AI Resident
Ema —San Francisco Bay Area, CA
- $4,000 a month
- Full-time
- System design
- Mid-level
- No degree
Machine Learning Engineer
Mariana Minerals —San Francisco, CA
- $120,000 - $180,000 a year
- Full-time
- Mid-level
- 2 years
- Python
Quick Apply
MTS Process Integration Engineer
KYOCERA SLD Laser, Inc —Fremont, CA
- $157,000 - $185,000 a year
- Full-time
- 5 years
- Analysis skills
- Senior level
- Health insurance
- 401(k)
Quick Apply
Technical Support Specialist
Agnik —Berkeley, CA
- Email
- Computer science
- Computer Science
- Bachelor of Science
- Dental insurance
- 401(k)
Software Engineer, Infrastructure, PhD, Early Career, 2027 Start
Google —San Bruno, CA
- $147,000 - $210,000 a year
- Full-time
- Computer science
- Computer Science
- System design
13d
Postdoctoral Scholars
Lawrence Berkeley National Laboratory —San Francisco Bay Area, CA
- $5,756 - $9,136 a month
- Full-time
- Background check
- 3 years
- Doctor of Philosophy
MTS Process Integration Engineer
KYOCERA SLD LASER INC —Fremont, CA
- $157,000 - $185,000 a year
- Full-time
- 5 years
- Analysis skills
- Senior level
Quick Apply

Explore jobs in cities nearby

Check out jobs in cities near your current location, Columbus

Entry-Level Geotechnical Engineer
S&ME, Inc. —Columbus, OH
Reporting & Documentation: Prepare data tables, figures, and graphical presentations; compare results to state and federal regulatory standards; and assist in…
Quick Apply
Substation Manager - Kiewit Power Delivery Engineering
Kiewit Corporation —Columbus, OH
Bachelor of Science degree (B.S.) or Graduate degree in Engineering or related field from an ABET accredited university. One line and three line diagrams.

I want to receive the latest job alert for graduate mining engineer in berkeley, ca

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

graduate mining engineer jobs near berkeley, ca

Technical Support Specialist jobs in Berkeley, CA

Software Engineer jobs in San Bruno, CA

Integration Engineer jobs in Fremont, CA

Postdoctoral Scholar jobs in San Francisco Bay Area, CA

Machine Learning Engineer jobs in San Francisco, CA

Technical Support Specialist jobs in Pearland, TX

Technical Program Manager jobs in Phoenix, AZ

Technical Support Specialist jobs in Chicago, IL

It Support Specialist jobs in Washington, DC

Peer Support Specialist jobs in Arkansas

Technical Support Specialist jobs in Columbia, MD

Technical Theatre jobs in Indiana

Technical Support Specialist jobs in Long Beach, CA

Software Engineer jobs in Folsom, CA

Software Engineer jobs in Pittsburgh, PA

Software Engineer jobs in Columbia, SC

Software Engineer jobs in Las Vegas, NV

Software Engineer jobs in Farmington Hills, MI

Data Engineer jobs in Fort Lauderdale, FL

Mechanical Engineer jobs in Minnesota

AI Resident

Ema -
San Francisco Bay Area, CA

Apply Now

Job Details

Full-time
$4,000 a month

Qualifications

PyTorch
Production systems
Machine learning libraries

Full Job Description

About Ema

Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs.

We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale.

The residency

You own one hard problem end to end. You write the proposal, build the system, design the evaluation, ship behind a gate, and finish with a write-up of what turned out to be true, including the parts that didn't work. You'll sit in the production codebase with a senior mentor and real production data. Recent residents have shipped self-improving harnesses, inference-cost work, agent memory, and eval infrastructure. Your project gets scoped with you, not handed to you.

The problem space

The loop we care about: production traces become data, data becomes training and evaluation, and better agents produce better traces. Projects live somewhere on that loop.

Harness and inference-time work. Context engineering, tool and skill design, orchestration, and deciding where extra inference compute actually pays. Self-improvement loops run behind hard fences.
Post-training for agents. SFT on curated trajectories, preference optimization, RL on real agent tasks. Reward design where outcomes are verifiable, process vs. outcome supervision, distilling frontier behavior into cheaper models.
Environments and rewards. Turning enterprise workflows into training and eval environments: fixture tenants, simulated users (some of whom get impatient and leave), verifiable rewards, and defenses against reward hacking. Agents will exploit a lazy grader.
Data engines. Mining production agent-steps into training and eval corpora: failure mining, labeling with calibrated judges, synthetic augmentation that stays useful.
Evaluation. Behavior-level benchmarks from real workflows, LLM judges calibrated against human labels, reliability statistics for stochastic agents.
Efficiency. Routing, ensembles, caching, small-model specialization. Quality per dollar is a research metric here.

What we're looking for

No specific degree required. Strong undergrads, grad students, and self-taught builders are all welcome; what matters is demonstrated depth in ML or agent systems.
Solid ML fundamentals and strong engineering: Python, PyTorch, and the discipline to ship in a large production codebase.
Real depth in at least one of: post-training (SFT/DPO/GRPO-family RL), reward modeling or LLM judges, agent and tool-use systems, retrieval and memory, eval design. One area you can teach us beats five you've touched.
Statistical literacy. You can size an experiment, and you know 25 samples at one seed is a datapoint, not a result.
Honest measurement as a habit. You'd rather kill your own feature with a clean experiment than ship it on a hunch.

Nice to have

Hands-on post-training with open models (TRL, veRL, OpenRLHF, or your own loop). Bonus points if you've debugged a reward-hacked run.
Built or trained in interactive agent environments (SWE, web, or tool-use gyms).
Large-scale trace analysis, data curation, or synthetic data work.
Serving and efficiency experience: vLLM/SGLang, distillation, quantization.
Multi-node GPU training, or the infra fluency to get there fast.
Publications, open-source work, or writing that shows how you think.
Security instincts: prompt injection, data governance, why a self-improving agent needs a fence.

Logistics

SF Bay Area, on-site/hybrid, half/full-time for the term. Flexible start.
Salary: $4,000 month

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

Apply Now

Refine Your Search

graduate mining engineer jobs in berkeley, ca

AI Resident

Machine Learning Engineer

MTS Process Integration Engineer

Technical Support Specialist

Software Engineer, Infrastructure, PhD, Early Career, 2027 Start

Postdoctoral Scholars

MTS Process Integration Engineer

Explore jobs in cities nearby

I want to receive the latest job alert for graduate mining engineer in berkeley, ca

Explore jobs in more locations

About Ema

Job Seeker Tools

Employer Tools

Browse

Stay Connected