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Top Natural Language Processing Jobs in Boston, MA
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Real Estate
Responsible for designing and implementing training programs for Sales and Customer Success teams, improving performance through metrics, and collaborating with departments for training needs.
Top Skills:
AttentionOutreachSalesforce
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Real Estate
Lead and coach the SDR team while contributing as a player-coach: prospect, build pipeline, design outbound playbooks and processes, track and report sales metrics, recruit and develop talent, and ensure effective use of Salesforce and Outreach in support of sales goals.
Top Skills:
OutreachSaaSSalesforce
Aerospace • Artificial Intelligence • Computer Vision • Machine Learning • Natural Language Processing • Software • Defense
The Electrical Engineer will design and develop electronic systems, collaborate on integration tasks, and troubleshoot complex systems for air vehicle systems.
Top Skills:
Battery Management SystemsCan Bus StandardElectrical EngineeringEmbedded SystemsPcb Schematic CaptureRf Communication
Artificial Intelligence • Fintech • Machine Learning • Natural Language Processing • Software • Generative AI
As a Full-Stack Software Engineer II, you will develop AI-centric web applications using TypeScript, collaborating on product and technical decisions while managing project priorities and deliverables.
Top Skills:
Amazon EksAWSGitGitJavaScriptLangfuseNext.JsPrometheusReactSentryTailwindTypescript
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
This role involves enabling AI-driven drug discovery projects, fostering collaboration between AI and bench scientists, and providing technical guidance to integrate AI tools in obesity research.
Top Skills:
AIMachine Learning
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Embed in Research to drive end-to-end delivery of STT/TTS model versions and features. Map dependencies and risks, run cross-functional programs, establish lightweight processes, and communicate status across Research, Product, DataOps, and Engineering to ensure timely launches.
Top Skills:
Audio Data CollectionAudio LabelingData PipelinesDataopsHuman EvaluationLatent Space Models (Lsms)Machine LearningModel EvaluationModel ServingModel TrainingSpeech-To-Text (Stt)Text-To-Speech (Tts)
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Provide legal counsel to research and product teams on model development and deployment. Draft and review consumer-facing terms, privacy policies, and disclosures. Build privacy program and AI governance frameworks, translate international AI regulatory developments into actionable policies, and scale AI-native legal workflows across the company.
Top Skills:
Ai ToolsCloud ApisFoundation ModelsOn-Premises SoftwareSelf-Hosted DeploymentsSpeech-To-Text (Stt)Text-To-Speech (Tts)Voice Agents
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Lead end-to-end delivery of complex technical programs spanning hardware, software, and research. Define workstreams, set milestones, coordinate cross-functional teams, identify and mitigate risks, dive into technical details, and build lightweight processes and tooling to scale AI/ML infrastructure and GPU/cloud deployments.
Top Skills:
Ai/Ml WorkloadsAWSAzureCloud And On-Premise InfrastructureDistributed SystemsGCPGpu InfrastructureMulti-Region Multi-CloudSoftware-Defined InfrastructureSoftware-Defined Networking
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Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Financial Services • Generative AI
Own and build Hebbia's APAC sales presence from Singapore: manage full enterprise sales cycles, develop relationships with institutional investors, shape regional GTM strategy, represent the product at events, and hire a regional team.
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
The Senior ABX Manager will design and execute account-based marketing programs for strategic accounts, collaborating with sales to drive engagement and revenue.
Top Skills:
6SenseDemandbaseHubspotIntent Data PlatformsMarketoOutreachSalesforceSalesloftTerminus
Artificial Intelligence • Cloud • Information Technology • Machine Learning • Natural Language Processing • Software
The Enterprise Account Executive will drive sales by managing the sales process, generating new business, engaging with prospects, and achieving revenue targets.
Top Skills:
Salesforce
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Software • Generative AI
The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.
Top Skills:
AWSC++KubernetesPythonPyTorchScikit-LearnSparkTensorFlow
Reposted 8 Hours AgoSaved
Artificial Intelligence • Machine Learning • Natural Language Processing • Professional Services
Evaluate AI outputs, perform audit-based reviews, identify failure modes and trends, apply and refine guidelines, communicate findings, participate in calibrations and stakeholder syncs, and help improve evaluation frameworks for human-in-the-loop AI.
Top Skills:
GenaiHuman-In-The-LoopNlp
Reposted 8 Hours AgoSaved
Artificial Intelligence • Machine Learning • Natural Language Processing • Professional Services
Evaluate AI outputs, audit model behavior, apply and refine labeling guidelines, identify failure modes and trends, document findings, and collaborate with cross-functional teams to improve model evaluation and data quality.
Reposted 8 Hours AgoSaved
Artificial Intelligence • Machine Learning • Natural Language Processing • Professional Services
Audit and review data labeling outputs, provide actionable feedback, train and support labeling teams, monitor workflows, identify recurring issues and edge cases, participate in calibrations and stakeholder syncs, and help improve guidelines and processes in human-in-the-loop AI workflows.
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