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Job Description We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: With data such as a billion+ historical job postings, tens of millions of active job seekers interacting with our system, and hundreds of billions of impression and click events, there are incredible opportunities to use your skills to build new data-driven features. Working at ZipRecruiter, you will be helping literally millions of people find their dream job. We're working on problems like: given a training set of job postings, and known salaries, build a system that predicts salary for novel jobs.Of course, you know that while building models is fun, it's also just one step in the process; gathering training data, cleansing it, digging into it, extracting features from it, etc, is a huge part of the job Key Focuses: • Design, develop, and maintain advanced machine learning models and algorithms to solve complex business problems, • Lead complex machine learning projects that solve business challenges and add value to the broader ZipRecruiter Business, • Design the overall architecture and infrastructure for machine learning systems, ensuring scalability, efficiency, and robustness, • Push the boundaries of what's possible in machine learning in your organization, finding new and innovative ways to use AI to drive business value, • Provide leadership and set tone for Machine Learning Engineers at ZipRecruiter leveraging industry best practices and innovation, • Stay up-to-date with the latest developments in machine learning and AI, and drive adoption of new techniques and technologies as appropriateMinimum Qualifications:, • 7+ year of professional software development experience with a deep focus in machine learning, • Comprehensive knowledge and experience of machine learning algorithms, techniques, and best practices, • 10+ year of professional software development experience with an expertise in machine learning, • BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience, • Expert knowledge of machine learning algorithms (e.g., linear regression, SVM, decision trees, neural networks, clustering, etc.) and best practices, • Profound knowledge of machine learning algorithms and frameworks, such as TensorFlow, PyTorch, or scikit-learn, • Extensive background of deep learning architectures and techniques, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), and Generative Adversarial Networks (GANs), • Competitive compensation, • Exceptional benefits package, • Flexible Vacation & Paid Time Off, • Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is $180,000-$225,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at:

Job Description We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: At ZipRecruiter, where a universe of data, brimming with over a billion archived job postings, tens of millions of dynamic job seekers, and countless impression and click events, there's plenty of opportunities for innovation. Here, your experience will be put to work crafting new, data-driven features that impact the lives of millions, connecting them to their dream jobs. We're tackling exciting challenges: imagine developing a system that can predict salaries for new job postings, using a training set of job postings and known salaries. But the fun doesn't stop at model-building. Our work involves an immersive dive into data - gathering, cleaning, analyzing, and extracting meaningful insights. Key Focuses: • Design, develop, and maintain machine learning models and algorithms to solve complex business problems, • Identify patterns, trends, and anomalies in the data, and visualize insights using appropriate tools, • Assess the performance of machine learning models using appropriate metrics, validation techniques, and testing datasets, • Discover opportunities to optimize models by fine-tuning hyperparameters, feature selection, or employing regularization techniques to improve accuracy, performance, and scalabilityMinimum Qualifications:, • 3+ year of professional software development experience with a focus in machine learning, • Deep experience in machine learning algorithms, techniques, and best practices, • 5+ year of professional software development experience with a focus in machine learning, • BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience, • Strong knowledge of machine learning algorithms (e.g., linear regression, SVM, decision trees, neural networks, clustering, etc.) and best practices, • Experience with machine learning algorithms and frameworks, such as TensorFlow, PyTorch, or scikit-learn, • Experience with deep learning architectures and techniques, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), and Generative Adversarial Networks (GANs), • Competitive compensation, • Exceptional benefits package, • Flexible Vacation & Paid Time Off, • Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is $140,000-$225,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at:

Job Description We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: Our team has a unique opportunity to work on applications and data at scale, serving millions of jobseekers and tens of thousands of customers. We're working on building an efficient marketplace of jobseekers and employers and need generalist software engineers to build fast, scalable, and effective applications, stream and batch data processing, ML infrastructure and a variety of other systems all to help connect people to their next job. We provide an essential service and have a thriving business as a result. Our stack is complex and we're looking for engineers who know how to write evolvable, properly instrumented, and efficient code as part of a growing distributed system. We're working on data driven systems and applications and need people who can build fast services and processes to power all of the intelligence we use to help change people's lives. Responsibilities: • Build data processing and exploration pipelines along with ML infrastructure to power our intelligence, • Deploy a range of cloud-based technologies for critical projects, • Write, test, instrument, and deploy code to our Kubernetes environment, • 5+ years of professional software development experience with a focus on big data technologies, • Experience with Hadoop, Spark, Hive, and/or other big data technologies, • Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms, • 8+ years of professional software development experience, with a focus on big data technologies, • BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience, • Experience with data integration tools like Apache Kafka, Flume, and NiFi, • Familiarity with data storage technologies such as Delta Lake, HBase, Cassandra, and MongoDB, • Competitive compensation, • Exceptional benefits package, • Flexible Vacation & Paid Time Off Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. #LI-Remote #LI-DA1 ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at:

Job DescriptionThe 3D Simulation group at Zoox is looking for machine learning engineers to bring the latest research in 3D vision to improve diversity and blur the line between simulation and reality. You will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. Our ML group is working on generating rich and diverse 3D environments, humans, and environmental conditions, and you will be able to contribute to all of these.In this role, you will: • Research, implement, and optimize state of the art machine learning approaches to improve simulation variation and fidelity, • Collaborate with ML Researchers, Technical Artists and Simulation engineers to bring new ML techniques to our production simulator, • Build scalable, useable cloud pipelines for machine learning solutions in 3D simulation, • Improve rendering and tooling for generating realistic data at scaleQualifications, • 3+ years of experience with programming and algorithm design, • Fluency in Python and C++, • Experience building and extending radiance field ML models, • Publications or production experience in human-centric 3D vision, 3D reconstruction, or style transfer, • Strong mathematical skills and understanding of probabilistic techniquesBonus Qualifications, • Bachelor's, Master's or PhD in computer science, mathematics, physics, or related field, • Publications in your field (CVPR, ICCV, RSS, ICRA preferred), • Experience with generative models for 3D or video content, • Experience automating 3D content pipelines using applications like Houdini, Maya, or Blender, • Experience in distributed systems and cloud computing platforms

Job DescriptionThe 3D Simulation group at Zoox is looking for 3D Machine Learning engineers to simulate sensors (cameras, lidar, radar), combining GenAI/ML and modern 3D graphics techniques to close the gap between simulation and reality. You will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. Collaborate with Sensor Sim, Perception, and V&V teams to evaluate and iteratively improve the fidelity of sensor simulation. The 3D Sensor Simulation team’s work is at the core of creating high fidelity synthetic data for training and testing AV AI, as well as real time sensor data for hardware-in-the-loop simulation.In this role, you will: • Research, implement, and optimize state of the art 3D rendering of sensor data, leveraging GenAI/ML and 3D graphics., • Develop realism metrics with V&V to show measurable impact of your improved sensor fidelity., • Collaborate with Perception and Safety teams to improve realism of sensor simulation for high fidelity synthetic data., • Improve rendering and ML inference tooling for generating realistic data at scale.Qualifications, • 5+ years of industry experience, and/or PhD, developing neural rendering techniques like Gaussian Splatting, NeRFs, or 3D reconstruction, • 5+ years of experience developing software with Python and/or modern C++, • Expertise with machine learning frameworks PyTorch or Tensorflow, • Familiarity with 3D graphics algorithms, such as 3D geometry and camera models, • Strong mathematical skills and understanding of 3D linear algebra and probabilistic techniquesBonus Qualifications, • Master's or PhD in computer science, mathematics, physics, or related field, • Experience with generative models for 3D content pipelines using applications like Houdini, Maya, or Blender.

