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Piedmont Gardens, a 5-Star HumanGood Community in Oakland, CA is seeking an experienced Assistant Living (AL) Manager. Under general supervision of the AL Director, the AL Manager leads and manages the care & services team of twenty Resident Assistants, and serves as a member of the community’s leadership team. Full-time Monday - Friday, 9:00am - 5:00pm (must have availability to support all shifts) ** $65,000 to $80,000/year (DOE) Key duties and responsibilities include, but are not limited to: • Interviewing, hiring, and training associates; planning, assigning/scheduling, coaching, and directing/appraising work performance., • Developing and implementing activities and support programs., • Assisting with marketing of the accommodations and services to prospective residents and families and, • Conducting routine rounds of the community; participating in initial and ongoing resident assessments to help identify needs and changes in residents' condition., • Bachelor’s Degree in a health care, social science, or business discipline, • Minimum 3 years of related experience including supervisory experience working in health care, senior living, or strong service environment; or any equivalent combination of education and training which provides the required skills, knowledge and abilities., • Excellent computer skills and familiar with EHR (Electronic Health Records), • Current CPR certification What's in it for you? As the largest nonprofit owner/operator of senior living communities in California and one of the largest in the country, we are more than just a place to work. We are here to ensure that all we serve are provided with every opportunity to become their best selves as they define it, and this begins with YOU. At HumanGood, we offer the opportunity to be part of something bigger than yourself on top of an incredible package of benefits and perks for our part-time and full-time Team Members that can add up to 40% of your base pay. Full-Time Team Members: • 20 days of paid time off, plus 7 company holidays (increases with years of service), • 401(k) with up to 4% employer match and no waiting on funds to vest, • Health, Dental and Vision Plans- start the 1st of the month following your start date, • $25+Tax per line Cell Phone Plan, • Tuition Reimbursement, • 5 star employer-paid employee assistance program, • Medical benefits start the 1st of the month following your start date, • Matching 401(k), • $25+Tax per line Cell Phone Plan Come see what Piedmont Gardens has to offer! Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

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

Job DescriptionSalary: Senior Software Engineer - Full Stack (Dublin, CA) About SavvyMoney: SavvyMoney is a leading San Francisco East Bay fintech company. We provide integrated credit score and personal finance solutions to over 1,400+ bank and credit union partners nationally. The SavvyMoney solutions integrate with more than 40 digital banking platforms. SavvyMoney was recently recognized by the San Francisco Business Times and the Silicon Valley Journal as one of the "Top 25 Places to Work in the San Francisco Bay Area", and is an Inc. 5000 Fastest Growing Company. Our corporate offices are in Dublin, CA and we offer a hybrid work environment with some days at the corporate office and some days working from home. We are growing our team and looking for a Senior Software Engineer - Full Stack. Working closely with our Chief Architect, responsibilities will include - • Develop high-performing, scalable, and available backend infrastructure., • Contribute to and continually improve our site architecture, feature components, development process, and SDLC tools, and system design., • Translate product requirements and technical designs into well-engineered, low-defect, robust code., • Research new technologies or methodologies that can improve the architecture, user experience, or development process., • Participate in code reviews, listening to feedback while sharing your knowledge with other members of the team., • Collaborate with product, sales, customer-support, and other departments to implement new growth initiatives., • Identify performance bottlenecks while proposing and implementing effective solutions, • Participate in architectural and software development activities, • Good experience working in managing complex releases and code management, • Conduct software analysis, testing, programming, and debugging., • Well versed with usage of any Static code analysis tools to implement Web best practices and standards, • Mentor team to debug and assist in resolving technical spikes, • Work with offshore teams and guide them on development of the product. Education and Experience - • BS/BA in a technical field such as Computer Science or equivalent experience, • Relevant Experience of 8 years designing and implementing Java applications across various phases., • Experience building backend services and distributed systems., • Experience building microservices using Spring Framework., • Experience in using other java libraries to support reactive programming, redis API,AWS SDK, Localstack, is a plus., • Solid Experience in working with AWS Cloud Environment. Understanding and experience working on a broad range of AWS Cloud Services like ECS, Load Balancers, Fargate, S3, IAM Roles, Aurora RDS, Dynamo DB, Lambda, Glue, etc., • Understanding how to use Terraform for IAC is a plus., • Solid grasp of software engineering fundamentals and their practical applications, • Ability to collaborate across multiple teams, on and offshore, and be willing to roll up your sleeves and execute!, • Exposure to Containerization with tools like Docker and Kubernetes is required., • Experience with APIs (REST), • Understanding of client-side JavaScript frameworks, • Knowledge of Agile development practices Base Salary The Annual Base salary for this position will be between $190,000.00 - $200,000.00 based upon experience. We provide • Annual Bonus Potential + Equity Compensation Package, • Flexible Time Off (FTO) - take time off as needed to rest and recharge., • Medical, Dental, Vision 100% premium paid for employee, • Disability/Life Insurance, • Opportunity for learning and career growth with a top Bay Area technology company, • Reimbursement for remote work setup, • Monthly stipend for phone and internet, • Team building events, culture activities, all hands events, • Paid time off to volunteer and serve the community, • Half day Fridays, • 401k matching contribution, • Beautiful California East Bay offices in Dublin, CA SavvyMoneys EEO Statement SavvyMoney relies on cultural and thought diversity to deliver on our goal of financial freedom for all, serving our client's needs and ensuring nondiscrimination in all programs and activities. We continuously seek talented, qualified employees in our operations regardless of race, color, sex/gender, including gender identity and expression, sexual orientation, pregnancy, national origin, religion, disability, age, marital status, citizen status, protected veteran status, or any other protected classification under country or local law. SavvyMoney is proud to be an Equal Employment Opportunity/ Affirmative Action Employer. We are committed to protecting your data. To learn more, please review the SavvyMoney Employee Privacy Policy Notice here

About the Role We are seeking an experienced Senior Applications Manager to lead our SAP functional team and drive the strategic direction of our enterprise applications portfolio. The ideal candidate will have extensive experience managing SAP implementations, upgrades, and support operations, with a strong preference for candidates who have worked with SAP S/4HANA for Fashion and Vertical Business. You’ll Make a Difference By Team Leadership & Management • Leading and managing a team of SAP functional consultants across multiple modules (FI/CO, MM, SD, etc.), • Providing strategic direction, mentorship, and professional development for team members, • Conducting performance evaluations, setting goals, and managing resource allocation across projects, • Overseeing the design, configuration, and optimization of SAP systems to meet business requirements, • Managing SAP system upgrades, patches, and enhancement implementations, • Ensuring system stability, performance, and availability through proactive monitoring and support, • Collaborating with business stakeholders to understand requirements and translating them into SAP solutions, • Partnering with IT leadership to align SAP strategy with the overall technology roadmap, • Providing thought leadership on SAP best practices and industry trends, • Leading SAP-related projects from initiation through post-implementation support, • Coordinating with technical teams on integrations, custom developments, and data migration About You • Bachelor’s degree in Information Technology, Computer Science, Business Administration, or related field, • 10+ years of experience working with SAP ERP systems, • 5+ years of experience managing SAP functional teams, • Deep functional knowledge across multiple SAP modules (minimum 2–3 modules), • Proven track record of successful SAP implementations, upgrades, or transformations, • Strong understanding of business processes and how SAP supports them, • Excellent leadership, communication, and stakeholder management skills, • Experience with project management methodologies (Agile, Waterfall, SAP Activate), • Experience with SAP S/4HANA for Fashion and Vertical Business (FMS), • S/4HANA implementation or migration experience, • Knowledge of SAP Fiori, SAP Analytics Cloud, or other SAP cloud solutions, • Experience in retail, apparel, or fashion industry, • SAP certifications in relevant modules or areas, • Experience with ITIL or other IT service management frameworks, • Knowledge of integration technologies (SAP PI/PO, CPI, APIs) About Ariat Ariat is an innovative, outdoor global brand with roots in equestrian performance. We develop high-quality footwear and apparel for people who ride, work, and play outdoors, and care about performance, quality, comfort, and style. The salary range for this position is $160,000 - $180,000 per year. The salary is determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data for geographic locations. Ariat in good faith believes that this posted compensation range is accurate for this role at this location at the time of this posting. This range may be modified in the future. Ariat’s holistic benefits package for full-time team members includes (but is not limited to): • Medical, dental, vision, and life insurance options, • Expanded wellness and mental health benefits, • Paid time off (PTO), paid holidays, and paid volunteer days, • 401(k) with company match, • Bonus incentive plans, • Team member discount on Ariat merchandise Note: Availability of benefits may be subject to location & employment type and may have certain eligibility requirements. Ariat reserves the right to alter these benefits in whole or in part at any time without advance notice. Ariat will consider qualified applicants, including those with criminal histories, in a manner consistent with state and local laws. Ariat is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis protected under federal, state, or local law. Ariat is committed to providing reasonable accommodations to candidates with disabilities. If you need an accommodation during the application process, email . Please see our Employment Candidate Privacy Policy at to learn more about how we collect, use, retain and disclose Personal Information. Please note that Ariat does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Agreement, Ariat will not consider or agree to payment of any referral compensation or recruiter/agency placement fee. In the event a recruiter or agency submits a resume or candidate without a previously signed Agreement, Ariat explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted directly to hiring managers, are deemed to be the property of Ariat.

Mercor is seeking Computer Science PhDs for a premier project with one of the world's top AI labs. This role pays between $65-75/hour. 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 Computer Science from a top US university. - 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 10-20 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 September 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.

Mercor is hiring experienced Go 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 Go 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 Go - 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 - $90 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!

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!

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 hiring experienced frontend 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 React, TypeScript, or JavaScript 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 frontend engineer - Degree in Software Engineering, Computer Science, or a related field - Strong proficiency in React, Typescript or Javascript - 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 - $90 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!

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 real-world engineering work—including environment configuration, database design, and the creation of scalable APIs and service layers that interface with advanced AI models. * * * You are good fit if you: - Have experience using coding agents as part of your software engineering workflow. - Have 3+ years of elite software engineering experience from top-tier technology startups, quantitative trading firms, hedge funds, or similarly demanding environments. - Hold a Computer Science degree from a prestigious university. - Have demonstrated success leading teams to build complex database schemas. - Possess expert-level proficiency in API development, including creation, testing, and integration. - Are highly skilled in SQL and database structuring. - Demonstrate exceptional attention to detail and rigorous problem-solving skills. - Excel in both written and verbal communication. * * * About the Role - This project will be a high-impact 24-hour sprint that will start in the next 1-2 weeks - This role would offer a task-based pay (top performers in the previous iteration made upwards of $1000 in the sprint) * * * 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!

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. * * *

About the Hiring Team Business Development Department is dedicated to fostering connections between Tencent and top-tier game developers worldwide, catering to a diverse network of over 100 global investment partners and developers. Our primary objective is to enhance Tencent's global presence in the internet ecosystem as well as gaming sector, identifying business prospects and supporting investment partners in achieving sustainable growth. We are actively seeking exceptional talent globally to join our dynamic team. By building a strong global talent network, we aim to strengthen and expand Tencent's partnerships with more partners worldwide while nurturing high-quality games for the market. What the Role Entails Tencent Games was established in 2003. We are a leading global platform for game development, operations and publishing, and the largest online game community in China. Tencent Games has developed and operated over 140 games. We provide cross-platform interactive entertainment experience for more than 800 million users in over 200 countries and regions around the world. Honor of Kings, PUBG MOBILE, and League of Legends, are some of our most popular titles around the world. Meanwhile, we actively promote the development of esports industry, work with global partners to build an open, collaborative and symbiotic industrial ecology, and create high-quality digital life experiences for players. As a Strategic BD and Investment Manager, you will: • Lead frontline engagement with US and AI/tech or AI+ application companies to identify collaboration opportunities and establish long-term partnerships;, • Identify and evaluate high-potential investment opportunities and strategic partnerships at the intersection of Tech/AI and Games/Entertainment. More importantly, drive development of new opportunities and incubate new businesses, • Act as the primary external-facing representative to bridge Tencent’s internal teams (studios, tech platform) with external innovators and ecosystem players., • Monitor and analyze emerging technology and AI trends in gaming and entertainment. Develop and maintain a strategic framework for market analysis and opportunity assessment;, • Work directly with senior management across global AI and games markets., • Work in a team with high-calibre executives previously from top-tier consultancy firms and investment banks., • You will be responsible for supporting decision-makings for executives and leaders of business groups., • Provide game changing strategy and inspire out-of-the-box thinking to senior leader., • Plan and manage business incubation, drive product innovation and new partnerships, develop and execute go-to-market plan. Who We Look For: • Have more than 3 years of work experience in tech investment or strategy consulting, preferably with a focus on gaming/entertainment or TMT industries. An advanced degree in Computer Science, Engineering or a similar field is a strong plus., • Demonstrate strategic vision, business insights and in-depth knowledge of emerging technologies and market trends (particularly AI applications in gaming)., • Proficiency in analyzing market data, financial metrics, and technology trends to identify promising opportunities in game tech/AI., • Must be a self-starter, capable of navigating ambiguity and driving investment strategies from ideation to execution, while collaborating with cross-functional teams., • Effective team players with excellent communication and interpersonal skills., • Exceptional proficiency with MS Excel & PowerPoint; working knowledge of statistics and analysis packages. Location State(s) US-California-Palo Alto The expected base pay range for this position in the location(s) listed above is $100,300.00 to $233,200.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company’s 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee’s tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

