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Principal Machine Learning Engineer.

We’re looking for a machine learning engineer to help build and scale the models and systems that power Doppel’s detection systems.

Design, implement, and maintain efficient ETL processes in collaboration with Data Engineering to optimize data pipelines for real-time ML applications. As a Senior Machine Learning Engineer, you will harness your extensive experience in machine learning and data science to drive innovation and perf

You have a strong background in machine learning, with experience and expertise in personalized machine learning algorithms, especially recommender systems. Be part of an active group of machine learning practitioners in New York (and across Spotify) collaborating with one another. You have hands-on

About EliseAI EliseAI develops cutting-edge conversational AI technology for industries fundamental to our lives: housing and healthcare. Everything is built on the foundation of health and home. Broken systems or ineffective processes in these domains have a disproportionate impact on our quality of life and society’s overall wellbeing. Conversely, any solution or technology that solves problems in these areas will have an impact that ripples far beyond them. That’s the only kind of impact we are interested in having at EliseAI. If you get excited by the thought of working really hard on these kinds of problems, then EliseAI is the right place for you. About The Role As a Senior Data Engineer, you will be a crucial member of our Engineering team, driving our mission to leverage data as a strategic asset. You’ll work closely with cross-functional teams, including product, operations, and analytics, to build out the data infrastructure that powers our decision-making processes. Your work will directly impact how we develop products, optimize our operations, and deliver value to our customers. Key Responsibilities We are seeking a skilled and experienced Senior Data Engineer to join our team. The ideal candidate will completely own our data pipeline, playing a crucial role in designing, implementing, and maintaining our data infrastructure and ETL pipelines. In addition, in this role, you’ll lead the engineering team in making sure all code processes produce meaningful data that is stored in a performant manner. This data process is integral in powering client facing reporting as well as informing internal decisions and strategy. Core Objectives * The role involves building and maintaining high-quality data solutions and large-scale data pipelines that process vast amounts of data * Optimize data flow and collection for cross-functional teams * Design core data objects and models for the entire company * Implement and maintain data quality checks and monitoring systems * Develop client-facing reporting solutions * Additionally, the position supports data-driven decision-making through the creation of metrics datasets and dashboards * Engineers will collaborate across teams to optimize and improve data quality while delivering user-centric experiences Requirements Technical skills * 4+ years of professional experience in data engineering * Programming proficiency in python * Experience with PostgreSQL or other relational databases * Proven experience in data modeling and database design * Experience with ETL design, implementation, and maintenance * Knowledge of data warehousing solutions, particularly Snowflake * Understanding of development workflows and best practices Professional skills * Strong problem-solving skills and attention to detail * Strong communication and collaboration skills * Ability to work independently and as part of a team * Excellent organizational and time management skills * Adaptability to learn and work with new technologies * Passion for maintaining high data quality standards Preferred Qualifications * Experience with data quality management and monitoring tools * Familiarity with AWS services * Familiarity with data visualization techniques and tools * Knowledge of machine learning pipelines and tools * Experience with real-time data streaming platforms * Familiarity with DBT, Airflow Mindset * Entrepreneurial and ambitious; gritty, ‘roll-up-your sleeves’ attitude * Hardworking * Action-orientated with the ability to influence others * Self-starter mentality, yet a team player with a collaborative approach * Ego-free * Direct and clear communicator * Willingness to work in person at our office 4-5 days a week Why join Growth and impact. It’s not often that you can get in on the ground floor of a funded (___) startup that’s scaling. That means that instead of following a playbook, you’ll be writing it. You’ll be learning by constantly shipping products, measuring their impact and refining through data. You’ll work with other talented Data Analysts to help hone and grow your analytical skills. Every single day you will be challenged to identify how we can scale and execute on it. You’ll learn what works when you succeed and what doesn’t when you fail. Either way, the rest of the team will be here to support you. Benefits In addition to the growth and impact you’ll have at EliseAI, we offer competitive salaries along with the following benefits: * Equity in the company in the form of stock options * Medical, Dental and Vision premiums covered at 100% * Fully paid parental leave * Commuter benefits * 401k benefits * Monthly fitness stipend * A collaborative in-office environment with an open floor plan, fully stocked kitchen, and company-paid lunch. * Fun company social events through our Elise and the City program * Unlimited vacation and paid holidays * We'll cover relocation packages and make the move exciting, not painful! Job Compensation Range The salary range for this role is $240,000 - $300,000. EliseAI offers a competitive total rewards package which includes base salary, equity, and a comprehensive benefits & perks package. Exact compensation inclusive of salary and any bonuses is determined based on a number of factors including experience and skill level, location and qualifications which are assessed during the interview process. Additional details about total compensation and benefits will be provided by our Recruiting Team during the hiring process. EliseAI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note that employment with EliseAI is on an "at-will" basis, which means that either the employee or the company may terminate the employment relationship at any time, with or without cause or notice. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at ___ If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at

Expertise in areas of machine learning such as supervised and unsupervised learning techniques, ML operations, and possibly experience in Large Language Models or Reinforcement Learning. Practical experience with programming and machine learning, evidenced by projects, classwork, or research. Stripe

Qdrant is a leading open-source vector search engine designed for applications powered by embeddings and generative AI. We help developers and enterprises unlock the full potential of semantic search, recommendation systems, and real-time machine learning applications. We are growing fast and looking for passionate, curious, and driven team members who want to help shape the future of AI infrastructure. We’re looking for a skilled AI Engineer who thrives at the intersection of deep technical development and community collaboration. You’ll play a dual role — driving innovation in AI-driven search and vector database technologies, while also engaging directly with our customers, developer community, and broader AI ecosystem. This is a unique opportunity to combine engineering excellence with external advocacy, helping users succeed while influencing the direction of our product and community. Engineering • Design, develop, and optimize AI/ML features in Qdrant’s core engine and SDKs., • Prototype and implement integrations with popular ML frameworks (e.g., Hugging Face, OpenAI, LangChain)., • Analyze performance, identify bottlenecks, and implement scalable solutions in real-world AI pipelines., • Support developers and users via GitHub, Discord, and other community channels., • Communicate complex technical concepts clearly in customer calls, demos, and onboarding sessions., • Represent Qdrant at conferences, meetups, and webinars — both as a speaker and technical expert., • Create educational content such as blog posts, tutorials, sample projects, and documentation., • Collect feedback and insights from the community to inform product development., • Strong proficiency in Python., • Solid understanding of machine learning concepts, embeddings, and vector search., • Experience with at least one modern ML framework (e.g., PyTorch, TensorFlow, Hugging Face)., • Excellent communication skills; ability to explain technical topics to diverse audiences., • Prior experience contributing to open-source projects or engaging with developer communities., • Contributions to AI infrastructure, vector databases, or search systems., • Experience building ML-powered products in production., • Knowledge of large language models (LLMs) and retrieval-augmented generation (RAG)., • Public speaking or published technical content (talks, blog posts, tutorials)., • Familiarity with the Qdrant ecosystem or similar technologies., • Competitive compensation and equity options., • Flexible remote work environment., • Opportunity to shape the future of AI infrastructure and open-source tooling., • A passionate, transparent, and supportive team.

Office Location: Lower Manhattan, NY - Hybrid About Accrete: Accrete AI is a dynamic and innovative company focused on transforming the future of artificial intelligence. We specialize in creating advanced AI solutions that turn complex data into actionable insights, driving real-world impact for businesses and government organizations. Our team thrives on creativity and collaboration, working together to push the boundaries of AI technology. At the core of our offerings are our AI agents, designed to autonomously analyze data, generate insights, and make intelligent recommendations. These agents help businesses streamline operations, improve decision-making, and also empower government entities to enhance security, intelligence, and operational efficiency Overview: We are seeking a skilled mid-level Machine Learning Engineer to join our team. In this role, you will have the opportunity to work on exciting projects that leverage machine learning techniques to build intelligent applications. You will collaborate with a team of talented engineers, researchers and data scientists, contributing to the development of AI solutions that deliver significant value to our clients. Responsibilities: • Work closely with machine learning researchers to facilitate the productionization of large-scale and cutting-edge artifacts (examples: machine learning models, scripts for fine tuning and testing models, etc.), the duties of which can include scaling up modeling/algorithm code and architecting systems that will be deploying the artifacts, • Work with large datasets to preprocess, clean, and prepare the data for training/inference, • Design, implement and optimize processing pipelines for scalability and efficiency, • Architect systems to facilitate research experimentation and artifact evaluation, • Collaborate with cross-functional teams to understand project requirements and deliver solutions, • Participate in code reviews, testing, and documentation to ensure high-quality deliverables, • Assist in mentoring and guiding early-career engineers, sharing best practices and fostering a culture of continuous learning Accrete values diverse experiences and we encourage applicants to apply even if you don’t meet all of the following criteria. While having all of the qualifications listed below can certainly make you a strong candidate, we acknowledge that great candidates aren’t defined simply by a list of skills. If you think you have other experiences that would make you a good match for this role, please apply! • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, Math, or a related field, • 3-5 years of professional experience in machine learning, MLOps or related fields, • Working knowledge of machine learning concepts, algorithms, and techniques, • Expert in software engineering principles and software development methodologies, • Proficiency in Python, • Experience with latest MLOps tools and machine learning frameworks/libraries (e.g., TensorFlow, PyTorch, scikit-learn), • Demonstrated ability to preprocess, analyze, and visualize large datasets, • Experience with cloud platforms (e.g. AWS, GCP, Azure), related compute and storage systems, and with deploying machine learning models, • Knowledge of software development best practices, including version control and agile methodologies, • Experience with containerization and orchestration tools (e.g. Docker, Kubernetes, etc.), • Strong problem-solving skills, attention to detail, and the ability to work both independently and as part of a team, • Experience with deep learning architectures and natural language processing, • Understanding of reinforcement learning and other advanced machine learning techniques, • Experience deploying LLM-based applications Benefits: • Comprehensive, competitive benefits: health, dental, vision, prescription, long- and short-term disability and life insurance, and a 401(k) (Traditional & Roth), • Flexible PTO & all U.S. federal holidays off, • Daily catered lunch and a kitchen stocked with snacks and beverages

About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. • Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities, • Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more, • Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features, • Tackle novel UX problems at the intersection of AI, BI, and apps, • 10+ years of experience building and deploying production-grade AI/ML systems, • Deep knowledge of machine learning, deep learning, and applied AI, • Experience across the full ML lifecycle: data curation, training, deployment, monitoring, • A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex, • Experience adapting or training foundation models (language or multimodal) for novel domains, • You've built agents that can plan, reason, and use tools, • You know your way around cloud infrastructure (AWS, GCP, Azure), • You’ve worked in a fast-moving startup or high-growth environment Additional Job details The base salary range for this position is $240k - $270k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package. About us: Sigma is the only cloud analytics and business intelligence tool empowering business teams to break free from the confines of the dashboard, explore data for themselves, and make better, faster decisions. The award-winning software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly via an intuitive, spreadsheet-like interface – no coding required. Since launching with its unique interface, Sigma Computing has added features such as collaboration tools and embedded analytics capabilities. The most recent product launch included a set of AI tools such as forecasting capabilities, an AI copilot and a notebook interface for users who prefer a code-first environment. Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth. Come join us! Benefits For Our Full-Time Employees: • Equity, • Generous health benefits, • Flexible time off policy. Take the time off you need!, • Paid bonding time for all new parents, • Traditional and Roth 401k, • Commuter and FSA benefits, • Lunch Program, • Dog friendly office Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow. Note: We have an in-office work environment in all our offices in SF, NYC, and London.

