Machining engineer jobs in Lyndhurst, NJ

Construction QA/QC and Electrical Commissioning Engineer About the Role A Global Real Estate and Engineering firm is seeking a skilled Construction QA/QC and Electrical Commissioning Engineer to support mission-critical and data center projects. The role involves overseeing electrical quality assurance, system commissioning, and field testing across all project phases. The ideal candidate will possess strong technical acumen, excellent organizational skills, and the ability to work collaboratively with cross-functional teams in fast-paced environments. Key Responsibilities Lead and execute QA/QC and electrical commissioning programs in alignment with ASHRAE guidelines. Conduct system inspections, testing, and verification for electrical systems, including UPS, switchgear, generators, and EPMS. Develop and implement commissioning plans, checklists, and test scripts (functional and integrated systems tests). Perform design reviews, submittal reviews, and field inspections for conformance with specifications. Coordinate with contractors, engineers, and AHJs throughout project delivery. Develop and maintain commissioning documentation, SOPs, MOPs, and Systems Manuals. Utilize QA/QC and commissioning software such as BIM360, CxAlloy, and Facility Grid. Perform electrical testing and analyze results using tools such as PQMs, thermography, and ground testing equipment. Support the planning, scheduling, and reporting of commissioning progress and performance. Provide vendor training evaluation and system performance verification. Qualifications Bachelor's degree in Electrical Engineering or related technical field (ABET-accredited preferred). Minimum 10 years of relevant electrical engineering or field-testing experience, including 5 years in commissioning or QA/QC. Commissioning Professional certification preferred. PE or PMP designation is an asset. Proven expertise in testing and commissioning electrical power systems (UPS, ATS, STS, generators, PDUs, etc.). Strong analytical, communication, and leadership skills. Proficiency in MS Project, Word, and Excel. Demonstrated ability to consolidate and report project performance data. Experience in consultancy or owner's representative organizations is advantageous. Work Environment Field-based role with travel up to 50% across the U.S. Collaborative, high-performance team environment focused on mission-critical projects.

Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we're on a mission to inspire intimate connection to create a less lonely world. We're obsessed with understanding our users' behaviors to help them find love, and our success is defined by one simple metric- setting up great dates. With millions of users across the globe, we've become the most trusted way to find a relationship, for all. About the Role: The Dating Outcomes group is responsible for ensuring that people see their most compatible matches, helping them present themselves more effectively, and start meaningful conversations when they match. In short, we help people go on great dates! We are hiring Staff Machine Learning Engineers to help us build the foundations of an AI first dating experience using the latest advancements in the field, leveraging Hinge's years of preference data. You can expect to build recommendation systems end to end, experiment with using LLMs, photo and mixed input embedding models, as well as build and deploy real-time predictive models that directly impact the experience of millions of users. This is a fast-growing team, and you will have the opportunity to own and define the strategy, vision, and plan for accelerating machine learning at Hinge. Responsibilities * Own and contribute to foundational models that power our recommendations ecosystem. * Contribute to the research and development of models powering Hinge and experiment with the latest innovations in the field of Machine Learning (e.g., LLM agents, MMoE models, VAEs, etc.) * Design, advocate for, and implement solutions that ensure availability, scalability, operational excellence, and cost management, while delivering incremental impact to our daters. * Collaborate closely with other Machine Learning engineers, Product Managers, Data Engineers, and Scientists to understand our users' needs and identify opportunities to make their experience better through machine learning. * Mentor and educate Machine Learning Engineers on current and SOA research, technologies, and best practices of practicing machine learning at scale. What We're Looking For * Strong programming skills: Proficiency in languages like Python, Java, or C++ * System design & architecture: Proven track record of training and deploying large scale ML models, especially DNNs. Good understanding of distributed computing for learning, data processing, and inference. * Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, Databricks, KubeFlow, or W&B is a plus. * ML knowledge: Deep understanding of DNN architectures, track record of building, debugging, and fine-tuning models. Familiarity with PyTorch, TF, knowledge distillation, and recommender systems is a plus. * DevOps skills: The ability to establish, manage, and use data and compute infrastructure such as Kubernetes and Terraform. * Data engineering knowledge: Skills in handling and managing large datasets, including data cleaning, preprocessing, and storage. Deep understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow. * Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds. * Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation * Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes. * 4+ years of experience, depending on education, as a Machine Learning Engineer. * 2+ years of experience working in a cloud environment, such as GCP, AWS, or Azure, and with DevOps tooling, including Kubernetes. * 2+ years of experience designing and developing online and production grade machine learning systems. * 1+ year of experience leading projects with at least 1 other team member through completion. * A degree in computer science, engineering, or a related field. $201,000 - $262,000 a year 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 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.

