

Industry: 电信业
Company Size: 超过 10,001 人

OPPO

Savvy Admin PROD

OPPO Research Center is seeking a passionate and innovative Research Scientist to advance our next-generation AI hardware platforms—including AI Glass/Earphone/etc.—through cutting-edge generative AI research. You will drive the design, training, and deployment of multimodal intelligence models that seamlessly integrate language, vision and action. As part of our collaborative team, you will co-design algorithms and hardware, translate research into real-world products, and publish at top-tier AI conferences.

**Requirements**

**Key responsibilities:**

- Develop LLM model with parameter number around 1 billion, with special focus on developing innovative LLM architectures for long context memory, and in-context retrieve and generation

- Develop synthetic data pipeline/creating real data pipeline for LLM training

- Develop effective methods for benchmarking, e.g., LLM-As-Judge

- Collaborate closely with hardware engineers, software developers, and product teams to integrate research prototypes into production systems

- Publish research findings in premier AI conferences (e.g., ICLR, NeurIPS)

**Qualifications**

Minimum:

- Master/Ph.D. in AI, Computer Science, or a related discipline, with a focus on NLP/AI

- Strong background in generative AI, with hands-on experience developing LLM

- Practical expertise in training and optimizing large language models for both cloud and edge inference

- Excellent programming skills in Python

Preferred:

- Deeply knowing the concept of LLM context, memory, RAG, and has related experiences in those topics

- Has the experience to build LLM training dataset, and benchmark, with such proved record in publications

- Experience with large language model with parameter number around 1 billion, knowing the tradeoffs in such models

- Contributions to open-source AI projects

- Strong collaborative and communication skills

**Benefits**

OPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

The US base salary range for this full-time position is $100,000-$300,000 + bonus + long term incentives benefits. Our salary ranges are determined by role, level, and location.

NLP Research Scientist

Galvanize Therapeutics is developing therapies to deliver life-changing healthcare solutions to patients and their doctors at the convergence of biology, engineering, and care delivery.

Industry: Medical Equipment Manufacturing
Company Size: 51-200 employees

Galvanize Therapeutics, Inc.

**About Galvanize Therapeutics**

Galvanize is a biomedical platform company operating at the convergence of engineering, biology, and healthcare delivery, aiming to deliver life-changing solutions to patients and their doctors. We design and develop Pulsed Electric Field Systems to achieve meaningful and lasting therapeutic outcomes for patients.

**About The Role**

The Clinical Research Scientist provides broad analytic support for Clinical Affairs activities including developing, implementing, and managing data collection, data analyses, and other activities that optimize analytical efficiency and depth. This role involves collaborating closely with team members to assist in extracting insights from clinical study data and contribute to writing reports and manuscripts.

**Qualifications**

**Education and Training**

- Minimum of a bachelor’s degree in Life Sciences, Computer Science, Data Analytics, or related analytical fields.

- Advanced degree (MS, PhD) preferred.

- Minimum of 3 years of relevant work experience.

**Skills And Experience**

- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

- Experience working with a variety of datasets and preparing reports.

- Knowledge of data analysis applications (e.g., Excel, Power BI, GraphPad Prism, R, Python).

- Knowledge of and experience with digital pathology and histological image analysis preferred, including experience with image analysis software.

- Understanding of cancer biology and immuno-oncology is preferred.

- Experience in the medical device industry and/or oncology clinical trials is preferred.

**Other Qualifications**

- Strong analytical skills, problem-solving, writing, communication, and interpersonal skills.

- Must be able to work on multiple projects simultaneously and demonstrate organizational, prioritization, and time management proficiencies.

- Able to work independently and in a team environment, with attention to detail and in an efficient manner.

- Experience with data visualization software is preferred.

**What You'll Do**

- Develop and implement image analysis tools to analyze histologically stained tissue, and develop scalable analytical workflows to support clinical research.

- Manage and optimize sample and data collection workflows and integration of sample metadata including from clinical study sites, external labs. Responsible for data receipt and organization. Plan timelines for these activities to meet business needs.

- Collaborate with cross-functional teams, such as clinical operations, medical affairs, regulatory affairs, research and development, and commercial/marketing, as needed to understand clinical team and business requirements and translate to optimal analytics output.