We are a group of people united by a strong purpose. We want you to get to know us, and Giuseppe, our very own artificial intelligence. We love good food, but above all, we love the planet, and that's why, to protect it, we reinvent the food industry, one delicious bite at a time, elevating what we eat, through our technology and based on plants. Our recipe has three mega-important components: science, technology, and of course, disruptive talents who work daily to create a better future. At NotCo we are not and do not seek to be the perfect company, but rather the right one. We are here to produce changes, and that is why we dare, fail, and sometimes achieve incredible successes. We are currently looking for a Product Development Scientist for our NotCo B2B Research & Development located in San Francisco, California, requiring an active on-site presence. This position will report to our R&D Sr. Team Lead and the incumbent will work cross-functionally to ensure R&D activities are successfully deployed locally. Responsible for the: • Independently conducts day-to-day product development activities as directed by the manager across multiple projects. This includes supporting activities related to the full product lifecycle process (from product concept to successful commercial launch as needed)and supporting process development, scale-up and technology transfer, • Supports the design and execution of bench-top tests, pilot-plant trials and full-scale formulations to deliver high-quality food products that meet and exceed the sensory, cost, and other performance targets, • Proactively proposes and uses sensory and analytical analysis to guide and validate the development process, • Maintains detailed documentation, experiment tracking and outcomes, and documents finished goods and ingredient specifications, • Provides feedback to project lead regarding relevant technical and process information, • Communicates proactively and effectively with cross-functional teams, clearly articulating perspectives and trade-offs related to new product development goals, • Utilizes NotCo’s proprietary AI technology to develop and improve food products, • Supports formula validation activities as well as process development, scale-up and technology transfer, • Engages in client communications and workshops, bringing technical, • Maintains detailed documentation across all R&D activities in a timely manner Qualifications / Requirements: • Bachelor’s degree in Food Engineering, Food Science, Engineering in Biotechnology or a similar discipline., • 2 + years of Food R&D experience is desired, preferably across both food and beverage categories., • Be agile, adaptable, and thrive in a dynamic and changing culture; works relentlessly to overachieve, anticipate obstacles, and create plans to overcome them., • Adapts easily to changing priorities and direction based on new project learnings and team priorities., • Demonstrated competency to effectively communicate (oral & written) cross-functionally with solid collaboration skills., • Comfortable in client-facing situations and able to communicate complex topics clearly and simply., • Excel in a startup environment, is excited to create new procedures and processes from scratch and has a strong entrepreneurial mindset., • Be a problem solver, have a general manager mindset, and take the initiative to get the job done, • Possess strong planning, project management, and execution skills, and the ability to articulate where and how you have used them., • Rigorous data-driven/analytical capability and ability and presence to present data effectively to a leadership team, • Work well in teams and cross-functional groups in a matrixed environment, both regionally and globally, • Possesses strong computer skills, including a high level of proficiency in MS Office, specifically Excel, • Authorization to work in the U.S. is required, • Ability to travel up to 50% of the time, including international travel and extended trips. NotCo is committed to fair and equitable compensation practices. The pay range for this role is $65,000 - $75,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

MatchPoint is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry specific best practices and expertise. We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you! Principal TPM (Infrastructure) Job Description: Our work at our client is dedicated towards a computing model passionate about visual and AI computing. For two decades, CLIENT has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also proven to be unbelievably effective at solving some of the most sophisticated problems in computer science. Today, CLIENT’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. Artificial intelligence is no longer science fiction. And in the next few years, it will transform every industry. As the Technical Program Manager (TPM) in our Infrastructure-RESS IT PMO team, will be responsible for leading IT infrastructure programs for office and lab projects: new build, expansion, retrofit, relocation and de-commissioning. You will clarify and challenge objectives, develop roadmaps, assess the complexity and risks, unblock as needed, and partner with highly skilled technical resources to deliver quality solutions with agility and speed. In partnership with senior IT leaders, you will be responsible for global execution of your programs, ensuring consistency and timely execution in line with our PMO processes. You are required to inspect and assess programs’ health; provide input for improvements needed or seek support in a timely manner for quick resolution. What you'll be doing: • Lead multiple, concurrent, large and complex programs or projects, • Lead the planning, execution, and monitoring of CLIENT site IT infrastructure, • Develop project plans along with agreed upon timelines, provide cost estimations, procure IT assets required for the infrastructure programs, guide implementation or deployment of IT assets on site, track timelines, ensure thorough UAT is conducted at the site and do spot tests as TPM, provide hyper care with all functional teams and resolve UAT issues, and ensure adherence to project objectives, • Work with project owners to identify project scope, define success criteria, build and manage project budget, and outline resource requirements, • Identify & manage multi-functional dependencies, • Main responsibilities include collaborating with the real estate and facilities leadership group within the region, coordinating with various IT teams such as network active, network passive, storage, compute, end-user support & A/V, procuring required IT assets for all functions and participating in the setup and management of labs and infrastructure at different sites across North America, • Communicate with stakeholders regularly to manage expectations and to provide project updates on scope, budget, and velocity, • Involve project steering committee for guidance and key decisions, • Provide quality status reports consistently, • Interact and collaborate with multi-functional teams and different org levels What we need to see: • Bachelor’s degree in computer science or other related technical subject area (or equivalent experience), • 12-15 years of IT experience. 10+ years of Technical Program Management experience successfully leading IT Infrastructure programs in a fast paced, multi-faceted, enterprise environment, • Ability to drive large transformation programs at scale & behave as an owner, • Collaborate with internal teams, external vendors, and business partners to gather requirements, address concerns, and ensure alignment with project objectives, • Champion effective communication and lead collaborator expectations throughout the project lifecycle, • Agile execution expertise is a must. Use of Atlassian tools such as Jira and / or Jira Align is a must, • Proven track record of delivering solutions when needed, while navigating a fast-paced environment with frequent shifts in priorities., • Strong communication skills both written and verbal/presentations. Ability to bridge from high-level objectives to project details and vice-versa. Ability to produce good Status Reports on a weekly and monthly basis. A good command over English language is a must, • Ability to engage with IT & business leaders to unblock/advance projects as needed. Strong stakeholder management skills are required, • Willingness to work with distributed team members across different time zones, • Ability to work with AI tools such as: Co-pilot, Gemini, Chat GPT, Perplexity, Cursor, etc., • Business travel is required, with an estimated travel of once a quarter, for about a week, primarily to locations within North America

We are seeking a Cybersecurity Risk Analyst to support managing and mitigating security risks across processes, technologies, and cloud environments. The ideal candidate will combine technical expertise, business acumen, and cybersecurity experience to advise partners, assess risks, and drive improvements in secure operations. This role requires hands on experience with Kusto Query Language (KQL), cloud security, and risk assessment, as well as the ability to communicate effectively with stakeholders at all levels. Must be local to San Francisco or Los Angeles (LA) or Salt Lake City (SLC). Responsibilities: • Support risk strategies by identifying and mitigating security risks in bank systems and processes., • Apply and interpret security policies, provide guidance and input on policy enhancements., • Advise business and technical partners on security controls, procedures, and best practices., • Assess cloud and on-prem environments to identify risks and recommend control improvements., • Conduct security control assessments, document findings, and develop actionable remediation plans., • Evaluate third-party vendors to determine shared security responsibilities and associated risks., • Communicate security risks and mitigation strategies effectively to technical teams and executives., • Collaborate across teams to drive secure operations and deliver results in a fast-paced environment. Qualifications: • Bachelor’s degree in Cybersecurity, Information Security, Computer Science, or related technical discipline (or equivalent experience)., • 3+ years of experience in cybersecurity, information security, or technology risk management., • Proficiency in Kusto Query Language (KQL) for data analysis, log correlation, and threat detection., • In-depth understanding of security frameworks such as NIST, ISO 27001, or FedRAMP., • Demonstrated experience assessing and improving security posture across Cloud (Azure, AWS) and on-premises environments., • Proven ability to conduct security control assessments, identify risk exposures, and develop actionable remediation plans., • Skilled at translating technical security concepts into clear, business-relevant insights for stakeholders and executives., • Excellent communication, collaboration, and interpersonal skills, with a focus on building trusted partnerships across technical and business teams., • Strong organizational and analytical skills, with the ability to manage multiple initiatives in a fast-paced, results-driven environment.

• ATTN - PLEASE READ CAREFULLY: WE CAN NOT SPONSOR NEW VISAS OR TRANSFER EXISTING VISAS. AT THIS TIME WE'RE ONLY CONSIDERING US CITIZENS OR GC HOLDERS., • WE’RE LOOKING FOR SOMEONE WHO HAS SIGNIFICANT APPLICATION SECURITY EXPERIENCE—SOMEONE WHO HAS DESIGNED SECURE ARCHITECTURES, IMPLEMENTED CONTROLS ACROSS THE SDLC, AND PROACTIVELY IDENTIFIED AND MITIGATED VULNERABILITIES IN LARGE-SCALE DISTRIBUTED SYSTEMS., • THE SUCCESSFUL CANDIDATE SHOULD ALSO HAVE A STRONG TRACK RECORD OF PARTNERING WITH ENGINEERING TEAMS TO IMPROVE OVERALL SECURITY POSTURE THROUGH ARCHITECTURAL GUIDANCE, SECURE CODING BEST PRACTICES, AND CONTINUOUS SECURITY EDUCATION. Picture a company redefining how life sciences harness data — one that turns the noise of fragmented scientific systems into the clarity that accelerates discovery, development, and ultimately, human progress. This Scientific Data Cloud pioneer has built a cloud-native ecosystem engineered specifically for the life sciences, connecting laboratory instruments, informatics systems, and analytics applications into a single, intelligent network. The result: harmonized, actionable scientific data that transforms R&D velocity and precision across discovery, development, and manufacturing. Trusted by the world’s leading biopharma innovators, their open platform serves as the digital nervous system for scientific operations — empowering researchers and partners to unlock insights at unprecedented scale. Think of it as the Palantir of Life Sciences — designed not just to visualize complexity, but to ingest and process petabytes of scientific data through advanced taxonomies and ontologies that bring structure, context, and meaning to an otherwise chaotic scientific landscape. Through deep collaborations with global leaders in cloud computing and AI, this company is building the foundation for a new era of Scientific Intelligence — one where every experiment, every dataset, and every discovery is connected, contextualized, and exponentially more powerful than before. Senior & Lead Application Security Engineers We’re looking for a hands-on Product Security Technical Lead to drive the design, implementation, and evolution of our security engineering program. You’ll lead a team of Security Engineers focused on hardening our SaaS and data platforms by breaking things before attackers do — identifying vulnerabilities, building secure infrastructure, and integrating protection across our CI/CD pipelines. This role demands deep technical expertise across AWS, Python, and application & cloud security, along with a hacker’s curiosity and a builder’s discipline. Why This Role: • You’ll have complete ownership of product and cloud security from architecture to execution., • You’ll lead by doing — hacking, breaking, and building resilient systems., • Be part of a company where security isn’t an afterthought — it’s a product feature. Job Responsibilities • Own and evolve the organization’s entire application security posture, with a focus on application and cloud security across all product lines., • Perform offensive and defensive security assessments — threat modeling, code review, penetration testing, and vulnerability exploitation., • Build and integrate automated security tooling (SAST, DAST, dependency scanning, IaC scanning) into CI/CD pipelines., • Develop security automation and internal tooling using Python, Bash, or Go., • Partner with Engineering, DevOps, and Infrastructure teams to ensure secure AWS architectures (VPC, IAM, KMS, GuardDuty, CloudTrail, WAF)., • Oversee incident response and root cause analysis for product and infrastructure-level security events., • Define and enforce secure coding standards, and lead threat modeling sessions for critical features and services., • Continuously hunt for vulnerabilities, test assumptions, and “break things safely” to strengthen the platform. Preferred Qualifications: • Certifications such as AWS Certified Security – Specialty, OSCP, or CISSP., • Experience in SaaS, Big Data, or high-scale distributed environments., • Knowledge of MITRE ATT&CK, OWASP Top 10, and secure software design principles. Required Skills & Experience: • 8+ years of hands-on experience in Application, Cloud, or Product Security roles, with lead or staff-level responsibilities., • Deep expertise in AWS security architecture and service hardening., • Advanced programming and scripting ability in Python (Bash or Go a plus)., • Proven experience with offensive security: hacking, exploit analysis, or red team operations., • Strong foundation in vulnerability management, threat modeling, and incident response., • Proficient with DevSecOps tools and modern CI/CD environments., • Familiarity with container and orchestration security (Docker, Kubernetes, EKS). Required Education • Bachelor's degree in computer science or another equivalent degree.

