Top 13 bayesian optimization Jobs in remote

Staff Engineer – Experimentation Team
LaunchDarkly —Remote
- $182,600 - $295,350 a year
- On call
- Remote
- System design
- Analysis skills
- Mentoring
- Dental insurance
- Vision insurance
Principal Scientist Algorithm Lead
NeoGenomics Laboratories —Remote
- Remote
- Computer Science
- 8 years
- Doctor of Philosophy
- Employee stock purchase plan
- Paid holidays
Quick Apply
Principal Data Scientist
mSupply —Remote
- Overtime
- Remote
- Azure
- Computer Science
- Office
- Health savings account
- Paid holidays
Quick Apply
R&D Data Scientist: Mathematical Modeling and Optimization
Liftlab Analytics, Inc. —Austin, TX
- Full-time
- Remote
- Mid-level
- SQL
- Math
Quick Apply
Sr. Analyst, Product Analytics
PlayStation Global —San Mateo, CA
- $175,013 - $248,900 a year
- Remote
- 3 years
- Master's degree
- SQL
Principal Engineer Motion Planning
Motional —Boston, MA
- $240,000 - $330,000 a year
- Remote
- Computer Science
- System design
- Master's degree
Quick Apply
Lead AI Engineer
St. Jude Children's Research Hospital —Remote
- $94,640 - $169,520 a year
- Full-time
- Azure
- Computer Science
- 5 years
Senior Motion Planning Engineer
Motional —Pittsburgh, PA
- $168,000 - $225,000 a year
- Remote
- Computer Science
- System design
- Master's degree
Quick Apply
Staff/Senior Machine Learning Scientist - Pricing/Forecasting (Open to Remote)
Penguin Random House LLC —New York, NY
- $180,000 - $250,000 a year
- Remote
- System design
- 3 years
- SQL
- Commuter assistance
- Health savings account
11d
Director, Marketing Analytics Atlanta (Remote Friendly)
Greenlight Financial Technology —Atlanta, GA
- $200,000 - $260,000 a year
- Full-time
- Remote
- 8 years
- SQL
- Senior level
- Paid parental leave
- Health savings account
Postdoctoral Scholar — AI Researcher for Critical Mineral Discovery New
KoBold Metals —Remote
- $80,000 - $90,000 a year
- Doctor of Philosophy
- Senior level
- Health insurance
- Dental insurance
3d

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Staff Engineer – Experimentation Team

LaunchDarkly -
Remote

Apply Now

Job Details

$182,600 - $295,350 a year

Benefits

Dental insurance
RSU
Vision insurance

Qualifications

Commercial use (data warehousing systems)
Cloud analytics services
Software engineering
Bayesian inference
Data transformation pipeline development
Hypothesis testing
Cloud data warehouses
Team leadership
Infrastructure as Code (IaC)
Design of experiments
System design
Event-driven architecture
Data Architecture Design (Architecture design skills)
Inferential statistics
Leading team collaboration initiatives
Developing and maintaining backend systems
Cloud automation
Statistical significance testing
Design (software development lifecycle)
Cross-functional communication
Statistical analysis tools

Full Job Description

About the Job:

As a Staff Engineer on LaunchDarkly's Experimentation team, you'll build the platform that helps engineering teams make data-driven decisions with confidence. Our Experimentation product enables customers to run A/B tests, measure the impact of feature changes, and optimize experiences — integrated with a feature management platform that processes trillions of evaluations daily.

This role sits at the intersection of data science and platform engineering. You'll design the statistical engine, warehouse-native analysis pipelines, and adaptive experimentation systems (including contextual bandits) that power our customers' most important decisions. We want someone who brings genuine depth in applied statistics and ML — as fluent in statistical validity as in system architecture.

You'll also architect warehouse-agnostic features that run analysis directly inside customers' data warehouses (Snowflake, Databricks, Redshift, BigQuery) — modular computation layers that abstract across warehouse environments while maintaining statistical correctness.

Deep technical experience, a scientific mindset, and the ability to influence product and technical direction are critical. You'll lead by example: setting the bar for rigor, mentoring teammates, and owning systems end to end, including on-call.

Responsibilities:

Build the experimentation statistical engine — hypothesis testing, sequential analysis, variance reduction (CUPED, Winsorization), power analysis. Ensure statistical correctness across all experiment types.

Design warehouse-native experimentation that runs analysis inside customer warehouses (Snowflake, Databricks, Redshift, BigQuery). Build modular, warehouse-agnostic abstractions for rapid new backend support.

Lead adaptive experimentation — contextual bandit systems, Bayesian optimization, automated allocation beyond simple A/B tests.

Drive the platform roadmap with product, design, and data science. Shape what we build, not just how.

Collaborate cross-functionally with Warehouse Integrations, SDK, Platform, and Data Science teams.

Mentor engineers and raise the team's bar for statistical rigor and system design.
Own operational excellence — monitoring, observability, incident response, on-call. Robust telemetry and alerting.

Qualifications:

10+ years building large-scale experimentation platforms, statistical analysis systems, or data-intensive backend services.

Applied-statistics knowledge: hypothesis testing, sequential analysis, variance reduction (CUPED), power analysis, experiment design. Comfortable with frequentist vs. Bayesian trade-offs.

Experience with adaptive experimentation ML — contextual bandits, Thompson sampling, Bayesian optimization, or RL-based allocation.

Track record designing warehouse-agnostic systems across Snowflake, Databricks, Redshift, BigQuery, or similar.

Expertise in Go, Python, or similar for backend services and statistical computation.

Experience with event-driven architectures, data pipelines, and large-scale data processing.

Cloud environments (AWS, GCP) with infrastructure-as-code.

Technical leadership: setting direction, breaking down complex problems, influencing across teams.

Ability to translate statistical concepts for product and engineering audiences.

Pay:

Target pay ranges based on Geographic Zones* for Level 5:

Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $214,800 - $295,350*
Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $193,400 - $265,870**
Zone 3: All other US locations - $182,600 - $251,0202**

LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.

Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.

**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.

About LaunchDarkly:

Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.

The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:

Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability

At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at [email protected].

Apply Now

Refine Your Search

bayesian optimization jobs in remote

Staff Engineer – Experimentation Team

Principal Scientist Algorithm Lead

Principal Data Scientist

R&D Data Scientist: Mathematical Modeling and Optimization

Sr. Analyst, Product Analytics

Principal Engineer Motion Planning

Lead AI Engineer

Senior Motion Planning Engineer

Staff/Senior Machine Learning Scientist - Pricing/Forecasting (Open to Remote)

Director, Marketing Analytics Atlanta (Remote Friendly)

Postdoctoral Scholar — AI Researcher for Critical Mineral Discovery New

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