • Project duration: ~1 month • Potential for additional projects based on performance and interest 5\. Compensation & Contract Terms • $65–85/hour depending on experience and geography • Paid weekly via Stripe Connect • Structured as a freelance contract — independent contractor status 6\. Application Process • Submit your resume to get started • Qualified applicants will complete a short form assessing technical experience • Follow-up steps may include a sample task or review call • Responses typically within 3–5 business days 7\. About Mercor • Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. • Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. • Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.

Programming experience in Python, C++, or similar languages.

You will leverage your expertise in Python, PyTorch, and Scikit-learn, and your strong software engineering background to establish scalable ML infrastructure and best practices. You’ll collaborate closely with data scientists, software engineers, and product managers to translate product requirem

The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. The Role We are seeking a Senior Machine Learning Engineer to play a key role to join our growing team. As a key member of the Advanced Technologies team, you will play a critical role in designing, developing, and deploying state-of-the-art computer vision and recommendation models that power our core products and solutions. Your work will involve tackling challenging problems in object detection, tracking, OCR, video analytics, and multi-modal systems. This role involves a unique blend of technical expertise in data and machine learning, innovative thinking, and a passion for data-driven solutions. Responsibilities • Design, develop, and deploy advanced computer vision models for real-world applications, including object detection, itracking, OCR, image search, and scene understanding., • Build and optimize deep learning models, ensuring high accuracy, performance, and scalability for deployment in production environments., • Explore and integrate multi-modal approaches, leveraging visual, textual, and other data modalities for robust solutions., • Collaborate with cross-functional teams, including data engineers and software engineers to deliver end-to-end solutions., • Lead the design and implementation of scalable pipelines for data processing, model training, and model deployment., • Optimize models for performance on various hardware platforms, including CPUs, GPUs, and edge devices., • Conduct thorough experimentation and A/B testing to validate model effectiveness and ensure alignment with business objectives., • Mentor junior team members, providing technical guidance and fostering professional growth., • Write clean, efficient, and maintainable code while adhering to best practices in software engineering and machine learning. Qualifications • MS or PhD (preferred) in Computer Science, Engineering, or a related field, or equivalent work experience., • 5+ years of hands-on experience in machine learning and computer vision, with a strong track record of deploying models into production., • Proficiency in Python and ML frameworks (PyTorch/TensorFlow/ONNX/TensorRT). Experience with C++ is a plus., • Strong experience with model optimization (e.g., quantization, pruning) and deployment on various platforms (cloud, edge, or mobile)., • Familiarity with cloud platforms (AWS, GCP, or Azure), containerization (Docker), and orchestration (ECS, Kubernetes), • Proven experience in building and maintaining data pipelines (e.g., Airflow)., • Strong understanding of the agile development process and CI/CD pipelines and tools (e.g., Github Actions, Jenkins)., • Excellent communication skills, capable of presenting complex technical information clearly., • Experience in high-growth, innovative environments is a plus., • Publications in top-tier conferences (e.g., CVPR, ICCV, NeurIPS) are a strong plus. When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 to $200,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-NM1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

CompanyMachina Labs is a smart manufacturing company backed by major investors in AI and Deep Tech (Innovation Endeavors, Nvidia NVentures, Lockheed Martin Ventures), founded in 2019 and based in Los Angeles, CA. We are on a mission to build the factory of the future through the development of modular manufacturing solutions that allow our customers to rapidly produce and iterate on their designs using our proprietary robotic sheet metal forming platform. Using our first-of-its-kind software and robotics solution, we are delivering unseen innovation to industries such as aerospace, automotive, and space exploration. About the RoleWe are looking for an experienced Senior Backend Engineer to join our exciting journey as part of our growing software engineering team. In this position you will work closely with technical leadership and a multi-disciplinary team of extremely talented engineers to deliver solutions found nowhere else. You'll help design and deliver backend infrastructure for real-time automation, cloud orchestration, and production-scale robotics manufacturing systems. At the baseline, you are a great team player, passionate about technology and software development, and find the idea of working with giant robots exciting. • Design and implement scalable backend services using TypeScript, ___ and Python, • Partner with the Head of Software and other engineers to design and build our software architecture, • Own and maintain cloud-deployed systems on Azure government cloud, • Build and optimize event-driven systems, working with tools like Kafka, MongoDB, and message queues (RabbitMQ, ZeroMQ, etc.), • Contribute to our CI/CD pipelines and support continuous delivery across environments, • Collaborate cross-functionally with other engineers (e.g., DevOps, Frontend, Robotics, Mechanical, etc.) and product team members, • Monitor, instrument, and optimize backend systems for observability and performance, • Contribute to technical decision-making, team culture, and long-term scalability, • 5+ years of experience as a professional software engineer, ideally at fast-paced startups, • Strong command of JavaScript/TypeScript, and Python, • Experience deploying and managing services in cloud environments (Azure preferred, but AWS, or GCP are acceptable), • Deep experience with system design, backend architecture, and distributed systems, • Familiarity with databases (especially no SQL such as MongoDB), messaging systems, and containerized services, • CI/CD experience, • Experience with observability and monitoring platforms (logging, metrics and alerting systems), • Comfortable navigating ambiguity, thriving in ownership-heavy environments, • Bachelor’s in computer science or equivalent practical experience, • Experience with Azure Cloud Services, • Comfort with infrastructure as code, • Exposure to tools like Kafka, Mosquitto, gRPC, GraphQL

We are seeking a versatile Backend Software Engineer to join our team. This role is central to our mission, focusing on building robust ground segment software for space communications. You will play a pivotal role in developing and deploying Python-based services that form the backbone of our global control and data plane systems, enabling seamless satellite communications worldwide for the entire space industry. You are preferably someone who has deployed and been heavily responsible for microservices in the cloud. You are no stranger to instrumenting services with observability. Design patterns involving message queues, APIs, and complex networking setups. • Architect and own scalable microservices that interface with RF systems, mission control software, and third-party ground station APIs., • Develop containerized applications and deploy them using Docker to both cloud and edge environments, including ground stations and customer deployments., • Integrate observability and reliability into every service - metrics, structured logging, distributed tracing, and alerting., • Contribute to system design reviews, architecture discussions, and documentation of interfaces and operational flows., • Monitor and optimize system performance and resource utilization across cloud and edge environments to ensure high availability, low latency, and fault tolerance., • Participate in on-call rotations, perform root-cause analysis of incidents, and drive continuous improvements in reliability and deployment practices., • Ensure software security and compliance through rigorous testing, code reviews, and secure deployment practices., • Proficiency in Python with a strong understanding of best practices, design patterns, and modern Python frameworks., • Experience with Docker for containerization and deployment in both cloud and edge environments., • Experience with Kubernetes., • Experience with centralized logging, alerting, metrics, and tracing infrastructure., • Familiarity with cloud platforms (e.g., AWS) and infrastructure-as-code tools., • Strong debugging and problem-solving skills in Linux-based environments., • Knowledge of network communication protocols and distributed systems., • Note: none of these required at all, but these topics will come up in day-to-day work, • Experience with GNURadio., • Experience with digital signal processing (DSP), • Experience with satellite networking.$110,000 - $180,000 a year

Summary: The Clinical Research Informatician is a bridge between clinicians/researchers and data. They blend their knowledge of clinical workflow, terminology, and practices with an understanding of health information technology to advance clinical and translational research towards improved patient care. The Clinical Informatician will play an integral role focused on creating, testing, implementing, and maintaining applications and data for clinical areas. Responsibilities include acting as a liaison between clinicians/researchers and data stewards, interfacing with stakeholders on informatics software development, maintenance, and operations, and creating streamlined workflows for the exploitation of healthcare data. Minimum Education • Bachelor’s Degree In Health Information Management or Health Informatics OR B.S. in clinical field (nursing, etc.) and certification in Health Informatics OR B.S. in informatics, computer science, statistics, biomedical engineering artificial intelligence AND certification in Health Informatics required., • Master’s Degree preferred. Minimum Experience/Accountabilities • Minimum 4 years’ experience in clinical research, • Minimum 4 years’ experience in clinical informatics, • Minimum 4 years’ experience in information technology and/or in academic healthcare setting, • Experience with clinical operations, Health Information Management, or care management., • Experience with clinical definitions, ontologies, dictionaries, and taxonomies required., • Experience with clinical standards and coding., • Experience with KPIs as they relate to clinical areas., • Experience implementing new technologies in clinical areas., • General clinical experience accepted, including experience as an MD, NP, PA, or RN., • Experience serving as a liaison between clinicians/researchers and IT., • Experience interpreting healthcare data using self-service tools or programming languages such as SQL and Python. Accountabilities: • Collect, organize, curate, and document healthcare information within the data warehouse., • Apply experience with clinical information and workflows to the development of informatics tools, applications, analyses, and procedures., • Develop, modify, test, and implement applications and algorithms for the collection, organization, and analysis of healthcare data., • Assist in the development of presentations, scientific publications, and grant proposals., • Apply insights gained from research to improve patient care or healthcare operations., • Ability to interact directly with and interpret healthcare data using self-service tools or coding languages, such as SQL and Python, • Ability to liaison between clinical stakeholders and Enterprise Data & AI technical team members, • Expertise in analyzing and optimizing clinical workflows, leveraging IT to enhance efficiency, accuracy, and patient outcomes through targeted interventions and system improvements., • Collaborate with software vendors and IT service providers to ensure that their products and services are tailored to meet the unique operational needs of the healthcare facility, optimizing performance and compliance., • Other duties as assigned.