We’re supporting a major global financial technology organization that’s making significant investments in AI innovation. They’re scaling their engineering teams across North America to drive development of next-generation Generative AI solutions. Multiple openings are available for engineers at varying levels — from early-career developers to senior leads and architects — across areas like AI platform engineering, chatbot development, and data engineering for AI-driven systems. Why This Role This is a chance to be part of a global enterprise that’s putting real resources behind AI strategy — building tools, platforms, and models that impact client experiences and internal productivity at scale. You’ll join a high-performing engineering group that’s delivering enterprise-grade AI capabilities across multiple business lines. What You’ll Do • Build and enhance production-grade AI and LLM-based systems for enterprise applications., • Contribute to model fine-tuning, prompt optimization, and training workflows., • Develop APIs, microservices, and SDKs for internal and client-facing AI products., • Collaborate with engineering and data teams to operationalize AI solutions and support MLOps/LLMOps processes., • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent practical experience)., • 4+ years of hands-on Python development experience., • Strong understanding of Generative AI, LLMs, and related model architectures., • Experience working with NLP, model training, and fine-tuning workflows., • Hands-on experience with frameworks like Flask, Django, or FastAPI., • Familiarity with Python libraries such as numpy, pandas, scikit-learn, matplotlib, or opencv., • Experience deploying AI solutions using cloud services like Azure OpenAI, AWS Bedrock, AWS Sagemaker, or Google Vertex AI., • Background in AI/ML lifecycle management — MLflow, Databricks, or Dataiku., • Understanding of MLOps or LLMOps principles., • Exposure to TensorFlow or PyTorch., • Experience integrating AI models into enterprise or regulated environments., • Familiarity with containerized cloud environments (Docker, Kubernetes)., • Version control experience with GitHub or Bitbucket., • Bonus: experience working with conversational AI platforms (e.g., Copilot Studio, Kore.ai, Amelia)., • Join an organization that’s putting real investment behind AI and automation initiatives., • Work on cutting-edge technology in a large-scale, data-rich environment., • Collaborate with top-tier engineers and data scientists driving AI innovation in financial technology., • Opportunities for career growth across multiple teams and projects.

Top technology incubator focused on building and investing in generation-defining companies are looking for a CTO with 7+ years experience to serve as their senior-most technical leader. This role is for a founder-CTO type who has built and scaled products from zero to one and from one to many. We are looking for someone equally comfortable in the boardroom and hands-on keyboard, who will own the technology strategy for the platform, build and lead internal teams, and work directly with founders and operators across the firms portfolio. What will you be doing? • Set a unified technology strategy, • Partner with founders in incubation and early-stage ventures on product, architecture, and early technical hiring., • Architect shared systems, data infrastructure, and internal tools used across operating companies., • Drive the development of AI agents, automation workflows, and vertical AI tools for real businesses., • Build and lead a cross-functional team spanning software engineering, AI/ML, data, and product. What we’re looking for: • Bachelor or Masters degree from a top 30 university in Computer Science or similar, • 7+ years of experience as CTO, VP of Engineering, or Founding Engineer at a high- growth start-up or medium-sized technology company, • Experience in incubators or venture studios, • Deep expertise in software architecture, distributed systems, and/or data platforms., • Meaningful experience with AI/ML and modern LLM ecosystems., • Networks in top- tier engineering and AI/ML talent pools. This would predominantly be an onsite role in either San Francisco or New York. Compensation is highly competitive and contingent on experience. Will include competitive equity.

Our client is a well-funded, product-focused AI startup building next-generation systems that help organizations capture, organize, and leverage their internal knowledge at scale. Their platform blends modern machine learning, intelligent data pipelines, and context-aware models to make teams more effective, faster, and dramatically more aligned. They're growing quickly and looking for engineers with strong CS fundamentals and a passion for building ML systems that operate in the real world, not just in research settings. If you’re energized by early-stage ownership and solving hard problems that matter, you’ll thrive here. What You’ll Work On • Designing and shipping ML components end-to-end: training pipelines, data ingestion, evaluation, optimization, and deployment, • Building models and services that learn from unstructured signals (text, docs, conversations, workflows) and surface actionable insights, • Transforming research concepts into scalable production systems used by enterprise customers, • Architecting efficient, privacy-conscious model-serving infrastructure, • Collaborating across engineering, product, and research to rapidly experiment and iterate, • Owning technical decisions in a fast-paced environment where craftsmanship and velocity both matter Who Thrives Here • Engineers with strong computer science foundations (algorithms, systems, distributed computing, data structures), • Builders with experience in ML frameworks (PyTorch, TensorFlow, JAX) and modern backend systems, • Candidates coming from top CS programs or AI-first startups where they’ve shipped real, user-facing ML/AI features, • People who enjoy working in ambiguous, zero-to-one environments and want significant ownership, • Curious thinkers who care about model performance, reliability, and how their work impacts real users, • Bonus skills (not required): experience with LLMs, embeddings, personalization models, agentic workflows, or model evaluation at scale Why This Role Is Compelling • You’ll build foundational AI systems at a moment where the company is scaling quickly, • Your work will directly shape how customers interact with and benefit from AI, • You’ll partner closely with experienced founders and senior engineers who value autonomy and deep thinking, • You’ll have room to experiment, influence architecture, and meaningfully impact technical direction, • You’ll join early enough to feel the upside, but after core customer traction is already proven What's On Offer • A high-ownership engineering role with scope to grow into senior or staff pathways, • A culture that balances speed with thoughtful engineering, • Mission-driven work with clear real-world utility, • Competitive compensation, strong equity, and flexibility in how you build If you’re excited by the idea of building intelligent systems that help real teams work smarter, and you want your engineering decisions to matter, we’d love to talk.

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Please visit ___ for more information about Fractal. Fractal is looking for a proactive and driven AWS Lead Data Architect/Engineer to join our cloud and data tech team. In this role, you will work on designing the system architecture and solution, ensuring the platform is scalable while performant, and creating automated data pipelines. Responsibilities: • Design & Architecture of Scalable Data Platforms, • Design, develop, and maintain large-scale data processing architectures on the Databricks Lakehouse Platform to support business needs, • Architect multi-layer data models including Bronze (raw), Silver (cleansed), and Gold (curated) layers for various domains (e.g., Retail Execution, Digital Commerce, Logistics, Category Management)., • Leverage Delta Lake, Unity Catalog, and advanced features of Databricks for governed data sharing, versioning, and reproducibility., • Client & Business Stakeholder Engagement, • Partner with business stakeholders to translate functional requirements into scalable technical solutions., • Conduct architecture workshops and solutioning sessions with enterprise IT and business teams to define data-driven use cases, • Data Pipeline Development & Collaboration, • Collaborate with data engineers and data scientists to develop end-to-end pipelines using Python, PySpark, SQL, • Enable data ingestion from diverse sources such as ERP (SAP), POS data, Syndicated Data, CRM, e-commerce platforms, and third-party datasets., • Performance, Scalability, and Reliability, • Optimize Spark jobs for performance tuning, cost efficiency, and scalability by configuring appropriate cluster sizing, caching, and query optimization techniques., • Implement monitoring and alerting using Databricks Observability, Ganglia, Cloud-native tools, • Security, Compliance & Governance, • Design secure architectures using Unity Catalog, role-based access control (RBAC), encryption, token-based access, and data lineage tools to meet compliance policies., • Establish data governance practices including Data Fitness Index, Quality Scores, SLA Monitoring, and Metadata Cataloging., • Adoption of AI Copilots & Agentic Development, • Utilize GitHub Copilot, Databricks Assistant, and other AI code agents for, • Writing PySpark, SQL, and Python code snippets for data engineering and ML tasks., • Generating documentation and test cases to accelerate pipeline development., • Interactive debugging and iterative code optimization within notebooks., • Advocate for agentic AI workflows that use specialized agents for, • Data profiling and schema inference., • Automated testing and validation., • Innovation and Continuous Learning, • Stay abreast of emerging trends in Lakehouse architectures, Generative AI, and cloud-native tooling., • Evaluate and pilot new features from Databricks releases and partner integrations for modern data stack improvements. Requirements: • Bachelor’s or master’s degree in computer science, Information Technology, or a related field., • 8-12 years of hands-on experience in data engineering, with at least 5+ years on Python and Apache Spark., • Expertise in building high-throughput, low-latency ETL/ELT pipelines on AWS/Azure/GCP using Python, PySpark, SQL., • Excellent hands on experience with workload automation tools such as Airflow, Prefect etc., • Familiarity with building dynamic ingestion frameworks from structured/unstructured data sources including APIs, flat files, RDBMS, and cloud storage, • Experience designing Lakehouse architectures with bronze, silver, gold layering., • Strong understanding of data modelling concepts, star/snowflake schemas, dimensional modelling, and modern cloud-based data warehousing., • Experience with designing Data marts using Cloud data warehouses and integrating with BI tools (Power BI, Tableau, etc.)., • Experience CI/CD pipelines using tools such as AWS Code commit, Azure DevOps, GitHub Actions., • Knowledge of infrastructure-as-code (Terraform, ARM templates) for provisioning platform resources, • In-depth experience with AWS Cloud services such as Glue, S3, Redshift etc., • Strong understanding of data privacy, access controls, and governance best practices., • Experience working with RBAC, tokenization, and data classification frameworks, • Excellent communication skills for stakeholder interaction, solution presentations, and team coordination., • Proven experience leading or mentoring global, cross-functional teams across multiple time zones and engagements., • Ability to work independently in agile or hybrid delivery models, while guiding junior engineers and ensuring solution quality, • Must be able to work in PST time zone. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $150k - $180k. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Salesforce Marketing Cloud Consultant (Contract-to-Hire) Location: San Francisco, CA (Hybrid — 3 Days Onsite / 2 Days Remote) Contract Type: 6 Month - Contract to Hire Pay Rate: Up to $115/hour Overview We are seeking a highly skilled Salesforce Marketing Cloud Consultant to join our client’s dynamic marketing technology team in San Francisco, CA. This is a contract-to-hire opportunity for a hands-on consultant who thrives in hybrid environments (3 days onsite, 2 remote). The ideal candidate will have a proven ability to collaborate seamlessly with Marketing Cloud Engineers, drive cross-cloud integrations, and design data-driven campaigns that enhance customer engagement. Experience with AMPscript, Journey Builder, and data automation is essential, and a Platform Developer II certification is highly preferred. Responsibilities • Partner with Marketing Cloud Engineers to design and implement multi-channel marketing automation strategies., • Build, configure, and optimize Journeys, Automations, and Email Campaigns in Salesforce Marketing Cloud., • Ensure seamless data integration between Marketing Cloud, Sales Cloud, and Data Cloud environments., • Collaborate with cross-functional stakeholders to translate business goals into scalable marketing automation solutions., • Create and maintain audience segmentation, subscriber management, and data extensions to improve targeting accuracy., • Leverage AMPscript and SQL to personalize communications and enhance engagement., • Participate in the end-to-end campaign lifecycle — from design to testing, deployment, and performance reporting., • Support the ongoing optimization of the Marketing Cloud platform, ensuring best practices in data hygiene, compliance, and automation efficiency., • Work collaboratively within an Agile/Scrum framework, providing input into sprint planning and retrospectives. Qualifications • 5+ years of Salesforce Marketing Cloud experience with a strong focus on Journey Builder, Automation Studio, Email Studio, and Marketing Cloud Connect., • Hands-on experience working collaboratively with Marketing Cloud Engineers and Developers on cross-cloud projects., • Solid understanding of data models, APIs, and MuleSoft or other integration frameworks., • Proficiency with AMPscript, SQL, HTML/CSS, and custom personalization logic., • Strong business acumen and communication skills; able to act as a bridge between marketing and technical teams., • Salesforce Platform Developer II certification preferred (Marketing Cloud or App Builder certifications are a plus)., • Bachelor’s degree in Computer Science, Marketing, or related field. Contract Details • Type: Contract-to-Hire, • Duration: Initial 6-month contract with strong potential for full-time conversion, • Schedule: Hybrid — 3 days onsite / 2 remote (San Francisco, CA), • Rate: Up to $115/hour