The CDC Foundation helps the Centers for Disease Control and Prevention (CDC) save and improve lives by unleashing the power of collaboration between CDC, philanthropies, corporations, organizations and individuals to protect the health, safety and security of America and the world. The CDC Foundation is the go-to nonprofit authorized by Congress to mobilize philanthropic partners and private-sector resources to support CDC’s critical health protection mission. Since 1995, the CDC Foundation has raised over $1.9 billion and launched more than 1,300 programs impacting a variety of health threats from chronic disease conditions including cardiovascular disease and cancer, to infectious diseases like rotavirus and HIV, to emergency responses, including COVID-19 and Ebola. The CDC Foundation managed hundreds of programs in the United States and in more than 90 countries last year. Visit ___ for more information. Job Highlights Location: Preference for candidates residing in the Tri-State Area (New York, New Jersey, and Connecticut). Hybrid work preferred, but fully remote work is possible for the right candidate. Must be based in the United States Salary Range: $92,700-$134,275 per year, plus benefits. Individual salary offers will be based on experience and qualifications unique to each candidate. Work Schedule: 9:00 am – 5:00 pm EST, Monday to Friday Position Type: Grant funded, limited-term opportunity Position End Date: June 30, 2025 \n Overview • The Data Scientist will play a crucial role in advancing the CDC Foundation's mission by leveraging data to inform strategic decisions and initiatives in a public health organization. This role is aligned to the Workforce Acceleration Initiative (WAI). WAI is a federally funded CDC Foundation program with the goal of helping the nation’s public health agencies by providing them with the technology and data experts they need to accelerate their information system improvements., • Working within the New York City Department of Health and Mental Hygiene, Center for Population Health Data Science, the Data Scientist will primarily work on supporting the privacy of confidential data by employing advanced statistical techniques to work with various sensitive datasets. In this role, the Data Scientist will also be acting as a data steward to ensure data governance requirements are adhered to by the organization., • The Data Scientist will be hired by the CDC Foundation and assigned to the New York City Department of Health and Mental Hygiene (DOHMH) Center for Population Health Data Science (CPHDS). Preference for candidates residing in the Tri-State Area (New York, New Jersey, and Connecticut). This position is eligible for a hybrid work arrangement for U.S. based candidates. Responsibilities • Work with and understand confidential datasets, • Work with stakeholders of confidential datasets to understand reporting needs and disclosure risks, • Identify, document and employ (statistical) data risk management techniques on confidential datasets, • Generate and utilize synthetic data, • Work with and understand electronic health and other public health records, • Document methods and engineering processes especially related to risk management, • Collaborate with team members and stakeholders to optimize workflows, including reporting, • Ensure data governance requirements are met with data users Qualifications • Bachelor’s degree or higher in Data Science, Statistics, Epidemiology, or related field, • Minimum 5 years of relevant professional experience, • Familiarity with data governance and data protection regulations., • Proficiency in programming languages such as Python, SAS or R., • Experience with data manipulation and analysis tools (e.g., SQL, DBT, Pandas, NumPy)., • Strong analytical thinking and problem-solving abilities., • Ability to interpret complex datasets and derive meaningful insights., • Excellent verbal and written communication skills., • Ability to convey technical concepts to non-technical partners effectively., • Flexibility to adapt to evolving project requirements and priorities., • Professional certifications in data science, machine learning, or public health analytics preferred., • Outstanding interpersonal and teamwork skills; collegial; energetic; and able to develop productive relationships with colleagues, partners, and partners., • Demonstrated ability to work well independently and collaboratively within teams., • Experience working in a virtual environment with remote partners and teams., • Proficiency in Microsoft Office. \n Special Notes This role is involved in a dynamic public health program. As such, roles and responsibilities are subject to change as situations evolve. Roles and responsibilities listed above may be expanded upon or updated to match priorities and needs, once written approval is received by the CDC Foundation in order to best support the public health programming. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, national origin, age, mental or physical disabilities, veteran status, and all other characteristics protected by law. We comply with all applicable laws including E.O. 11246 and the Vietnam Era Readjustment Assistance Act of 1974 governing employment practices and do not discriminate on the basis of any unlawful criteria in accordance with 41 C.F.R. §§ 60-300.5(a)(12) and 60-741.5(a)(7). As a federal government contractor, we take affirmative action on behalf of protected veterans. The CDC Foundation is a smoke-free environment. Relocation expenses are not included.

The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix. We are looking for Senior Data Engineers to join our teams across PZN. You’ll be able to grow your skills in engineering at scale, drive long term platform vision, and join a high-energy, positive team environment! \n What You'll Do • Work with large-scale data pipelines with data processing frameworks like Scio, BigQuery, Google Cloud Platform and Apache Beam., • Develop, deploy, and operate Java services that impact millions of users., • Work towards supporting machine learning projects powering the experience that suits each user individually., • Collaborate with other engineers, product managers and stakeholders, taking on learning and leadership opportunities that will arise every single day., • Deliver scalable, testable, maintainable, and high-quality code., • Share knowledge, promote standard methodologies, making your team the best version of itself through mentorship and constructive accountability. Who You Are • You are familiar with the concepts of data modeling, data access, and data storage techniques., • You are familiar with distributed data processing frameworks (ex: Beam, Spark)., • You want to work on a team employing agile software development processes, data-driven development, and responsible experimentation., • You value opportunities to work collaboratively. Where You'll Be • We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have ___, • We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have, • This team operates within the Eastern Standard time zone for collaboration. \n The United States base range for this position is $160,091 - $228,702 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.

As a Machine Learning Engineer, you'll work alongside our founders and team members to develop and implement cutting-edge AI systems capable of complex biological reasoning across multiple scales. You have a Bachelor's in Computer Science, Machine Learning, or a related technical field. You have exp

Senior / Staff / Principal Machine Learning Engineer. Collaborating with software engineers to integrate ML models into production systems. Working with data scientists, software engineers, and other stakeholders to deliver effective ML solutions.

Extend is building a modern document processing cloud. We're on a mission to transform how the world works with unstructured data. As a Machine Learning Engineer at Extend, you’ll be responsible for building state-of-the-art document processing infrastructure. The work you do will impact every single customer across the millions of documents that our system ingests and processes every month. We’re looking to hire engineers who think creatively about problems, keep up to date on the latest in AI research, push for real-world customer impact (not only theory), and are excited about helping businesses tackle one of their most painful problems with AI. * We've grown revenue 15x last year to several million ARR, with our growth continuing to accelerate * We have a product loved by users and being used in mission-critical flows at enterprises (Square, Zillow, Chime) and startups (Brex, Mercury, Checkr), and many more * The market for document processing has expanded 1000x due to LLMs, and all existing solutions are low NPS * We're punching well above our weight, supporting customer and revenue metrics with half the team size of other startups — everyone joining at this stage will have outsized impact * We've raised our series A & de-risked the business, but there's tremendous upside ahead; now's the perfect time to join. * You'll be joining a talent dense team (e.g. former founders, world record holders) operating in a high performance culture, in-person in NYC, with high equity ownership * We're tackling novel, unsolved problems at the intersection of LLMs, complex data processing, and human ↔ AI interfaces * You'll get a front row seat to how a successful startup is built with plenty of leadership opportunities as we grow quickly We're a lean team, and our customer base is growing too fast for us to keep up. We're looking for talented engineers to join our team and execute on an ambitious roadmap. * Training and deploying SOTA vision models for document processing * Design novel LLM techniques for increasing the complexity of use cases and data streams that Extend can be applied to * Monitor existing models in production, understand what’s working well (and what isn’t), and run experiments to solve those issues * Have complete ownership over the work you do — as a founding team member, you’ll have the opportunity to truly own large areas of product and engineering and have direct relationship with customers. * Work directly with the CEO, CTO, and other founding members and help build out our team.

Data Scientist (Python) - Minimum 5 years of experience is required.Candidates must be authorized to work in the United States full-time.Who You Are: You are a mid-level data scientist with 3+ years of experience in Python.You have expertise in machine learning and data analysis.Develop and implemen

We are seeking a talented Machine Learning Engineer to drive our efforts in leveraging advanced Large Language Models (LLMs) within Cantina Code. Deploy and manage machine learning models and services on AWS. Collaborate with security researchers to turn novel attack patterns into detection heuristi

📐 About this Role As a Software engineer, AI retrieval, you will be responsible for designing, implementing, and optimizing the AI retrieval systems that power our platform. You'll work closely with our data scientists, product managers, and other engineers to ensure that our AI models are integrated seamlessly into our applications, providing fast and accurate results. This role requires a deep understanding of software engineering principles and a strong foundation in AI and machine learning. * Design and implement AI retrieval systems: Develop and maintain the core AI retrieval algorithms and services that enable our platform to efficiently search and retrieve relevant content. * Optimize performance: Ensure that our AI retrieval systems are highly performant, scalable, and can handle large volumes of data and requests. * Collaborate with cross-functional teams: Work closely with data scientists, product managers, and other engineers to understand requirements, provide technical guidance, and deliver high-quality solutions. * Code quality and best practices: Write clean, maintainable, and well-documented code, adhering to best practices in software engineering. * Testing and validation: Develop comprehensive unit and integration tests to ensure the reliability and accuracy of our AI retrieval systems. * API development: Build and maintain REST and GraphQL APIs using frameworks like FastAPI and Flask to expose our AI retrieval capabilities to other services and applications. * Streaming and cancelable endpoints: Implement streaming responses and cancelable endpoints to support real-time and interactive use cases, such as model output. * Continuous improvement: Stay up-to-date with the latest developments in AI and software engineering, and continuously improve our systems and processes. * Language fundamentals: Proficient in Python, with a strong understanding of data types, string manipulation, type casting and conversions. * Functions: Experienced in calling functions, using default and variable arguments, and writing lambda functions. * Virtual environments: Familiar with tools like venv, virtualenv, pipenv, and poetry for managing project dependencies. * File handling: Skilled in reading, writing, and manipulating files in Python. * Error Handling: Expert in handling errors and exceptions to ensure robust and reliable code. * Datamodels: Knowledgeable in designing and using data models to represent and manage data efficiently. * Context managers and logging best practices: Proficient in using context managers and implementing logging best practices to maintain code clarity and traceability. * Inheritance and method overriding: Experienced with object-oriented programming concepts, including inheritance and method overriding. * Magic methods: Familiar with Python's magic methods to enhance the functionality of custom classes. * Code formatting: Adheres to code formatting standards using tools like black, isort, flake8, and pylint. * Testing: Strong background in testing methodologies, including unit testing with pytest, mocking, and integration testing. * Versioning: Familiar with semantic versioning and maintaining changelogs to track changes and updates. * Data structures: Proficient in using stack, queue, and priority queue data structures (via collections) to manage and process data efficiently. * Functional programming: Experienced in functional programming concepts such as map, filter, reduce, generators, and decorators. * Async programming: Skilled in asynchronous programming using asyncio, aiohttp, async generators, and handling timeouts with wait_for. * Threading vs multiprocessing: Understands the differences and trade-offs between threading and multiprocessing, and can choose the appropriate approach for different tasks. * Memory and performance profiling: Proficient in using tools like tracemalloc and cProfile to identify and optimize memory usage and performance bottlenecks. * API development: Experienced in developing and maintaining REST and GraphQL APIs using frameworks like FastAPI and Flask. * Streaming responses and cancelable endpoints: Capable of implementing streaming responses and cancelable endpoints to support real-time and interactive use cases. * Machine learning experience: Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. * Natural Language Processing (NLP): Experience with NLP techniques and tools, such as spaCy or NLTK. * Distributed systems: Knowledge of distributed systems and experience with tools like Kubernetes or Docker. * Cloud services: Experience with cloud platforms like AWS, GCP, or Azure. * Open source contributions: Contributions to open-source projects or a strong portfolio of personal projects. 🍩 Benefits & perks (US Full-time employees) * Generous PTO, plus company holidays * Medical, dental, and vision coverage for you and your family * Paid parental leave for all parents (12 weeks) * Fertility and family planning support * Early-detection cancer testing ___ Early-detection cancer testing * Flexible spending account and dependent FSA options * Health savings account for eligible plans with company contribution * Annual work-life stipends for: * Home office setup, cell phone, internet * Wellness stipend for gym, massage/chiropractor, personal training, etc. * Learning and development stipend * Company-wide off-sites and team off-sites * Competitive compensation, company stock options and 401k Writer is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to ___.