Clinical Research Informatician (HDIP) Salary Range: $120k to $146k Summary: The Clinical Research Informatician is a bridge between clinicians/researchers and data. They blend their knowledge of clinical workflow, terminology, and practices with an understanding of health information technology to advance clinical and translational research towards improved patient care. The Clinical Informatician will play an integral role focused on creating, testing, implementing, and maintaining applications and data for clinical areas. Responsibilities include acting as a liaison between clinicians/researchers and data stewards, interfacing with stakeholders on informatics software development, maintenance, and operations, and creating streamlined workflows for the exploitation of healthcare data. Minimum Education • Bachelor’s Degree In Health Information Management or Health Informatics OR B.S. in clinical field (nursing, etc.) and certification in Health Informatics OR B.S. in informatics, computer science, statistics, biomedical engineering artificial intelligence AND certification in Health Informatics. Required, • Master’s Degree preferred. All candidate submissions must include answers to the following questions (no more than 5 sentences for each response): 1. Give a description of your experience in working within EHR to optimize clinical user experience., 2. What clinical terminology systems are you most familiar with, and how have you used them in data mapping or standardization?, 3. Provide an example of a complex problem you solved in the realm of clinical informatics. What strategies did you use to identify and address the root causes? Minimum Experience/Accountabilities • Minimum 4 years’ experience in clinical research, • Minimum 4 years’ experience in clinical informatics, • Minimum 4 years’ experience in information technology and/or in academic healthcare setting, • Experience with clinical operations, Health Information Management, or care management., • Experience with clinical definitions, ontologies, dictionaries, and taxonomies required., • Experience with clinical standards and coding., • Experience with KPIs as they relate to clinical areas., • Experience implementing new technologies in clinical areas., • General clinical experience accepted, including experience as an MD, NP, PA, or RN., • Experience serving as a liaison between clinicians/researchers and IT., • Experience interpreting healthcare data using self-service tools or programming languages such as SQL and Python. Accountabilities: • Collect, organize, curate, and document healthcare information within the data warehouse., • Apply experience with clinical information and workflows to the development of informatics tools, applications, analyses, and procedures., • Develop, modify, test, and implement applications and algorithms for the collection, organization, and analysis of healthcare data., • Assist in the development of presentations, scientific publications, and grant proposals., • Apply insights gained from research to improve patient care or healthcare operations., • Ability to interact directly with and interpret healthcare data using self-service tools or coding languages, such as SQL and Python, • Ability to liaison between clinical stakeholders and Enterprise Data & AI technical team members, • Expertise in analyzing and optimizing clinical workflows, leveraging IT to enhance efficiency, accuracy, and patient outcomes through targeted interventions and system improvements., • Collaborate with software vendors and IT service providers to ensure that their products and services are tailored to meet the unique operational needs of the healthcare facility, optimizing performance and compliance., • Other duties as assigned.

Engineering Manager (Santa Monica, CA | On-site) • Be at the forefront of a revolution in real estate and built environment decision-making., • Work alongside a visionary founding team with experience across AI, real estate, and startups., • A chance to reshape the future of an industry worth trillions. About Diald AI Diald AI is transforming how commercial real estate decisions are made. Our AI-powered platform equips investors, developers, and lenders with next-generation insights—replacing gut feel and outdated methods with precision, clarity, and speed. We’re on a mission to revolutionize an age-old industry, and we’re looking for a seasoned real estate professional to help us lead the charge. Cultural Fit At Diald AI, we are building a company for people who love the work — not just the idea of the work. Our culture rewards curiosity, intensity, and a genuine desire to push boundaries in an industry long overdue for change. We operate with minimal hierarchy, fast decision cycles, and a deep respect for those who take ownership and move with purpose. We’re looking for someone who finds joy in the grind: a builder who works hard not because they’re told to, but because solving hard problems is intrinsically motivating. Someone who is energized, not intimidated, by fast pace, ambiguity, and the responsibility that comes with true autonomy. Selflessness is core to who we are. Team and company come before ego. Flexibility is expected — roles evolve quickly, and the right person adapts even faster. If you prefer stability, predictability, and playing a narrow role in a large machine, this is likely not the right fit. Corporate “cogs” struggle here. But for the right leader — someone who sees work as a craft, not a chore — Diald AI offers something rare: the opportunity to build a category-defining product that meaningfully reshapes the built world. We move quickly, learn continuously, take calculated risks, and support each other fiercely. If the idea of staying up late because you want to finish something — not because you have to — feels familiar, you’ll thrive here. Job Responsibilities • Lead technology strategy for real estate AI startup, architecting enterprise-grade, multi-tenant platforms using AI-driven analysis of qualitative information on real estate properties, • Oversee the full SaaS lifecycle—from MVP to scaled production—leveraging Python for data processing/ML models and React/Vue.js for responsive dashboards, and white-label client portals; ensure SOC 2 compliance., • Partner with CEO, sales, and customer success to prioritize roadmaps using enterprise KPIs (ARR, churn, NPS), balancing rapid feature delivery in Python/JavaScript stacks with technical debt reduction., • Optimize cloud costs on GCP and negotiate proptech vendor contracts. Required Qualifications • Must have deep hands-on expertise writing code in Python for backend services and modern JavaScript frameworks (React, Vue.js) for frontend., • Must have 5+ years of enterprise SaaS leadership., • Must have experience managing a 10–30 person engineering team with at least 5 years of direct people management experience; recruiting Python and JavaScript specialists proficient in microservices. Preferred Qualifications • Experience in distributed LLM prompt and context chaining across several approach vectors and millions of input parameters., • Experience in fast moving software startup environments with high ambiguity, shifting priorities and objectives, • Experience in real estate or fintech SaaS product universe with knowledge of our customer base., • Experience designing and scaling RAG pipelines, multi-modal data ingestion flows, vector search systems, and LLM context-management architectures., • Experience building agentic AI infrastructure, including multi-step reasoning agents, tool integration, memory systems, and orchestration frameworks.

We are seeking a highly skilled Senior Spatial Computing Developer to drive the integration of NVIDIA Omniverse content into the Apple Vision Pro through advanced streaming technologies. This role serves as the critical connector enabling high-fidelity visualization of Omniverse scenes on headset devices. You will develop native Vision Pro applications, integrate streaming pipelines, and work seamlessly across macOS, Windows, and visionOS environments—often simultaneously. This is a hands-on technical role that requires deep expertise in Swift, real-time rendering, and spatial computing. Key Responsibilities • Build and optimize Apple Vision Pro applications using visionOS, RealityKit, and Swift, with focus on spatial interactions and hand/eye tracking. • Integrate and optimize streaming workflows to deliver Omniverse content to Vision Pro. • Work concurrently across macOS, Windows, and Vision Pro hardware for real-time testing and development. • Set up, test, and troubleshoot cloud or local streaming paths (e.g., CloudXR or similar frameworks). • Develop automation and tooling using Python to support Omniverse, USD workflows, and internal pipelines. • Collaborate with teams using Unity, Unreal, or custom rendering engines. • Diagnose and resolve performance issues across rendering, encoding, streaming, and client application layers. • Work hands-on with GPU workstations, multi-OS setups, and rapid configuration cycles. Required Qualifications • 5+ years of professional software development experience focused on XR/AR/VR. • Non-negotiable: Advanced Swift proficiency with experience developing native visionOS or iOS apps. • Experience developing for Vision Pro using visionOS, RealityKit, and ARKit. • Ability to work fluidly across macOS and Windows environments, including device setup and rapid context switching. • Strong understanding of spatial computing (hand/eye tracking, spatial mapping, real-time interactions). • Proficiency in Python scripting, including automation or tool development (Omniverse/USD workflows). • Solid knowledge of real-time graphics, rendering pipelines, and GPU optimization. • Ability to troubleshoot complex client–server and streaming issues. Highly Preferred Qualifications • Experience with CloudXR or similar XR streaming tools (CloudXR strongly preferred, not required). • Familiarity with NVIDIA Omniverse, USD APIs, or Omniverse streaming. • Experience with C++ or C#. • Background with Unity or Unreal integrations. • Knowledge of video encoding, streaming protocols, or network performance optimization. • Experience developing XR applications for other platforms (Meta Quest, HTC Vive, etc.). Technical Environment • Languages: Swift (primary), Python, C++/C# • Platforms: Apple Vision Pro (visionOS), macOS, Windows • Technologies: RealityKit, ARKit, Omniverse/USD, streaming tools (CloudXR or equivalents) • Tools: Xcode, Git, Omniverse tools, GPU workstations, network/streaming analysis tools • Hardware: Vision Pro, RTX-powered workstations, multi-system development setups Location: Remote Duration: 3+ months Rate: $65 - $85 W2