Job DescriptionData Science & Analysis - AI TrainingAbout Prolific Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Data Scientists and Data Analysts to join our Expert Network to help train and evaluate cutting-edge AI models using real technical expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $80 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring • Education: a BS, MS, or PhD in Data Science, Statistics, Mathematics, or a closely related quantitative field., • Professional Experience: real-world experience in data analysis, predictive modeling, or machine learning engineering., • Technical Rigor: the ability to solve complex statistical problems and interpret high-level data visualizations independently., • Analytical Mindset: strong attention to detail with the ability to identify subtle logical fallacies in statistical reasoning or data interpretations., • LLM Fluency: significant experience using LLMs to assist with data workflows, with a clear understanding of where these models typically hallucinate or fail., • Communication: the ability to explain complex mathematical concepts or data insights clearly and concisely., • A PayPal account to receive payment from our clients What you'll be doing in the role • Evaluate LLM Responses: review AI-generated data insights and statistical analysis for accuracy, clarity, and completeness., • Fact-Check Technical Claims: use authoritative references to validate mathematical proofs, statistical formulas, and data-driven conclusions., • Validate Code & Outputs: execute data-related scripts (e.g., Python/R) to ensure they produce correct results and handle edge cases properly., • Annotate Model Performance: identify strengths and weaknesses in how a model reasons through data problems or builds predictive models., • Ensure Alignment: verify that model responses follow specific system guidelines and maintain a high standard of professional technical behavior. Key Technologies • Programming: proficiency in Python (Pandas, NumPy, Scikit-learn) or R., • Data Querying: advanced SQL for complex data extraction and manipulation., • Visualization: experience with tools like Tableau, PowerBI, or Matplotlib/Seaborn. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity. Links to more information on Prolific Website Youtube Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.

Job DescriptionThe 3D Simulation group at Zoox is looking for 3D Machine Learning engineers to simulate sensors (cameras, lidar, radar), combining GenAI/ML and modern 3D graphics techniques to close the gap between simulation and reality. You will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. Collaborate with Sensor Sim, Perception, and V&V teams to evaluate and iteratively improve the fidelity of sensor simulation. The 3D Sensor Simulation team’s work is at the core of creating high fidelity synthetic data for training and testing AV AI, as well as real time sensor data for hardware-in-the-loop simulation.In this role, you will: • Research, implement, and optimize state of the art 3D rendering of sensor data, leveraging GenAI/ML and 3D graphics., • Develop realism metrics with V&V to show measurable impact of your improved sensor fidelity., • Collaborate with Perception and Safety teams to improve realism of sensor simulation for high fidelity synthetic data., • Improve rendering and ML inference tooling for generating realistic data at scale.Qualifications, • 2+ years of industry experience, and/or PhD, developing neural rendering techniques like Gaussian Splatting, NeRFs, or 3D reconstruction, • 2+ years of experience developing software with Python and/or modern C++, • Expertise with machine learning frameworks PyTorch or Tensorflow, • Familiarity with 3D graphics algorithms, such as 3D geometry and camera models, • Strong mathematical skills and understanding of 3D linear algebra and probabilistic techniquesBonus Qualifications, • Master's or PhD in computer science, mathematics, physics, or related field, • Experience with generative models for 3D content pipelines using applications like Houdini, Maya, or Blender.

Job DescriptionThe 3D Simulation group at Zoox is looking for machine learning engineers to bring the latest research in 3D vision to improve diversity and blur the line between simulation and reality. You will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. Our ML group is working on generating rich and diverse 3D environments, humans, and environmental conditions, and you will be able to contribute to all of these.In this role, you will: • Research, implement, and optimize state of the art machine learning approaches to improve simulation variation and fidelity, • Collaborate with ML Researchers, Technical Artists and Simulation engineers to bring new ML techniques to our production simulator, • Build scalable, useable cloud pipelines for machine learning solutions in 3D simulation, • Improve rendering and tooling for generating realistic data at scaleQualifications:, • 7+ years of experience with programming and algorithm design, • Fluency in Python and C++, • Experience building and extending radiance field ML models, • Publications or production experience in human-centric 3D vision, 3D reconstruction, or style transfer, • Strong mathematical skills and understanding of probabilistic techniquesBonus Qualifications:, • Bachelor's, Master's or PhD in computer science, mathematics, physics, or related field, • Publications in your field (CVPR, ICCV, RSS, ICRA preferred), • Experience with generative models for 3D or video content, • Experience automating 3D content pipelines using applications like Houdini, Maya, or Blender, • Experience in distributed systems and cloud computing platforms

