aiml - sr machine learning engineer, modeling evaluation & data

asic design engineer ii, cloud-scale machine learning acceleration team

math teacher or coach for math counts & amc 8/10/12 (summer camp - online / onsite)

aiml - sr machine learning engineer, modeling evaluation & data Jobs in Cupertino

asic design engineer ii, cloud-scale machine learning acceleration team Jobs in Cupertino

aiml sr machine learning engineer modeling evaluation data

Apple

At Apple, we blend world-class hardware, software, and services to produce a tight ecosystem of products used by billions of people around the world. 
 
Machine Learning and AI models are integrated throughout our ecosystem to enhance the user experience. Ensuring a delightful end to end user experience requires well-thought out data curation, rigorous evaluation methodology, and a high signal north star metric. 
 
Guiding feature development across the entire product life cycle requires partnering closely with modeling teams, engineers, design, and others. At Apple&rsquo;s scale, it&rsquo;s paramount that methods scale across platforms, user-model mediums, and languages. 
 
Description 
 
Advance the performance of Apple Intelligence Large Language Models, across Apple platforms, languages, and modalities. 
 
Advise the data training and product roadmap for Foundation Models. Source novel datasets and run ablation studies to inform training hill-climbing. 
 
Identify high signal relevant public benchmark datasets to guide model development. Prototype and productionalize LLM-based applications to improve model development life cycle. 
 
Design detailed evaluation methodologies in close partnership with engineering and product teams to support critical go/no-go decisions. 
 
Develop and evangelize robust metrics for hillclimbing. Regularly present to partner teams and executive sponsors, both at a technical and high level. 
 
Preferred Qualifications 
 
Strong communication skills and experience persuading both technical audiences and high level executive audiences. 
 
Passion for Apple products. 
 
Minimum Qualifications 
 
Bachelors degree and 7+ years of work experience in Data Science, Machine Learning, or Engineering. 
 
Experience training and evaluation LLMs. 
 
Strong intuition for metrics, including their strengths and shortcomings. 
 
A track record of positive impact on shipped products. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

AIML - Sr Machine Learning Engineer, Modeling Evaluation & Data

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago&mdash;even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. 
 
Diverse Experiences 
Annapurna values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
 
 
Inclusive Team Culture 
Here at Annapurna, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 
 
Mentorship &amp; Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 
 
 
 
Key job responsibilities 
<ul><li>integrate multiple subsystems into top level SOC, ensure correct clock/reset/functional/DFT signal routing</li><li>As a key member of the ASIC design team, you will implement and deliver high performance, area and power efficient RTL to achieve design targets and specifications.</li><li>Analyze design, microarchitecture or architecture to make trade-offs based on features, power, performance or area requirements.</li><li>Develop micro-architecture, implement SystemVerilog RTL, and deliver synthesis/timing clean design with constraints.</li><li>Perform lint and clock domain crossing quality checks on the design.</li></ul>
- Work with with architects, other designers, verification teams, pre- and post-silicon validation teams, synthesis, timing and back-end teams to accomplish your tasks. 
 
You will thrive in this role if you: 
<ul><li>Are familiar with scripting in Python</li><li>Are proficient with assertions</li><li>Have good debug skills to analyze RTL test failures</li><li>Have a &quot;Learn and Be Curious&quot; mindset</li></ul> 
About the team 
Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you&rsquo;ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we&rsquo;re handling massive scale and rapid integration of emergent technologies. We&rsquo;re looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs. 
 
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we&rsquo;re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree in Electrical Engineering or a related field</li><li>5+ years in RTL design for SOC</li><li>5+ years in VLSI engineering</li><li>5+ years with code quality tools including: Spyglass, LINT, or CDC</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Master's degree in electrical engineering, computer engineering, or equivalent</li><li>Experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints</li><li>Experience with automation and scripting languages such as Python</li><li>Familiarity with data path design, interconnects, AXI protocol</li><li>Good analytical, problem solving, and communication skills</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Cupertino - 157,300.00 - 212,800.00 USD annually 
USA, TX, Austin - 136,000.00 - 184,000.00 USD annually</div>