AI Engineer, Investment Services A CAREER WITH POINT72’S COO TEAM The AI Engineer, Investment Services will be responsible for exploring opportunities to develop and build potential solutions that leverage GenAI and Machine Learning in an effort to deliver innovative, GenAI driven products that seek to enhance the firm's business processes and enterprise intelligence. You will play a unique role by identifying key business problems and working in partnership with Compliance to identify potential solutions by applying advanced GenAI/ML techniques. This includes building prototypes to prove out hypotheses and delivering production-grade capabilities to enable opportunities for broad value creation for the firm. Your projects will span both on-premises and AWS environments, leveraging technologies such as Kafka, Spark, Cloud warehouses, and Data Lakes, and employing programming languages like Java, Python, and SQL. WHAT YOU’LL DO • Identify opportunities and develop technical roadmaps for GenAI solutions, • Scope, prioritize, prototype and deliver GenAI projects to help solve key business problems for Point72’s Investment Services teams. Your work/projects will span both on-premises and AWS environments, leverage technologies such as Kafka, Spark, Cloud warehouses, and Data Lakes, and use programming languages such as Java, Python, and SQL, • Lead collaborations across the firm, where appropriate, on GenAI/ML initiatives and techniques, • Deliver analytics and insights to measure the value of solutions delivered, • Partner with groups across the firm such as Technology and Compliance on GenAI initiatives, • Partner internally to establish rigorous model governance practices, including testing, monitoring, and documentation to ensure solutions remain accurate and bias-free, • Stay up to date on AI/ML market landscape, trends, and technological innovations to provide recommendations on new tools and methodologies for adoption WHAT’S REQUIRED • Bachelor's degree in computer science, engineering, or related field, • Minimum 5+ years of professional experience, • Demonstrated success leveraging AI/ML to drive/improve business outcomes, • The ability to develop, own, and provide technical leadership over AI solutions, including model selection, fine-tuning, and ideally model development, • Excellent written and verbal communication skills, • Commitment to the highest ethical standards WE TAKE CARE OF OUR PEOPLE We invest in our people, their careers, their health, and their well-being. When you work here, we provide: • Fully-paid health care benefits, • Generous parental and family leave policies, • Volunteer opportunities, • Support for employee-led affinity groups representing women, people of color and the LGBTQ+ community, • Mental and physical wellness programs, • Tuition assistance, • A 401(k) savings program with an employer match and more ABOUT POINT72 Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit ___. The annual base salary range for this role is $175,000-$225,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

We are looking for an experienced Senior Machine Learning Engineer to design, build, and deploy robust and scalable machine learning models and systems in a production environment. Minimum 6 years of experience in machine learning engineering or a similar role with a strong focus on ML system develo

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: ___ As a member of the C3 AI Data Science team, you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise applications on the C3 AI Suite. You will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our customers with the information they need to make proper decisions and enable their digital transformation. You will help find the appropriate machine learning / data mining algorithms to answer those questions and implement those on the C3 AI Suite so they can run at scale. C3 AI Data Scientists are equipped with modern development tools, IDEs, and AI agents to maximize productivity and accelerate solution delivery. Qualified candidates will have an in-depth knowledge of most common machine learning techniques and their application. You will also understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at large-scale. Note: This is a client-facing position which requires travel. Candidates should have the ability and willingness to travel based on business needs. Responsibilities: • Driving adoption of Deep Learning systems into next generation of C3 AI products., • Designing and deploying Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance., • Collaborating with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements. Qualifications: • MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields., • Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning)., • Experience with prototyping languages such as Python and R., • Strong mathematical background (linear algebra, calculus, probability, and statistics)., • Experience with scalable ML (MapReduce, streaming)., • Ability to drive a project and work both independently and in a team., • Smart, motivated, can-do attitude, and seeks to make a difference., • Excellent verbal and written communication., • Ability to travel as needed Preferred Qualifications: • Experience with JavaScript and Java., • Experience with time series and dynamical systems., • A portfolio of projects (GitHub, papers, etc.)., • Experience working with modern IDEs and AI agent tools as part of accelerated development workflows. C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. New York Base Pay Range$123,000—$185,000 USD C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

Location: Remote Hours: North America working hours Compensation: Competitive Salary & Benefits Livepeer is on a mission to build the world’s open video infrastructure. Founded in 2017, it is the world’s first open-source protocol for decentralized video streaming, built on Ethereum. The project has empowered developers to create scalable, cost-effective, and censorship-resistant video applications. The Livepeer network has transcoded billion of minutes, serving Web3 and Web2 platforms across gaming, entertainment, social media, and beyond. In 2024, Livepeer AI was introduced, unlocking Livepeer’s compute network for AI inference workflows. From real-time video transcription and object detection to scene recognition and AI-powered editing, Livepeer AI brings advanced machine learning directly into the decentralized video stack. These new tools not only reduce costs but also empower developers to build richer, smarter, and more engaging video experiences—whether for Web3 platforms, AI-powered dApps, or even traditional video use cases. Livepeer AI is looking for an experienced, self-driven SRE Engineer – someone that loves to build tools automate everything and deliver the best production experiences for end users. They are passionate about keeping all our user-facing services and Livepeer production systems running smoothly. They specialise in systems (operating systems, storage subsystems, networking, GPU clusters, Docker), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems. We value reliability. We approach the infrastructure with craft and think a lot about form and function. You should feel equally at home talking to developers and designers. We are looking for someone who cares about the reliability of the infrastructure as much as we do. You will ensure the final product is high quality and works as intended. • Provide tech leadership in SRE execution and planning, • Lead complex infra projects for both internal and external stakeholders, • Orchestrate and run our infrastructure, • Add to and tune our monitoring, • Reduce or automate manual processes, • Be on an on-call (PagerDuty) rotation to respond to incidents that impact Livepeer’s availability, • Plan the growth of our infrastructure as we continue to scale, • Vendor management, • Manage the technical roadmap for the SRE team, • Infrastructure cost monitoring and optimisations, • Supporting engineers and improving development workflows, • Talk directly to large customers, • Co-ordinate with team members across timezones, • Build a technical competent SRE team through a clear set of OKRs, • Build essential tooling to improve the infra ops, • Have run global mission-critical infrastructure, • Have managed systems that handle high request volumes, • Know your way around Linux and the Unix Shell, • Have used configuration management systems, • Have used infrastructure automation tools, • Have implemented CI / CD pipelines, • Have experience with some of the following technologies:, • Kubernetes, • Docker, • Terraform, • Ansible, • Nginx, • Github Actions, • Grafana, • Prometheus, • Loki, • AWS, • Google Cloud, • Major CDN vendors, • Github Actions, Workflows, managing self-hosted runners, • Video streaming technologies (HLS, RTMP, transcoding etc.), • Web3 / Blockchain, particularly the Ethereum ecosystem, • Base Salary: Competitive and dependent on location., • Token package: Competitive token package with a 3-year vesting schedule., • Employee Stock Option Plan: Competitive ESOP with 4-year vesting and a 1-year cliff., • Holidays: 25 vacation days per year plus any national holidays., • Insurance: Comprehensive medical, dental, and vision insurance in applicable locations., • Pension: Company pension contributions in applicable locations., • Equipment: Choose a laptop of your preference and anything you need for a comfortable work setup (we’ll purchase it for you)., • Remote Work: Work anywhere in the world., • Flexible Working: Flexible hours to support work-life balance., • Team-Building: Annual in-person get-together where we fly everyone to an exciting location (all expenses paid) to have fun and connect face-to-face., • Latest Tech: Work with cutting-edge AI and the latest technologies alongside an innovative and entrepreneurial team. Join Livepeer AI and shape the future of video streaming and AI tooling. • Day in the Life of Livepeer team members - ___, • Day in the Life of Livepeer team members -

Collaborate with data engineers to prepare high-quality datasets, develop scalable feature pipelines, and manage training data lifecycle. Design, build, and validate machine learning models to support applications such as anomaly detection, states of inventory, and supply chain behavior on streaming

Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. We are looking for ML engineers to help build safety and oversight mechanisms for our AI systems. As a Trust and Safety Machine Learning Engi

The Home Podcasts team within Spotify’s Personalization Mission focuses on what podcasts to recommend on Spotify’s Homepage and where, by building the model to rank and find the perfect podcast content, fully tailored to each user. We are looking for a Machine Learning Engineer who is passionate about personalization ML models, recommender systems and disciplines included but not limited to contextual bandits, causal inference, deep learning, and generative recommenders, which are actively used and expanded by our teams. Join us and you’ll keep millions of users listening by making great recommendations to the Spotify Homepage. For the purposes of collaboration, we ask that our team members operate in the Eastern time zone. \n What You'll Do • Be a technical leader within the team you work with and within Spotify in general, • Coordinate technical projects across teams within SpotifyFacilitate collaboration with other engineers, product owners, and designers to solve interesting and challenging problems for delivering various media worldwide, • Be a valued member of an autonomous, cross-functional agile team, • Architect, design, develop, and deploy ML models that will serve podcast recommendations across the Home, Podcast Subfeed, and NPV surfaces, • Be a leader in Home’s ML community and work collaboratively and efficiently within Home’s existing platforms and systems. Who You Are • You have experience being a technical leader or mentorYou have a strong background in machine learning, especially experience with recommender systems, • You have experience in designing and building ML systems at Spotify (including experience in spotify-kubeflow and salem), • You are experienced with feature engineering and building scalable data pipelines in Scio, • You have a deep understanding of ML systems and infrastructure, • You have experience in Tensorflow or PyTorch. Experience with Kubeflow, Ray is a plus. Where You'll Be • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have ___, • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have, • This team operates within the Eastern Standard time zone for collaboration. \n The United States base range for this position is $176,166 $251,666 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

We’re looking for an experienced ML Engineer to join a well funded, early stage health tech startup focused on revolutionizing the provider model and improving patient outcomes with AI. As a core member of the early engineering team, you would be responsible for data ingestion and analysis, develo

