דרושים Sr Applied Scientist Private Brands Intelligence - Sourcing Guidance ב-אמזון ב-United States, San Diego

We’re looking for someone who:
- Understands numbers intuitively: if the numbers don’t add up, you spot it first. If you find yourself or others repeating work, you automate it.- Has impeccable attention to detail, follow-through, and resourcefulness.Key job responsibilities
- Build and maintain automated reporting, dashboards, and produce value-added data analyses to enable executive decision making or a change in the status quo- Enable data access, literacy and self-sufficiency: You will automate manual data collection and manipulation traditionally done in Excel, and create robust data marts where stakeholders can easily generate business insights.

- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- 3+ years of SQL experience

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Job summaryThe Role:
As a Sr. DSP and Wireless Systems Engineer working in the Digital RF Systems team, you will be responsible for DSP architecture definition, design and simulation of DSP blocks in wireless communication SOCs that are used in Kuiper phased array systems. You will be implementing end-to-end system models including fixed point DSP blocks, RF impairments of the radio, phased array antenna and satellite channel. You will be involved in novel techniques to estimate and correct RF impairments that will be implemented in HW and FW. Based on the system level constraints such as low power and cost, you will develop optimized solutions to support high throughput for our customers.As a Sr. DSP Engineer, you will engage with an experienced cross-disciplinary staff to conceive and design innovative product solutions. You will work closely with internal inter-disciplinary teams such as ASIC/RFIC designers, FW/SW engineers, design verification engineers. You will drive key aspects of the silicon design as well as the entire RF line-up. You will support validation of the silicon in the lab and optimize RF performance via algorithms.In this role you will:
· Design and model DSP algorithms such as beamforming, MIMO, DPD, CFR, digital cancellation schemes and RF impairment compensation
· Model RF transceivers impairments and develop RF impairment compensation algorithms. Develop and optimize HW/SW calibration algorithms for RF SOC and phased array systems
. Architect HW and FW partitioning of calibration algorithms
. Develop detailed test plans and test procedures for pre-silicon, help with design verification as well as post silicon validation, integration and characterization of RF Wireless SOC performance
Export Control Requirement:

· 7+ years of relevant experience in wireless DSP/RF systems engineering (LTE, 5G-NR, WiFi 802.11, BLE)
. In depth knowledge of DSP design for low power consumption ASIC
. Experience with MATLAB, Python and/or C/C++ for fixed point DSP algorithm development, modeling and simulation
. Solid understanding of OFDM, AGC, beamforming algorithms, MIMO, channel estimation, equalization techniques
. Solid understanding of RF blocks and components
. Experience in RF impairment estimation and compensation techniques
. Working knowledge of FW implementation of various DSP algorithms
. Experience in using lab equipment, bring-up and validation of chip
· MSEE/PhD is highly preferred with emphasis on digital signal processing and wireless communication systems

. Strong background in Communication Theory (signal estimation and detection, AGC, channel estimation), OFDM, MIMO, Digital/Wireless Communication Systems and engineering
. Extensive experience in designing low power/area digital signal processing blocks for Wireless RF SOCs
. Excellent understanding of RF architectures and blocks used in the Wireless SOCs
· MATLAB, Python, C++ experience with emphasis on fixed point modeling of DSP blocks, RF impairment modeling, RF calibration algorithm development, system performance simulations (EVM, ACRL, OOB emissions)
. Experience with bit-accurate modeling to match RTL implementations, emulations, FW development
. Familiarity with phased array systems and phased array performance optimization techniques
. Experience in silicon bring-up in the lab and using lab equipment such as vector spectrum analyzer, signal generators, high speed scopes and logic analyzers

Key job responsibilities
* Design, build, and deploy machine learning models, frameworks, and data pipelines
* Optimize ML training, inference, and evaluation workflows for reliability and performance
* Evaluate and improve ML model performance and metrics
* Develop tools and infrastructure to enhance ML development productivity

* 3+ years experience building and deploying machine learning systems
* Experience with ML frameworks (e.g. PyTorch, TensorFlow) and ML orchestration tools
* Proven track record of improving ML systems, performance, and workflows

* Experience building and optimizing production-grade AI systems, e.g., for self-driving, simulation, or LLM applications
* Willingness to step outside typical role boundaries to get things done — every member of technical staff is expected to write code, design experiments, and interpret results
* Capacity to work autonomously and with a small team to drive research progressPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

NOTE: This position shall primarily support second shift operations (~1430hrs - 2230hrs). In future, there may be rotation with first shift operations.Key job responsibilities
- Actively support and foster a culture of inclusion.
- Own Process optimization and cost reduction initiatives for sustaining processes.
- Perform critical process reviews including Risk and Hazard assessments.
- Development and Validation of processes specific to NPI programs.
Benefits summary:1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- Bachelor’s degree in Mechanical Engineering, Industrial Engineering or related discipline.
- 5+ years’ experience in manufacturing environment and knowledge of GMP.
- Experience with Project Management tools.
- Experience in New Product Introduction environment including Phase-Gate process experience.
- Experienced CAD user, demonstrated capabilities in AutoCAD and SolidWorks.
- Experience using industry Problem Solving Tools such as 8D, Fishbone/Cause-Effect, or CAPA methodology.
- Experience using Quality & Statistical tools such as PFMEA, control charting, pareto, and histograms.
- Experience and proven skill in written and verbal business communications, organizational communications, reporting metrics.

- MBA or advanced Engineering degree preferred.
- Proven ability to manage and deliver projects with accelerated schedules.
- Proven analytical approach to problem-solving.
- Experience in manufacturing / process improvement (eg. Lean-Six Sigma).
- Experience with Manufacturing Execution Systems (MES), ERP systems, and Tool / Equipment programming.
- Self-motivated and able to solve problems independently and in team settings.
- Experience with Process Optimization Tools including Programming, Mapping, Simulation or various algorithms.

interviewing tips on Instagram, and discover projects we're solving on our Blog.About the RoleYou will report to the Applied Science Manager on the Community Discovery Team.You can work in San Francisco, CA or Seattle, WA.You Will- Develop ML algorithms for recommendations, ranking and search problems that can improve discovery on Twitch.

- BS or MS or PhD in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, with relevant industry experience. We welcome applicants with non-traditional backgrounds. We welcome applicants with non-traditional backgrounds.
- Hands-on experience with predictive modeling and analysis to solve real-world problems.
- Proficiency with Python and Deep Learning Frameworks such as PyTorch or Tensorflow, basic proficiency with SQL.

- MS/PhD in relevant fields or a Degree with a specialization in Machine Learning.
- Experience shipping your models to production.
- 1+ years of experience working in recommendations or search.
- Papers in top ML conferences of journals such as Neurips, Recsys, ICLR, ICML etc.
- Familiarity with Twitch, its business, and its community.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

About the Role:
You Will:
- Build and maintain the services that power Twitch’s video platform- Contribute positively to Twitch’s engineering culture

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- 5+ years of professional software development or equivalent expertise.
- B.A. or B.S. in Computer Science or a related discipline, or equivalent years of experience
- Experience building backend services at scale with technologies such as Golang and AWS
- Experience serving as a technical leader of a team of software engineers

- Familiarity with video delivery concepts and systems
- Familiarity with AWS’ Interactive Video Service
- Familiarity with Twitch, gaming, and/or streaming on TwitchPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Key job responsibilities
- Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and generative AI for robotics
- Tackle challenging, groundbreaking research problems on production-scale data, with a focus on robotic perception, manipulation, and control

- Are enrolled in a Bachelor's degree or above
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language

- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of resultsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.