Member, technical staff jobs in Millcreek, PA - 1,707 jobs

Computer/IT: Duolingo, Inc. seeks mltple Staff Software Engineers, Client Architecture (New York, NY) to prfrm sftwr eng'g tsks to cntrbt to the reliability & scalability of Duolingo's client architecture. Reqs Bach dgr in Comp Sci, Electrical Eng'g, Software Eng'g or rltd & 5 yrs of exp in a sftwr eng'g or rltd position. Mst have 5 yrs of exp w/: Programmng in Swift; Dsgnng clean & maintainbl APIs; Multithrdd prgrmmng tchnqs; Wrtng unit tsts & tstbl code; & iOS SDK prfrmnc tools & optmztion tchnqs. Mst have knwldg or crswrk in: Algrthms; Data strctrs; Sftwr dsgn; & iOS mobile app dvlpmnt for iPhone/ Any additional information you require for this job can be found in the below text Make sure to read thoroughly, then apply. iPad usng Swft w/ Cocoa Touch & rltd frmwrks. Some telecmmtng prmtd consistnt with cmpny policy. xevrcyc Salary rng: $245,000 - $270,000/yr. Email rsms to ref code 1227. JobiqoTJN. Keywords: Software Engineer, Location: New York, NY - 10060

What success looks like in this role: Leadership and Strategy: Develop and implement the cloud strategy aligned with business goals. Lead and mentor a team of cloud engineers and architects. Foster a culture of innovation and continuous improvement. To develop a technical relationship and create a dependence of knowledge and thought leadership with our clients and prospects. Cloud Architecture: Design and oversee the implementation of scalable, secure, and cost-effective cloud solutions. Ensure best practices in cloud architecture, including security, compliance, and performance. Discovers, identifies, and articulates unrecognized business value opportunities through curiosity and a focus to drive business client value. Project Management: Oversee cloud-related projects from conception to deployment. Collaborate with cross-functional teams to ensure successful integration of cloud services. Cloud Automation and AI Drive Automations for Cloud Activities leveraging DevOps Framework and Orchestrations tp pursue IaaC Drive AIOPS solution for Infra support in Cloud Stakeholder Engagement: Work closely with senior leadership to align cloud initiatives with business objectives. Communicate effectively with stakeholders to gather requirements and provide updates. Technology Evaluation: Stay current with industry trends and emerging technologies. Evaluate and recommend cloud technologies and vendors. Client Relationship Management Builds 'client for life' relationships by successfully leveraging Unisys entire portfolio to deliver breakthrough results for his/her clients. Becomes a trusted advisor to clients by building solid professional relationships with members of senior level management. Business and Industry Skills: Has used knowledge to build own image and reputation. Stays current with information management / technology / IT Infrastructure industry, competitor and vendor strategies, technologies, and offerings. Conveys an executive presence, a high level of professionalism and a focused commitment to excellence. Forecasts, plans, implements and reviews financial and people resources to meet defined business requirements in line with company strategic plans, targets, and objectives. Defines intermediate goals and contingencies. Understands the meaning and implications of key financial indicators. Analyzes, integrates, and utilizes financial data to accurately diagnose business realities, to identify issues and to develop strategies and plans. Cloud Solution Development and Articulation: Collaborate with Client stakeholders to understand business needs, goals, and objectives. Define the organization's cloud strategy and roadmap, aligning it with business strategies. Identify opportunities to leverage cloud services for improved efficiency, agility, and cost savings. Recommend suitable cloud platforms, services, and deployment models. Cloud Solution Design and Presentation: Architect and design cloud-based solutions that align with business and technical requirements. Develop scalable, secure, and highly available cloud solutions. Evaluate and select appropriate cloud technologies, frameworks, and tools. Design data integrations and connectivity between cloud and on-premises systems. Ensure compliance with security, privacy, and regulatory standards. Cloud Security Solution Design and Compliance: Develop and present cloud security strategies, policies, and solutions. Ensure solution compliance with industry regulations, such as GDPR, HIPAA, or Stay current with evolving security threats and implement appropriate security measures. Cloud Integration and Migration: Assess client environment and systems and develop strategies for migrating and/ or transformation to the cloud. Plan and present the seamless integration of platforms and architectures with cloud-based solutions. Collaboration and Communication: Collaborate with Client business and technical teams as well as internal Unisys cross-functional teams. Provide technical guidance and leadership on cloud architecture and best practices. Communicate complex technical concepts to both technical and non-technical stakeholders. Facilitate workshops and knowledge sharing on cloud technologies. Build and maintain relationships with cloud service providers and technology vendors. You will be successful in this role if you have: Bachelor's degree in relative area of study or equivalent work experience and certifications 10+ years' experience working as an architect in designing, developing, and delivering technology solutions for state and local clients Strong alliance to Google, AWS, Azure, and other progressive cloud/container vendors is a requirement. Demonstrated experience in design patterns, architecture best practices, cost optimizations, delivering purpose-built solutions Understands CXO issues and solution alternatives and is comfortable interacting with them individually or as a part of a broader sales team. Expert in emerging solutions, roadmap, and the business applications of technology. Expert knowledge of the strengths and weaknesses of competitor products and services portfolio. *Requires you to commute in office 3 days per week to office locations in Richmond, VA (preferred), Blue Bell, PA or Salt Lake City, UT. Benefit Highlights: Unisys offers an outstanding benefits package, featuring unlimited paid time off, a 401(k) match, comprehensive healthcare, HSA matching, ongoing learning opportunities, and more! We're committed to supporting work-life balance and investing in your future success. Video Interview Notice: At Unisys, we incorporate video interviews as a key part of our hiring process. This allows us to get to know you better and provide a more engaging and convenient interview experience. We appreciate your understanding and look forward to connecting with you virtually! #LI-JV1 This role may require access to export-controlled commodities and technology. Therefore, to conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government. Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at or alternatively Toll Free: (Prompt 4). US job seekers can find more information about Unisys' EEO commitment here.

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: Own large new areas within our product Work across backend, frontend, and interacting with LLMs and ML models Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Be able, and willing, to multi-task and learn new technologies quickly Ideally you'd have: 7+ years of full-time engineering experience, post-graduation Experience scaling products at hyper growth startups Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies Proficient in Python or Javascript/Typescript, and SQL Experience with Kubernetes Experience with major cloud providers (AWS, Azure, GCP) Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$248,400-$310,500 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible. What you'll do: Design, develop, and maintain high-performance, reliable, and scalable backend systems for private profiles, user blocking and other user safety features Collaborate with front-end developers, UX/UI designers, product managers, and other stakeholders to deliver high-quality products Mentor and guide junior engineers, fostering a culture of continuous learning and improvement Participate in code reviews, architectural discussions, and technical roadmap planning What we're looking for: 8+ years of experience in software development, with a strong focus on backend engineering Bachelor's degree in a relevant field such as Computer Science, or equivalent experience Expertise in programming languages such as Python, Java, Go, or Node.js Extensive experience with RESTful API design and development Experience with front-end development Bachelors/Masters Degree in Computer Science or a related field Strong problem-solving skills and the ability to design scalable, high-performance systems In-Office Requirement Statement: This role will need to be in the office for in-person collaboration 1-2 times/per quarter and therefore can be situated in our offices in either Bay Area, Seattle, New York, or Los Angeles. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-HYBRID At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$208,454-$364,795 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

About Us: Modal provides the infrastructure foundation for AI teams. With instant GPU access, sub-second container startups, and native storage, Modal makes it simple to train models, run batch jobs, and serve low-latency inference. Companies like Suno, Lovable, and Substack rely on Modal to move from prototype to production without the burden of managing infrastructure. We're a fast-growing team based out of NYC, SF, and Stockholm. We've hit 9-figure ARR and recently raised a Series B at a $1.1B valuation. We have thousands of customers who rely on us for production AI workloads, including Lovable, Scale AI, Substack, and Suno. Working at Modal means joining one of the fastest-growing AI infrastructure organizations at an early stage, with many opportunities to grow within the company. Our team includes creators of popular open-source projects (e.g. Seaborn, Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Requirements: * 5+ years of experience writing high-quality production code * Experience building high-performance distributed systems at a large scale (the more battle scars, the better) * Strong cloud skills * Strong knowledge of low-level operating system foundations (Linux kernel, file systems, containers, etc.) * Experience with performance engineering (tell us a story of when you shaved off a few milliseconds!) * Ability to work in-person in our NYC office. * Prior experience with Rust is nice to have, but not required.

Product TensorZero is building an automated AI engineer (”TensorZero Autopilot”) powered by our open-source LLMOps platform (”TensorZero Stack”). TensorZero Stack We started by building an open-source LLMOps platform for full-stack LLM engineering: Gateway: access every LLM provider through a unified API ( Observability: monitor your LLM systems, programmatically or with a UI Optimization: optimize your prompts, models, and inference strategies Evaluations: benchmark individual inferences or end-to-end workflows Experimentation: deploy with built-in A/B testing, fallbacks, etc. Today, the TensorZero Stack is used by companies ranging from frontier AI startups to Fortune 50 enterprises. TensorZero Autopilot Now we're working on TensorZero Autopilot, an automated AI engineer powered by our open-source LLMOps platform. Think of it like “Claude Code for TensorZero”. TensorZero Autopilot collaborates with engineering teams to automate LLM engineering - with full visibility and control. For example, it can: Analyze millions of inferences to surface error patterns and optimization opportunities Recommend models and inference strategies to improve quality, cost, and latency Generate and refine prompts based on human feedback, metrics, and evaluations Drive optimization workflows like fine-tuning, reinforcement learning, and distillation Set up evaluations, prevent regressions, and align LLM judges to real-world scenarios Run A/B tests to validate changes, identify winners, and close the feedback loop By itself, TensorZero Autopilot drove substantial performance improvements for LLM systems in benchmarks and synthetic environments ranging from data extraction to customer support agents. Role We are looking for a Member of Technical Staff with a background in front-end engineering. You'll work alongside and learn from experts in the field (e.g. ex-maintainer of the Rust compiler, ML researchers with thousands of citations). Much of your work will be open-source. Team & Culture We're a small, deeply technical team based in NYC (in person). As an early contributor, you'll work closely with us and have a significant impact on the project's future and vision. Viraj Mehta (Co-Founder & CTO) is an ML researcher with deep expertise in reinforcement learning and LLMs. He received a PhD from CMU with an emphasis on data-efficient RL for nuclear fusion and LLMs, and previously worked in machine learning at KKR and a fintech startup. He holds a BS in math and an MS in computer science from Stanford. Gabriel Bianconi (Co-Founder & CEO) was the chief product officer at Ondo Finance ($20B+ valuation) and previously spent years consulting on machine learning for companies ranging from early-stage tech startups to some of the largest financial firms. He holds BS and MS degrees in computer science from Stanford. Aaron Hill (MTS) is a back-end engineer with deep expertise in Rust. He became one of the maintainers of the Rust compiler while still in college. Later, he worked on back-end infrastructure at AWS and Svix. He's also an active contributor to many notable open-source Rust projects (e.g. Ruffle). Andrew Jesson (MTS) is an ML researcher with deep expertise in Bayesian ML, causal inference, RL, and LLMs. He recently completed a postdoc at Columbia and previously received a PhD from Oxford, during which he interned at Meta. He has 4k+ citations and several first-author papers at NeurIPS and other top ML venues. Alan Mishler (MTS) is an ML researcher with a background in causal inference, sequential decision making, uncertainty quantification, and algorithmic fairness (1.2k+ citations). Previously, he was an AI Research Lead at JPMorgan AI Research and received a PhD in Statistics from CMU, during which he interned at Google and Box. Shuyang Li (MTS) previously was a staff software engineer at Google focused on next-generation search infrastructure, LLM-based search, and many other specialized search products (local, travel, shopping, maps, enterprise, etc.). Before that, he worked on ML/analytics products at Palantir and graduated summa cum laude from Notre Dame. Simeon Lee (MTS) previously was the Head of Design at Merge from inception through Series B. He was also a founding & senior design engineer at multiple startups in AI and developer tools. Earlier in his career, he worked in investment banking and graduated from USC. _____ You? What We Offer Competitive compensation - We believe that great talent deserves great compensation (salary, equity, benefits), even at an early-stage startup. Open-source contributions - The vast majority of your work will be open-source and public. Learning and growth opportunities - You'll join with a background in front-end but will have the opportunity (& be encouraged) to expand your skill set way beyond that (curious about Rust or ML?). Small, technical, in-person team - You'll work alongside a 100% technical team and help shape our vision, culture, and engineering practices. Best-in-class investors - We're lucky to be have raised $7.3M+ from leading funds like FirstMark (backed ClickHouse), Bessemer (backed Anthropic), Bedrock (backed OpenAI), and many angels. We have years of runway and a long-term mindset. We're Looking For Strong technical background - You've tackled hard technical problems. You're comfortable driving large projects from inception to deployment (to start, TensorZero's observability dashboard). Passionate about your craft & design - You're excited about the idea of re-thinking developer tooling from first principles to build interfaces and workflows that don't just work but also delight. Background in front-end SWE - We've started building POCs using Remix and Tailwind, but ultimately we're not experts in this area (for now!). You'll complement the team with a strong background and technical leadership (esp. React). Hungry for personal growth - There are no speed limits at TensorZero. You're excited about learning and contributing across the stack. In-person in NYC - We work in-person five days a week in NYC. We work hard and obsess about the craft.

Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? Our team is a fast-growing group of researchers and engineers focused on building reliable ML systems and pushing the boundaries of LLM inference efficiency. We develop techniques that improve how models execute in production, driving lower latency, higher throughput, and consistent quality across diverse workloads. As an engineer on this team, you'll work across the inference stack to improve core performance metrics by diving deep into model execution, identifying bottlenecks, and developing innovative optimizations. You'll collaborate closely with modeling and systems teams to experiment, measure, and ship improvements that meaningfully accelerate inference. As the team evolves, you'll have opportunities to build expertise in advanced performance techniques, including GPU/CUDA optimizations, kernel-level improvements, and model execution strategies for MoE and large-scale architectures. Please Note: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations. You may be a good fit for the Model Efficiency team if you have: * 5+ years of experience writing high-performance, production-quality code * Strong programming skills in C++ or Python (Rust/Go also welcome) * Experience working with large language models and familiarity with the LLM inference ecosystem (e.g., vLLM, SGLang, etc.) * Ability to diagnose and resolve performance bottlenecks across the model execution stack * A strong bias for action - you ship fast, measure impact, and iterate It's a big plus if you have experience with: * GPU programming, CUDA, or low-level systems optimization * Language modeling with transformers (MoE, speculative decoding, KV-cache optimizations) * Scaling performance-critical distributed systems (e.g., computation, search, storage) If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. Full-Time Employees at Cohere enjoy these Perks: An open and inclusive culture and work environment Work closely with a team on the cutting edge of AI research Weekly lunch stipend, in-office lunches & snacks Full health and dental benefits, including a separate budget to take care of your mental health 100% Parental Leave top-up for up to 6 months Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend ️ 6 weeks of vacation (30 working days!)

About us ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets. Founders: Early GPU cloud (9 figure exit). Investors: Garry Tan / YC + Founder of one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), top-tier angels. About the Role You'll design, build, and maintain the robust data pipelines and infrastructure required for large-scale AI research. Your work will ensure that researchers and engineers have clean, reliable, and high-quality data for every experiment. Responsibilities Build and operate ETL pipelines for large, heterogeneous datasets. Develop and manage storage, cleaning, labeling, and data access infrastructure. Build tools for data quality, validation, and monitoring. Collaborate to create datasets and benchmarks for novel ML problems. Requirements Strong software engineering skills (Python, SQL, PySpark, data infra tools). Experience scaling data pipelines in cloud or hybrid environments. Ability to work with unstructured, messy, or adversarial data. Curiosity and rigor about data quality, privacy, and reproducibility. Why Join ATG We're building a small, elite team. If you're excited by AI, markets, and building from first principles, we'd love to meet you. Work on AI with a massive market opportunity Early team of repeat founders backed by top investors High agency, talent dense, zero bureaucracy

We are: We are Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions - underpinned by the world's largest delivery network - Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With approximately 725,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. We work with 89 of the Fortune Global 100. As of 2023, we have been recognized among Fortune's World's Most Admired Companies for 20 consecutive years. And that's just the beginning. Your career is about what you want to be and who you want to be. It's about bringing your skills, your curiosity, and your best true self to your work. Here, you'll match your ingenuity with the latest technology to make incredible things. Together, let's create positive, long-lasting change. Sales professionals drive the sales process and outcomes on a dedicated basis, growing a profitable pipeline and or backlog of sales, through deal origination, sales negotiations, and closure. You are: A growth focused sales professional who has successfully created positive impact through year-on-year business expansion. You know - and have run all phases of a sales cycle, including qualification, sales pursuit and close by applying deep sales process and technical expertise. You have an intimate knowledge of the Chemicals and/or Natural Resources industries, understanding the specific complexities and value drivers technology can unlock. You develop relationships with key buyers and decision-makers at new and existing clients by utilizing a differentiated roadmap and framework leveraging the latest cloud-based technologies. The work: Create solutions to complex technology business problems/opportunities requiring in-depth knowledge of client buyer needs. Interacts with senior management levels at clients and within Accenture, determines pursuit strategies, develops client messaging plans and relationships, and applies industry-leading Cloud transformation strategies and practices. Has latitude in decision-making and determining objectives and approaches to critical assignments. Operates within large teams and directs specific team sales activities. Travel may be required for this role. The amount of travel will vary from 25% to 100% depending on business need and client requirements. What you need: Minimum of 8 years selling/closing deals in the professional services space in one or more of the following areas: Systems Integration, Outsourcing, Cloud enablement & migration and IT transformation. Minimum of 8 years Sales Pursuit Management experience. Minimum of 2 years' experience in direct sales with quota of $20M+ Minimum of 5 years Chemicals or Natural Resources Industry experience Minimum of 2 recent years of selling SAP Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience). Bonus points if you have: Deep understanding of S/4HANA Understands disposition of workloads for cloud migration/modernization. Experience working with hyperscaler teams. Experience working within G2000 customers. Experience with C-Level client relationship building and relationship management. Proven ability to operate within a team-oriented environment. Demonstrated commitment, teamwork and collaboration in a professional setting; either military or civilian. High energy level, focus and ability to work well in demanding client environments. Excellent communication (written and oral) and interpersonal skills. Strong leadership, problem solving, and decision-making abilities. Unquestionable professional integrity, credibility and character. What's in it for you? You will be part of a diverse, vibrant, global Accenture community; teams pushing the boundaries of new business capabilities and emerging technologies and services, sharing their experiences and lessons learned with each other. You'll have the chance to thrive in an environment where your ideas are valued and your voice matters. At Accenture, you will be able to work on meaningful and innovative projects, powered by the latest technologies and industry best practices such as event-driven architectures and domain-driven design. Accenture will continually invest in your learning and growth. You'll learn from and work with Accenture's certified practitioners and Accenture will support you in growing your own tech stack, sales skills, and certifications. You'll be immersed in the design and implementation of human-centric solutions to help solve complex challenges with some of the world's largest companies. Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. Role Location Annual Salary Range California $136,800 to $237,600 Cleveland $136,800 to $237,600 Colorado $136,800 to $237,600 District of Columbia $136,800 to $237,600 Illinois $136,800 to $237,600 Minnesota $136,800 to $237,600 Maryland $136,800 to $237,600 Massachusetts $136,800 to $237,600 New York/New Jersey $136,800 to $237,600 Washington $136,800 to $237,600 In addition to base pay, this Sales role is eligible for additional incentive compensation under the Sales Achievement Bonus Plan which is based on achievement toward individual sales targets, subject to Plan terms. Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at **************** or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of Accenture Equal Opportunity and Affilative Action Policy Statement Accenture is an EEO and Affiantive Action Employer of Females/Minorities/Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. #J-18808-Ljbffr

Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a frontend-focused full-stack engineer to help build AI-powered applications that redefine enterprise workflows and push the boundaries of interactive AI. This role is ideal for someone who thrives in a fast-paced environment, enjoys working on a diverse set of projects, and has a passion for crafting high-quality, intuitive user experiences. At Scale, you'll work on a mix of cutting-edge customer-facing AI applications and internal SaaS products. Our engineering team powers projects like TIME's Person of the Year AI experience (see it in action), where our AI technology helped shape one of the most iconic features in media. You'll also contribute to Scale's GenAI Platform (SGP), a powerful system that enables businesses to build and deploy AI agents at scale. Whether it's developing interactive AI assistants, enterprise-grade web applications, or refining our core SaaS platform, you'll play a crucial role in shaping how AI integrates into real-world applications. You Will: Build and enhance user-facing AI applications for major enterprise customers, including high-profile media and Fortune 500 companies Develop and refine features for Scale's GenAI Platform, empowering businesses to build, deploy, and manage AI-driven agents Design, build, and optimize polished, high-performance UIs using Next.js, React, TypeScript, and Tailwind Work closely with product managers, designers, and AI/ML teams to create seamless, intuitive, and impactful user experiences Integrate frontend applications with backend services, working with APIs, authentication systems, and cloud-based infrastructure Ship features at a rapid pace while maintaining a high level of code quality, performance, and accessibility Ideally, You Have: 5+ years of experience developing frontend or fullstack applications in a modern tech stack Strong proficiency in Next.js, React, TypeScript, and Tailwind, with an eye for building polished, user-friendly interfaces Experience working on high-visibility, customer-facing applications and making trade-offs between speed and quality in fast-paced environments A passion for AI and experience working on interactive AI applications, agent-based systems, or data-rich web platforms Familiarity with backend technologies such as FastAPI, PostgreSQL, GraphQL, and cloud infrastructure like AWS, Azure, or GCP A track record of collaborating cross-functionally with design, product, and ML teams to bring AI-powered applications to life This role is a unique opportunity to shape the future of AI-powered user experiences, working on projects that impact millions of users while developing tools that empower businesses to deploy AI at scale. If you're excited by the intersection of AI, frontend engineering, and product design, we'd love to hear from you. The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is $248,400-$310,500 USD . Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$248,400-$310,500 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