Healthcare in the U.S. is fundamentally broken. The system is so complex that 88% of U.S. adults do not have the health literacy necessary to navigate it without help. Solace cuts through the red tape of healthcare by pairing patients with expert advocates and giving them the tools to make better decisions—and get better outcomes. We're a Series C startup, founded in 2022 and backed by Inspired Capital, Craft Ventures, Torch Capital, Menlo Ventures, Signalfire, and IVP. Our U.S. based team is lean, mission-driven, and growing quickly. Solace isn't a place to coast. We're here to redefine healthcare—and that demands urgency, precision, and heart. If you're looking to stretch yourself, sharpen your edge, and do the best work of your life alongside a team that cares deeply, you're in the right place. We’re intense, and we like it that way. Read more in our Bloomberg funding announcement ___. At Solace, data isn't just about understanding the past; it's about predicting the future. We are a rapidly scaling startup where we work hard, move fast, and wear many hats. The Solace Data Team is looking for a Data Scientist who excels at forecasting, prediction, and machine learning to help us anticipate patient needs and optimize our operations. Reporting directly to the VP of Data, you will have the opportunity to lead high-impact projects that directly influence our strategic decision-making. In this role, you will go beyond descriptive analytics to build the predictive engines that drive our business. Whether you are forecasting operational volume, modeling patient risk, or designing rigorous A/B tests, you will bridge the gap between advanced statistics and practical business application, ensuring our models are robust, interpretable, and impactful. * Build Predictive Models: Develop and refine machine learning models to solve critical business problems, such as predicting patient churn, estimating operational volume, or scoring advocate quality. * Drive Forecasting Rigor: Own the development of time-series forecasts that guide our capacity planning and resource allocation. You will help us anticipate "what comes next" with higher accuracy. * Design & Analyze Experiments: Lead the design and analysis of A/B tests and causal inference studies. You will ensure we measure the true impact of our product and operational changes. * Uncover Deep Insights: Apply advanced statistical methods to complex datasets to find patterns that simple reporting might miss. You will answer the "why" and "how" behind our most difficult questions. * Productionize Solutions: Work closely with Data Engineers to take your models from a local notebook to a production environment, ensuring they run reliably within our data infrastructure. * Communicate Complexity: Translate complex statistical findings into clear, actionable narratives for non-technical stakeholders. You will be the voice of statistical reason in strategic discussions. * Statistical Expertise: You have a strong background in statistics, probability, and mathematics (e.g., hypothesis testing, regression analysis, time-series forecasting). * Python & ML Proficiency: You are fluent in Python and its data science ecosystem (pandas, scikit-learn, statsmodels, NumPy). You write clean, reproducible code. * Forecasting Experience: You have hands-on experience with time-series analysis and forecasting techniques (e.g., ARIMA, Prophet, exponential smoothing). * Advanced SQL: You can write complex queries to wrangle your own data from Snowflake without relying solely on others to prepare it for you. * Preferred Masters Degree or PHD: Data Science, Applied Science, or related fields. * Data Privacy Awareness: You understand the importance of protecting patient data. You are familiar with best practices for handling PHI and PII and ensuring privacy in your analysis. * Startup DNA: You are a self-starter who is comfortable with ambiguity. You take ownership of problems and are willing to wear many hats to get the job done. * Deployment Experience: Experience using tools like Docker, Airflow, or MLflow to deploy and monitor models in production. * Healthcare Experience: Experience working with healthcare or insurance claims data is a plus. * NLP & Unstructured Data: Experience applying Natural Language Processing (NLP) techniques to extract insights from unstructured text data. * Marketplace Matching: Experience designing matching algorithms or ranking systems for two-sided marketplaces. * dbt & Engineering Skills: Comfort reading or writing dbt models to understand the lineage of your data. Applicants must be based in the United States. Up for the Challenge? We look forward to meeting you. Fraudulent Recruitment Advisory: Solace Health will NEVER request bank details or offer employment without an interview. All legitimate communications come from official solace.health emails only or ___. Report suspicious activity to or .

Job Description: Remote contract for PhDs in Mathematics, Statistics, or related fields. Work on cutting-edge projects with top AI labs while earning $100+/hour, fully remote, with flexible weekly hours. No AI experience required. Role Overview: Help fine-tune large language models (like ChatGPT) using your math and analytical skills. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks. Responsibilities: • Design advanced math problems to test AI performance (e.g., multi-step reasoning, abstraction, symbolic manipulation)., • Develop clear, step-by-step solutions with rigorous logic., • Evaluate AI outputs for accuracy and quality of reasoning., • Collaborate with researchers to refine benchmarks across undergraduate to PhD-level math topics. Requirements: • PhD (pursuing or completed) in Mathematics, Applied Math, Statistics, or related field., • Strong mathematical reasoning and problem-solving skills across advanced domains., • Ability to communicate complex ideas clearly in writing and provide structured feedback., • No AI experience required Perks: • Fully remote, flexible work., • Work on cutting-edge AI projects with leading LLM companies. Offer Details: Pay rate: $100+/hour (depends on role and candidate expertise) Assessment: Shortlisted experts complete an evaluation before selection. Assignments: Contract roles with defined start/end dates; up to 40 hrs/week. About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

About Fusemachines Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic and more than 450 full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world. About the role A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic ai, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams. Responsibilities: • Lead a team of data scientists to develop innovative solutions to complex business problems., • Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions., • Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue., • Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems., • Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner., • Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems., • Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work., • Applicants should have a Masters, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field., • 6+ years experience in Data Scientist or Machine learning., • Strong programming skills in languages such as Python, • Hands-on experience with ML frameworks, such as PyTorch, or Tensorflow, • Experience with cloud compute environments such as AWS, GCP, Azure, • Experience leading data science teams., • Ability to work independently and manage multiple projects simultaneously., • Strong problem-solving skills and attention to detail., • Excellent communication skills both written and verbal., • Experience in industries such as finance, healthcare, e-commerce, retail, or marketing is a plus.Nice to have: Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation., • Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT).Please read carefully the restrictions before applying.

All locations San Francisco, United States; Chicago, United States; Dallas, United States; Austin, United States; Berkeley, United States; Fremont, United States; Hayward, United States; Los Angeles, United States; Seattle, United States; Empower yourself! Start building your career with a national industry leader! Why intern at HSB? At Hartford Steam Boiler (HSB), a Munich Re company, you will learn what it is like to pursue a career at one of the world's largest reinsurance companies. HSB's 11-week Summer Internship Program provides a well-rounded, engaging and enjoyable experience. Below are some of the key experiences and benefits you can expect. Program Highlights • Gain hands on experience., • Meet and gain insights from the Senior Leadership Team as well as other leaders and professionals in the organization to develop lasting professional relationships., • Networking opportunities., • Hybrid work schedule to include working on-site in the office and working from home., • Participate in community outreach., • Opportunity to gain career advice and help you prepare for navigating your career search., • Learn about great careers within the insurance and the impact they make., • Potential full-time career opportunities after graduation. As a valued intern within our team you will have the opportunity for frequent interaction across multiple functions of the organization and gain real life experience and perform meaningful work that will prepare you for the right start to your career! Business Data Analytics Intern • This role is intended for a graduate-level intern, not an undergraduate, due to the analytical depth, data sensitivity, and stakeholder exposure involved, • Intern will work on production-adjacent datasets and deliver outputs that directly inform business and product decisions, • Proficiency in SQL for analytical queries, joins, aggregation, and implementing KPI reporting, • Working knowledge of data analysis tools such as Python, R, or similar, • Familiarity with ETL/ELT pipelines and data warehouses (e.g. Snowflake, BigQuery), • Exposure to BI / dashboarding tools (e.g., Tableau, Power BI, Looker), • Ability to organize, analyze, and summarize datasets with strong attention to detail, • Graduate student (Master's or PhD) in:, • Data Analytics, • Business Analytics, • Statistics, • Information Systems, • Applied Mathematics Responsibilities • Design and build initial analytical dashboards to support product and services decision-making, • Build basic ETL pipelines to aggregate data into a warehouse for analysis and dashboards, • Analyze large datasets related to customer usage, risk signals, and operational performance, • Develop repeatable reporting frameworks (KPIs, trend analysis, cohort analysis) to replace manual processes, • Collaborate with stakeholders on data requirements, validations, documentations, and insights, • Produce executive-ready summaries and visualizations translating data into actionable insights At The Hartford Steam Boiler, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. The work environment characteristics, and any physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice. ___ Save job

Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment. IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments. Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology. This is a hybrid role (3 days in office / 2 days remote). About Your Team: Shape the Future of Market Integrity at Interactive Brokers. Interactive Brokers (IBKR) seeks a Quantitative Software Engineer to join our elite transaction surveillance team. You will leverage your quantitative skills and experience in financial markets to develop sophisticated detection systems that identify market manipulation, fraud, and money laundering attempts before they impact market integrity. Your work will directly influence how one of the world's largest electronic brokers protects the financial ecosystem. What will be your responsibilities within IBKR: • Architect next-generation surveillance models to detect emerging manipulation patterns across global markets, • Partner with compliance leadership to ensure surveillance systems meet and exceed regulatory expectations, • Translate your experience into algorithms that identify suspicious trading and cashiering activity with high accuracy, • Conduct sophisticated data analysis on massive financial datasets (hundreds of millions of daily orders, millions of daily trades), • Evaluate model performance to optimize detection accuracy while minimizing false positives, • Document methodologies to withstand regulatory scrutiny and examination. Which skills are required: Attention Candidates: If your experience is exclusively in bank risk departments building, VAR models or similar frameworks, please note this role involves fundamentally different expertise in surveillance technology and compliance systems. • Bachelor's degree in Computer Science, Mathematics, Statistics, Physics, or related quantitative field, • Strong programming proficiency in Python, • Professional experience: 5+ years (3+ for Master's, 1+ for PhD) hands-on experience in market surveillance, • Domain expertise in at least one of:, • Large-scale financial data analysis (orders, trades, market data), • Market manipulation detection methodologies (spoofing/layering, insider trading, money laundering, fraud, etc.), • Regulatory-driven feature engineering, • Communication excellence in explaining complex surveillance concepts to diverse stakeholders. Good to haves: • Regulatory background at the SEC, FINRA, or major securities exchanges, • Advanced degree in a quantitative discipline, • Mastery of Python data science tools (pandas, scikit-learn, xgboost, catboost), • Deep understanding of market microstructure and trading strategies, • Specialized knowledge in AML and market manipulation typologies To be successful in this position, you will have the following: • Self-motivated and able to handle tasks with minimal supervision., • Superb analytical and problem-solving skills., • Excellent collaboration and communication (Verbal and written) skills., • Outstanding organizational and time management skills., • Competitive salary, annual performance-based bonus and stock grant, • Retirement plan 401(k) with competitive company match, • Excellent health and wellness benefits, including medical, dental, and vision benefits, and a company-paid medical healthcare premium., • Wellness screenings and assessments, health coaches and counseling services through an Employee Assistance Program (EAP), • Paid time off and a generous parental leave policy, • Daily company lunch allowance is provided, and a fully stocked kitchen with healthy options for breakfast and snack, • Corporate events, including team outings, dinners, volunteer activities and company sports teams, • Education reimbursement and learning opportunities, • Modern offices with multi-monitor setups

The Data Scientist supports data integration and modeling for a portfolio of customers, supporting adoption and high-impact use of the Epistemix software platform. This role contributes to profitable growth by driving customer satisfaction, accelerating time to insights, and accelerating our time to value for customers. Ultimately, your work supports customer satisfaction, customer retention, and revenue growth from existing customers. Epistemix helps organizations forecast outcomes and manage risk by modeling how people behave. Our platform consists of two core products: Populus, which provides access to realistic, high-resolution synthetic population data, and Polaris, which enables scenario planning through advanced data science and simulation. Together, they empower customers to evaluate the potential impact of strategies before deploying them in the real world. Organizations across healthcare, consumer industries, insurance, and government use Epistemix to reduce uncertainty, optimize decisions, and accelerate time to value. Whether estimating total addressable market, testing public health interventions, or forecasting behavior change, our tools help teams make confident decisions when pre-existing data may not exist. Leading up to our Series B financing, we are hiring key roles onto the team and entering an exciting phase of growth and innovation. Join us to combine cutting-edge technology with a purpose-driven mission to make the world a better place. Support customers’ and colleagues’ efforts to use our platform to deliver data integration, visualizations, models and recommendations that create meaningful impact * Work with customer teams to understand their goals and help develop data integration, modeling, and visualization plans to support decision making * Collaborate with customer and internal teams to develop, test, and validate simulation models, ensuring their accuracy and relevance for healthcare use cases * Provide guidance for proposals on feasibility of scope and how to ensure impact * Contribute to customer onboarding experiences and content, helping to ensure customers quickly achieve their first successes with the platform * Engage with customer users to provide informal support, tips, and troubleshooting * Collaborate with premium support customers by integrating data and creating models, simulations, or visualizations. Support recommendation development and action plans * Participate in reviews with customers to document and improve measurable impact * Provide feedback to Product and Sales teams to align offerings with customer needs * Follow advancements in data science, machine learning, and healthcare analytics * Commitment to understanding customer needs and helping them achieve goals * Creative mindset with a passion for tackling challenging problems with data * Ability to collaborate with diverse users and internal teams * Strong communication skills: verbal, code, visualizations, and maps * Strong foundation in machine learning, data modeling, and predictive analytics * Understanding of key concepts of the healthcare industry required. Prior healthcare experience (broadly defined) very strongly preferred * Comfort working in a dynamic environment with evolving priorities and customer needs * Proficiency in Python and associated data science technologies * Experience with data visualization tools such as Tableau, Power BI, and/or GIS tools * Expertise in SQL or NoSQL databases preferred * 2-3 years prior experience as a Data Scientist, Analyst, or similar role, with demonstrated ability to solve complex data challenges. (Work in PhD program can count toward experience) * Masters or Ph.D in Data Science, Computer Science, Epidemiology, Economics, Public Health, Statistics, Mathematics, or similar quantitative field * Experience with more than one company size or business stage preferred * Must be legally authorized to work in the United States and not require employer sponsorship now or in the future. By joining Epistemix, you will become part of a collaborative and rapidly growing team that values curiosity and creativity. We are fully remote, with team members in the United States and Europe. Benefits include: * Equity & Incentives – Participation in our stock option program. * Flexible Time Off – Autonomy to manage your schedule and work-life balance. * Health, Welfare and 401(k) Programs – Eligibility for benefits (for U.S. employees). * Meaningful Impact – Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference. This is a remote position open to applicants located in the United States. Candidates must possess the legal right to work in their intended work location, as we are currently unable to sponsor or transfer employment visas for any country, including the United States.

