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Job Description Senior Manager, Commercial Analytics & Data ScienceHow you’ll make an impact: • You will build machine learning models to answer key business questions impacting strategy and marketing spend allocation, • You will perform feature engineering and contribute to our feature store, • You will lead dashboard development and lead development of enhanced visualization toolsResponsibilities: What you’ll do:, • Build advanced machine learning models to inform marketing tactics (examples: adaptive clustering, reinforcement learning, regression modeling, price elasticity modeling etc.), • Execute sophisticated quantitative analyses and descriptive modeling to answer key business questions to shape business strategy., • Use enhanced python based graphical visualizations to deliver key insights to leadership., • Research and implement novel modeling techniques to solve complex business problems., • Develop analytics databases & lead development and maintenance of automated dashboards for AB experiment results., • Develop complex SQL queries combining data from a wide variety of sources in preparation of feature engineering or to perform analysis of business questions., • Measure incrementality of paid media campaigns using matched market testing.Requirements: What you’ll need:, • Bachelor’s or Master's degree in data science, computer science, statistics, engineering, or related quantitative field., • Strong prior experience in data science, business & statistical analytics., • 7+ years of experience in related field., • Strong background in SQL & Python, R is a plus., • Experience in machine learning algorithms & libraries. Examples: CausalML/EconML, TensorFlow, PyTorch, Keras, sk-learn, seaborn, LSTM, RNN., • Experience in visualization tools. Examples: Databrick AI/BI, Rshiny, Dash, Tableau., • Familiarity with Databricks platform is a plus., • Willingness to take initiative and to follow through on projects., • Excellent time management skills with the ability to prioritize and multi-task, and work under shifting deadlines in a fast-paced environment., • Must have legal right to work in the U.S.Compensation:, • $100 to $105/hr. (W2)Job req# 1654-1

Job Description Applied Physics is seeking a highly motivated and skilled professional to join our Machine Learning team at the Advanced Propulsion Laboratory at Applied Physics. In this role, you will have the opportunity to work on cutting-edge research in new and emerging fields. Responsibilities: • Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being addressed., • Implement, train, and validate proposed algorithms for specific problem domains., • Contribute to the integration of algorithms within larger programmatic systems that require these capabilities., • Collaborate with others in a multidisciplinary team environment to accomplish research goals., • Pursue both independent and collaborative research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory., • Publish research results in peer-reviewed scientific journals and present results at conferences, seminars, and meetings., • Travel as required to coordinate research with collaborators and visit field sites. Requirements • PhD in Computer Science, Computational Engineering, Applied Statistics, Applied Mathematics, or another technical discipline providing an underlying skillset in data analysis and Machine Learning techniques., • Fundamental knowledge of and/or experience developing and applying algorithms in one or more of the following Machine Learning areas/tasks: deep learning, representation learning, zero- or few-shot learning, active learning, reinforcement learning, natural language processing, ensemble methods, statistical modeling and inference (e.g., probabilistic graphical models, Gaussian processes, or nonparametric Bayesian methods)., • Experience in the broad application of one or more higher-level programming languages such as Python, Java, Scala, or C/C++., • Experience with one or more deep learning libraries such as PyTorch, TensorFlow, Keras, or Caffe., • Proven ability to undertake original research and communicate findings in peer-reviewed publications., • Experience working with a multidisciplinary team of scientists, engineers, and project managers to develop and apply these capabilities to inform engineering decisions., • Proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information. Benefits We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

Job Description Machine Learning Intern (R&D) Location: 5-days in NY office Job Type: Full time (June 15 - Aug 14, 2026) Job Reports To: Director of AI Salary Range: $30.00-$35.00/hr. About Jaan Health/Phamily Jaan Health is a leading AI-based care management company serving healthcare providers. For nearly a decade, the company has leveraged its easy-to-use, proprietary technology to enable health systems, medical groups, and ACOs to deliver high-quality, high-ROI proactive care to hundreds of thousands of previously underserved patients. Phamily, the company's core technology platform, has transformed chronic disease management with clinically tested AI and easy-to-use technology that enables physicians and care teams to offer high-touch, individualized patient care that has been proven to reduce investment in extra labor and the overall cost of care. Phamily helps ensure healthcare providers are compensated fairly for providing high-quality care between office visits, while improving the lives of patients with chronic diseases. Learn more at phamily.com. Job/Role Description: Jaan Health is building AI-powered infrastructure to transform healthcare from reactive treatment to proactive care. Our platform, Phamily, helps providers manage chronic conditions at scale—improving patient outcomes while reducing costs. We are looking for a Machine Learning Intern to work at the intersection of applied research and production systems, helping us advance cutting-edge AI in real-world healthcare environments. This role provides hands-on experience building, evaluating, and improving machine learning systems that directly impact patient outcomes and operational efficiency. Key Responsibilities: • Design and prototype novel ML approaches, especially in NLP, LLMs, and transformer architectures for healthcare use cases., • Conduct applied research through experimentation, evaluation, and model iteration., • Develop prompting strategies, fine-tuning techniques, and retrieval workflows., • Translate research findings into scalable production-oriented systems., • Build evaluation frameworks connecting model performance to healthcare outcomes., • Collaborate with engineering and product teams to deploy AI-powered features., • Work with large, real-world healthcare datasets and derive actionable insights., • Document methodologies, findings, and technical recommendations. Requirements: • MS or PhD candidate in Machine Learning, Computer Science, or related field, • Strong background in deep learning, NLP, and/or LLMs, • Hands-on experience with PyTorch / TensorFlow / Hugging Face, • Proven ability to run experiments and derive insights from data, • Solid Python skills and comfort working with real-world, messy datasets, • Interest in bridging research → production impact Preferred Requirements: • Experience with conversational AI, • Experience with LLM evaluation, fine-tuning, or retrieval systems, • Exposure to healthcare data or applied ML in regulated domains Work Style: We are a fast-growing, early-stage company with a bold mission and significant work ahead; every employee at Jaan Health must embody growth company DNA. This means you have proven success in a high-performing environment: high velocity, strong ownership, comfort with ambiguity, resilience, and a true growth mindset. You are both a playbook builder and executor, able to design scalable approaches for today while anticipating what the business will need tomorrow, and then follow through to deliver results. Our culture is built on five principles that shape how we work, lead, and grow: • Care: We put patients, clients, teammates, and outcomes first., • Curiosity: We ask better questions, challenge assumptions, and keep learning., • Clarity: We simplify complexity, communicate directly, and create alignment., • Co-Creation: We collaborate across teams, perspectives, and disciplines., • Craftsmanship: We execute with excellence, ownership, and continuous improvement. What You'll Gain Through this internship, you will gain: • Work on high-impact, real-world AI problems in healthcare, • Own projects that go from research ideas → deployed systems, • Collaborate with a fast-moving, product-driven ML team, • Real-world experience in a fast-paced, high-growth environment, • Exposure to executive leaders and cross-functional teams, • Mentorship and professional development support, • Experience solving real business challenges, • Stronger communication, collaboration, and problem-solving skills, • Opportunity to build confidence, ownership, and business acumen, • A collaborative, mission-driven team helping transform healthcare at scale If you take pride in delivering results, embrace challenges, and proactively seek improvement, then this is the place for you. You'll join a smart, humble, and collaborative team dedicated to improving healthcare. Equal Employment Opportunity Phamily is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, genetics, veteran status, sexual orientation, gender identity or expression, or any other legally protected status.

Job Description About Cleerly We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time.Cleerly is committed to providing safe and effective medical software that meets customer needs and our intended use. The adherence to all applicable regulatory and statutory requirements establishes a clear framework for setting measurable quality objectives. Our commitment to continually improving our products and processes proactively manages risks, ensuring ongoing compliance throughout the entire software lifecycle. Understanding this role's relevance and importance is critical to achieving Cleerly's quality objectives. About the Opportunity We are seeking a highly skilled Senior Scientist to lead the design, development, validation of innovative clinical workflow that can directly impact the diagnosis and treatment for heart disease. In this senior-level role, you are responsible for architecting a cutting-edge product that integrates our existing technologies while pushing the boundary of innovation in cardiac vascular imaging. You will also represent the company in strategic research collaborations with leading academic and clinical institutions, driving innovation at the intersection of AI and cardiovascular health. About the Team You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly's regulated products. Responsibilities • Research and develop state-of-the-art AI and non-AI algorithms for coronary CT imaging applications., • Translate product and clinical requirements into algorithmic specifications in collaboration with Product and Clinical teams., • Partner with Regulatory Affairs to support regulatory submissions (e.g., 510(k), De Novo,PCCP), including generating evidence and documentation., • Collaborate with engineering teams to deploy AI and non-AI based solutions in clinical practice., • Communicate findings and strategy to internal stakeholders through clear technical documentation, presentations, and demos., • Contribute to intellectual property development through patents and scientific publications. Requirements • Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field, with 3+ years combined postdoc and/or industry experience; OR an M.S. with 5+ years of relevant experience., • R&D experience in medical image processing, demonstrating subject matter expertise in deep learning methods for image quality enhancements, optical flow analysis and CT harmonization., • Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis)., • Strong experience in Python, Tensorflow and pytorch., • Prior experience with ITK, OpenCV, VTK., • Excellent interpersonal, cross-functional, and cross-cultural collaboration skills. Preferred qualifications • 3+ years of industry experience in AI-based medical device development or clinical deployment., • Experience supporting FDA regulatory submissions for ML-based software, including familiarity with De Novo, 510(k), and PCCP pathways., • Deep domain knowledge in cardiovascular imaging and CT interpretation workflows. The base salary range for this role varies by location and is aligned to market benchmarks. • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range., • Final compensation is determined based on location, experience, skills, and internal equity. This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges: • Base Salary: $186,000 - $212,000, • TTC: $214,000 - $245,000 *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards. Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact, • T: Teamwork- together we win Don't meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. For more information see our Privacy Policy (https://cleerlyhealth.com/privacy-policy). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

Job Description About Us Daat Lab is an AI venture studio that collaborates directly with businesses to transform deep domain expertise into valuable, commercial-grade AI products. We assist companies in identifying and validating high-impact, AI-feasible use cases. Our process spans from initial ideation and building a proof of concept to developing a fully commercializable product and successfully launching it in the market. We maintain an active presence across multiple sectors, including real estate, digital marketing/e-commerce, and health, with an ambitious goal of adding one new product to our portfolio every month. About the Role We are looking for a software engineer to help take concepts from ideas to product. You will work directly with our strategy team and business partners to identify high-value, AI-feasible opportunities, shape product direction, and execute quickly. You’ll own the full product cycle including: discovery, prototyping, building, shipping, and iteration, often across multiple projects at once. This is a hands-on role for someone who thrives in ambiguity, moves fast, and likes being close to customers. What You’ll Do: • Own multiple projects from end to end: brainstorming product concepts, generating POCs to be evaluated and owning builds to reach a minimum viable product., • Build full-stack applications (backend, frontend, data layer, infra, deployment, and monitoring)., • Experiment with AI functionality on each case: classical ML when needed (forecasting, scoring, classification), plus LLM/agent workflows and evaluation loops, • Establish engineering standards: code quality, CI/CD hygiene, logging/analytics, basic security, • Work directly with design partners and ship weekly updates Requirements • You should have:, • 3+ years shipping full-stack products end-to-end, • Strong Python and modern web stack (React/Next.js + APIs + DB + deployments), • Data processing and Machine learning fundamentals (pandas, Sklearn, pytorch/tensorflow, model evaluation), • Experience experimenting with LLMs and Agent frameworks (Open AI SDK, Google ADK, Langchain/Langraph, MCP), • Comfort with ambiguity, fast cycles, and customer-facing iteration, • What Success Looks Like:, • Ship multiple POCs that clearly validate feasibility and ROI, • Bring at least one concept to a usable MVP with design-partner feedback loops Benefits • Salary: $110 - 140k (full-time hire, will start as a 1099 contractor) Please note: Daat Lab is a separate entity, unrelated to Alchemy Worx.

Job DescriptionRole Description We're looking for a talented and ambitious machine learning engineer with 5+ years of experience building production AI systems who's excited to tackle one of the toughest challenges in healthcare: automatically resolving claim denials. You'll be the technical lead for their agentic AI platform that autonomously researches, understands, and resolves insurance claim denials, helping healthcare practices recover millions in lost revenue. Insurance claim denials cost healthcare practices $125 billion annually, and resolving them requires deep expertise in medical billing, payer rules, and claim documentation. Today, billing managers spend hours manually researching each denial, gathering supporting documentation, and crafting appeals. We're building an agentic AI system that automates this entire workflow - from denial classification and root cause analysis, to evidence gathering and appeal letter generation. As a machine learning engineer, you'll architect and build the intelligent agents that power this system. You'll design multi-agent workflows that collaborate to interpret complex denial reasons, retrieve relevant clinical and billing information through RAG systems, reason about payer policies, and generate compelling appeals. This is a greenfield opportunity to build a production agentic system that will directly impact the financial health of healthcare practices. you can You should be comfortable (and excited!) about working in a fast-paced, early-stage startup environment where you can wear many hats and take on new challenges as they arise. This is a great opportunity for someone who wants to work on a highly challenging project at the intersection of AI and healthcare. THIS ROLE IS FULL-TIME. We're looking for candidates based in NYC. NO RELOCATION What you'll do • Design and build the architecture for our agentic AI system that autonomously resolves insurance claim denials, • Develop specialized AI agents for denial classification, root cause analysis, evidence retrieval, policy reasoning, and appeal generation, • Implement multi-agent orchestration frameworks that coordinate complex workflows across research, decision-making, and document generation, • Build and optimize RAG systems to retrieve relevant clinical documentation, billing records, and payer policy information, • Create evaluation frameworks and feedback loops to continuously improve agent performance and reliability, • Design prompt engineering strategies and fine-tuning approaches to optimize LLM behavior for healthcare billing workflows, • Work closely with billing managers to understand denial resolution workflows and translate them into agent behaviors, • Collaborate with the engineering team on production infrastructure for deploying and monitoring AI agents at scale, • Actively contribute to building the team's AI/ML vision and technical roadmap, • Collaborate on code reviews and technical design documents to ensure code quality and distribute knowledgeWe’d love to hear from you if…, • You’re passionate about Healthcare AI/ML – you want to solve real, pressing problems for providers and put them in control of their businesses. You naturally empathize with users and enjoy designing solutions with their needs in mind., • You’re excited to shape the future of our engineering team and lead by example – as an early team member, you’ll have the chance to influence everything from our technical roadmap to our company culture. You have a radical sense of ownership with the ability and desire to own technical roadmaps and refine ambiguous problems. You also have a low ego, a growth mindset, and a desire to see the product and team scale with your impact., • You have a love for your craft and strong technical execution - You view coding as a craft, not just a task, and you're excited about using technology to create meaningful impact. Your technical skills go beyond coding; you care about building a product that works at scale, with the user at the forefront. Must have 5+ years of experience in machine learning engineering, with a focus on building production AI systems and deploying models at scale. Strong experience with machine learning frameworks (PyTorch, TensorFlow, or JAX) Experience working with healthcare data or understanding of medical billing workflows is a plus Must be Proficiency in: • Python and modern ML frameworks (PyTorch, TensorFlow, or JAX), • LLM technologies, including prompt engineering, fine-tuning, and RAG systems, • Vector databases and semantic search systems, • Building reliable, production-grade AI systems with proper evaluation and monitoring, • MLOps practices, including model versioning, A/B testing, and performance tracking, • Working with APIs and integrating AI systems into broader product workflows , Joining a meaningful team means the opportunity to make a direct, meaningful impact on clinicians' lives and the financial health of their practices. Here’s what you can expect from working with us: Meaningful Impact You’ll be tackling one of the most complex challenges in healthcare, helping practices thrive in a chaotic financial landscape. Your work will directly help solve one of the most hair-on-fire problems for providers, ensuring they can focus on what they do best: caring for patients. Autonomy & Ownership As an early team member, you’ll have significant autonomy and the chance to shape our company from the ground up. You’ll have ownership over your work and the freedom to challenge the status quo in an environment that values initiative and creativity. Growth & Learning We’re a small, ambitious team with big goals, which means you’ll be constantly learning and growing. You’ll take on new challenges, expand your skill set, and have direct access to experienced founders and advisors who are invested in your development. We also offer stipends for professional development courses & books (which we often take together!) so we can all continue to grow.

Job DescriptionImmediate Start - Quant Researcher – Systematic Commodities Hedge Fund Moreton Capital Partners is rapidly expanding and seeking a talented Quantitative Researcher to join us in our Mexico City office to sit alongside a world class, international team. This is a high-impact role from day one. You'll take full ownership of designing, testing, and refining the next generation of alpha signals in commodity futures, with your models feeding directly into live trading portfolios. Our research is grounded in advanced machine learning, robust testing frameworks, and deep expertise across global commodity markets. We're looking for someone ready to hit the ground running and available to start immediately. In return, we offer a competitive salary, substantial performance share, comprehensive benefits, incredible work environment and a relocation package to make the move seamless. Key Responsibilities • Research, prototype, and validate systematic trading signals across commodities using advanced ML methods., • Design and implement rigorous backtests with realistic frictions, walk-forward validation, and robust statistical tests., • Engineer and evaluate novel features from prices, fundamentals, positioning, options data, and alternative datasets (e.g., satellite, weather and global commodity cash pricing)., • Blend multiple alpha forecasts into meta-models and portfolio signals, leveraging ensemble and Bayesian methods., • Develop portfolio construction and optimization techniques and analysis tools to be able to enhance performance and track effects on portfolio execution., • Collaborate with developers to transition research into production-ready strategies., • Monitor live performance, attribution, and model drift, ensuring continual improvement of the alpha library. Requirements • Masters or PhD in either Statistics, Economics, Computer Science., • Strong background in machine learning and statistical modelling (tree-based models, regularization, time-series ML)., • Proficiency in Python (pandas, NumPy, scikit-learn, XGboost, PyTorch/TensorFlow)., • Understanding of time-series forecasting, cross-validation techniques, and avoiding look-ahead bias., • Academic experience in research and proven ability to translate academic work to production code., • Prior exposure to systematic trading or financial modelling., • Ability to design experiments, interpret results, and iterate quickly in a research environment. Bonus points for: • Knowledge of commodities (agriculture, energy, metals) or macro markets., • Experience with feature engineering on non-traditional datasets (options positioning, weather, satellite)., • Experience collaborating in version control environments., • Familiarity with portfolio optimization, risk parity, or Bayesian model averaging., • Publications, Kaggle competitions, or research track record demonstrating applied ML excellence. Benefits • Direct impact: Your alphas will go live into production portfolios, with real capital behind them., • Research-first culture: We value deep thinking, novel approaches, and systematic rigor., • Close collaboration across a global team., • Career growth: Clear trajectory to senior researcher roles as we scale AUM and expand product lines., • Attractive compensation: Highly competitive base salary and annual bonus that scales as the business grows., • Relocation package to our Mexico City office, along with a competitive benefits offering that includes health and life insurance, a year-end bonus, and generous paid time off., • Positive, inclusive and encouraging work environment.

Job Description Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions. As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production. The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems. Requirements Key Responsibilities: • Design and implement AI algorithms and models to solve real-world problems., • Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions., • Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes., • Develop technical documentation as well as customer-facing documentation and presentations., • Stay updated with the latest research and trends in AI and propose innovative ideas to improve our offerings. Qualifications: • Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field., • 5+ years of experience in AI/ML development with demonstrated success in deploying machine learning models to production., • Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn., • Experience with cloud-based AI services such as AWS, Google Cloud, or Azure., • Strong analytical and problem-solving skills, with a proven ability to interpret business requirements into technical solutions., • Excellent communication skills and ability to convey complex technical concepts to non-technical stakeholders. Preferred Skills: • Experience with natural language processing (NLP) or computer vision applications., • Knowledge of MLOps principles and tools., • Familiarity with version control systems (e.g., Git) and Agile methodologies. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. #LI-remote

Job DescriptionCompany Description Uncommon Schools is a nonprofit network of high-performing public charter schools dedicated to providing an exceptional K-12 education in economically disadvantaged communities. Operating in Boston, Camden, New York City, Newark, and Rochester, we are committed to closing the college completion gap and preparing every student for college and beyond. Our students consistently exceed national benchmarks, reflecting our dedication to their success. We invest deeply in our educators, offering weekly coaching, feedback, and professional development to ensure excellence in teaching and leadership. Join us to work hard, do good, and make a lasting difference! Job Description Are you passionate about building AI systems that solve real operational challenges within the education sector? We're looking for a Senior Architect, AI Systems to lead the vision setting for and deployment of AI solutions across Uncommon Schools—from intelligent agents that automate workflows to secure integrations with our core systems. In this role, you'll translate business needs into scalable AI infrastructure, mentor developers across functions, and help shape how our organization leverages generative AI. Your work will directly impact how thousands of educators and administrators work each day. Duties & Responsibilities Solution Vision & Architecture • Gather requirements from stakeholders across Uncommon and translate business challenges into comprehensive technical specifications for end-to-end AI systems, • Design and architect AI solutions including data flows, model selection, and integration patterns that balance innovation with reliability, • Partner with business process owners, product managers, and system managers to align AI capabilities with user needs and organizational goals Development & Deployment • Rapidly prototype and build Proofs of Concept and Minimum Viable Products using Large Language Models, Retrieval-Augmented Generation (RAG) pipelines, and AI agent frameworks, • Architect and deploy production-grade AI agents that automate complex workflows while ensuring scalability, observability, and continuous performance monitoring, • Build secure API integrations and data pipelines that allow AI systems to safely interact with core Uncommon databases without errors or data hallucination Infrastructure & Enablement • Establish reusable AI stack templates and low-code tools that empower non-technical team members to develop solutions independently, • Maintain comprehensive documentation of AI environments, tools, and data flows to ensure organizational clarity and consistency, • Work with Data & IT product managers to determine implementation pathways and data architecture across systems Governance & Continuous Improvement • Develop and maintain a library of "Prompt Blueprints" and best practices for AI implementation across the organization, • Ensure 100% compliance with security audits regarding personally identifiable information handling within AI systems, • Coach and support adjacent teams on AI development methodologies and emerging best practicesQualifications Required • Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent professional experience, • 7+ years of professional software development experience, • 5+ years of hands-on experience building integrations using APIs between applications, • 5+ years working with source control and continuous integration tools (such as GitLab), • Proficiency coding or scripting in at least one programming language (Python, SQL, JavaScript/TypeScript, or Node.js), • Experience with frequent, incremental code testing and deployment practices, • Strong understanding of automation tools and SDLC methodologies Preferred • Master's degree in Computer Science, Data Science, or related field, • Hands-on experience with AI frameworks such as LangChain, LlamaIndex, TensorFlow, or PyTorch, • Expertise deploying solutions on cloud platforms (AWS Bedrock/SageMaker or Google Cloud Vertex AI), • Experience working with modern data tooling (e.g., dbt, Airflow) or similar frameworks for data transformation and workflow orchestration is a plus, • Experience designing and optimizing prompts for generative AI models, • Track record mentoring or coaching other developers on technical practices Additional Information Compensation Our people are what make us Uncommon. We offer competitive compensation and comprehensive benefits that support the personal health, wellness, and finances of our staff and their families. Our compensation philosophy values equity & fairness and attracting & retaining top talent. The full compensation range for this role is $120,700-$142,000. Typically, new hires who fully meet all qualifications listed in the job description will start at $124,300. Starting compensation below this reflects candidates with less experience or qualifications. Offers near the top end of the range are reserved for candidates who significantly exceed the qualifications, bringing extensive experience and specialized expertise beyond what is listed. Compensation determinations consider relevant professional experience and tenure with Uncommon Schools. Additionally, because we value internal growth and tenure, current staff members are not subject to salary caps within this range. Benefit Highlights • 19 days of paid time off, • 3 weeks of paid Winter and Summer org-wide holidays, • Comprehensive Health, Dental, and Vision insurance plans, • 403(b) retirement savings program + employer match, • Paid leave of absence options (parental, medical, disability, etc.), • Mental health and counseling support + wellness benefits, • Pre-tax flexible spending, dependent care, and health saving accounts, • A detailed list of all benefits is located HERE Work Environment • Location and Schedule: Uncommon is an in-person organization, with a commitment of at least three days each week at our Central Office in downtown Manhattan (100 Church Street)., • On-call availability: You'll be on-call for data infrastructure emergencies, • Potential after-hours work: Data migrations, emergency pipeline fixes, and critical infrastructure maintenance may occasionally require work outside standard business hours, • Travel: Minimal travel, including quarterly school visits and routine local travel within the region, • Physical requirements: Minimal physical demands; role primarily involves sitting at a desk for extended periods At Uncommon, we believe that a supportive and welcoming environment helps our students, staff, and community thrive. We are dedicated to building a team that brings a wide range of perspectives and experiences, reflective of the communities we serve---with over 70% of our staff identifying as people of color. Our organization values respect and open dialogue on important topics that shape our school culture. As an equal opportunity employer, Uncommon 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. We also ensure that individuals with disabilities receive all privileges and benefits associated with employment and are provided reasonable accommodations for the interview process and to perform core job functions. If you would like to request an accommodation, please email recruitment@uncommonschools.org.

Job Description About impact.com impact.com is the world's leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L'Oréal, and Fanatics - rely on impact.com to power more than 350,000 partnerships that deliver measurable business results. Your Role at impact.com: We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that optimize yield, pricing, and inventory allocation at scale — sitting at the intersection of data science, platform engineering, and marketplace economics. This is a high-craft, high-ownership individual contributor role. You'll work end-to-end: architecting the data pipelines that feed your models, engineering the features that drive performance, and deploying real-time inference systems that make decisions at speed. Your work directly determines how effectively Impact's programmatic marketplace balances advertiser performance with publisher monetization — making this one of the highest-leverage technical roles in the business. You'll collaborate closely with Product, Data Science, and Programmatic Delivery Engine Engineering, but you operate with significant autonomy. You're expected to bring both the modeling rigor of a data scientist and the production instincts of an ML engineer — and to be genuinely excited about both. What You'll Do: Yield Optimization & Pricing Models • Design and deploy ML models that optimize auction pricing, bid shading, floor price setting, and yield across Impact's programmatic inventory., • Build and iterate on real-time pricing algorithms that balance short-term revenue efficiency with long-term publisher and advertiser health., • Develop and maintain feedback loops that allow pricing models to adapt to shifting market conditions, inventory mix, and demand patterns., • Quantify the revenue impact of pricing model improvements; communicate tradeoffs between yield maximization, fill rate, and partner ROI to stakeholders. Inventory Allocation & Supply Optimization • Own ML-driven inventory allocation logic: routing, pacing, and matching supply to demand across partner segments, deal types, and campaign objectives., • Build models that forecast inventory availability, demand curves, and clearing prices to support proactive allocation decisions., • Identify and address inefficiencies in inventory utilization — including unsold inventory, suboptimal deal matching, and allocation imbalances across the publisher base. Data Architecture & Feature Engineering • Design and own the data infrastructure that feeds programmatic models: event pipelines, feature stores, training datasets, and real-time feature serving., • Engineer high-signal features from auction logs, bid stream data, user signals, contextual attributes, and historical performance — at the scale of programmatic data volumes., • Build robust data pipelines with production-grade standards: reliability, observability, versioning, and efficient reprocessing. Real-Time Inference & Production ML • Deploy models to production real-time inference environments; own latency, reliability, and throughput requirements for auction-time decision-making., • Build monitoring systems that track model performance, data drift, and system health in production; define alerting thresholds and retraining triggers., • Partner with MLOps and Platform Engineering to ensure scalable, low-latency serving infrastructure meets SLOs under high-volume auction traffic., • Own the full model lifecycle: training, evaluation, deployment, A/B testing, and iteration. Experimentation & Performance Measurement • Design and execute rigorous A/B and holdout experiments to measure the causal impact of model changes on yield, fill rate, advertiser performance, and publisher revenue., • Build evaluation frameworks that go beyond offline metrics — validating model behavior in live auction environments where feedback signals are delayed or noisy., • Translate experimental results into clear business narratives; present findings and recommendations to Product and business stakeholders. Self-Learning Systems & Feedback Loops • Research and implement adaptive, self-learning components within the programmatic stack — including contextual bandits, reinforcement learning signals, and online learning approaches where appropriate., • Design feedback mechanisms that close the loop between auction outcomes, model updates, and system behavior; reduce reliance on manual tuning and rule-based overrides., • Stay current with advances in programmatic ML, auction theory, and online optimization; evaluate applicability to Impact's specific marketplace dynamics. Cross-Functional Collaboration • Serve as the primary ML technical partner for the Rubicon product and engineering teams; translate business requirements into modeling approaches and communicate technical tradeoffs clearly., • Collaborate with Data Science peers on shared infrastructure, modeling standards, and cross-domain feature reuse., • Document models, architectures, and experimental findings to a standard that enables review, replication, and knowledge transfer across teams. What You Bring: Required • Experience: 5+ years in data science, ML engineering, or quantitative research, with at least 2+ years building and deploying ML models in programmatic advertising, ad tech, marketplace optimization, or a closely related domain (e.g., real-time bidding, dynamic pricing, auction systems)., • Programmatic & marketplace depth: Demonstrated understanding of programmatic auction mechanics (RTB, header bidding, floor pricing, deal types, bid shading) and how ML can be applied to optimize outcomes across the supply-demand stack., • Production ML engineering: Proven ability to take models from prototype to production independently — including real-time inference, monitoring, retraining pipelines, and SLO ownership., • Data architecture: Experience designing and building data pipelines, feature stores, and training infrastructure for high-volume, low-latency ML systems., • Technical skills:, • Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow) and large-scale data tools (Spark, Kafka, or equivalent streaming/batch frameworks)., • Experience with real-time feature serving and low-latency model deployment (REST APIs, gRPC, or streaming inference)., • Familiarity with production ML workflows: model versioning, drift monitoring, A/B testing, evaluation, and retraining., • Experience processing and modeling at programmatic data scale: high-cardinality auction logs, bid stream data, impression and click events., • Experimentation rigor: Strong grasp of causal inference and experiment design in online, delayed-feedback environments (auction holdouts, switchback tests, variance reduction techniques)., • Communication: Ability to explain complex modeling decisions and tradeoffs to Product and business stakeholders; comfortable presenting in cross-functional forums., • Education: Bachelor's in a quantitative field (CS, Statistics, Math, Engineering, Economics, or similar); Master's/PhD preferred. Preferred / Nice to Have • Direct experience with SSP, DSP, or exchange-side yield optimization — particularly floor price optimization, bid landscape modeling, or deal matching algorithms., • Familiarity with auction theory (first-price vs. second-price dynamics, optimal reserve pricing, revenue equivalence) and its practical implications for programmatic ML., • Experience with contextual bandits, multi-armed bandits, or reinforcement learning applied to real-time decisioning problems., • Knowledge of online learning and adaptive algorithms in production environments with non-stationary data distributions., • Familiarity with privacy-preserving ML techniques relevant to programmatic (differential privacy, federated learning, cookieless attribution modeling)., • Experience with GCP tools (BigQuery, Vertex AI, Dataflow, Pub/Sub) and/or Databricks/Spark for large-scale event processing and model training., • Exposure to supply forecasting, inventory management, or capacity planning in programmatic or marketplace contexts., • Familiarity with Impact's affiliate and partnership ecosystem, or prior experience at the intersection of performance marketing and programmatic delivery. What Sets You Apart • Marketplace intuition. You understand programmatic auctions not just as an engineer but as an economist — you think about incentive structures, equilibrium dynamics, and how model decisions ripple through the supply-demand stack., • Full-stack ML ownership. You're as comfortable designing a feature store schema as you are tuning a gradient boosting model or debugging a latency spike in production. You own the whole chain., • Feedback loop thinking. You don't just deploy models — you design the systems that make them smarter over time. You think about how today's decisions become tomorrow's training signal., • Rigor under real-world constraints. You know how to run clean experiments in environments where feedback is delayed, data is noisy, and business pressures create tradeoffs. You don't let imperfect conditions become an excuse for imprecise thinking., • Pragmatic delivery. You ship. You balance the perfect with the production-ready, iterate fast, and know when an MVP outperforms a six-month research project., • Collaborative depth. You build genuine technical trust with engineering and product partners — not just by having good ideas, but by following through, communicating clearly, and making the integration easy. Salary Range: $165,000 - $185,000 per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant. *This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Benefits and Perks: At impact.com, we believe that when you're happy and fulfilled, you do your best work. That's why we've built a benefits package that supports your well-being, growth, and work-life balance. • Medical, Dental, and Vision insurance, • Office-only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled, • Flexible spending accounts and 401(k), • Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life., • Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health., • A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval., • Investing in Your Growth: We're committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses., • Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver., • Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. impact.com is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors. #LINewYorkNewYork

Job Description About Synchron Synchron’s vision is to build non-surgical brain–computer interfaces at global scale that protect the fundamental human rights of freedom of expression and autonomy. Our first mission is to develop motor decoders that restore the ability of 15 million people with paralysis to interact with the digital world. Our second mission is to develop whole-brain cognitive decoders that enable hundreds of millions of people with cognitive decline to preserve and expand their agency as cognition changes over time. In pursuing these goals, we aim not only to help humans flourish, but also to drive fundamental discoveries in human intelligence. Our team operates at the intersection of healthcare and technology, translating breakthrough research into real-world, safety-critical systems. Employment: Full-Time Location: Brooklyn, New York (Onsite) About the Role We are seeking an energetic, personable, and adaptive researcher to work directly with the pioneering participants of our brain-computer interface (BCI) product. This role bridges human neuroscience research, applied machine learning, and real-world BCI deployment. You will work closely with our machine learning, research engineering, clinical, and product teams to collect, analyze, and interpret neural and behavioral data, contributing directly to the improvement of real-time neural decoding models and user experience. Your work will directly translate to the ability of our users to control the BCI. The ideal candidate is resourceful, learns fast, handles uncertainties strongly, and has excellent experiment operations. You should be as comfortable speaking with participants and their caregivers as you are experimenting with model training pipelines or analyzing data. Key Responsibilities • Conduct research sessions with BCI users, including setup, calibration, and structured data collection., • Analyze and interpret multimodal data (neural, behavioral, video) to inform product and research decisions., • Develop and iterate on machine learning models for neural signal decoding and behavioral prediction., • Collaborate with machine learning and research engineering teams to align experimental protocols with product goals., • Document findings and methodologies for internal and external dissemination., • Support the design of human research protocols and ensure compliance with ethics and safety standards., • Travel regularly as required to work with participants, clinicians, and collaborators. Required Qualifications • Bachelor’s, Master’s, or PhD in Neuroscience, Computer Science, Biomedical Engineering, or a related field (or equivalent experience)., • Expertise in Python, with model training workflows (e.g., PyTorch, TensorFlow, scikit-learn, metaflow), and data science frameworks and tools (e.g., NumPy, Pandas, SciPy, matplotlib, seaborn)., • Expertise in machine learning techniques and applications for real-time systems, • Demonstrated ability to problem-solve under uncertainty and adapt quickly to new environments., • Excellent interpersonal and communication skills for working directly with BCI users and research participants., • Ability to travel frequently to the participants for research sessions. Preferred Qualifications • Experience conducting or supporting human research., • Familiarity with brain–computer interface systems or electrophysiological data., • Experience designing or executing experiments with human participants., • Experience in applied research environments integrating software, hardware, and data science.Compensation, • The base salary range for this role is $150,000 – $220,000USD depending on experience, skills, and qualifications., • In addition to base salary, this role may be eligible for discretionary bonuses and/or equity grants, subject to board approval and company policy. Visa Sponsorship We are unable to offer visa sponsorship for this position at this time. Benefits (for W-2, full-time, exempt employees in the US only) *Intern positions not eligible • Subsidized medical and dental insurance coverage for you and your dependent(s), • Life insurance, short-term disability, long-term disability, • 401k, • Discretionary unlimited PTO, • Flexible Spending Account for you and your dependent(s), with eligible plan elections, • Commuter benefits for NY employees Equal Employment Opportunity (EEO) Synchron is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants and provide equal employment opportunities without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable law. If you need a reasonable accommodation during the application or interview process, please let us know. Join Us At Synchron, you will be part of a transformative mission and you will work alongside driven people who believe in the power of collaboration and innovation to make a lasting impact. If you are excited to stretch your skills and contribute to something meaningful, apply and now and build the future with us.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Applied Deep Learning and AI. This advanced course delves into deep learning, blending key elements from Statistical Machine Learning. Students will gain a solid foundation in supervised learning and other related algorithms and methods. Topics covered include Support Vector Machines, Neural Networks, Convolutional Neural Networks (CNN), word embeddings, attention mechanisms, transformers, encoder-decoder architectures, Generative Adversial Networks (GAN), and Reinforcement Learning. Practical applications will demonstrate how to prepare, train, test, and validate models. Lecturers are the primary instructors for courses and an invaluable component of the faculty community. Responsibilities Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions. Monitor and address student concerns and inquiries. Evaluate and grade student work and assessments. Conduct office hours. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting. Requirements • Doctorate degree in Computer Science, Data Science, or a related field., • Proficient in Python and familiar with deep learning frameworks (e.g., TensorFlow, PyTorch)., • Deep Learning Knowledge: Strong understanding of CNNs, RNNs, LLMs, Reinforcement Learning, and model evaluation techniques., • Hands-on experience with deep learning projects and data manipulation. Preferred Skills & Experience 10+ years of related professional experience. 2+ years of University teaching experience, ideally at the graduate level. Strong verbal and written skills for explaining concepts clearly. Additional Information Salary range: $11,000 - $13,000 per semester long course Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity Employer / Disability / Veteran

Job DescriptionAbout CookUnity: Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. About the Role We're hiring for an experienced ML-focused Data Scientist to own growth-oriented modeling across the customer lifecycle - acquisition, activation, retention, resurrection and monetization. You'll work alongside other data scientist to design, validate, and productionize statistical and ML systems (pLTV, churn/survival, uplift/incrementality, lookalikes, clustering/embeddings, NBA/ranking) that directly drive growth. This is a hands-on role for someone with strong mathematical/statistical foundations, broad modeling experience, and pragmatic MLOps chops who can lead experiments and partner closely with Marketing, Engineering, CRM, and Product. What you'll do… • Lifecycle modeling: Build and maintain predictive LTV, churn (including survival/time-to-event), order-rate, and resurrection models that feed acquisition, CRM, and retention strategies., • Acquisition & lookalikes: Create lookalike / propensity models for paid channels and audience construction; optimize CAC vs LTV tradeoffs., • Next-Best-Action & personalization: Develop NBA/ranking models, small-scale recommenders and embedding-based similarity systems to increase activation and orders., • Unsupervised & representation learning: Lead segmentation, clustering, embeddings and representation work that create actionable cohorts and features., • Production & MLOps: Own the full model lifecycle - training pipelines, CI/CD, model registries, containerized deployment, monitoring, retraining and drift detection; partner with engineers to operationalize models into CRM, marketplace and paid channels., • Model governance & reproducibility: Ensure models are well-tested, explainable, calibrated, and auditable; document assumptions, limitations and business mappings., • Cross-functional influence: Translate technical work into product recommendations, dashboards and clear narratives for Growth, Marketing and Engineering. Mentor peers and raise modeling and MLOps standards.Required qualifications, • 5-8+ years in data science, applied ML or statistics, with a track record of shipping production models., • Strong math & statistics: probability, inference, regression, survival analysis/time-to-event, causal reasoning, and familiarity with statistical modeling tradeoffs., • End-to-end ML experience: experience building, validating and deploying classification/regression/ensemble/deep models; comfort with embeddings and representation learning., • MLOps & production skills: pragmatic experience with model CI/CD, model registries (MLFlow or similar), containerization (Docker), orchestration (Airflow), and runtime infra (K8s / ECS)., • Software engineering & tooling: Python (pandas, scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow optional), strong code hygiene, testing and reproducibility., • Product & stakeholder collaboration: excellent communication, ability to embed with Growth/CRM/Marketing and translate models into product decisions., • Education: BS in a quantitative field required; MS/PhD in statistics, math, CS, economics or similar preferred.Nice-to-haves, • Experience in subscription marketplaces, food-tech, or consumer marketplaces., • Familiarity with feature stores, Snowflake/BigQuery, and production monitoring tools., • Experience with causal libraries (EconML), uplift frameworks, or survival modeling packages., • Prior work on small-scale recommender systems, embeddings, or NLP personalization. Learn More About CookUnity We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we're looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale. We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect! Benefits 🩺 Health Insurance coverage 🌅 401k Plan ⛱ Unlimited PTO 🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical 🐣 Paid Family leave 🕯 Compassionate Leave: 3-5 days each time the need arises 🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly 🧘🏽️‍♀️ Wellness perks: access to a nutritional coach and fitness subsidies to build a healthy lifestyle 👩🏾️‍🏫 Personalized Spanish coach 🌟 Awesome opportunity to join a company that is looking to change how we eat and how chefs work! Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.Pay Range for this position$160,000—$185,000 USD If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability. A quick note for all candidates We've recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously — sometimes, as part of our process, we may ask for a brief "proof of humanity" to confirm that we're connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us: • Apply only through our official channels. All open roles are listed on our official careers page: careers.cookunity.com, • Our recruiters are real people — and easy to verify. You can always find them on LinkedIn with verified profiles. If you're unsure, feel free to reach out to us on our official LinkedIn Company Page., • We only communicate through official CookUnity channels. That means emails ending in @cookunity.com and interviews held through official company platforms (Google Meet or Zoom) — never WhatsApp, Telegram, or SMS., • We'll never ask for payment or personal financial details. If anyone does, please don't share any information and let us know right away. If something ever feels off or you're unsure about a message, we'd much rather you double-check with us. You can always contact us directly through any of our social media channels. We appreciate your interest in joining CookUnity — and we care about keeping your experience (and safety) as genuine as possible.

Job Description Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales — from molecules to organisms — enabling us to predict, understand, and program living systems in ways never before possible. Output Biosciences is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI and biology, and backed by top VCs including Y Combinator. As a Machine Learning Research Scientist, Interpretability, you'll work alongside our founders and team members to develop AI systems capable of processing and reasoning across multiple biological data modalities simultaneously. You will develop specialized methods for understanding our biological reasoning models, reverse-engineering how they represent and process complex biological information. You will design and conduct experiments to uncover interpretable features across biological scales. You will address unique challenges in biological model interpretation, such as disentangling the multi-scale, hierarchical representations of biological systems You will build biology-specific visualization tools that can map model activations to meaningful biological concepts. Who We're Looking For: You have a Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Physics, or a relevant technical field. You have a PhD with 2 years of research experience, or a Bachelor's degree with 4+ years of research or industry experience in Deep Learning, Artificial Intelligence, or other relevant fields. You have a strong publication record in top-tier AI conferences or journals (e.g., NeurIPS, ICML, ICLR). You are proficient in Python and have expertise in at least one major deep learning framework (PyTorch, TensorFlow, or JAX). Who You Are: You have excellent problem-solving skills and the ability to quickly adapt to new challenges. You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and taking pride in solving them. You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty. You have excellent communication skills and can clearly articulate complex technical concepts. You are motivated by making a real impact and are committed to tackling problems of significant consequence with determination and creativity. Bonus points: You have experience applying machine learning to biological or chemical problems. You have knowledge of physics, molecular biology, chemistry, computational biology, bioinformatics, cheminformatics, or related fields. You have experience with multi-modal learning. You have contributed to open-source machine learning projects/ You have experience in developing efficient code in C/C++. Our Values ❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions. 🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards. 🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community. 📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner. 🎮 Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling. What We Offer We encourage new and different ideas, creativity and contrarian thinking Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you You own your day-to-day management. What we care about is that we all hit our milestones Competitive salary and equity in a growing, well-funded startup Excellent medical, dental, and vision coverage Compensation Range: $120K - $250K

Job DescriptionCareer Renew is recruiting for one of its clients a Staff Backend Engineer - AI - this is an onsite role in NYC. Salary range: 200-250K USD yearly plus benefits plus equity. We build autonomous manufacturing systems powered by AI and robotics to solve America's manufacturing workforce crisis. We're creating the intelligence layer that lets machines run autonomously so manufacturers can scale production without scaling headcount. You'll join a small in-person team in NYC with deep experience from defense tech and AI who've already shipped products to DoD customers. This is your chance to build the future of American manufacturing at the intersection of ML robotics and distributed systems. As Staff ML Backend Engineer you'll own the entire data pipeline for robotics sensor data and build foundational ML infrastructure. You'll make key technical decisions around storage processing and analytics while functioning as a research engineer to keep ML team iteration cycles fast. This Staff Backend Engineer will build the foundational infrastructure for our machine learning pipelines, focusing on creating robust, scalable backend systems for advanced robotics. The role involves owning the data collection and storage pipeline for robotics sensor data, making key technical decisions, and functioning as a research engineer for the ML team to accelerate their iteration cycles. This is a generalist software engineering role focused on the backend, particularly on building production systems for large-scale data and data pipelines, rather than internal tooling. Tech stack Python, Rust, C++, Distributed Systems, Data Pipelines, PyTorch, TensorFlow, Time-series Databases, GPU Requirements: 7+ years of experience in backend engineering building production data pipelines in Python, Rust, or C++ (Mandatory) Built production data pipelines for large-scale sensor/video data. (Mandatory) Experience with distributed systems handling low-latency, high-throughput data flows (Mandatory) Experience in latency-sensitive environments (e.g. trading systems, real-time industrial/robotics systems) (Nice-to-have) BS/MS in Computer Science or a related technical field. (Mandatory) Strong proficiency in Python, Rust, or C++ for backend / systems development (Mandatory) Experience with time-series or streaming data systems (e.g. sensor data pipelines, event streams) (Mandatory) Familiarity with ML infrastructure or supporting ML pipelines in production (not just model training) (Nice-to-have)

Job DescriptionCareer Renew is recruiting for one of its clients an Applied ML Engineer - this is a hybrid role in Arlington, VA or Boston, SF Bay Area or NY. This role will require a security clearance. Salary range:190-250K USD yearly plus benefits plus equity. We are seeking a versatile and pragmatic Applied ML Engineer to contribute across a broad range of machine learning and perception tasks that power our edge-intelligent maritime systems. This role requires someone comfortable wearing many hats—from working with computer vision and sensor fusion models to building lightweight inference pipelines, designing experiments, and fine-tuning model behavior in production. You’ll work closely with a cross-functional team spanning hardware, software, and product to deliver real-world AI solutions that are robust, efficient, and reliable under challenging field conditions. This is an ideal position for someone who thrives on variety, rapidly shifting problem domains, and turning rough ideas into deployed systems. Key Responsibilities: Design, train, and evaluate models for tasks ranging from object detection and classification to anomaly detection and sensor-based inference. Optimize model architectures and inference pipelines for performance on embedded/edge hardware under compute and bandwidth constraints. Contribute to dataset development and labeling strategy, including data augmentation, synthetic data generation, and domain adaptation. Support prototyping and experimentation across a variety of AI subfields, including computer vision, signal processing, and multi-modal fusion. Implement real-time pipelines for processing sensor data on-device and in cloud environments. Develop tools and scripts for benchmarking, data visualization, and debugging ML model performance. Stay current with the latest research and tools in machine learning and evaluate their applicability to our product roadmap. Participate in code reviews, team knowledge sharing, and internal technical documentation. Must be eligible to obtain/maintain a security clearance. Qualifications (Preferred): Master’s or PhD in Computer Vision, Machine Learning, Robotics, or related field. Bachelors candidates considered on a case by case basis. 4+ years of experience building and deploying machine learning models in production environments. Proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow. Comfortable working with a range of data types (images, time-series, geospatial, RF, etc.). Experience with edge or embedded ML deployments, including model compression and hardware-aware optimization. Familiarity with common ML practices including cross-validation, hyperparameter tuning, and model monitoring. Excellent debugging, experimentation, and problem-solving skills. Strong collaboration and communication skills with both technical and non-technical team members. Bonus: experience in maritime, aerospace, or other remote sensing domains.