We partner with the applied production training team to bring research innovations into deployed models, and work hand-in-hand with dedicated RL engineering teams to implement our research at scale. The easiest way to understand our research directions is to read our recent research. This role blend

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. Its open-source technology is trusted by over 20,000 organizations worldwide - including more than half of the Fortune 500 - H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Singtel, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include Dell Technologies, Deloitte, Ernst & Young (EY), NVIDIA, Snowflake, AWS, Google Cloud Platform (GCP) and VAST. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, ___ aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. About This Opportunity Are you a data scientist or machine learning engineer who enjoys solving real-world problems by applying cutting edge Gen AI/ML algorithms? Are you passionate about working with customers to solve their business challenges? Can you explain complex machine learning concepts in simple business terms? If the answer is “yes”, then we are looking for you! This position is based in New York, NY and open to candidates in Boston, MA; and the Washington, D.C. area. What You Will Do • Deliver data science and/or machine learning professional services to the customers. This will entail working closely with cross-functional teams to gather requirements, preprocess, and analyze data to develop data-driven solutions., • Support customers by helping to build custom data models, transformation, scorers/optimization loss functions/metrics that can be leveraged with H2O Driverless AI and help improve training performance for the customer use cases/domains., • Ability to design and run training sessions for our customers in data science concepts as well as using H2O products. Training will need to be able to be delivered to audiences with varying data science skills and abilities., • Help customers understand the nuances of data science, expert settings of H2O Driverless AI and H2O open source, and the strategies of experiment tuning that you would use to incrementally improve model performance. This also includes explaining model performance, model interpretability, and post deployment model monitoring concepts so as to ensure the business is making the right decisions on the model predictions., • Participate in the development of ML solutions and AI applications for internal use, contributing to the advancement of our technology stack.What We Are Looking For, • Proven experience in software engineering, data science, machine learning, and AI with a minimum of 2 years of professional hands-on experience., • Knowledge and experience of using a variety of machine learning techniques (supervised/unsupervised, clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks/tuning techniques., • Knowledge and experience of using advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) for practical applications., • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc., • Solid understanding of machine learning algorithms and experience applying Gen AI/ML to solve real work problems, including deployment of end to end ML pipelines, • Interest in Generative AI and Large Language Models (Prompt Engineering, Retrieval Augmented Generation, LLMOps, Making custom LLM models, fine tuning etc, Guardrails), • Strong problem-solving skills and the ability to work independently and as part of a team., • Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.How To Stand Out from the Crowd, • Experience with solving machine learning problems using H2O products , Python, R., • Experience of visualizing and presenting (EDA) to stakeholders using H2O Wave, or other standard data visualization libraries in the Python and R stacks or using Tableau/PowerBi., • Understanding and experience with post production model monitoring concepts and tools like H2O ML Ops MLFlow etc.Why H2O.ai?, • Market Leader in Total Rewards, • Remote-Friendly Culture, • Flexible working environment, • Be part of a world-class team, • Career Growth, • Salary range: $150,000 - 200,000 +H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit______to learn more. #LI-Hybrid

Coders Connect are working with a high-growth audio AI company solving real-world challenges with cutting-edge ML and DSP. Their elite clients include top-tier AI labs and FAANG companies - and now they’re expanding their ML team. We’re hiring a Machine Learning Engineer who thrives on building production-grade ML systems, pipelines, and inference infrastructure. You’ll collaborate across product and data operations to deploy scalable solutions that transform audio into insight. What You’ll Be Doing • Design and implement advanced ML and DSP models for speech/audio, • Build robust inference pipelines and APIs, • Work cross-functionally to improve dataset quality and model performance, • Own the ML roadmap and influence strategic direction What You Bring • BSc degree in ML, data science, or engineering, • Strong applied ML experience (audio or signal processing ideal), • Proven track record of deploying ML models in production, • Python + PyTorch expertise; cloud experience (AWS/GCP) Ideal For: Candidates who can translate ML research into real-world impact - especially in fast-moving, high-growth

Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps and platforms they use every day. Know what our users want? Join us and help Spotify give it to them. As a Machine Learning Engineer in our Content Understanding teams, you will help define and build ML deployed at scale in support of a broad range of use cases driving value in media and catalog understanding. Here are some examples of the work you may support: Audio fingerprinting to understand what music is played in podcasts enabling musicians to get royalties, Video and image tagging to understand what is happening in any video on Spotify for moderation and recommendations, Audiobook Author attribution using graph ML approaches for search and recommendations, Categorizing tracks in the catalog to know which are functional content or music tracks leveraged in royalty calculations and in search and recommendations. Our teams are composed of product, machine learning, data and backend engineers, and subject matter experts who average 11 years behind the scenes in the music industry. We are looking for a Machine Learning Engineer to help us define and build Spotify’s capabilities in this area. Our team expands the state of the art in AI-based machine technology, which enables intelligent, efficient, and intuitive ways to search, re-use, explore or process metadata. You will use world-class engineering and machine learning techniques on real-world, internal, and external big data to directly impact the evolution of our music catalog. \n What You'll Do • Build production systems that enrich and improve our listeners’ experience on the platform, • Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development, • Prototype new approaches and production-ize solutions at scale for our hundreds of millions of active users, • Help drive optimization, testing, and tooling to improve quality, • Perform data analysis to establish baselines and inform product decisions, • Collaborate with a cross functional agile team spanning design, data science, product management, and engineering to build new technologies and features Who You Are • You have professional experience in applied machine learning, • Extensive experience working in a product and data-driven environment (Python, Scala, Java, SQL, or C++, with Python experience required) and cloud platforms (GCP or AWS)., • You have some hands-on experience implementing or prototyping machine learning systems at scale, • You have experience architecting data pipelines and are self-sufficient in getting the data you need to build and evaluate models, using tools like Dataflow, Apache Beam, or Spark., • You care about agile software processes, data-driven development, reliability, and disciplined experimentation, • You have experience and passion for fostering collaborative teams, • Experience with TensorFlow, pyTorch, and/or Google Cloud Platform is a plus, • Experience with building data pipelines and getting the data you need to build and evaluate your models, using tools like Apache Beam / Spark is a plus Where You'll Be • For this role you should be based in New York City (USA). \n$136.88 - $195.54 a year \n The United States base range for this position is $136,878 - $195,540 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

OXMAN is seeking a Research Engineer with expertise in Deep Reinforcement Learning, Deep Generative Modeling, and Data-Driven Design Optimization to join our interdisciplinary team. Demonstrated ability to work in cross-functional teams, bridging machine learning research with ecology, architecture,

Build scalable machine learning models for claim time series forecasting and NLP text understanding. You are an ML Engineer / Data Scientist with 3+ years of experience, especially in highly scalable production environments.

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: Komodo Health is transforming healthcare by building the leading healthcare analytics platform. Our AI team, Labs@Komodo, is pioneering this transformation by delivering AI-native solutions that elevate both the products we bring to market and the way we build them. This role is designed for engineers who thrive in a fast loop of experimentation, iteration, and validation—people who move quickly from idea to working prototype using AI tools, and who know when to slow down and apply engineering discipline to scale what works. We’re looking for engineers who approach AI like product managers—owning the full lifecycle of intelligent systems: from rapid prototyping to feedback-driven iteration to scalable deployment, with a deep focus on how these systems deliver value, evolve over time, and integrate across the broader product ecosystem. You’ll serve as a multiplier: accelerating Komodo’s external innovation while reshaping internal systems, from engineering workflows to business automation. Looking back on your first 12 months at Komodo Health, you will have accomplished… • Delivered production-ready AI products and models that materially improve the precision and scalability of Komodo’s core analytics platform, • Rapidly prototyped and launched internal AI agents that enhance engineering workflows, automate routine tasks, and streamline cross-functional operations, • Helped shape and operationalize Komodo’s AI strategy by embedding AI-native thinking across products, teams, and platforms, • Mentored others in using AI to solve real problems by sharing best practices in prompt design, agent orchestration, and rapid iteration, • Contributed to Komodo’s IP portfolio by building novel workflows that combined speed, creativity, and technical rigor, • Set new standards for ethical, trustworthy AI by implementing feedback loops, model governance, and transparency mechanisms across your work. These are the essential job duties you will be responsible for … • Designing and delivering AI-native products and tools that solve real healthcare challenges and optimize internal workflows., • Building and extending AI features across the full stack to ensure AI capabilities are production-ready and integrated into Komodo’s platform., • Driving the full product lifecycle by gathering requirements, shaping them into technical designs, and delivering complete features that connect AI systems to real customer and business value., • Driving experimentation by developing working demos and iterating based on fast feedback from users and data., • Prototyping rapidly using GenAI models, chaining techniques, and orchestration frameworks to test ideas in days—not quarters., • Partnering with engineers, product teams, and operational stakeholders to identify AI leverage points across workflows, • Researching and applying state-of-the-art AI techniques—LLMs, agent-based systems, generative models, etc.—to both structured and unstructured datasets, • Building internal systems that enhance developer productivity: think agents for code review, documentation generation, or dynamic prompt libraries., • Transitioning successful prototypes into robust, scalable systems—with attention to reproducibility, observability, and maintainability., • Continuously exploring emerging models and toolchains (e.g., Gemini, GPT, Claude, open-source agents) and evaluating them through practical application. What you bring to Komodo Health (required): • A track record of building AI-powered systems that move rapidly from prototype to production, • Strong proficiency with LLMs, prompt engineering, context engineering, agent orchestration , and multi-agent systems, • Fluency in Python and hands-on experience with Gen AI frameworks (Chat Completions API, vLLM, Crew AI, Strands, etc.), • True full stack engineering: You are fluent across modern front-end frameworks such as React or Vue and back-end systems like FastAPI, Django, or Flask, and you use that breadth to design the APIs, interfaces, and services that bring AI capabilities into production., • End to end product ownership: You have a track record of translating customer or business needs into clear product requirements and delivering full stack features that turn AI prototypes into usable, value-driving products, • Deep understanding of AI/ML fundamentals, with applied experience solving real-world problems using an AI-first approach, • Comfort building quick demos, debugging AI behavior, and translating ideas into functional agent workflows or model pipelines, • The engineering discipline to test, refactor, and scale systems with reliability, observability, and maintainability in mind, • A system-builder mindset: equally motivated to craft internal AI tools and deliver customer-facing solutions., • Strong communication and collaboration skills—able to work across technical teams and influence non-technical stakeholders, • Degree in Computer Science, Machine Learning, or a related field—or equivalent hands-on experience that speaks for itself Expectations of AI Use in this role (required): This role is AI-native by design—you are expected to apply GenAI, agent-based workflows, and cutting-edge models as your default problem-solving toolkit. This includes: • Automating your own workflows using tools like Gemini, GPT, Claude, etc. and internal agents, • Driving experimentation and adoption of new AI techniques within your team and across Komodo, • Thinking in systems: understanding how prompt chains, orchestration logic, and fine-tuning loops can be built into scalable solutions Additional skills and experience we’d prioritize (nice to have)… • Experience with specific healthcare data modalities (e.g., claims, EHR, genomic data)., • Experience with distributed computing frameworks (e.g., Spark, Snowflake, Databricks) for large-scale data processing. 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: $165,000 - $253,000 USD All Other US Locations: $144,000 - $194,000 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 ___; we recognize the power of choice and importance of flexibility for the well-being of both our company and our individual Dragons. Roles may be completely remote based anywhere in the country listed, remote but based in a specific region, or local (commuting distance) to one of our hubs in San Francisco, New York City, or Chicago with remote work options. What We Offer Positions may be eligible for company benefits in accordance with Company policy. We offer a competitive total rewards package including medical, dental and vision coverage along with a broad range of supplemental benefits including 401k Retirement Plan, prepaid legal assistance, and more. We also offer paid time off for vacation, sickness, holiday, and bereavement. We are pleased to be able to provide 100% company-paid life insurance and long-term disability insurance. This information is intended to be a general overview and may be modified by the Company due to business-related factors. 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.