Head of Technology (Santa Monica, CA | On-site) • Be at the forefront of a revolution in real estate and built environment decision-making., • Work alongside a visionary founding team with experience across AI, real estate, and startups., • A chance to reshape the future of an industry worth trillions. About Diald AI Diald AI is transforming how commercial real estate decisions are made. Our AI-powered platform equips investors, developers, and lenders with next-generation insights—replacing gut feel and outdated methods with precision, clarity, and speed. We’re on a mission to revolutionize an age-old industry, and we’re looking for a seasoned real estate professional to help us lead the charge. Cultural Fit At Diald AI, we are building a company for people who love the work — not just the idea of the work. Our culture rewards curiosity, intensity, and a genuine desire to push boundaries in an industry long overdue for change. We operate with minimal hierarchy, fast decision cycles, and a deep respect for those who take ownership and move with purpose. We’re looking for someone who finds joy in the grind: a builder who works hard not because they’re told to, but because solving hard problems is intrinsically motivating. Someone who is energized, not intimidated, by fast pace, ambiguity, and the responsibility that comes with true autonomy. Selflessness is core to who we are. Team and company come before ego. Flexibility is expected — roles evolve quickly, and the right person adapts even faster. If you prefer stability, predictability, and playing a narrow role in a large machine, this is likely not the right fit. Corporate “cogs” struggle here. But for the right leader — someone who sees work as a craft, not a chore — Diald AI offers something rare: the opportunity to build a category-defining product that meaningfully reshapes the built world. We move quickly, learn continuously, take calculated risks, and support each other fiercely. If the idea of staying up late because you want to finish something — not because you have to — feels familiar, you’ll thrive here. Job Responsibilities • Lead technology strategy for real estate AI startup, architecting enterprise-grade, multi-tenant platforms using AI-driven analysis of qualitative information on real estate properties, • Oversee the full SaaS lifecycle—from MVP to scaled production—leveraging Python for data processing/ML models and React/Vue.js for responsive dashboards, and white-label client portals; ensure SOC 2 compliance., • Partner with CEO, sales, and customer success to prioritize roadmaps using enterprise KPIs (ARR, churn, NPS), balancing rapid feature delivery in Python/JavaScript stacks with technical debt reduction., • Optimize cloud costs on GCP and negotiate proptech vendor contracts. Required Qualifications • Must have deep hands-on expertise writing code in Python for backend services and modern JavaScript frameworks (React, Vue.js) for frontend., • Must have 5+ years of enterprise SaaS leadership., • Must have experience managing a 10–30 person engineering team with at least 5 years of direct people management experience; recruiting Python and JavaScript specialists proficient in microservices. Preferred Qualifications • Experience in distributed LLM prompt and context chaining across several approach vectors and millions of input parameters., • Experience in fast moving software startup environments with high ambiguity, shifting priorities and objectives, • Experience in real estate or fintech SaaS product universe with knowledge of our customer base., • Experience designing and scaling RAG pipelines, multi-modal data ingestion flows, vector search systems, and LLM context-management architectures., • Experience building agentic AI infrastructure, including multi-step reasoning agents, tool integration, memory systems, and orchestration frameworks.

We're seeking an experienced Senior Developer specializing in CloudXR streaming and Apple Vision Pro development. This role focuses on building high-performance XR applications that deliver immersive spatial experiences through cloud rendering and streaming technologies. You'll architect solutions that bring desktop-class 3D content to spatial computing devices with minimal latency. Key Responsibilities • Develop and optimize CloudXR streaming applications for Apple Vision Pro and other XR platforms • Build native Vision Pro applications using visionOS, RealityKit, and Swift with focus on spatial interactions and hand/eye tracking • Implement CloudXRKit or similar frameworks to enable high-fidelity XR streaming from Windows/Linux servers to Vision Pro clients • Design and optimize network protocols and rendering pipelines for low-latency cloud-to-device streaming • Integrate voice command systems and natural language processing for spatial UI control • Develop spatial input solutions leveraging 6DOF controllers and hand tracking • Troubleshoot and resolve performance bottlenecks in streaming pipelines, GPU encoding, and network transmission • Work with various rendering backends (Unity, Unreal, custom engines) as CloudXR sources Required Qualifications • 5+ years of professional software development experience with focus on XR/AR/VR • Strong experience with CloudXR SDK implementation and deployment, including stream optimization and network troubleshooting • Proven track record building applications for Apple Vision Pro using visionOS, RealityKit, and ARKit • Deep understanding of real-time XR streaming protocols, video encoding (H.264/H.265), and network optimization • Experience with spatial computing concepts: hand tracking, eye tracking, spatial anchors, and passthrough • Proficiency in Swift for native visionOS development • Strong understanding of 3D graphics, rendering pipelines, and GPU optimization • Experience debugging distributed systems and client-server architectures Preferred Qualifications • Experience with CloudXRKit or building custom CloudXR client implementations • Python development experience, particularly with NVIDIA Omniverse Composer and USD APIs • Knowledge of Unity 3D or Unreal Engine as CloudXR streaming sources • Experience with spatial audio implementation and optimization • Background in wake word detection and voice command mapping for XR interfaces • Familiarity with 6DOF input devices (styluses, controllers) and pressure-sensitive spatial input • Knowledge of NVIDIA RTX technologies and ray tracing pipelines • Understanding of network QoS, bandwidth management, and adaptive streaming • Experience developing for Meta Quest, HTC Vive, or other XR platforms Technical Environment • Primary languages: Swift, Python, C++/C# • Core platforms: Apple Vision Pro (visionOS), CloudXR • Key technologies: RealityKit, ARKit, NVIDIA CloudXR SDK, video encoding/streaming • Development tools: Xcode, Git, network analysis tools • Hardware: High-performance GPU workstations (RTX series), Vision Pro development kit Location: Remote Duration: 3+ months Rate: $65 - $85 W2

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries. Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to: • Career development with an international company where you can grow the career you dream of., • Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year., • An excellent retirement savings plan with high employer contribution., • Tuition reimbursement, the ___ student debt program and ___ education benefit - an affordable and convenient path to getting a bachelor’s degree., • A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune., • A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists. The Opportunity This position works onsite in our Sunnyvale, CA or Sylmar CA locations in the Cardiac Rhythm Management Division. As a global leader in Cardiac Rhythm Technologies, we focus on innovative technologies that can improve the way doctors treat people with heart arrhythmias, or irregular heartbeats. The Software Quality Engineer II is responsible for Software Quality relative to the design and development of company products, software reliability, developing and maintaining processes and procedures, and assuring adherence to the software development lifecycle across Abbott. Responsible for maintaining a strong collaborative partnership with cross-functional team members that facilitates organizational success by protecting patient/user safety and meeting business needs. What You’ll Work On * Execute and support on-time completion of Quality Engineering deliverables: test plans (manual an automated), test scripts (manual and automated), test reports * Manage test planning and execution efforts by a combined, team of testers located onsite and/or offshore * Design and develop test automation frameworks, as needed * Gain familiarity with testing methodology, processes, tools, templates, environment, and work with cross functional teams to complete tasks assigned * Explain the testing methodology, processes, tools, templates, environment, and concepts to the team members, and cross-functional teams at large * Create and manage testing schedule and work plan * Coordinate test planning efforts * Support on-time execution of Quality Plans * Train to development and documentation of standard operating procedures, specifications and test procedures * Design Verification and Validation test planning & execution, including active cross-functional root-cause analysis investigation & resolution activities (using manual test cases, or developing test automation scripts) * Participate in reviews for System and Software requirements, Software and Firmware design, and code inspection, using static testing and TDD practices * Reviews test protocols and test results provided by another functional group. * Support product Risk Management activities * Bring forth ideas and implement quality tools that improve the software design reviews. * Bring forth ideas and implement testing tools that improve the software testing lifecycle. * Ensure DHF content completion, integrity, and regulatory & standards compliance; collaboratively communicating & resolving gaps * Support internal & external audit and related responses * Support the establishment of objective, measurable and verifiable customer and product requirements * Complete Document Change Request Reviews in a timely and objective manner * Additional duties may be identified by functional management based on the current project/business objectives. * Required Qualifications * Bachelor level degree in Computer science, software engineering or a closely related discipline or an equivalent combination of education and work experience. * Minimum of 2-5+ years of combined experience in software development, web-based, client-server, and/or embedded systems applications * Minimum 2-5+ years of combined experience in software testing and verification/validation. Preferred Qualifications * Experience developing automation frameworks and scripts using Selenium, and/or Appium, UFT, etc. * Programming experience in C/C#/Visual Studio/Java, Scripting Language such as Python, Ruby, Perl * Experience with software configuration, and issue tracking tools such as GIT, Jira, Subversion, ClearQuest, Doors, Bugzilla. * Experience using overall test management tools such as Microfocus ALM, Zephyr, TestComplete. * Experience in code review/static analysis tool(s) to aide code review such as Code Collaborator, Coverity, Parasoft DT * Experience as team-member in Agile SDLC projects/programs knowledge of various types of SDLC’s and TLC’s (V-Model, Iterative, Agile/Scrum, etc.) * Working experience in behavior-driven testing and scripting using cucumber or behave. * Experience in automated test execution and coordination, using Selenium and Appium. * Ability to work in a highly matrixed and geographically diverse business environment. * Working experience in mobile test automation tools (e.g. Perfecto, MobileLabs) Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: ___ Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity. Connect with us at ___, on Facebook at ___ and on Twitter @AbbottNews. The base pay for this position is $79,500.00 – $138,700.00. In specific locations, the pay range may vary from the range posted.

Mercor is seeking software engineers to support one of the world’s leading AI labs in building robust, high-performance systems that serve the needs of next-generation machine learning applications. This role involves using coding agents to perform a variety of realistic coding tasks on real world codebases. * * * You are good fit if you: - Have extensive experience using coding agents as part of your software engineering workflow (codex, claude code, etc.). - Fluent in one of the following languages: Rust, JavaScript/TypeScript, Python. - Contributions to open source projects. - Extensive work on robust personal projects that are shared publicly on GitHub. - Hold a Computer Science degree from a prestigious university in the U.S., Canada, U.K., Australia or New Zealand. - Currently located in the U.S., Canada, U.K., Australia or New Zealand. - Demonstrate exceptional attention to detail and rigorous problem-solving skills. - Excel in both written and verbal communication. * * * Role Highlights - Flexible workload: 10–20 hours per week, with potential to increase to 40 hours. - Fully remote and asynchronous—work on your own schedule. - Minimum duration: 2 weeks, with potential for extension. * * * Role Start Date - This role will begin early October with applications reviewed on a rolling basis. * * * Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor - We will pay you out at the end of each week via Stripe Connect * * * About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey. Apply today and redefine digital creativity alongside groundbreaking AI technologies!

