This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On - Design and build production ML systems that power core experiences across the platform, including: - Personalized recommendations, search, and ranking systems - Intelligent advertising systems including ranking, bidding, measurement, and optimization - Content, Advertisers, and User understanding - Large-scale machine learning pipelines and model serving infrastructure - Applied AI and LLM-driven experiences - Work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. What You’ll Do - Design, build, and deploy production-grade machine learning models and systems at scale - Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring - Build scalable data and model pipelines with strong reliability, observability, and automated retraining - Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems - Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams - Improve system performance across latency, throughput, and model quality metrics - Research and apply state-of-the-art machine learning and AI techniques - Contribute to technical strategy, architecture, and long-term ML roadmap Qualifications - 3-5+ years of experience building, deploying, and operating machine learning systems in production - Strong programming skills in Python, Java, Go, or similar languages - ML Fundamentals: strong grasp of algorithms from classic statistical learning to DL architectures - Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) - Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure - Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions - Experience improving measurable metrics through applied machine learning Preferred Qualifications - Experience with recommender systems, search/ranking systems, advertising/auction systems - Familiarity with distributed systems and large-scale data processing - Experience working with real-time systems and low-latency production environments - Background in feature engineering, model optimization, and production monitoring - Experience with LLM/Gen AI techniques - Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams - Ads Measurement Modeling - Ads Targeting and Retrieval - Advertiser Optimization - Ads Marketplace Quality - Ads Creative Effectiveness - Ads Foundational Representations - Ads Content Understanding - Ads Ranking - Feed Relevance - Search and Answers Relevance - ML Understanding - Notifications Relevance Benefits - Comprehensive Healthcare Benefits and Income Replacement Programs - 401k with Employer Match - Global Benefit programs that fit your lifestyle - Family Planning Support - Gender-Affirming Care - Mental Health & Coaching Benefits - Flexible Vacation & Paid Volunteer Time Off - Generous Paid Parental Leave

At Cumming Group, you will work on some of the world's most exciting projects in a dynamic environment where your success is measured by the impact you make. We are one of the fastest-growing project and cost management consultancies in the United States, as reflected in our top 10 rankings in ENR. With over 60 offices globally, an extremely diverse project portfolio, and double-digit year-over-year revenue growth, the opportunities to make your mark are limitless! Our Cost Management team is growing! We are actively seeking cost professionals at all levels to join our highly respected cost management and estimating group. Whether you are just starting your career in cost management or looking to take the next step, we would welcome the opportunity to connect and learn more about you. Our team supports a wide range of projects across industries including life sciences, data centers, healthcare, education, and hospitality, offering the chance to work in diverse and dynamic markets. We partner with clients to deliver solutions across many areas of cost management, including conceptual estimating, budget development, cost planning, feasibility studies, value management, economic forecasting, milestone reporting, pre- and post-contract auditing, change order review and reconciliation, BIM 5D cost modeling, LEED cost analysis, life cycle costing, and more. We encourage you to explore our work and learn more about the strong reputation our team has built within this service line. Essential Duties & Responsibilities: - Develop budget estimates by performing accurate quantity take offs using plans and specifications, or conceptual information. - Review, interpret and define the scope of assigned work as described in the project documents. - Build up unit costs based on understanding of labor and material rate structures. - Understand local market conditions and solicit feedback where applicable. - Develop and nurture subcontractor/vendor and client relationships. - Prepare and deliver summary analysis for assigned scope of work. - Evaluate change orders and peer review of estimates. - Assist with the continuous cost management process. - Review, analyze, quantify, and assess change orders. - review and understand commercial contract terms. - Participate in local industry events. - Develop and implement risk and value management exercises on projects. - Lead the development of estimates for projects under the supervision of their manager. - Other duties as assigned. - Attendance at work during normal business hours. Knowledge & Skills Required: - Utilize effective written and oral communication skills. - Understand how your role contributes to the organization's goals. - Deliver quality work product by role modeling organizational core values. - Hold self accountable to individual and team goals. - Consistently