Qureos Mentor

Catalyst Labs

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 About the job Recruiter / Talent Acquisition Junior / Senior / Lead
 
 
 
 
 About Us
 
 
 
 Catalyst Labs is a specialized talent agency with a specialized vertical in Recruitment, People Operations, and Talent Acquisition. We embed ourselves directly into our clients&rsquo; hiring infrastructure functioning as an extension of their internal talent teams and leadership, not as an external vendor.
 
 
 We work closely with Founders, CHROs, Heads of People, and Talent Acquisition Leads across Tier 1 VCbacked startups, scaling technology companies, investment entities, and enterprise organizations. Our clients are building high-performance teams across engineering, product, finance, GTM, and operations and they rely on disciplined, data-driven recruiters who understand speed, quality, and stakeholder alignment.
 
 
 We take pride in facilitating conversations that match your recruiting expertise, operational rigor, and strategic understanding of the people function.
 
 This is a general / expression of interest therefore by submitting your CV, you will be considered for upcoming roles with our clients.
 
 
 
 
 Locations:
 
 Most of our client base is concentrated in California, New York, select hubs across Europe and the UK.
 
 
 
 Who Can Apply:
 
 We welcome Recruitment and People professionals with demonstrated experience in internal talent teams, embedded recruiting functions, reputable staffing agencies, or HR/People departments within respected organizations.
 
 
 
 Experience:
 
 From early-career recruiters and talent coordinators to senior talent partners, lead recruiters, and people operations managers.
 
 
 
 General Requirements By Role
 
 
 
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 Proven experience managing full-cycle recruitment sourcing, screening, stakeholder alignment, interviewing, and closing candidates.
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 Background in a reputable internal talent team, a Tier 1 agency, a venture-backed startup, or a high-caliber corporate HR environment.
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 Strong understanding of modern recruiting fundamentals, including structured interviewing, scorecards, competency-based assessments, and hiring manager alignment.
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 Hands-on experience in at least one major recruiting specialty:
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 Technical Recruiting (AI/ML, engineering, product)
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 GTM &amp; Sales Hiring
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 G&amp;A Recruitment (Finance, HR, Ops)
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 Executive Search
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 High-volume or campus recruiting
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 International/remote hiring strategies
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 Familiarity with modern Talent and PeopleOps tooling:
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 ATS platforms (Greenhouse, Lever, Ashby)
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 Sourcing tools &amp; automation
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 CRM and pipeline engagement systems
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 Hiring analytics, dashboards, and funnel metrics
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 Onboarding workflows and HRIS systems
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 Experience building partnerships with hiring managers, advising on role design, and refining hiring processes.
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 Strong research and sourcing capabilities beyond LinkedIn using advanced search methods, market mapping, and competitor analysis.
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 Ability to manage candidate experience with professionalism, clarity, and speed.
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 Experience in People Operations (policies, onboarding, retention, culture, performance cycles) is a strong plus.
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 Candidates with a track record of high-quality placements, reduction of time-to-fill, process optimization, or scaling teams in fast-paced environments will stand out.
 
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 Why Work With Us?
 
 
 
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 Leverage the relationships we&rsquo;ve built with CHROs, Heads of Talent, and leadership across multiple industries.
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 Work with recruiters who understand modern recruiting funnels, sourcing strategies, close mechanics, not outdated HR scripts.
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 We prioritize your confidentiality and privacy throughout the recruitment process.
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 No spamming.
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 Support refining your resume specifically for the roles we shortlist you for.
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 Direct communication channels bypass gate keepers and speak directly with hiring managers and decision-makers.
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 Insight on compensation structures across companies, including performance-based bonuses, hybrid recruiter/PeopleOps roles, and internal vs. embedded tracks.
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Recruiter / Talent Acquisition Junior / Senior / Lead

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 About The Job ML Engineer
 
 
 
 
 Our Client
 
 
 
 Is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI technology captures and analyzes real-world conversations, providing full visibility into every customer interaction without the need for traditional ride-alongs.
 
 
 By turning field conversations into searchable, actionable data, they empower teams to coach more effectively, close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep understanding of field sales dynamics, this company is redefining how businesses learn from and optimize their in-person customer experiences.
 
 
 
 About Us
 
 
 
 Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that&rsquo;s deeply embedded in our clients&rsquo; recruitment operations.
 
 
 We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems.
 
 
 
 Location
 
 : New York, NY
 
 
 
 Work type
 
 : Full Time,
 
 
 
 Compensation
 
 : above market base + bonus + equity
 
 
 
 Roles &amp; Responsibilities
 
 
 
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 Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecyclefrom conception to deployment and maintenance.
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 Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
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 Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
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 Build agents capable of operating natively on real-world audio inputs.
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 Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
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 Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
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 Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
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 Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
 
 
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 Qualifications
 
 
 
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 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
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 1-6 years of professional experience in ML engineering.
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 Strong programming skills in Python (TypeScript experience is a plus).
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 Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
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 Familiarity with cloud environments and infrastructure (preferably AWS).
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 Strong understanding of data pipeline design, real-time inference, and model monitoring.
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 Excellent communication skills with the ability to engage directly with customers and stakeholders.
 
 
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 Core Experience
 
 
 
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 Proven experience building and deploying ML models into production environments.
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 Demonstrated ability to own the full model lifecyclefrom data ingestion and model development to deployment and monitoring.
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 Experience with audio-focused ML projects or similar domains involving unstructured data.
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 Proficiency in building scalable data pipelines for model training and evaluation.
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 Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
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 Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.
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 </ul>
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ML Engineer

Join Catalyst Labs and explore 12   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Catalyst Labs

About Company

Recruiter / Talent Acquisition Junior / Senior / Lead

ML Engineer

ML Engineer

Recruiter / Talent Acquisition Junior / Senior / Lead

ML Engineer

ML Engineer

ML Engineer