Title: ___ Data Scientist Location: New York, USA Job Type: ___-time Overview: We are looking for a highly skilled Senior Data Scientist in New York to lead complex data analysis and model development, providing crucial insights for business strategy. Job Description: As a Senior Data Scientist, you will: Lead data science projects from conception to deployment. Develop and implement advanced machine learning models. Analyze large datasets to extract actionable insights. Communicate findings to stakeholders. Minimum Mandatory Requirements: Advanced degree in a quantitative field. Extensive experience (10+ years) in data science. Proficiency in Python or R and relevant ML libraries. Why Apply? Drive innovation and shape data-driven decisions in a vibrant city. Apply now at #___ Minimum Mandatory Requirements: Advanced degree in a quantitative field. Extensive experience (10+ years) in data science. Proficiency in Python or R and relevant ML libraries. Why Apply? Drive innovation and shape data-driven decisions in a vibrant city. Apply now at # Advanced degree in a quantitative field. Extensive experience (10+ years) in data science. Proficiency in Python or R and relevant ML libraries.

Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights. With decades-long expertise in the financial services industry and a relentless focus on the future, Curinos technology and analytics ecosystem allows clients to anticipate customer needs and optimize their go-to market decisions in an increasingly competitive market. Curinos operates in a hybrid/remote model, and this position is fully remote in the United States or hybrid in the Greater New York, Boston or Chicago metropolitan areas. We’re looking for an experienced applied data scientist to join our Data Science & Machine Learning Team focused on the application of data science, machine learning and AI approaches to understanding banking customer behavior and optimizing engagement marketing through our FinTech product platforms! You’re passionate about finding patterns, trends, and opportunities that can enable a better consumer banking experience, curious about what is driving KPIs and customer outcomes, and insightful in your analytical approach. You thoughtfully bring data science-based insights into the conversation about our customers and pursue improvements proactively, while building on shared cross-functional knowledge and expertise. As a Senior Data Scientist, you are an influencer who can up-level the pursuit and impact of applied data science at Curinos, helping formulate and implement company-wide best practices. Responsibilities: • Combine data sources and apply multiple data and algorithmic approaches to create a clear, cohesive, static and temporal picture of banking customers, actionable for both humans and algorithms., • Collaborate with business partners to develop meaningful segments to target and optimize consumer interactions based on shared preferences and behaviors., • Partner with our machine learning engineers to refine and extend our Reinforcement Learning-based marketing optimization capabilities., • Create well-organized datasets and data processing, algorithm implementations and recommended visualizations that can support implementation in our platform software and documentation, feature and functionality descriptions and customer engagement as needed Desired Skills & Expertise: • You have 5+ years experience and a demonstrable track record of delivering applied machine learning or data science capabilities in consumer-facing and/or enterprise applications., • You have independently prototyped, optimized, validated, managed, operated and updated machine learning and statistical models., • You can demonstrate knowledge of statistical inference, experiment design, probability, sampling methodologies, regression, classification, clustering, data mining, time series analysis, causal inference analysis, neural networks and deep learning techniques. Experience in reinforcement learning and multi-armed bandit applications is highly preferred., • You have a strong working knowledge of Python-based machine learning frameworks and the data and computation management mechanisms that surround them in a cloud setting., • You have exceptional communication skills that can be delivered in the context of your audience from deep science to business decision-makers., • You possess strong interpersonal skills and an ability to influence others around you towards data-driven business goals., • You can quickly pivot and act with agility as dictated by the needs of the business., • You hold an advanced degree (PhD preferred) or equivalent career experience in Computer Science, Applied Mathematics, Statistics or a related technical discipline Why work at Curinos? • Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from, • Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!, • Competitive annual leave, floating holidays, volunteering days and a day off for your birthday!, • Learning and development tools to assist with your career development, • Work with industry leading Subject Matter Experts and specialist products, • Regular social events and networking opportunities, • Collaborative, supportive culture, including an active DE&I program We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need! If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at ___ and we’ll do everything we can to help. Inclusivity at Curinos: We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.

At Bask Health, Product Data Scientists are at the heart of our mission to revolutionize healthcare. They uncover key insights, shape product development, and influence a culture of data-informed (not data-driven) decision-making. By working cross-functionally, our data scientists help guide what we build and how we build it, ensuring our solutions deliver real-world impact. • Bachelor’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field., • Advanced degrees (e.g., Master’s or PhD) in relevant disciplines are a plus., • 3+ years of experience in data analysis, data science, or a related field, with a proven track record of influencing product decisions through data insights., • Experience working with cross-functional teams, including product managers, engineers, and designers., • Experience in healthcare, telehealth, or related industries is highly desirable but not mandatory., • Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis., • Strong experience with data visualization tools (e.g., Tableau, Looker, or similar)., • Proficiency in statistical techniques such as regression analysis, hypothesis testing, clustering, and segmentation., • Experience with A/B testing and designing experiments., • Familiarity with big data tools (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Google Cloud) is a bonus., • Ability to extract actionable insights from complex datasets., • Strong problem-solving skills and a keen sense of curiosity., • Experience applying machine learning techniques is a plus., • Excellent communication skills, with the ability to translate complex data into understandable insights for non-technical stakeholders., • Strong project management skills, with the ability to prioritize tasks and meet deadlines., • Collaborative and proactive mindset.

About Us: EvolutionIQ’s mission is to improve the lives of injured and disabled workers and enable them to return to the workforce, saving billions of dollars in avoidable costs and lost productivity to the US and global economies and make insurance more affordable for everyone. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of ___ 3 years in a row! About You: A seasoned ML expert who thrives on first principles problems that no one has ever worked on before. You love innovation and making an immediate impact – and are constantly driving toward launch and delivery thanks to your high degree of ownership and control. You love working on new and challenging problems – not incremental or marginal improvements – and you're supercharged by having interesting, unsolved problems continually present themselves. In this Role, you will: • Perform in-depth exploratory data analysis to scope ML opportunities, identify potential issues in the data, and lay the groundwork for model design, training & evaluation strategies, • Suggest and implement new features to improve model performance and business logic, • Work closely with product & engineering stakeholders to identify business opportunities and technical feasibility using ML/AI, • Mentor and guide more junior MLEs across the organization to drive towards technical excellence in ML workflows and product deliveries, • Build ML models for production use, write and review production-quality PRs daily, • Translate client business problems into ML problems, • Build scalable machine learning models for claim time series forecasting,NLP text understanding, and generative AI solutions, • Continue to grow and learn in the data & ML space with a focus on business problems that require making sense of large-scale structured and unstructured datasets Requirements & Skills: • You are an ML Engineer / Data Scientist with 5+ years of experience, especially in highly scalable production environments, with a proven track record of quickly getting from idea to production, • You have deep exposure to data science & AI tech stacks (sklearn, Keras / PyTorch, LLM / gen AI frameworks, tuning frameworks, A/B experimentation), data analysis & modeling, feel at home in Python/Pandas/Jupyter yet switch seamlessly to work in production environments & pipelines, and strive for scalable technical concepts and solutions., • You’re a team player who is solutions-oriented., • You have crisp written and verbal communication skills and can effectively correspond between technical and non-technical audiences., • You have 2+ years of experience leading teams of 5+ ML engineers in high stakes production environments., • You owned, deployed, and maintained model-serving pipelines in production, • Expert skills at writing clean, efficient, and easy-to-understand code with unit tests and following SWE best practices., • Translate cutting-edge research into production-grade solutions. Turn the latest advancements in AI into scalable, high-impact systems that operate seamlessly in live customer environments, • Experience translating state-of-the-art research papers into production code, • Accustomed to collaborating with data labelers and SMEs, • Experience building production agentic systems Even Better if You Have the following: • Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, Kubernetes, • Experience with advanced statistical modeling, especially probabilistic programming, • You’re up to date on the latest LLM / gen AI developments and have built LLM / agentic applications and iterated on user feedback., • Ambitious, collaborative, and empathetic values, • A work style that is open to giving and receiving critical feedback and collaborating effectively across teams Work-life, Culture & Perks: • Compensation: the compensation range for this role is 225-250K (with flexibility), as well as a meaningful equity plan offered, • Well-Being: Full medical, dental, vision, short- & long-term disability, 401k matching. 100% of the employee contribution up to 3% and 50% of the next 2%., • Home & Family: Flexible PTO, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers), sick days, paid time off. For new parents returning to work we offer a flexible schedule. We also offer sleep training to help you and your family navigate life schedules with a newborn. We also have a flexible vacation policy., • Office Life: Ability to work hybrid. Catered lunches, happy hours, and pet-friendly office space., • Growth & Training: $1,000/year for each employee for professional development, as well as upskilling opportunities internally, • Sponsorship: We are open to sponsoring candidates currently in the US who need to transfer their active H1-B visa. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees

VantAI pairs bleeding-edge machine learning techniques with deep systems biology expertise to build computational models that uncover hidden relationships between molecules, targets, and diseases. These models power a best-in-class solution that identifies and generates new molecular entities for ta

Tatari is on a mission to revolutionize TV advertising. We work with some of your favorite disruptor brands—like Calm, Vuori, Rocket Money, and hundreds more—to grow their business using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience. Our technology and services are pushing the industry forward, enabling businesses of any size to advertise on TV. Named one of the 16 Hottest Ad Tech Companies by Business Insider and ___by Inc. Magazine, Tatari is experiencing rapid growth. Our executive team is comprised of former founders and senior leaders at fast-rising startups like Shazam, TrueCar, AdapTV, and LiveRail and larger, more established tech companies like Amazon, Google, Meta, Microsoft, and Yahoo. We’re looking for a Research Data Scientist to join the team! In this role, you will work in a fast-paced environment, with diverse data sets and technologies to produce production quality, scalable, automated solutions to a diverse set of challenging data problems. You will have the freedom to utilize the latest technologies to solve challenging problems, create innovative applications from the ground up and understand exactly what it takes to create a reliable online experience for our customers. This role collaborates closely with our technology and client-facing teams to optimize our business, with the ultimate goal of helping Tatari redefine marketing analytics for tv and streaming video media buying. Description: • Collaborating closely with our engineering and technology teams, the Data Scientist will build predictive models, measurement algorithms, and deep analyses to provide insights for optimizing our business., • Specifically, the job duties will include the following:, • Applying fluent understanding of state-of-the-art machine learning techniques to build predictive models and recommender systems;, • Applying deep understanding of statistics and probability to devise improvements to existing algorithms;, • Contributing to developing and maintaining internal analysis software libraries;, • Developing new intellectual property;, • Analyzing large amounts of data to identify relationships and trends, translating them into actionable insights for our product team and clients;, • Reporting findings, both orally and in writing Qualifications: • Masters’ degree in a technical field (e.g., Computer Science, Mathematics, Physics, Data Science, etc.), • Advanced experience in data manipulation tools (e.g., Python, pandas, pyspark, SQL), • Deep knowledge of statistics, probability, and machine learning techniques, • Experience building/testing/validating ML models using state-of-the-art tech, • Strong background designing and developing software to implement advanced analytic algorithms, • A quick learner, with the ability to work independently and adaptably in a fast-paced environment, • Strengths in creativity & open-ended problem-solving-- able to identify what's important (and not important) to focus on in order to construct effective approaches to challenging problems, • Strong strategic thinking capabilities and project management skills, • Strong communication skills, both written and oral, • Nice to have:, • PhD in a technical field, • Industry experience with development and deployment of predictive models or recommendation systems Benefits: • Competitive salary ($130,000 - 160,000/annually), • Equity compensation, • Health insurance coverage for you and your dependents, • 401K, FSA, and commuter benefits, • $150 monthly spending account, • $1,000 annual continued education benefit, • $500 WFH reimbursement, • Unlimited PTO and sick days, • Monthly Company Wellness Day Off, • Snacks, drinks, and catered lunches at the office, • Team building events, • Hybrid RTO of 2 days per week. THIS IS AN IN-OFFICE POSITION At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated. #LI-HYBRID