communicate and collaborate with team members and clients. - Build relationships with peers, leaders, and clients. - Proactively participate in self-development to continually enhance current skills and build new skills required to excel at current role and prepare for career progression. - Demonstrate technical knowledge of the construction industry and the ability to use cost-estimating methods. - Flexibility to adapt to all situations and work varied hours; possibly work weekends or evenings. - Demonstrate a high degree of creativity and latitude. - Perform work tasks by receiving direction and then working independently with an interest in quickly learning and applying new skills and abilities. - Proficient in measurement and having a solid understanding of different trades, procurement strategies, and delivery methods. - Ability to effectively integrate with other departments. - Ability to quickly analyze, compare, and interpret detailed but sometimes poorly defined information. - Possess a working knowledge of the different roles and services Cumming provides and how the cost management team fits in the project. - Demonstrate proficiency in cost management fundamentals. - Ability to read and interpret various documents such as Arch, Civil, Structural, MEP, Geotech, Site Logistics, and Schedules. - Ability to communicate with various stakeholders, internal and external to the company. - Ability to multi-task, prioritize, and work efficiently. - Ability to perform at high levels in a fast paced, ever-changing work environment. - Rely on instructions and pre-established guidelines to perform the functions of the job. Preferred Education and Experience: - Education: BS in Construction, Cost & Commercial Management, Engineering, Quantity Surveying, or related field - Experience: More than 3 years’ experience post receiving undergraduate degree working in related field - Preferred Certification: Working towards Professional Certification – MRICS, AssocRICS, AIQS, CCP, CEP, CPE or equivalent. Cumming Group is committed to providing Equal Employment Opportunity in its personnel policies and practices. It is Cumming Group’s policy to recruit, hire, train and promote Team Members and applicants for employment without regard to race, color, creed, religion, age, sex, marital status, registered domestic partner status, genetic information, sexual preference, sexual orientation, gender (including gender expression and gender identity), pregnancy (including childbirth or related medical conditions, including breastfeeding), military service, national origin, ancestry, citizenship, physical disability, mental disability, veteran status or any other protected classification under federal, state, or local law. All such decisions are based on (1) individual merit, qualifications, and competence as they relate to the particular position, and (2) promotion of the principle of equal employment opportunity. All other terms and conditions of employment, such as compensation, benefits, transfers, layoff, return from layoff, training, education, and social and recreational programs, are administered without regard to the characteristics described above. To this end, Cumming Group complies with all provisions of Title VII of the Civil Rights Act of 1964 as amended, all of the rules, regulations and relevant orders of the Secretary of Labor, and all similar state and local laws. The salary range for this full-time role is $95,500.00-$167,833.37 per year. Ranges are determined based on the position, geography, client and industry experience and level, and represent a good faith effort to provide a fair and equitable salary. This range reflects base salary only, and not the total compensation package. Cumming Group reserves the right to pay more or less than the posted range, depending on a candidate’s experience, skills, and qualifications, including client requirements. In addition to base salary, Cumming Group offers a comprehensive benefits package including: - Medical - Dental Insurance - Vision Insurance - 401(k) - 401(k) Matching - Paid Time Off - Paid Holidays - Short and long-term disability - Employee Assistance Program

Sunlight reflection may be the only available option, alongside dramatic emissions reductions, adaptation, and rapid scaling of carbon removal, to rapidly limit many climate impacts over the coming decades. But we don’t know nearly enough about it to make a scientifically-informed decision about potential deployment – and we’re not on a trajectory for rapid, legitimate decision making. Reflective is a philanthropically-funded initiative to develop the necessary knowledge base and do the requisite technology research and development, urgently and responsibly. At Reflective we have recently launched a public database of priority uncertainties related to SAI. This is a structured, continually updated assessment of these uncertainties, evaluated by degree of uncertainty and consequence, to help identify and prioritize future research. This project will develop a prototype for a future version of this database in which every entry is quantified with a Jupyter Notebook based analysis which runs on our Cloud Hub. This will allow anyone to test, verify, and expand upon the analysis easily, without any of the friction that comes from, for example, needing to download large amounts of data before reproducing a workflow. The Reflective Cloud Hub is a JupyterHub platform that gives researchers free, browser-based access to climate model datasets and compute resources in the cloud. It hosts analysis-ready outputs from the