Head of Platform, Bridge Analytics Location: South San Francisco, CA (Hybrid, 2 days/week in office) Organization: Bridge Analytics Level: Sr. Director About Bridge Analytics Bridge Analytics is a new, not-for-profit organization with a vital mission: to accelerate the development of therapies for Central Nervous System (CNS) disorders. We are a core component of the ambitious CNS Quest, a large-scale initiative dedicated to catalyzing progress in scientific discovery and creating more therapeutic opportunities for people with Parkinson's disease, profound autism, and bipolar disorder. We believe that the key to unlocking new treatments lies within the vast and complex biomedical data generated by pioneering research. Our vision is to build a world-class analytical ecosystem that makes it easier for researchers and therapy developers to access, analyze, and collaborate with data. We are the tide that raises all boats, enabling open science and empowering the world’s leading researchers with the tools they need to make breakthrough discoveries. By taking on the complex challenges of data infrastructure, harmonization, and long-term stewardship, we allow the scientific community to focus on what it does best: moving science forward. The Opportunity We are seeking a visionary and experienced Head of Platform to lead the strategy, development, and delivery of the Bridge Analytics Environment (BAE). This is a unique opportunity to build a foundational data platform that will serve as the central hub for data from some of the most important longitudinal clinical studies in the neuroscience field. You will be the single-threaded owner of a platform designed not just for data storage, but for active discovery. The BAE will empower researchers to perform advanced, cross-cohort analyses, share code and workflows, and ultimately, accelerate the journey from data to life-changing therapies. As a leader in a lean and mission-driven organization, you will be instrumental in shaping our technical strategy, our team, and our impact on the world. What You'll Do • Own the Vision and Technical Roadmap: Define and drive the strategic vision, product feature roadmap, and technical architecture for the Bridge Analytics Environment (BAE), ensuring it meets the urgent needs of the CNS research community., • Architect a Scalable Ecosystem: Lead the design and implementation of a cutting-edge, cloud-based data ecosystem. Ensure the architecture is scalable, reliable, secure, and capable of handling diverse biomedical data types (pre-clinical, clinical, imaging, sensor, and 'omics)., • Lead and Build a World-Class Team: Recruit, manage, and mentor a high-performing, multi-disciplinary team of Engineers, Technical Program Managers, and Bioinformaticians. Foster a culture of collaboration, continuous learning, innovation, and user-centricity., • Drive Platform Delivery: Be fully accountable for the end-to-end delivery of the platform, from data ingestion and harmonization to the implementation of analysis workspaces and tools for sharing code and reproducible workflows., • Champion a "Buy and Integrate" Strategy: Lead the execution of our "build vs. buy" strategy, which favors integrating best-in-class vendor solutions. You will own the primary relationship with our core platform partners and manage a small portfolio of other vendors to assemble a cohesive, powerful, and sustainable platform., • Forge Strategic Partnerships: Develop and maintain strong collaborative relationships with key data platform owners and users in the ecosystem, including those from the Allen Brain Institute, FNIH AMP PD, and the Gates Alzheimer's Disease Data Initiative, ensuring seamless interoperability and data federation. You help foster collaborative decision-making when other data platforms and users are impacted by your platform choices and changes., • Embed Usability and User Success: Our users are neuroscientists, data scientists, and clinical researchers. Engage users regularly to ensure that their needs are deeply embedded in our product development lifecycle, creating intuitive, reliable, and powerful tools that remove friction from their research process., • Oversee Technical Governance and Compliance: In partnership with our Operations team & Compliance consultants, architect and implement rigorous security measures and technical capabilities that support best practices in data governance. Ensure compliance with the HIPAA Privacy and Security Rule, GDPR, and other relevant regulations,as well as aligning with contractual obligations pertaining to data generation, storage and use. You are responsible for security of systems, data, and technology assets and for security training for your team, and testing, and monitoring of potential security and privacy breaches. Who You Are • An Experienced Technical Platform Leader: You have 15+ years of experience in technology, with a proven track record of architecting, building, and scaling large-scale data platforms, ideally at a Director level or equivalent. An advanced degree in Computer Science, Engineering, Bioinformatics, or a related field is strongly preferred., • Expert in Cloud and Data Technologies: You possess strong expertise in Google Cloud Platform and its native data solutions including data warehousing and analytics (e.g., BigQuery, Vertex AI). You have hands-on experience building software reliant on big data technologies (e.g., Databricks, Snowflake)., • Fluent in the Biomedical Data Domain: You are a champion of FAIR principles, and have deep knowledge of healthcare data standards and sharing patterns (e.g., HL7, FHIR, GA4GH) and extensive experience with diverse biomedical data types. Expertise in bioinformatics topics such as genetics, genomics, proteomics, or neuroimaging is a significant advantage., • A Product-Driven Thinker: You possess a strong product mindset, with deep experience in user research, roadmap development, and agile execution. You are obsessed with understanding user pain points and building elegant solutions., • A Master of Partnerships: You have a demonstrated ability to identify, negotiate with, and manage strategic vendors and partners. You know how to build "win-win" relationships that drive value and accelerate delivery. You forge strong relationships with ecosystem users and can successfully navigate changing needs and competing timelines among users and with your own delivery team., • A Leader of Cross-Functional Teams: You have significant experience managing and integrating the work of diverse technical teams, including software engineering, product management, and program management., • Strategically Minded and Operationally Strong: You can operate at the 30,000-foot level, setting a multi-year vision, while also being comfortable diving into the details of a technical design or a product sprint to unblock your team. You understand and communicate operational and strategic impacts throughout delivery. You are reliable and deliver on your commitments., • Mission-Aligned: You are driven by the desire to have a tangible, positive impact on human health and are excited by the prospect of working in a nimble, not-for-profit environment focused on solving one of society’s most pressing challenges.

⚡ Research Scientist - Data focus 💊 Foundation Models, AI Research Institute 🌎 San Francisco Bay Area, USA 💸 $200,000 - $350,000 salary + bonus Come join a revolutionary AI research lab in SF Bay Area that is poised to develop & publish high-impact breakthroughs in GenAI - across LLMs and Multimodal AI. As part of the team, you’ll work at the intersection of data, large-scale training, and foundation model innovation. You will collaborate with world-class researchers, data scientists, and engineers to solve critical challenges in creating robust, scalable, and reasoning-capable LLMs. Your research will shape the way data is curated, processed, and leveraged to train the next generation of intelligent systems. Responsibilities: • Lead research on data-centric approaches for LLMs, including pretraining corpus design, data valuation, and speculative decoding strategies., • Develop pipelines to process challenging data sources into structured and reproducible training datasets., • Build and optimize agentic data pipelines, integrating retrieval, self-curation, and multi-agent feedback for high-quality training and evaluation data., • Collaborate with researchers on alignment and reasoning-focused training that leverage data-driven approaches for improving LLM capabilities., • Prototype and deploy evaluation frameworks to measure data quality, coverage, and downstream impact on LLM reasoning., • Publish findings at top-tier venues (e.g., NeurIPS, ICLR, ACL, EMNLP) and represent the institute at international conferences., • Contribute to open-source tools, datasets, and benchmarks that advance the global foundation model research community. Requirements: • Master’s degree in Computer Science, Data Science, or a related technical field (PhD strongly preferred), • Experience collecting and curating high-quality text data including multi-lingual data., • Hands-on experience with large-scale dataset curation and preprocessing for ML/LLM training., • Prior works synthesizing complex datasets. Code, math, and agentic data are higher priority, • Experience with ML infrastructure for scalable training, evaluation, and debugging., • Experience at the intersection of data and post-training (RL/SFT), • Proven ability to independently drive research questions related to data quality, scaling, or reasoning. Preferred Experience: • Experience with retrieval-augmented generation (RAG), agentic data pipelines, or reasoning benchmarks., • Contributions to speculative decoding, self-curation, or reinforcement learning from synthetic data., • Background in knowledge graphs, semantic search, or indexing systems., • Strong publication record in leading AI conferences., • Prior contributions to open-source ML data tools or benchmarks., • Prior work on speculative decoding/contributions to LLM serving engines, • Prior work on training LLM-as-a-judge, • Deep expertise with tokenization/training tokenizers Why apply: • Opportunity to build out a new division at the forefront of AI innovation, • FAANG competitive salary & package, • Work alongside superstars from FAANG labs & leading AI companies, • Medical, Dental and Vision Insurance, • Relocation package available 🌎 San Francisco Bay Area, USA 📧 Interested in applying? Please click on the ‘Easy Apply’ button or alternatively email me your resume at

If you’re hands on with modern data platforms, cloud tech, and big data tools and you like building solutions that are secure, repeatable, and fast, this role is for you. As a Senior Data Engineer, you will design, build, and maintain scalable data pipelines that transform raw information into actionable insights. The ideal candidate will have strong experience across modern data platforms, cloud environments, and big data technologies, with a focus on building secure, repeatable, and high-performing solutions. Responsibilities: • Design, develop, and maintain secure, scalable data pipelines to ingest, transform, and deliver curated data into the Common Data Platform (CDP)., • Participate in Agile rituals and contribute to delivery within the Scaled Agile Framework (SAFe)., • Ensure quality and reliability of data products through automation, monitoring, and proactive issue resolution., • Deploy alerting and auto-remediation for pipelines and data stores to maximize system availability., • Apply a security first and automation-driven approach to all data engineering practices., • Collaborate with cross-functional teams (data scientists, analysts, product managers, and business stakeholders) to align infrastructure with evolving data needs., • Stay current on industry trends and emerging tools, recommending improvements to strengthen efficiency and scalability. Qualifications: • Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience)., • At least 3 years of experience with Python and PySpark, including Jupyter notebooks and unit testing., • At least 2 years of experience with Databricks, Collibra, and Starburst., • Proven work with relational and NoSQL databases, including STAR and dimensional modeling approaches., • Hands-on experience with modern data stacks: object stores (S3), Spark, Airflow, lakehouse architectures, and cloud warehouses (Snowflake, Redshift)., • Strong background in ETL and big data engineering (on-prem and cloud)., • Work within enterprise cloud platforms (CFS2, Cloud Foundational Services 2/EDS) for governance and compliance., • Experience building end-to-end pipelines for structured, semi-structured, and unstructured data using Spark.

Join a Leading Applied Research Lab Pushing the Boundaries of Reinforcement Learning Are you passionate about advancing the frontiers of reinforcement learning (RL)? An innovative AI research lab is seeking talented and ambitious scientists to shape the next generation of RL techniques—especially where they intersect with large models and environment generation. About the Role As an AI Research Scientist focused on RL, you will: • Develop novel optimization-based methods for automated RL environment generation, • Establish baselines for evaluating the quality and diversity of RL environments, • Design infrastructure to create dynamic environments from historical datasets and agent evaluations, • Drive your own research agenda, contributing directly to the progress of our platform and the broader AI community What We’re Looking For • PhD (or equivalent experience) in machine learning, computer science or a related field, • Strong publication record and/or evidence of research impact (open source, deployed systems, etc.), • Deep expertise in reinforcement learning and machine learning fundamentals, • Proficient in Python and at least one modern ML framework (such as PyTorch or JAX) Bonus Points • Experience with post-training large language models (LLMs), • Demonstrated software engineering skills, • Ability to communicate research findings effectively to both technical and non-technical audiences

Role Overview: A Product Engineer in this role will focus on building and scaling a high-quality AI agent product with strong UX, full‑stack development, and close user collaboration, and should bring 2+ years of startup experience, strong TypeScript skills, and a deep interest in the AI agent space while helping build “high-taste” products for self-learning AI agents and playing a key role in scaling the product to meet growing customer demand while maintaining an exceptional user experience in a rapidly evolving AI agent ecosystem. Responsibilities • Collaborate closely with a product designer to ship new features and refine existing user flows based on customer feedback., • Engage directly with customers to understand needs, gather feedback, validate ideas, and pitch new features., • Develop core product features across the stack (front-end, back-end, and database work) with a focus on quality and reliability., • Experiment with new features and technologies, build quick demos for the team, and productionize promising solutions., • Contribute to product and design reviews, ensuring the experience is intuitive, polished, and delightful to use. Requirements • 2+ years of experience in product, full‑stack, or front‑end engineering at technology startups (Seed to Series E)., • Proficiency in TypeScript, with experience either across the stack or in front‑end‑leaning roles., • Experience at a high‑taste product company or at an AI/agent‑native startup., • Undergraduate degree in Computer Science, Engineering, or a related field. What we’re looking for • Strong product sense and attention to user experience; you care about how things feel, not just how they work., • High agency and ownership mindset—you proactively find problems, propose solutions, and ship iteratively., • Genuine excitement about the AI agent space and improving agent behavior for real users., • Comfort working in a fast-moving, experimental environment with tight feedback loops from users and teammates.

Company Description Whissle is bridging the missing link in multi-modal AI. We are moving beyond the slow, broken "turn-based" experience of current AI solutions to pioneer Streaming Intelligence. Our platform continuously interprets meaning from live multi-modal input streams (voice, text, visual) to trigger instant, contextual actions and achieve faster task completion. This zero-wait, real-time approach creates a hands-free, hyper-personalized, and ambient interaction experience. Role Description As the VP of Product, Streaming Intelligence, you will be the definitive product owner and strategist for Whissle's core technology and APIs. Your mission is to define, prioritize, and drive the execution of a product roadmap that capitalizes on our Streaming Intelligence differentiator. You will work closely with the CEO, the AI/ML, and Software Engineering teams to transform our advanced models into scalable enterprise solutions. Product Strategy & Vision • Own the Streaming Intelligence Vision: Define the long-term product strategy on Advanced Streaming Intelligence for speech, text, and visual input streams., • Platform Roadmap Leadership: Develop and execute the product roadmap for the Intelligence-API and the Ambient-BOT platform components., • Monetization & Market Expansion: Identify and prioritize the next categories of consumer and enterprise applications—from hyper-personalized search to audio-visual NPC controls—that can be enabled and monetized by our zero-wait technology. Enterprise & Execution • Drive Enterprise Deployment: Oversee the productization and successful deployment of the platform for major enterprise clients, directly contributing to company goals., • Domain Adapter Strategy: Guide the development of domain adapters (e.g., HR, CX, e-commerce) to facilitate specialized enterprise use cases., • Security & Compliance as a Feature: Ensure all products meet high standards for security, data privacy, and compliance (e.g., SOC2/HIPAA), productizing features like real-time redaction and non-storage of sensitive information transmission. Leadership and GTM • Guide the Part-Time PM: Work in partnership with the existing Product Manager to ensure tactical execution, including the launch of the Whissle App v1 and successful paid pilot programs., • Market Leadership: Analyze competitor activities (e.g., turn-based systems like ChatGPT, Gemini, Perplexity) and use these insights to solidify Whissle's differentiated market positioning. Qualifications • 10+ Years of Product Leadership experience, with a proven track record of bringing highly technical B2B/Enterprise products to market., • Deep Technical Expertise in AI/ML, particularly in the areas of speech, language processing, signal processing, or multi-modal AI., • Exceptional Strategic Planning skills, with prior experience scaling a product which needs real-time intelligence, broad technology skills and experience., • Strong Business Acumen in SaaS, enterprise licensing, and API revenue models., • Bachelor's degree in Business, Computer Science, Engineering, or a related field; a Master's or PhD is a strong plus (especially given the team's academic background)., • Experience with building startups will be preferred Compensation We are on-boarding visionary leadership on equity basis before we raise suitable money from investors in the loop.

