Set technical vision and strategy for foundational model and user understanding roadmap.
Collaborate cross-functionally with vertical customer, horizontal signal, and infrastructure teams.
Lead and mentor a high-performing ML team, driving technical execution from ideation to deployment.
Reddit is a community of communities built on shared interests, passion, and trust, hosting open and authentic conversations. With 100,000+ active communities and approximately 130 million daily active unique visitors, it is one of the internet's largest sources of information.
Define and execute a comprehensive data strategy for AI model training, simulation, and production deployment in safety-critical autonomous systems.
Own the end-to-end data pipeline from raw collection and labeling through curation, versioning, and delivery at scale.
Build and maintain data flywheels and lead a team of data and infrastructure engineers.
Merlin is a publicly traded aerospace and defense company building the Merlin Pilot, a non-human pilot system delivering full-stack autonomy for any aircraft. Headquartered in Boston, Merlin is a small, innovative, and team-focused startup-like environment that supports professional development.
Lead and support a senior team of Data Scientists and Machine Learning Engineers, driving career development and growth.
Partner with Product Management and Decision Science to shape the product roadmap and define success metrics.
Design, build, and deploy machine-learning pipelines for modeling jobseeker behavior and marketplace dynamics.
ZipRecruiter is a leading online employment marketplace powered by AI-driven smart matching technology. The company actively connects millions of businesses and job seekers through innovative mobile, web, and email services, with the #1 rated job search app.
Own end-to-end ML systems from data and training to evaluation, inference, and deployment.
Build and evolve training, fine-tuning, and inference infrastructure for large models.
Partner with research and application engineering to turn model capabilities into product improvements.
Next Step Systems is an IT recruiting and staffing agency that connects companies with machine learning and technology talent. They specialize in placing candidates in remote and on-site roles across the United States and emphasize a fast-paced, results-oriented culture.
Design, build, and productionize machine learning and agentic AI functionality.
Partner with product engineering squads to embed AI capabilities into Arkestro's product.
Contribute to AI/ML architecture decisions and own evals and ground truth for your projects.
Arkestro's Predictive Procurement Platform applies AI, game theory, and behavioral science to enterprise negotiations, helping teams move from reactive supplier bidding to data-driven offers. It is a hyper-growth, remote-first startup with a collaborative culture focused on meaningful work and significant impact.
Own planning and delivery of the technical roadmap, leading backend, full stack, and QA engineers.
Optimize data pipelines, system performance, and reliability while managing technical risks.
Drive architecture modernization, reduce technical debt, and ensure clear documentation and knowledge sharing.
SplitMetrics builds growth solutions for mobile-first businesses with Apple Ads automation, A/B testing, and ASO tools. The remote-first team spans 20+ countries and values transparency, speed, and shared ownership.
Provide hands-on technical leadership for building open-source infrastructure supporting federated AI and privacy-preserving technologies.
Lead architectural decisions, production readiness, and engineering best practices for a specialized squad.
Mentor engineers and collaborate with product leadership to deliver scalable, secure, and maintainable systems.
The company is a mission-driven nonprofit building open-source infrastructure for federated AI and privacy-preserving technologies. It operates as a remote-first, globally distributed team with a highly collaborative, diverse culture.
Own the multi-year technical strategy for Data Labs, mapping AI training trends into a roadmap for benchmarking and data pipelines.
Lead engineering managers, FDEs, and Staff+ ICs, building a rigorous, client-focused engineering culture.
Partner with research, product, and commercial teams to shape offerings and advise clients.
Invisible Technologies makes AI work through an end-to-end platform that structures data, automates workflows, and integrates human expertise. Profitable for half a decade, we hit $134M revenue and ranked #2 fastest growing AI company on the 2024 Inc. 5000.
Design, build, and evolve systems for distributed model training and batch inference at scale.
Develop workflows for experiment tracking, model evaluation, and registry management.
Optimize training and inference performance across GPU utilization, data loading, and distributed communication.
NOETIK is a frontier therapeutics company using AI to understand human biology and improve oncology outcomes, building foundation models on proprietary multimodal data. It fosters a collaborative, interdisciplinary culture focused on solving hard problems together.
Find, evaluate, and collect valuable training data from web, code, and technical sources.
Build scalable pipelines that turn raw data into training-ready corpora through extraction, cleaning, deduplication, and filtering.