mParticle by Rokt is widely recognized as one of the leading customer data platforms, serving hundreds of global brands and helping them turn data to insights and insights to action. Built on top of end-to-end streaming architecture, we are committed to empowering businesses to deliver personalized and engaging experiences to their customers across all screens and devices. We believe that the opportunity to help teams activate insights from their customer data to deliver more relevant and adaptive experiences is more important than ever. In January 2025 mParticle merged with Rokt and became mParticle by Rokt. Together, our AI and ML-powered Rokt Brain and ecommerce Rokt Network will power more than 6.5 billion transactions, connecting 400 million customers across the world’s leading companies. We are Rokt, a hyper-growth ecommerce leader. We enable companies to increase value by unlocking real-time relevancy in the moment that matters most, when customers are buying. Together, our AI and ML-powered Rokt Brain and ecommerce Rokt Network will power more than 6.5 billion transactions connecting 400 million customers across the world’s leading companies. In January 2025, Rokt’s valuation increased to $3.5 billion USD, allowing us to expand rapidly across 15 countries. The Rokt engineering team builds intelligent infrastructure and platforms that power mission-critical services. At this scale, excellence in reliability, performance, and developer experience is non-negotiable. At Rokt, we practice transparency in career paths and compensation. At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible. We are looking for a Senior Data Scientist / Machine Learning Engineer Total Compensation between: $300,000-$375,000, which includes a fixed annual salary between $200,000 - $250,000, employee equity plan grant & world class benefits. Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility. About the Role: As a Senior Data Scientist / Machine Learning Engineer on the Identity team, you will play a critical leadership role in shaping and advancing our identity solutions. You will drive data-driven strategies, lead complex analyses for entity resolution, and collaborate cross-functionally to enhance the quality, effectiveness, and scalability of our identity systems. • Spearhead complex analyses applying advanced statistical methods and machine learning techniques to large-scale identity data, uncovering actionable insights to significantly improve the effectiveness and quality of our identity solutions and drive initiatives to completion, • Independently identify, scope, and champion high-impact opportunities for innovation within the identity space, developing novel analytical approaches and data-driven strategies., • Test and run experiments to determine impact on model relevancy, • Define key metrics for tracking the health and performance of identity systems; Design, build, and maintain robust data pipelines to support machine learning model deployment and large-scale data processing for identity use cases, • Conduct proactive analysis, modeling, and automation of improvements to entity resolution in areas such as geography, linkage, fraud detection, and risk assessment., • Partnering closely with product and engineering teams to develop the strategy for evolving our identity graph, • 6+ years of industry experience as a Data Scientist (or 3+ years with a PhD), including significant work with identity, fraud, or security data, • Master’s degree in Statistics, Econometrics, Machine Learning, or related fields., • Demonstrated project leadership, mentorship, and ability to tackle highly ambiguous technical and business problems, • Strong knowledge of online AB testing and experimentation, • Strong knowledge of Python 3 (data science libraries) and SQL;, • Experience with distributed computing frameworks, particularly Spark is preferred, • Experience with Kubeflow is preferred, • Understands prompts for AI and is comfortable with using AI to improve day to day productivity, • Experience with identity-focused data science projects (e.g., authentication, fraud, user verification, KYC)., • Strong analytical / modeling experience tied to business outcomes, • Applied use of visualization tools such as matplotlib, seaborn, tableau, Python visual libraries, • Experience with common Python data science libraries such as pandas, numpy and scipy As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock real-time relevancy in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks, or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency, and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better. About the Benefits: We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it: • Accelerate your career. We offer roadmaps to leadership and an annual training allowance, • Become a shareholder. Every Rokt’star gets equity in the company, • Enjoy catered lunch every day and healthy snacks in the office., • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and great health benefits for you and your dependents., • Dog-friendly office, • Extra leave (bonus annual leave, sabbatical leave etc.), • Work with the greatest talent in town We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team.

Sia Partners is a next-generation management consulting firm. We offer a unique blend of AI and design capabilities, augmenting traditional consulting to deliver superior value to our clients. Counting 3,000 consultants in 19 countries, we expect to achieve USD 420 million in turnover for the current fiscal year. With a global footprint and expertise in more than 30 sectors and services, we optimize client projects worldwide. Through our Consulting for Good approach, we strive for next-level impact by developing innovative CSR solutions for our clients, making sustainability a lever for profitable transformation. Data-driven marketing has become a central element of strategy for many companies. At Sia Partners, we recognize the growing importance of data analysis in marketing, as it provides a deep understanding of consumer behaviors, optimizes marketing campaigns, and informs strategic decision-making. Our data marketing initiatives cover a wide range of domains, including luxury, energy, FMCG, banking, and insurance. Why Join The Sia Village? Excellence | Entrepreneurship | Innovation | Teamwork | Care & Support | Employee Wellbeing These are the ___ that guide all our actions. As an expression of our values, our Sia Village concept describes our commitment to fostering a sense of community within and among our offices. We believe that knowledge sharing is the key, not only to innovation, but to the growth and development of our people. Your experience at Sia Partners will be enriched by a(n): • Entrepreneurial journey, • Career advocacy program that supports achieving professional development goals through guidance, and real-time feedback, • Continuous learning & development opportunities, • Diversity, equity, and inclusion programs with an ever-growing list of global affinity initiatives To support its growth, Sia Partners is recruiting a Data Scientist Consultant with strong expertise in Marketing, Client, and Product challenges. Attached to the Data Science BU of Sia Partners, you will support the operational teams and marketing departments of our clients in defining their data needs and analyzing their data using data science techniques. This support takes various forms: Data Analysis, Strategic Support, Machine Learning & Statistics, Data Engineering & DevOps, Data Visualization, Data Transformation & Acculturation... The use cases can thus be varied: • Customer Loyalty:, • Customer Segmentation: Deepen the understanding of customers. Identify homogeneous customer profiles using clustering techniques, thus enabling optimal personalization of marketing campaigns., • Predictive Marketing: Develop and implement predictive models to anticipate customer behaviors, optimize marketing campaigns, and support customer retention strategy., • Define hyper-personalized marketing plans., • Enhanced Customer Experience:, • Using NLP models, analyze the causes of dissatisfaction from customer feedback, and extract structured information., • Leverage the latest AI models to offer hyper-personalized customer experiences (Personalized products, Recommendation engines, Connected objects)., • Pricing & Product:, • Contribute to pricing strategy, product development, and assortment optimization, as well as enhancing cross-selling strategies., • Capitalize on Generative AI to boost the creation of innovative products., • Geomarketing & Open Data:, • Integrate open data and geomarketing data into analyses to optimize targeting and campaign impacts., • Understand and anticipate the performance of the retail network., • Supply Chain & Operations:, • Predict sales to adjust production and inventory., • Developing or enhancing our offerings through training, working groups, internal and external communications, and R&D work., • Enhancing the firm's visibility by contributing to the publication plan (sector blogs, studies, press releases...) and marketing events., • Supporting business development by helping to define needs and participating in commercial activities., • Graduated with a master's degree in engineering or business school with a specialization in data analysis, statistics, and marketing. Ideally, you have initial experience in data analysis in a marketing context., • Excellent programming skills in Python, SQL, and data modeling., • Good knowledge and mastery of Data Science and Machine Learning algorithms (supervised methods, unsupervised methods, clustering…)., • Strong interest in marketing challenges and a good understanding of the luxury, FMCG, energy, banking, and insurance sectors., • Excellent communication and project management skills, with the ability to lead projects from conception to completion., • Proficiency in BI tools (Power BI, Tableau, Qlik…) and Python visualization tools (dash, plotly)., • Knowledge of a Cloud environment is appreciated (GCP, AWS, or Azure)., • Professional proficiency in English is required., • Joining Sia Partners means:, • Working on high-impact missions in various sectors (Energy, luxury, transportation, retail, finance…)., • Benefiting from a wide range of trainings and certifications in data, ensuring constant skill updates., • Evolving in a stimulating and dynamic professional environment with high value-added missions and internal R&D topics., • Joining a company committed to climate transition. Compensation & Benefits • Salary + Annual Discretionary Bonus, • Healthcare coverage that includes medical, dental, vision and life insurance policies, • Generous time off, • Parental leave paid at 100% of base pay for all new parents regardless of gender, • Future Moms Program, • 9 Company Holidays + 1 Floating Holiday, • 401(k) matching, • College save-up plan & college loan repayment plan, • Monthly cell phone stipend, • Commuter Benefits Compensation for this role is between $122,000 to $129,000 per year. Actual compensation within that range will be dependent upon the individual’s skills, experience, qualifications, and market location Our Commitment To Diversity Diversity, equity, inclusion, and belonging (DEIB) are part of Sia Partners’ DNA. Thanks to our expertise in several sectors and our international growth, our teams include a variety of experiences and cultures. We’re confident that promoting DEIB creates an environment in which everyone can reach their full potential. Our global network, DEIB@Sia Partners, brings together our people worldwide to facilitate local and global progress, focused on the following areas: • Gender equality (global Gender Equality Index score of 93/100 for 2023), • LGBTQ+, • Race & Ethnicity, • Working Parents Sia Partners maintains its hybrid workplace arrangements and provides a flexible workplace environment that is driven by client and business/market needs. At this time, in-person requirements are issued by departments (Business Unit/Business Line) and vary by office location. Consultants are expected to have the ability to be flexible with work location depending on business needs and live within a reasonable distance to the office. Work Authorization & Sponsorship At this time, Sia Partners does not intend to pursue employment with applicants who will require now or in the future visa by our company for work authorization in the United States (i.e., H1-B visa, F-1 visa (OPT), TN visa, or any other non-immigrant status). Sia Partners is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