Disney Entertainment & ESPN Technology On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that's evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. A few reasons why we think you'd love working for Disney Entertainment & ESPN Product & Technology: Building the future of Disney's media business: DE&E Technologists are designing and building the infrastructure that will power Disney's media, advertising, and distribution businesses for years to come. Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day - from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. The Commerce, Growth & Identity (CGI) team is dedicated to three business-critical areas at Disney that will help transform its media business. They create seamless user experiences for consumers who can choose from a wide range of subscription plans, enabling more choice and flexibility. The CGI team is also focused on building innovative and cutting-edge capabilities that will drive subscriptions, engagement, and monetization across Disney's streaming and digital products. Job Summary: We are looking for a passionate Principal Machine Learning Engineer to drive the security and operation anomaly detection initiatives within the Commerce Growth and Identity Business Unit. We are seeking experienced ML engineers to lead on developing and deploying machine learning models that help reduce the security and operation risk for our services. In this role, you'll work with teams across Commerce, Growth, and Identity to leverage machine learning solutions that enhance the security posture of our services. You will be a key leader helping drive the ML initiatives across the team. You will have an opportunity to learn about the various security challenges of a streaming organization. Responsibilities: Design, build, and optimize machine learning models that improve our security posture. Manage the full lifecycle of ML development, including data collection, feature engineering, model selection, evaluation, and production. Collaborate with engineers to deploy models at scale, ensuring robust A/B testing frameworks to assess the impact on key business metrics. Lead exploratory analyses and complex statistical modeling to deliver actionable insights that inform high-stakes business decisions. Translate complex data into clear and actionable insights through visualizations, reports, and presentations tailored to both technical and non-technical stakeholders. Drive data-informed decision-making by presenting findings that highlight security implications. Collaborate with other data teams to improve our data infrastructure, including models, visualizations, and experimentation capabilities. Mentor and grow a high-performing team of data scientists, creating an environment that encourages learning and innovation. Basic Qualifications: Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field of study, and/or equivalent work experience. Master's degree or PhD is a plus. 10+ years of experience in building, deploying, and evaluating real-world machine learning solutions. Proficiency in Python, R, SQL, and other relevant programming languages. Experience with data wrangling tools (e.g., Pandas, NumPy), databases (e.g., MySQL, PostgreSQL), and big data platforms (e.g., Spark, Databricks, Jupyter, Snowflake, Airflow, GitHub). Expertise in ML libraries such as scikit-learn, SciPy, and related technologies. Strong foundation in statistics, probability, and data modeling techniques. Excellent problem-solving, communication, and collaboration skills. Preferred Qualifications: Experience working with Amazon Web Services. Experience with Tableau, Power BI, or similar platforms. Experience building anomaly detection models. Knowledge of software security. The hiring range for this position in New York is $212,600 to $285,100 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting Segment: Product Engineering Job Posting Primary Business: PE - Commerce & Identity Primary Job Posting Category: Machine Learning Employment Type: Full time Primary City, State, Region, Postal Code: New York, NY, USA Alternate City, State, Region, Postal Code: Date Posted: 2025-04-25

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers. Partnering with the business units, the candidate will be building various products that address challenging business problems through our customers' full lifecycle, from customer analytics to marketing media optimization. By using statistical and econometric methods, predictive models, experimental design methods, and optimization techniques, the candidate will be working on the research and development of exciting projects like attribution, media mix modeling, budget optimization, personalization, causal analysis, time series analysis. Ideal candidates will have a strong academic background as well as technical skills including applied statistics, machine learning, data mining, and software development. Familiarity with working with large-scale datasets and big data techniques would be a plus. What You'll Do * Develop predictive models on large-scale datasets to address various business problems with advanced statistical modeling, machine learning, and analytics techniques. * Develop and implement scalable and efficient modeling algorithms that can work with large-scale data in production systems * Collaborate with product management and engineering groups to develop new products and features. What You Need to Succeed * PhD or MS in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required * 0-2+ years of experience in specific skill/field(s) * Deep understanding of statistical modeling, machine learning, deep learning, or data mining concepts, and a track record of solving problems with these methods. * Proficient in one or more programming languages such as Python, Scala, Java and C * Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn * Knowledge and experience of working with relational databases and SQL * Strong analytical and quantitative problem-solving ability. * Excellent communication, relationship skills and a strong team player. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $102,400 -- $202,250 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $139,700 - $202,250 In New York, the pay range for this position is $139,700 - $202,250 In Washington, the pay range for this position is $127,700 - $185,000 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