Head of Machine Learning – Generative AI for the Physical World Overview A rare opportunity has emerged for a visionary Head of Machine Learning to build the core intelligence for a stealth-mode, well-funded AI company. This foundational leadership role is for someone passionate about teaching machines to understand and engineer the physical world, moving beyond language and into the complex domain of 3D geometry and physics. Why Join? This is a chance to define a new category of software from the ground up. You will have the autonomy to set the technical vision, build a world-class team, and solve fundamental AI challenges that directly impact how next-generation products are designed and built. You will be instrumental in creating the "brain" that powers a revolutionary platform. The Company My client is a pioneering startup developing a new class of generative AI. Their platform uses autonomous agents to design, test, and optimize complex physical systems, aiming to radically accelerate today's slow and manual engineering cycles. Backed by top-tier investors, the company is positioned to become a leader in the application of AI to advanced hardware design and manufacturing. The Role As the Head of Machine Learning, you will architect the company's entire ML strategy. You will lead the research and development of the core models that allow AI agents to perceive and reason about 3D geometry. Your primary focus will be on defining the technical roadmap, hiring and mentoring a high-performing team, and guiding the development of novel techniques in geometric deep learning and multimodal reasoning. The Essential Requirements • Proven experience leading machine learning teams, setting technical direction, and mentoring senior engineers., • Deep expertise in 3D perception, scene understanding, or geometric deep learning (e.g., from robotics, AV, AR/VR)., • A strong track record of architecting and deploying complex ML systems from research to production., • Fluency with modern ML frameworks (e.g., PyTorch) and models for geometric data (GNNs, 3D CNNs, NeRFs)., • Ability to translate ambiguous product goals into a concrete technical roadmap and execute effectively. What Will Make You Stand Out • A PhD in a relevant field such as Computer Science or Robotics., • A background in mechanical, aerospace, or a related engineering discipline., • Experience integrating perception models with LLMs or other agent-based systems., • A history of publications in top-tier machine learning conferences. Benefits • Up to $260,000 base, • Meaningful equity, • A key leadership role with the autonomy to shape the company’s technical culture and direction., • The opportunity to solve high-impact problems at the intersection of AI and engineering. If you are interested in this role, please apply with your resume through this site. SEO Keywords for Search Head of Machine Learning, Head of AI, Director of Machine Learning, VP of AI, AI Lead, ML Lead, Principal ML Engineer, Machine Learning Manager, AI Research Lead, 3D Perception, Geometric Deep Learning, Computer Vision, GNN, Graph Neural Networks, 3D Transformers, NeRF, Point Clouds, CAD, Generative AI, Autonomous Agents, Robotics, PyTorch, MLOps, LLM, Reinforcement Learning, AI for Engineering, Simulation, Computational Geometry. Disclaimer Attis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment. M/F/D/V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com.

CMK Resources is partnering with a fast-scaling AI cloud platform on a high-impact, confidential search. This team is solving cutting-edge infrastructure challenges to support massive-scale AI and HPC workloads. They are urgently seeking an experienced Staff/Sr. Staff+ Network Engineer to lead architecture and design of next-generation networking systems. This is a contract-to-hire role (6 months) with the potential to convert to full-time. You’ll work closely with a highly technical engineering team and help shape the backbone of our client's AI cloud platform. Responsibilities • Architect and implement network infrastructure supporting large-scale AI/HPC compute clusters, • Own the design and integration of Arista and Nvidia networking solutions (Infiniband, Spectrum X), • Build and support low-latency data center networking using RoCE and RDMA technologies, • Design scalable routing protocols (BGP, OSPF/IS-IS, EVPN, VXLAN, MPLS), • Provide expert guidance on backbone, edge, and peering infrastructure, • Collaborate cross-functionally with compute, storage, and software teams, • Mentor junior engineers and contribute to global on-call support Qualifications • Bachelor's Degree in Computer Science or related area, • 15+ years of experience in network engineering or architecture roles, • Proven track record building and scaling production network infrastructure, • Hands-on experience with Arista and Nvidia networking gear, • Deep understanding of RoCE (RDMA over Converged Ethernet), • Strong knowledge of routing protocols (BGP, EVPN, VXLAN, MPLS, etc.), • Experience with cloud connectivity to AWS, GCP, Azure or similar, • Familiar with switch/router chipsets (Broadcom, Barefoot) and vendors (Cisco, Juniper, Mellanox), • Bonus: scripting with Python, Ansible, or automation tools, • Comfortable working onsite (Sunnyvale, CA/Dublin, Ireland) or remotely with travel as needed Why Join: • Help build one of the most technically advanced AI infrastructure platforms in the world, • Work at the intersection of HPC, AI, and next-gen data center networking, • Join a small, senior team that moves fast and works on real impact, • Opportunity to lead and mentor while staying deeply technical

About Us Mintegral is a leading programmatic and interactive mobile advertising platform, starting from the APAC region and radiating out globally. Powered by advanced AI technology, we provide global advertisers and developers with innovative, comprehensive experiences. With our efficient mobile marketing and monetization solutions, we help our clients exceed their marketing goals. As a self-developed programmatic platform, since Launched in 2015, Mintegral has quickly grown to become one of the largest mobile advertising platform in Asia. We offer a full stack of programmatic products and services including our Self-service Platform, DSP, SSP, Ad Exchange and DMP. We have also created the Mindworks Creative Studio, which offers publishers and brands cutting-edge creative solutions, from traditional creative right through to the latest interactive ad formats. For more information, please visit our website: ___ About the Role We are looking for a highly motivated Machine Learning Engineer to help advance the intelligence of our advertising platform. You will work across the full lifecycle of ML development—from framing ambiguous problems to deploying large-scale production models that directly impact advertiser ROI and user experience. Responsibilities • Own the end-to-end algorithm development lifecycle, including problem formulation, solution design, experimental validation, and online deployment., • Leverage data analysis and algorithmic innovation to optimize model inference performance, enhance monitoring systems, and continuously improve both monetization efficiency and user experience within the advertising platform., • Identify potential issues and optimization opportunities across the ad delivery system. Actively participate in technical discussions, stay proactive in learning, and apply new technologies to solve real-world problems., • Track cutting-edge research in machine learning and incorporate advanced techniques into practical adtech applications. Qualifications • Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, Mathematics, Physics, or a closely related technical field; strong academic background preferred., • Excellent problem-solving skills, with the ability to abstract complex problems, build models, and analyze large datasets., • Strong engineering fundamentals and production-quality coding skills (Python, C++, or related languages)., • Self-driven, resilient, and able to navigate challenging problems with a proactive mindset., • Hands-on experience with optimizing ad systems end-to-end, and understanding system behavior through data loops and feedback cycles., • Practical experience with feature engineering, model architecture design, and sample distribution analysis; background in generative recommendation or LLM-based approaches is a plus., • Experience in RTB and ads strategies, such as cold-start optimization, budget pacing, calibration, or bidding strategies, is strongly preferred.

We are seeking an experienced Data Engineer to design and optimize scalable data pipelines that drive our global data and analytics initiatives. In this role, you will leverage technologies such as Apache Spark, Airflow, and Python to build high performance data processing systems and ensure data quality, reliability, and lineage across Mastercard’s data ecosystem. The ideal candidate combines strong technical expertise with hands-on experience in distributed data systems, workflow automation, and performance tuning to deliver impactful, data-driven solutions at enterprise scale. Responsibilities: • Design and optimize Spark-based ETL pipelines for large-scale data processing., • Build and manage Airflow DAGs for scheduling, orchestration, and checkpointing., • Implement partitioning and shuffling strategies to improve Spark performance., • Ensure data lineage, quality, and traceability across systems., • Develop Python scripts for data transformation, aggregation, and validation., • Execute and tune Spark jobs using spark-submit., • Perform DataFrame joins and aggregations for analytical insights., • Automate multi-step processes through shell scripting and variable management., • Collaborate with data, DevOps, and analytics teams to deliver scalable data solutions. Qualifications: • Bachelor’s degree in Computer Science, Data Engineering, or related field (or equivalent experience)., • At least 7 years of experience in data engineering or big data development., • Strong expertise in Apache Spark architecture, optimization, and job configuration., • Proven experience with Airflow DAGs using authoring, scheduling, checkpointing, monitoring., • Skilled in data shuffling, partitioning strategies, and performance tuning in distributed systems., • Expertise in Python programming including data structures and algorithmic problem-solving., • Hands-on with Spark DataFrames and PySpark transformations using joins, aggregations, filters., • Proficient in shell scripting, including managing and passing variables between scripts., • Experienced with spark submit for deployment and tuning., • Solid understanding of ETL design, workflow automation, and distributed data systems., • Excellent debugging and problem-solving skills in large-scale environments., • Experience with AWS Glue, EMR, Databricks, or similar Spark platforms., • Knowledge of data lineage and data quality frameworks like Apache Atlas., • Familiarity with CI/CD pipelines, Docker/Kubernetes, and data governance tools.

Join a ground-breaking AI platform company, founded by top AI researchers and successful entrepreneurs, that is building the first Agentic AI Platform for SAP Custom Code. This critical infrastructure role focuses on leading our enterprise deployments, requiring deep expertise in multi-tenant SaaS patterns and security-stringent client environments. You will use Infrastructure-as-Code (Terraform) and container orchestration (ECS/Fargate) to manage complex customer migrations and quickly resolve high-impact issues. This is a unique opportunity to end tech debt for Fortune 500s and disrupt a $100B+ industry, directly impacting the world's largest companies. Responsibilities: • Deploy, configure, and manage customer environments using containerized orchestration (ECS/Fargate) and Terraform modules across multiple client environments., • Quickly diagnose and resolve high-impact production issues to maintain strict migration schedules., • Continuously synthesize field insights from deployments to design, code, and ship improvements into the core product., • Uphold strict security and compliance standards required by large enterprise clients., • Manage secrets, authentication systems (OAuth2/OIDC/SAML, Keycloak), and integrate with enterprise systems. Skills/Must have: • Cloud & Containerization: Proven expertise with AWS services (ECS/Fargate, ALB, S3, Secrets Manager) and Docker., • Infrastructure as Code (IaC): Deep experience with Terraform for provisioning and managing environments., • DevOps & Automation: Extensive experience in infrastructure automation and DevOps best practices., • Security & Auth: Experience with secrets management and authentication systems (OAuth2/OIDC/SAML, Keycloak)., • Education: Bachelor's degree in Computer Science or related technical field. Salary: $150k - $200k