- Contribute to the ongoing analysis of clinical study data (e.g., histology image analysis), including data interpretation, data visualization, analysis using statistical techniques, and report generation.

- Assist with project management within the clinical affairs department, including clinical research vendor identification and management.

- Prepare data and results in a variety of formats for manuscript development and presentations. Contribute to writing reports and manuscripts and preparing presentations.

- Assist with communication of scientific and clinical findings to both internal and external stakeholders.

- Conduct and prepare literature reviews, as needed.Describe the specific responsibilities and job functions of the role

~~This role pays between ~~~~$110,000 and $115,000 ~~~~per year, and your actual base pay will depend on your location, skills, qualifications, and experience.~~

~~Galvanize offers a robust benefits package to full-time employees, including medical, dental, and vision coverage, life insurance, short- and long-term disability protection, 401(k), and flexible paid time off.~~

~~Galvanize Therapeutics is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.~~

~~We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws. ~~

Clinical Research Scientist

On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo app and ride today.

Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com/careers to check out our official job listings.

Industry: Technology, Information and Internet
Company Size: 1,001-5,000 employees

Waymo

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo’s audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology—resulting in denser signals and challenging new problems in estimation and experimental design.

In this hybrid role you will report to a Data Science Manager.

**You Will**

- Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation.

- Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving.

- Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc.

- Frame and solve ambiguous problems, derive data-driven conclusions, and communicate findings to senior stakeholders.

- Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo’s simulation software; facilitate deployment readiness decisions for both products.

**You Have**

- Degree in a quantitative field (e.g. Statistics, Mathematics, Physics)

- 3+ years of industry experience solving data science problems or a PhD in a quantitative field

- Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models

- Demonstrated knowledge of Python/SQL/R data analysis libraries and packages

**We Prefer**

- PhD in a quantitative field

- Experience solving problems related to Autonomous Driving or Ride Hailing

- Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range

$170,000—$216,000 USD

Data Scientist

Using whole genome sequencing and state-of-the-art bioinformatics, MyOme analyzes a single patient sample to produce comprehensive and clinically actionable reports that allow patients and their providers to make personalized lifestyle, prevention, and treatment choices.

Industry: Biotechnology Research
Company Size: 11-50 employees

MyOme

MyOme’s mission is to provide clinically actionable genetic information to patients throughout their lives. We combine clinical-grade whole genome sequencing, advanced AI methods for genome interpretation, and seamless digital tools for doctors and patients to order and access results. Our team is composed of seasoned entrepreneurs, scientists, and operators, and we're backed by top-tier investors.

**Position Overview:**

MyOme is an early stage startup with seasoned entrepreneurs looking for a bioinformatician to join the team and help expand the role of genetic information in personal and family health decisions. You will collaborate with the research and engineering teams to develop and implement analytic pipelines, computational analysis, and interpretation of biological data. We are looking for an experienced bioinformatician or data scientist with a strong background in human genetics. This role will report directly to a Senior Bioinformatics Scientist.

**What You'll Do:**

- Work with bioinformaticians and engineers to manage, process, analyze and interpret genomic data

- Identify and develop tools for NGS data analysis

- Develop and test algorithms for incorporation into a production pipeline

- Design and implement quality control processes

- Help design and conduct clinical validation study plans and reports

- Work with our Clinical Lab Director to make sure all algorithms comply with regulatory standards

**What You'll Ne ****ed:**

- Master’s degree (PhD preferred) in computational biology, computer science or a related field

- 3+ years experience in industry analyzing NGS data

- Coding fluency such as Python or R

- Experience with bioinformatics tools including bcftools, samtools, bedtools, etc.

- Ability to implement new tools and evaluate open source tools quickly

- Familiarity with genomic databases such as UCSC, NCBI (dbSNP, Clinvar), Ensembl

- Familiarity with public datasets such as 1000 Genomes, UKB, All of Us

- Experience with detecting and interpreting different types of genetic variants

- Experience in statistical analysis of genetic data

- Experience managing computational tasks in a cloud environment (AWS or GCP).