Work with researchers on data mixtures and sampling strategies for pretraining and midtraining.
Prime Intellect builds the open superintelligence stack, offering a full-stack platform for post-training frontier AI models. Backed by $150M in funding, it is a mission-driven team focused on accelerating science and AI.
Lead the engineering foundation behind reliable, measurable, and scalable AI-powered features.
Build evaluation frameworks, observability tooling, and diagnostic infrastructure for AI agents in production.
Combine hands-on software engineering with technical leadership and people management.
The company builds AI-powered products with a focus on reliability, scalability, and evaluation infrastructure. It operates as a fully remote, globally distributed team with an ownership-oriented culture.
Lead the end-to-end machine learning lifecycle, from data preparation and model training to evaluation, inference, and deployment.
Build and optimize scalable training, fine-tuning, and inference pipelines for large-scale models on GPU infrastructure.
Establish production best practices for model quality, reliability, safety, and measurable performance improvements.
This company builds production-grade machine learning systems and large-scale GPU-powered inference pipelines. It is a fully remote team that values technical rigor, collaboration, and hands-on engineering.
Own the AI research data platform: ingestion, preprocessing, governance, and export of high-volume media data.
Scale Databricks lakehouse and distributed processing, making build-vs-buy decisions as data grows.
Build reusable synthetic data infrastructure and own pipeline reliability, observability, and cost.
Reality Defender detects deepfakes and AI-generated media for enterprises and governments using a patented multi-model platform. A lean, well-funded startup backed by top-tier investors, it protects against malicious AI content.
Architect, implement, and maintain foundational ML infrastructure powering Feeds Ranking, Content Understanding, Recommendations, and Ads.
Create ML data-governance tools that help MLEs discover and reason about signals.
Drive complex projects end to end from technical planning through implementation, testing, rollout, and ongoing operation.
Reddit is a community of communities hosting authentic conversations on shared interests. With 100,000+ active communities and about 130 million daily active visitors, it is a top internet information source.
Lead three highly technical teams spanning machine learning engineering, computer vision, forecasting, and data platform.
Ensure machine learning systems move reliably from research to production with measurable real-world impact.
Manage, mentor, hire, and grow the department of engineers and data engineers across three distinct teams.
Apella Technology applies machine learning to surgical healthcare operations, using computer vision and forecasting to improve clinical workflows. The company fosters a remote culture and is an equal opportunity employer, encouraging diverse backgrounds to apply.
Build and run the managed feature store, enabling data scientists to define, backfill, and serve features at scale.
Develop automated training and deployment platforms so data scientists can ship models without engineering in the loop.
Scale batch scoring and low-latency online inference with robust monitoring, autoscaling, and cost controls.
Tilt uses machine learning to provide fair credit access, looking beyond traditional credit scores with real-time financial signals. With millions of customers worldwide, Tilt is remote-first and values impact, collaboration, and building a new credit system.
Serve as a primary technical consultant, leading end-to-end AI/ML project implementations with clients.
Design, build, and maintain production-grade AI/ML pipelines, emphasizing CI/CD and advanced MLOps/AIOps practices.
Architect end-to-end AI/ML systems and manage infrastructure using Docker, orchestrators, and Databricks lakehouse.
Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies. We build modern Machine Learning systems for demand planning, budget forecasting, and custom AI solutions, fostering a data-nerd culture with values like ownership and a positive mindset.
Orchestrate production pipelines on Databricks Jobs with task dependencies and failure handling.
Manage model lifecycle in MLflow and Unity Catalog across dev, QA, and production.
Ensure operational continuity with cost monitoring, observability, and incident diagnosis.
Muttdata builds innovative data products and machine learning solutions for demand planning, forecasting, and e-commerce. As a fast-growing, remote-first startup, they value ownership, collaboration, and continuous learning.
Design and own scalable data infrastructure for real-time and batch processing, including pipelines handling billions of events daily.
Architect medallion-layer data models in Databricks and build AI-assisted workflows with Claude Code.
Partner with analytics and data science teams to deliver reliable datasets and enable natural-language querying.
Life360 is a family safety and location-sharing platform offering mobile apps, Tile trackers, and Pet GPS with crash detection. It has 102M+ monthly active users and 500+ remote-first employees, with an AI-native, trust-based culture.