Mercor is seeking Biology PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Biology from a top US university. - Have experience coding in Python, R for projects or research. - Have field-specific experience in Ecology, Biochemistry, or Genetics - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

1\. Role OverviewMercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication — distinct from production ML engineering. 2\. Key Responsibilities ● Translate business questions into data science problems and analytical workflows ● Conduct data wrangling, exploratory analysis, and hypothesis testing ● Develop statistical models and predictive tools for decision support ● Create compelling data visualizations and dashboards for business users ● Present findings and recommendations to non-technical stakeholders 3\. Ideal Qualifications ● 5+ years of applied data science or analytics experience in business settings ● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills ● Experience with data visualization tools (e.g., Tableau, Power BI) ● Solid understanding of statistical modeling, experimentation, and A/B testing ● Strong communication skills for translating technical work into strategic insights 4\. More About the Opportunity ● Remote ● Expected commitment: min 30 hours/week ● Project duration: ~6 weeks 5\. Compensation & Contract Terms ● $75–100/hour ● Paid weekly via Stripe Connect ● You’ll be classified as an independent contractor 6\. Application Process ● Submit your resume followed by domain expertise interview and short form 7.About Mercor ● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations ● Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey ● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

Mercor is seeking Mathematics PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Mathematics from a top US university. - Have experience coding in Python, MATLAB for projects or research. - Have field-specific experience in Numerical linear Algebra, Computational Mechanics, or Computational Finance - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Role Overview Mercor is seeking data scientists to support one of the world’s leading AI labs in building robust, high‑performance systems for next‑generation machine learning applications. In this role, you will focus on hands‑on data science tasks, such as designing experiments, gathering and preprocessing data, building and evaluating models, and collaborating closely with engineering teams to deploy production‑ready solutions. Ideal candidates should be proficient in Python (Jupyter Notebooks), familiar with machine learning frameworks like TensorFlow or PyTorch, and experienced in analyzing large datasets and building predictive models. In addition, you will write, review, and validate prompt‑based questions used to train AI systems. * * * You are a good fit if you: - Have over 3+ years of professional experience in data science or applied analytics. - Are highly skilled in Python and Jupyter notebooks. - Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. - Have a bachelor's degree in data science, statistics, computer science, or related field in the U.S., Canada, New Zealand, UK or Australia. - Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. - Demonstrate excellent verbal and written communication skills. - Have strong attention to details. * * * ### More About the Opportunity - Commitment: 20–40 hours per week, with potential to scale up to 80 hours. - Structure: Fully remote and asynchronous - set your own schedule. - Duration: Minimum 1 months, with possible extension based on project scope and performance. - Start Date: Early September, with applications reviewed on a rolling basis. * * * ### Compensation & Contract Terms - Classified as an independent contractor for Mercor. - Hourly payments for services rendered, processed weekly via Stripe Connect. - Flexible terms based on location and expertise level. * * * ### Application Process - Submit your resume or project portfolio to get started. - Complete a brief form outlining your technical background and agent usage experience. - Applications are reviewed continuously, and selected professionals will be contacted with next steps. * * * ### About Mercor - Mercor is a talent marketplace connecting top experts with leading AI research labs and organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of technical professionals partner with Mercor to contribute to frontier AI projects shaping the next era of intelligent systems. * * *

1) Role Overview Mercor is seeking experienced PyTorch experts who excel in extending and customizing the framework at the operator level. Ideal contributors are those who deeply understand PyTorch’s dispatch system, ATen, autograd mechanics, and C++ extension interfaces. These contractors bridge research concepts and high-performance implementation, producing clear, maintainable operator definitions that integrate seamlessly into existing codebases. ### 2) Key Responsibilities - Design and implement new PyTorch operators and tensor functions in C++/ATen. - Build and validate Python bindings with correct gradient propagation and test coverage. - Create “golden” reference implementations in eager mode for correctness validation. - Collaborate asynchronously with CUDA or systems engineers who handle low-level kernel optimization. - Profile, benchmark, and report performance trends at the operator and graph level. - Document assumptions, APIs, and performance metrics for reproducibility. ### 3) Ideal Qualifications - Deep understanding of PyTorch internals (TensorIterator, dispatcher, autograd engine). - Strong background in C++17+ and template metaprogramming within PyTorch’s ecosystem. - Experience authoring or extending PyTorch custom ops or backends. - Working knowledge of performance profiling tools and GPU/CPU interplay. - Strong written communication and ability to deliver well-documented, self-contained modules. - Prior open-source contributions to PyTorch, TorchInductor, Triton, or related projects are a plus. ### 4) More About the Opportunity - Ideal for contractors who enjoy building clean, high-performance abstractions in deep learning frameworks. - Work is asynchronous, flexible, and outcome-oriented. - Collaborate with CUDA optimization specialists to integrate and validate kernels. - Projects may involve primitives used in state-of-the-art AI models and benchmarks. ### 5) Compensation & Contract Terms - Typical range: $100–$200/hour, depending on experience and project scope. - Structured as an independent contractor engagement, not employment. - Payments for services rendered on a milestone or weekly invoice cadence. - Confidentiality and IP assignment agreements may apply. ### 6) Application Process - Share a concise summary of your experience with PyTorch internals and systems-level programming. - Include links to open-source work, GitHub PRs, or sample operator implementations. - Provide hourly rate, availability, and relevant technical background. - Selected experts may complete a short, paid pilot module to demonstrate fit. ### 7) About Mercor - Mercor connects top-tier independent professionals with leading AI labs and research organizations. - Contractors retain full control over their work, schedule, and deliverables. - Our engagements focus on high-skill, high-autonomy technical work across AI systems and optimization

Mercor is seeking Chemistry PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Chemistry from a top US university. - Have experience coding in Python, R for projects or research. - Have field-specific experience in Quantum Chemistry or Computational Chemistry - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Role Overview Mercor is collaborating with a leading AI research organization seeking exceptional early-career software engineers from the United States, United Kingdom, Canada, Australia, and New Zealand. This short-term engagement offers a unique opportunity to contribute to the development and optimization of advanced AI systems. Participants will work on high-impact engineering projects requiring strong technical execution, precision, and adaptability. This is a 2-week project-based contract ideal for independent contributors with strong software engineering fundamentals. ### Key Responsibilities - Evaluate and annotate code snippets, scripts, and software tasks for accuracy and quality. - Identify logical errors, inefficiencies, and improvements in code samples. - Provide structured feedback on programming logic, implementation, and clarity. - Work independently to meet daily annotation and review goals. - Maintain consistency and precision when applying labeling guidelines. ### Ideal Qualifications - Bachelor’s degree or equivalent experience in Computer Science, Software Engineering, or a related technical field. - Proficiency in more than one major programming language (Python, C++, Go, or Java). - Strong understanding of algorithms, data structures, debugging, and code analysis. - Exceptional analytical, communication, and problem-solving skills. - Prior experience working on structured software engineering evaluations or benchmarks is a plus. - Residency in one of the following regions: United States, United Kingdom, Canada, Australia, or New Zealand. ### More About the Opportunity - Fully remote and asynchronous — set your own schedule. - Expected commitment: 20–30 hours per week. - Project duration: approximately 2 weeks. - Short-term, high-intensity contract supporting cutting-edge AI development. ### Compensation & Contract Terms - Payments processed weekly via Stripe Connect. - Engagement structured as an independent contractor relationship. ### Application Process - Submit your resume and/or GitHub portfolio to begin. - Complete a required technical assessment as part of the selection process. - Applicants will be notified of next steps within 5–7 business days after submission. ### About Mercor - Mercor is a talent marketplace connecting top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across engineering, research, law, and creative fields collaborate through Mercor on frontier projects shaping the next era of AI.

Mercor is seeking Physics PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Physics from a top US university. - Have experience coding in Python, MATLAB for projects or research. - Have field-specific experience in Condensed Matter Physics, Optics, Quantum Information/Computing, Computational Physics, Astrophysics, Particle Physics - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

At Mercor, we’re building the talent engine that helps leading labs and research orgs move AI forward. Our latest initiative focuses on benchmarking and improving model performance and training speed across real ML workloads. If you’re an early-career Machine Learning Engineer or an ML PhD who cares about innovation and impact, we’d love to meet you. ## What to Expect As a Machine Learning Engineer, you’ll tackle diverse problems that explore ML from unconventional angles. This is a remote, asynchronous, part-time role designed for people who thrive on clear structure and measurable outcomes. - Schedule: Remote and asynchronous—set your own hours - Commitment: ~20 hours/week - Duration: Through December 22nd, with potential extension into 2026 ## What You’ll Do - Draft detailed natural-language plans and code implementations for machine learning tasks - Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments - Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks ## What You’ll Bring - Experience: 0–2 years as a Machine Learning Engineer or a PhD in Computer Science (Machine Learning coursework required) - Required Skills: Python, ML libraries (XGBoost, Tensorflow, scikit-learn, etc.), data prep, model training, etc. - Bonus: Contributor to ML benchmarks - Location: MUST be based in the United States ## Compensation & Terms - Rate: $80-$120/hr, depending on region and experience - Payments: Weekly via Stripe Connect - Engagement: Independent contractor ## How to Apply 1. Submit your resume 2. Complete the System Design Session (< 30 minutes) 3. Fill out the Machine Learning Engineer Screen (<5 minutes) ## Why Mercor Mercor is a talent marketplace connecting top experts with leading AI labs and research organizations. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across law, creative fields, engineering, and research use Mercor to work on frontier projects shaping the next era of AI.