MDM Engineer III W2 Contract-to-Hire Salary Range: $156,000 - $176,800 per year Location: Dublin, CA - Hybrid Role Job Summary: The MDM Engineer III is responsible for the development, integration, and implementation of configuration processes, procedures, and solutions within the Master Data Management (MDM) platform. The candidate will develop solutions on the MDM platform, participate in system/design/code reviews, address configuration and administration issues, as well as directly influence the direction of the Product domain on the MDM platform. The candidate will also collaborate with other technology partners to design and build quality, highly scalable solutions/applications, as well as interact with business teams as part of Agile development. Duties and Responsibilities: • Design, develop, and test incoming and outgoing data feeds, data modeling, governance, and system administration as it pertains to MDM., • Responsible for providing technical consulting to management, business analysts, and technical associates, while working with the integration, architecture, and business teams to deliver MDM solutions., • Deliver high-quality solutions independently, while working collaboratively to share knowledge and ideas, and adapt quickly to the needs of the business., • Partner with Data Governance & Operations teams to deliver based on program/project needs., • Drive the architecture, design, and delivery of the end-state MDM solution in a hands-on manner, including modeling the MDM domains., • Establish monitoring and reporting capabilities for the MDM platform., • Engage with all levels across IT to deliver an Enterprise MDM Program solution (Product), including cross-functional coordination., • Help lead master data integration activities, which include, but are not limited to, data cleansing, data creation, data conversion, issue resolution, and data validation., • Identify, manage, and communicate issues, risks, and dependencies to project management., • Configuration of the MDM solution in a hands-on manner (Web UI, business rules, and workflow changes), • Provide support for the Master Data Management (MDM) platform, including technical architecture, inbound/outbound data integration (ETL, maintenance/tuning of match rules and exceptions, data model changes, executing and monitoring incremental updates, and working with infrastructure and DBA teams to maintain multiple environments)., • Contribute to the design of logical and physical Data modeling to support the Enterprise Master Data Management system., • Establish & refine monitoring and reporting capabilities for the new MDM platform., • Provide level 3 support for the MDM platform as needed., • Manage Code configuration and code release management in Non-production environments., • Exceptional verbal communication and technical writing skills Requirements and Qualifications: • 8+ years of experience with Master Data Management solutions, • 5 - 8 years of experience working within the entire Software Development Lifecycle, including requirements gathering, design, implementation, integration testing, deployment, and post-production support, • 5 - 8+ years of experience in system design, implementation, and Level 3 support activities, • Strong understanding of Master Data Management concepts, including Object Oriented Design, Programming, and Data Modeling, • Strong experience in development configuration of Workflow, Web UI, and Business Rules Action components of MDM (STIBO STEP solution preferred), • Strong experience in identifying performance bottlenecks, providing a solution, and implementing functional performance recommendations, • Experience in implementing deployment automation to support the data model / web-ui / JavaScript binds / configurations and product information between environments., • Experience in developing enterprise applications using Java, J2EE, JavaScript, HTML, CSS, Spring Framework, • Working experience with at least one major MDM platform such as Oracle, Informatica, or Stibo (preferred), • Working experience in data profiling, data quality designing, and configuring MDM UI, workflows, and rules for business processes, preferably in a retail domain, • Experience working in an Agile Environment, • Experience working in an infrastructure environment (ability to assist in logins, restarting servers, etc.), • Experience working in Oracle as the main database or Linux operating systems, • Experience with data modeling and data migration, • Experience with security best practices of web applications to address vulnerabilities, • Experience with application integration and middleware, • Strong communication skills are required, with the ability to give and receive information, explain complex information in simple terms, and maintain a strong customer service approach to all users., • Knowledge of/prior DBA experience with SQL Server and/or Oracle is a plus. Minimum knowledge/experience in UNIX, • Ability to work independently, creatively problem solve complex technical problems, and can provide guidance and training to others, • Ability to provide accurate estimates of timeframes necessary to complete potential projects and develop project implementation plans, • Bachelor's Degree in Computer Science or related experience Desired Skills and Experience Master Data Management (MDM), STIBO STEP, Oracle MDM, Informatica MDM, Java, J2EE, JavaScript, HTML, CSS, Spring Framework, Data Modeling, ETL, Data Integration, Data Migration, Data Profiling, Data Quality, Data Governance, Workflow Configuration, Web UI Development, Business Rules Configuration, System Design, Software Development Lifecycle (SDLC), Agile Development, SQL, Oracle Database, SQL Server, Linux, UNIX, Performance Tuning, Match Rules Configuration, Data Cleansing, Data Validation, API Integration, Middleware, Application Security, Requirements Gathering, Technical Architecture, Level 3 Support, Code Configuration Management, Release Management, Object Oriented Design, Data Conversion, Infrastructure Management, Technical Consulting, Cross-functional Collaboration, Issue Resolution, Risk Management, Technical Documentation Bayside Solutions, Inc. is not able to sponsor any candidates at this time. Additionally, candidates for this position must qualify as a W2 candidate. Bayside Solutions, Inc. may collect your personal information during the position application process. Please reference Bayside Solutions, Inc.'s CCPA Privacy Policy at .

About Us Hippocratic AI is developing the first safety-focused Large Language Model (LLM) for healthcare. Our mission is to dramatically improve healthcare accessibility and outcomes by bringing deep healthcare expertise to every person. No other technology has the potential for this level of global impact on health. Why Join Our Team • Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare-only, safety-focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation., • Work with the people shaping the future. Hippocratic AI was co-founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA., • Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others., • Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world-changing technologies — ensuring our platform is powerful, trusted, and truly transformative. We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Palo Alto office five days a week unless otherwise specified. About the Role As a Senior Backend LLM Engineer at Hippocratic AI, you will play a key role in building the core infrastructure that powers our AI-driven healthcare products. You’ll join a collaborative team of engineers, applied scientists, and healthcare professionals working at the intersection of Generative AI and clinical workflows. Your work will focus on designing, developing, and scaling backend systems that ensure our products are safe, reliable, and ready for high-stakes use in healthcare environments. This role is deeply cross-functional—you will work closely with ML engineers, data scientists, product managers, designers, and clinical experts to transform complex requirements into secure, high-performance backend services. From data processing pipelines to API design and system reliability, your contributions will directly shape how patients and providers interact with next-generation AI systems. We’re looking for engineers who are passionate about innovation, thrive in fast-paced environments, and want to build real-world healthcare solutions with cutting-edge AI technologies. What You'll Do • Develop and maintain scalable backend systems for high-performance AI applications in healthcare., • Collaborate with ML engineers and data scientists to design and build efficient pipelines for large-scale healthcare datasets., • Build and manage APIs and microservices that enable data retrieval, processing, and interaction with AI models., • Implement strong data security, privacy, and compliance practices for sensitive patient data., • Monitor, debug, and optimize backend systems for performance, reliability, and uptime., • Translate healthcare and product requirements into architectures and technical solutions. What You Bring Must Have: • Bachelor’s degree in Computer Science, Engineering, or equivalent experience., • 5+ years of backend development experience using Python, Go, or similar languages., • Familiarity with SaaS control planes, relational databases, and RESTful APIs., • Strong understanding of cloud infrastructure (AWS, GCP, Kubernetes, S3)., • Proven ability to architect scalable systems and deliver high-quality, production-grade code., • Excellent problem-solving, communication, and collaboration skills in fast-moving environments., • Must have experience building agentic frameworks or orchestration platforms for LLM-based agents, • Must have experience designing/deploying conversational AI backends, • Must have experience developing production-grade LLM applications or autonomous agents If you’re an engineer passionate about building high scale AI-powered experiences and ready to work on cutting-edge B2B products that make a real impact in healthcare, we’d love to hear from you. Join our team at Hippocratic AI and help shape the future of clinically safe, production-grade AI systems

We are seeking a Senior DevOps Build Engineer with experience in designing, building, and maintaining secure, automated CI/CD pipelines for cloud based applications. The ideal candidate is a cloud savvy AWS expert with strong DevOps experience and good understanding of infrastructure-as-code, containerization and security scanning. In this role, you will collaborate across multiple teams including development, infrastructure, security and networking to deliver reliable, secure and scalable cloud solutions. You will also provide leadership in DevOps best practices, CI/CD automation, and secure architecture design. Responsibilities: • Design, build, and optimize automated CI/CD pipelines and integrate SAST, DAST, OSS, and container security scans., • Provide DevOps architectural leadership, mentorship, and best-practice guidance across teams., • Lead standardization of DevOps pipeline frameworks and secure development patterns., • Implement automated deployment, infrastructure, and build/release workflows., • Own technical implementation for assigned development initiatives and ensure alignment with internal engineering standards., • Partner closely with architecture, security, and engineering stakeholders to ensure secure and compliant build practices., • Maintain platform security aligned with organizational Information Security policies., • Anticipate risks and proactively propose solutions related to enterprise platform scaling and cloud adoption. Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or equivalent work experience., • At least 7 years of AWS experience delivering solutions in a DevOps or architecture role, • Hands on background designing, implementing, and supporting complex multi environment platforms., • Proven experience building and supporting DevOps infrastructure, CI/CD pipelines, and automation., • Strong experience configuring GitLab and artifact repositories such as Nexus., • Experience preparing vulnerability reports using tools such as Fortify, SonarQube, NexusIQ, and GitLab native scans (Semgrep, Gymnasium)., • Experience configuring Checkov and KICS for IaC scanning., • Containerization experience using Docker and AWS cloud services (CloudWatch, ECS, EKS, Lambda, Fargate, EC2.), • Secrets management experience using AWS Secrets Manager, AWS SSM Parameter Store, and/or Vault., • Advanced scripting experience using Python, Shell, Groovy, YAML/JSON., • Experience with major IDEs using Visual Studio, IntelliJ, Eclipse., • Strong experience integrating build tools and technologies across C++, Java, JavaScript, and .NET application stacks., • Strong Linux and Windows OS experience., • Knowledge working within Agile project environments and using tools such as Jira and VersionOne.

Quantitative Reseacher San Francisco Wealth Management Start-up We're working on behalf of a start-up who are looking for a Quantitative Researcher to lead their work around portfolio optimization, hedging, risk management, and alpha generation problems. Founded by a former executive with a successful exit in the current AI boom, this is an exciting opportunity to join a well funded early stage start-up looking to modernize the wealth management industry. The ideal candidate could come from an investment bank, large wealth or asset management firm, or a leading hedge fund ideally with exposure to concepts across portfolio management and optimization, hedging, risk, tax optimization, and comfortable working in a small, agile environment. Requirements • 6+ years commercial experience as a Quantitative Researcher/Analyst, • Strong communication and stakeholder management skills, • Experience coding in Python, R, or a similar language, • Prior experience working with Portfolio Managers or Traders would be ideal, • Strong educational background in math, statistics, economics, or computer science preferred

Fractal is looking for a proactive and driven AWS Lead Data Architect/Engineer to join our cloud and data tech team. In this role, you will work on designing the system architecture and solution, ensuring the platform is scalable while performant, and creating automated data pipelines. Responsibilities: • Design & Architecture of Scalable Data Platforms, • Design, develop, and maintain large-scale data processing architectures on the Databricks Lakehouse Platform to support business needs, • Architect multi-layer data models including Bronze (raw), Silver (cleansed), and Gold (curated) layers for various domains (e.g., Retail Execution, Digital Commerce, Logistics, Category Management)., • Leverage Delta Lake, Unity Catalog, and advanced features of Databricks for governed data sharing, versioning, and reproducibility., • Client & Business Stakeholder Engagement, • Partner with business stakeholders to translate functional requirements into scalable technical solutions., • Conduct architecture workshops and solutioning sessions with enterprise IT and business teams to define data-driven use cases, • Data Pipeline Development & Collaboration, • Collaborate with data engineers and data scientists to develop end-to-end pipelines using Python, PySpark, SQL, • Enable data ingestion from diverse sources such as ERP (SAP), POS data, Syndicated Data, CRM, e-commerce platforms, and third-party datasets., • Performance, Scalability, and Reliability, • Optimize Spark jobs for performance tuning, cost efficiency, and scalability by configuring appropriate cluster sizing, caching, and query optimization techniques., • Implement monitoring and alerting using Databricks Observability, Ganglia, Cloud-native tools, • Security, Compliance & Governance, • Design secure architectures using Unity Catalog, role-based access control (RBAC), encryption, token-based access, and data lineage tools to meet compliance policies., • Establish data governance practices including Data Fitness Index, Quality Scores, SLA Monitoring, and Metadata Cataloging., • Adoption of AI Copilots & Agentic Development, • Utilize GitHub Copilot, Databricks Assistant, and other AI code agents for, • Writing PySpark, SQL, and Python code snippets for data engineering and ML tasks., • Generating documentation and test cases to accelerate pipeline development., • Interactive debugging and iterative code optimization within notebooks., • Advocate for agentic AI workflows that use specialized agents for, • Data profiling and schema inference., • Automated testing and validation., • Innovation and Continuous Learning, • Stay abreast of emerging trends in Lakehouse architectures, Generative AI, and cloud-native tooling., • Evaluate and pilot new features from Databricks releases and partner integrations for modern data stack improvements. Requirements: • Bachelor’s or master’s degree in computer science, Information Technology, or a related field., • 8-12 years of hands-on experience in data engineering, with at least 5+ years on Python and Apache Spark., • Expertise in building high-throughput, low-latency ETL/ELT pipelines on AWS/Azure/GCP using Python, PySpark, SQL., • Excellent hands on experience with workload automation tools such as Airflow, Prefect etc., • Familiarity with building dynamic ingestion frameworks from structured/unstructured data sources including APIs, flat files, RDBMS, and cloud storage, • Experience designing Lakehouse architectures with bronze, silver, gold layering., • Strong understanding of data modelling concepts, star/snowflake schemas, dimensional modelling, and modern cloud-based data warehousing., • Experience with designing Data marts using Cloud data warehouses and integrating with BI tools (Power BI, Tableau, etc.)., • Experience CI/CD pipelines using tools such as AWS Code commit, Azure DevOps, GitHub Actions., • Knowledge of infrastructure-as-code (Terraform, ARM templates) for provisioning platform resources, • In-depth experience with AWS Cloud services such as Glue, S3, Redshift etc., • Strong understanding of data privacy, access controls, and governance best practices., • Experience working with RBAC, tokenization, and data classification frameworks, • Excellent communication skills for stakeholder interaction, solution presentations, and team coordination., • Proven experience leading or mentoring global, cross-functional teams across multiple time zones and engagements., • Ability to work independently in agile or hybrid delivery models, while guiding junior engineers and ensuring solution quality, • Must be able to work in PST time zone.

