Jobgether
Senior Manager, Machine Learning
TLDR
Lead ML strategy and production-scale conversational AI systems, blending hands-on model work with team leadership to deliver cutting-edge AI at global scale.
Accountabilities:
- Define and lead the machine learning roadmap, translating ambiguous business and product problems into clear, prioritized ML initiatives aligned with strategic goals.
- Act as a “player-coach” by contributing hands-on to model development, system design, and experimentation while mentoring and guiding a team of ML engineers.
- Build and scale production-grade ML systems focused on conversational AI, including LLM orchestration, embedding pipelines, and vector-based retrieval systems.
- Establish robust ML/LLM Ops practices, including evaluation frameworks, monitoring systems, and performance metrics for non-deterministic AI systems at scale.
- Drive the design and optimization of cloud-based ML infrastructure across AWS, GCP, or Azure, ensuring scalability, reliability, and cost efficiency.
- Lead cross-functional collaboration with engineering, product, and business stakeholders to define KPIs, track outcomes, and ensure alignment on delivery timelines and priorities.
- Recruit, mentor, and develop a high-performing ML engineering team, fostering a culture of experimentation, ownership, and operational excellence.
- 10+ years of experience in Applied Machine Learning or AI, including at least 3+ years in a leadership role managing ML engineers or data science teams.
- Strong experience designing and deploying production-grade ML/AI systems at scale, including experience with LLMs, embeddings, vector databases, and conversational AI systems.
- Proven ability to define and execute long-term ML strategy for complex, large-scale platforms or products.
- Deep expertise in ML Ops / LLM Ops practices, including evaluation methodologies for generative and probabilistic models in production.
- Strong software engineering and cloud background, with hands-on experience in AWS, GCP, or Azure and high-volume distributed systems.
- Demonstrated ability to hire, scale, and lead high-performing technical teams in fast-paced environments.
- Excellent communication and leadership skills, with the ability to influence stakeholders and drive alignment across multiple teams.
- Preferred: Master’s or PhD in Computer Science, Machine Learning, or related field; publications or open-source contributions; experience in conversational AI and distributed global teams.
- Competitive compensation package aligned with senior leadership responsibilities
- Fully remote-first working model with global collaboration opportunities
- Generous paid time off, parental leave, and wellness support
- Comprehensive healthcare coverage (region-dependent)
- Retirement savings and financial wellbeing programs (where applicable)
- Opportunity to lead cutting-edge conversational AI initiatives at massive scale
- Strong culture of ownership, innovation, and continuous learning
- Access to global engineering talent and cross-functional AI research collaboration.
Requirements:
Benefits:
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Benefits
Education Stipend
Retirement savings and financial wellbeing programs (where applicable)
Health Insurance
Comprehensive healthcare coverage (region-dependent)
Global AI research collaboration
Access to global engineering talent and cross-functional AI research collaboration.
Paid Time Off
Generous paid time off, parental leave, and wellness support
Remote-Friendly
Fully remote-first working model with global collaboration opportunities
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services
Machine Learning Engineer