Senior Machine Learning Engineer

Yahoo
Sunnyvale, CA, United States
11 days ago
Apply on arc.dev
Prepare application

Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Experience level
Expert
Experience required
4 years minimum
Compensation
$128,250.0 - $266,875.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Artificial Intelligence Data Analysis Python (Programming Language) Machine Learning Natural Language Processing Deep Learning Information Technology

Job description

  • Understand the technical challenges of a real world problem. Think and formulate problems from first principles and map them to one or more Machine Learning paradigms
  • Utilizing strong communication skills, iteratively discuss technical ideas cross-functionally
  • Define technical requirements, which involves but is not limited to, data collection, evaluation mechanism and production serving strategy
  • Based on product requirements, design and implement ML-based solutions and systems that can scale and evolve over time
  • Analyze data and identify patterns to inform further development
  • Produce technical reports and documentation targeted to both technical and
  • non-technical audiences
  • Stay updated on industry trends and advancements in technology such as large language and vision models, and generative AI

Requirements

a passion for solving complex problems, and the commitment to implement durable solutions quickly and effectively. If you enjoy being part of high-performing teams, this role is for you!, * 4+ years of track record driving impact in the industry and related experience

  • Master’s degree or Ph.D. in Computer Science, Electrical Engineering, Statistics,
  • Applied Math or related discipline; or, equivalent experience
  • Expertise in AI, machine learning, deep learning and natural language processing
  • Expertise in Java and Python

The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies; exercising sound judgment; working effectively, safely and inclusively with others; exhibiting trustworthiness and meeting expectations; and safeguarding business operations and brand integrity.

Benefits & conditions

The compensation for this position ranges from $128,250.00 - $266,875.00/yr and will vary depending on factors such as your location, skills and experience.The compensation package may also include incentive compensation opportunities in the form of discretionary annual bonus or commissions. Our comprehensive benefits include healthcare, a great 401k, backup childcare, education stipends and much (much) more.

About the company

Yahoo Research is at the forefront of developing intuitive, intelligent, and forward-looking products across our brand portfolio. We harness AI and emerging technologies to shape the next generation of Yahoo, hiring world-class engineers to support our ambitious product and platform goals. Our engineers thrive in a highly collaborative environment with a strong emphasis on technical excellence and innovation. This is a unique opportunity as we reimagine the future of Search, reinventing how users find information and accomplish their goals. To achieve this vision, we are integrating new technology and expanding our infrastructure. This role demands strategic partnership, analytical thinking, exceptional planning and execution skills, ambitious innovation, an obsession with quality and user needs

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on arc.dev
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

1:25 min

Distinguishing artificial intelligence from deep learning

Sam Witteveen · Coffee With Developers

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

3:51 min

Overcoming hardware configuration barriers in machine learning

Jose Luis Latorre Millas · LIVE

1:36 min

Performing exploratory data analysis to uncover underlying patterns

Julian Joseph · LIVE

Videos

See all

Related articles

See all