most recent SAI simulations alongside shared code and tutorials, lowering the barrier to entry for open, reproducible SAI research. This project will make use of the Cloud Hub, and the most recent GeoMIP simulations (G6-1.5K-SAI and G6-1.5K-HiLLA) which are available on it, to explore one key climate uncertainty relevant to SAI, and to demonstrate a best practice use of open science approaches to produce a living assessment of that uncertainty using the latest earth system modeling. INTERNSHIP OVERVIEW We are seeking a highly motivated Graduate (Ph.D. or Master's level) or late stage undergraduate Intern for a 10-15 week research project. The intern can select one of several example tracks as shown below, depending on their level of prior experience, or propose a project of their own. The goal of this internship is as much about demonstrating open science workflows, and trialling public communication of uncertainty via quantitative analysis, as carrying out the specific analysis. This role can be fully remote or based in San Francisco in our office in Embarcadero. Candidates must be US citizens or residents and based in the continental US. Applications will be accepted until March 31, 2026. POTENTIAL RESEARCH TRACKS The intern will have the flexibility to choose their own or select one of the following focus areas based on their expertise and research interests: - Track A - Mid-latitude extreme winter weather response to SAI Suitable for a graduate student candidate with experience in atmospheric dynamics - Objective - quantify changes in extreme winter weather in Northern Hemisphere mid-latitudes under the most recent GeoMIP (G6-1.5K-SAI and G6-1.5K-HiLLA) simulations, and investigate links to changes in large-scale modes of variability (e.g. the North Atlantic Oscillation) and the position of the sub-polar jet. - Relevant uncertainty - Extratropical Circulation - Track B - The monsoon response to High-latitude low-altitude (HiLLA) SAI Suitable for a graduate student candidate with experience in atmospheric dynamics - Objective - assess how the seasonality of forcing (i.e. summer-hemisphere only forcing) under HiLLA strategies impacts (1) the seasonality of interhemispheric temperature differences and (2) (as a result) monsoon responses. The project will compare key monsoon metrics across G6-1.5K-HiLLA and G6-1.5K-SAI simulations. - Relevant Uncertainty - Tropical Circulation - Track C - Comparing the Arctic response in G6-1.5K-SAI and G6-1.5K-HiLLA Suitable for a late-stage undergraduate candidate with strong Python experience - Objective - compare the response of key metrics of Arctic change and tipping risk between G6-1.5K-SAI and -HiLLA, to explore how the more seasonal and polar forcing under HiLLA strategies results in a different Arctic response. Metrics will include the sea-ice area, its seasonal cycle and spatial distribution, drivers of permafrost thaw, AMOC decline and Greenland ice sheet mass balance. - Relevant uncertainties - Ice sheets & Glaciers, AMOC - Track D - The relationship across models between patterns of meridional AOD and residual climate change. Suitable for a late-stage undergraduate candidate with strong Python experience - Objective - investigate how the meridional pattern of aerosol optical depth relates to the pattern of climate impacts (residual changes in temperature, precipitation etc.) under G6-1.5K-SAI/-HiLLA. The key output will be a quantitative analysis of the relationship (or lack of one) across models of spatial patterns of forcing vs response, in order to inform the judgement of degree of “decision-relevance” associated with the uncertainty in aerosol transport. - Relevant uncertainty - Aerosol spatial distribution DESIRED SKILLS AND QUALIFICATIONS - Essential: Currently enrolled in a graduate program (M.S. or Ph.D.) in Atmospheric Science, Climate Physics, Earth System Modeling, or a closely related field, or in the late-stage of an undergraduate program in a related field (e.g. Physics, Earth science) - Essential: Programming skills in Python (xarray, numpy, pandas, matplotlib) for (geospatial) data and visualization. - Desired: Knowledge of climate science, atmospheric dynamics or earth system modelling - Bonus: Prior experience working with earth system model simulations. COMPENSATION We are committed to providing competitive compensation and comprehensive benefits to our team. We offer fixed salary levels based on experience and role to minimize biases in compensation and to ensure team members are paid the same for doing the same work. This position is a 10-15 week full-time internship paid $2,000/week. DIVERSITY At Reflective, recruiting, hiring, mentoring, and retaining a diverse workforce is critical to our success.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.  Reflective is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

• Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. • Develop and maintain backend services using Python, focusing on AI-driven applications. • Design and implement APIs for seamless integration with AI models and services. • Develop tools for large-scale data processing and ETL and contribute to extracting insights from data to help guide ML systems development • Participate in code reviews, testing, and quality assurance processes. • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. • Develop algorithms to ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. • Document and communicate development processes and implementation details with peers and supervisors • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations.