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Location San Francisco (hybrid), Toronto (hybrid) Employment Type Full time Location Type Hybrid Department Data Science Compensation San Francisco: $176K - $265K • Offers Equity Toronto: CA$147K - CA$220K • Offers Equity The salary range provided reflects the compensation that EvenUp reasonably expects to offer for this role. The specific salary within this range will be determined based on various factors, including the candidate's relevant experience, education, skills, location, and alignment with the role's responsibilities. EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at . About the team: At EvenUp, we leverage cutting-edge AI to bring fairness and accessibility to the legal system. Tackling the most complex legal document challenges requires expertise in data quality, robust model development, and ongoing innovation. We are looking for a curious, impact-driven early career Machine Learning Engineer eager to join EvenUp's mission. You'll develop and deploy models that power Piai, our proprietary claims-intelligence platform, with a focus on machine learning, natural-language processing, and generative AI. Working alongside senior ML engineers, data scientists, and legal subject-matter experts, you'll turn raw legal and medical data into production-ready models that directly improve justice for personal-injury clients. Core Responsibilities Design and implement end-to-end ML systems for retrieval-augmented generation (RAG), vector search, and fine-tuning pipelines. Build and optimize data pipelines that integrate structured, unstructured, and embeddings-based data into ML workflows. Develop frameworks and reusable components for data extraction, evaluation, and benchmarking of LLMs and other models. Collaborate with data scientists and product teams to translate business problems into ML system designs. Research, prototype, and productionize state-of-the-art techniques in semantic search, embeddings, and prompt engineering. Implement evaluation strategies for ML systems, including relevance metrics, quality scores, and human-in-the-loop workflows. Ensure scalability and efficiency of ML workflows, including large-scale embedding generation and retrieval pipelines. Work with machine learning platform engineers to integrate ML frameworks into production environments. Document system architectures and create internal best practices for building ML/AI frameworks. Optional Skills Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus, Elasticsearch/OpenSearch). Familiarity with retrieval frameworks (LangChain, LlamaIndex, custom retrieval pipelines). Strong software engineering skills (Python, distributed computing, APIs). Strong knowledge of transformer models (LLMs, embeddings, fine-tuning methods like LoRA, PEFT). Understanding of evaluation methodologies for generative AI (RAG benchmarks, hallucination reduction, factual grounding). Notice to Candidates: EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team - please know that we have no affiliation or connection to these situations. We only post open roles on our career page () or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the or no email addresses. To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you're interested in a role, please submit your application directly through our careers page. If you receive communication from someone you believe is impersonating EvenUp, please report it to us at . Examples of fraudulent domains include and . Benefits & Perks: As part of our total rewards package, we offer attractive benefits and perks to our employees, including: Choice of medical, dental, and vision insurance plans for you and your family Additional insurance coverage options for life, accident, or critical illness Flexible paid time off, sick leave, short-term and long-term disability 10 US observed holidays, and Canadian statutory holidays by province A home office stipend 401(k) for US-based employees and RRSP for Canada-based employees Paid parental leave A local in-person meet-up program Hubs in San Francisco and Toronto Note: These benefits & perks apply to full-time employees. EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Compensation Range: $176K - $265K

We are hiring a Senior Data Scientist, Dynamic Pricing at Turo. About The Team Turo's Dynamic Pricing team builds the pricing intelligence that powers recommendations for over 200,000 vehicles globally. This foundational economic engine influences tens of millions of pricing decisions each day. These models directly shape guest demand, host profitability, and the overall efficiency and balance of our two sided marketplace. The team is small, high impact, and works across the full life cycle-from research and development to deployment, experimentation and iteration. What You Will Do You will own complex pricing challenges spanning demand modeling, supply-demand dynamics, causal inference, and optimization under uncertainty. You will be a creative, rigorous data scientist energized by mathematically complex, ambiguity rich problems, and you'll translate unstructured questions into statistical frameworks and deployed solutions. Responsibilities Modeling & Causal Inference Lead end to end development of dynamic pricing models: from problem framing to deployment and iteration using demand modeling, causal inference, and market simulation. Develop new approaches to pacing, lead time dynamics, seasonality, and price elasticity to improve pricing accuracy and marketplace efficiency. Build frameworks to measure how pricing decisions affect marketplace health, host earnings, and guest conversion; design experiments that account for two sided marketplace interactions and spillover effects. Product & Cross Functional Leadership Translate ambiguous business problems into deployable modeling solutions and influence product strategy through clear communication to both technical and executive audiences. Shape and evaluate product initiatives that improve host experience and profitability, aligning cross functional teams on metrics, assumptions, and key trade offs. Technical Excellence Write production ready Python code; own model deployment, monitoring, and retraining. Drive team standards for reproducibility, ML ops, and scientific rigor. Your Profile 5+ years of relevant industry experience and an advanced degree in a quantitative field. Deep expertise in statistics, econometrics, optimization, and ML with demonstrated application to pricing or prediction problems. Strong causal inference background: experiment design, quasi experimental methods, and structural modeling. Experience with marketplace or platform problems and solid understanding of economics, including supply demand dynamics and elasticity modeling. Python proficiency; fluent in SQL and large scale data work. Exceptional communication skills, capable of distilling complex modeling work into clear, strategic narratives for executive leadership. Self driven learner with strong ownership, attention to detail, and a drive for delivering real business impact. Preferred Qualifications PhD in a quantitative field such as economics, statistics, machine learning, etc. Background in market design, dynamic programming, or advanced statistical methods (hierarchical models, time series forecasting, survival analysis, Bayesian inference, synthetic control). Track record shipping pricing or optimization systems to production. Experience with AWS stack or similar cloud infrastructure. Compensation Target base salary range in San Francisco: $156,000-$195,000 annually. The role also eligible for equity and benefits. Pay is determined by objective factors such as job related skills, experience, and education. We encourage you to speak with a recruiter to learn more about the total compensation and benefits available. Work Environment Turo highly values in office collaboration. This role will be in office on a hybrid schedule - 3 days per week on Mondays, Wednesdays, and Thursdays. Working in the office at least 3 days per week is an essential function of this hybrid role. Benefits Competitive salary, equity, benefits, and perks for all full time employees. Employer paid medical, dental, and vision insurance (country specific). Retirement employer match. Learning & Development stipend to invest in your professional development. Turo host matching program. Turo travel credit. Cell phone and internet stipend. Paid time off to relax and recharge. Paid holidays, volunteer time off, and parental leave. In office lunch, office snacks, and fun activities for in office employees. Diversity & Inclusion We are committed to building a diverse team. If you come from a background that is under represented in tech, we'd love to meet you. Even if you don't meet every qualification, we consider enthusiasm for what we do and will consider you for this and other possibilities. About Turo Turo is the world's largest car sharing marketplace where you can book the perfect car for wherever you're going, from a vibrant community of trusted hosts across the U.S., U.K., Canada, Australia, and France. Discover Turo at the App Store, and Google Play. Read more about Turo culture in the blog Field Notes and through Turo CEO Andre Haddad. Equal Opportunity Employer Turo is an Equal Opportunity Employer and a participant in the U.S. Federal E Verify program. Women, minorities, individuals with disabilities, and protected veterans are encouraged to apply. We welcome people of different backgrounds, experiences, abilities, and perspectives. Turo will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance, as applicable. We welcome candidates with physical, mental, and/or neurological disabilities. If you require assistance applying for an open position or need accommodation during the recruiting process due to a disability, please submit a request to People Operations by emailing .

The Principal Artificial Intelligence & Machine Learning Engineer I/Scientist I works within the Artificial Intelligence Operations and Data Science Services group (AIOS) in the Informatics & Analytics department of Dana Farber Cancer Institute - a teaching affiliate of Harvard Medical School. The Principal Artificial Intelligence & Machine Learning Engineer I/Scientist I works in a team environment on both short term priorities identified by our top clinicians, as well as on long term institutional efforts that aim at revolutionizing the way the Institute conducts basic cancer research and provides best in class clinical oncology to our patients. AIOS is part of the department serving some of the most prominent research and clinical programs at the Institute, from basic to translational research, to clinical deployment, and operationalization. The AIOS group encompasses expertise in AI, data science, machine learning, computer vision, NLP, production deployment, cloud infrastructure, data engineering, project management standards, and data labeling. Dana Farber Cancer Institute (DFCI) provides expert, compassionate, and equitable care to children, adults, and their families, while advancing the understanding, diagnosis, treatment, cure, and prevention of cancer and related diseases. DFCI trains new generations of clinicians and scientists, disseminate innovative patient therapies and scientific discoveries around the world, and reduce the impact of cancer, while maintaining a focus on those communities who have been historically marginalized. Located in Boston and the surrounding communities, Dana Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School affiliated hospitals. Meeting and consulting with physician scientists requiring machine learning & AI support and designing plans and solutions, participating in their research activities, as well as supporting them in the grant writing, and leading research efforts when required. Interpreting complex machine learning & AI information. Summarizing and presenting results to senior leadership. Monitoring new developments in the field and has vision for staying at the cutting edge. Recognizing and reporting problems with the machine learning & AI process and identifying solutions. Minimum Education: Master's degree required; PhD preferred. Minimum Experience: 8 years of relevant experience required with Master's degree or 7 years of relevant experience required with PhD. Deep machine learning & AI skills, at the interface with computer science. Python experience is required; R experience is a plus. Experience within a clinical or research environment preferred. Experience managing at least one person is preferred. KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: Strong team player with the ability to leverage the many excellent groups and resources at DFCI and Harvard more broadly and build collaborative strategies. Ability to communicate and solve problems effectively, track record in serving a variety of diverse customers and projects and of leading teams. Ability to work independently, prioritize, and manage people if needed, within an environment with rapidly changing priorities. Experience to teach three or more of the following: Natural language processing or Computer vision technologies, Transformers, Adversarial / Generative models, JAX + Flex / Haiku, Vision Transformers, Federated learning, AutoML, Self supervised learning, Causal ML, Reinforcement learning, Infrastructure as Code, DataOps (versioning, lineage, and governance), AIOps & MLOps life cycle (from deployment to monitoring to retirement), explainable AI, batch/online/streaming/edge training/inference, fully reproducible and auditable ML practices, CI/CD for large language models and large vision models, Multi Cloud & Hybrid data platforms, productized Docker/Spark/Kubernetes solutions such as Databricks and Snowflake, High throughput big data processing under redundancy / low latency requirements. Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA) $154,000 - $184,500 At Dana Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff that offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEOC Poster

Overview Data Science contributes to Cardinal Health within the Data & Analytics Function, which oversees the analytics life-cycle to identify, analyze and present insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base scientific methodologies from various disciplines, techniques and tools to extract knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and AI. Our mission is to leverage data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. Responsibilities Lead the Development of Innovative AI solutions: design, implement, and scale sophisticated AI solutions that address key business challenges within healthcare by leveraging areas such as Machine Learning, Generative AI, and RAG Technologies. Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. Explore and leverage Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate outputs. Shape Our AI Strategy: Work with stakeholders across the organization to understand needs and translate them into actionable AI-driven or AI-powered solutions. Act as a champion for AI within Cardinal Health, influencing the technology roadmap and aligning with business objectives. Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a distributed team, fostering a collaborative and innovative environment. Embrace an AI-Driven Culture: promote data-driven decision-making and use AI insights to drive business outcomes and improve customer experience and patient care. Qualifications 8-12 years of experience with a minimum of 4 years in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred Bachelor's degree in related field, or equivalent work experience, preferred GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth Experience building production-ready Generative AI Applications involving RAGs, LLMs, vector databases and embeddings models. Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. Experience with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support, preferred. Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences, preferred. Proficiency in Python, statistical programming languages, ML libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools, preferred. Experience in Cloud Functions, Vertex AI, MLFlow, Storage Buckets, IAM Principles and Service Accounts, preferred. Experience building end-to-end ML pipelines from data ingestion and feature engineering to model training, deployment, and scaling, preferred. Experience implementing CI/CD pipelines for ML models and other solutions, ensuring seamless production deployment, preferred. Familiarity with RESTful API design and implementation, including building APIs to integrate ML models and GenAI solutions with existing systems, preferred. Understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with emphasis on ML/GenAI, preferred. Experience in Agile development environments (Scrum or Kanban) and strong understanding of Agile principles, preferred. Familiarity with DevSecOps principles and practices, incorporating coding standards and security into the development lifecycle, preferred. What is expected of you and others at this level Applies advanced knowledge to manage a wide variety of projects Participates in developing policies and procedures to achieve goals Recommends new practices, processes, metrics, or models Works on or may lead complex projects of large scope Projects may have significant and long-term impact Provides solutions that may set precedent Independently determines methods for completion of new projects Receives guidance on overall project objectives Acts as a mentor to less experienced colleagues Anticipated salary range: $121,600 - $173,700 Bonus eligible: Yes Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being. Medical, dental and vision coverage Paid time off plan Health savings account (HSA) 401k savings plan Access to wages before pay day with myFlexPay Flexible spending accounts (FSAs) Short- and long-term disability coverage Work-Life resources Paid parental leave Healthy lifestyle programs Application window anticipated to close: 11/05/2025 If interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by factors including geographical location, relevant education, experience and skills and an evaluation of internal pay equity. Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply. Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law. To read and review this privacy notice click here ()

About Us Sustainable Talent provides flexible workforce solutions, connecting top-tier talent with leading global organizations. We partner with some of the world's most innovative companies to help them scale their teams with the right expertise. This opportunity is with one of our global high-tech clients, a leader in AI-driven technology and digital transformation. Our client is at the forefront of artificial intelligence, leveraging cutting-edge data science and machine learning to solve complex challenges. About the Role Our client is seeking a Python Developer to develop and optimize applications that support machine learning and data science initiatives. You'll work on building scalable data pipelines, deploying AI models, and ensuring performance and efficiency in production environments. Collaboration with data scientists and cross-functional teams will be key to transforming research into real-world solutions. If you're passionate about AI, cloud technologies, and writing clean, efficient code, this is an exciting opportunity to contribute to cutting-edge innovation. What You'll Do Develop and optimize Python-based applications that support data science and machine learning initiatives. Implement and deploy machine learning models using TensorFlow, PyTorch, and Scikit-learn. Design and build scalable data pipelines to preprocess and transform large datasets for AI/ML applications. Work closely with data scientists to translate research into production-ready ML solutions. Develop predictive analytics and deep learning solutions to enhance business intelligence and decision-making. Ensure model performance optimization and scalability in production environments. Integrate ML models into cloud-based platforms (AWS, GCP, Azure) and microservices architectures. Write clean, efficient, and well-documented Python code following software engineering best practices. Collaborate with cross-functional teams to drive innovation and improve AI-driven products. What We're Looking For 7+ years of software engineering experience with a strong focus on Python development. Expertise in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn. Proficiency in data manipulation and processing libraries (Pandas, NumPy, SciPy). Strong understanding of predictive analytics, deep learning, and AI model development. Hands-on experience with big data processing technologies, including Spark, Hadoop, or Databricks. Proficiency in cloud platforms (AWS, GCP, or Azure) and MLOps best practices. Experience working with databases such as PostgreSQL, MySQL, MongoDB, or NoSQL databases. Strong knowledge of data structures, algorithms, and software engineering principles. Experience with API development and integrating AI models into scalable applications. Strong problem-solving skills and ability to communicate complex technical concepts effectively. Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or equivalent experience. Why Join Us? Work with a global high-tech AI-driven company leading in data science and machine learning. Engage in high-impact AI/ML projects that drive innovation and business intelligence. Competitive salary and career growth opportunities. We offer full benefits, flexible PTO, and amazing company culture! Be part of a diverse, inclusive, and collaborative work environment that fosters creativity and excellence. How to Apply If you're an experienced Senior Python Developer passionate about AI, machine learning, and data-driven innovation, we want to hear from you! Apply today by submitting your resume and a brief cover letter detailing your relevant experience. Sustainable Talent is an Equal Opportunity Employer and is committed to fostering an inclusive workplace. We prohibit discrimination and harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected characteristic under applicable laws.

Join to apply for the Senior Data Scientist role at Jobright.ai 2 days ago Be among the first 25 applicants Join to apply for the Senior Data Scientist role at Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. As a founding Data Scientist on the Strategic Finance Data Science team, you will design and implement critical models and analyses to support strategic decision-making and resource allocation across the organization. Responsibilities: • Become an expert in OpenAI's data and systems. Partnering with Data Engineering, Finance, and other teams, you'll self-serve data to derive critical insights. • Scale causal inference models to measure the impact of different actions on user growth and financial outcomes. • Architect customer segmentation frameworks to unlock tailored growth strategies and expand lifetime value. • Automate standardized reporting and analysis by building data products or agentic solutions. • Support product pricing and other business decisions with ad hoc analysis. • Design and deliver dashboards for leadership to track key performance indicators and enable optimal decision-making. • Manage and lead cross-functional data science projects end-to-end. Qualifications: Required: • MS or PhD in a quantitative field, with 7+ years of experience in a highly quantitative role, ideally as an early data scientist at a hyper-growth company or research organization. • Proficiency in Python, SQL, Tableau, and other analytical tools. • Strong analytical skills and experience working with large, complex data sets. • Proven ability to distill complex data into actionable insights for leadership. • Ability to independently initiate and complete projects, owning them end-to-end. • Excellent communication and storytelling skills when presenting data insights. • Exceptional attention to detail and a commitment to accuracy. Preferred: • You're an enthusiastic self-starter who thrives in fast-paced, dynamic environments. • You're a phenomenal teammate and communicator, able to explain complex topics with clarity and keep stakeholders proactively informed. • You're passionate about technology and artificial intelligence. • You use first-principles thinking to design solutions from the ground up based on user needs and operational realities. Company: OpenAI creates artificial intelligence technologies to assist with tasks and provide support for human activities. Founded in 2015, the company is headquartered in San Francisco, California, USA, with a team of 201-500 employees. The company is currently Growth Stage. OpenAI has a track record of offering H1B sponsorships. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function IndustriesSoftware Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified about new Data Scientist jobs in San Francisco, CA . San Francisco, CA $140,000.00-$170,000.00 3 days ago San Francisco, CA $140,000.00-$170,000.00 2 weeks ago San Francisco, CA $121,900.00-$161,600.00 4 days ago San Francisco, CA $150,000.00-$160,000.00 2 weeks ago San Francisco, CA $255,000.00-$405,000.00 3 days ago San Francisco, CA $122,000.00-$167,000.00 5 days ago Machine Learning Engineer (I, II, or Sr.) San Francisco, CA $190,000.00-$230,000.00 3 weeks ago San Francisco, CA $144,000.00-$192,000.00 3 weeks ago San Francisco, CA $85,000.00-$120,000.00 3 hours ago South San Francisco, CA $54.00-$97.00 2 weeks ago San Bruno, CA $119,000.00-$169,000.00 2 months ago San Francisco, CA $115,000.00-$185,000.00 3 weeks ago Data Scientist II - Experimentation & Measurement San Mateo, CA $153,300.00-$229,900.00 2 weeks ago San Francisco, CA $149,998.00-$250,000.00 6 days ago San Francisco County, CA $180,000.00-$250,000. hours ago San Francisco, CA $90,000.00-$150,000.00 1 month ago San Francisco, CA $152,000.00-$190,000.00 2 weeks ago San Francisco, CA $100,000.00-$200,000.00 7 months ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

About Quizlet At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We're energized by the potential to power more learners through multiple approaches and various tools. Let's Build the Future of Learning Join us to design and deliver AI powered learning tools that scale across the world and unlock human potential. About The Team The Personalization & Recommendations ML Engineering team builds the core intelligence behind how Quizlet matches learners with content, activities and experiences that best fit their goals. We power recommendation and search systems across multiple surfaces, from home feed and search results to adaptive study modes. Our mission is to make Quizlet feel uniquely tailored for every learner by combining cutting edge machine learning, scalable infrastructure and insights from learning science. You'll collaborate closely with product managers, data scientists, platform engineers and fellow ML engineers to deliver personalized learning pathways that drive engagement, satisfaction and measurable learning outcomes. About The Role As a Senior or Staff Machine Learning Engineer on the Personalization & Recommendations team, you'll design and build large scale retrieval, ranking, and recommendation systems that directly shape how learners discover and engage with Quizlet. You'll bring deep expertise in modern recommender systems - from deep learning based retrieval and embeddings to multi task ranking and evaluation - and help evolve Quizlet's personalization stack to power adaptive, effective learning experiences. You'll work at the intersection of machine learning, product design, and scalable systems, ensuring our recommendations are performant, responsible, and aligned with learner outcomes, privacy, and fairness. This is an onsite position in our San Francisco office; employees are required to work in the office at least three days per week (Monday, Wednesday, and Thursday). In This Role, You Will Design and implement personalization models across candidate retrieval, ranking, and post ranking layers, leveraging user embeddings, contextual signals, and content features. Develop scalable retrieval and serving systems using architectures such as Two Tower, deep ranking, and ANN based vector search for real time personalization across surfaces. Build and maintain model training, evaluation, and deployment pipelines, ensuring reliability, training serving consistency, and robust monitoring. Partner closely with Product and Data Science to translate learner objectives (engagement, retention, mastery) into measurable modeling goals and experimentation plans. Advance evaluation methodologies, refining offline metrics (e.g., NDCG, CTR, calibration) and supporting rigorous A/B testing to measure learner and business impact. Collaborate with platform and infrastructure teams to optimize distributed training, inference latency, and serving cost at scale. Contribute to the long term technical vision for personalization and recommendations, aligning modeling strategy with Quizlet's AI and product roadmaps. Stay current with RecSys research and industry trends, bringing relevant advances from top conferences (KDD, WSDM, SIGIR, RecSys, NeurIPS) into production. Mentor other engineers and applied scientists, fostering technical growth, experimentation rigor, and responsible ML practices. Champion collaboration, inclusion, and curiosity, helping build a team culture that values diverse perspectives and data driven problem solving. What You Bring To The Table 10+ years of experience in applied machine learning or ML heavy software engineering, with a strong focus on personalization, ranking, or recommendation systems. Track record of measurable impact, improving key online metrics such as CTR, retention, or engagement through recommender or search systems in production. Strong hands on skills in Python and PyTorch, with expertise in data and feature engineering, distributed training and inference on GPUs, and familiarity with modern MLOps practices - including model registries, feature stores, monitoring, and drift detection. Deep understanding of retrieval and ranking architectures, including Two Tower models, deep cross networks, Transformers, or MMoE, and how to apply them in production contexts. Experience with large scale embedding models and vector search (e.g., FAISS, ScaNN), including training, serving, and optimization at scale. Proficiency in experiment design and evaluation, connecting offline metrics (AUC, NDCG, calibration) with online A/B test results to drive product decisions. Ability to communicate complex technical ideas clearly, collaborating effectively with product managers, data scientists, and engineers across teams. Growth and mentorship mindset, contributing to team learning and helping raise the bar for modeling quality, experimentation, and reliability. Commitment to responsible and inclusive personalization, ensuring our ML systems respect learner privacy, fairness, and diverse goals. Bonus Points If You Have Publications or open source contributions in RecSys, search, or ranking. Familiarity with reinforcement learning for recommendations or contextual bandits. Experience with hybrid RecSys systems blending collaborative filtering, content understanding, and LLM based reasoning. Prior work in consumer or EdTech applications with personalization at scale. Compensation, Benefits & Perks Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $209,920 - $285,000, depending on location and experience, as well as company stock options. Collaborate with your manager and team to create a healthy work life balance. 20 vacation days that we expect you to take! Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice). Employer sponsored 401k plan with company match. Access to LinkedIn Learning and other resources to support professional growth. Paid Family Leave, FSA, HSA, commuter benefits, and wellness benefits. 40 hours of annual paid time off to participate in volunteer programs of choice. Why Join Quizlet • Massive reach: 60M+ users, 1B+ interactions per week • Cutting edge tech: Generative AI, adaptive learning, cognitive science • Strong momentum: Top tier investors, sustainable business, real traction • Mission first: Work that makes a difference in people's lives • Inclusive culture: Committed to equity, diversity, and belonging We strive to make everyone feel comfortable and welcome! We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing At Quizlet, we're excited about passionate people joining our team-even if you don't check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together. Quizlet's success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. 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A leading AI infrastructure company in San Francisco is looking for a Senior Data Scientist to drive data-driven decision-making. This pivotal role combines data analytics, machine learning, and business strategy to provide actionable insights. Candidates should have at least 5 years of experience, advanced knowledge of Python and SQL, and the ability to present findings to diverse audiences. The position offers competitive perks including flexible medical coverage, a 401(k) plan, and unlimited PTO.

Quanata is on a mission to help ensure a better world through context based insurance solutions. We are an exceptional, customer centered team with a passion for creating innovative technologies, digital products, and brands. We blend the best Silicon Valley talent and cutting edge thinking with the long term backing of leading insurer, State Farm. Learn more about us and our work at Our team ranges from data scientists and actuaries to engineers, designers and marketers. We're a world class group of tech minded professionals from some of the best companies in Silicon Valley and around the world, united to create the context based insurance solutions and experiences of the future. We know that the key to our success isn't just about nailing the technology-it's hiring talented people who will help us continue to make a quantifiable impact. The role We're seeking a senior backend engineer to build and enhance the critical services that power our business. You'll be developing systems that manage core financial and underwriting operations, coordinating dynamic machine learning models to increase the intelligence of our industry leading policy management solution, and optimizing our application's architecture and observability to meet the performance and reliability demands of our customers. Design and implement client facing and internal APIs Orchestrate data flows between backend systems Create and manage database schemas Build automated test suites Lead the design and implementation of substantial product features end to end Evaluate and integrate with third party services and tools Help to mentor mid level and junior engineers on your team About you Bachelor's degree or equivalent experience 5-7 or more years of experience in a full stack or backend role Proficient in Go Experience designing, developing, debugging, and deploying high performance client/server systems for mission critical applications Familiarity with a wide variety of database and messaging systems, with opinions on which to use when Comfort working with cloud based infrastructure providers and modern CI/CD Knowledge of security and testing best practices Strong communication and collaboration skills Growth mindset, and the humility to model it for others Willingness to take initiative and accountability Prior experience as a technical lead or people manager Familiarity with GraphQL, gRPC, Postgres, Mongo, Snowflake, Kafka, Python, TypeScript, Docker, Kubernetes, and AWS Experience in a financial sector such as insurance, banking, or investing Salary: $195,000 to $280,000 The final salary offered will be determined based on the candidate's skills, experience, and the internal salary structure at Quanata. Benefits: Medical, dental, vision, life insurance and supplemental income plans; Headspace app subscription; monthly wellness allowance; 401(k) with company match. Work from Home Equipment: One time payment of $2,000 to cover in home office equipment and furniture; MacBook Pros will be delivered fully provisioned. Paid Time Off: Four weeks of PTO in the first year; twelve weeks of fully paid parental leave for new parents. Personal and Professional Development: Up to $5,000 annually for professional learning; LinkedIn Learning subscriptions; coaching opportunities through BetterUp. Location: Remote first company; work from anywhere in the U.S. (excluding U.S. territories). Employees in the San Francisco Bay Area or Providence, Rhode Island may commute to local offices as desired. Occasional travel may be requested or encouraged but is not required. Hours: Core meeting hours from 9 AM to 2 PM Pacific Time for collaboration across time zones. Quanata, LLC is an equal opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. This role is employed by Quanata, LLC which is a separate company in the State Farm family of companies. If you require a reasonable accommodation, please reach out to your Talent Acquisition Partner for assistance.

Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead for its next generation of deep research agents for the Enterprise. This high impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable production systems that enhance enterprise operations, analytics, and core efficiency. Responsibilities Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI's overall AI strategy and business goals. Drive Breakthrough Research to Production: Lead the end to end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities. Advanced Knowledge Retrieval: Architect and implement state of the art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises. Data Analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas. Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base. Architecture & Design: Design and champion highly scalable, reliable, and low latency infrastructure and frameworks for building, orchestrating, and evaluating multi agent systems at enterprise scale. Technical Excellence: Serve as the technical authority for the team, leading design reviews, defining ML engineering best practices, and ensuring code quality, security, and operational excellence for all agent systems. Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth. Recruiting & Growth: Partner with management to hire, onboard, and grow top tier talent, helping to shape the long term structure and capabilities of the team. Cross Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high level business problems into concrete, executable technical specifications and impactful agent solutions. Basic Qualifications Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience. 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment. 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain. Deep expertise in Generative AI and Large Language Models (LLMs). Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale. Experience with large scale distributed systems and real time data processing. Preferred Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field. Demonstrated experience designing and deploying production grade Text to SQL systems, including handling complex schema linking and query optimization. Practical experience with Multimodal AI, specifically integrating OCR and vision language models for document intelligence and structured data extraction from images/forms. Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems. Experience with vector databases and advanced retrieval techniques. A track record of publishing research papers in top tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD). Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers. Experience driving cross team technical initiatives that have delivered significant business impact. Compensation Base salary range for this full time position in San Francisco, New York, and Seattle: $252,000 - $315,000 USD. About Scale AI At Scale AI we develop reliable AI systems for the world's most important decisions. Our products provide high quality data and full stack technologies that power leading models and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders and are expanding our team to accelerate the development of AI applications. Equality, Diversity, and Inclusion 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 will provide reasonable accommodations to applicants with physical and mental disabilities. All qualified applicants will receive consideration for employment without regard to any protected status.

Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead for its next generation of deep research agents for the Enterprise. This high impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable production systems that enhance enterprise operations, analytics, and core efficiency. Responsibilities Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI's overall AI strategy and business goals. Drive Breakthrough Research to Production: Lead the end to end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities. Advanced Knowledge Retrieval: Architect and implement state of the art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises. Data Analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas. Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base. Architecture & Design: Design and champion highly scalable, reliable, and low latency infrastructure and frameworks for building, orchestrating, and evaluating multi agent systems at enterprise scale. Technical Excellence: Serve as the technical authority for the team, leading design reviews, defining ML engineering best practices, and ensuring code quality, security, and operational excellence for all agent systems. Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth. Recruiting & Growth: Partner with management to hire, onboard, and grow top tier talent, helping to shape the long term structure and capabilities of the team. Cross Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high level business problems into concrete, executable technical specifications and impactful agent solutions. Basic Qualifications Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience. 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment. 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain. Deep expertise in Generative AI and Large Language Models (LLMs). Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale. Experience with large scale distributed systems and real time data processing. Preferred Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field. Demonstrated experience designing and deploying production grade Text to SQL systems, including handling complex schema linking and query optimization. Practical experience with Multimodal AI, specifically integrating OCR and vision language models for document intelligence and structured data extraction from images/forms. Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems. Experience with vector databases and advanced retrieval techniques. A track record of publishing research papers in top tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD). Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers. Experience driving cross team technical initiatives that have delivered significant business impact. Compensation Base salary range for this full time position in San Francisco, New York, and Seattle: $252,000 - $315,000 USD. About Scale AI At Scale AI we develop reliable AI systems for the world's most important decisions. Our products provide high quality data and full stack technologies that power leading models and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders and are expanding our team to accelerate the development of AI applications. Equality, Diversity, and Inclusion 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 will provide reasonable accommodations to applicants with physical and mental disabilities. All qualified applicants will receive consideration for employment without regard to any protected status.

Overview WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence, proving it's possible with powerful, trustworthy AI that unites IT and business teams to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents grounded in their data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as a leader in enterprise generative AI. About The Role We're looking for an exceptional software engineer, generative AI to join our rapidly evolving team at WRITER. In this pivotal role, you'll be at the forefront of expanding human capacity by building the next generation of AI-powered solutions that transform how leading enterprises operate. You will develop a state-of-the-art platform that leverages cutting-edge generative AI technologies, from large language models to sophisticated agentic workflows, delivering seamless, scalable, and secure applications that redefine enterprise productivity. This is an opportunity to shape the future of AI and contribute to a product that's changing how the world works. This role is hybrid, based out of our San Francisco, New York City, or London hubs. You'll report to an engineering director or a senior engineering manager. What You'll Do Design and develop robust, scalable, and secure generative AI services and applications using Python and modern frameworks to drive enterprise-wide transformation Build and optimize high-performance, low-latency APIs and microservices for integrating advanced AI models and agentic workflows into our platform Collaborate closely with product managers, data scientists, and cross-functional engineering teams to translate complex business needs into innovative AI solutions, from concept to production Implement and maintain responsive user interfaces (primarily focused on backend enablement though some frontend interaction is expected) using technologies like React and TypeScript to deliver intuitive user experiences Partner with DevOps teams building continuous deployment, logging and monitoring; ensuring top-tier performance and reliability Own key architectural components, ensuring best practices in code quality, security, and maintainability through rigorous testing and peer reviews What You Need 3+ years of hands-on experience as a software engineer, with a strong emphasis on Python development in production environments. We are open to discussing seniority levels from Senior to Staff. Proven expertise in building and deploying generative AI applications, leveraging LLMs, vector databases (e.g., Pinecone, Weaviate, pgvector), and modern open source agentic Frameworks. Deep understanding and practical experience with microservices architecture, RESTful APIs, and cloud platforms such as AWS, GCP, or Azure, including containerization with Docker and Kubernetes Solid grasp of modern web technologies including FastAPI, Asyncio, and database systems like PostgreSQL A "Connect" mindset, thriving in collaborative settings where you actively engage with cross-functional teams and mentor junior engineers to achieve shared goals A "Challenge" spirit, demonstrating exceptional problem-solving skills to tackle complex technical hurdles and proactively suggest innovative improvements to our systems and processes An "Own" attitude, taking full accountability for delivering high-quality, resilient, and scalable code from conception through to production, continuously driving performance and maintainability Benefits & Perks Generous PTO, plus company holidays Medical, dental, and vision coverage for you and your family Paid parental leave for all parents (12 weeks) Fertility and family planning support Early-detection cancer testing through Galleri Flexible spending account and dependent FSA options Health savings account for eligible plans with company contribution Annual work-life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company-wide off-sites and team off-sites Competitive compensation, company stock options and 401k WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice. Compensation Range: $119.3K - $292.4K