Machine Learning Engineer Who You'll Work With As a modern technology company, our Slalom Technologists are disrupting the market and bringing the art of the possible to life for our clients. We have a passion for developing strategies, solutions, and creative products to help our clients address their most complex and challenging business problems. We surround our technologists with interesting challenges, innovative minds, and emerging technologies. Slalom's Global AI capability focuses on next-level AI and Machine Learning solutions for clients. You'll join a diverse team of engineers, data scientists, and AI thought leaders. We work across modern AI platforms, develop innovative AI solutions, and collaborate with our technology partners to drive their products into the future. Slalom is targeting candidates at the Consultant or Senior Consultant level for this role What You'll Do * Provide support from sales through delivery, understanding our clients' business challenges, and suggesting robust AI/ML solutions * Apply Machine Learning, Deep Learning, and other relevant technologies to assist in building AI tools that solve real business problems * Assist in the design, development, presentation, and delivery of traditional ML solutions in areas such as Computer Vision, NLP, Recommendation Systems, etc. * Stay updated on fundamental AI/ML concepts and emerging trends to contribute to solution discussions and development * Support the team in creating pricing strategies, go-to-market plans, and identifying potential partnerships to promote the adoption of AI/ML * Contribute to the growth of the AI/ML community within the organization through learning, mentoring, and sharing knowledge What You'll Bring * Strong consultative and communication skills, and the ability to convey complex technical concepts to diverse stakeholders * Solid technical foundation, combined with constant curiosity to stay on the creative edge of ML/AI solutions * Technical and conversational fluency in AI, GenAI, Machine Learning, and at least one of the major clouds (AWS, GCP, Azure), and data platforms (Databricks and Snowflake) * Hands-on experience with RAG, agentic workflows, fine-tuning, or other LLM-based techniques * Experience putting ML/AI into production, and ability to talk through best practices and pitfalls, including Infrastructure as code frameworks, Docker, and CI/CD as part of MLOps/AIOps * Understanding of validation frameworks for AI and ML tools, with knowledge of the production-ready offerings on the market for AI validation * Excellent Python, especially for ML/AI use cases * Software engineering and/or application development background, especially in one of the major clouds About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.

We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction. Our ML team is full of people with a shared love for the craft of software engineering, and for designing APIs and systems that are delightful to use. We'll rely on your in-depth knowledge of the ML ecosystem and understanding of varying approaches - whether it's neural networks, random forests, gradient-boosted trees or sophisticated ensemble methods - to aid decision-making so we apply the right tool for the problem at hand. Your work will also focus on enhancing research workflows to tighten our feedback cycles. Successful ML engineers will be able to understand the mechanics behind various modelling techniques, while also being able to break down the mathematics behind them. If you've never thought about a career in finance, you're in good company. Many of us were in the same position before working here. While there isn't a fixed list of qualifications we're looking for, if you have a curious mind and a passion for solving interesting problems, we have a feeling you'll fit right in. We're looking for someone with: Experience building and maintaining training and inference infrastructure, with an understanding of what it takes to move from concept to production A strong mathematical background; Good candidates will be excited about things like optimisation theory, regularisation techniques, linear algebra and the like A passion for keeping up with the state of the art, whether that means diving into academic papers, experimenting with the latest hardware or reading the source of a new machine learning package A proven ability to create and maintain an organised research codebase that produces robust, reproducible results while maintaining ease of use Expertise wrangling an ML framework - we're fans of PyTorch, but we'd also love to learn what you know about Jax, TensorFlow or others An inventive approach and the willingness to ask hard questions about whether we're taking the right approaches and using the right tools Fluency in English If you're a recruiting agency and want to partner with us, please reach out to ********************************** .

Job Description Senior Machine Learning Engineer - up to $200k base + equity We accelerate the deployment of climate tech solutions by providing clients with industry leading insights, data, analytics, and research on both technologies and markets. Our subscription intelligence platform gives investors, corporates, and governments the insights they need to anticipate developments and to confidently build and finance the new climate economy. We produce the industry-leading newsletter read by 60,000 climate leaders. We are looking for a Senior Machine Learning Software Engineer to join our engineering team. As a Senior ML Software Engineer, you will design, develop and implement software solutions across our machine learning and data stack, and play a crucial role in delivering insights into the new climate economy to investors, corporates, and governments mobilizing strategies in the climate transition. Our ideal candidate has a strong technical background and a willingness to “wear many hats”, learn new skills, and take the initiative to develop new features as needs arise. The Role Collection - Implement web scraping and other collection techniques to increase the speed, efficiency, and breadth of data collection. Processing - Implement AI, natural language processing, and machine learning models to extract, classify, and transform data. Infrastructure - Assist in developing and maintaining our internal data server and web interface. This will include developing new features for data entry and validation of AI-generated data. Analysis - Analyze the performance of the machine learning and data stack to identify opportunities to improve coverage and accuracy. The Essentials 5+ years experience as a Software Engineer, Machine Learning Engineer, Data Engineer or equivalent Deep expertise in Python development Experience in machine learning / natural language processing Proven history developing and maintaining production-grade software A passion for addressing the climate crisis through high quality research and data Interest in working for a fast-moving startup with a small, international team A BSc degree in Computer Science, Engineering or other relevant field A Plus Experience using Django and AWS A successful history of manipulating, processing and extracting value from datasets Experience working with Jira / Agile framework Experience using Bitbucket Pipelines Working understanding of climate tech sectors Our Offer Opportunity to work and learn at a fast-growing climate tech startup Hybrid office based in New York Generous base salary + stock options Flexible working hours 20 days PTO + federal holidays Health coverage and 401(k)