Job DescriptionAbout Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.Salary Range: US$ 140,000-170,000/year Note: We are not considering OTP STEM visas neither H1B support for this roleRole Overview We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You’ll work across the ML lifecycle—from problem framing and data exploration to model development, evaluation, deployment, and monitoring—often in partnership with client stakeholders and internal delivery teams. You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. Key Responsibilities • Problem Framing & Stakeholder Partnership, • Translate business questions into ML problem statements (classification, regression, time series forecasting, clustering, anomaly detection, recommendation, etc.)., • Collaborate with stakeholders to define success metrics, evaluation plans, and practical constraints (latency, interpretability, cost, data availability)., • Data Analysis & Feature Engineering, • Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses., • Perform data profiling, missingness analysis, leakage checks, and exploratory analysis to guide modeling choices., • Build robust feature pipelines (aggregation, encoding, scaling, embeddings where appropriate) and document assumptions., • Model Development (Core ML), • Train and tune supervised learning models for tabular data (e.g., logistic/linear models, tree-based methods, gradient boosting such as XGBoost/LightGBM/CatBoost, and neural nets for structured data)., • Apply strong tabular modeling practices: handling missing data, categorical encoding, leakage prevention, class imbalance strategies, calibration, and robust cross-validation., • Build time series models (statistical and ML/DL approaches) and validate with proper backtesting., • Apply clustering and segmentation techniques (k-means, hierarchical, DBSCAN, Gaussian mixtures) and evaluate stability and usefulness., • Apply statistics in practice (hypothesis testing, confidence intervals, sampling, experiment design) to support inference and decision-making., • Deep Learning, • Build and train deep learning models using PyTorch or TensorFlow/Keras., • Use best practices for training (regularization, calibration, class imbalance handling, reproducibility, sound train/val/test design)., • Evaluation, Explainability, and Iteration, • Choose appropriate metrics (AUC/F1/PR, RMSE/MAE/MAPE, calibration, lift, and business KPIs) and create evaluation reports., • Perform error analysis and interpretation (feature importance/SHAP, cohort slicing) and iterate based on evidence., • Productionization & MLOps (Project-Dependent), • Package models for deployment (batch scoring pipelines or real-time APIs) and collaborate with engineers on integration., • Implement practical MLOps: versioning, reproducible training, automated evaluation, monitoring for drift/performance, and retraining plans., • Documentation & Communication, • Communicate tradeoffs and recommendations clearly to technical and non-technical stakeholders., • Create documentation and lightweight demos that make results actionable.Success in This Role Looks Like, • You deliver models that perform well and move business metrics (revenue lift, cost reduction, risk reduction, improved forecast accuracy, operational efficiency)., • Your work is reproducible and production-aware: clear data lineage, robust evaluation, and a credible path to deployment/monitoring., • Stakeholders trust your judgment in selecting methods and communicating uncertainty honestly.Required Qualifications, • 3–8 years of experience in data science, machine learning engineering, or applied ML (mid-to-senior)., • Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent)., • Strong SQL skills (joins, window functions, aggregation, performance awareness)., • Solid foundation in statistics (hypothesis testing, uncertainty, bias/variance, sampling) and practical experimentation mindset., • Hands-on experience across multiple model types, including:, • Classification & regression, • Time series forecasting, • Clustering/segmentation, • Experience with deep learning in PyTorch or TensorFlow/Keras., • Strong problem-solving skills: ability to work with ambiguous goals and messy data., • Clear communication skills and ability to translate analysis into decisions.Preferred Qualifications, • Experience with Databricks for applied ML (e.g., Spark, Delta Lake, MLflow, Databricks Jobs/Workflows)., • Experience deploying models to production (APIs, batch pipelines) and maintaining them over time (monitoring, retraining)., • Experience with orchestration tools (Airflow, Prefect, Dagster) and modern data stacks (Snowflake/BigQuery/Redshift/Databricks)., • Experience with cloud platforms (AWS/GCP/Azure/IBM) and containerization (Docker)., • Experience with responsible AI and governance best practices (privacy/PII handling, auditability, access controls)., • Consulting or client-facing delivery experience. Certifications (Strong Plus) Candidates with at least one relevant certification are especially encouraged to apply: • Cloud certifications: AWS, Google Cloud, Microsoft Azure, or IBM (data/AI/ML tracks), • Databricks certifications (Data Scientist, Data Engineer, or related)Nice-to-Have, • Causal inference experience (e.g., quasi-experimental methods, propensity scores, uplift/heterogeneous treatment effects, experimentation beyond A/B tests)., • Agentic development experience: designing and evaluating agentic workflows (tool use, planning, memory/state, guardrails) and integrating them into products., • Deep familiarity with agentic coding tools and workflows for accelerated product development (e.g., AI-assisted IDEs, code agents, automated testing/refactoring, repo-aware assistants), including strong judgment on quality, security, and maintainability.Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation., • Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT). Powered by JazzHR pYO5KHk85I

Job DescriptionAbout CookUnity: Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. The role: We're looking for a Senior Manager, Data Science/ML who will drive CookUnity's next phase of product innovation through forward-looking data science capabilities. This role goes beyond traditional analytics—you'll be responsible for building the ML and experimentation foundation that enables personalized, intelligent product experiences at scale. As Senior Manager, you'll own the strategic vision for how data science shapes our product roadmap. You'll build and lead a team focused on predictive modeling, personalization, experimentation frameworks, and emerging ML capabilities that directly impact customer engagement, retention, and lifetime value. This is a high-impact role for someone who thinks strategically about the future of product science while remaining hands-on in driving technical execution. Responsibilities:Strategic Vision & Product Partnership • Define and execute the product data science strategy, identifying opportunities where ML and predictive analytics can unlock step-change improvements in customer experience and business outcomes, • Partner closely with Product, Growth, Engineering, and UX leadership to influence product roadmap with data-driven insights and forward-looking ML capabilities, • Act as a thought leader on emerging data science techniques (personalization, recommendation systems, causal inference, generative AI) and their application to product problems, • Translate complex product challenges into clear data science problems with measurable success criteria, • Own the end-to-end ML lifecycle for product use cases: problem framing, feature development, model training, deployment, monitoring, and iteration, • Partner with the Growth Data Science & Analytics team to align experimentation, measurement, and modeling efforts into a cohesive end-to-end data science ecosystem.Team Leadership & Development, • Build, mentor, and scale a high-performing product data science team capable of delivering both strategic insights and production ML systems, • Foster a culture of innovation, experimentation, and continuous learning within the data science organization, • Create career development pathways that attract and retain top data science talent, • Collaborate with Analytics Engineering to ensure seamless model deployment and monitoringAdvanced Analytics & ML Capabilities, • Own and evolve personalization and recommendation systems that drive engagement and conversion across the customer journey, • Design and implement robust experimentation frameworks that enable rapid, high-quality product testing and learning, • Develop causal inference methodologies to understand true incrementality of product changes., • Ensure models are observable, explainable where needed, and continuously improved post-launchProduct Measurement & Impact, • Define product success metrics and measurement frameworks that align with business objectives, • Build scalable dashboards and monitoring systems that provide real-time visibility into product performance, • Conduct deep-dive analyses on user behavior patterns to uncover opportunities for product optimizationQualifications:, • 8+ years of experience in data science, with at least 3 years in leadership roles managing data scientists or ML engineers, • Proven track record building and deploying ML models in production, particularly in personalization, recommendation systems, or predictive modeling, • Deep expertise in experimentation and causal inference, including A/B testing, incrementality measurement, and statistical rigor, • Strong product sense and business acumen—ability to identify high-impact opportunities and translate them into data science initiatives, • Experience in consumer tech, e-commerce, or marketplace businesses where personalization and user engagement are critical, • Excellent communication skills—ability to explain complex technical concepts to non-technical stakeholders and influence product strategy, • Hands-on technical proficiency in Python, SQL, and modern ML frameworks (scikit-learn, PyTorch, TensorFlow), • Experience with cloud-based data infrastructure (AWS, GCP, Snowflake) and ML Ops tools (MLflow, Airflow, Kubeflow)Preferred requirements:, • PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field, • Experience with real-time ML systems and feature stores, • Background in recommendation systems or two-tower/multi-modal embeddings, • Familiarity with generative AI and LLM applications in product contexts, • Experience building data science teams from scratch or through periods of rapid growth, • Prior work in subscription businesses or retention-focused products, • Knowledge of modern product analytics tools (Amplitude, MixPanel, Looker)What Success Looks Like, • 6 months: Established product data science roadmap aligned with business priorities; shipped at least one high-impact ML model to production; built strong partnerships with Product and Engineering leadership, • 12 months: Scaled the product data science function with key hires; delivered measurable improvements in personalization and customer engagement metrics; implemented robust experimentation frameworks used across product teamsLearn More About CookUnity We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we're looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale. We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect! Benefits 🩺 Health Insurance coverage 🌅 401k Plan 📈 We grow, you grow: Stock Options Plan granted on Day 1 🌟 Eligible for a bi-annual performance bonus ⛱ Unlimited PTO 🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical 🐣 Paid Family leave 🕯 Compassionate Leave: 3-5 days each time the need arises 🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly 🧘🏽️‍♀️ Wellness perks: access to fitness subsidies to build a healthy lifestyle 👩🏾️‍🏫 Personalized Spanish coach 🚀 Awesome opportunity to join a company that is looking to change how we eat and how chefs work! Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.Pay Range for this position$225,000—$240,000 USD If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability. A quick note for all candidates We've recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously — sometimes, as part of our process, we may ask for a brief "proof of humanity" to confirm that we're connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us: • Apply only through our official channels. All open roles are listed on our official careers page: careers.cookunity.com, • Our recruiters are real people — and easy to verify. You can always find them on LinkedIn with verified profiles. If you're unsure, feel free to reach out to us on our official LinkedIn Company Page., • We only communicate through official CookUnity channels. That means emails ending in @cookunity.com and interviews held through official company platforms (Google Meet or Zoom) — never WhatsApp, Telegram, or SMS., • We'll never ask for payment or personal financial details. If anyone does, please don't share any information and let us know right away. If something ever feels off or you're unsure about a message, we'd much rather you double-check with us. You can always contact us directly through any of our social media channels. We appreciate your interest in joining CookUnity — and we care about keeping your experience (and safety) as genuine as possible.

Job DescriptionAbout SmartAsset: SmartAsset is an online destination for consumer-focused financial information and advice, whose mission is helping people make smart financial decisions, reaching over an estimated 59 million people each month (as of January 2025) through our educational content and personalized calculators and tools. To extend our mission, we also operate SmartAsset Advisor Marketing Platform (AMP), which helps connect consumers with fiduciary financial advisors.SmartAsset has earned recognition on the Inc. 5000 (#2574 in 2023) and Deloitte Technology Fast 500™ (#250 in 2022) lists. Currently, SmartAsset ranks on Y Combinator's list of Top 100 Companies. A successful $110 million Series D funding round in 2021 valued the company at over $1 billion. *Other than application and licensing fees, SmartAsset did not provide compensation for the aforementioned awards. About the team: The Machine Learning Engineering team designs, builds, and integrates the core platform that unlocks cutting-edge capabilities for financial advisors, including features driven by generative AI. Our engineers are relentlessly evolving this platform, empowering groundbreaking applications and features that truly help financial professionals better connect with their clients and grow their businesses. About the Job: We are seeking a highly motivated and experienced Machine Learning Engineer to join our growing team. In this role, you will be instrumental in crafting and scaling foundational backend systems across predictive systems and generative AI. You will work across the entire software development lifecycle, from architectural design to deployment and ongoing operations, contributing significantly to our core infrastructure and data strategies, and working hand-in-hand with cross-functional partners like LLM Engineers, Product Owners, and Data Scientists to bring our vision to life. Responsibilities: • Design, develop, and maintain high-performance, scalable, and secure backend services, primarily using Python and frameworks like FastAPI, • Translate ambiguous business and technical requirements into concrete software designs and actionable tasks for cross-functional teams, • Work with OLTP databases, including schema design, migration strategies, and performance optimization, • Integrate SmartAsset services with internal and external APIs, including third-party platforms and existing AWS infrastructure, • Ensure secure ingress and egress of data within our private network environments, • Contribute to the design and implementation of our CI/CD pipelines to ensure continual improvements to our cycle time, • Manage and optimize AWS services, including IAM roles and policies, • Gain a deep understanding of how our Python applications integrate with our Kubernetes (EKS) and future ECS-based infrastructure, • Operate and maintain production applications at scale, ensuring high availability, performance, and reliability, • Design and implement data collection pipelines specifically for Large Language Models (LLMs), • Contributed to shared data architecture and data governance practices to ensure the persistence of structured data suitable for analytics and model training, • Explore, integrate, and tune various LLM-related technologies, such as Retrieval Augmented Generation (RAG) systems, and addressing potential scaling challenges, • Investigate and implement agentic technologies, such as tool calling frameworks (e.g., AutoGen), to enhance LLM capabilities, • Rapidly prototype user interfaces for internal tools and data exploration, leveraging frameworks like Streamlit, Gradio, or other similar tools that facilitate quick iteration and integration without persistent websockets Skills/Experience you have: • Proven experience as a ML Engineer with a strong focus on Python development, • Experience with cloud platforms, specifically AWS, including IAM, EKS/ECS, and other core services, • Strong expertise with OLTP/relational databases such as Aurora, Postgres, MySQL etc, • Experience with DevOps toolsets such as Terraform, Open-Telemetry, etc. will be a big plus, • Strong experience in developing and maintaining large-scale, production-grade applications, • Experience in writing clean, maintainable, and testable code following best practices and industry standards, • Experience building integrations with internal and external service providers, • At least 5 years of relevant working experience., • Bachelor's or Master's degree in Computer Science or a related field Skills/Experience preferred: • Excellent communication skills, both written and verbal, • Experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, etc., • Experience with LLMs, RAG, embedding vector databases, or agentic technologies., • Familiarity with productionizing apps built with prototyping frameworks such as Streamlit or Gradio, • Knowledge of data governance and structured data principles, • Experience with Feature Stores or ELT processes Physical Requirements: • Prolonged periods of sitting at a desk and working on a computer, • Must be able to communicate via phone calls and/or video conferences (mainly for concierge and sales roles) Available Benefits and Perks:, • All roles at SmartAsset are currently and will remain remote - flexibility to work from anywhere in the Contiguous US., • Medical, Dental, Vision - multiple packages available based on your individualized needs, • Life/AD&D Insurance - basic coverage at 100% company paid, additional supplemental available, • Supplemental Short-term and Long-term Disability, • FSA: Medical and Dependant Care, • 401K, • Equity packages for each role, • Time Off: Vacation, Sick and Parental Leave, • EAP (Employee Assistance Program), • Financial Literacy Mentoring Program, • Pet Insurance, • Home Office Stipend SmartAsset is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at Recruiting@smartasset.com. California, Colorado, Connecticut, Maryland, Nevada, Rhode Island, Washington, and New York City residents $137,000 - $180,000 + RSUs + benefits. Salary at SmartAsset is determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the contiguous United States.

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: AI/ML (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What Youll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job DescriptionCompany Description For More Open Positions Visit us at: http://recruiting.woongjininc.com/ Our Mission WOONGJIN, Inc. is a rapidly growing team who provides a range of unique, exceptional, and enhanced services to our clients. We have a strong moral code that includes the service of goodness without expectations of reward. We are motivated by the sense of responsibility and servant leadership. Benefits • Medical Insurance, • Vision Insurance, • Dental Insurance, • 401(k), • Paid Sick hoursJob Description, • Design and develop algorithms for generative models using deep learning techniques, • Design and build LLM-powered applications for internal and/or customer-facing use cases, • Develop and productionize RAG pipelines using enterprise data sources, vector databases, and retrieval systems, • Build and optimize AI agents / agentic workflows for task automation, reasoning, and orchestration, • Integrate model providers such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source models where appropriate, • Create robust evaluation frameworks for response quality, factuality, latency, safety, and reliability, • Implement prompt engineering, structured outputs, tool calling, and model optimization strategies, • Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices, • Build monitoring, observability, and feedback loops for model and application performance in production, • Establish and maintain guardrails, responsible AI practices, and security controls for enterprise AI systems, • Collaborate with product managers, designers, and business stakeholders to identify high-impact AI opportunities, • Mentor other engineers and contribute to architecture, technical direction, and engineering best practicesQualifications Required Qualifications • Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field, • 5+ years of software engineering, machine/deep learning engineering, or applied AI experience, • 2+ years of hands-on experience building and deploying Generative AI / LLM-based systems in production, • Strong programming skills in Python and experience with backend/API development, • Experience with LLM application development, including prompt engineering, RAG, tool use, and structured output design, • Experience in optimizing RAG pipelines using both structured and unstructured data, • Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent, • Experience in generative AI techniques such as GANs, and VAEs, • Hands-on experience with vector databases / retrieval systems such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search, • Experience with cloud platforms such as AWS, GCP, or Azure, • Experience with Docker, Kubernetes, CI/CD, and production deployment practices, • Strong understanding of software architecture, scalability, reliability, and distributed systems, • Experience building evaluation, testing, and monitoring for AI systems, • Strong communication skills and ability to work closely with technical and non-technical stakeholder Preferred Qualifications • Experience fine-tuning or adapting open-source LLMs, • Advanced knowledge of natural language processing for text generation tasks, • Experience with PyTorch, TensorFlow, JAX, or related ML frameworks, • Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar, • Experience building multi-agent systems or advanced orchestration workflows, • Experience with AI safety, guardrails, red-teaming, privacy, and governance, • Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems, • Experience in customer-facing or enterprise SaaS products, • Experience in semiconductor/manufacturing, retail and e-commerce sectors What Success Looks Like • Deliver production-ready GenAI features that improve user experience and business outcomes, • Build reliable and scalable AI systems with strong quality, latency, and cost performance, • Establish best practices for evaluation, observability, and responsible AI development, • Help define the company’s long-term Generative AI architecture and roadma Additional Information All your information will be kept confidential according to EEO guidelines. * NO C2C *

Job DescriptionCompany Description On-Site 1yr contract $10950/month About the Role We are seeking a Senior Generative AI Engineer to design, build, and deploy production-grade AI applications powered by large language models (LLMs). In this role, you will lead the end-to-end development of Generative AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG) systems, agentic workflows, model evaluation pipelines, and production infrastructure. You will work cross-functionally with product, finance, data, and business stakeholders to translate real-world business problems into scalable AI systems that deliver measurable value. Job Description • Design and develop algorithms for generative models using deep learning techniques, • Design and build LLM-powered applications for internal and/or customer-facing use cases, • Develop and productionize RAG pipelines using enterprise data sources, vector databases, and retrieval systems, • Build and optimize AI agents / agentic workflows for task automation, reasoning, and orchestration, • Integrate model providers such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source models where appropriate, • Create robust evaluation frameworks for response quality, factuality, latency, safety, and reliability, • Implement prompt engineering, structured outputs, tool calling, and model optimization strategies, • Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices, • Build monitoring, observability, and feedback loops for model and application performance in production, • Establish and maintain guardrails, responsible AI practices, and security controls for enterprise AI systems, • Collaborate with product managers, designers, and business stakeholders to identify high-impact AI opportunities, • Mentor other engineers and contribute to architecture, technical direction, and engineering best practices Qualifications • Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field, • 5+ years of software engineering, machine/deep learning engineering, or applied AI experience, • 2+ years of hands-on experience building and deploying Generative AI / LLM-based systems in production, • Strong programming skills in Python and experience with backend/API development, • Experience with LLM application development, including prompt engineering, RAG, tool use, and structured output design, • Experience in optimizing RAG pipelines using both structured and unstructured data, • Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent, • Experience in generative AI techniques such as GANs, and VAEs, • Hands-on experience with vector databases / retrieval systems such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search, • Experience with cloud platforms such as AWS, GCP, or Azure, • Experience with Docker, Kubernetes, CI/CD, and production deployment practices, • Strong understanding of software architecture, scalability, reliability, and distributed systems, • Experience building evaluation, testing, and monitoring for AI systems, • Strong communication skills and ability to work closely with technical and non-technical stakeholder Preferred Qualifications • Experience fine-tuning or adapting open-source LLMs, • Advanced knowledge of natural language processing for text generation tasks, • Experience with PyTorch, TensorFlow, JAX, or related ML frameworks, • Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar, • Experience building multi-agent systems or advanced orchestration workflows, • Experience with AI safety, guardrails, red-teaming, privacy, and governance, • Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems, • Experience in customer-facing or enterprise SaaS products, • Experience in semiconductor/manufacturing, retail and e-commerce sectors Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description COMPANY: Canoe Intelligence WEBSITE: https://canoeintelligence.com/ TITLE: Sr. Machine Learning Engineer LOCATION: New York City or London (hybrid) / Fully Remote in the United States or United Kingdom SALARY: $180,000 - $220,000 (based on NYC, will be adjusted for geo) The Role: We are looking for a Senior Machine Learning Engineer to design and deploy models that make sense of highly complex, unstructured financial documents, enabling us to deliver data with unprecedented accuracy, speed, and trust. You’ll work hands-on with LLM and other ML Models, helping scale Canoe’s platform while shaping how alternative investment firms interact with their data. What You’ll Do: Design, train, and evaluate ML models for document classification, entity extraction, summarization, and information retrieval. Fine-tune and optimize large language models for domain specific use cases, optimizing their performance for accuracy, efficiency, and scalability. Work closely with data engineering teams to preprocess and engineer features from large datasets to enhance the performance of machine learning models. Build scalable, production-ready ML services with strong observability, monitoring, and retraining capabilities. Contribute to Canoe’s MLOps stack, including CI/CD for models, feature stores, evaluation frameworks, and data versioning. Collaborate with product managers, software engineers, and other stakeholders to integrate machine learning models into end-to-end solutions. Stay current with advancements in LLMs, Agentic AI, and ML, and translate new research into practical improvements to Canoe’s technology stack. Conduct code reviews to ensure code quality and provide mentorship to junior members of the machine learning team. What We’re Looking For: Minimum of 5 years of experience in applied ML engineering, with a focus on NLP, information extraction, or LLMs. Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch). Strong understanding of MLOps (Docker, Kubernetes, CI/CD for ML, experiment tracking). Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Claude Code agent) to accelerate software development, prototyping, testing, and deployment of ML solutions. Problem-solver with a product mindset and bias toward outcomes. Excellent communication skills; able to partner across engineering, product, and business teams. Comfortable in fast-paced, agile startup environments. Bachelor’s degree in computer science or related field. Preferred Master Degree or PhD in computer science or related field Experience in training and deploying large language models. Familiarity with cloud computing platforms and distributed computing. Familiarity with modern ML Ops tools such as Modal, Weights and Biases, Sagemaker, etc. Experience with LLM fine-tuning techniques such as LoRA, QLoRA, or parameter-efficient training frameworks (e.g., Unsloth). What You’ll Get: Medical, dental, vision benefits Flexible PTO 401(k) Flexible work from home policy Home office stipend Employee Assistance Program Gym/Wifi reimbursement Education assistance Parental Leave Our Values: Client First —> Listen, and deliver client-centric solutions Be An Owner —> Take initiative, improve situations, drive positive outcomes Excellence —> Always set the highest standard for yourself and others Win Together —> 1 + 1 = 3 Who We Are: Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe’s technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe’s AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm. Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Job Description About impact.com impact.com is the world's leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L'Oréal, and Fanatics - rely on impact.com to power more than 350,000 partnerships that deliver measurable business results. Your Role at impact.com: We're seeking a Data Scientist to help build the next generation of recommendation systems powering our partnership automation platform. Our ecosystem connects a rich set of entities—advertisers, media publishers, creators, products, and consumers—and the relationships between them are where the real value lives. Your work will help surface the right partnerships, the right products, and the right content across this network at scale. You'll contribute to evolving our recommender stack toward a graph-based architecture leveraging semantic embeddings of entities and their relationships, applying cutting-edge techniques in representation learning, graph ML, and retrieval. The system needs to serve recommendations both in batch and real time, respond to dynamic user inputs, drive measurable value for end users across the platform, and remain reliable as the ecosystem grows. This role is hands-on and end-to-end. You'll own modeling and experimentation work for a defined area of the recommendation stack—from problem framing through productionization—in close partnership with Engineering, Product, MLOps, and Business Stakeholders. You're expected to bring (or actively develop) ML engineering chops so you can take a solution from prototype to production, and to be a relentless user of AI coding agents to multiply your output and accelerate iteration. What You'll Do: Core Responsibilities Multi-entity recommendations across the partnership graph Design, build, and evaluate recommendation models that operate across heterogeneous entities—advertisers, publishers, creators, products, and consumers—and the relationships between them. Frame problems in terms of the partnership graph and apply techniques appropriate to each surface, including candidate generation, ranking, reranking, and personalization. Graph-based modeling & semantic embeddings Contribute to evolving our architecture toward graph-based approaches: learn semantic embeddings of entities and relationships, apply graph neural networks or attention aware graph transformer models where they add value, and build representations that generalize across surfaces and use cases. Stay current with cutting-edge techniques in graph ML, representation learning, and modern recommender architectures, and bring relevant ideas into the platform. Batch and real-time serving Build models and pipelines that serve recommendations in both batch and real-time contexts. Partner with Engineering on retrieval infrastructure, vector search, feature stores, and low-latency serving patterns. Make pragmatic tradeoffs between model sophistication, latency, cost, and freshness based on the surface and use case. End-to-end ML delivery & ML engineering Own the full lifecycle of your work: data and feature design, model development, evaluation, launch, monitoring, and iteration. Build production-grade pipelines, write code that other engineers can extend, and partner with MLOps on reproducibility, observability, and reliability. Use AI coding agents aggressively to accelerate prototyping, refactoring, debugging, and shipping—we expect this to be a core part of how you work, not an occasional aid. Experimentation & measurement Design offline evaluation (offline replay, counterfactual evaluation, holdout sets) and online experiments (A/B tests, holdouts, interleaving) to quantify model impact. Apply appropriate statistical methods, recognize common pitfalls in recommender evaluation (position bias, feedback loops, selection effects), and translate results into clear recommendations for product and engineering partners. Cross-functional collaboration Work closely with Product, Engineering, and Business Stakeholders to translate platform goals into measurable model outcomes. Communicate findings, tradeoffs, and recommendations clearly to both technical and non-technical audiences. Document your work so that models, features, and decisions are understandable and reproducible by others. What You Bring: • 3+ years of experience in data science / applied ML, with a track record of shipping production models that delivered measurable user or business impact., • Strong Python and SQL skills; experience working with large-scale data and distributed compute (Spark/Databricks or equivalent)., • Hands-on experience building recommendation or ranking systems—candidate generation, learning-to-rank, retrieval and reranking, or implicit feedback modeling., • Experience with embeddings and representation learning for users, items, content, or other entities., • ML engineering capability (or strong willingness and demonstrated ability to develop it): you can build, ship, and maintain production pipelines—not just prototypes in notebooks., • Strong experimentation skills: designing and analyzing A/B tests, interpreting results, and communicating findings to stakeholders., • Relentless user of AI coding agents in your day-to-day workflow, with a clear sense of where they accelerate you and where they don't., • Insatiable curiosity about new techniques, architectures, and tools—and a track record of teaching yourself things quickly. You read papers, try new tools, and bring ideas back to the team., • Strong problem-solving instincts and the ability to operate with growing autonomy in ambiguous, evolving spaces.Preferred / Nice to have, • Experience with graph-based ML: graph neural networks (KGAT, transformers or similar), graph-aware retrieval, or knowledge graph embeddings., • Experience with modern deep learning recommender architectures (two-tower, sequence/transformer-based recommenders, multi-task ranking)., • Familiarity with vector search and vector databases (FAISS, ScaNN, Vespa, Milvus, or similar) and approximate nearest neighbor methods., • Experience with real-time ML serving, feature stores (Feast, Tecton, or equivalent), and low-latency inference patterns., • Exposure to contextual bandits, reinforcement learning, or off-policy evaluation in recommendation settings., • Familiarity with PyTorch/TensorFlow and PyTorch Geometric / DGL for graph workloads., • Familiarity with GCP (Vertex AI, BigQuery, Cloud Run) and/or mature MLOps practices (CI/CD for ML, monitoring, drift detection)., • Experience in adtech, martech, e-commerce, or two-sided/multi-sided marketplace recommendations.What Sets You Apart, • You think in terms of user and business outcomes, not just model metrics, and you connect modeling choices to real value delivered through the platform., • You're rigorous about measurement but pragmatic about shipping—able to deliver MVPs and iteratively evolve them into durable production systems., • You're a relentless learner. New papers, new tools, new architectures—you find them, try them, and figure out where they fit. You don't wait to be told what to learn., • You use AI coding agents like a power user: they're a force multiplier in your hands, not a crutch., • You have engineering instincts—you care about code quality, system design, and operability, not just model performance., • You're comfortable with messy data, noisy feedback, edge cases, and ambiguous problem spaces, and you excel at iterative improvement., • You bring clarity to ambiguity, communicate clearly across functions, and help teams align on tradeoffs. Salary Range: $100,000 - $125,000 per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant. *This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Benefits and Perks: At impact.com, we believe that when you're happy and fulfilled, you do your best work. That's why we've built a benefits package that supports your well-being, growth, and work-life balance. • Medical, Dental, and Vision insurance, • Office-only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled, • Flexible spending accounts and 401(k), • Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life., • Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health., • A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval., • Investing in Your Growth: We're committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses., • Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver., • Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. impact.com is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors. #LI_NewYork

Job Description About Synaptrix Labs Inc. Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. We believe that the power to diagnose and treat neurological conditions safely, and to expand human potential, will become a reality with the right fusion of deep learning, signal processing, and computational neuroscience. We're seeking passionate, creative, and technically driven interns to join our team across multiple disciplines: Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX Design. If you're excited about building the future of brain-computer interfaces and want to work at the intersection of neuroscience, AI, and human experience, we want to hear from you. Responsibilities: Depending on your background and interests, you may: • Contribute to development of real-time software systems for neural signal processing and data visualization., • Build and prototype non-invasive EEG-based BCI hardware, from electrode arrays to embedded microcontroller systems., • Design, train, and evaluate machine learning models for EEG/EMG decoding, denoising, and signal enhancement., • Develop intuitive interfaces and user experiences for individuals with mobility or communication impairments., • Collaborate with the design team to prototype wearable and ergonomic form factors for next-generation neurotech devices., • Support data collection and analysis in research sessions, assisting with experimental setup and instrumentation., • Participate in cross-functional design reviews and brainstorming sessions that bring together neuroscience, AI, and engineering., • Contribute to internal documentation, test plans, and experimental logs for ongoing R&D projects. Minimum Qualifications: • Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering, Biomedical Engineering, Neuroscience, Mechanical/Industrial Design, or a related field., • Demonstrated experience with one or more of the following:, • Software: Python, C++, or JavaScript, • Machine Learning: PyTorch, TensorFlow, or JAX, • Hardware: Arduino, PCB design, or embedded systems, • Design: Figma, Fusion 360, SolidWorks, or similar tools, • Strong problem-solving ability and curiosity about neuroscience, AI, or human-machine interfaces., • Excellent communication and teamwork skills; thrives in a fast-paced, interdisciplinary environment., • Availability for an internship in New York City. Preferred Qualifications: • Prior experience with EEG/EMG systems, biosignal acquisition, or data analysis., • Familiarity with deep learning for time-series or multimodal data., • Experience designing assistive devices, wearables, or medical technology., • Portfolio, GitHub, or research projects demonstrating creative technical work., • Interest in startups, prototyping, and early-stage innovation. About our Culture: At Synaptrix Labs, we celebrate curiosity, open collaboration, and scientific rigor. Our interdisciplinary team spans neuroscience, AI, and clinical research, and we are united by the belief that non-invasive BCI is the key to unlocking a new era in healthcare, accessibility, and human augmentation. As an intern, you'll work directly alongside engineers, researchers, and designers who are defining the next generation of brain-computer interfaces. You'll be encouraged to explore bold ideas, experiment freely, and take ownership of meaningful projects from day one. What We Offer: • Hands-on experience in one of the world's most exciting emerging fields: brain-computer interfaces, • Opportunity to contribute to technology that directly improves lives, • Mentorship from scientists, engineers, and founders building real neurotechnology products, • Dynamic NYC workspace blending lab, workshop, and creative studio environments, • Potential for full-time conversion after graduation

Job Description Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales — from molecules to organisms — enabling us to predict, understand, and program living systems in ways never before possible. Output Biosciences is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI and biology, and backed by top VCs including Y Combinator. As a Generative AI Research Scientist, you'll work alongside our founders and team members to develop advanced generative models that can synthesize and design biological systems at multiple scales. Building upon our biological reasoning model, you'll focus on creating the generative capabilities that turn insights into innovations. ⁠You will design and develop cutting-edge generative models specifically for biological data, creating AI systems that can generate novel molecular structures, protein designs, cellular components, and biological pathways. You will design and implement state-of-the-art generative algorithms including diffusion models, language diffusion models, diffusion transformers, and flow matching approaches and tailor them to biological constraints and properties You will train and scale innovative AI models using large, diverse biological multi-modal datasets across distributed GPU clusters. You will solve challenging AI research problems at scale, tackling key aspects such as model architecture and scaling, pre-training and fine-tuning strategies, and rigorous evaluation methods. Your work will span various advanced generative AI architectures, including transformers, diffusion models, and autoencoders, exploring and implementing these techniques to push the boundaries of biological AI. Who We're Looking For: You have a Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Physics, or a relevant technical field. You have a PhD with 2 years of research experience, or a Bachelor's degree with 4+ years of research or industry experience in Deep Learning, Artificial Intelligence, or other relevant fields. You have a strong publication record in top-tier AI conferences or journals (e.g., NeurIPS, ICML, ICLR). You have extensive hands-on experience building and training generative models, such as diffusion models, GANs, VAEs, normalizing flows, or autoregressive models. You are proficient in Python and have expertise in at least one major deep learning framework (PyTorch, TensorFlow, or JAX). Who You Are: You have excellent problem-solving skills and the ability to quickly adapt to new challenges. You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and taking pride in solving them. You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty. You have excellent communication skills and can clearly articulate complex technical concepts. You are motivated by making a real impact and are committed to tackling problems of significant consequence with determination and creativity. Bonus points: You have experience applying machine learning to biological or chemical problems. You have knowledge of physics, molecular biology, chemistry, computational biology, bioinformatics, cheminformatics or related fields. You have experience with multi-modal learning. You have contributed to open-source machine learning projects. You have experience in developing efficient code in C/C++. Our Values ❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions. 🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards. 🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community. 📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner. 🎮 Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling. What We Offer We encourage new and different ideas, creativity and contrarian thinking Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you You own your day-to-day management. What we care about is that we all hit our milestones Competitive salary and equity in a growing, well-funded startup Excellent medical, dental, and vision coverage Compensation Range: $120K - $250K

Job Description Tagup is a defense technology company founded at MIT that is delivering logistics decision advantage with next-generation AI. We’re growing rapidly and are looking for change-makers passionate about delivering innovative technologies to solve the most challenging problems in the world’s highest stakes environments. This is an exciting opportunity to engage in meaningful work that strengthens national security and contributes to the success of U.S. and allied forces. Join us in shaping the future of defense logistics for a safer tomorrow. We are seeking a Machine Learning Engineer to join our Salt Lake City team and help shape the next generation of AI-driven defense and aviation systems. In this role, you’ll go beyond building models — you’ll design, deploy, and scale AI solutions that directly support mission-critical operations. This is not a typical ML position. You’ll work at the intersection of cutting-edge research and real-world application, creating models and infrastructure that deliver measurable improvements in reliability, efficiency, and performance. If you’re motivated by solving complex technical challenges and want your work to make a tangible impact on national security and aviation safety, we want to hear from you.What You’ll Do • Develop, train, and optimize ML models for large-scale applications., • Build pipelines for data ingestion and model deployment., • Work with engineers and subject-matter experts to refine solutions., • Conduct testing and validation to ensure reliability., • Co-author technical reports on data analysis and model performance., • Continuously improve ML infrastructure and workflows., • Collaborate with customers to identify new data sources and the industrial processes they will support; some customer travel may be required.What We’re Looking For, • 4+ years of machine learning experience, with strong Python skills and proficiency in frameworks such as PyTorch or TensorFlow., • Proven ability to deploy ML models into production and work with large, complex datasets., • Hands-on experience with MLOps tools and practices, including Kubernetes, MLflow, and CI/CD pipelines., • Experience building and managing cloud infrastructure as code (AWS, Azure, or GCP) with tools such as Terraform or Ansible., • Familiarity with datastores (MySQL, Postgres, or MongoDB) and prior exposure to aviation, defense, or other safety-critical environments is a plus.Salary The estimated salary range for this position is between $125,000 and $165,000 annually. We strive to provide a competitive salary and benefits package that aligns with our employees’ experience and qualifications. Our primary objective is to attract and retain top talent, and we firmly believe in compensating our employees fairly for their invaluable contributions. As a rapidly expanding technology company, we extend part-ownership to all team members through an Employee Stock Option Plan. Additionally, we offer comprehensive health insurance benefits, access to the company’s 401K plan, and foster a team-oriented work environment with regular company outings! Why Join Us? This is your opportunity to move beyond academic experiments and build AI models that make a real difference in defense and industry. At Tagup, you’ll work with a world-class, agile team in a supportive environment that encourages rapid iteration and continuous learning. Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law. Citizenship: Due to the nature of our work with the U.S. Department of Defense, applicants must be authorized to work for any employer in the U.S. We are unable to sponsor visas at this time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. About the Role A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic AI, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams. Responsibilities • Team Leadership: Lead a team of data scientists to develop innovative solutions to complex business problems. Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work., • Collaboration: Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions., • Strategic Assessment: Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue., • Solution Design: Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems., • Communication: Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner., • Continuous Learning: Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems., • Pipeline Management: Responsible for developing, implementing, and managing end-to-end machine learning pipelines. This will involve building, deploying, and maintaining machine learning models, as well as ensuring data quality and system stability. Requirements for the Role, • Education: Bachelor's, Master's, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field., • Experience: 6+ years of total experience in Data Science, Machine Learning & Generative AI., • Cloud Computing: 4+ years of hands-on experience with AWS, including deep expertise in deploying models and managing compute environments., • IBM WatsonX: 2+ years of hands-on experience with IBM WatsonX, • Agentic AI Tools: Experience with LangGraph, Google ADK or similar., • Agentic Architectures : Experience with advanced RAG & multi-agent systems., • Programming: Strong programming skills in languages such as Python, R, C++, and SQL., • Frameworks: Hands-on experience with ML frameworks, such as PyTorch or TensorFlow., • Leadership: Experience leading data science teams and managing multiple projects simultaneously.Soft Skills: Strong problem-solving skills, attention to detail, and excellent communication skills (both written and verbal). Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Powered by JazzHR XDOyWllq0r

Job Description Do you want to be part of the core team that is building the next one-of-a-kind tech companies that can potentially change your career's trajectory?! We are striving to build the future of AI for consumer enterprises, and our founders need your help as we are growing. Come join us and leave your mark! Our founders are looking for a highly ambitious and highly technical Head of Technology to lead the strategy, development, and integration of AI systems across all layers of the AI stack. This senior executive role requires deep technical expertise in both AI/ML and full-stack development, combined with strong leadership, strategic vision, and business acumen. They are familiar with startup environments and bridge the gap between technical teams and business stakeholders to drive innovation and deliver robust, scalable, and ethical AI-powered products. RESPONSIBILITIES • Hands-on Technical Implementation, Architecting, and Oversight, • Design and implement end-to-end systems: Guide and implement the AI-Native platform of Verneek, as well as its solution suite, fullstack: from backend infrastructure to data ingestion, model training and inference, to front-end interfaces and applications., • Architect scalable solutions: Ensure the development of robust, scalable, secure, and maintainable full-stack systems that can deploy and run AI models in production at scale., • Evaluate and select technology: Assess and recommend the use of appropriate AI frameworks (e.g., PyTorch, TensorFlow), cloud platforms (e.g., AWS, Azure), and other tools and vendors., • Enforce best practices: Drive and enforce coding standards, technical architecture patterns (e.g., microservices), and quality control mechanisms., • Strategic leadership and overall vision, • Define and execute the technology strategy: Set the vision, roadmap, and strategic priorities for how Verneek’s fullstack technologies will create business value, improve products, and drive operational efficiency., • Align with business objectives: Collaborate with senior leadership and product teams to translate business needs into technical specifications and viable AI solutions., • Team leadership and management, • Manage projects: Oversee project planning, resource allocation, and budget management to ensure successful, on-time, and high-quality delivery., • Build and mentor teams: Recruit, develop, and manage high-performing teams of Software/AI/ML engineers, full-stack developers, and MLOps specialists, and beyond., • Foster a culture of innovation while delivering quickly: Encourage experimentation, continuous learning, and adaptability to emerging technologies and trends. Requirements • Advanced hands-on technical expertise: Demonstrated hands-on expertise in both AI/ML engineering (including LLMs, computer vision, NLP, etc.) and modern full-stack development as an individual contributor., • Experience with cloud and MLOps: Proficiency with cloud environments (AWS, GCP, Azure) and scaling MLOps for model training, deployment, inference, and monitoring., • Leadership experience: Proven track record of leading and managing engineering or AI/ML teams., • Strategic thinking: Ability to develop a long-term technical vision and align it with overall product and business strategy., • Excellent internal and external communication: The ability to communicate complex technical concepts to both technical and non-technical audiences, including executive leadership and Verneek partners., • Startup Experience:. Prior track record of having helped built series of technologies at a deeply technical startup. MINIMUM QUALIFICATIONS • Bachelor’s Degree in CS/CE/AI other technical fields, • Work authorization in the USA at the time of hire At Verneek, we are very determined to build a company that promotes diversity of thought that comes from the diversity of the individuals on the team! Candidates from any gender identity, race, color, religion, sexual orientation, national origin, veteran, or disability status are highly encouraged to apply. Benefits Stellar medical, dental, vision, disability, and life insurance Daily private Chef lunch, curated to personal diets Transportation Benefits 401K matching contributions Flexible PTO Visa/Green Card Sponsorship Career growth support through sponsoring learning opportunities and mentorship About Verneek Verneek is an early-stage deep-tech AI startup, based in the NYC area, founded by a team of leading AI research scientists and backed by a group of world-renowned business and scientific luminaries. Our mission is to build the most helpful AI for anyone, anywhere, at anytime. We are obsessed with what we do and we have fun doing it. Read more about verneek here: https://www.verneek.com/about-verneek and make sure to watch all our introductory videos and yearly recaps here: https://www.verneek.com/culture. Verneek Culture It’s often hard to put “culture” into words, perhaps you can get a visual sense of our culture here: https://www.verneek.com/culture. We all obsessively love what we do, care about each other, share all sorts of meals together, celebrate all kinds of events together, and work tirelessly with the excitement of making a difference through AI innovation. We are enjoying the journey, and going through all the ups and downs together. Although we have come a very long way in setting the foundations of our unique company, but we still have ways to go and you can help shape our culture! The core Verneek team plays a crucial role in further shaping the culture of the company moving forward. We are looking for highly ambitious and tremendously driven individuals who can take the lead in driving various aspects of the company, and help us shape its lasting impact. Annual Salary Range: [tbd]

Job Description About Kontakt.io Kontakt.io is building the platform that care operations run on. We reduce waste, cut costs, and improve throughput in hospitals by automating and orchestrating clinical workflows. Using AI, real-time location data (RTLS), and deep EHR integration, our platform enables care teams to operate with real-time intelligence and financial discipline. Trusted by leading U.S. health systems including HCA, Sutter Health, AdventHealth, Trinity Health, and the U.S. Department of Veterans Affairs — and backed by Goldman Sachs — we are scaling rapidly toward the next phase of durable, disciplined hypergrowth. As a Data Science Lead, you will play a pivotal role in designing, developing, and deploying machine learning models that drive AI-powered automation across healthcare operations. You will own end-to-end ML lifecycle management, ensuring operational excellence, measurable business impact, and collaboration with cross-functional teams. Your work will enable hospitals and healthcare facilities to deliver better, faster, and more cost-effective care.If you’re passionate about building impactful ML solutions, leading data science teams, and transforming care delivery operations, join Kontakt.io and help us redefine the future of healthcare! Responsibilites Own the full lifecycle of assigned ML models — from ideation to deployment and post-launch validation. Translate business goals into measurable data science objectives (e.g., improve workflow efficiency or reduce operational latency). Design and execute robust A/B or interleaved tests to quantify model impact; define success metrics before deployment. Deliver production-ready, well-documented code following internal engineering standards (testing, CI/CD, peer review). Package and deploy models as services (APIs, microservices), treating deployment as an integral part of development. Maintain operational reliability, scalability, and performance of all owned models and pipelines. Build dashboards and alerts for model health, drift detection, and SLA compliance. Continuously monitor for degradation, bias, or data drift; proactively resolve issues. Participate in on-call rotation for ML systems; enable team to serve as primary responder for incidents related to owned models and data services. Lead root cause analysis (RCA) within 48 hours of production incidents and document remediation actions. Serve as the internal subject-matter expert for your domain (e.g., patient journey, asset utilization). Partner with Product, Engineering, and Leadership to communicate insights, model limitations, and roadmap priorities. Identify high-value data sources and upstream improvements to improve model outcomes or enable new capabilities meaningfully. Ensure all initiatives are tied to clear metrics or business KPIs. What You Bring Proven leadership experience with the ability to drive technical strategy while mentoring a high-performance Data Science and ML Engineering team. 10+ years of experience in Data Science, Machine Learning, or related roles. Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn). Experience with production ML systems, including model deployment, monitoring, and lifecycle management. Familiarity with cloud platforms (AWS) and scalable ML infrastructure. Strong understanding of data engineering, feature engineering, and model evaluation metrics. Experience with real-time systems, RTLS, or healthcare data Knowledge of healthcare regulations and EHR systems (Epic, Cerner, Meditech) Ready to Build the Future of Healthcare? Apply now and help to build the platform that care operations run on. 🚀

Job DescriptionResearch Intern (PhD), Machine Learning Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales — from molecules to organisms — enabling us to predict, understand, and program living systems in ways never before possible. Output Biosciences is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI and biology, and backed by top VCs including Y Combinator. Our internships offer flexible commitment, with a minimum of 20 hours per week, ranging 12 to 24 weeks. We have various start dates available to accommodate your academic schedule. There may be opportunities for full-time employment upon successful completion of your PhD. You will contribute to the development of novel machine learning approaches for biological data analysis and interpretation You will design and implement experiments to evaluate and improve AI models using large-scale biological datasets You will collaborate with our interdisciplinary team to tackle complex challenges in molecular biology and drug discovery You will present your research findings and contribute to publications in top-tier conferences and journals You will have the opportunity to work on projects that directly impact the future of medicine and biotechnology Who We're Looking For You are currently pursuing a PhD in Machine Learning, Computer Science, Computational Biology, or a related field You have a strong background in deep learning, with experience in frameworks such as PyTorch or TensorFlow You have a proven track record of research, demonstrated by publications at conferences such as NeurIPS, ICML, ICLR, or relevant computational biology venues You are proficient in Python and have experience with large-scale data processing and analysis You have excellent problem-solving skills and the ability to work independently on complex research problems You are passionate about applying AI to solve real-world challenges in biology and medicine You have strong communication skills and can effectively present technical concepts to diverse audiences You thrive in a fast-paced, startup environment and are excited about making a significant impact in a growing field Bonus Points Experience with biological data analysis or computational biology projects Familiarity with generative AI models, such as transformers or diffusion models Contributions to open-source machine learning or bioinformatics projects Our Values ❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions. 🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards. 🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community. 📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner. 🎮 Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling. What We Offer We encourage new and different ideas, creativity and contrarian thinking Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you You own your day-to-day management. What we care about is that we all hit our milestones Competitive salary and equity in a growing, well-funded startup Excellent medical, dental, and vision coverage

Job DescriptionSalary: Senior AI/ML Engineer Client: Global advertising company Location: Chicago or NYC; 3 days a week onsite. Were seeking a senior AI/ML Engineer with minimum 9-10 yrs experiencewho can serve as a Technical Architect owning end-to-end design and delivery of machine learning solutions. This role blends hands-on model development, ML platform engineering, and architectural governanceto build scalable, secure, and cost-effective AI systems that power high-impact business use cases. Responsibilities • Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects, AI/ML, NLP/NLU and deep learning solutions., • Develop, implement, and deploy AI/ML solutions., • Preprocess and analyze large datasets to identify patterns, trends, and insights., • Evaluate, validate, and optimize AI/ML models to ensure their accuracy, efficiency, and generalizability., • Deploy applications and AI/ML model into cloud environment such as AWS/Azure/GCP etc., • Monitor and maintain the performance of AI/ML models in production environments, identifying opportunities for improvement and updating models as needed., • Document AI/ML model development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement. Qualifications • Bachelor's or masters degree in Computer Science, Data Science, Engineering, or a related field., • Experience on Agentic AI/ Frameworks, • Strong programming skills in languages such as Python, SQL/NoSQL etc., • Build analytical approach based on business requirements, then develop, train, and deploy machine learning models and AI algorithms, • Exposure to GEN AI models such as OpenAI, Google Gemini, Runway ML etc., • Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks, such as TensorFlow, PyTorch, Scikit-learn, OpenCV and/or Keras., • Knowledge of math, probability, and statistics., • Familiarity with a variety of Machine Learning, NLP, and deep learning algorithms., • Exposure in developing API using Flask/Django., • Good experience in cloud infrastructure such as AWS, Azure or GCP, • Exposure to Gen AI, Vector DB/Embeddings, LLM (Large language Model), • Familiarity with Microsoft Foundry and Copilot Studio

Job Description About the Role: We are in search of an exceptional Machine Learning Engineer to join our accomplished team. In this role, you will take the lead in developing and fine-tuning predictive ML models, with a primary focus on Ad Score and Ad Account Health. You will play a crucial part in delivering actionable insights and solutions to our clients, and your work will be integral to our mission. Responsibilities include but are not limited to; • ML Model Development: Lead the development and refinement of predictive ML models, particularly Ad Score and Ad Account Health., • Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and insights that inform model development and optimization., • Feature Engineering: Collaborate with data engineers to create and maintain feature engineering pipelines to support model training., • Model Evaluation: Implement rigorous evaluation methodologies to assess model performance, making necessary adjustments for continuous improvement., • Deployment and Integration: Work closely with engineering teams to deploy models and integrate them into our products through APIs., • Collaboration: Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless integration of data science solutions into our products., • Research and Innovation: Stay up-to-date with the latest developments in the field of data science and machine learning, and explore innovative approaches to problem-solving. Requirements • Master's or Ph.D. in a related field with a strong academic background., • Proven experience as a Data Scientist with a track record of developing and deploying predictive ML models., • Expertise in machine learning techniques, including but not limited to regression, classification, clustering, and deep learning., • Proficiency in data manipulation, feature engineering, and model evaluation., • Strong programming skills in languages such as Python and experience with libraries like TensorFlow, PyTorch, or scikit-learn., • Excellent communication skills and the ability to collaborate effectively within cross-functional teams., • A passion for continuous learning and staying updated with the latest trends and technologies in data science., • Strong problem-solving abilities and the capacity to translate complex data into actionable insights.Required knowledge of:, • Python, • SQL, • Cloud Platforms (GCP, AWS, Azure), • Data Warehouses (BigQuery, Snowflake, Redshift), • LLMs / AI APIs, • Git / GitHubNice to have:, • Data Transformation (dbt), • Semantic Layers (Cube, Looker, dbt Metrics), • TypeScript, • Bayesian modeling experience - ideally Marketing Mix Models (PyMC, Stan, or similar..). Understands priors, MCMC sampling, posterior diagnostics., • Causal inference / experimentation- geo experiments (matched markets), A/B testing at scale. Familiar with incrementality measurement., • Marketing/advertising domain- understanding of attribution, media channels (paid social, search, display, video), campaign structures., • Nice to have - familiarity with adstock/saturation curves and budget optimization Our interview process includes, but is not limited to the following: • Excel and Typing Test We offer a competitive salary and benefits based on ability level, including: • Unlimited vacation policy, • Monthly Phone Stipend, • Comprehensive Medical, Dental, and Vision insurance options, • 401(K) plan with matching, • Dog friendly office, • Hybrid work opportunity, • Professional Development Program, • Bonus Perk - Seamless allowance Total compensation based on education, experience, and skills level ($90,900-$254,100) Level 1 - Possesses essential capabilities $90,900-$123,540 Level 2 - Possesses developing capabilities $123,540-$156,180 Level 3 - Possesses notable capabilities. $156,180-$188,820 Level 4 - Possesses strong capabilities. $188,820-$221,460 Level 5 - Possesses advanced capabilities. $221,460-$254,100 About WITHIN WITHIN is the world's first Performance Branding company, partnering with some of the biggest brands in the world to drive business growth through innovative marketing strategies. Our integrated operating model collapses the traditional marketing silos between creative and media, performance and brand, and across media channels. With a full suite of offerings including media, creative, SEO, Lifecycle, Retail Media, Affiliate and Influencer, we're able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own. Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Ben and Jerry's and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It's a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems. Check out some of our work! We weave AI into everything we do, using the latest tech across all teams to innovate, work smarter, and make better decisions. Whether it's in creative, operations, or anything else, AI helps us level up and do things at a whole new scale. We expect our people to use AI in their daily work, fully embracing it as a critical tool to help us succeed. Join Our Network! Stay connected with us and be the first to know about new opportunities, industry insights, and updates. Follow us on: • LinkedIn, • WhatsApp Community, • Instagram, • Tik Tok Locations • New York City: 43-01 22nd St, Suite 602, Queens, NY 11101, United States, • Bogotá: WeWork Av. Carrera 19 #100-45 Usaquén, Piso (Floor) 10, Bogotá, Distrito Capital de Bogotá 110111, Colombia, • Mexico City: Av. Insurgentes Sur 1082, Piso (Floor) 2, Oficina 2008, Ciudad de México, CDMX 03100, México

Job Description Location: New York, NY Our client is a distinguished global provider of legal services. This is a full-time, direct hire onsite role requiring US Citizenship or Green Card. We are seeking a Legal Practice Technology Data Scientist. This position can be in San Francisco, Los Angeles, Chicago, or New York – relocation assistance is not offered. If you have spent your career in eDiscovery and litigation support and are ready to apply that foundation, along with a broader technical skill set, to a wider scope of work, this could be the role for you. Data Scientists sit within a group of discovery, data management, and AI specialists dedicated to designing and executing client-focused workflows on some of the most complex matters in our industry. You will report to the Associate Director of Technical Operations. The role is hands-on and client-facing; more than half of your time will be spent directly embedded in active matters. This position sits within the firm’s Innovation Program. Our client upholds strict performance standards and fosters a culture focused on continuous growth. Individuals who exhibit initiative and dedication will be offered opportunities for increased responsibilities and long-term professional advancement within the organization. Must be a U.S. Citizen or Green Card holder – sponsorship is not available Desired Qualifications and Experience: • Bachelor’s degree, • 3+ years of experience in a law firm, legal services, or professional services organization with significant experience working in a team environment., • Ability to translate complex concepts into client-friendly language., • Highly analytical with strong problem-solving skills and the ability to translate ambiguous problems into structured solutions., • Knowledge of statistical analysis and data modeling., • Demonstrated hands-on experience with Relativity custom development. Deep knowledge in eDiscovery-focused data processing, structured analytics, and related troubleshooting., • Expert-level proficiency in Microsoft Excel, including VBA development, Power Query, complex formula construction, advanced data modeling, and chart design., • Experience in creating data visualizations with hands-on proficiency in tools such as Plotly, Tableau, and Microsoft Power BI., • Strong Python skills for data analysis, statistical modeling, and AI/ML prototyping (e.g., pandas, PyTorch, TensorFlow); advanced SQL proficiency; experience building data pipelines., • Proficiency in front-end web technologies including JavaScript, HTML, and CSS, with the ability to develop interactive web-based tools and dashboards., • Hands-on experience with AI platforms and tools (e.g., OpenAI, Microsoft Azure OpenAI, Hugging Face, LangFlow, LangChain), including practical implementation of RAG pipelines, vector databases, and knowledge graph construction., • General knowledge of social network analysis, natural language processing, classification algorithms, and image processing., • Familiarity with git, svn, JIRA, or other version control technologies., • Familiarity with hardware platforms (e.g., CPUs, GPUs, FPGAs)., • Familiarity with leading legal technology platforms is preferred (docketing systems, document management systems, case management systems, eDiscovery, data collection and web capture solutions)., • Experience evaluating LLM output quality through benchmarking, precision, recall, and extraction accuracy assessment is preferred. Summary of Responsibilities: Coordination and Execution of In-house Solution Development. You will support the collection of requirements and the design and building of in-house solutions. You will consult with case teams on data strategies and execute rapid solution development including custom scripting, data management, database development, and visualization design. You will complete requests requiring advanced technologies such as document layout analysis, LLM-based information extraction, semantic chunking, and entity recognition, while maintaining comprehensive documentation throughout. Data Project Service Delivery. You will support matter-specific needs as a subject matter resource, analyzing and troubleshooting data processing and analytics issues. You will develop custom eDiscovery workflows and execute data-heavy, data-modeling projects that require creative problem-solving and technical depth. Department Initiatives. You will work closely with other data science teams and Legal Practice Technology (“LPT”) leadership to evaluate and test internal solutions and emerging technology. You will serve as a go-to resource for technical knowledge in AI, contributing your expertise to the team’s continuous advancement of its capabilities. How to Apply: Our client has hired us to help facilitate the initial interview and recruiting process. Please attach your current version of your resume and make sure you complete our initial pre-screening questions that will be used for determining which applicants will be considered at this time. Thank you for your interest. Company DescriptionWe Place People is a premiere Executive Search Firm working with leading companies nationwide. We have a direct relationship with our clients and a 95% hire rate! We differentiate ourselves from other firms & work closely with our candidates throughout the interview process. WE PLACE PEOPLE is what we do best!We Place People is a premiere Executive Search Firm working with leading companies nationwide. We have a direct relationship with our clients and a 95% hire rate! We differentiate ourselves from other firms & work closely with our candidates throughout the interview process. WE PLACE PEOPLE is what we do best!

Job Description About Us Daat Lab is an AI venture studio that collaborates directly with businesses to transform deep domain expertise into valuable, commercial-grade AI products. We assist companies in identifying and validating high-impact, AI-feasible use cases. Our process spans from initial ideation and building a proof of concept to developing a fully commercializable product and successfully launching it in the market. We maintain an active presence across multiple sectors, including real estate, digital marketing/e-commerce, and health, with an ambitious goal of adding one new product to our portfolio every month. About the Role We are seeking a Technical Lead to drive product development from initial concept to launch, maintaining a strong customer focus. This is a highly hands-on role where you will thrive in ambiguity and be responsible for the full product lifecycle across multiple projects simultaneously. You will collaborate directly with our strategy and business teams to identify high-value, AI-feasible opportunities and influence product direction through rapid execution, including discovery, prototyping, building, shipping, and iteration. What You’ll Do: • Own multiple projects from end to end: brainstorming product concepts, generating POCs to be evaluated and owning builds to reach a minimum viable product., • Build full-stack applications (backend, frontend, data layer, infra, deployment, and monitoring)., • Experiment with AI functionality on each case: classical ML when needed (forecasting, scoring, classification), plus LLM/agent workflows and evaluation loops, • Establish engineering standards: code quality, CI/CD hygiene, logging/analytics, basic security, • Work directly with design partners and ship weekly updates, • Mentor/hire as the team grows Requirements • You should have:, • 6+ years shipping full-stack products end-to-end, • Strong Python and modern web stack (React/Next.js + APIs + DB + deployments), • Data processing and Machine learning fundamentals (pandas, Sklearn, pytorch/tensorflow, model evaluation), • Experience building with LLMs and Agent frameworks (Open AI SDK, Google ADK, Langchain/Langraph, MCP), • Comfort with ambiguity, fast cycles, and customer-facing iteration, • Team leadership experience (manager/tech lead), • What Success Looks Like:, • Ship multiple POCs that clearly validate feasibility and ROI, • Bring at least one concept to a usable MVP with design-partner feedback loops, • Set baseline engineering practices (CI/CD, logging, analytics, environments) that scale Benefits • Salary: $160 - 200k (full-time hire, will start as a 1099 contractor) Please note: Daat Lab is a separate entity, unrelated to Alchemy Worx.

Job Description Required experience & education: • Master's or Ph.D. in a related field, • 4+ years of experience as a Data Scientist, • 4+ years experience developing and deploying predictive ML models., • Strong programming skills in languages such as Python and experience with libraries like TensorFlow, PyTorch, or scikit-learn., • Proficiency in data manipulation, feature engineering, and model evaluation., • ML / Predictive Modeling Experience building predictive models (regression, classification, clustering, forecasting)., • Experience with SQL, • Experience working with Cloud Platforms (GCP, AWS, Azure), • Experience working with Data Warehouses (BigQuery, Snowflake, Redshift), • Working experience with LLMs / AI APIs, • Experience using Git / GitHub

Job DescriptionDescriptionHeadquartered in Kendall Square, Cambridge (MIT), C10 Labs is expanding its presence to New York City - one of the most vibrant ecosystems for Applied AI. As we grow, we are seeking bold, entrepreneurial leaders to help shape the future of AI innovation. Press Release Position Overview: We are seeking a part-time AI Fellow to join our team in a part-time capacity. This position is more than a job - it's an opportunity to shape the future of AI, molding our portfolio companies into global leaders in the AI space. This role offers a hands-on opportunity to work on challenging projects, collaborate with experienced researchers and engineers, and contribute to the development of groundbreaking AI solutions. If you value working with the brightest minds in the world in areas like climate tech and health then come join us to shape the future of humanity! What you'll do: • Define and lead AI initiatives within our portfolio companies, working closely with founders and tech teams., • Oversee the application of AI technologies across multiple platforms and products., • Share knowledge and insights through regular presentations, workshops, and collaboration sessions with venture and portfolio teams., • Advise on best frameworks and tools for our portfolio companies to create solutions., • Advise our executive team on AI strategy, risks, opportunities, and investments., • Maintain a strong network in the global AI community, staying informed of the latest research and developments. Some expertise you may have: • Product Development Experience: full product development and bringing cutting edge AI products, platforms, and services to market, • Technical Development: Expertise in AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and others. Strong programming full stack skills in languages such as Python, R, or Java, with experience in implementing machine learning models and algorithms., • Knowledge of cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying AI solutions at scale., • Familiarity with AI model optimization, including hyperparameter tuning, model evaluation, and performance benchmarking., • Major plus will be experience with assessing tech readiness in AI projects using commonly used frameworks like TRL, AI Maturity Models, Model Validation Frameworks, SAFE AI, IEEE, IRL., • Excellent communication skills and ability to explain complex AI concepts to non-technical stakeholders. What we offer: • An exciting opportunity to shape the AI landscape and create industry-defining companies., • Collaborative, innovative, and intellectually stimulating work environment., • Exposure to real-world AI projects and applications., • A platform to leverage your AI expertise and make a global impact. If you are passionate about AI, would love to work with an amazing team, ready to solve challenging problems, and eager to transform industries through innovative technologies, we want to hear from you. Apply now and join us on our mission to shape the future of AI. C10 Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Description Basic Qualifications: • Knowledge of different compilation steps (and ability to fix) in languages such as Go, C, C++, or Java., • Excellent communication skills and the ability to collaborate effectively with cross-functional teams, • Ability to mentor and grow a group of other Software Engineers, • Ability to lead projects with several cross-org dependencies and design complexities, • Large-scale training using data structures and algorithms, • Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning) Preferred Qualifications • PhD or equivalent in Computer Science, Engineering, Mathematics or related field, • 8+ years of experience in professional software development experience, developing and deploying systems in production environments, • Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib, • Excellent communication skills and the ability to collaborate effectively with cross-functional teams, • Ability to mentor and grow a group of other Software Engineers, • Anomaly Detection Techniques, • Deep Learning, • Scalable ML architecture, • Feature management, • Causal ML, • Reinforcement learning Anticipated base 250-280k + bonus + equity and comprehensive benefits

Job Description We are sharing a specialised part-time consulting opportunity for professionals experienced in machine learning engineering, model development, Python, ML frameworks, model deployment, MLOps, and structured AI workflow review. This role supports current and upcoming remote consulting opportunities focused on machine learning model evaluation, ML engineering workflow review, model deployment assessment, MLOps documentation, technical task development, and high-quality project execution. Selected professionals will apply their machine learning engineering expertise to review realistic ML scenarios, evaluate technical outputs, prepare structured written feedback, and support accurate, evidence-based AI engineering workflow tasks. Key Responsibilities Professionals in this role may contribute to: Machine Learning Model Development Review • Review machine learning scenarios involving model development, training workflows, feature engineering, evaluation metrics, and model behavior, • Evaluate ML outputs against source materials, technical requirements, model assumptions, and documented review criteria, • Support structured review of model architectures, experiment notes, training pipelines, evaluation reports, and technical explanations, • Identify missing assumptions, implementation gaps, metric issues, and expected ML review outcomes Python, ML Frameworks & Technical Workflow Support • Review materials involving Python, PyTorch, TensorFlow, data preprocessing, model experimentation, inference workflows, and ML code-adjacent tasks, • Evaluate technical recommendations for clarity, correctness, feasibility, reproducibility, and alignment with ML engineering standards, • Support structured review of notebooks, model documentation, pipeline notes, experiment summaries, and implementation plans, • Prepare clear written feedback based on source materials and verifiable technical criteria Model Deployment, MLOps & Structured Feedback • Review scenarios involving model deployment, monitoring, versioning, CI/CD, data pipelines, production ML systems, and MLOps workflows, • Provide structured feedback on technical accuracy, workflow realism, deployment readiness, and engineering reasoning, • Support evaluation workflows involving AI-generated ML plans, debugging notes, model analysis, and production-readiness assessments, • Maintain accuracy, consistency, and professional judgment across submitted work Ideal Profile Strong candidates may have: • Professional experience in machine learning engineering, applied ML, data science engineering, AI engineering, MLOps, model deployment, or related technical roles, • Background in one or more areas such as model development, Python, PyTorch, TensorFlow, data pipelines, model evaluation, production ML, or ML infrastructure, • Familiarity with workflows involving training, validation, experiment tracking, model serving, monitoring, deployment, and technical documentation, • Comfort reading and preparing ML artifacts such as notebooks, model reports, experiment logs, pipeline documentation, deployment notes, and technical summaries, • Strong written communication skills, • Ability to work independently in a remote, project-based environment Educational Background • A degree or professional background in computer science, machine learning, data science, statistics, mathematics, software engineering, computer engineering, or a related technical field is helpful, • Graduate-level study, applied ML experience, research experience, or production engineering experience is highly relevant, • Equivalent practical experience in ML engineering, AI systems, MLOps, model deployment, or technical review is also valuable Nice to Have • Experience with PyTorch, TensorFlow, scikit-learn, Python, SQL, Docker, Kubernetes, cloud platforms, MLflow, Weights & Biases, Airflow, Spark, or similar tools, • Familiarity with model deployment, inference optimization, monitoring, feature stores, data validation, experiment tracking, or production ML systems, • Experience preparing or reviewing technical documentation, model cards, evaluation reports, deployment plans, pipeline notes, or ML system designs, • Background in AI labs, applied ML teams, SaaS platforms, data infrastructure, research engineering, or high-scale production environments, • Strong attention to detail in technical, data-heavy, and model-driven workflows Why This Opportunity • Apply machine learning engineering expertise to structured remote project work, • Contribute to high-quality ML evaluation, model workflow review, deployment assessment, and AI engineering task development, • Work on flexible assignments aligned with your ML engineering background, • Use your technical judgment in a focused, detail-oriented review environment, • Remote structure with competitive hourly compensation Contract Details • Independent contractor role, • Fully remote with flexible scheduling, • Part-time commitment depending on project availability, • Competitive rates between $95–$135 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance, • Work will not involve access to confidential or proprietary information from any employer, client, or institution About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.

Job Description We are a cutting-edge technology company at the forefront of the Artificial Intelligence (AI) revolution. Our mission is to create intelligent solutions that transform industries and drive innovation. We are seeking a talented and motivated Prompt Engineer to join our dynamic team and play a pivotal role in shaping the future of AI. Role Overview: As a Prompt Engineer, you will be a key member of our AI development team, responsible for designing and developing high-quality prompts that drive our AI models and algorithms. Your expertise in crafting effective and engaging prompts will be essential in enhancing the performance and capabilities of our AI systems. Responsibilities: • Collaborate with AI researchers and developers to understand project requirements and objectives., • Design and create a diverse range of prompts tailored to specific AI tasks and applications., • Develop creative and innovative ways to generate effective prompts that improve model performance., • Conduct extensive research to identify and curate relevant data sources for prompt development., • Ensure the prompts are designed to elicit desired responses and achieve the desired outcomes., • Optimize and fine-tune prompts based on continuous testing and feedback from AI models., • Analyze AI model outputs and make data-driven adjustments to improve prompt efficacy., • Stay up-to-date with the latest advancements in natural language processing and AI technologies., • Collaborate with cross-functional teams to integrate prompts into AI applications seamlessly. Requirements: • Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred., • Proven experience in working with natural language processing and AI technologies., • Strong understanding of AI models, algorithms, and neural networks., • Experience in prompt engineering, creative writing, or content creation is a plus., • Proficiency in programming languages such as Python or JavaScript., • Solid knowledge of data collection, preprocessing, and annotation for prompt development., • Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face., • Strong analytical and problem-solving skills with a keen eye for detail., • Excellent communication and collaboration skills to work effectively in a team environment., • Passion for innovation and a keen interest in staying updated with the latest AI trends. Join us in shaping the future of AI as a Prompt Engineer and be part of a dynamic team that is pushing the boundaries of what AI can achieve.