We Breathe Life Into Data At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the ___ — the industry’s largest, most complete, precise view of the U.S. healthcare system — by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease. As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way. The Opportunity at Komodo Health The Analytics Consulting team at Komodo Health specializes in providing advanced analytics solutions to healthcare organizations, leveraging real-world data to drive insights and decision-making. Our data scientists build analytics pipelines/tables and complex logic for projects that address customer needs. Looking back on your first 12 months at Komodo Health, you will have… • Delivered high-value data analytics projects., • Implemented client solutions using techniques like advanced statistical analysis or ML for targeted therapeutic areas in our patient population., • Developed a deep understanding of healthcare claims data., • Constructed complex statistical and mathematical models and developed supporting platforms for their use., • Effectively partnered with teams to translate client requirements into analytics to solve client needs with the capabilities of datasets available at Komodo., • Worked with the data science team to scale our solutions, automate code, and centralize complex logic for reusability. Advocated for good engineering practices within the team., • Presented findings, insights and analytical results to internal and external partners for client deliveries, as well as the larger DS function for continued growth and learning., • Worked with clients to creatively resolve issues and further develop analyses. You will accomplish these outcomes through the following responsibilities… * What you bring to Komodo Health (required): • Bachelor's degree (Master's or PhD degree preferred) in a quantitative field (e.g., Statistics, Mathematics, Engineering, Computer Science) or equivalent practical experience., • Analytical mindset and the ability to solve complex problems with limited supervision., • At least three years of industry experience working with Python and large-scale databases using SQL (data query, data cleaning, data transformation)., • Familiarity with PySpark and R., • Experience working with a large anonymized patient level healthcare databases (preferably administrative claims or EHR)., • Comfort communicating complex data science topics to audiences of variable technical capability., • Proficient with complex topics in ML modeling, advanced statistics/biostatistics, algorithm design and knowledge of ML software packages., • Ability to work well both independently and collaboratively in a fast-paced and demanding agile environment., • Interest in growing skills as a Data Scientist and being willing to learn and teach as part of a team., • Strong business acumen demonstrated by a good understanding of how analytics insights (preferably in healthcare analytics) tie into business goals., • High motivation, work ethic, and self-discipline to organize and complete tasks. Expectations of AI Use in this role (required): Judgement & Creativity: • Applies AI strategically, knowing how to use the right tools at the right time to solve problems or generate new ideas, • Uses AI to accelerate feedback loops, test ideas, and make informed decisions faster, • Applies both judgment and creativity when working with AI and understands its limitations Curiosity & Initiative: • Demonstrates curiosity and initiative in exploring new AI tools and workflows relevant to their role, • Has developed or shared AI-enhanced workflows, automations, or prompts with others Integration & Productivity: • Brings a reflexive AI mindset and uses AI as a natural part of their process to iterate, research, and deliver better work, • Comfortable working in AI-enhanced environments across writing, data analysis, content creation, or design, • Regularly leverages AI tools such as Notion AI, Perplexity, Claude, Descript, Runway, Midjourney, or Microsoft Copilot i.e. to improve speed, clarity, or creative output #LI-Remote The pay range for each job posting reflects a minimum and maximum range of annual base pay that we reasonably expect to pay for this position within the US. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands. The starting annual base pay for this role is listed below. This position may be eligible for performance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or plan. This role may also be eligible for equity awards. In addition, this role is eligible for benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and regulations and company policy. San Francisco Bay Area and New York City: $161,000 - $190,000 USD All Other US Locations: $140,000 - $175,000 USD Komodo's AI Standard At Komodo, we're not just witnessing the AI revolution – we're leading it. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar. We've already established industry leadership in leveraging AI to revolutionize healthcare, and we expect every team member to contribute. AI here isn't optional; it's foundational. We expect you to integrate AI into your daily work – from summarizing documents to automating workflows and uncovering insights. This isn't just about efficiency; it's about making every moment more meaningful, building on trust in AI, and driving our collective success. Join us in shaping the future of healthcare intelligence. Where You’ll Work Komodo Health has a hybrid work model with hubs in San Francisco, New York City, and Chicago. Roles vary — some can be performed from anywhere in the country, others are scoped to a specific region, and some are based near one of our hubs. For hub-based Dragons, we're building intentional in-office rhythms alongside the flexibility that's core to how we work. Whatever your setup, expectations will always be clear before you join. Equal Opportunity Statement Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with 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. By submitting your application, you acknowledge that you have read and understand Komodo Health’s ___. This notice explains how we collect, use, and retain applicant data.

Dropbox, we believe in simplifying the way people work together. We provide a range of innovative cloud-based solutions to empower individuals and businesses to share, access, and collaborate on their files seamlessly. Staff Engineers are pivotal in shaping our mission of building a more enlightened way of working where everyone can unleash their creative potential without constraints. This role owns large, ambiguous problem spaces directly tied to company metrics and translates them into a clear six-month technical roadmap, leading delivery for 15–20 engineers across team boundaries. The leader collaborates on ideas that shape area-level decisions, communicates effectively at all levels, and continuously integrates evolving business context into product and platform direction. They set and model high standards for engineering and operational excellence—driving reliability, scalability, execution rigor, and long-term maintainability across foundational systems—while remaining deeply hands-on through daily coding, design authorship, critical reviews, and architectural leadership. The role influences Core Engineering roadmaps, establishes technical direction, and brings strong instincts for high-quality consumer-facing experiences. They mentor senior talent, raising the technical bar through coaching and example, and extend their impact through org-level technical leadership. Over time, this leader grows from a cross-team technical driver into an org-level technical strategist, optimizing for the company as a whole rather than a single scope. Our Engineering Career Framework is ___ and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more ___. • Lead and mentor a team of 15 to 20 engineers to deliver high-impact business and customer outcomes., • Shape technical direction and partner with Product Management as the DRI for critical company-wide objectives., • Own massive, ambiguous technical and product problems that create company-wide opportunity., • Be a prolific, hands-on coder who owns and implements the most critical, complex, and foundational components of the system., • Influence roadmaps across orgs, breaking silos and steering decisions that change how Dropbox builds., • Architect foundational systems that enable new product capabilities and operate reliably at the scale of hundreds of millions of users., • Demonstrate senior technical leadership and maintain high engineering standards in a virtual-first environment. Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying. • BS, MS, or PhD in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent technical experience, • Minimum of 12 years of experience as a software engineer, • Must have worked in a consumer user-facing team (versus a platform team, a developer-facing API-based product, etc), • Must have a strong mix of skills and depth across multiple areas, including three or more of frontend, mobile, search, databases, storage, concurrency, and modern ML and LLM-based APIs and agentic frameworks, • Experience working on a consumer-facing product onboarding flow on web US Zone 1$248,200—$335,800 USDUS Zone 2$223,400—$302,200 USDUS Zone 3$198,600—$268,600 USD