Senior Data Scientist Join to apply for the Senior Data Scientist role at EchoTwin AI. Get AI-powered advice on this job and more exclusive features. Company Overview EchoTwin AI is pioneering AI-driven infrastructure intelligence, redefining how cities are managed. Powered by a proprietary visual intelligence engine with full spatial reasoning, EchoTwin transforms municipal fleets into mobile urban sensors-creating living digital twins that provide real-time insights into infrastructure, compliance, and safety. By enabling municipalities to proactively monitor, predict, and resolve issues, EchoTwin helps build resilient, self-healing, and sustainable urban ecosystems. More than "smart cities," EchoTwin is advancing the era of cognizant cities-urban environments with the awareness to see, think, and act on challenges in real time. What The Job Involves EchoTwin AI is seeking a Data Scientist to drive data-driven decision-making and evaluate the real-world impact of deployed systems. As a key member of our small but impactful team, you will work at the intersection of data analytics, machine learning, and business strategy to provide actionable insights. This role offers a unique opportunity to collaborate with transit agencies, product teams, finance, engineering, and company leadership to solve complex problems and unlock new opportunities using data. Responsibilities Design and implement data-driven solutions to support strategic decision-making across the company. Develop rigorous methods to assess transit performance and broader impacts across all deployment stages, controlling for confounders and external factors. Analyze structured and unstructured data to identify trends, anomalies, and opportunities that can enhance product offerings and operational efficiencies. Collaborate with engineering teams to operationalize models and ensure seamless integration into our data pipelines. Build and maintain dashboards and reports that track key performance indicators (KPIs) to provide transparency and drive business goals. Conduct exploratory data analysis (EDA) to inform product development and business strategies. Act as a data advocate by effectively communicating findings and recommendations to technical and non-technical stakeholders. Contribute to developing scalable data science workflows and best practices within the organization. Qualifications Master's or PhD in Data Science, Statistics, Computer Science, Economics, or a related field. 5+ years of experience in data science, machine learning, or a related field, with a track record of delivering impactful data solutions. Proficiency in Python and experience with data science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Strong experience with SQL and working knowledge of data warehouse systems such as Amazon Redshift, Google BigQuery, or Snowflake. Expertise in statistical analysis, machine learning algorithms, and model evaluation techniques. Familiarity with data pipeline tools and frameworks such as Airflow, DBT, or similar. Experience working with visualization tools like Tableau or Looker to translate insights into actionable recommendations. Excellent problem-solving skills with the ability to analyze complex data and provide clear, data-driven insights. Strong communication skills with the ability to present findings to both technical and business audiences. Bonus Experience working with cloud platforms, especially AWS, and deploying models using cloud-based services. Familiarity with geospatial analytics and processing spatial datasets. Experience working with large-scale time-series and mobility datasets (e.g., GTFS, GPS traces, transit logs). Prior experience in a startup environment and a desire to make a significant impact. Benefits And Perks There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields such as Computer Vision, GenAI, Digital Twin, Government Contracting, Systems and Device Engineering, Operations, Communications, and more! Options for medical, dental, and vision coverage for employees and dependents (for US employees) Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA) 401(k) with 3% company matching Unlimited PTO Profit sharing