Role Description Mercor is hiring on behalf of a leading AI research lab to bring on a highly skilled Data Scientist with a Kaggle Grandmaster profile. In this role, you will transform complex datasets into actionable insights, high-performing models, and scalable analytical workflows. You will work closely with researchers and engineers to design rigorous experiments, build advanced statistical and ML models, and develop data-driven frameworks to support product and research decisions. * * * ## What You’ll Do - Analyze large, complex datasets to uncover patterns, develop insights, and inform modeling direction - Build predictive models, statistical analyses, and machine learning pipelines across tabular, time-series, NLP, or multimodal data - Design and implement robust validation strategies, experiment frameworks, and analytical methodologies - Develop automated data workflows, feature pipelines, and reproducible research environments - Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations to support research and product teams - Translate modeling outcomes into clear recommendations for engineering, product, and leadership teams - Collaborate with ML engineers to productionize models and ensure data workflows operate reliably at scale - Present findings through well-structured dashboards, reports, and documentation * * * ## Qualifications - Kaggle Competitions Grandmaster or comparable achievement: top-tier rankings, multiple medals, or exceptional competition performance - 3–5+ years of experience in data science or applied analytics - Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) - Experience building ML models end-to-end: feature engineering, training, evaluation, and deployment - Solid understanding of statistical methods, experiment design, and causal or quasi-experimental analysis - Familiarity with modern data stacks: SQL, distributed datasets, dashboards, and experiment tracking tools - Excellent communication skills with the ability to clearly present analytical insights * * * ## Nice to Have - Strong contributions across multiple Kaggle tracks (Notebooks, Datasets, Discussions, Code) - Experience in an AI lab, fintech, product analytics, or ML-focused organization - Knowledge of LLMs, embeddings, and modern ML techniques for text, images, and multimodal data - Experience working with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) - Familiarity with statistical modeling frameworks such as Bayesian methods or probabilistic programming * * * ## Why Join - Gain exposure to cutting-edge AI research workflows, collaborating closely with data scientists, ML engineers, and research leaders shaping next-generation analytical systems. - Work on high-impact data science challenges while experimenting with advanced modeling strategies, new analytical methods, and competition-grade validation techniques. - Collaborate with world-class AI labs and technical teams operating at the frontier of forecasting, experimentation, tabular ML, and multimodal analytics. - Flexible engagement options (30-40 hrs/week or full-time) — ideal for data scientists eager to apply Kaggle-level problem-solving to real-world, production analytics. - Fully remote and globally flexible work structure — optimized for deep analytical work, async collaboration, and high-output research.

Mercor is seeking PhD holders, doctoral candidates, and exceptional Master’s graduates in chemistry and related fields to join a high-impact AI research initiative in collaboration with a leading artificial intelligence lab. * * * ### Key Domains Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply — we’re excited to have you on the team! Core Chemistry Disciplines: General Chemistry, Inorganic Chemistry, Organic Chemistry, Physical Chemistry Analytical and Specialized Chemistry: Analytical Chemistry, Electrochemistry, Radiochemistry, Polymer Chemistry Biological and Medicinal Chemistry: Biochemistry and Molecular Biology, Medicinal Chemistry Chemical Engineering and Process Sciences: Chemical Engineering and Technology, Fluid Flow and Heat Transfer in Chemical Engineering, Mass Transport and Separation Processes, Chemical Reaction Engineering * * * ### Key Responsibilities - Evaluate the scientific accuracy, reasoning, and technical rigor of LLM-generated content across chemical disciplines. - Review outputs on topics spanning molecular structure, kinetics, thermodynamics, catalysis, reaction mechanisms, and industrial processes. - Identify and document factual inaccuracies, logical inconsistencies, and reasoning gaps. - Provide structured feedback and benchmarking using specialized evaluation tools. - Work independently and asynchronously as part of a distributed research team. * * * ### Requirements - PhD (candidate/recipient) or Masters in Chemistry, Chemical Engineering, Biochemistry, or a closely related field. - Strong command of graduate-level chemistry concepts and scientific problem solving. - Excellent written communication and analytical thinking skills. - Ability to work independently in a remote, asynchronous environment. - Strong proficiency in Python, particularly for scientific analysis and model evaluation, is required. * * * ### Role Details - Part-time (approximately 20 hours/week) - Remote and asynchronous - Flexible schedule * * * ### Compensation - Contractor position via Mercor - $20–$30/hou, based on expertise and domain experience - Weekly payments via Stripe Connect * * * ### About Mercor Mercor is a San Francisco-based company connecting top professionals with leading AI initiatives. Investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Mercor is seeking PhD holders, doctoral candidates, and outstanding Master’s graduates in physics and related disciplines to join a high-impact AI research initiative in partnership with a leading artificial intelligence lab. * * * ### Key Domains Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply — we’re excited to have you on the team! Fundamental Physics: Theoretical Mechanics, Theoretical Optics, Statistical Mechanics, Thermodynamics, Fluid Physics, Optics and Acoustics Modern & Applied Physics: Electromagnetism and Photonics, Atomic and Molecular Physics, Solid State Physics, Semiconductor Physics, Biophysics Space and Cosmological Sciences: Astrophysics and Cosmology Engineering Disciplines: Electrical Engineering, Control Theory and Control Engineering, Mechanical Engineering * * * ### Key Responsibilities - Evaluate scientific correctness, conceptual rigor, and depth of LLM-generated responses across physics and engineering topics. - Review outputs involving mathematical modeling, experimental methods, and theoretical frameworks in physics. - Identify factual errors, reasoning flaws, and conceptual misunderstandings in model outputs. - Benchmark model performance on advanced physics and applied engineering problems. - Work independently and asynchronously using proprietary evaluation tools. * * * ### Requirements - PhD (candidate/recipient) or Masters in Physics, Applied Physics, Electrical or Mechanical Engineering, or a closely related field. - Strong command of graduate-level physics and mathematical reasoning. - Excellent written communication and analytical abilities. - Ability to work independently in a remote, asynchronous setting. - Strong proficiency in Python, particularly for scientific analysis and model evaluation, is required. * * * ### Role Details - Part-time (20 hours/week) - Remote and asynchronous work environment - Flexible schedule to accommodate global contributors * * * ### Compensation - Contractor position via Mercor - $20–$30/hour, depending on expertise and domain depth - Weekly payments through Stripe Connect * * * ### About Mercor Mercor is a San Francisco-based company connecting top professionals with leading AI initiatives. Investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Mercor is partnering with a top AI research organization to evaluate and improve how coding assistants reason, act, and communicate during development workflows. We’re seeking technically sharp experts (especially those with experience in code review, testing, or documentation) to assess full transcripts of user–AI coding conversations. This short-term, fully remote engagement helps shape the future of developer-assisting AI systems. Key Responsibilities • Review long-form transcripts between users and AI coding assistants • Analyze the AI’s logic, execution, and stated actions in detail • Score each transcript using a 10-point rubric across multiple criteria • Optionally write brief justifications citing examples from the dialogue • Detect mismatches between claims and actions (e.g., saying “I’ll run tests” but not doing so) Ideal Qualifications Top choices: • Senior or Staff Engineers with deep code review experience and execution insight • QA Engineers with strong verification and consistency-checking habits • Technical Writers or Documentation Specialists skilled at comparing instructions vs. implementation Also a strong fit: • Backend or Full-Stack Developers comfortable with function calls, APIs, and test workflows • DevOps or SRE professionals familiar with tool orchestration and system behavior analysis Languages and Tools: • Proficiency in Python is helpful (most transcripts are Python-based) • Familiarity with other languages like JavaScript, TypeScript, Java, C++, Go, Ruby, Rust, or Bash is a plus • Comfort with Git workflows, testing frameworks, and debugging tools is valuable More About the Opportunity • Remote and asynchronous — complete tasks on your own schedule • Must complete each transcript batch within 5 hours of starting (unlimited tasks to be done) • Flexible, task-based engagement with potential for recurring batches Compensation & Contract Terms • Competitive hourly rates based on geography and experience • Contractors will be classified as independent service providers • Payments issued weekly via Stripe Connect Application Process • Submit your resume to begin • If selected, you’ll receive rubric documentation and access to the evaluation platform • Most applicants hear back within a few business days About Mercor • Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations • Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey • Thousands of professionals across law, engineering, and research contribute to frontier AI projects via Mercor

Role OverviewMercor is collaborating with a global insurance and financial services client to support actuarial modeling processes via high-quality data preparation. We are seeking actuarial professionals with experience in seriatim data extraction, cleansing, and validation from life insurance policy administration systems. This opportunity centers around ensuring reliable, audit-ready datasets for valuation, modeling, and financial reporting workflows. This is a short-term, project-based opportunity with high autonomy and clearly scoped deliverables. Key Responsibilities - Extract policy-level data for a given valuation date from systems such as FAST, OIPA, or Sapiens. - Validate record counts against control totals and identify missing or inconsistent fields. - Reconcile in-force movements between periods, including new issues and terminations. - Identify and flag policies with anomalous data for manual review. - Map product codes to actuarial model inputs and document data assumptions. - Deliver a clean, formatted dataset suitable for actuarial projection software. Ideal Qualifications - 5+ years of experience in actuarial data processing or valuation support. - Familiarity with life insurance policy administration systems (e.g., OIPA, FAST, LIFE/400). - Proficiency with Excel and data quality tools; basic scripting knowledge (SQL, Python) is a plus. - Strong attention to detail and understanding of actuarial data structures. - Ability to clearly document data anomalies and reconciliation logic. More About the Opportunity - Remote and asynchronous — control your own work schedule - Expected commitment: min 30 hours/week - Project duration: ~6 weeks Compensation & Contract Terms - $75–100/hour - Independent contractor arrangement - Paid weekly via Stripe Connect Application Process - Submit your resume followed by domain expertise interview and short form About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.

Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - Statistical Failure Analysis: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - Root Cause Analysis: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - Dimension Analysis: Analyze performance variations across finance sub-domains, file types, and task categories - Reporting & Visualization: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - Quality Framework: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - Stakeholder Communication: Present insights to data labeling experts and technical teams ## Required Qualifications - Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets - AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics - Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience

Position Overview Emonics LLC is seeking a curious and motivated Machine Learning Intern to join our AI/ML team in Dallas. This internship provides hands-on exposure to real-world projects involving data analysis, model building, and algorithm optimization. It’s an ideal opportunity for students or recent graduates who want to apply their academic knowledge in a professional setting and gain practical experience in machine learning and data science. Key Responsibilities Assist in developing, training, and evaluating machine learning models. Preprocess, clean, and analyze datasets to extract valuable insights. Support data scientists and engineers in implementing ML workflows and pipelines. Research new algorithms and frameworks to improve model performance. Visualize results and present findings to the project team. Document methodologies, experiments, and outcomes for internal use. Required Qualifications Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field. Fundamental understanding of machine learning algorithms (supervised and unsupervised). Proficiency in Python and experience with ML libraries such as scikit-learn, TensorFlow, or PyTorch. Familiarity with data analysis tools like Pandas, NumPy, or Jupyter Notebooks. Strong problem-solving, analytical, and communication skills. Preferred Qualifications Exposure to cloud platforms (AWS, Azure, or GCP) for model deployment. Experience with data visualization tools (Matplotlib, Seaborn, Power BI). Previous internship, coursework, or personal projects in AI or ML. What You’ll Gain Hands-on experience with real-world datasets and ML development cycles. Mentorship from experienced data scientists and engineers. Opportunities to contribute to impactful AI solutions. A potential path toward a full-time position at Emonics LLC. How to Apply Submit your resume and a brief cover letter highlighting your academic background and interest in machine learning to:

Job Summary: Our client is seeking a Senior Data Engineer to join their team! This position is located in Glendale, California. Duties: • Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines, • Build tools and services to support data discovery, lineage, governance, and privacy, • Collaborate with other software and data engineers and cross-functional teams, • Work with a tech stack that includes Airflow, Spark, Databricks, Delta Lake, Kubernetes, and AWS, • Collaborate with product managers, architects, and other engineers to drive the success of the Core Data platform, • Contribute to developing and documenting internal and external standards and best practices for pipeline configurations, naming conventions, and more, • Ensure high operational efficiency and quality of Core Data platform datasets to meet SLAs and ensure reliability and accuracy for stakeholders in Engineering, Data Science, Operations, and Analytics, • Participate in agile and scrum ceremonies to collaborate and refine team processes, • Engage with customers to build relationships, understand needs, and prioritize both innovative solutions and incremental platform improvements, • Maintain detailed documentation of work and changes to support data quality and data governance requirements Desired Skills/Experience: • 5+ years of data engineering experience developing large data pipelines, • Proficiency in at least one major programming language such as: Python, Java or Scala, • Strong SQL skills and the ability to create queries to analyze complex datasets, • Hands-on production experience with distributed processing systems such as Spark, • Experience interacting with and ingesting data efficiently from API data sources, • Experience coding with the Spark DataFrame API to create data engineering workflows in Databricks, • Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines, • Experience developing APIs with GraphQL, • Deep understanding of AWS or other cloud providers, as well as infrastructure-as-code, • Familiarity with data modeling techniques and data warehousing best practices, • Strong algorithmic problem-solving skills, • Excellent written and verbal communication skills, • Advanced understanding of OLTP versus OLAP environments Benefits: • Medical, Dental, & Vision Insurance Plans, • Employee-Owned Profit Sharing (ESOP), • 401K offered The approximate pay range for this position is between $51.00 and $73.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

2-3 days/week onsite in Manhattan Beach Job Description: We are seeking a skilled Data Engineer with strong experience in business intelligence (BI) and data warehouse development to join our team. In this role, you will design, build, and optimize data pipelines and warehouse architectures that support analytics, reporting, and data-driven decision-making. You will work closely with analysts, data scientists, and business stakeholders to ensure reliable, scalable, and high-quality data solutions. Responsibilities: • Develop and maintain ETL/ELT pipelines for ingesting, transforming, and delivering data., • Design and enhance data warehouse models (star/snowflake schemas) and BI datasets., • Optimize data workflows for performance, scalability, and reliability., • Collaborate with BI teams to support dashboards, reporting, and analytics needs., • Ensure data quality, governance, and documentation across all solutions. Qualifications: • Proven experience with data engineering tools (SQL, Python, ETL frameworks)., • Strong understanding of BI concepts, reporting tools, and dimensional modeling., • Hands-on experience with cloud data platforms (e.g., AWS, Azure, GCP) is a plus., • Excellent problem-solving skills and ability to work in a cross-functional environment.

About Castelion Castelion is bringing a new approach to defense development and production: one that focuses on short, iterative design cycles, rapid testing in development, and modern commercial manufacturing strategies for production at scale. We design, build, and test next generation weapon systems to give America and its Allies a definitive edge in defense capabilities. Automation and Controls Engineer The Automation and Controls Engineer will design, build, and commission robust manufacturing systems for production of hypersonic-flight components. Success requires a practical application of engineering principles to design, build, test, and commission process hardware, integrate new technologies into our production line, and integrate process equipment and technologies within our production line. We are seeking a hands-on problem solver with strong expertise in electro-mechanical system design and automation systems, as well as experience working with machinery and production environments. The key to excelling in this position is the effective application of mechanical, electrical, and control systems expertise to enable our manufacturing processes. Responsibilities • Design, build, customize, and test hardware and control systems for integration into composite manufacturing equipment balancing process requirements, cost and leadtime considerations., • Partner with mechanical, materials, and manufacturing engineering teams to align on hardware requirements and design solutions., • Mature manufacturing processes via the implementation of process control systems and procedures to ensure production consistency and reliability., • Work with suppliers and vendors to define specifications and ensure on-time delivery of equipment for production needs., • Troubleshoot hardware malfunction issues to minimize downtime and improve operations., • Provide guidance and implement robust plans for hardware maintenance and calibration to ensure reliable operation of the manufacturing equipment. Basic Qualifications • Bachelor’s degree in mechanical engineering, electrical engineering, aerospace engineering or industrial engineering., • 2+ years of experience in a fast-paced aerospace, automotive, or manufacturing production environment., • Experience identifying, trouble shooting and rectifying complex manufacturing issues involving multiple production resources in a deadline driven environment., • Understanding of manufacturing processes (machining, welding, forming, composites)., • Strong mechanical aptitude and willingness to engage in hands-on work to test and implement ideas., • CAD / CAM (Siemens NX)., • Computer Programming (Python, C, NodeJS, HTML, CSS). Preferred Skills & Experience • Master’s degree in mechanical engineering, electrical engineering, aerospace engineering or industrial engineering., • 4+ years of experience in a fast-paced aerospace manufacturing and production environment., • Automation (PLC programming, Industrial Robotics)., • CNC Machining., • IoT / Connected factory concepts., • Networking skills. Leadership Qualities • Bias to Action and Creative Problem Solving. Desire and experience questioning assumptions in ways that lead to break through ideas that are ultimately implemented. Successfully bring in applicable processes/concepts/materials from other industries to achieve efficiency gains. Ability to work independently and resolve minor issues in development with minimal oversight and support., • High Commitment, High Initiative. A successful candidate will have a genuine passion for Castelion’s mission and consistently look for ways to contribute to the company’s technical goals and prevent hardware blockers. Ability to work in a fast paced, autonomously driven, and demanding atmosphere. Strong sense of accountability and integrity., • Clear Communicator. Proactively communicates blockers. Trusted in previous roles to be voice of company with regulators, suppliers, gate keepers and customers. Capable of tactfully managing relationships with stakeholders to achieve company-desired outcomes without compromising relationships. Emails, IMs and verbal interactions are logical, drive clarity, and detailed enough to eliminate ambiguity. ITAR Requirements • To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Employment with Castelion is governed on the basis of competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. All employees are granted long-term stock incentives as part of their employment at Castelion. All employees receive access to comprehensive medical, vision, and dental insurance, and the company offers four weeks of paid time off per year.

Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! Job Description Your Career We are seeking a driven problem solver to join our Unit 42 Managed Detection and Response (MDR) team. Our team is responsible for customers internal security monitoring, threat hunting, and incident response. As a MDR Manager, we will rely on you to manage a team of experts who detect and respond to cyber incidents facing customers’ internal business. As a manager, you will join a team of leaders who overlook the Unit 42 MDR team to ensure premium delivery to our customers. You will have a critical role in how the team works, including creation of new processes, methodologies, and capabilities the team requires. Your Impact • Hire for and lead a team of MDR Analysts working globally. Guide the team, create and improve processes, methodologies, and capabilities that the team requires to work effectively, • Lead a team that analyzes incidents from real customer environments to identify ongoing threats to customer environments, • Provide critical feedback to different Product, Research, and Engineering teams to help improve the products for the entire Palo Alto Networks’ customer base, • Work closely with Security Research, Threat Intelligence, and Threat Hunting teams to remediate and detect new emerging threats Qualifications Your Experience • At least 3 years of team management experience, global management experience (world-wide team) is a plus, • Great interpersonal skills and a proven experience collaborating with customers, • Understanding of the threat landscape in terms of the tools, tactics, and techniques of attacks, as well as networking and security fundamentals, • Basic hands-on coding skills (e.g. Python), • Excellent written and oral communication skills, • Experience investigating targeted, sophisticated or hidden threats, • Background in forensic analysis and incident and response tools to identify a threat and determine the extent and scope of a compromise, • Experience with investigative technologies such as SIEM, packet capture analysis, host forensics, and Endpoint Detection and Response tools, • Understanding of how APTs operate and the attack cycle – different attack vectors, propagation and data exfiltration, lateral movement, persistence mechanism, etc., • Understanding of how organizations protect themselves from cyber-attacks, what tools are used and what remediation techniques are leveraged, • Advantages, • Having worked in SOC analysis or an investigation environment The Team The team you’ll lead helps protect customers by identifying the most sophisticated & stealthy attacks in their environment. The team does so by leveraging the Cortex product suite as well as unique tools, methodologies, and techniques. Cortex provides enterprise-scale detection and response that runs on integrated endpoint, network and cloud data — reduce the noise and focus on real threats. This team works closely with different product groups and helps improve each and every product by providing first-hand insights into how the product is used and how it can perform even better. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $158,000 - $254,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found ___. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.

Senior Backend Developer - Python $120,000 - $170,000 West Hollywood, CA Hybrid Overview We’re looking for a seasoned backend engineer to help design and build the core systems behind our workspace platform. You’ll take ownership of designing efficient services and APIs, working closely with product and engineering peers to deliver reliable, scalable systems. This role is ideal for someone who enjoys writing clean, performant code and shaping the technical foundation of a fast-moving product. What You’ll Be Doing • Partner with product and technical teams to define and deliver backend capabilities., • Design and implement service components and APIs that handle complex business logic., • Work primarily in Python, using frameworks such as Flask to develop and extend our service layer., • Build integrations and data flows on top of our cloud infrastructure (AWS)., • Participate in architectural planning, technical reviews, and process improvements across the team. About You • 6+ years of professional software engineering experience, including substantial time spent on backend systems., • Expert-level fluency in Python, with hands-on experience using Flask to build production-grade APIs and services., • Solid understanding of AWS fundamentals and modern cloud-based design patterns., • Comfortable designing for performance, scalability, and maintainability., • Pragmatic problem-solver with strong technical judgment and attention to detail., • Experience in enterprise SaaS or insurance platforms is a plus. Nice to Have: • Insurance industry experience.

Turn Learning Data Into Learning Breakthroughs At Subject, we're building AI-powered, personalized education at scale. Backed by Owl Ventures, Kleiner Perkins, Latitude Ventures, and more, we serve students across the country with cinematic, video-based learning. But we have a challenge: data is our superpower, and we need more talented, committed, and passionate people helping us build it out further. We’re looking for an Analytics Engineer to join our growing data and product organization. You’ll sit at the intersection of data, product, and engineering—transforming raw data into accessible, reliable, and actionable insights that guide decision-making across the company. This role will be foundational in building Subject’s analytics infrastructure, supporting initiatives like: • Product engagement and learning outcomes measurement, • Operational analytics for school implementations, • Generative AI products (e.g. Subject Spark Homework Helper and SparkTA), • Data integration across systems like postgres, dbt, Pendo, Looker, and more You’ll help define what “good data” means at Subject and ensure that stakeholders—from executives to course designers—can make confident, data-informed decisions. What You'll Build: Scalable Data Transformation Infrastructure • Design and optimize dbt models that handle 100M+ daily events with <5 minute refresh times, • Build modular, tested transformation pipelines that reduce compute costs by 70%+, • Create data quality frameworks and governance standards that make our warehouse reliable, • Build Looker dashboards that load in <3 seconds with millions of rows, • Design Hex notebooks turning hours-long reports into one-click updates, • Create self-service analytics empowering teams to answer their own questions, • Design dimensional models enabling rapid exploration of learning patterns, • Build feature stores feeding AI systems with clean, timely learning signals, • Create cohort analysis frameworks revealing which interventions work for which students, • Write SQL optimized for millisecond response times, • Build Python automation eliminating manual work and catching errors early, • Design orchestration workflows that run reliably and recover gracefully, • Optimize cloud costs while improving performance The Technical Stack: • dbt - Transformation layer (50% of your time), • SQL (PostgreSQL) - Complex analytical queries, performance tuning, • Python - pandas, numpy, matplotlib for analysis and automation, • Hex - Interactive notebooks for reporting, • Looker - Business intelligence and dashboards, • Cloud Data Warehouse - BigQuery You'll work with billions of learning events, student performance data, video engagement metrics, assessment results, and feedback loops. What We're Looking For: Required Experience • 3-5+ years in analytics engineering or data analytics building production systems, • Advanced SQL mastery - Elegant, performant queries. Understanding query plans and optimization, • dbt expertise - Built and maintained dbt projects with 100+ models, • Python proficiency - pandas, numpy, automation, and data pipelines, • BI tool experience - Production dashboards in Looker, Tableau, or similar he Mindset We Need • Performance obsession - Can't stand slow dashboards or inefficient queries, • User empathy - Build for people who need insights, not just technical elegance, • Systems thinking - Optimize the entire data pipeline from source to dashboard, • Ownership mentality - Maintain what you build, not just ship and move on, • Educational curiosity - Genuine interest in learning science and student success, • Collaborative spirit - Explain concepts clearly and elevate team data literacy Bonus Points • Education data or student analytics experience, • Data science or ML workflow exposure, • Cloud platform experience (GCP, AWS, Azure), • Reverse ETL or operational analytics, • Analytics engineering open source contributions Why This Role Matters: • Your dashboards inform decisions affecting 5 million students, • Your optimizations save hundreds of engineering hours monthly, • Your data models power AI personalization for each student, • Your work helps teachers understand and improve outcomes Compensation & Benefits Base Salary: $140K - $180K based on experience Equity: Meaningful ownership that grows with your impact Performance Bonus: Tied to infrastructure improvements and outcomes Health & Wellness: Comprehensive coverage, gym membership, daily meals Location: Los Angeles, CA (in-office preferred) Ready to Build Education's Data Foundation? This isn't just another analytics role. Define how a category leader uses data, build infrastructure that becomes industry-standard, and improve educational outcomes for millions. Apply now and transform education through data.

City: Glendale, CA Onsite/ Hybrid/ Remote: Hybrid (3 days a week onsite, Friday - Remote) Duration: 12 months Rate Range: Up to$85/hr on W2 depending on experience (no C2C or 1099 or sub-contract) Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B Must Have: • 5+ years Data Engineering, • Airflow, • Spark DataFrame API, • Databricks, • SQL, • API integration, • AWS, • Python or Java or Scala Responsibilities: • Maintain, update, and expand Core Data platform pipelines., • Build tools for data discovery, lineage, governance, and privacy., • Partner with engineering and cross-functional teams to deliver scalable solutions., • Use Airflow, Spark, Databricks, Delta Lake, Kubernetes, and AWS to build and optimize workflows., • Support platform standards, best practices, and documentation., • Ensure data quality, reliability, and SLA adherence across datasets., • Participate in Agile ceremonies and continuous process improvement., • Work with internal customers to understand needs and prioritize enhancements., • Maintain detailed documentation that supports governance and quality. Qualifications: • 5+ years in data engineering with large-scale pipelines., • Strong SQL and one major programming language (Python, Java, or Scala)., • Production experience with Spark and Databricks., • Experience ingesting and interacting with API data sources., • Hands-on Airflow orchestration experience., • Experience developing APIs with GraphQL., • Strong AWS knowledge and infrastructure-as-code familiarity., • Understanding of OLTP vs OLAP, data modeling, and data warehousing., • Strong problem-solving and algorithmic skills., • Clear written and verbal communication., • Agile/Scrum experience., • Bachelor’s degree in a STEM field or equivalent industry experience.

JSG JSG is seeking a Contract to Hire-Software Engineering Manager in Woodland Hills, California. Our client is seeking a Software Engineering Manager to lead our full-stack product engineering teams, delivering high-quality, scalable applications that power our business and customer experiences. This role requires a unique leader who can scale and inspire engineering teams, implement performance frameworks, and drive cross-functional alignment—while still being willing to roll up their sleeves and contribute hands-on in architecture, code reviews, and troubleshooting when needed. The ideal candidate has a strong foundation in modern application development (.NET, Java, Node.js, Python, React), understands enterprise-scale systems, and thrives in environments where innovation, quality, and velocity are equally important. Key Responsibilities Leadership & Team Growth • Lead and scale full-stack engineering teams across frontend, backend, and data services., • Mentor engineers at all levels—supporting technical growth, career development, and performance improvement., • Establish clear performance management frameworks (KPIs, OKRs, delivery velocity, quality metrics)., • Drive end-to-end development of customer-facing applications using React, .NET, Java, Node.js, and Python., • Partner with Product Management, UX, and Business Stakeholders to deliver features that enhance user experience and business value., • Roll up sleeves when needed: perform code reviews, architecture design, debugging, and hands-on prototyping., • Provide technical oversight and guidance for modern, scalable application architectures—including microservices, APIs, event-driven systems, and cloud-native deployments., • Guide decisions on frontend frameworks, backend services, and data integration strategies to ensure cohesive, scalable systems., • Champion reduction of technical debt and migration to cloud-first, containerized environments (Docker, Kubernetes)., • Collaborate closely with QA, Security, DevOps, and Data Engineering to ensure quality, compliance, and reliability., • Translate executive-level business goals into actionable engineering roadmaps., • Ensure alignment between product roadmaps and technical execution through clear decision cadences and prioritization., • Oversee incident response and production troubleshooting, driving rapid root cause analysis and long-term stability improvements., • Establish system performance dashboards and SLAs/SLOs to track uptime, scalability, and user experience., • Implement monitoring, observability, and logging strategies to support proactive issue detection., • Drive a DevOps-first culture for faster, safer, and more reliable deployments. Qualifications • 10+ years of software engineering experience, with at least 5 years in engineering management leading full-stack teams., • Strong hands-on experience in modern technologies:, • Frontend: React (preferred), Angular, or Vue., • Backend: .NET, Java, Node.js, Python., • Databases: SQL Server, PostgreSQL, NoSQL, and cloud-native databases (Azure SQL, AWS RDS, Cosmos DB)., • Proven success in scaling engineering teams and implementing structured performance management., • Experience with cloud-native architectures (Azure, AWS, or GCP), containerization (Docker, Kubernetes), and CI/CD automation., • Track record of cross-functional leadership with Product, Design, QA, and Business stakeholders., • Strong architectural judgment and ability to balance hands-on coding with high-level oversight., • Excellent communication skills, capable of engaging both executives and engineers. **JSG offers medical, dental, vision, life insurance options, short-term disability, 401(k), weekly pay, and more. Johnson Service Group (JSG) is an Equal Opportunity Employer. JSG provides equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, marital status, protected veteran status, or any other characteristic protected by law.