Dandy is transforming the massive and antiquated dental industry-an industry worth over $200B. Backed by some of the world's leading venture capital firms, we're on an ambitious mission to simplify and modernize every function of the dental practice through technology. As we expand our reach globally, Dandy is building the operating system for dental offices around the world-empowering clinicians and their teams with technology, innovation, and world-class support to achieve more for their practices, their people, and their patients. About the Role In the past 3 years, Dandy has built the leading digital-first custom dental appliance manufacturer. As we go through our next level of scale, Dandy is building a world class Machine Learning & Computer Vision team to enhance our 3D dental platform and automate many of the human-driven processes in our manufacturing today. The global, remote team tackles problems involving 3D geometric computer vision, generative deep learning, and SOTA machine learning methods. As a part of this newly created team, you will play a key role in laying the foundation that will drive the team's success. You will establish best practices, solve ambiguous data problems that have never been solved before with industry wide impact, and be given the freedom to innovate. What You'll Do Build machine learning models to extract structure from unstructured, information-dense 3D scans as well as other sensory data in dentistry Research SOTA methods for developing models to accomplish 3D generative AI tasks as well as conventional computer vision tasks. Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines Work with massive datasets to develop both generic models as well as fine tune models for specific applications Develop evaluation methods which allow us to establish confidence in our datasets and models Implement best practices for our MLOps pipelines Work closely with product owners on a feature focused team to deliver value quickly to Dandy's customers What We're Looking For 3+ years experience, 2+ in Machine Learning Extensive experience in Python Extensive experience with either PyTorch or Tensorflow Have immaculate attention to detail and take pride in delivering excellent code and results Masters or PhD in related field Experience in SOTA 2D deep learning and/or experience with 3D deep learning is a plus Experience with 3D geometric Computer Vision is a plus For full-time positions, Dandy offers a wide range of best-in-class, comprehensive, and inclusive benefits tailored to each country where we operate. Our local benefits packages typically include healthcare, dental, mental health support, parental planning resources, retirement savings options, and generous paid time off-ensuring our team members are supported no matter where they live and work. Dandy is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics. Dandy also fully complies with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals. If you require any accommodations for your interview or have any questions beforehand, rest assured that we will do everything we can to meet your needs. Visit Dandy Careers for more!

We are looking for a Senior Machine Learning Engineer to support our Databricks-native (i.e., Databricks Workflows, Delta Live Tables, Databricks Asset Bundles, Unity Catalog, etc.) machine learning and AI platform. In this role you will operationalize production-grade machine learning and AI models, manage deployments, and ensure robust monitoring and governance. In addition to solid technical skills, this role requires strong communication across functions, including data scientists, data engineers, and product managers; ability to drive clarity from requirements; and active participation and sense of ownership of end-to-end design, implementation, and testing of complex ML and AI workflows in a collaborative team environment. Responsibilities: * Manage and support ML and AI model lifecycle using Databricks and MLflow: training, tracking, packaging, deployment, monitoring, agentic AI safety and generative AI guardrails. * Automate and optimize model deployment pipelines for batch and real-time use cases. * Collaborate with data scientists to productionize models, ensuring scalability, reproducibility, and reliability. * Implement CI/CD pipelines for ML and AI workflows, including testing, version control, and rollback strategies. * Monitor deployed models for performance drift, data quality, and SLA adherence. * Support governance and compliance requirements: model registry usage, auditability, reproducibility). * Troubleshoot and resolve issues related to model training, deployment, and integration with downstream systems. * Provide operational support for Databricks Workflows, Jobs, and Delta Lake integration. * Document processes, automation frameworks, and operational runbooks. * Bring best practices to bear on the team's products and educate the team members. Salary Range: $110,000 to $140,000 (plus bonus)