Automation AI Security Engineer Brooklyn, NY Onsite Description: The resource’s function is essential to securing the City of New York’s systems for the MyCity Portal development project. Specifically, this resource will help aid in the automation of the Project's Artificial Intelligence (AI) capabilities with other cybersecurity tools. This requires the testing and hardening of the AI ecosystem through well-designed frameworks designed to protect the City of New York's systems and data from emerging cyber-attacks. MyCity is a single portal for all City services and benefits. The vision is a simple, seamless, and intuitive experience interacting with City government digitally. It is designed with New Yorkers at the center of the process to prioritize features by conducting user research. MyCity produces value for New Yorkers, early and often through phased releases. There are several phases within the MyCity portal workstream (Child Care, Business Portal, Workforce Development Services and others). One such phase has been the inclusion of artificial intelligence (MyCity Chatbot) into the platform to enhance New Yorker's ability to leverage the platform. OTI Cyber Command is looking for additional support as the cyber threat landscape continues to evolve and Citywide cybersecurity solutions are deployed in large, complex networked environments. The needed resource skill set is specialized in: working with software development teams to ensure the security and responsible use of AI applications by providing automation guidance at various stages of planning and implementing security design, processes and solutions, and, testing and validation. The resource will have significant interaction with NYC Cyber Command leadership, its engineering, architecture, and application security teams, incident response and other cyber security practitioners. TASKS: ● Design and implement AI-powered solutions that enhances the security posture of tools across multiple platforms. ● Develop security content for tools and technologies that the Threat Management team relies on to ensure business as usual functioning. ● Design and deploy machine learning models for threat detection, incident response, and security orchestration. ● Integrate innovative and custom technology to improve accuracy of alerts and notifications received by teams within Threat Management. ● Create well documented and clearly articulated code, process and services documentation. ● Understanding REST and SOAP API usage and implementing solutions utilizing APIs from Cyber Command utilized solutions, that enhance detection and response capabilities of the Threat Management. ● Handle special projects and initiatives as assigned. ● Perform various types of tests such as functional testing, regression testing, performance testing, and usability testing to evaluate the behavior and performance of the AI algorithms and models. MANDATORY SKILLS/EXPERIENCE: ● Bachelor’s degree in computer science, electrical or computer engineering or related field, or equivalent work experience. ● Ability to leverage REST API’s to build tool and platform integration. ● Proficient in git version control and git life-cycle development. ● 8+ years of hands-on experience in cybersecurity or information security and Python development. ● Demonstrated ability to write test scripts, automate test cases, and analyze test results using programming languages and testing frameworks. ● Ability to work independently to learn new technologies, methods, processes, frameworks/platforms, and systems. ● Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences. ● Ability to stay updated on the latest developments, trends, and best practices in both software testing and artificial intelligence. DESIRABLE SKILLS/EXPERIENCE: ● Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment. ● Understanding of public cloud platforms and experience with utilizing platforms such as Azure, AWS or Google Cloud. ● Experience working in a security environment and/or supporting security teams from a technical standpoint. ● Ability to work collaboratively in an interdisciplinary team environment. ● Highly flexible/willing to learn new technologies. SPECIAL REQUIREMENTS: Normal on-prem business hours Monday-Friday 35 hours/week (not including mandatory unpaid meal break after 6 hours of work).

About Daydream Daydream is the first chat-based shopping agent built exclusively for fashion. Designed to redefine how people search and discover fashion, Daydream offers a personalized, conversational experience powered by advanced AI and natural language understanding. Backed by top-tier investors including Forerunner Ventures, Index Ventures, Google Ventures, and True Ventures, our team is committed to shaping the future of shopping. About the role Are you passionate about the intersection of high fashion and cutting-edge artificial intelligence? As a Data Scientist at Daydream, you will be a foundational member of the team building the brain behind our AI Personal Stylist. You will leverage the latest advancements in Large Language Models to create a truly magical, intuitive, and sophisticated conversational experience. This is a unique opportunity to solve complex technical challenges while directly shaping a product that will revolutionize how people shop online. What you’ll do: * Design, build, and deploy core features for our AI stylist using advanced techniques like Retrieval-Augmented Generation (RAG) and LLM-powered agents. * Own the end-to-end lifecycle of our models, from data processing and fine-tuning to creating robust evaluation frameworks that measure quality and accuracy. * Masterfully craft and iterate on prompts to shape the AI's persona, ensuring it embodies the voice and expertise of a world-class fashion consultant. * Collaborate closely with product, design, and engineering teams to translate user needs and creative concepts into tangible, production-ready AI features. * Champion rapid, hypothesis-driven experimentation, embracing the freedom to take calculated risks, test bold ideas, and pivot quickly to discover breakthrough user experiences. * Stay at the forefront of the rapidly evolving AI landscape, researching and prototyping new architectures and techniques to continuously elevate our product. Who you are * You have hands-on experience working with Large Language Models (LLMs), including prompt engineering, fine-tuning, programmatic API usage, and building evaluation frameworks. * You have a strong interest or background in the fashion, retail, or luxury goods industry. You possess a keen eye for aesthetics and an intuitive understanding of the user you're building for. * You possess a strong background of machine learning fundamentals, including classification, regression, clustering, and the principles behind embeddings and gradient descent. You are proficient in Python and a major deep learning framework such as PyTorch or TensorFlow. * You are a pragmatic and proactive builder who thrives in a fast-paced, autonomous environment, capable of driving projects from a simple idea to a fully realized feature. * You are an empathetic and collaborative teammate, skilled at communicating complex technical ideas and passionate about building products that users genuinely love. What we offer * Competitive salary, equity and benefits (medical, dental, vision, 401k, etc.) * Flexible vacation and remote working * The opportunity to be part of a groundbreaking, AI-focused company * Collaborative work environment with a team of talented, fun-loving individuals. * Opportunity to learn and grow in your career while shaping the future of fashion, shopping and technology Commitment to Diversity Daydream is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, gender, sexual orientation, gender identity, age, national origin, or disability status.

Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With tens of millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: As a Senior Data Engineer on the Product Platform team, you will be instrumental in designing, building, and optimizing data pipelines and products that support foundational product services that are crucial to the operation of Hinge. Your work will have a direct impact on the reliability and scalability of these services, which are essential for delivering a seamless user experience. You will collaborate closely with product and engineering teams to create innovative solutions for handling large-scale data challenges, ensuring data consistency, low latency, and fault tolerance. You will be making a real impact on the product platform team and will be key to the success of Hinge. By enabling data-driven decisions and driving improvements to our product services, your contributions will ultimately affect the relationships of millions of people. \n Responsibilities: • Design, build, and optimize data pipelines that support critical foundational, cross-cutting product services, empowering the product team to make informed decisions., • Drive advancements in our Data Engineering stack by implementing containerization, refining data modeling techniques, and evolving ETL pipeline development to support emerging business needs and scalability requirements., • Leverage your data modeling expertise to design, build, and maintain our analytics data warehouse that delivers reliable, high-quality datasets for reporting, analytics, and machine learning purposes, supporting both short-term insights and long-term strategic initiatives., • Advocate for Data Engineering best practices within the team, championing their adoption and supporting the continuous improvement of the team's capabilities., • Work with stakeholders across the organization to understand their data needs and translate these needs into actionable data solutions., • Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our pipelines., • Participate in our on-call rotation to ensure system reliability, promptly addressing issues to ensure smooth operations. What We're Looking For: • 5+ years of professional/industry experience in data engineering, delivering data products from conception to delivery and supporting their underlying infrastructure., • Strong technical background in building and optimizing data pipelines, with proficiency in Python, SQL, and data modeling for different types of data sources and business processes., • Technical expertise in the following: Python, Go, Kubernetes, Docker, Terraform, CircleCI, GitHub Actions, Kafka, PubSub, Dataflow, Redshift, BigQuery, Databricks, dbt, Looker, • Experience with cloud environments such as GCP, AWS, or Azure, • Strong communication skills (written and verbal), with an ability to work collaboratively with cross-functional teams, including backend engineering, data science, and product teams., • Effective analytical, troubleshooting, and problem-solving skills, ensuring data systems operate efficiently and meet business needs., • Mentorship experience, with a focus on guiding junior data engineers and contributing to team growth through knowledge-sharing and code reviews., • A degree in computer science, engineering, or a related field. \n$177,500 - $213,000 a yearFactors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.\n As a member of our team, you’ll enjoy: 401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year. Professional Growth: Get a $3,000 annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day. Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.) Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide $10,000 toward fertility preservation. You and your spouse/domestic partner are both eligible. Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones. ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Vibras, Women/Nonbinary, Parents, and Remote—that hold regular meetings, host events, and provide dedicated support to the organization & its community. At Hinge, our core values are… Authenticity: We share, never hide, our words, actions and intentions. Courage: We embrace lofty goals and tough challenges. Empathy: We deeply consider the perspective of others. Diversity inspires innovation Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. #Hinge

Prizeout is a leading New York city based fintech company where innovation meets financial empowerment. We provide rewards and loyalty solutions to partners that revolutionize the way their customers engage and maximize their financial potential. We're seeking passionate individuals to drive our mission forward and transform the landscape of advertising and financial technology. We have built a team that values humility and innovation and we believe that embracing challenges makes us better. We hire people we trust, who will live these values and who are able to find a way to navigate through obstacles, embody an entrepreneurial spirit, and maintain a spirit of optimism. If that’s you, please read on and apply today! ABOUT THIS ROLE: As a Senior Data Analyst at Prizeout, you will work within the data and analytics team to tackle ambiguous challenges and to build analytical tools. You will work to discover and deliver insights that drive value for our clients and internal teams. The ideal candidate will be able to execute on projects independently as well as effectively communicate findings across a variety of different teams. \n WHAT YOU’LL DO: • Collaborate on initiatives that drive a better understanding of our user, partner, and merchant behaviors, • Create models and frameworks that uncover insights otherwise buried in our raw data, • Develop a deep understanding of Prizeout’s algorithms and logic, how they impact our marketplace dynamics, and utilize that knowledge to interpret trends in data, • Work with data leadership to create meaningful analyses and reports with recommendations that drive real impact, • Provide analytical support to our engineering, product, partners, merchants, and operations teams to power essential products and services and to drive new business WHAT WE’RE LOOKING FOR: • 3+ years of experience in quantitative analysis and analytical roles, • Experience in data mining, cohort analysis, A/B testing and knowledge of quantitative methods (statistics, machine learning, etc.), • Proficiency with open-source languages and systems such as SQL, Python, Excel, Tableau, etc., • Excellent communication skills with the ability to synthesize and convey learnings to others to drive product roadmap and business priorities, • The ability to thrive when tackling big, undefined problems, • Desire to drive business objectives through quantitative / predictive work, • Must be willing to work full-time in NYC; this is not a remote role, • Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time \n$105,000 - $120,000 a year\n WHAT IS PRIZEOUT? Prizeout is an advertising and financial technology company that helps put money back into people’s pockets. Through Prizeout’s technology, brand-funded offers are available to all partners, including financial institutions, gaming companies, gig economy startups, and more, giving them access to instant cashback from national and local brands when they shop with digital gift cards. The company was founded in 2019 and is headquartered in New York City. Prizeout 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.

Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With tens of millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: The Dating Outcomes group is responsible for ensuring people see their most compatible matches, helping them better present themselves, and even starting a conversation when they match with someone. In short, we help people go on dates! We are hiring Senior ML practitioners to help us build the foundations of an AI first dating experience using the latest advancements in the field leveraging Hinge’s years worth of preference data. You can expect to work on recommendation systems end to end, experiment with using LLMs, photo and mixed input embedding models as well as building and deploying real time predictive models that directly impact millions of users' experience. This is a fast-growing team and you will get a chance to own and define the strategy, vision, and plan for how to accelerate machine learning at Hinge. \n Responsibilities • Own and contribute to foundational models (e.g. CLIP embeddings) that powers our recommendations pipelines., • Contribute to the research and development of recommender models as well experiment with the latest ML innovations (e.g. LLM agents and transcription models), • Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters incrementally., • Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process., • Mentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scale., • Perform other job-related duties as assigned. What We're Looking For • Strong programming skills: Proficiency in languages like Python, Java or C++, • System design & architecture: Proven track record of training and deploying large scale ML models specially DNNs. Good understanding of distributed computing for learning and inference., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow or W&B is a plus., • ML knowledge: Deep understanding of DNN architectures, track record of building, debugging and fine tuning models. Familiarity with PyTorch, TF, knowledge distillation, recommender systems are a plus., • Dev-ops skills: The ability to establish, manage, and use data and compute infrastructure such as Kubenetes and Terraform., • Data engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage. Deep understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.., • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation, • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 4+ years of experience, depending on education, as an MLE., • 2+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes, • 1+ year of experience leading projects with at least 1 other team member through completion., • 2+ years of experience for Senior designing and developing online and production grade ML systems., • A degree in computer science, engineering, or a related field. \n$204,000 - $245,000 a year\n As a member of our team, you’ll enjoy: 401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year. Professional Growth: Get a $3,000 annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day. Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.) Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide $10,000 toward fertility preservation. You and your spouse/domestic partner are both eligible. Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones. ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Vibras, Women/Nonbinary, Parents, and Remote—that hold regular meetings, host events, and provide dedicated support to the organization & its community. At Hinge, our core values are… Authenticity: We share, never hide, our words, actions and intentions. Courage: We embrace lofty goals and tough challenges. Empathy: We deeply consider the perspective of others. Diversity inspires innovation Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. #Hinge

OneTrack enables effortless logistics operations for the world's largest brands and logistics companies. We do this by deploying camera sensors and other data capture devices along with our mission control platform and AI agents across their operations. We think in decades, not VC-fund cycles, and we're committed to delivering real value to an industry that needs us right now. Every team member is laser-focused on growing the value of our scalable computer vision platform, expanding into new markets, industries, and use cases. Today, OneTrack is deployed in 100s of warehouses across North America working with companies like Kellanova, Ryder, Church & Dwight, ID Logistics, and many more. We're off to a big start, and we're doing it on our terms and timelines. About the Position: We are seeking a mid-senior level Software Engineer with 5-10 years of professional experience in backend development with Python (using FastAPI, Flask, or similar frameworks), AWS (particularly Lambda functions), and frontend development (React, JavaScript, CSS/HTML). This person will primarily be focused on OneTrack AiOn, our agentic AI platform that automates engineering, analysis, HR, and compliances processes in logistics operations. You will be hands on building agentic products that work in the real world interacting with tens of thousands of people every single day. • 2-5 years of professional experience in software engineering., • Strong proficiency in Python and experience with backend frameworks such as FastAPI or Flask., • Demonstrated experience building agentic systems on top of foundation models, • Strong experience in prompt engineering, tool design, and RAG, • Experience with AWS services, particularly Lambda functions., • Experience with SQL-like databases, • Proficiency in frontend development with React, JavaScript, CSS/HTML., • Solid understanding of software development principles, including version control (Git), testing, and continuous integration/continuous deployment (CI/CD) practices., • Excellent analytical and problem-solving skills., • Strong communication and interpersonal skills, with the ability to collaborate effectively with clients and team members., • Ability to manage multiple projects and prioritize tasks in a fast-paced environment. Preferred Skills: • Experience with Docker and Kubernetes., • Experience with data visualization tools and libraries., • Understanding of machine learning concepts and AI applications., • Knowledge of security best practices in software development. Note: This is a company that works harder than anyone else. We grind. We don't stop. This is not for everyone. If you want to be at the forefront of making AI run operations in the real world and solve complicated problems at scale with a lot at stake and a ton of responsibility, this is for you. If you are easily overwhelmed, don't have the confidence to own complex projects, or need others to delegate tasks and responsibilities to, this is not for you. • Base salary + bonus & stock options eligibility, • Health insurance, dental, vision, PTO days, • Flexible working hours and remote work options, • Opportunities for professional growth and development, • A collaborative and innovative work environment

Office Location: Lower Manhattan, NY Accrete is a dynamic and innovative company focused on transforming the future of artificial intelligence. We specialize in creating advanced AI solutions that turn complex data into actionable insights, driving real-world impact for businesses and government organizations. Our team thrives on creativity and collaboration, working together to push the boundaries of AI technology. At the core of our offerings are our AI agents, designed to autonomously analyze data, generate insights, and make intelligent recommendations. These agents help businesses streamline operations, improve decision-making, and also empower government entities to enhance security, intelligence, and operational efficiency We are looking for a talented Machine Learning Engineer to join our Engineering team and contribute to the evolution of our AI products. Responsibilities: • Design, develop, and optimize machine learning models and pipelines for deployment in production environments., • Build scalable and efficient ML infrastructure to support data ingestion, model training, evaluation, and deployment., • Collaborate with data scientists, engineers, and research to integrate ML solutions into Accrete’s platform., • Implement best practices for model performance monitoring, versioning, and retraining., • Work with cloud-based platforms and distributed computing frameworks to improve system efficiency., • Optimize feature engineering, data preprocessing, and training workflows to improve model accuracy and efficiency., • Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, or a related field., • 5+ years of experience in designing and deploying machine learning models in production., • Strong programming skills in Python and proficiency in ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn., • Experience with cloud platforms (AWS preferred) and containerization technologies (Docker, Kubernetes)., • Proficiency in distributed computing frameworks like Spark, Ray, or Dask., • Experience with MLOps tools and techniques, including CI/CD for ML, model versioning, and monitoring., • Familiarity with large-scale data processing, data engineering principles, and feature stores., • Experience with reinforcement learning, NLP, or deep learning applications., • Knowledge of graph-based ML, generative AI, or other advanced ML techniques., • Exposure to edge AI and model optimization techniques (e.g., quantization, pruning). The salary range provided reflects the estimated compensation for this role based on the expected qualifications and experience level. The final offer may vary depending on factors such as skills, experience, and alignment with role requirements. Core Values & Expectations: Impact You take full ownership and accountability for your work, consistently seeing projects through from inception to completion with a strong bias for action. Proactively identifying challenges, you drive solutions rather than waiting for direction, and hold yourself and others to the highest standards for delivering results. With strategic thinking and a problem-solving mindset, you make informed decisions leveraging data and expertise, always looking for ways to improve processes, optimize workflows, and enhance outcomes beyond your immediate responsibilities. Collaboration You work seamlessly across teams, prioritizing shared goals and team success over individual credit. Engaged listening and open, candid communication are at the heart of your approach, ensuring alignment and synergy throughout the organization. You value diverse perspectives, seeking input from others to drive better results. By treating colleagues with respect and professionalism, you help build a culture of trust, supporting each other through challenges, celebrating successes, and constructively addressing conflicts to strengthen relationships and improve outcomes. Passion for AI & Innovation You are deeply excited about the transformative potential of AI and committed to contributing to a company shaping the future of work. With curiosity and a growth mindset, you continuously seek to learn, adapt, and stay at the forefront of new developments. Your enthusiasm for innovation drives you to explore new ideas, challenge the status quo, and find creative solutions that deliver meaningful impact. You approach your work with energy and a desire to advance both technology and the way we work. • Competitive Salary: Aligned with experience and market standards., • Comprehensive Insurance: Health, dental, and vision coverage to keep you and your family secure., • 401(k) Plan: Build your financial future with our retirement savings plan., • Flexible PTO & Hybrid Work: Take time off when you need it and enjoy remote flexibility per company guidelines., • Growth & Development: Access professional development, learning opportunities, and career advancement support., • Onsite Perks: Enjoy catered lunches, snacks, and a stocked kitchen., • Team Bonding: Company-sponsored happy hours and social events to connect and unwind.

Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With tens of millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role Hinge is hiring an experienced Staff ML Platform Engineer to drive the design, development and evolution of our Feature Store platform. You will own our streaming offline and online feature store capabilities, enabling Machine Learning Engineers (MLEs) to efficiently perform data exploration and feature engineering operations and utilize features for model training and model inference (batch, near real-time and online). You will collaborate closely with ML engineers, data scientists, data engineers, partner platform teams and project managers to ensure that our Feature Store scales to meet the growing data demands of our ML teams, provides intuitive workflows for feature management and satisfies requirements for data privacy and legal frameworks at Hinge. This role requires awareness and empathy for the applied AI/ML problem space. You will ensure that the Feature Store platform is truly self-service and serves the evolving needs of all ML stakeholders without incurring a linear operations burden. You will also be deeply integrated with the rest of the AI platform and understand data access patterns across the entire ML lifecycle. Your success will depend on maintaining a cohesive, end-to-end view of how data is used in early model experimentation, training, evaluation and inference in production. Being part of a small yet highly impactful team means having a broad scope of responsibility, and as ML is still in its early stages at Hinge, this role provides a chance to grow as a technical leader by mentoring others on the team and across the company. This is an exciting opportunity to own and help define the future of machine learning within a rapidly growing team! Responsibilities • Define the long-term, holistic roadmap for the Feature Store platform, aligning it with company-wide ML initiatives and ensuring end-to-end integration with model training, serving and observability platforms., • Evaluate and introduce new technologies, tools and best practices that enhance feature serving reliability, scalability, cost efficiency and throughput, including leading build vs buy discussions., • Architect, build, and maintain frameworks enabling MLEs for self service data ingestion and serving pipelines for both offline (batch, async) and online (low-latency) feature stores., • Partner with cross-functional Platform teams to represent feature engineering requirements and incorporate them into Hinge’s wider Platform capabilities., • Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand the ML development lifecycle and identify opportunities to accelerate the AI/ML development and deployment process., • Mentor and educate ML Engineers and Data Scientists on current and up and coming methods, tools and technologies for Feature Engineering., • Help design and architect an AI platform that adheres to the principles of responsible AI and simplifies privacy compliance. What We're Looking For • 5+ years of experience, depending on education, as an ML Platform Engineer, Data Engineer, or Platform Engineer developing and working with large scale, complex data processing and or warehousing systems., • 4+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes, • 3+ years of experience leading projects with at least 2 other team members through completion., • 2+ years of experience for Staff designing and developing online and production grade ML Feature Store systems., • A degree in computer science, engineering, or a related field., • Strong programming skills: Proficiency in languages like Python, Go, or Java., • System design & architecture: Ability to design scalable and efficient ML systems, particularly data intensive systems., • Data engineering expertise: Skills in handling and managing large streaming data processing systems and formats (parquet, json, protobuf, delta) including data cleaning, preprocessing and storage systems., • Feature Store Platform technology skills: The ability to establish and use Feature Store platforms such as Databricks, Feast, Tecton, Hopsworks, Ray, and/or similar., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure., • ML knowledge: Broad awareness of the entire ML lifecycle, including the data needs for training, serving and evaluation., • Communication skills: The ability to communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds through documentation, RFCs and presentations., • Software leadership skills: A track record of leading projects with multiple contributors and stakeholders through completion with quantifiable and measurable outcomes. #Hinge