Lead Machine Learning Engineer – Generative AI for the Physical World Overview A rare opportunity has emerged for a visionary Lead Machine Learning Engineer to build the core intelligence for a stealth-mode, well-funded AI company. This foundational leadership role is for someone passionate about teaching machines to understand and engineer the physical world, moving beyond language and into the complex domain of 3D geometry and physics. Why Join? This is a chance to define a new category of software from the ground up. You will have the autonomy to set the technical vision, build a world-class team, and solve fundamental AI challenges that directly impact how next-generation products are designed and built. You will be instrumental in creating the "brain" that powers a revolutionary platform. The Company My client is a pioneering startup developing a new class of generative AI. Their platform uses autonomous agents to design, test, and optimize complex physical systems, aiming to radically accelerate today's slow and manual engineering cycles. Backed by top-tier investors, the company is positioned to become a leader in the application of AI to advanced hardware design and manufacturing. The Role As the Lead Machine Learning Engineer, you will architect the company's entire ML strategy. You will lead the research and development of the core models that allow AI agents to perceive and reason about 3D geometry. Your primary focus will be on defining the technical roadmap, hiring and mentoring a high-performing team, and guiding the development of novel techniques in geometric deep learning and multimodal reasoning. The Essential Requirements • Proven experience leading machine learning teams, setting technical direction, and mentoring senior engineers., • Deep expertise in 3D perception, scene understanding, or geometric deep learning (e.g., from robotics, AV, AR/VR)., • A strong track record of architecting and deploying complex ML systems from research to production., • Fluency with modern ML frameworks (e.g., PyTorch) and models for geometric data (GNNs, 3D CNNs, NeRFs)., • Ability to translate ambiguous product goals into a concrete technical roadmap and execute effectively. What Will Make You Stand Out • A PhD in a relevant field such as Computer Science or Robotics., • A background in mechanical, aerospace, or a related engineering discipline., • Experience integrating perception models with LLMs or other agent-based systems., • A history of publications in top-tier machine learning conferences. Benefits • Up to $260,000 base, • Meaningful equity, • A key leadership role with the autonomy to shape the company’s technical culture and direction., • The opportunity to solve high-impact problems at the intersection of AI and engineering. If you are interested in this role, please apply with your resume through this site. SEO Keywords for Search Head of Machine Learning, Head of AI, AI Lead, ML Lead, Principal ML Engineer, Machine Learning Manager, AI Research Lead, 3D Perception, Geometric Deep Learning, Computer Vision, GNN, Graph Neural Networks, 3D Transformers, NeRF, Point Clouds, CAD, Generative AI, Autonomous Agents, Robotics, PyTorch, MLOps, LLM, Reinforcement Learning, AI for Engineering, Simulation, Computational Geometry. Disclaimer Attis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment. M/F/D/V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com.

Are you a math education leader who wants to transform how math is taught in the classroom and see students become passionate about learning? Do you want to be part of a leading team that works closely with teachers in California to prepare students for the future? If so, read on 🙌. About Innovamat 🚀 Innovamat is the leading global K-12 edtech startup that brings the cutting-edge science of math learning and teaching to the classroom. We have built a unique PreK-8 math curriculum, backed by robust research and loved by 27,000+ teachers worldwide, to structurally change the way students learn by leaving the textbook and workbook behind. Join our US team as a core expansion team member to build world-class math classrooms with students ready for the future. Our all-in-one product ecosystem offers a range of resources from manipulatives to a self-adaptive practice app so teachers can focus on what they do best: facilitate and develop students (instead of lecturing and wasting time on non-pedagogical tasks). Our Team 🏢 We are more than 320 Math Education enthusiasts in 9 countries. To date, we have reached 2,600+ schools with more than 600,000+ students and 27,000+ teachers who love to work with the Innovamat curriculum. We are headquartered in Barcelona, Spain, and have offices across our countries. In the US, we are a hybrid team with members in New York, California, and growing in Chicago and other locations. Our school network is already in 5 states and growing every month. You Are Ready To 🎯 • Play a vital role in our growth in the US as a pioneer and bring your passion for education and teaching., • Work in a high-paced environment while making a meaningful impact in classrooms across your region., • Ensure that more schools districts in US join our educational proposal and ensure its continuity throughout the next cycles., • Be the Math expert that school administration and teachers view as their go-to person in Innovamat and ensure its success at all times., • Organize periodic meetings with schools to define the steps to follow, to ensure the success of our program, solving all the educational doubts and ensuring that their experience is unique., • Carry an impeccable, constant and systematic monitoring of the process in our CRM., • Navigate early-stage market constraints and go the extra mile as part of our supportive, ambitious small team. What You Will Do 🏁 • Be the Math Success specialist and accompany and train the teachers who carry out Innovamat in the classroom.Rest assured you will have a team of math researchers to support you as needed., • Hold classroom sessions (observations and modeling) with and for teachers as part of the curriculum's application., • Organize regular meetings and detect the training needs of each customer to define their path to success, resolve questions on the way and ensure that the experience with Innovamat is unique., • Conduct product demonstrations (hands-on and math-focused, not product features-oriented)., • Build a strong community of math educators across San Francisco to begin with., • Manage relationships with all stakeholders throughout the implementation process. You Have 🔍 • A strong training in math and teaching. Great if you have experience as a math teacher in elementary school., • A passion to bring cutting-edge research into the classroom and positively impact students and teachers., • Expertise in creating meaningful relationships and generating opportunities with district-level administrators, or equivalent., • A knack for speaking and connecting with teachers. Educator-to-educator communication skills are fundamental for thriving in this role., • A hands-on approach to your work, understanding that our mission requires a lot of building from scratch., • An entrepreneurial mindset capable of thinking outside the box and excited about the challenges of an early stage., • An appetite to travel and visit schools and classrooms in your region. What We Offer You 🤗 • Be part of our early-stage expansion team in the US that is on track to be the industry leader 🇺🇸., • A fast-growing, international startup environment with strong fundamentals 🌍., • Freedom to take on as much responsibility as you dare, which will allow you to develop your career quickly., • 5% 401k match., • Comprehensive fully-covered medical, dental, and vision package ❤️ ., • Paid time off, including all federal and state holidays, and paid parental leave., • An additional week off during Christmas to be with family and rejuvenate., • Company computer and mobile phone., • Team building days (🧗📖⚽ and more)., • Build a strong career as part of the first team to drive truly transformative change in how kids learn and love math in the US., • Travel at least 30-50% of your workweek., • Compensation range for this role is $85K to $110K base salary, as well as a generous variable, commission-based pay component (OTE $130K) If you are excited by these prospects to build the future of math education together, we would love to meet you! At Innovamat, we are proud to be an Equal Employment Opportunity Employer. We seek to recruit the most talented people from an inclusive candidate pool with equity and equality in mind. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. We will process your personal data as part of our recruitment procedures. To find out more, please consult our Candidate Privacy Notices. Reasonable Accommodations Statement: Innovamat is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us.

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.

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 experienced STEM educators (US High School) for a premier AI pilot project with one of the world’s leading AI research labs. In this role, you will leverage your classroom experience and pedagogical expertise to help shape the future of artificial intelligence. Your insights will contribute to the development of large language models that understand and reflect how expert educators teach and explain complex STEM concepts. Please note, those that are not teachers but personal tutors will be considered for this role. ### You're a great fit if you: - Are a licensed high school teacher in the United States - Have 3+ years of full-time teaching experience - Hold at least a masters degree in education or a STEM subject area - Currently teach a STEM discipline such as:Mathematics, Physics, Chemistry, Biology, Computer Science, Engineering - Routinely design and deliver rigorous, standards-aligned instruction - Can clearly articulate your thought process and teaching strategies - Have strong written communication skills and a passion for education ### Here are more details about the role: - The role begins Mid-July, with rolling start dates thereafter - Requires 10–20 hours/week, with potential to expand to up to 40 hours/week - Fully remote, with flexible working hours - Ideal for educators looking to engage in meaningful part-time work over the summer or alongside teaching responsibilities ### Ideal candidates include: - Public or private school teachers actively teaching STEM subjects - Department heads or instructional coaches in STEM areas - Former teachers recently transitioned from the classroom with continued ties to education - Teachers who have contributed to curriculum development, assessments, or teacher training ### Pay and legal status: - You will be legally classified as an hourly contractor for Mercor - Payments are issued weekly via Stripe Connect ### Screening Process: - You’ll complete an AI interview (15-20 minutes) and then an assessment (45-60 minutes). The assessment will directly assess your clarity of thought, attention to detail, and your potential ability to complete this project. * * * About Mercor Mercor specializes in recruiting domain experts to support AI research and development. Based in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey. Apply today to help build the next generation of intelligent educational tools—and bring your classroom expertise to the forefront of AI innovation. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Role Description Mercor is hiring on behalf of a leading AI research lab to bring on highly skilled Machine Learning Engineers with a proven record of building, training, and evaluating high-performance ML systems in real-world environments. In this role, you will design, implement, and curate high-quality machine learning datasets, tasks, and evaluation workflows that power the training and benchmarking of advanced AI systems. This position is ideal for engineers who have excelled in competitive machine learning settings such as Kaggle, possess deep modelling intuition, and can translate complex real-world problem statements into robust, well-structured ML pipelines and datasets. You will work closely with researchers and engineers to develop realistic ML problems, ensure dataset quality, and drive reproducible, high-impact experimentation. Candidates should have 3+ years of applied ML experience or a strong record in competitive ML, and must be based in India. Ideal applicants are proficient in Python, experienced in building reproducible pipelines, and familiar with benchmarking frameworks, scoring methodologies, and ML evaluation best practices. * * * ## Responsibilities - Frame unique ML problems for enhancing ML capabilities of LLMs. - Design, build, and optimise machine learning models for classification, prediction, NLP, recommendation, or generative tasks. - Run rapid experimentation cycles, evaluate model performance, and iterate continuously. - Conduct advanced feature engineering and data preprocessing. - Implement adversarial testing, model robustness checks, and bias evaluations. - Fine-tune, evaluate, and deploy transformer-based models where necessary. - Maintain clear documentation of datasets, experiments, and model decisions. - Stay updated on the latest ML research, tools, and techniques to push modelling capabilities forward. * * * ## Required Qualifications - At least 3 years of full-time experience in machine learning model development - Technical degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field - Demonstrated competitive machine learning experience (Kaggle, DrivenData, or equivalent) - Evidence of top-tier performance in ML competitions (Kaggle medals, finalist placements, leaderboard rankings) - Strong proficiency in Python, PyTorch/TensorFlow, and modern ML/NLP frameworks - Solid understanding of ML fundamentals: statistics, optimisation, model evaluation, architectures - Experience with distributed training, ML pipelines, and experiment tracking - Strong problem-solving skills and algorithmic thinking - Experience working with cloud environments (AWS/GCP/Azure) - Exceptional analytical, communication, and interpersonal skills - Ability to clearly explain modelling decisions, tradeoffs, and evaluation results - Fluency in English * * * ## Preferred / Nice to Have - Kaggle Grandmaster, Master, or multiple Gold Medals - Experience creating benchmarks, evaluations, or ML challenge problems - Background in generative models, LLMs, or multimodal learning - Experience with large-scale distributed training - Prior experience in AI research, ML platforms, or infrastructure teams - Contributions to technical blogs, open-source projects, or research publications - Prior mentorship or technical leadership experience - Published research papers (conference or journal) - Experience with LLM fine-tuning, vector databases, or generative AI workflows - Familiarity with MLOps tools: Weights & Biases, MLflow, Airflow, Docker, etc. - Experience optimising inference performance and deploying models at scale * * * ## Why Join - Gain exposure to cutting-edge AI research workflows, collaborating closely with data scientists, ML engineers, and research leaders shaping next-generation AI systems. - Work on high-impact machine learning challenges while experimenting with advanced modelling 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 ML engineers eager to apply Kaggle-level problem solving to real-world, production-grade AI systems. - Fully remote and globally flexible — optimised for deep technical work, async collaboration, and high-output research environments.