At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence. If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. About the Role: As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation. We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other's words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! As a Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook's wealth of structured and unstructured data including reports, news, and other textual content. This role requires deep technical expertise in advanced data analytics and machine learning, as well as a hands-on approach to designing, building, and optimizing ML solutions that power user-facing features on the PitchBook Platform. You will be deeply involved in the end-to-end development and operationalization of ML models, including their architecture, training, deployment, and ongoing maintenance. Your focus will span across natural language processing (NLP), generative AI (GenAI), large language models (LLMs), and scalable data systems. You will be expected to tackle complex technical challenges, contribute to architectural decisions, and collaborate closely with other engineers, data scientists, and product managers to ensure that your work aligns with business goals and AI/ML strategy. Your contributions will help unlock unique value for PitchBook customers by improving the speed, discoverability, quality, and quantity of insights available on the platform. This includes developing models that can infer meaning and structure from millions of discrete data sources and applying ML to enrich our datasets with predictive and generative intelligence. Primary Job Responsibilities: Deliver high-impact AI and ML capabilities that drive insight generation on the PitchBook Platform. Ensure your work contributes to broader business goals and is aligned with the team's strategic priorities Provide hands-on expertise in designing, building, and deploying AI/ML models and services with a focus on NLP, summarization, semantic search, classification, and prediction. Contribute to the development of scalable, high-performance systems that meet production-grade reliability and efficiency standards Contribute to a culture of technical excellence by sharing knowledge, pairing with teammates, and actively participating in code and design reviews. Provide situational guidance to junior engineers and contribute to team best practices Build and optimize models that leverage classifiers, transformers, LLMs, and other NLP techniques to generate meaningful insights from structured and unstructured data. Integrate these models into the broader AI/ML infrastructure in collaboration with partner teams Collaborate with engineering, product management, and data collection teams to ensure models are informed by high-quality data and support strategic product goals Explore and experiment with emerging technologies, methodologies, and tools in the fields of GenAI, NLP, and search. Translate research findings into practical solutions that enhance PitchBook's AI capabilities Contribute to best practices in model transparency, monitoring, evaluation, and compliance. Help maintain high standards of security, data integrity, and responsible AI use across your projects Participate in the technical evaluation of candidates and help onboard new team members by contributing to documentation, pairing, and knowledge-sharing practices Apply principles from Agile, Lean, and Fast-Flow methodologies to support efficient model development and deployment cycles Support the vision and values of the company through role modeling and encouraging desired behaviors Participate in various company initiatives and projects as requested Skills and Qualifications: Bachelor's degree in Computer Science, Mathematics, Data Science, or related technical field, advanced degrees are preferred 2+ years of experience in software engineering or machine learning engineering, with a strong focus on AI/ML applications in insight generation, summarization, semantic search, and prediction Demonstrated expertise in natural language processing (NLP) and machine learning, including hands-on experience with classifiers, transformer models, large language models (LLMs), and widely used ML and data science libraries such as scikit-learn, pandas, numpy, TensorFlow, and PyTorch Experience delivering production-grade GenAI or LLM-based systems with measurable business impact Familiarity with the LangChain ecosystem, including tools such as LangSmith and LangGraph, and experience using them in production environments is a strong plus Proficiency in building and maintaining scalable data pipelines and distributed systems using technologies such as Apache Kafka, Airflow, and cloud data platforms like Snowflake Strong programming skills in Python and SQL, with working knowledge of additional languages such as Java or Scala considered a plus Practical experience with cloud-native development, containerization, and orchestration technologies such as Docker and Kubernetes Demonstrated ability to solve complex technical problems, contribute to architectural decisions, and deliver high-performance, reliable solutions Excellent communication and collaboration skills, with experience working cross-functionally with product managers, engineers, and data scientists in globally distributed teams Experience working in fast-paced, data-driven environments. Prior exposure to fintech or financial data platforms is a strong advantage Experience authoring research papers for peer-reviewed AI/ML conferences (e.g., NeurIPS, ICML, ACL) and participating in the broader AI research community is strongly preferred Must be authorized to work in the United States without the need for visa sponsorship now or in the future Benefits + Compensation at PitchBook: Physical Health Comprehensive health benefits Additional medical wellness incentives STD, LTD, AD&D, and life insurance Emotional Health Paid sabbatical program after four years Paid family and paternity leave Annual educational stipend Ability to apply for tuition reimbursement CFA exam stipend Robust training programs on industry and soft skills Employee assistance program Generous allotment of vacation days, sick days, and volunteer days Social Health Matching gifts program Employee resource groups Subsidized emergency childcare Dependent Care FSA Company-wide events Employee referral bonus program Quarterly team building events Financial Health 401k match Shared ownership employee stock program Monthly transportation stipend *Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. Compensation Annual base salary: $125,000-$180,000 Target annual bonus percentage: 10% Working Conditions: At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments-those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices-that simply can't be replicated remotely. This role is expected to be in the office 5 days a week. The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events. Life At PB: We are consistently recognized as a Best Place to Work and our culture is at the heart of our success. It's our fundamental belief that people do and create great things and that people are the cornerstone of prosperity. We believe that proactively seeking out different points of view, listening to others, learning, and reflecting on what we've heard creates a sense of belonging within PitchBook and strengthens the PitchBook community. We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook. #LI-MS1 #LI-Onsite

* Previous experience as a robotics engineer or similar role * Well-versed in computer science, applied physics, and mechanics * Excellent knowledge of CAD/CAM software * Knowledge of cost, efficiency, and productivity optimization methods * Ability to develop and evaluate integrated systems * An analytical mind * Resourcefulness * Outstanding communication skills * Degree in Engineering, Computer Science or similar field What we expect from you ? * Masters or Bachelor in CIS/ Engineering / Science / Mathematics / Statistics/ Design …etc . * Should be Mexican Citizen eligible for TN visa sponsorship * Should have hands on years' experience in any one of the above technology . * Willing to relocate anywhere in USA. * Excellent Communication Skills. Job Category: Engineer Job Type: Full Time Job Location: NJ

