The Opportunity This is an exciting time at Enigma. We’re on the cusp of releasing our next generation of small business intelligence products built on years of learnings in the space. We are seeking an experienced Data Scientist to join our Entity Resolution team and help shape the trajectory of these products. Your work will directly impact the accuracy, scalability, and predictive capabilities of our data platform, influencing key business decisions for our customers. The Role Data is at the core of Enigma’s product, which makes data science the beating heart of what we ship. As a Data Scientist on the Entity Resolution Team, you will work in a cross-functional team alongside other data scientists, engineers, and business stakeholders. You will own problems end to end–from raw source data, through models and scalable pipelines, to the customer interface. Your impact will be measured by the contributions you make with your team to improve the accuracy of our data and the value of our product to our customers. What You’ll Do Translate customer goals into working solutions, using large-scale data transformation, sound statistics, and high-quality code. Most of our work is in Databricks (both Spark SQL + PySpark), supported by statistical tooling, and by ML/AI where the problem calls for it. Set a high standard for rigorous analysis and model development, grounded in sound statistical practice, so that results are high-quality and reproducible. Treat data as a reflection of the real world, and develop repeatable strategies for validating results against ground truth. Develop techniques to detect gaps in our data, find the source, and close them in a way that improves the product. Apply a data-focused, first-principles approach to problem solving. We value people who bias toward simple and elegant solutions, but who can implement state-of-the-art models and techniques when the problem requires it What Makes This Role Exciting? Technical challenge : Enigma
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The Opportunity This is a critical and exciting time at Enigma. Our customers consistently tell us that our data products create tremendous value and are deeply aligned with their most important workflows. As demand grows, we have an urgent opportunity to improve both the intelligence of our data and the systems through which customers access it. We are looking for an experienced Senior/Staff Machine Learning Engineer to join our Match Team and help shape the next generation of Enigma’s customer-facing data products. In this role, you will combine advanced statistical and machine learning research with the engineering systems required to power fast, relevant, and reliable search experiences at scale. This is a uniquely high-impact role sitting at the intersection of information retrieval, ranking systems, semantic search, distributed systems, and customer data delivery. The Role At the core of Enigma’s product is our data, which makes both data science and delivery systems central to what we build. As a Senior/Staff ML Engineer on the Match Team, you will lead efforts that improve the relevance, latency, and scalability of our customer-facing data products. You’ll work across the full lifecycle: framing retrieval and ranking problems, developing models and experimentation strategies, evaluating results using real-world signals, and implementing high-throughput search and retrieval systems. This role is ideal for someone who is excited by both hard ranking/search problems and the systems challenges of turning those solutions into low-latency, production-grade retrieval systems. What You'll Do Develop innovative solutions to complex problems in information retrieval, ranking, semantic search, query understanding, and recommendation systems Build and optimize low-latency, high-throughput search APIs, indexing pipelines, and retrieval systems using Python, Typesense, and AWS Evaluate and evolve our search technology stack, driving technical design decisions across index
Small Girls PR is looking for a Director of Influencer and PR with 7-8+ years of experience to manage overarching strategy and client relationships, concept novel initiatives that drive social virality and press headlines, manage deliverables for integrated campaigns, as well as oversee a team of talented junior staffers. This role will work with a wide range of creative and innovative brands across food & beverage, wellness, consumer tech, and more There is no one-size-fits-all for an SGPR client which means your career will be further enriched with meaningful and diversified experience. We've taken on the main stage at CES, announced Esusu as one of the first Black-owned tech unicorns, cheered on the powerful women of the WNBA with a well known ticketing platform, helped pet owners communicate with their dogs through a psychic for Rover, and piloted influencer marketing programs for B2B brands. This team concepted “Ring’s Great Ghost Search,” a lighthearted campaign calling on consumers to capture ghosts on their home cameras. By enlisting Stranger Things star Finn Wolfhard and an array of comedic influencers to participate, the campaign drove mass awareness and broad positive sentiment across earned media and social channels. Note: This role can be based in either our NYC or LA office, working two days a week in the office on a hybrid schedule. How you’ll make an impact: Drive long-term strategy and create tentpole campaigns for a range of clients on both retrainer and project-based engagements. You’ll manage expectations and set goals, timelines, and deliverables, with responsibility for meeting or exceeding client KPIs - both qualitative and quantitative. Originate out-of-the-box ideas that strengthen client’s marketplace positioning and earn attention - whether through press placements or through earned talkability above and beyond paid influencer deliverables. Collaborate across disciplines to create and execute integrated campaigns. Based on the cl
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