AssetWatch serves global manufacturers by powering manufacturing uptime through the delivery of an unparalleled condition monitoring experience, with a passion to care about the assets our customers care for every day. We are a devoted and capable team that includes world-renowned engineers and distinguished business leaders united by a common goal – To build the future of predictive maintenance. As we enter the next phase of rapid growth, we are seeking people to help lead the journey. We are hiring a Senior Applied AI Engineer to design and build reusable AI systems that accelerate innovation across the organization. This is a senior individual contributor role focused on rapidly prototyping LLM and agent-based workflows, architecting clean and reusable patterns, and partnering closely with our specialty data science team and Head of AI. You will translate strategy and ideas into structured, modular systems that can be handed off to production engineering teams or integrated via well-defined APIs. We expect end-to-end ownership, pragmatic tradeoffs, and a bias for action. Key Responsibilities AI Prototyping & Workflow Development • Design and build end-to-end LLM-powered workflows, including RAG pipelines, tool-calling systems, and agent architectures, • Rapidly prototype internal AI assistants and automation tools across business functions, • Integrate data science models into agent-based workflows, • Translate ambiguous ideas into practical, working systems Reusable Architecture & Enablement • Develop shared connectors to major LLM providers and internal data sources, • Create reusable agent templates and AI development patterns, • Design modular systems with clean API boundaries for production handoff, • Implement lightweight evaluation, logging, and tracing patterns appropriate for internal deployment Cross-Functional Collaboration • Partner deeply with specialty data science teams to operationalize models, • Work closely with the Head of AI to shape technical direction and AI strategy, • Communicate architectural decisions and tradeoffs clearly to technical and non-technical stakeholders Qualifications Education • BS in Computer Science, Engineering, Mathematics, or related field required; MS/PhD preferred but not required if experience demonstrates equivalent capability. Technical & professional experience • 6+ years of professional software or machine learning engineering experience building backend or distributed systems, • Strong proficiency in Python, including experience building modular, testable, and well-structured codebases., • Proficiency in SQL expected, including intermediate querying and basic ETL jobs, • Hands-on experience developing LLM-powered applications, including RAG pipelines, prompt orchestration, structured outputs, and tool-calling workflows, • Experience working with vector databases and designing retrieval strategies, • Experience designing and exposing RESTful or event-driven APIs for internal or external consumption, • Familiarity with agent frameworks or orchestration libraries (e.g., LangChain, LlamaIndex, Semantic Kernel, or similar), • Experience integrating ML or statistical model outputs into production-oriented systems, • Understanding of evaluation concepts for LLM systems (prompt versioning, offline evals, feedback loops, or guardrails), • Comfortable operating in ambiguity and driving initiatives end-to-end with minimal oversight Preferred • Worked in rapid prototyping and deployment ecosystems, • Experience building internal AI tooling, SDKs, or developer enablement frameworks, • Familiarity with cloud environments (AWS preferred), containerization (Docker), and basic deployment patterns, • Experience working with streaming or ETL pipelines for ingesting structured and unstructured data, • Exposure to observability practices (logging, tracing, metrics) in application systems, • Experience handing off prototypes to production engineering teams in a clean, scalable manner #LI-REMOTE What We Offer: AssetWatch is a remote-first company that puts people at the center of everything we do. We want our team members to thrive - that’s why we offer a range of benefits and perks designed to support your well-being, growth, and work-life balance. • Competitive compensation package including stock options, • Flexible work schedule, • Comprehensive benefits including retirement plan match, • Opportunity to make a real impact every day, • Work with a dynamic and growing team, • Unlimited PTO We have a distributed team that works remotely across locations in the United States and Ontario, Canada. Collaboration within core working hours is required.

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit ___. We are looking for an experienced Senior Software Engineer who can design and build best-in-class behavior planning systems for autonomous driving in structured, low-speed environments. In this role, you'll own the design and implementation of key modules in the behavior planner — the decision-making layer that determines what the vehicle should do in complex, dynamic airside scenarios. You'll work at the intersection of mission-level goals and motion-level execution, tackling problems in multi-agent interaction modeling, rule-based and learned decision-making, and robust handling of edge cases unique to airport ground operations. This opportunity offers a deeply technical engineer the chance to shape a market-defining enterprise product that combines autonomous vehicle technology with a robotics-as-a-service (RaaS) business model. This role reports to our Planning Tech Lead and works closely with the autonomy engineering team. You Will: * Develop and implement advanced behavior planning algorithms for autonomous vehicles * Collaborate with cross-functional teams to ensure robust integration and functionality of planning systems * Design, write, and maintain efficient and scalable code in C++ and Python * Contribute to the architecture and continuous improvement of behavior planning software * Conduct extensive testing in simulated environments and real-world scenarios to validate and refine behavior planning algorithms * Analyze system performance and implement enhancements based on data and feedback * Maintain comprehensive documentation of code, algorithms, and system designs * Work closely with other engineering teams to ensure seamless coordination and development You Have: * Proficient in modern C++ (11/14/17) and object-oriented programming * Skilled in Python for rapid prototyping and testing * Strong in debugging, profiling, and optimizing code * Deep understanding of behavior planning algorithms such as state machines, behavior trees, and probabilistic planning * Familiarity with path planning algorithms like A*, RRT, or optimization-based methods * Master’s degree in Computer Science, Robotics, or a related field * Minimum of 3 years of industry experience in autonomous driving, robotics, or a related field We Prefer: * Knowledge of state machines, behavior trees, and decision-making under uncertainty * Expertise in path planning algorithms such as A*, D*, and Rapidly-exploring Random Trees (RRT) * Knowledge of machine learning techniques, especially in the context of behavior prediction and planning * Experience with ROS / ROS2 * Implementing systems that can re-plan at high frequencies to adapt to dynamic changes in the environment * Ensuring that behavior planning algorithms can execute with minimal latency for real-time navigation * Proficiency in optimization techniques and probabilistic models for making informed planning decisions under uncertainty * Master’s degree or PhD in Robotics, AI, Mathematics, or a related field with a focus on planning, optimization, or control theory is a plus

a.i. solutions is looking to hire interns for the FreeFlyer product group to contribute to the solution of real-world flight dynamics problems in the aerospace industry supporting customers such as NASA, the US Air Force, and commercial companies worldwide. FreeFlyer is an industry-leading commercial-off-the-shelf (COTS) flight dynamics tool that is used in ground systems supporting communications, scientific, military, and educational projects to enable mission planning and awareness. Being a FreeFlyer intern means making meaningful contributions to the future of the tool as you either work with the development team to conduct research into new technologies and develop software prototypes or work with the technical support team to use the tool and overcome challenging aerospace engineering hurdles in support of our customers. As part of this work, FreeFlyer interns will interface with all areas of the FreeFlyer product team, learn about the industry, and learn about what a.i. solutions contributes to that industry over the course of their time with our team. The successful candidate will demonstrate the ability to embrace the a.i. solutions mission and work to continually exceed the expectations of our customers. This internship will run from Monday, May 18th, to Friday, August 14th. Essential Roles & Responsibilities: • Development Focus, • Plan and run simulations on third-party tools to improve developer productivity, • Investigate performance-improving external software architectures for use in the product, • Design and develop utility and infrastructure applications for use by the FreeFlyer team, • Systems Engineering Focus, • Generate sample Mission Plans in FreeFlyer in response to customer requests, • Build and update orbital mechanics instructional materials using FreeFlyer, • Create FreeFlyer webcasts and demonstration videos to highlight new features, • Update the FreeFlyer help file both in architecture and in content, • General, • Support the FreeFlyer team’s release cycle with verification testing efforts, • Provide meaningful design feedback during group reviews of new FreeFlyer features, • Attend company group meetings to better understand the industry and how we fit into it, • Learn about the different missions the company supports and our role in those tasks Minimum Qualifications: • Full-time enrollment in 2024 towards an associates, bachelors, masters, or PhD in engineering, mathematics, physics, or related field, • Basic familiarity with flight dynamics and/or orbital mechanics, • U.S. citizenship, • Must be a Brooke Owens Fellow Desirable Experience: • Experience with FreeFlyer and excitement about flight dynamics, • Programming experience in C++, C#, and Java; working with source-controlled operational cod