Job Description We are seeking a Senior Robotics Engineer to lead advances in perception, sensor fusion, and sensor calibration that directly impact the growth and success of our business. As we expand, your role will evolve to meet new challenges and priorities. Key Responsibilities: Lead SLAM development to improve product quality and consistency across diverse operating conditions, including GPS-degraded environments. Enhance sensor fusion and calibration processes by integrating multi-user, multi-session point cloud maps and automating LiDAR and imagery alignment for consistent large-scale scene generation. Drive scalability and reliability by eliminating the need for extrinsic sensor measurements in the field and proactively identifying and correcting data quality issues. Collaborate closely with a mission-driven team of robotics and enterprise software experts to revolutionize fieldwork in the energy sector. Develop and implement perception solutions, focusing on LiDAR, sensor fusion, and SLAM mapping for building accurate environmental maps. Required Experience & Qualifications: 4+ years of experience in perception and mapping in robotics. Proven background working with mobile platforms such as cars, drones, or robots performing large-scale mapping using LiDAR and other sensors. Hands-on experience with systems integration-understanding how cameras, sensors, vehicles, and perception software work together. Experience with SLAM solutions involving ground-based LiDAR and extensive sensor calibration (intrinsic and extrinsic), including automated data-driven techniques. Proficiency in multimodal sensor fusion and working with ultra-wide-angle cameras. Track record of succeeding on small, fast-moving engineering teams. Technical Skills: Strong proficiency in C++ and Python. Deep expertise in SLAM, sensor calibration, and sensor fusion techniques. Soft Skills: Mission-first mindset focused on delivering strong customer and business outcomes. Curiosity and adaptability with a willingness to learn and pivot as needed.

Radical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The Opportunity As a Roboticist at Radical AI, you'll build intelligent robotic systems for a fully autonomous materials discovery lab. Your focus will span path planning, perception, control, and manipulation-enabling mobile robots and 6DOF arms to safely and reliably perform complex tasks in dynamic lab environments. You'll work with ROS 2, Nav2, MoveIt, and simulation platforms like Isaac Sim to develop, test, and deploy robust autonomy stacks. Your code will control real robots that move through physical space, handle experimental materials, and bridge the sim2real divide in a highly interdisciplinary setting. You are a robotics engineer with hands-on experience in perception, motion planning, and control for both mobile robots and manipulators. You think in terms of both software architecture and physical behavior. You're comfortable with simulation tools and robotic middleware, and you've deployed code that controls real-world systems safely and autonomously. You may not have done all of the following, but the prospect of learning and owning these technologies excites you. About You Proficiency with ROS2 and related frameworks like Nav2 and MoveIt Experience with autonomous mobile robots (AMRs), including localization, obstacle avoidance, and navigation Hands-on integration of 6DOF robotic arms, including motion planning and execution Strong foundation in path planning, trajectory generation, and controls Familiarity with computer vision with tasks such as object detection, pose estimation, and fiducial tracking Comfort with simulation environments such as IsaacSim, Gazebo, or MujoCo Understanding of sim2real challenges and strategies for bridging that gap Skilled in C++ and/or Python for real-time, hardware-adjacent development Pluses Experience with multi-robot systems or coordination Familiarity with task planning, behavior trees, or symbolic reasoning Exposure to lab automation protocols or experimental R&D environments Prior contributions to open-source robotics tools or frameworks Deployment of robotic systems in production or high-availability settings (e.g. industrial automation) What we offer: A competitive compensation package also includes the best in benefits: Medical, dental, and vision insurance for you and your family Mental health and wellness support Unlimited PTO and 14+ company holidays per year 401K Work closely with a team on the cutting edge of AI research. A mission: an opportunity to fundamentally change the way humanity makes progress through materials science discovery. $200,000 - $250,000 a year + Equity + Benefits; base pay offered may vary depending on job-related knowledge, skills, and experience. Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

An innovative robotics company is looking to add a Robotics Engineer to its growing team. This role focuses on integrating, configuring, and optimizing robotic systems for deployment in real-world environments. You'll be at the forefront of automation, working hands-on with hardware and software to ensure reliable performance and seamless operation. Key Responsibilities: Set up, test, and integrate robotic systems for customer applications Collaborate with engineering and support teams to fine-tune performance Diagnose and resolve hardware and software issues during installation and field operation Conduct validation tests to verify system performance against project specs Deliver technical support and training to end users on-site Maintain documentation and logs related to system integration and field activity Qualifications: Bachelor's degree in Robotics, Mechatronics, Engineering, or a related discipline Direct experience with robotic systems, automation platforms, or system integration Strong technical troubleshooting and analytical skills Comfortable working both independently and in fast-paced, collaborative environments Open to travel as needed for system installations and customer support If you're passionate about robotics and ready to bring automation to life, we'd love to connect with you. US Citizenship or Green Card holder required.

Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we're on a mission to inspire intimate connection to create a less lonely world. We're obsessed with understanding our users' behaviors to help them find love, and our success is defined by one simple metric- setting up great dates. With millions of users across the globe, we've become the most trusted way to find a relationship, for all. About the Role: The Dating Outcomes group is responsible for ensuring people see their most compatible matches, helping them better present themselves, and even starting a conversation when they match with someone. In short, we help people go on dates! We are hiring ML practitioners to help us build the foundations of an AI first dating experience using the latest advancements in the field leveraging Hinge's years worth of preference data. You can expect to work on recommendation systems end to end, experiment with using LLMs, photo and mixed input embedding models as well as building and deploying real time predictive models that directly impact millions of users' experience. This is a fast-growing team and you will get a chance to own and define the strategy, vision, and plan for how to accelerate machine learning at Hinge. Responsibilities * Own and contribute to foundational models (e.g. CLIP embeddings) that powers our recommendations pipelines. * Contribute to the research and development of recommender models as well experiment with the latest ML innovations (e.g. LLM agents and transcription models) * Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters incrementally. * Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process. * Mentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scale. * Perform other job-related duties as assigned. What We're Looking For * Strong programming skills: Proficiency in languages like Python, Java or C++ * System design & architecture: Proven track record of training and deploying large scale ML models specially DNNs. Good understanding of distributed computing for learning and inference. * Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow or W&B is a plus. * ML knowledge: Deep understanding of DNN architectures, track record of building, debugging and fine tuning models. Familiarity with PyTorch, TF, knowledge distillation, recommender systems are a plus. * Dev-ops skills: The ability to establish, manage, and use data and compute infrastructure such as Kubenetes and Terraform. * Data engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage. Deep understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow. * Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.. * Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation * Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes. * 3+ years of experience, depending on education, as an MLE. * 2+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes * 1+ year of experience leading projects with at least 1 other team member through completion. * 2+ years of experience for designing and developing online and production grade ML systems. * A degree in computer science, engineering, or a related field. $162,000 - $210,000 a year 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 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.

About the Program Our Machine Learning Engineering Internship is designed to give you a real sense of what it's like to work at Jane Street full-time as a Machine Learning Engineer. Over the course of your program, you will explore ways to approach and solve cutting-edge ML problems through fun and challenging classes, interactive sessions, and group discussions-and then you will have the chance to put those lessons to practical use. Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques. You will be paired with full-time employees who act as mentors, collaborating with you on real-world ML projects we actually need done. When you're not working on your project, you will have plenty of time to enjoy our office amenities, explore our physical and virtual educational resources, attend guest speakers and social events, and engage with the parts of our work that excite you the most. If you've never thought about a career in finance, you're in good company. Many of us were in the same position before working here. If you have a curious mind, a collaborative spirit, and a passion for solving interesting problems, we have a feeling you'll fit right in. Learn more about Jane Street's internship program here . About the Position Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction. If you'd like to learn more, you can have a look at our Machine Learning page. During the program, you'll work on projects mentored closely by the full-time employees who designed them. Some projects consider big-picture questions that we're still trying to figure out, while others involve building something new. You will get access to our growing GPU cluster containing thousands of H100/H200/B200s and gain an understanding of the differences between textbook machine learning and its application to noisy financial data. The interview process follows the same structure as our Software Engineering Intern interviews, with one key addition: after your initial technical coding interview over Zoom, you'll have an on-site interview with 2-4 technical rounds, including one dedicated to assessing ML engineering skills. About You We don't expect you to have a background in finance-we're more interested in how you think and learn than what you currently know. You should be: An undergraduate or PhD student with practical experience training an ML model, working on an ML library, or optimizing an ML workflow A top-notch programmer with a love for technology Intellectually curious, collaborative, and eager to learn Humble and unafraid to ask questions and admit mistakes If you're a recruiting agency and want to partner with us, please reach out to **********************************.

At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence. If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. About the Role: As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation. We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other's words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! PitchBook's Associate Machine Learning Engineer is responsible for using machine learning, statistical modeling, and Natural Language Processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets. This role requires curiosity and a strong desire to learn. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team. Primary Job Responsibilities: Use natural language processing (NLP) and machine learning techniques to create novel views of private industry data Analyze and extract features from large amounts of unstructured data, determine most relevant features, and use clustering algorithms to drive insight into the data Analyze textual data such as articles and conversations to identify novel signals of private company performance Work closely with Product and Engineering teams to establish scalable, efficient, and automated processes for large scale data analyses and models Contribute to thought leadership on Data Science and Machine Learning best practices by staying informed of current trends in industry Support the vision and values of the company through role modeling and encouraging desired behaviors Participate in various company initiatives and projects as requested Skills and Qualifications: Bachelor's degree in Computer Science, Machine Learning, Statistics, or related field Experience in a similar role in a production environment Experience or exposure with natural language processing (NLP) Experience or exposure with Python, R, or other relevant programming frameworks Experience or exposure in using SQL for data extraction Strong communication and data presentation skills Strong problem-solving ability Ability to communicate complex analysis in a clear, precise, and actionable manner Experience working closely a with software development team(s) a plus, but not required Financial services, investment, banking, venture capital and/or private equity knowledge, but not required Must be authorized to work in the United States without the need for visa sponsorship now or in the future Benefits + Compensation at PitchBook: Physical Health Comprehensive health benefits Additional medical wellness incentives STD, LTD, AD&D, and life insurance Emotional Health Paid sabbatical program after four years Paid family and paternity leave Annual educational stipend Ability to apply for tuition reimbursement CFA exam stipend Robust training programs on industry and soft skills Employee assistance program Generous allotment of vacation days, sick days, and volunteer days Social Health Matching gifts program Employee resource groups Subsidized emergency childcare Dependent Care FSA Company-wide events Employee referral bonus program Quarterly team building events Financial Health 401k match Shared ownership employee stock program Monthly transportation stipend *Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. Compensation Annual base salary: $110,000-$150,000 Target annual bonus percentage: 7.5% Working Conditions: At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments-those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices-that simply can't be replicated remotely. This role is expected to be in the office 5 days a week. The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events. Life At PB: We are consistently recognized as a Best Place to Work and our culture is at the heart of our success. It's our fundamental belief that people do and create great things and that people are the cornerstone of prosperity. We believe that proactively seeking out different points of view, listening to others, learning, and reflecting on what we've heard creates a sense of belonging within PitchBook and strengthens the PitchBook community. We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook. #LI-MS1 #LI-Onsite