Get AI-powered advice on this job and more exclusive features. This range is provided by Fractal. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $115,000.00/yr - $185,000.00/yr Machine Learning Engineer Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years. Please visit Fractal Intelligence for Imagination for more information about Fractal. Please note that this role is specifically located in the San Francisco Bay Area and requires 100% onsite availability. If you are not local, we provide weekly travel or relocation. Role Overview: As an ML Engineer at Fractal Analytics, you will be at the forefront of building and deploying AI-driven solutions that address critical business challenges across industries. You'll work with cutting-edge AI platforms to develop both custom and pre-built enterprise applications, tackling key problems such as demand forecasting, asset reliability planning, and inventory optimization. Your role will focus on implementing scalable, production-ready machine learning solutions that seamlessly integrate into our clients' operations. You'll collaborate with cross-functional teams, optimize model performance, and ensure the reliability and efficiency of AI applications in real-world business environments. If you're passionate about transforming businesses with AI and thrive in a dynamic, impact-driven environment, we'd love to have you on our team. Responsibilities Include: Research, design, implement, and deploy Machine Learning algorithms for enterprise scale applications. Engage with clients to translate business needs into technical requirements and Machine Learning solutions. Contribute to the design and implementation of features for new and existing enterprise AI solution offerings. Provide ongoing support and monitoring for solutions running in production. Continuously research and stay abreast of the latest advancements in machine learning and AI to apply cutting-edge techniques in our solutions. Qualifications: MS in Computer Science, Electrical Engineering, Data Science, Statistics, Mathematics, or a related field with a strong emphasis on Machine Learning or Artificial Intelligence. Excellent programming skills in Python Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Applied Machine Learning and AI experience in a professional setting. Broad knowledge on ecosystem of machine learning and AI algorithms, including tradeoffs to consider and when most appropriate to use. Demonstrated project expertise in supervised/unsupervised learning techniques, deep learning, time series, operations research, or Generative AI. Familiarity with ML model lifecycle including key considerations and relevant tools (MLFlow, AirFlow, Kubeflow, etc.) for supporting and governing models at scale. Familiarity with scalable AI technologies such as (MapReduce, Spark, streaming). Prior exposure to cloud computing services like AWS, Azure, or Google Cloud is advantageous (especially ML and AI toolkits). Ability to drive a project and work both independently and in a team. Smart, motivated, can-do attitude, and seeks to make a difference. Excellent verbal and written communication. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: 115,000 to 185,000. In addition, you may be eligible for a discretionary bonus for the current performance period. As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms.The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionConsulting, Information Technology, and Engineering IndustriesIT Services and IT Consulting and Business Consulting and Services Referrals increase your chances of interviewing at Fractal by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for "Machine Learning Engineer" roles.Software Engineer, Machine Learning (Multiple Levels) - Slack San Francisco, CA $167,300.00-$334,600.00 5 days ago San Francisco, CA $180,000.00-$240,000.00 6 days ago San Francisco, CA $140,000.00-$180,000.00 6 months ago Machine Learning Engineer (I, II, or Sr.)Machine Learning Scientist, NLP (All Levels) San Francisco, CA $200,000.00-$300,000.00 5 months ago San Francisco, CA $140,000.00-$215,000.00 1 month ago Machine Learning Engineer (I, II, or Sr.) San Francisco, CA $140,000.00-$170,000.00 1 day ago Machine Learning Scientist, NLP (All Levels) San Francisco, CA $200,000.00-$300,000.00 4 months ago San Francisco, CA $150,000.00-$260,000.00 4 months ago San Francisco, CA $140,000.00-$160,000.00 5 months ago San Mateo, CA $163,700.00-$245,500.00 2 weeks ago Burlingame, CA $140,000.00-$180,000. hours ago San Francisco, CA $100,000.00-$180,000.00 1 year ago Redwood City, CA $167,200.00-$250,800.00 5 days ago San Francisco, CA $140,000.00-$290,000.00 8 months ago San Francisco, CA $100,000.00-$300,000.00 2 weeks ago San Francisco, CA $88,000.00-$140,000.00 1 month ago San Francisco, CA $150,000.00-$250,000.00 1 month ago San Francisco, CA $175,000.00-$225,000.00 8 months ago San Mateo, CA $140,000.00-$210,000.00 1 month ago San Francisco, CA $130,000.00-$238,000.00 3 days ago San Francisco, CA $175,000.00-$250,000.00 1 month ago Machine Learning Engineer, AI (FULLY REMOTE) San Francisco, CA $176,600.00-$225,900.00 2 weeks ago Machine Learning Engineer, GenAI Applied ML San Francisco, CA $176,000.00-$220,000.00 1 month ago We're unlocking community knowledge in a new way. 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Overview Join to apply for the Principal Data Engineer role at Tendo. As a Principal Data Engineer, you will work within the Engineering team and contribute to Tendo's strategic data engineering solutions by ingesting, transforming, and warehousing healthcare-related data from various sources. You will collaborate with data scientists, product managers, and machine learning engineers to produce quality data flows and transformations that support advanced analytics and AI/ML model development. You will develop tools and solutions to facilitate data integration, data warehousing, and data modeling. Your work will enable data engineers and data scientists to experiment and train machine learning models to produce useful insights for Tendo's customers. The ideal candidate should have a strong background in software engineering, data modeling, data warehousing, ETL pipelines, and database design with an interest or experience in applying AI/ML, and a forward-thinking mindset toward innovation in healthcare. About Tendo - Make an impact-join our team! We're a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes' Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today! Job Location Tendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations. Responsibilities Collaborate with Data Scientists and Business Intelligence Analysts to ensure efficient and effective data processing and analysis. Optimize data infrastructure and processes to ensure performance and scalability. Develop and maintain data documentation and data lineage. Stay current with emerging technologies and industry trends related to data engineering. Requirements 7+ years of experience in data engineering. Extensive experience in the design, build, and maintenance of data ETL pipelines. Extensive knowledge of coding in Python or Scala with a focus on data processing. Experience using Apache Spark (PySpark or Scala). Experience with AWS technology stack (S3, Glue, Athena, EMR, etc.). Experience with data and entity relationship modeling to support data warehouses and analytics solutions. Deep understanding of relational and non-relational databases (SQL/NOSQL). Comfortable working with unstructured and semi-structured data (Web scraping). Experience working in a professional software environment using source control (git), an issue tracker (JIRA, Confluence, etc.), continuous integration, code reviews, and agile development process (Scrum/Lean). Basic data privacy and security principles. Interest and/or experience in AI/ML applications, including support for model development or deployment workflows. Proactive mindset around exploring emerging technologies in AI and data science to drive innovation. Nice to Have Knowledge of, or experience with, healthcare data standards such as HL7, FHIR, ICD, SNOMED, LOINC. Experience with Delta Lake and/or Databricks. Hands-on experience with machine learning workflows, including preparing data for AI model training and evaluation. Experience with machine learning workflows and data requirements for use with ML frameworks. Experience validating data quality, preferably with test automation. Experience with containerization using Docker. Base Salary Range $157,250-$212,750 This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits. Benefits For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program ("Breathe"). Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Software Development Referrals increase your chances of interviewing at Tendo by 2x

Staff Data Scientist - Databricks At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best Data Intelligence Platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1,000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission critical workloads, making us one of the fastest growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Impact You Will Have Shape the direction of some of our key data science areas - segmentation, recommendation systems, forecasting, product analytics, churn prediction and insights. Work closely with Engineering, Product Management, Sales and Customer Success to understand product usage patterns and trends and make data driven decisions, recommendations and forecasts. Manage stakeholders for their focus area - gather changing requirements, define project OKRs and milestones, and communicate progress and results to a non technical audience. Mentor and guide junior data scientists on the team by helping with project planning, technical decisions, and code and document review. Represent the data science discipline throughout the organization, having a powerful voice to make us more data driven. Build self serving internal data products to make data simple within the company. Represent Databricks at academic and industrial conferences & events. What We Look For 7+ years of data science, machine learning, advanced analytics experience in high velocity, high growth companies. Extensive experience in applying Data Science / ML for the end to end development and deployment of data driven products for solving business problems. Familiarity with product data science - understanding and tracking customer and user behavior using lenses like adoption, churn, cohorts, segmentation and funnel analysis. Experience collaborating with and understanding the needs of stakeholders from a variety of business functions. We work most closely with Product, Sales and Engineering at the moment, but also work with the Marketing and Finance organizations. Strong coding skills in general purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment. Proficient in data analysis and visualization using tools like R and Python. Experience with distributed data processing systems like Spark, and proficiency in SQL. MS or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering). Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non commissionable roles or on target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range: $192,000-$260,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Seniority level Mid Senior level Employment type Full time Job function Engineering and Information Technology Industries Software Development