- Solid understanding of the Linux environment and shell scripting

- Experience working with next-generation sequencing data (exome, genome, RNASeq) and/or long-read technology (Nanopore, PacBio)

- Experience with Nextflow is a plus

- Excellent communication and presentation skills

- Experience working within a hybrid and/or remote team

**Location, Compensation, and Benefits:**

- **Location: **Hybrid role, 2 days onsite at our Menlo Park, CA campus.

- **Compensation: ** Annual salary range is $120,000 - $150,000, based on experience

San Francisco Bay Area pay range: $120,000 USD - $150,000 USD

**Benefits:**

- Comprehensive healthcare coverage (Health, Dental, and Vision)

- 401K

- Unlimited PTO

- Professional development opportunities

- Company-sponsored off-sites and team meals during in-person meetings

- Direct access to company leadership and the opportunity for career growth

**Diversity, Inclusion, and Equal Opportunity:**

MyOme values diversity in all forms. We believe that diverse perspectives drive better science and better patient outcomes. We are an Equal Opportunity Employer committed to creating an inclusive workplace that empowers every individual.

**Why Work at MyOme?**

**Join us if you:**

- Want to make an impact at the intersection of healthcare and technology, changing the way people engage with their health at the genetic level

- Enjoy rolling up your sleeves, taking initiative, and being empowered to lead

- Value humility, transparency, and collaborative problem-solving

- Thrive in fast-moving, dynamic environments with smart, driven teammates

- Appreciate competitive compensation, meaningful equity, and excellent benefits

Learn More: myome.com

Bioinformatics Scientist

Snowflake delivers the Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the Data Cloud.

Industry: Software Development
Company Size: 5,001-10,000 employees

Snowflake

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

The Product Data Science team is looking for a Full-stack Senior Data Scientist to come aboard and be part of Snowflake’s most critical initiatives. In this role, you will work closely with our Product and Engineering teams on everything from core operations, to innovative AI/ML tools, to our fastest-growing new and experimental features. You will work on long-running analytical initiatives yielding substantial product enhancements. This is a strategic, high-impact role that will help shape the future of Snowflake products and services.

**PLEASE NOTE: ** The position level is determined during the interview process and is influenced by various factors, including experience, educational attainment, skill level requirements, and overall interview performance.

**AS A SENIOR FULL STACK DATA SCIENTIST AT SNOWFLAKE YOU WILL:**

- Be a proactive partner to Product Management and Engineering to shape feature roadmaps and help design metrics and analytical workflows to evaluate their success and effectiveness.

- Build efficient data models and high quality production pipelines and partner with Engineering for all necessary telemetry.

- Build scalable and extensible analytics/ML/causal inference frameworks to uncover feature usage patterns, subtle issues with the system, potential performance enhancements, and areas to improve customer experience.

- Be an early adopter/pro user of Snowflake features and provide feedback on design parameters.

- Evaluate the right surface (Snowflake Notebook/Worksheet/Snowsight Dashboards/Streamlit Apps) to disseminate your insights for maximal impact.

- Influence decisions and drive initiatives with the Product Management and Engineering teams to drive better outcomes for our customers.

- Answer questions from the executive team for reporting to the board and contribute to industry reports and similar publications.

- Think creatively and be scrappy to find optimal solutions to our complex, often unstructured problems.

**OUR IDEAL CANDIDATE WILL HAVE:**

- MS/Ph.D. in quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS).

- 8+ years of relevant data science or related experience.

- Expert-level experience working with SQL & Python including scikit-learn, numpy, and pandas.

- Expert in working with large-scale machine generated data (e.g., logs, application telemetry, or customer usage data).

- High fluency with MPP databases, such as Snowflake, Redshift, BigQuery, Vertica, etc.

- Expert data-driven storytelling skills to convey insights to business leaders and technical stakeholders and influence decisions.

- The ability to thrive in a dynamic environment, being flexible and willing to jump in and do whatever it takes to contribute to the success of your area.

~~Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.~~

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

The following represents the expected range of compensation for this role:

-  The estimated base salary range for this role is $168,000 - $220,500.

- Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.

To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

Senior Data Scientist - Product

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