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: The Dating Outcomes group is responsible for ensuring that people see their most compatible matches, helping them present themselves more effectively, and start meaningful conversations when they match. In short, we help people go on great dates! We are hiring Staff Machine Learning Engineers to help us build the foundations of an AI first dating experience using the latest advancements in the field, leveraging Hinge's years of preference data. You can expect to build recommendation systems end to end, experiment with using LLMs, photo and mixed input embedding models, as well as build and deploy real-time predictive models that directly impact the experience of millions of users. This is a fast-growing team, and you will have the opportunity to own and define the strategy, vision, and plan for accelerating machine learning at Hinge.Responsibilities Own and contribute to foundational models that power our recommendations ecosystem. Contribute to the research and development of models powering Hinge and experiment with the latest innovations in the field of Machine Learning (e.g., LLM agents, MMoE models, VAEs, etc.) Design, advocate for, and implement solutions that ensure availability, scalability, operational excellence, and cost management, while delivering incremental impact to our daters. Collaborate closely with other Machine Learning engineers, Product Managers, Data Engineers, and Scientists to understand our users' needs and identify opportunities to make their experience better through machine learning. Mentor and educate Machine Learning Engineers on current and SOA research, technologies, and best practices of practicing machine learning at scale. What We're Looking For Strong programming skills: Proficiency in languages like Python, Java, or C++ System design & architecture: Proven track record of training and deploying large scale ML models, especially DNNs. Good understanding of distributed computing for learning, data processing, and inference. Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, Databricks, KubeFlow, or W&B is a plus. ML knowledge: Deep understanding of DNN architectures, track record of building, debugging, and fine-tuning models. Familiarity with PyTorch, TF, knowledge distillation, and recommender systems is a plus. DevOps skills: The ability to establish, manage, and use data and compute infrastructure such as Kubernetes and Terraform. Data engineering knowledge: Skills in handling and managing large datasets, including data cleaning, preprocessing, and storage. Deep understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow. Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds. Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes. 4+ years of experience, depending on education, as a Machine Learning Engineer. 2+ years of experience working in a cloud environment, such as GCP, AWS, or Azure, and with DevOps tooling, including Kubernetes. 2+ years of experience designing and developing online and production grade machine learning systems. 1+ year of experience leading projects with at least 1 other team member through completion. A degree in computer science, engineering, or a related field. 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 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.

We're looking for a hands-on Cybersecurity Engineer to join our Cybersecurity team to strengthen the security posture of our applications, data, infrastructure, and processes. The role combines both hands-on technical expertise to uncover and remediate vulnerabilities and people skills to partner with various teams across the firm, guide teams to analyze the security implications of design decisions and guide them to build security into their applications from the ground up. The role will leverage your hands-on offensive background to identify threats and require you to dive deep into the technical details and help build tailored security solutions and develop creative approaches to complex challenges. This role will require practical threat modeling skills and the ability to translate security principles into concrete architectural improvements. The role also involves having conversations with system owners who understand their applications but may not recognize potential exploits, partnering with them to identify and help resolve vulnerabilities, and balancing tradeoffs between security controls and business requirements. As a member of the Cybersecurity team, you'll join a skilled group of programmers and security experts dedicated to keeping the firm safe. Our work covers a wide range of topics, from software engineering and DevOps to risk analysis, security governance, and cyber awareness. About You Offensive security background Can help build and implement secure solutions from the ground up Equally comfortable breaking down complex problems on a whiteboard and taking a hands-on approach to problem-solving and troubleshooting Skilled at evaluating security tradeoffs and making risk-based decisions An excellent communicator who thrives on talking to people and building relationships; a collaborative mindset is a must Ability to teach others and transfer knowledge about threat modeling Strong Linux background - you know your way around a terminal and are confident in your scripting ability Comfortable taking accountability and able to document your decision-making rationale Proficiency in any programming language is a plus Fluency in English required If you're a recruiting agency and want to partner with us, please reach out to **********************************.