Get AI-powered advice on this job and more exclusive features. This range is provided by Ironside. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $130.00/yr - $160,000.00/yr Additional compensation types Annual Bonus Direct message the job poster from Ironside Ironside Group is seeking a Senior Database Engineer to join our team. In this role, you will support clients across a variety of industries by designing and implementing analytics-focused SQL databases and building efficient ETL/ELT pipelines. You'll have the opportunity to work on diverse projects, often taking on multiple roles throughout the project lifecycle. This is a dynamic position ideal for someone who thrives in a client-facing, fast-paced environment and enjoys solving complex data challenges. Your Contributions: Responsible for designing and implementing detailed SQL data warehouse models and data mappings for clients. Perform performance optimization and tuning on new and/or existing data warehouse implementations. Provide strategic and tactical guidance with respect to data warehousing best practices and attention to quality documentation within large and mid-market organizations. Create and manage data models and schema designs to support reporting, operational systems, and downstream analytics Develop and maintain expertise in advanced and/or emerging data warehouse and analytical information technologies such as cloud data warehousing and ETL/ELT, modern data platforms and data lakes. Provide detailed documentation, end-user training, and knowledge-transfer services to customers Partner with data analysts, data scientists, and business users to deliver reliable, well-documented data assets Occasional travel within the United States is required. Your Proven Track Record: 5+ years of experience in data modelling & managing data assets and working with Snowflake, Redshift, Netezza, and Databricks for data storage, processing, and analytics use cases 3+ years of practical experience building and maintaining robust ETL/ELT pipelines for structured and semi-structured data using modern tools like Glue, DBT, Informatica, SSIS and best practices Expertise in SQL scripting, writing complex and efficient queries, building complex and performant stored procedures in SQL Expert knowledge in procedure languages - T-SQL and PL-SQL Ability to understand and analyze data assets as part of reporting analytics Bonus Experience: AWS platform experience & certification is a plus. Experience working in data migration projects is desirable Snowflake or equivalent database certification is a plus Experience working with Azure Synapse / Data Factory is a plus Subject matter expertise in Insurance or Financial Services (Asset Management, Hedge Funds, Banking) is a plus. The Ironside Edge: The opportunity to join and grow an ever-expanding professional network of high-profile clients and reputable colleagues. A passionate and approachable leadership team that encourages an entrepreneurial frame of mind and welcomes contributions to business development from all members of the team. A challenging, dynamic, and rewarding work environment that fosters rapid professional growth in a space that is at the forefront of information technology. An unparalleled opportunity to gain in-depth operational experience across a variety of industries and organizational departments. The opportunity to explore and put into practice cutting-edge technology on a regular basis. An incentivized development program that enhances your skill set with professional training and certifications. Competitive merit-based compensation and bonus packages that rapidly reward passionate and driven team members. Small company culture, with big company benefits. About Ironside At Ironside, we dive deep into clients' core business challenges, emerging with new insights into how we can leverage the power of business analytics to help move companies further and faster toward their goals. Our expertise in business intelligence, performance management, predictive analytics, information management, big data, and more only becomes meaningful when brought into careful alignment with where a business stands today and where it means to be tomorrow. Our goal is to use the power of business analytics to propel businesses forward and upward until they break through to a new way of looking at their industry, the world, and their place in both. It's a lofty way of thinking. One that has helped us make new inroads in our industry, and our clients in theirs. Please note this position is a remote position. Seniority level Mid-Senior level Employment type Full-time Job function Consulting Industries Technology, Information and Media

Founding Building Agentic Products for Marketers Hiring Exceptional Talent to Shape the Future of AI Marketing Auxia is building the Agentic Customer Journey Orchestration Platform, redefining how enterprises activate, engage, and retain their customers through intelligent, adaptive AI systems. Backed by $ 23.5M in funding from top-tier investors - VMG Technology Partners, Stage 2 Capital, and MUFG Innovation Partners - we're on a mission to make every enterprise truly intelligent. Our founders, Sandeep Menon (ex-VP Marketing, Google) and Ravi Desu (ex-Global Engineering Lead, WhatsApp , are building Auxia with the same ambition and technical excellence that powered global platforms used by billions. Learn more about our vision here and here. Today, Auxia powers 3B+ daily events, 6,500 queries per second, and 250M+ decisions per day, helping global enterprises like DOCOMO, Mercari, Atlassian and MUFG unlock the full potential of their first party data. Your Impact As a Staff Data/ML Scientist, you'll define and execute the machine learning and AI roadmap, developing high performance models and building agentic AI systems that drive real time decisions across the platform. You'll work across disciplines like recommender systems, LLMs, causal inference, and reinforcement learning, bringing ideas from research to production and helping shape the intelligence behind every Auxia user interaction. What You'll Do Design, implement, and refine ML models for personalization, ranking, and growth optimization Build and deploy autonomous, AI driven agents capable of executing complex, multi step tasks Lead research across recommender systems, transformers, RAG, and reinforcement learning Develop and improve offline evaluation metrics and model validation techniques Analyze large scale customer data to extract insights and inform product strategies Collaborate with engineering, product, and business teams to translate research into impact Communicate findings internally and to key customers, shaping both product and strategy Stay current with the latest ML/AI research via literature reviews, conferences, and experimentation What You Bring Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields 7+ years of experience in training, deploying, and improving ML systems in production Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX Strong background in LLMs, RAG pipelines, and information retrieval systems Hands on experience with recommender systems, feed ranking, and real time user modeling Expertise in causal inference methods and experimental design Experience working with large scale datasets in cloud environments (AWS, GCP, etc.) Ownership mindset-comfortable navigating ambiguity, taking initiative, and contributing beyond your immediate scope Why Auxia Impact Be at the forefront of Agentic AI, driving the evolution of enterprise personalization - from manual segmentation to self learning systems. Influence Work directly with Auxia's founders and leadership team, alongside ex Google, Meta, and Lyft engineers. Your insights will shape both our roadmap and the future of enterprise AI. Work Environment 100% Onsite, Palo Alto (5 days/week) - because innovation thrives in collaboration. Fast moving, research driven environment where ideas turn into production within weeks. A team that believes in freedom with accountability - great minds solving hard problems, together. Diversity, Equity & Inclusion At Auxia, we are committed to building a workplace that celebrates diversity, fosters inclusion, and ensures equal opportunity. We welcome applicants from all backgrounds, regardless of race, gender, religion, age, sexual orientation, or disability. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Seniority level: Mid Senior level Employment type: Full time Job function: Engineering & Information Technology Industries: Software Development Mountain View, CA $141,000.00-$202,000.00

Join to apply for the University, Data Scientist role at Booz Allen Hamilton Get AI-powered advice on this job and more exclusive features. Job Number: R University, Data Scientist The Opportunity: Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global issues. Across private and public sectors from fraud detection to cancer research, to national intelligence, you know the answers are in the data. We have an opportunity for you to use your analytical skills to improve our business. You'll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You'll apply analytical skills and use the right combination of tools and frameworks to turn that set of disparate data points into tangible answers to help clients make informed decisions. You'll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good. Join us. The world can't wait. You Have: Experience with machine learning, data mining, statistics, or graph algorithms in academic or internship environments Experience using R, Perl, Python, SAS, or SPSS for data analysis Experience in data gathering and analytical work Knowledge of an object-oriented language, including Java, C++, C#, or Python Ability to obtain a Secret clearance Scheduled to obtain a Bachelor's degree by Spring 2026 or Summer 2026 Nice If You Have: Possession of excellent problem-solving skills Scheduled to obtain a Master's degree in CS, Data Science, Computer Engineering, Systems Engineering, or a related field by Spring 2026 Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. Seniority level Not Applicable Employment type Full time Job function Engineering and Information Technology IT Services and IT Consulting Referrals increase your chances of interviewing at Booz Allen Hamilton by 2x