Jobs / Dig***
Staff Software Engineer, AI/ML
Dig*** · Bellevue, WA, United States
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Bellevue, WA, United States216,800-271,000 USD/yearlyHybrid
Remuneration
216,800-271,000 USD/yearly
Location
Bellevue, WA, United States
Visa sponsorship
Sponsors visa
Job summary
Dive in and do the best work of your career at Dig***. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here.
Benefits
To support you from our Employee Assistance Program to Local Employee Meetups toWhile the philosophy around ourIs the same worldwide, specificMay vary based on local regulations and preferences.We reward our employees.The salary range for this position is based on market data, relevant years of ex
Qualifications
- Run large-scale experiments that connect model changes to measurable improvements in user experience and business impact.
- 8+ years of experience building production AI/ML systems — LLMs, GenAI, agentic systems, recommendation, search, personalization, or applied research at scale.
- Hands-on experience improving AI systems through reinforcement learning, reward modeling, fine-tuning, human feedback, or preference optimization — with results you can point to.
- Strong understanding of agentic AI: reasoning, planning, tool use, action execution, instruction following, and self-correction.
- Strong signal
- Experience with agent evaluation, offline/online experiments, and human feedback loops in production.
- Direct experience with RLHF, RLAIF, DPO, PPO, GRPO, or related optimization techniques.
- Prior Staff, Senior Staff, Tech Lead, or equivalent senior IC experience.
- Nice to have
- Master's or PhD in CS, ML, AI, or a related field — or equivalent depth demonstrated through industry work.
- Experience with production ML infrastructure: model serving, observability, data pipelines, feature stores, or experimentation platforms.
- Research contributions via publications, patents, open-source work, or demonstrated applied research impact in RL, reward modeling, evaluation, or recommendation systems.
Responsibilities
- If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here.
- You'll set direction, run experiments at scale, and close the loop between user signals and model behavior - shipping research into production, not just writing it up.
- WHAT YOU'LL BE DOING
- WHAT YOU'LL ADD TO Dig***
Skills
Leadership
Degrees
AssociateMasterPhD
Industry
DefenseEducationEnergy
Company size
Smb