About the Company Our values start with our people, join a team that values you! We are the nation’s largest off-price retailer with over 2,000 stores, and a strong track record of success and growth. Our focus has always been bringing our customers a constant stream of high-quality brands and on-trend merchandise at extraordinary savings. All while providing a fun and exciting treasure hunt experience. As Part Of Our Team, You Will Experience: • Success. Our winning team pursues excellence while learning and evolving., • Career growth. We develop industry leading talent because Ross grows when our people grow. About the Role The IT Strategic Sourcing Manager will execute sourcing projects that accomplish the goals of both the organization and the IT business units they support, striving to optimize Total Cost of Ownership while creating efficiencies. This person will be responsible for leading IT strategic sourcing projects from start-to-finish, including process steps such as vendor research, category/market research, market index analysis, data analysis, baseline development, RFP development, competitive bid strategy/management, negotiations, offer analysis and scenario development. This role will also be involved in post-bid management, which includes activities such as spend analysis and vendor management. He / she will manage multiple projects at a time, as well as support ad-hoc IT sourcing inquiries. Strong sourcing strategy, project management, and communications are key in this role as this person will be interacting with many Ross employees, departments, locations and vendors to facilitate cross-functional IT Sourcing activities and support other company-wide initiatives. Responsibilities • Drive IT Sourcing Strategy and Process Execution, • Manage IT sourcing process with minimal support, start-to-finish, for simple to medium complexity projects (to include market research, sourcing strategy, RFX / event development, negotiations, management of communications, and stakeholder involvement, etc.), • Develop category and negotiation strategies that drive savings or business transformation through thought leadership and industry expertise, • Build and maintain stakeholder relationships typically at the Director and VP level based on transparency and mutual benefit, • Partner with the IT organization for relationship management activities and contributes to business reviews and QBRs to maximize value from suppliers., • Lead planning and ideation sessions and effectively influence stakeholders bringing new and innovative ideas, • Collaborate with IT portfolio owners to drive establishment and execution of Renewals and Maintenance Program strategy, • Conduct detailed market and IT vendor research to communicate these findings through meaningful research summaries, • Develop and manage IT sourcing project timelines and lead cross-functional working sessions and leadership meetings to drive key decisions., • Analyze vendor bid responses (quantitatively and qualitatively) and round to round movement uncovering insights to influence sourcing strategy, • Facilitate the development of award scenarios and recommendations for stakeholder evaluation, consideration and decision-making, • Contract Development and Management, • Review contracts and spend to assess potential IT sourcing opportunities, • Meet with IT Contract Owners / IT Contracts Coordinator / Legal to follow-up on concerns relating to IT RFPs / sourcing projects, • Provide guidance on contract negotiations through collaborative approach with IT stakeholders, • Ad-Hoc Analysis and Project Support, • Assist in driving continuous process improvement initiatives, and adherence to policies and procedures, • Able to develop PowerPoint presentations for internal stakeholder communications / updates, also review other team members' deliverables, • Support additional duties as assigned Qualifications • BA/BS in Business, Economics, Finance/Accounting, Engineering, or Computer Science, • MBA/JD/MS/ME preferred, • Minimum of 5 years IT strategic sourcing experience. Multiple IT sourcing category experience required., • Consulting experience preferred; experience in retail is a plus, • Cross-functional team leadership, • Project Management, • Vendor Management, • Contract writing and management experience preferred, • Strong Excel and PowerPoint skills, • Experience using e-sourcing tools for RFx processes, analysis, and/or optimization is a plus, • Experience in working with raw material / market indices, • Must have a data driven approach to solving problems, • Requires very strong quantitative skills and a good sense of how to dissect problems, • Must have very close attention to details and the drive to get things right with minimal supervision, • Ability to multi-task, prioritize, work independently and keep a high level of focus, • Must be able to listen, understand, and communicate with employees at all levels of the company, • Needs to be able to build effective working relationships within Ross Pay range and compensation package The base salary range for this role is $105,600 - $161,100. The base salary range is dependent on factors including, but not limited to, experience, skills, qualifications, relevant education, certifications, seniority, and location. The range listed is just one component of the total compensation package for employees. Other rewards vary by position and location. Equal Opportunity Statement DISCLAIMER: This job description is a summary of the primary duties and responsibilities of the job and position. It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities. Contents are subject to change at management's discretion. Ross is an equal employment opportunity employer. We consider individuals for employment or promotion according to their skills, abilities and experience. We believe that it is an essential part of the Company's overall commitment to attract, hire and develop a strong, talented and diverse workforce. Ross

Job Description RKI Instruments, Inc., an innovative gas detection company located in Union City, is seeking a focused individual with strong technical and interpersonal communication skills to provide our customers with technical support for sales and service of both RKI Instruments portable and continuous monitoring gas detection instruments. This position is a 100% onsite position. The Applications Engineer is responsible for the product applications engineering function at the company. The Applications Engineer is a key member of the company's sales and marketing efforts and interfaces with many personnel and departments within the company as well as outside sales representatives, distributors, and end users of our products. RESPONSIBILITIES: Receiving and making telephone calls as well as emails relating to sales, applications and technical support for the company's products and services. Timely follow up is essential. Sales efforts include prospect qualification, solving needs and generating and following up on sales quotations. Also, will conduct product training both at regular in-house training sessions, through webinars and in some cases at customer locations. The Applications Engineer is also expected to make outside sales calls and /or technical applications support as needed. EDUCATION AND TRAINING: A Bachelor of Science degree in Engineering from a four (4) year University is strongly preferred. Further, a degree or strong background in electrical engineering or chemical engineering is especially helpful. Other technical degrees may be considered. Experience in sales, customer service and/or support and problem solving is desirable but not required. General computer proficiency is required in either PC or Macintosh platforms; preferably in both. In addition, strong interpersonal communication skills (both verbal and written) are required. TECHNICAL REQUIREMENTS: Applications Engineer's function involves a thorough understanding of the customer's requirements, analyzing all pertinent data and solving the customer's needs. The ideal candidate will also have an initial fundamental, and later, thorough understanding of gas detection equipment and gas characteristics. The Applications Engineer will require a proficient working knowledge of gas detection equipment, sensors, basic electronic signals, as well as the physical properties of a variety of toxic, combustible and inert gases and compounds commonly found in industry. Much of this training and knowledge will occur on the job as it pertains to the gas detection industry. A high aptitude for assimilating and retaining technical information is essential. We offer medical, dental, and vision benefits, Vacation, Dedicated Sick Leave, 401K and profit sharing. Please send your resume and salary requirements as well as check out more information about the position and our company at: Company DescriptionRKI Instruments, Inc., an innovative gas detection company located in Union City, CA.RKI Instruments, Inc., an innovative gas detection company located in Union City, CA.

Job Description We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you'll collaborate on some of the world's toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow. Summary As a Manufacturing Diagnostics Engineer, you will be a part of the team that executes processes to bring up, validate, test, and troubleshoot vehicles, as well as implement diagnostic systems/infrastructure. You will develop and improve our processes for testing the electrical and firmware systems of a vehicle to perform the End-of-Line diagnostics in the manufacturing process. Responsibilities • Serve as the first line of defense for all electrical and functional issues on the manufacturing line, including but not limited to software/firmware, harness, networking (CAN, LIN, Automotive and Standard Ethernet, GMSL, etc.), hardware, and infrastructure issues., • Validate vehicle behavior, triage issues, identify root causes, and lead resolutions (pertaining to software, tooling, deploy, harness, hardware, etc.) during vehicle manufacturing testing, bring-up, firmware updates, and calibration., • Work closely with multidisciplinary engineers to collect and interpret the component and vehicle-level requirements and translate them into scalable system-level validation test scripts and test cases, • Develop the system for automatic troubleshooting and workaround guidance for operators on the Manufacturing line, • Build test plans and test coverage for vehicle production, incorporating vehicle behaviors, functionalities, and manufacturing cycle times, • Design and implement future manufacturing lines involving the next-generation diagnostic architecture to support higher volume production Qualifications • Bachelor's degree in a relevant area such as Electrical Engineering or Computer Science., • Very strong troubleshooting and debugging skills and experience, including reading, troubleshooting, and injecting packets over various network protocols such as CAN, LIN, and Ethernet, • 2-4 years of experience with automotive controller integration testing or test script development/programming in high-level languages such as Python, • Experience with GitHub or similar tools for software management, • Strong background in Linux and shell/bash/terminal scripting Bonus Qualifications • Master's degree in a relevant area such as Computer Science or Engineering, • Experience with integration and automation of manufacturing and test equipment, • Background in creating, reading, and writing to tables in SQL database, • Experience with computer network engineering, TCP / IP protocols, communication over API Salary Range: $75,000-$90,000 The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience ALTEN Technology is an Equal Opportunity Employer. Our Policy is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Please beware of job seeker scams and see this important notice on our careers page for more information about our recruiting process. Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and Executive Order 11246. We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.

Job Description We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you'll collaborate on some of the world's toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow. Manufacturing Systems Support Engineer As a Manufacturing Systems Support Contract Engineer, your primary roles are to work closely with the our production teams and Base Ops Service Operations at various facilities, either remotely or in person, to troubleshoot any Manufacturing Systems and SAP S4 system related issues, identity the root causes of these issues, and resolve the issues directly in the systems or work with BizApps personnel, production team members, Manufacturing Engineering Quality, Process, and MES Team engineers to resolve the issues. Requirements • Strong SAP ME/Mii experience and manufacturing plant floor in-person support experience., • Basic knowledge on the integration between S4/HANA and SAP ME/Mii is needed., • Experience with SAP EAM module and familiarity with vehicle system structures, • Basic knowledge on the integration of MES with PLC using Kepware through OPC UA servers Responsibilities • Perform day-to-day Manufacturing Execution System (MES) operation support at facilities, • Resolve any MES-related issues raised by production technicians, • Troubleshoot and resolve any MES data collection issues, • Work with production technicians to resolve any MES operation issues, • Monitor MES/S4 Integration errors and assist in the resolution of the errors, • Bachelor's degree in a relevant areas in Computer Science, Information Technologies, or Engineering, • Minimum of 4-6 years of relevant experience in MES usage in a manufacturing environment (requirements analysis, design definition, software development, and solutions implementation);, • 3+ years of Hands-on Experience with SAP ME/Mii/PCo and Kepware applications, • Prior experience working on SAP EAM systems., • Ability to understand complex manufacturing processes and systems;, • Master degree in Engineering, • Experience in an automotive manufacturing production environment, • Strong understanding of the plant floor manufacturing system architectures and industrial communication protocol Salary Range: $85,000-$100,000/K The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience ALTEN Technology is an Equal Opportunity Employer. Our Policy is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Please beware of job seeker scams and see this important notice on our careers page for more information about our recruiting process. Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and Executive Order 11246. We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.

Job Description Our Mission Foods facility in Hayward, CA Plant is looking for an experienced QA Supervisor to proudly work at this facility. The Quality Assurance Supervisor is responsible for partnering with the rest of the organization to consistently supply products that exceed customer and consumer expectations. The QA Supervisor is responsible for supervising the daily activities of the QA Leads and technicians. #zr • Supervises Plant Quality System requirements., • Reviews activities to ensure conformance to specifications., • Monitors and guarantees that products are being manufactured in conformance with Good Manufacturing Practices and Food Safety Practices. Provides training and support, as well as enforcement to the Food Safety Program., • Investigates and communicates with the QA Manager all departmental and Plant issues., • Supervises the daily activities of the technicians and assures them of proper training in Safety, Food Safety and Quality Systems., • Reviews and updates work aids (instructions, charts, manuals, bulletins, code date calendars, etc.) essential for verification of product quality., • Assists in special projects and generates summary of projects’ performance., • Communicate effectively with the department, plant, and Corporate Personnel., • Takes disciplinary actions and investigates incidents when required., • Perform QA Manager Duties and responsibilities in his/her absence. EDUCATION & EXPERIENCE High School diploma, GED or equivalent required. Bachelor’s degree in food science, Chemical, Engineering, Microbiology strongly preferred. 3 years of experience in Quality Assurance in a manufacturing environment required. Food/Beverage manufacturing preferred. With a minimum of 2 years of experience in a supervisory capacity or 4 years as a Lead in a manufacturing environment required. Any equivalent combination of related education and/or experience may be considered for the above. KNOWLEDGE, SKILLS & ABILITIES • Reliable, Responsible, with initiative to take the next level; Committed, • Quality Systems experience,, • Knowledge of HACCP and Food Safety Programs, • Computer Literacy, Microsoft Applications (Word, Excel, PowerPoint), • Bilingual (Spanish/English) required, • Knowledge of statistics is preferred., • Good communication skills Salary Range: $83,000.00 - $85,000.00 plus $3k annual Bonus Our Full Benefits Package includes Medical, Dental, and Vision insurance, Life insurance and AD&D Insurance, Short-Term and Long-Term Disability Insurance, and Flexible Spending Accounts. Additionally, we offer a 401(k) plan with matching, Paid, shoe allowances, Vacation & Sick Pay, and 7 Paid Holidays. Employees also benefit from an employee discount program on products. *This position is eligible for relocation assistance. Gruma Corporation and its affiliates, including but not limited to Azteca Milling, L.P., are committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law. The information collected by this application is solely for the purposes of determining suitability for employment, verifying your identity, and maintaining employment statistics on applicants. Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act as well as state and local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Gruma. Please inform the company's personnel representative if you need assistance completing any forms or to otherwise participate in the application process. Company DescriptionAt Mission, we believe that good food can take you places. From our humble beginnings as a small tortilla factory in the San Fernando Valley of Los Angeles to becoming a global brand recognized worldwide, we’ve always strived to help you explore the endless possibilities of tortillas and tortilla chips. Since 1977, Mission® has been creating fresh, authentic Mexican food products you can find in your local grocery store including Guerrero, Maseca and Calidad to name a few. Mission®, a subsidiary of Gruma Corporation, is the #1 tortilla company in the U.S. and manufactures a variety of authentic Mexican products. As we’ve grown, we’ve made sure to always put an emphasis on authentic flavors, while providing healthy options that families and friends can enjoy together.At Mission, we believe that good food can take you places. From our humble beginnings as a small tortilla factory in the San Fernando Valley of Los Angeles to becoming a global brand recognized worldwide, we’ve always strived to help you explore the endless possibilities of tortillas and tortilla chips.\r\n\r\nSince 1977, Mission® has been creating fresh, authentic Mexican food products you can find in your local grocery store including Guerrero, Maseca and Calidad to name a few. Mission®, a subsidiary of Gruma Corporation, is the #1 tortilla company in the U.S. and manufactures a variety of authentic Mexican products. As we’ve grown, we’ve made sure to always put an emphasis on authentic flavors, while providing healthy options that families and friends can enjoy together.