COMPANY A1
AI Engineering
MemberofTechnicalStaff,MachineLearning
Neural analysis suggests this role is
optimal for Mid candidates.
“Member of Technical Staff, Machine Learning at COMPANY A1. Skills: Machine Learning, Production ML, ML components. Build and improve ML components. Fine-tune and adapt models”
What You'll Achieve.
ML models in production meet expected accuracy; latency; reliability targets; Production issues are identified quickly; debugged effectively; root causes addressed; Data pipelines; training loops; inference systems are robust; reproducible; maintainable; deliver reliable ML-powered features; Iterations on models and systems are driven by real-world signals; measurable improvements
Industry & Context.
Debug model issues; performance problems; production incidents; work through ambiguity
What They're Looking For.
Must Have
foundations in machine learning, modern neural architectures, writing production-quality code
Nice to Have
hands-on experience training, fine-tuning, deploying ML models, learning new tools quickly, work through ambiguity with guidance, grow ownership over time, bias toward shipping, iteration, continuous improvement
What You'll Do.
Build and improve ML components
Fine-tune and adapt models
Implement evaluation and testing
Help build and maintain data pipelines
Ship improvements iteratively
Work closely with senior ML engineers
Work closely with product teams
How You'll Work.
Team & Collaboration
Work closely with senior ML engineers; Work closely with product teams; Collaborates effectively with engineers; product; research teams
Full Job Description
COMPANY A1 is building a proactive AI smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows. Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. ROLE As a Member of Technical Staff, Machine Learning, you will build core ML components. You will work on real production systems from day one, learning how large-scale ML behaves outside of research settings. This role is for engineers who want to develop strong systems judgment by shipping, debugging, and iterating on real-world ML. FOCUS - Build and improve ML components across data, training, evaluation, and inference. - Fine-tune and adapt models as part of larger production systems. - Implement evaluation and testing to understand model behavior. - Help build and maintain data pipelines for real-world and synthetic data. - Debug model issues, performance problems, and production incidents. - Ship improvements iteratively and learn from real user feedback. - Work closely with senior ML engineers and product teams. - Work under real production constraints: latency, cost, reliability, and safety TECH STACK - Python - PyTorch / JAX - Production ML systems running on GPUs IDEAL EXPERIENCE - Strong foundations in machine learning and modern neural architectures. - Some hands-on experience training, fine-tuning, or deploying ML models. - Comfortable writing production-quality code and learning new tools quickly. - Curious, coachable, and eager to learn from real systems in production. - Able to work through ambiguity with guidance and grow ownership over time. - Bias toward shipping, iteration, and continuous improvement. OUTCOMES - ML models in production meet expected accuracy, latency, and reliability targets. - Production issues are identified q
Applying for this Member of Technical Staff, Machine Learning role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Ashby
- Ashby is a fast modern ATS — most applications take under 3 minutes.
- The resume parser is strong; verify parsed experience dates and job titles.
- Custom screening questions are often scored algorithmically — answer completely.
- Location field affects geo-based screening; use your actual metro area.
ANONYMOUS · UNFILTERED
What do employees actually say about COMPANY A1?
Real rants from real employees. Read before you apply.