ASIC Design Engineer II, Cloud-Scale Machine Learning Acceleration team

AC Wellness

<div>SUMMARY
At AC Wellness, our entire focus is to deliver compassionate, effective healthcare to the Apple employee population. We believe that trusting, accessible relationships with our patients, enabled by technology, promotes high quality care and a great patient experience. This is fostered by an environment of continuous learning and teamwork, which in turn allows us to work with our patients to achieve exceptional health outcomes.
The Registered Nurse works to create a frictionless experience for all patients. The RN performs all steps of the nursing process including assessing patients, interpreting data, planning, implementing, and evaluating care; coordinating care with other providers; and teaching the patient and family the knowledge and skills needed to manage their care to prevent complications.
Using the latest in evidence based practice, cutting edge technology and the power of a dedicated, supportive team, the RN collaborates with patients and providers to create healthcare that empowers patients to take an active role in their health. Our nurses research, learn, teach and inspire.
This position will be a 4x10 shift, Monday-Friday from 8am-6:30pm with one weekday off. 
ESSENTIAL JOB FUNCTIONS<ul><li>
Applies the nursing process to evaluate patient health. This may include scheduled visits, walk-in patients and patient contact through phone or other remote technology, including outreach calls when patient&rsquo;s chief complaints in appointment notes warrant further triage.</li><li>
Assists with high acuity office visits: Initial patient intake, Point of care testing, Wound care, Assisting in procedures, Blood draws, EKGs, Discharge education and follow-up</li><li>
Collaborates with team members to implement a plan of care appropriate to the current situation. Obtains medical records as necessary</li><li>
Provides clinical oversight and training to Medical Assistants. Will fill in for all MA tasks as needed, including rooming for providers and inbox coverage.</li><li>
Triages patients (phone, chat, walk-in); Coordinates same-day care and continuing care with respective care team and/or services appropriately; Educate and counsel patients on treatment options based on their reported signs, medical history and symptoms; Follow up with patients who have been deferred to ER or urgent care.</li><li>
Collaborates with other RNs and delegates to MAs where appropriate to cover daily RN schedule</li><li>
Utilizes scope of existing standing orders and applicable nursing diagnoses.</li><li>
Dispenses and administers medications.</li><li>
Manage medication refills for care team. When appropriate, submits refills in accordance with existing standing orders and completes prior authorizations</li><li>
Implements appropriate patient education programs to meet the individual health care needs.</li><li>
Assess patient complaints that might be escalated from Care Navigators, Care Coordinators. and Medical Assistants</li><li>
Prioritize live phone calls from pharmacies, laboratories and specialists offices, etc</li><li>
Work closely within care team to close patient care gaps and meet established quality metrics for patient care</li><li>
Documents all patient interactions following clinic guidelines.</li><li>
Continually evaluates overall patient care flow and intervenes to maintain optimum time lines.</li><li>
Anticipates potential problems/obstacles in daily operations and intervenes effectively.</li><li>
Continually works to achieve the highest level of patient satisfaction.</li><li>
Maintains the strictest confidentiality.</li></ul> 
The essential job duties outlined above will be performed in the following areas of service, as assigned, and may include the additional duties outlined below:<ul><li>
Travel RN - Coordinate delivery of services specific to travel.</li><li>
Dermatology RN - Coordinate delivery of dermatology services.</li><li>
Pathways Program RN - Provide education and treat to target services for program participants enrolled in care pathways. Accountable for health outcomes of a defined population. Works closely with the Population Health RN to identify eligible patients, to monitor defined health metrics and provide outreach to improve patient outcomes.</li><li>
Population Health RN - improving the health status and care for individuals with chronic conditions; potentially complex medical, mental health, and psychosocial issues</li><li>
Research RN - Functions as a registered nurse in support of research projects within the medical group and in collaboration with outside partners. In doing so they assess and treat research subjects per project guidelines and applicable standardized procedures.</li></ul> 
NON-ESSENTIAL JOB FUNCTIONS<ul><li>
Makes suggestions for improving operations and workflows and implementing efforts to improve the quality of care in a cost-effective manner.</li><li>
Engages in other duties as assigned</li></ul> 
QUALIFICATIONS AND REQUIREMENTS<ul><li>
Current California RN license.</li><li>
Registered Nurse degree from accredited school.</li><li>
3 years of clinical experience.</li><li>
Current Basic Life Support (BLS) for health care provider.</li><li>
Compliance with AC Wellness Occupational Health Policy, including required immunizations.</li><li>
Demonstrates comfort and enthusiasm for new methods of care delivery using technology.</li><li>
Models excellent communication and problem solving skills with all staff, patients, providers and others by using a positive team approach.</li><li>
Promotes excellent teamwork, working cross functionally across roles and clinics</li><li>
Serves as a role model for professional behavior in the delivery of patient care.</li></ul></div>

Nurse Coordinator (RN)

Explore 3+ Aiml sr machine learning engineer modeling evaluation data in Cupertino this April. Find roles across top companies and apply now to boost your career.

3 aiml sr machine learning engineer modeling evaluation data jobs In Cupertino

AIML - Sr Machine Learning Engineer, Modeling Evaluation & Data

ASIC Design Engineer II, Cloud-Scale Machine Learning Acceleration team

Nurse Coordinator (RN)