About Us: Modal provides the infrastructure foundation for AI teams. With instant GPU access, sub-second container startups, and native storage, Modal makes it simple to train models, run batch jobs, and serve low-latency inference. Companies like Suno, Lovable, and Substack rely on Modal to move from prototype to production without the burden of managing infrastructure. We're a fast-growing team based out of NYC, SF, and Stockholm. We've hit 9-figure ARR and recently raised a Series B at a $1.1B valuation. We have thousands of customers who rely on us for production AI workloads, including Lovable, Scale AI, Substack, and Suno. Working at Modal means joining one of the fastest-growing AI infrastructure organizations at an early stage, with many opportunities to grow within the company. Our team includes creators of popular open-source projects (e.g. Seaborn, Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We're looking for strong engineers with experience building developer tools that users love to work with. Our ideal candidate is someone with a demonstrated drive to build beautiful interfaces that enhance developer productivity. Requirements: * 5+ years of experience developing high-quality Python libraries with broad user-bases, ideally including some experience maintaining open-source software. * Knowledge of advanced Python features, especially async programming. * A strong product sense that manifests as a focus on developer ergonomics and productivity. * A high level of customer empathy, good communication skills, and an openness to working directly with our users to help solve their problems. * Ability to work in-person in our NYC or Stockholm office. * Any of the following would be a plus: * Familiarity with modern data / ML / AI tools and workflows * Experience with Typescript, Go, or Rust

Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? We're looking for an experienced machine learning researcher / engineer who can help us push the frontiers of agentic LLM systems. As a part of the team, you will help drive exploration and development of agentic techniques and have the opportunity to build the models that power our agentic solutions. Agentic LLM systems are being deployed widely across enterprise companies including through Cohere's North platform. In this role, you'll be working with a team developing new strategies for training models for advanced agent capabilities including reasoning, tool use, and memory. This includes developing data-generation techniques for post-training (SFT and RL*) Cohere's models. Model advancements have direct impacts on North and other Cohere products creating an exciting opportunity where core model development leads to direct product advancements. Please Note: We have offices in London, Toronto, San Francisco, and New York, but we also embrace being remote-friendly! Our preference for this role is that you are based in Eastern Time, New York office, remote or hybrid works! As a Member of Technical Staff for Agents Modeling you will: * Design and develop novel agentic solutions * Improve upon SOTA on hard agentic tasks * Research the next-generation of on-line learning-from-experience self-improvement * Work with partner teams (Reasoning, Post-training, Pre-training, etc.) to improve performance of agentic system * Work with an amazing team of researchers and engineers pushing the boundaries You may be a good fit if you have: * Have a PhD in computer science or related field or similar industry research experience * Strong software engineering skills * Proficiency in Python and experience with ML-related code (e.g., pytorch, numpy, etc.) * Experience with LLMs and agentic frameworks * Experience with post-training LLMs (SFT, PEFT, or RL*) * Experience with building synthetic data generation pipelines If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. Full-Time Employees at Cohere enjoy these Perks: An open and inclusive culture and work environment Work closely with a team on the cutting edge of AI research Weekly lunch stipend, in-office lunches & snacks Full health and dental benefits, including a separate budget to take care of your mental health 100% Parental Leave top-up for up to 6 months Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend ️ 6 weeks of vacation (30 working days!)

About us ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets. Founders: Early GPU cloud (9 figure exit). Investors: Garry Tan / YC + Founder of one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), top-tier angels. About the Role You'll architect, build, and maintain the distributed systems, APIs, and backend infrastructure that power world-class AI research and deployment. Your work will enable rapid experimentation, robust data flows, and scalable compute. This is a hands-on role for someone who thrives in small, high-agency teams. Responsibilities Design and implement scalable backend services, data pipelines, and APIs Build infrastructure for high-throughput, low-latency AI/ML workflows Set up and manage databases (SQL/NoSQL), including schema design, replication, indexing, and performance optimization Optimize for performance, reliability, and security at every layer Implement observability best practices (logging, tracing, monitoring, performance tuning) Work closely with research and infra teams to support experimental velocity Contribute to core engineering culture, including code reviews and mentorship Requirements 3+ years building distributed systems or high-availability backends (preferably in fast-moving or high-stakes environments) Strong proficiency in Python and at least one systems language (e.g., Go, Rust, C++) Experience with cloud platforms, containerization, and orchestration (AWS/GCP/Azure, Docker, Kubernetes) Database setup, management, and optimization experience (SQL/NoSQL) Relentless focus on code quality, correctness, and performance Comfortable leveraging modern AI coding tools (Cursor, Claude Code, Codex, etc.) to increase productivity & code output while maintaining high code quality, maintainability, and structure Bonus - Agentic workflows / applied AI integration Experience supporting or integrating agentic AI workflows into backend systems (e.g., LangChain, LangGraph, Semantic Kernel, Haystack, or custom frameworks) Familiarity with persistence/checkpointing, streaming pipelines, and vector/knowledge store integrations Why Join ATG We're building a small, elite team. If you're excited by AI, markets, and building from first principles, we'd love to meet you. Work on AI with a massive market opportunity Early team of repeat founders backed by top investors High agency, talent dense, zero bureaucracy

Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that's enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. As a Staff Software Engineer, you will define and drive both the architectural roadmap and implementation of core platforms and software systems. You will be responsible for providing high-level vision and driving adoption across the engineering org for orchestration, data abstraction, data pipelines, identity & access management, and underlying cloud infrastructure. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. Impact and Responsibilities: Architectural Vision: You will drive the design and implementation of foundational systems, acting as a bridge between high-level business goals and technical goals. Cross-Functional Leadership: You will collaborate with cross-functional teams to define and drive adoption of the next generation of features for our AI data infrastructure. Technical Ownership: You are responsible for proactively identifying and driving opportunities for organizational growth, driving improvements in programming practices, and upgrading the tools that define our development lifecycle. Technical Mentorship: You will serve as a subject matter expert, presenting technical information to stakeholders and providing the guidance to elevate the engineering culture across the company. Ideally you'd have: 8+ years of full-time engineering experience, post-graduation with specialities in back-end systems. Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred). Demonstrated a track record of independent ownership and leadership across successful multi-team engineering projects Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders. Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc. Experience with orchestration platforms, such as Temporal and AWS Step Functions. Experience with NoSQL document databases (MongoDB) and structured databases (Postgres). Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, ArgoCD). Nice to haves: Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt). Experience scaling products at hyper-growth startups. Excitement to work with AI technologies. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$248,400-$310,500 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? We're looking for an experienced machine learning researcher / engineer who can help us push the frontiers of agentic LLM systems. As a part of the team, you will help drive exploration and development of agentic techniques and have the opportunity to build the models that power our agentic solutions. Agentic LLM systems are being deployed widely across enterprise companies including through Cohere's North platform. In this role, you'll be working with a team developing new strategies for training models for advanced agent capabilities including reasoning, tool use, and memory. This includes developing data-generation techniques for post-training (SFT and RL*) Cohere's models. Model advancements have direct impacts on North and other Cohere products creating an exciting opportunity where core model development leads to direct product advancements. Please Note: We have offices in London, Toronto, San Francisco, and New York, but we also embrace being remote-friendly! Our preference for this role is that you are based in Eastern Time, New York office, remote or hybrid works! As a Member of Technical Staff for Agents Modeling you will: Design and develop novel agentic solutions Improve upon SOTA on hard agentic tasks Research the next-generation of on-line learning-from-experience self-improvement Work with partner teams (Reasoning, Post-training, Pre-training, etc.) to improve performance of agentic system Work with an amazing team of researchers and engineers pushing the boundaries You may be a good fit if you have: Have a PhD in computer science or related field or similar industry research experience Strong software engineering skills Proficiency in Python and experience with ML-related code (e.g., pytorch, numpy, etc.) Experience with LLMs and agentic frameworks Experience with post-training LLMs (SFT, PEFT, or RL*) Experience with building synthetic data generation pipelines If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. Full-Time Employees at Cohere enjoy these Perks: 🤝 An open and inclusive culture and work environment 🧑 💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks 🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months 🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement 🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend ✈️ 6 weeks of vacation (30 working days!)

About us ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets. Founders: Early GPU cloud (9 figure exit). Investors: Garry Tan / YC + Founder of one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), top-tier angels. Responsibilities Design and implement core quantitative systems for allocation, risk, and optimization in complex, real-world environments. Formulate and analyze multi-objective optimization problems (e.g., risk/return, constraints, transaction and implementation frictions) and turn them into robust, solvable formulations. Develop simulation, backtesting, and evaluation frameworks to understand system behavior under varying regimes and stress scenarios. Collaborate closely with engineers and product to integrate quantitative logic into reliable, maintainable services and APIs. Prototype new approaches quickly, run experiments, and iterate based on empirical results. Establish standards for model quality, validation, monitoring, and numerical stability in production systems. Document assumptions, constraints, and design rationales so the broader team can build on your work. Requirements Strong quantitative background (e.g., mathematics, physics, computer science, operations research, statistics, or similar). Deep expertise in at least one of: optimization (convex/non-convex), stochastic processes, numerical methods, or quantitative finance. Experience designing and implementing quantitative or algorithmic decision systems (research + production, not just toy models). Proficiency in Python and familiarity with scientific/ML tooling (NumPy, JAX/PyTorch, Pandas, etc.); experience with a systems language (C++/Rust/Go) is a plus. Ability to reason from first principles, simplify complex objective spaces, and choose the right level of modeling detail for the problem. Track record of turning mathematical ideas into clean, reliable, well-tested code that can run in production. Comfort working with real-world data (noisy, incomplete, biased) and building pipelines and checks around it. Habit of staying current on advances in optimization, quantitative methods, and AI tools-and using those tools (Cursor, Copilot-style assistants, etc.) to increase velocity while keeping code quality high. Why Join ATG We're building a small, elite team. If you're excited by AI, markets, and building from first principles, we'd love to meet you. Work on AI with a massive market opportunity Early team of repeat founders backed by top investors High agency, talent dense, zero bureaucracy

Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that's enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the architecture, design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. Collaborate with cross-functional teams to define, design, and deliver new features. Proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades. Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies. Provide technical leadership, including: upholding and upleveling engineering standards across the organization, mentoring junior engineers. Ideally you'd have: 8+ years of full-time engineering experience, post-graduation with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems. Extensive experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.). Show a track record of mentoring and leading teams in successful projects. Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders. Experience working fluently with standard containerization & deployment technologies like Kubernetes and various public cloud offerings. Extensive experience in software development and a deep understanding of distributed systems, cloud platforms and data systems. Experience driving cross functional collaboration and communication at an organizational or broader level. Nice to haves: Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI). Experience with performance tuning and cost optimizations of cloud based data platforms. Experience defining a data lifecycle strategy and designing/implementing tooling for data privacy (i.e. GDPR) needs. Experience scaling products at hyper-growth startups. Excitement to work with AI technologies. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$248,400-$310,500 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? Our team is a fast-growing group of researchers and engineers focused on building reliable ML systems and pushing the boundaries of LLM inference efficiency. We develop techniques that improve how models execute in production, driving lower latency, higher throughput, and consistent quality across diverse workloads. As an engineer on this team, you'll work across the inference stack to improve core performance metrics by diving deep into model execution, identifying bottlenecks, and developing innovative optimizations. You'll collaborate closely with modeling and systems teams to experiment, measure, and ship improvements that meaningfully accelerate inference. As the team evolves, you'll have opportunities to build expertise in advanced performance techniques, including GPU/CUDA optimizations, kernel-level improvements, and model execution strategies for MoE and large-scale architectures. Please Note: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations. You may be a good fit for the Model Efficiency team if you have: 5+ years of experience writing high-performance, production-quality code Strong programming skills in C++ or Python (Rust/Go also welcome) Experience working with large language models and familiarity with the LLM inference ecosystem (e.g., vLLM, SGLang, etc.) Ability to diagnose and resolve performance bottlenecks across the model execution stack A strong bias for action - you ship fast, measure impact, and iterate It's a big plus if you have experience with: GPU programming, CUDA, or low-level systems optimization Language modeling with transformers (MoE, speculative decoding, KV-cache optimizations) Scaling performance-critical distributed systems (e.g., computation, search, storage) If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. Full-Time Employees at Cohere enjoy these Perks: 🤝 An open and inclusive culture and work environment 🧑 💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks 🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months 🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement 🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend ✈️ 6 weeks of vacation (30 working days!)

About us ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets. Founders: Early GPU cloud (9 figure exit). Investors: Garry Tan / YC + Founder of one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), top-tier angels. About the Role You'll build core user interfaces, APIs, and backend infrastructure to support rapid research and experimentation. You'll operate across the stack-designing, shipping, and maintaining everything from frontend to backend for our internal tools and experiment platforms. Responsibilities Design, build, and maintain frontend applications (web and/or mobile) and backend APIs for research, data, and operational tools. Collaborate closely with researchers and engineers to understand and accelerate workflows. Build internal dashboards, web apps, data visualizations for monitoring and experimentation, and assist in mobile app development. Maintain high standards for code quality, usability, and performance. Requirements 3+ years experience as a full stack engineer (startup, lab, or product environment). Strong skills in modern JavaScript/TypeScript frameworks (e.g., React, Next.js) and backend (Python, Node, Go, etc.). Experience building, testing, and deploying production web applications. Experience with backend systems and APIs (Python, Node, Go, etc.). Experience building frontend web applications (React, Next.js, TypeScript, etc.). (Optional) Experience building mobile applications (React Native, Flutter, Swift, Kotlin, etc.). Ability to work autonomously and thrive in a high-velocity, research-driven culture. Expertise in leveraging the latest AI tools (Cursor, Claude Code, Codex, etc) to increase productivity & code output while maintaining high code quality, maintainability, and structure. Why Join ATG We're building a small, elite team. If you're excited by AI, markets, and building from first principles, we'd love to meet you. Work on AI with a massive market opportunity Early team of repeat founders backed by top investors High agency, talent dense, zero bureaucracy