At Dropbox, we believe in simplifying the way people work together. We provide a range of innovative cloud-based solutions to empower individuals and businesses to share, access, and collaborate on their files seamlessly. Engineering Managers are pivotal in shaping our mission of building a more enlightened way of working where everyone can unleash their creative potential without constraints. This role leads the Core Mobile Experience team, which owns most of Dropbox’s core user-facing mobile surfaces and is foundational to the File Sync and Share experience that underpins customer trust. As Engineering Manager, you’ll lead up to 25 engineers, drive high-impact outcomes through ambiguity, and foster a culture of innovation, ownership, and operational excellence. Working closely with cross-functional partners in a virtual-first environment, you’ll combine strong technical and people leadership to shape strategy and deliver meaningful business and customer impact. In this role, you will partner with a dedicated Product Manager to be the directly responsible individuals for executing on critical company-wide business objectives, with direct oversight from the CEO. They will accountable for the business impact of the same. Our Engineering Career Framework is ___ and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more ___. • Directly manage up to 25 direct reports, as a single execution unit, • Partner with multiple Product Managers to plan roadmaps and sprints, • Responsible for making tradeoffs between feature work and addressing long term technical debt, • Responsible for excellence in software quality, engineering practices and operations., • Lead their team through standard Agile processes, such as backlog management, stand ups, retros, etc, • Review and Approve engineering designs and able to set technical direction (in collaboration with a Technical Lead), • Drive cross-org initiatives while leading execution and actively supporting the career growth and development of your direct reports Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying. • BS, MS, or PhD in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent technical experience, • Minimum of 8 years of people management experience with an engineering team, • Minimum of 10 years as a software engineer or equivalent technical experience, • Must have experience managing engineering organizations of 20 or above, and experience managing managers, • Must have experience being a hands-on mobile engineer at a senior level, • Must have worked in a consumer user-facing team (versus a platform team, a developer-facing API-based product, etc), • Must have experience running a standard Agile process such as backlog management, stand ups, retros, etc, • Setting strategic direction on a consumer-facing product, • Experience building cross platform (iOS & Android) software US Zone 1 This role is not available in Zone 1 US Zone 2$223,400—$302,200 USDUS Zone 3$198,600—$268,600 USD

Why join Freenome? Freenome is a high-growth biotech company developing tests to detect cancer using a standard blood draw. To do this, Freenome uses a multiomics platform that combines tumor and non-tumor signals with machine learning to find cancer in its earliest, most-treatable stages. Cancer is relentless. This is why Freenome is building the clinical, economic, and operational evidence to drive cancer screening and save lives. Our first screening test is for colorectal cancer (CRC) and advanced adenomas, and it’s just the beginning. Founded in 2014, Freenome has ~400 employees and continues to grow to match the scope of our ambitions to provide access to better screening and earlier cancer detection. At Freenome, we aim to impact patients by empowering everyone to prevent, detect, and treat their disease. This, together with our high-performing culture of respect and cross-collaboration, is what motivates us to make every day count. Become a Freenomer Do you have what it takes to be a Freenomer? A “Freenomer” is a determined, mission-driven, results-oriented employee fueled by the opportunity to change the landscape of cancer and make a positive impact on patients’ lives. Freenomers bring their diverse experience, expertise, and personal perspective to solve problems and push to achieve what’s possible, one breakthrough at a time. About this opportunity: At Freenome, we are seeking a Staff Machine Learning Scientist to help grow the Machine Learning Science team, within the Computational Science department. The ideal candidate has a strong knowledge of artificial intelligence (AI), including machine learning (ML) fundamentals and extensive experience with deep learning (DL) methods, a track record of successfully using these methods to answer complex research questions, the ability to drive independent research and thrive in a highly cross-functional environment. They will be responsible for the development of algorithms for early, blood-based detection tests for cancer. They will build on a foundation of ML/DL and statistical skills to develop models for identifying molecular signals from blood. They will also work with computational biologists, molecular biologists and ML engineers to design and drive research experiments, and will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer. The role reports to the Director, Machine Learning Science. This role can be a Hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote. What you’ll do: • Independently pursue cutting edge research in AI applied to biological problems (including cancer research, genomics, computational biology, immunology, etc.), • Build new models or fine-tune existing models to identify biological changes resulting from disease, • Build models that achieve high accuracy and that generalize robustly to new data, • Apply contemporary interpretability techniques to provide a deeper understanding of the underlying signal identified by the model, ideally suggesting potential biological mechanisms, • Work closely with ML Engineering partners to ensure that Freenome’s computational infrastructure supports optimal model training and iteration, • Take a mindful, transparent, and humane approach to your work Must haves: • PhD or equivalent research experience with an AI emphasis and in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Computational Biology, or Bioinformatics, • 6+ years of postdoc or post-PhD industry experience achieving impactful results using relevant modeling techniques, • Expertise demonstrated by research publications or industry achievements, in driving independent research in applied machine learning, deep learning and complex data modeling, • Practical and theoretical understanding of fundamental ML models like generalized linear models, kernel machines, decision trees and forests, neural networks, boosting and model aggregation, • Practical and theoretical understanding of DL models like large language models or other foundation models, • Extensive experience with training paradigms like supervised learning, self-supervised learning, and contrastive learning, • Proficient in current state of the art in ML/DL approaches in different domains, with an ability to envision their applications in biological data, • Proficiency in a general-purpose programming language: Python, R, Java, C, C++, etc., • Proficiency in one or more ML frameworks such as; Pytorch, Tensorflow and Jax; and ML platforms like Hugging Face, • Experience in ML analysis and developer tools like TensorBoard, MLflow or Weights & Biases, • Excellent ability to communicate across disciplines, work collaboratively, and make progress in smaller steps via experimental iterations, • Proficient at productive cross-functional scientific communication and collaboration with software engineers and computational biologists, • A passion for innovation and demonstrated initiative in tackling new areas of research Nice to haves: • Deep domain-specific experience in computational biology, genomics, proteomics or a related field, • Experience in building DL models for genomic data, with knowledge of state-of-the-art DNA foundation models, • Experience in NGS data analysis and bioinformatic pipelines, • Experience with containerized cloud computing environments such as Docker in GCP, Azure, or AWS, • Experience in a production software engineering environment, including the use of automated regression testing, version control, and deployment systems Benefits and additional information: The US target range of our base salary for new hires is $199,675 - $302,400. You will also be eligible to receive pre-IPO equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered. Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ ___ for additional company information. Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. Applicants have rights under Federal Employment Laws. #LI-Remote

