Algorithm Development Scientist

Algorithm Development Scientist

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product. Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple's customers every single day. Apple's Biophotonics group is seeking an experienced scientist to collaborate with an R&D team developing a new generation of bio-sensing technologies. Within Biophotonics, you will be part of a team with expertise in biophotonic sensor characterization and debug, clinical study design, clinical operations, multivariate analysis of sensor data and algorithm development.

Description

You will be responsible for developing advanced sensing algorithms from multichannel biosensor data. This will involve human study data analysis, algorithm prototyping, and assessing algorithm performance requirements. You will work cross-functionally with other engineering teams, most closely with SW engineering, to refine requirements, develop specifications and verify on-device implementation. This is a hands-on role; you will be in the lab collecting data and testing algorithm prototypes in real time as well as analyzing larger data sets offline.

Minimum Qualifications

BS in Electrical Engineering, Applied Math or Physics, or related field

Background in image/signal processing, estimation/inference, or machine learning

Engineering math background (e.g. applied linear algebra, probability)

Programming skills in high level languages like Python/Matlab

Preferred Qualifications

10+ years of relevant industry experience

MS or PhD in Electrical Engineering, Applied Math or Physics, or related field

Multi-disciplinary understanding of statistical analysis and optical physics principles

Skilled in training/validation for algorithm features using sensor data, and establishing quantitative algorithm performance benchmarks

Knowledge of algorithm optimization for HW constraints (compute, memory, power)

Familiarity with analyzing large datasets and developing data processing pipelines

Experience with measuring, interpreting and debugging human physiological signals

Excellent written and verbal communication skills

Pay & 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.

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.