Must have skills • OneTrust platform administration (self-hosted, multi-module ownership), • UCPM / CMP / PIA (privacy & compliance modules), • API integrations & system architecture, • JavaScript (custom front-end logic for consent/known customer management), • .NET web services (platform integrations), • Python (automation / tooling development), • Data privacy & compliance operations (enterprise-scale platform governance) Job Description: We are looking for a Platform Lead to own and evolve the technology ecosystem that powers our enterprise compliance and data privacy operations. In this role, you will serve as the primary technical owner of our self-hosted OneTrust instance and several adjacent compliance technologies. You will partner with multiple business groups—including Compliance, Customer Communications, and Data Privacy Governance (DPG)—to ensure the platform is stable, scalable, and continually improving. This is a hands-on role for someone who is equally comfortable driving platform strategy, managing feature roadmaps, and diving into system architecture, integrations, and configuration details. Daily Tasks Performed: • Own the OneTrust Platform, • Serve as the primary administrator and technical owner of our self-hosted OneTrust environment., • Support three business functions:, • Compliance: UCPM for known customer profile management, DNSS receipts, and CMP for cookie configuration., • Communications/Email Marketing: UCPM for CAN-SPAM compliance and consent management., • DPG: PIA module for data inventory and privacy impact assessments., • Manage integrations with internal APIs and downstream systems., • Maintain the platform lifecycle: updates, patches, major releases, and environment planning., • Own the relationship with OneTrust product support, track escalations, and communicate platform changes., • Maintain the platform enhancement backlog and drive roadmap prioritization., • Support Compliance Technology Beyond OneTrust, • Take technical ownership of custom JavaScript front-end logic for known customer management across authenticated sites., • Support and evolve a .NET web service that brokers communication between OneTrust and internal systems., • Oversee and maintain an internal audit automation capability currently being developed in Python (and potentially lead future enhancements)., • Ensure alignment with enterprise IT operations, architecture, and security standards., • Collaboration & Leadership, • Serve as the central point of coordination across Legal/Compliance, Marketing, Data Privacy, IT Operations, and vendor teams., • Translate business requirements into scalable platform configurations and technical work packages., • Contribute to release planning, operational readiness, and incident/problem management., • Promote best practices in data privacy, compliance operations, and platform governance. What will this person be working on Support Compliance Technology Beyond OneTrust Position Success Criteria (Desired) - 'WANTS' Required • Hands-on experience administering or developing within OneTrust (any modules; platform-wide ownership preferred)., • Strong technical foundation in application/platform administration, API integrations, system configuration, and troubleshooting., • Ability to manage complex stakeholder needs and translate requirements into actionable technical plans. Nice to Have • Experience with UCPM, CMP, PIA, or related privacy/compliance tools., • Background in compliance, data privacy, or digital consent management., • Familiarity with modern web technologies (JavaScript), .NET services, or Python scripting., • Exposure to IT operations, incident/problem management, or release management., • Experience working with Jira for backlog and workflow management., • Knowledge of the automotive industry or large enterprise environments.

Title: Principal Data Scientist Location: Alhambra, CA, 91803 (2 days onsite, 2 days telework) Duration: 12 Months Contract Additional Information California Resident Candidates Only. This position is HYBRID (2 days onsite, 2 days telework). Interviews will be conducted via Microsoft Teams. The work schedule follows a 4/40 (10-hour days, Monday–Thursday), with the specific shift determined by the program manager. Shifts may range between 7:15 a.m. and 6:00 p.m. Job description: The Principal Data Scientist works to establish a comprehensive Data Science Program to advance data-driven decision-making, streamline operations, and fully leverage modern platforms including Databricks, or similar, to meet increasing demand for predictive analytics and AI solutions. The Principal Data Scientist will guide program development, provide training and mentorship to junior members of the team, accelerate adoption of advanced analytics, and build internal capacity through structured mentorship. The Principal Data Scientist will possess exceptional communication abilities, both verbal and written, with a strong customer service mindset and the ability to translate complex concepts into clear, actionable insights; strong analytical and business acumen, including foundational experience with regression, association analysis, outlier detection, and core data analysis principles; working knowledge of database design and organization, with the ability to partner effectively with Data Management and Data Engineering teams; outstanding time management and organizational skills, with demonstrated success managing multiple priorities and deliverables in parallel; a highly collaborative work style, coupled with the ability to operate independently, maintain focus, and drive projects forward with minimal oversight; a meticulous approach to quality, ensuring accuracy, reliability, and consistency in all deliverables; and proven mentorship capabilities, including the ability to guide, coach, and upskill junior data scientists and analysts. Experience Required: • Five (5)+ years of professional experience leading data science initiatives, including developing machine learning models, statistical analyses, and end-to-end data science workflows in production environments., • Three (3)+ years of experience working with Databricks and similar cloud-based analytics platforms, including notebook development, feature engineering, ML model training, and workflow orchestration., • Three (3)+ years of experience applying advanced analytics and predictive modeling (e.g., regression, classification, clustering, forecasting, natural language processing)., • Two (2)+ years of experience implementing MLOps practices, such as model versioning, CI/CD for ML, MLflow, automated pipelines, and model performance monitoring., • Two (2)+ years of experience collaborating with data engineering teams to design data pipelines, optimize data transformations, and implement Lakehouse or data warehouse architectures (e.g., Databricks, Snowflake, SQL-based platforms)., • Two (2)+ years of experience mentoring or supervising junior data scientists or analysts, including code reviews, training, and structured skill development., • Two (2)+ years of experience with Python and SQL programming, using data sources such as SQL Server, Oracle, PostgreSQL, or similar relational databases., • This classification requires possession of a Master’s degree or higher in Data Science, Statistics, Computer Science, or a closely related field. Additional qualifying professional experience may be substituted for the required education on a year-for-year basis. At least one of the following industry-recognized certifications in data science or cloud analytics, such as:, • Microsoft Azure Data Scientist Associate (DP-100), • Databricks Certified Data Scientist or Machine Learning Professional, • AWS Machine Learning Specialty, • Google Professional Data Engineer • or equivalent advanced analytics certifications. The certification is required and may not be substituted with additional experience. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit ___. US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Recruiter Details: Name: T Saketh Ram Sharma Email: Internal Id: 25-54101

STAND 8 provides end to end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India We are seeking a highly analytical and technically skilled Data Scientist to transform complex, multi-source data into unified, actionable insights used for executive reporting and decision-making. This role requires expertise in business intelligence design, data modeling, metadata management, data integrity validation, and the development of dashboards, reports, and analytics used across operational and strategic environments. The ideal candidate thrives in a fast-paced environment, demonstrates strong investigative skills, and can collaborate effectively with technical teams, business stakeholders, and leadership. Essential Duties & Responsibilities • Solution Development & BI Architecture, • Participate across the full solution lifecycle: business case, planning, design, development, testing, migration, and production support., • Analyze large and complex datasets with accuracy and attention to detail., • Collaborate with users to develop effective metadata and data relationships., • Identify reporting and dashboard requirements across business units., • Determine strategic placement of business logic within ETL or metadata models., • Build enterprise data warehouse metadata/semantic models., • Design and develop unified dashboards, reports, and data extractions from multiple data sources., • Develop and execute testing methodologies for reports and metadata models., • Document BI architecture, data lineage, and project report requirements., • Provide technical specifications and data definitions to support the enterprise data dictionary., • Data Analysis, Modeling & Process Optimization, • Apply analytical skills to understand business processes, financial calculations, data flows, and application interactions., • Identify and implement improvements, workarounds, or alternative solutions related to ETL processes, ensuring integrity and timeliness., • Create UI components or portal elements (e.g., SharePoint) for dynamic or interactive stakeholder reporting., • Download and process SQL database information to build Power BI or Tableau reports (including cybersecurity awareness campaigns)., • Highly self-motivated with strong organizational skills and ability to manage multiple verbal and written assignments., • Experience collaborating across organizational boundaries for data sourcing and usage., • Analytical understanding of business processes, forecasting, capacity planning, and data governance., • Proficient with BI tools (Power BI, Tableau, PBIRS, SSRS, SSAS)., • Strong Microsoft Office skills (Word, Excel, Visio, PowerPoint)., • High attention to detail and accuracy., • Ability to work independently, demonstrate ownership, and ensure high-quality outcomes., • Strong communication, interpersonal, and stakeholder engagement skills., • Deep understanding that data integrity and consistency are essential for adoption and trust., • Bachelor's degree in Computer Science, Mathematics, or Statistics (or equivalent experience)., • 3+ years of BI development experience., • 3+ years with Power BI and supporting Microsoft stack tools (SharePoint 2019, PBIRS/SSRS, Excel 2019/2021)., • 3+ years of experience with SDLC/project lifecycle processes., • 3+ years of experience with data warehousing methodologies (ETL, Data Modeling)., • 3+ years of VBA experience in Excel and Access., • Strong ability to write SQL queries and work with SQL Server 2017-2022., • Experience with BI tools including PBIRS, SSRS, SSAS, Tableau., • Strong analytical skills in business processes, financial modeling, forecasting, and data flow understanding., • Critical thinking and problem-solving capabilities., • Experience producing high-quality technical documentation and presentations., • Medical coverage and Health Savings Account (HSA) through Anthem, • Dental/Vision/Various Ancillary coverages through Unum, • 401(k) retirement savings plan, • Paid-time-off options, • Company-paid Employee Assistance Program (EAP)