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 116 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit ___. Team Description: This role is part of the Ads Measurement, Signals, and Privacy organization at Reddit. Ads identity empowers Reddit’s ads delivery, targeting, and measurement products to better measure and increase ROAS by linking actions on and off Reddit to the person or people who took them while honoring their privacy preferences. This team collaborates regularly with stakeholders across all of Reddit’s product teams to set a long-term vision and maximize the value of the linkages we create. We are solving complex problems in an increasingly challenging environment of meeting stricter consumer privacy expectations. Role description: You will apply your strong critical thinking and analytical reasoning skills to go deep into the details of identity matching with software and machine learning engineers. You'll make decisions about what work to prioritize based on opportunity sizing and a clear vision for the long-term. You will directly own execution of multi-team projects and be accountable for annual goals reported directly to our VPs. This role provides an opportunity to massively improve a critical system for Reddit’s business in a relatively short time frame with a clear path to increased ownership and responsibility for broader end-to-end strategic ownership. • Deliver improvements to our identity system that quickly and significantly improve our ability to link events to people, • Define and prioritize the product roadmap and collaborate with other ads product managers across the organization to set long-term strategy, • Develop an expert-level understanding of the ads identity ecosystem through self-learning, data exploration, and market research, • Create metrics and goals, in collaboration with data science, to incentivize models and the entire team to deliver maximum value, • Partner closely with Data Science, Engineering, Legal, and Privacy teams that deliver sustainable system improvements, • Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering, Statistics, Economics, Engineering, Applied Sciences, Mathematics, Physics, or a related field, • 2+ years as a product manager of a machine learning product or 5+ years as data scientist working with product teams, • Experience delivering / partnering with product and cross functional teams to deliver complex and scaled projects, • Strong analytical skills with experience in applied statistical analysis, • A foundational understanding of the ads identity ecosystem, • Experience directly driving execution across all aspects of product development cycle, • Proven ability to collaborate cross functionally and without direct authority, • Experience writing SQL queries and exploring data independently, • PhD or Masters in Probability, Statistics, or Behavioral Economics, • 2+ years working on an ads product measuring or serving behavioral advertising, • 2+ years setting goals for a product team, • Experience building or sourcing ground truth data sets, • Collaborate & Partner: Work closely with product management, partner management, and other engineering teams to ensure the Ads API meets the needs of both internal stakeholders and external developers. Who You Are: You are a high-agency leader who doesn't wait for direction; you see what needs to be done and take the initiative to make it happen. You have a strong sense of ownership and are driven to find solutions, work through ambiguity and enjoy complex challenges. Required Qualifications: • 5+ years of industry experience as a Software Engineer., • 2+ years managing (including coaching, mentoring, developing) engineering teams., • Demonstrated ability to drive projects from inception to completion, acting as the primary agent of change., • Proven experience designing, building, and operating scalable, public-facing APIs (e.g., REST, gRPC)., • Experience with at least two general programming languages such as Python, Go, Scala, Java, or C++., • Excellent communication skills, both written and verbal, and the ability to work effectively with product managers, data scientists, and other xfn stakeholders. Preferred Qualifications: • Experience managing Infrastructure or Platform teams., • Experience in the advertising technology space., • Experience with API gateways, authentication/authorization protocols (e.g., OAuth), and rate limiting. Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k with Employer Match, • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Paid Volunteer Time Off, • Generous Paid Parental Leave #L1-AS1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit ___. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is: $190,800 - $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our ___. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

The ideal candidate should have a solid foundation in one or more of the following: Materials Science, Physics, Chemistry, Mathematics, Biology (or other advanced discipline), particularly at the level expected for graduate or PhD-level programs. Requirements: Experience with materials science, eith

Seattle, Hybrid Flexe is a team of technology entrepreneurs and logistics experts who are transforming the $1.5T logistics industry. We deliver technology-powered flexible warehousing infrastructure to the world's largest Enterprise companies, creating unprecedented agility and flexibility in their supply chains. Our cloud-based software platform connects to 1300+ warehouse operators across North America, making the process of sourcing, operating and scaling logistics services fast and efficient. Flexe.com The Senior Data Scientist is responsible for working with the product manager and stakeholders to define and scope opportunities, using data to build novel products supporting the Flexe business model. They will identify and harvest data to power machine learning and/or optimization models for Flexe within the logistics and distribution industry. This role impacts organizational level goals. This job reports to the Data Products engineering manager. Additionally, this role is responsible for working with software engineers, data engineers, and analytics to deliver solutions. [50%] Experiment, prototype, and implement solutions to Flexe's complex problems • Research and define problems. Design experiments to prove theoretical models. Prototype implementations of new learning algorithms and/or prediction techniques., • Driven by deep curiosity, use exploration and discovery techniques to build knowledge and technology which will inform decisions and solve problems., • Obtain, evaluate, and interpret large amounts of data from various internal and external sources., • Lead the design, implementation and delivery of large feature releases. Can work in parallel with other Data Scientists, BIEs, and analysts to deliver a product or solution., • Proactively simplifies data modeling and code and resolves team architecture deficiencies., • Develop or evolve team processes to improve quality and delivery., • Communicating verbally and in writing to business customers with various levels of technical knowledge, and sharing insights and recommendations., • Requires a minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience; or equivalent experience., • Proficient in using scripting code (Python, R, etc.) to scrutinize data and build statistical and/or machine learning models., • 5+ years of hands-on experience in predictive modeling, analysis, and machine learning., • 5+ years of relevant working experience in an analytical role involving data extraction, statistical modeling, and communication., • 3+ years of experience with data querying languages (SQL), • Proven ability to work independently and communicate status clearly. Workload is self-directed and organized., • Proficiency in model development, model validation and model implementation for large-scale applications., • Ability to convey mathematical results to non-science stakeholders., • Strength in clarifying and formalizing complex problems., • Successful candidates will have a background in a quantitative field such as Machine Learning, Data Science, Statistics, Applied Mathematics, or Economics or 5+ years relevant experience. Benefits: • Medical, dental, and vision insurance, • 401k with employer match, • Flexible Time Off Policy, with 10 company paid holidays, • 2 days of volunteer time off, • 1215 weeks of paid parental leave, with eligibility based on tenure and in alignment with FMLA guidelines, • Fully remote, in-office, or hybrid work environment, • Monthly home internet stipend, • Employee support groups, social groups, and mentorship program Flexe is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Founded in 2013 and headquartered in Seattle, Flexe provides tech-enabled warehouse services with access to North America's largest network of warehouse operators. Integrating technology, open logistics networks, and elastic economic models allow Flexe customers to move fast, at scale, and with precision.

Alignerr is seeking a Mathematics Expert to craft and evaluate advanced mathematical content for AI training.Ideal candidates will hold a Master's or PhD in Mathematics and possess deep expertise in fields like algebra and statistics.This fully remote position allows flexible working hours, focusing

Job DescriptionJob Title: Infrastructure Engineering - Systems Engineer V Work Location: US - WA - Redmond Job Description: Calibration Contingent Worker (AR/VR) 5 days in office - Redmond, WA BSc/MSc/PhD in Physics, Mathematics, Aerospace Engineering, Optical Sciences, Electrical Engineering, Computer Science or a related experience 3+ Years of coding experience is a MUST. Please attach listed answers to screening questions: they are to be asked verbally to each candidate. Suggestions for sourcing Robotics experience Computer vision adjacent past experience Coding experience is a MUST. Relevant companies: self-driving cars, drones, AR/VR, phone cameras, radars, hardware with integrated sensors. Flexible work from home options available.