Machine Learning Researcher, Audio
As a Machine Learning Researcher at Bland, the responsibilities include foundational research and development across core components of the voice stack such as speech-to-text, large language models, neural audio codecs, and text-to-speech. The role involves building and scaling next-generation text-to-speech (TTS) systems by designing and training large-scale TTS models for expressive, controllable, human-sounding output, developing neural audio codec-based TTS architectures for efficient and high-fidelity generation, improving prosody modeling, question inflection, emotional expression, and multi-speaker robustness, and optimizing real-time, low-latency inference in production. It also includes advancing speech-to-text modeling by building and fine-tuning large scale automatic speech recognition (ASR) systems robust to accents, noise, telephony artifacts, and code switching, leveraging self-supervised pretraining and large-scale weak supervision, and improving transcription accuracy for enterprise scenarios. Responsibilities extend to pioneering neural audio codecs by researching and implementing codecs achieving extreme compression with minimal perceptual loss, exploring discrete and continuous latent representations, and designing codec architectures for downstream generative modeling and controllable synthesis. Additionally, the role demands developing scalable training pipelines by curating and processing massive audio datasets, designing staged training curricula and data filtering strategies, and scaling training across distributed GPU clusters with focus on cost, throughput, and reliability. Finally, it involves running rigorous experiments, designing ablation studies to isolate architectural impacts, measuring improvements via objective metrics and perceptual evaluations, and validating ideas quickly with focused experiments.
Senior AI Scientist
Design and develop AI applications primarily in Python, run evaluations to validate models and package solutions for Kubernetes, AWS, or customer on-premises clusters. Lead discovery sessions, guide pilot projects, and ensure successful deployments, collaborating mostly remotely with occasional on-site workshops. Monitor system performance and reliability, add to logging, billing and auth services, and build internal tooling to automate repetitive tasks. Provide feedback on patterns, pain points, and reusable modules to the core product team to influence the future direction of the AI platform.
Data Scientist - Network Value
Perform ad-hoc and strategic analyses to uncover opportunities for improved business outcomes and translate complex questions into actionable analytics projects. Design and maintain scalable data models and dashboards that increase visibility into core systems and drive operational excellence. Build and iterate on machine learning prototypes to power insight-driven products and unlock new sources of customer and business value. Define and track OKRs that quantify progress toward key business goals, ensuring alignment and accountability across teams. Design and analyze experiments to guide product decisions and optimize feature launches. Champion a data-first culture by promoting analytical rigor and evidence-based decision-making across the organization.
Marketing Intern - Tokyo
Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help our customers achieve success. Scope and co-develop production-level data science projects with our customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth.
Senior Software Engineer, Pilots
As a Senior Software Engineer on the Pilots team, the responsibilities include delivering robust, thoroughly tested, and maintainable C++ code for edge and robotics platforms, designing, implementing, and owning prototype perception systems that may transition into production-grade solutions, constructing and refining real-time perception pipelines including detection, tracking, and sensor fusion, adapting and integrating ML and CV models for Hayden-specific applications, driving technical decision-making balancing prototyping speed with production readiness, collaborating with the Product team and cross-functional Engineering departments, and contributing to shared infrastructure, tooling, and architectural patterns as pilots mature into foundational products.
Computer Vision Engineer
The responsibilities include conducting research on state-of-the-art Computer Vision methodologies and participating in the creation and curation of training and validation datasets. Performing statistical analyses and developing visualization tools to ensure data quality. Building and refining training pipelines and metrics to enhance model performance. Developing and optimizing Computer Vision algorithms for multiple robotics/aerospace projects. Implementing ML/CV models into production-ready environments, ensuring seamless integration with Harmattan AI’s systems, and conducting rigorous code reviews. Testing algorithms in real-world environments, developing monitoring tools, tracking model performance, and continuously improving deployed solutions. Working closely with software and simulation teams to align development with system requirements and communicating findings effectively to stakeholders.
Senior Data Scientist, Marketing
The Senior Marketing Data Scientist will partner closely with Harvey’s Marketing organization to build the marketing data science function from the ground up. Responsibilities include embedding deeply with the Marketing organization as a trusted partner to identify opportunities to improve performance and drive growth, defining, tracking, and evolving core metrics across marketing and business functions, and building scalable dashboards and reporting frameworks that enable data-driven decision-making. The role involves designing, implementing, and evaluating models such as multi-touch attribution, marketing mix modeling, and incrementality for comprehensive Marketing Channel and Campaign performance and contribution. The Senior Data Scientist will apply statistical and machine learning techniques to model user behavior, forecast trends, and identify opportunities for growth and optimization. They will translate complex analyses into compelling stories with clear recommendations for cross-functional partners and executives, partner with Marketing, RevOps, and GTM Systems to co-develop data infrastructure ensuring robust pipelines, reliable data sources, and scalable systems to power analytics and modeling. The role also includes leading cross-functional analytics initiatives to synthesize competitive dynamics, customer feedback, and market trends into actionable business opportunities and championing a data-informed culture by establishing best practices, mentoring peers, and shaping the strategic role of data science at Harvey.
HR Operations Partner
Develop novel architectures, system optimizations, optimization algorithms, and data-centric optimizations that significantly improve over state-of-the-art. Take advantage of the computational infrastructure of Together to create the best open models in their class. Understand and improve the full lifecycle of building open models; release and publish insights such as blogs and academic papers. Collaborate with cross-functional teams to deploy models and make them available to a wider community and customer base. Stay up-to-date with the latest advancements in machine learning.
MEP Manager, Data Centers
Develop novel architectures, system optimizations, optimization algorithms, and data-centric optimizations that significantly improve over state-of-the-art. Take advantage of the computational infrastructure of Together to create the best open models in their class. Understand and improve the full lifecycle of building open models; release and publish insights through blogs, academic papers, etc. Collaborate with cross-functional teams to deploy models and make them available to a wider community and customer base. Stay up-to-date with the latest advancements in machine learning.
Senior Financial Analyst, GTM
The Applied Research Scientist is responsible for developing state-of-the-art tools for correcting, improving, and enhancing written English using various NLP, ML, and DL technologies. They will productize and ship these features into Superhuman's product offerings used by millions of users daily. The role requires staying up-to-date with the latest research trends that could improve the product, contributing to the research strategy and technical culture of the company, and attracting professionals in the industry to build a best-in-class research team that creates a state-of-the-art writing and communication assistant.
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