Job DescriptionHinge 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 millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role At Hinge, the recommendation engine is a central part of our product. Every interaction users have with each other on our app begins with the systems your team builds and owns. As the engineering manager of this team, you will help drive the strategy and execution behind the infrastructure and features that power our recommendations. You’ll work closely with machine learning engineers, product managers, data scientists, and data engineers to build systems that balance personalization, fairness, and user experience at scale, from low-latency match-serving pipelines to the candidate retrieval and ranking systems that determine who users see and when. Our ability to provide good recommendations is central to achieving trust, engagement, and, most importantly, whether people can find who they’re looking for on Hinge. Responsibilities Lead, mentor, and grow a team of 6-8 engineers building recommendation services Partner with ML to productionize recommendation models and ensure low-latency, high-availability serving infrastructure Own the technical roadmap for the recommender platform, balancing new capabilities with reliability and performance improvements Drive architecture decisions for recommendation and search infrastructure Establish and maintain engineering standards for code quality, testing, observability, and incident response Collaborate with Product, Design, and cross-functional engineering teams to define and deliver product-facing recommendation features Manage hiring, performance reviews, career development, and team culture What We're Looking For 8+ years of software engineering experience, with 4+ years in an engineering management role Strong backend systems expertise – you've built or operated large-scale distributed systems in production Experience with recommendation systems, search ranking, personalization, or adjacent ML-serving infrastructure Proficiency in one or more backend languages (ideally Go) Familiarity with data processing architectures, feature stores, and model-serving technologies (e.g., Kafka, Spark, ElasticSearch, etc) Track record of hiring, developing, and retaining high-performing engineering teams Ability to communicate technical trade-offs clearly to both engineers and non-technical stakeholders Nice to Have Experience with ML frameworks (TensorFlow, PyTorch) or MLOps tooling (MLflow, Kubeflow, Airflow) Hands-on experience with cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Kubernetes) Background in A/B testing and experimentation platforms Prior work at scale (millions of daily active users or equivalent throughput) Factors 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.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 an 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 a stipend towards 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+, Raices, Women/Nonbinary, Parents —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 .

What we're looking for: - Professional experience in machine learning model development, Python & ML frameworks (PyTorch/TensorFlow), model deployment & MLOps - Strong communication skills - Ability to work independently in a remote environment How it works: This is not a specific job posting.

We are looking for Mid, Senior, and Lead Software Engineers to join our team at Prominent Edge. We are a small, stable, growing company that believes in doing things right. Our projects and the needs of our customers vary greatly; therefore, we always choose the approach and technology stack that best suits the particular problem and the goals of our customers. We, therefore, want engineers who do high-quality work, stay current, and are up for learning and applying new technologies when appropriate. We've been a 100% remote company before it was cool to be remote. We hire the best talent and always strive to exceed expectations. We leverage best-of-breed open source technologies to provide our customers with innovative user-centric solutions. We invest in our company culture and make sure that we have fun. We also have exceptional benefits. If this sounds like the type of environment in which you would thrive, and you qualify for the position below, please apply -- we’d love to hear from you! Visit our careers page () to learn more, and visit our work page to get an idea of the type of work we do (). \n Required Skills • US Citizenship required, • Experience as a Full-Stack Software Engineer experienced working in an Agile development environment, • Experience leading project teams through the full development life cycle, including requirements analysis, architecture, design, coding, testing, and delivery of solutions, • Front-end development skills using modern JavaScript frameworks, such as ReactJS/React Native, Angular, or Vue, • Backend development skills using server-side frameworks, such as NodeJS/Express, Flask, Django, or Spring, • Database skills (e.g., Postgres/PostGIS, SQLite, MySQL, SQL Server, Elasticsearch, MongoDB, Redis, etc.), • Excellent interpersonal and communication skills, • Self-motivated, results-oriented, and team player, • BS degree in Computer Science or related field, or equivalent work experience Additional Skills (“Nice to Have”) • Open source geospatial technologies, such as Mapbox GL, GeoServer, etc., • Data visualization using technologies such as Kibana, Tableau, D3, etc, • Containerization and container orchestration, preferably using Docker and Kubernetes, • Cloud computing, especially using AWS services such as S3, RDS, SQS, EMR, or Kinesis, • Serverless approaches, preferably using AWS Lambda and Serverless Framework, • DevOps and Continuous Integration / Continuous Delivery (CI/CD), using technologies such as Jenkins or AWS CodeBuild, • 3D web experience using technologies such as CesiumJS, WebGL, Unity, or Unreal, • Advanced technologies (machine learning, computer vision, image processing, data mining, data analytics), using tools such as TensorFlow, PyTorch, or Apache Spark, • Scrum Master, • Advanced degree (MS or MBA), • Active (or open to) Security Clearance Benefits • 3 weeks paid time off per year + 10 Holidays, • Six percent 401k matching, vested immediately, • Comprehensive health care plan(s) with nationwide coverage for you and your family, • Flex time (i.e., adjust your hours to fit your schedule), • Paid training, courses, and conferences, • Laptop upgrades, • Work from the comfort of your own home!, • This organization participates in E-Verify \n

Role - Machine Learning Expert (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our premier client. About Adidev Technologies Inc. Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: Degree in Computer Science, Engineering, Statistics, or a related technical field. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. Strong foundational understanding of algorithmic complexity and data structure optimization. Excellent problem-solving, collaboration, and communication abilities. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. We provide support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? We invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

We’re a ten-time “Best Company to Work For,” where intelligent, talented people come together to do outstanding work—and have a lot of fun while they’re at it. We offer a solution-focused environment full of collaboration and dedication, to our goals and to each other. You’ll have the opportunity to drive your own success in a supportive, globally connected environment. From advanced tools and technology to an immersive company culture, working at Logic20/20 means working on the leading edge, with a community of the right people around you. Logic20/20 is seeking a Senior MLOps Engineer to support data science teams utilizing artificial intelligence and machine learning to predict and analyze computer vision or customer intent models. This is an exciting opportunity to make an impact by leveraging AI and ML techniques to create production-level systems through the application of machine learning models. What you’ll do: • Create frameworks to predict a variety of outcomes in different scenarios, • Create models of customer satisfaction that provide detailed insight into what causes a customer to take different actions, • Collaborate with other data scientists and stakeholders on projects, • Develop solutions in Python, • Develop production-grade solutions, • Work in Hadoop, Redshift, and Spark, • Translate business and product questions into analytics projects, • Communicate clearly over written and oral channels while translating complex methodologies and analytical results into high-level insights, • 10-15 years of experience as a machine learning (MLOps), data, and/or software engineer using Python in a production environment, • Experience building, deploying, and optimizing machine learning models., • Strong experience with Azure ML and Databricks/MLflow., • Strong experience with Terraform and Kubernetes., • Experience building and managing robust CI/CD pipelines for machine learning workflows, including model training, evaluation, and deployment., • Knowledge of professional enterprise software development and practices, including software lifecycle, best coding practices, version control, architecture, testing, and deployment., • Familiarity with popular machine learning libraries and frameworks, including TensorFlow, Keras, etc., • Experience with GitHub., • Experience building data pipelines. Preferred qualifications • Experience developing and deploying image models., • Master's degree/PhD in computer science or related field., • Consulting experience. At Logic20/20, we believe in recognizing and rewarding exceptional talent. Logic20/20 offers a competitive compensation package, with a target base salary range of $140,454 - $158,337 for this role. The final base salary offered is dependent on factors such as relevant experience, skills, qualifications, and location. Eligible employees may also qualify for performance-based bonuses and other incentives. All your information will be kept confidential according to EEO guidelines. Learn more about life at Logic20/20! Visit our _ page to explore our culture, benefits, and what makes Logic20/20 a great place to grow your career! Core Values At Logic20/20, we are guided by three core values: Drive toward Excellence, Act with Integrity & Foster a Culture of We. These values were generated and agreed upon by our employees—and they help us pursue our goal of being one of the best companies to work for and to work with. Learn more at _. Equal Opportunity Statement We believe that people should be celebrated: for their talents, ideas, and skills, but most of all, for what makes them unique. We prohibit harassment and/or discrimination based on age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law. To learn more about our DE&I initiatives, please visit: _ Privacy Policy During the recruitment and hiring process, we gather, process, and store some of your personal data. We consider data privacy a priority. For further information, please _.

Apiphany is a pioneering foundational AI company for physical product development. We empower global innovators in automotive, aerospace, medtech, and energy to transform mountains of unstructured technical data into real-time, actionable insights. Backed by world-class investors from Markforged, Databricks, GM, and Character, our mission is to revolutionize how engineering decisions are made, turning complexity into clarity for the world’s top manufacturers. Our models are built for the complexities of engineering and manufacturing. Our models understand physics principles, design specifications, and program constraints. We’re a small, elite team of builders from Stanford, Berkeley, MIT, UW, and CMU, alongside industry leaders from GM, Ford, and Genesis Therapeutics. We’re passionate about transforming hard-tech and building a category-defining company together. Develop AI-powered manufacturing applications: Build full-stack solutions that integrate real-time AI (Artificial Intelligence) models for predictive maintenance, anomaly detection, defect classification, and process optimization. Engineer for complexity and scale: Design and implement robust, distributed systems that handle large-scale data pipelines, streaming industrial sensor data, and real-time AI inference. Integrate with factory-floor systems: Work with Industrial Internet of Thing (IIoT), Manufacturing Execution System (MES), Supervisory Control and Data Acquisition (SCADA), Programmable Logic Controls (PLCs), and edge computing to deploy AI models that interact with manufacturing processes in real time. Bridge AI and human decision-making: Develop intuitive, high-performance interfaces that allow operators, engineers, and managers to interpret AI-driven insights and take action. Own the full-stack: Build and optimize front-end applications (React, TypeScript, etc.) and backend services (Python, Node.js, or similar), ensuring seamless end-to-end experiences. Ship in real-world production environments: Deploy software that runs in factories, on edge devices, or in the cloud, working within the constraints of industrial infrastructure. Iterate quickly in a high-uncertainty domain: Prototype, test, and refine solutions based on direct user feedback and real-world performance data. Bachelor’s degree in computer science, information technology, software engineering, or a related field. One year of experience as a Software Engineer or Developer or related that includes the following: 0-to-1 product development in building and shipping software from conception, navigating uncertainty and scaling from Minimum Viable Product (MVP) to production. Full-stack engineering, including front-end frameworks (React, TypeScript, or similar) and backend development (Python, Node.js, or similar). Industrial automation, predictive maintenance, process optimization, quality control, or smart factory technologies. AI/ML deployment, including integrating ML models into production applications using tools such as TensorFlow, PyTorch, or ONNX. Working with industrial data, including time-series sensor data, machine telemetry, and real-time control systems. Cloud and edge computing, including deploying applications on AWS, GCP, or Azure, and running AI models on edge devices. Salary: $136,000 – $160,000/year

Role: ML/AI Engineers (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(_) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. · Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. · Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. · Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. · Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. · Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. · Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What You’ll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Who is Sonar? Sonar helps prevent code quality and code security issues from reaching production, amplifies developers' productivity in concert with AI assistants, and improves the developer experience with streamlined workflows. Sonar analyzes all code, regardless of who writes it — your internal team, genAI, or third parties — resulting in more secure, reliable, and maintainable applications. Rooted in the open source community, Sonar’s solutions support over 30 programming languages, frameworks, and infrastructure technologies. Today, Sonar is used by +7M developers and 400K organizations worldwide, including the DoD, Microsoft, NASA, MasterCard, Siemens, and T-Mobile. We believe in developing great products that are supported by great internal teams and a strong culture. We are highly committed to and obsessed with the company, users, each other, and our open source community. We have high standards and hold each other accountable for acting with positivity, dedication, thoughtfulness, empathy, and passion daily. We are deliberate with our decisions with high clarity of intention. At the same time, we feel extreme urgency and move forward quickly. And lastly, we are highly effective and operationally efficient. We operate collectively as One Team to accomplish our goals. At Sonar, CODE is more than just an acronym – it's a mindset that defines daily operations. Why You Should Apply: At Sonar, we’re a group of brilliant, motivated, and driven professionals working hard to help supercharge developers to build better, faster. Sonar helps to continuously improve code quality and code security while reducing developer toil. This means that developers can focus on doing more of what they love and less of what they don’t. Our solutions don’t just solve symptoms of problems – we help fix issues at the source – for all code, whether it's developer-written, AI-generated, or from third parties. We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. Team members should be able to come to work every day, work on a product they are proud of, love what they do, and feel energized by their peers. With our roots deep in the open source community, we’re all about the mission: supercharge developers to build better, faster. The Impact You Will Have: As the Vice President of Data & AI, you will be the transformative force that turns our data into a strategic enterprise asset. Your vision will directly shape our competitive edge by fostering a data-first culture, driving the development of advanced AI and machine learning models to unlock new revenue streams, and dramatically improving operational efficiency. You will build and mentor a world-class team of data professionals, establishing the foundational data infrastructure and governance that empowers the entire organization to make smarter, faster, and more impactful decisions. Your leadership will be pivotal in defining not just our data strategy, but the future of our business. • Spearhead the company's entire Data & AI organization - encompassing data engineering, data science, machine learning, and analytics - to deliver transformative data products and AI-powered capabilities that drive business value., • Define and champion the company's comprehensive Data & AI strategy, establishing a clear vision for how data science, analytics, and machine learning will create a sustainable competitive advantage., • Own the architecture and roadmap for the company’s enterprise data platform, machine learning infrastructure (MLOps), and analytics ecosystem, ensuring robust scalability, reliability, and data integrity., • Serve as the executive data partner to the entire organization, collaborating with Product to embed AI into the user experience and with business leaders to foster a data-driven culture through actionable insights., • Establish and enforce a rigorous data governance framework, ensuring data quality, privacy, security, and compliance across the entire data lifecycle., • Implement and champion best practices in DataOps and MLOps to increase the velocity and reliability of data pipelines and model deployment. Foster a culture of rigorous experimentation and responsible AI development., • Build and scale a world-class organization of Data Scientists, ML Engineers, Data Engineers, and Analysts. Own the talent strategy for all data functions, from recruitment and retention to defining specialized career paths., • Mentor and develop a senior leadership team across the data and AI functions, building the technical and strategic capabilities required to solve the company's most complex challenges., • 15+ years of progressive experience in the engineering domain, with at least 8+ years in an international leadership capacity managing high-performing data engineering, data science, and/or machine learning teams., • A proven track record of delivering large-scale data platforms and productionized ML models that have resulted in significant, measurable business impacts (e.g., revenue growth, cost savings, enhanced user engagement)., • Deep technical expertise in the modern data and AI ecosystem, including cloud data platforms (e.g., Snowflake, Databricks, BigQuery), MLOps principles, ML frameworks (e.g., TensorFlow, PyTorch), and data orchestration technologies., • Exceptional communication and influencing skills, with the ability to articulate a compelling vision for data and AI and translate complex technical concepts into business value for an executive audience (C-suite, Board of Directors)., • Visionary leadership skills with the proven ability to recruit, mentor, and inspire a multi-disciplinary team of world-class data scientists, engineers, and analysts, fostering a culture of innovation, collaboration, and intellectual curiosity., • Expertise in establishing robust Data Governance and applying modern operational frameworks (DataOps, MLOps) to ensure data quality, compliance, and rapid, reliable delivery of data products and models., • Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness and embraces the right to fail (and get right back up again!)., • Great people make a great company. We value people skills as much as technical skills and strive to keep things friendly while still being passionate leaders in our domains., • We have a flexible work policy that includes 3 days in-office and 2 days work-from-home each week for those located near our office locations; some locations such as Dubai, India, Japan and Australia operate fully remotely., • We have a growth mindset. We love learning and believe continuous education is critical to our success. In an ever-changing industry, new skills are necessary, and we're happy to help our team acquire them., • As the leader in our field, our products and services are as strong as our internal team members., • We embrace transparency with regular meetings, cascading messages and updates on the growth and success of our organization., • We encourage usage of our robust time-off allocations with 27 PTO days for our employees based out of the Geneva region, plus additional days based on seniority and circumstances., • We contribute 60% of the total cost for your pension; 13.5% to 15.5% of your base salary for savings; 2% for risk., • Generous discretionary Company Growth Bonus, paid annually., • Commuting:Sustainable mobility options, including carpooling and the refund of 60% of the annual transportation subscription., • Global workforce with employees in 20+ countries representing 35+ unique nationalities., • We have an annual kick-off somewhere in the world where we meet to build relationships and goals for the company. We Value Diversity, Equity, and Inclusion: At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. All offers of employment at Sonar are contingent upon the precise results of a comprehensive background check and reference verification conducted before the start date. Applications that are submitted through agencies or third party recruiters will not be considered.