Search By
89 Jobs
Machine Learning Engineer Braintrust San Francisco, CA | Full Time
7 Days Ago
Machine Learning Engineer 2K Novato, CA | Full Time
3 Days Ago
Senior Machine Learning Engineer Chainalysis New York City, NY | Full Time | Remote
3 Days Ago
Machine Learning (ML) Engineer Altamira Crystal City, VA | Full Time
3 Days Ago
Senior Machine Learning Engineer Cavnue Detroit, MI | Full Time
4 Days Ago
Machine Learning Engineer America First Credit Union OGDEN, UT | Full Time
4 Days Ago
Machine Learning Engineer Robert Half International Inc. SAN RAMON, CA | Full Time | Remote
5 Days Ago
Machine Learning Engineer By Light Professional IT Services LLC Orlando, FL | Other | Remote
11 Days Ago
Machine Learning Engineer Kitware Minneapolis, MN | Full Time
11 Days Ago
Machine Learning Engineer Kitware Carrboro, NC | Full Time
11 Days Ago
Machine Learning Engineer Kitware Santa Fe, NM | Full Time
11 Days Ago
Machine Learning Engineer Kitware Clifton Park, NY | Full Time
11 Days Ago
Machine Learning Engineer 42 NuComm Italy Srl Italy, TX | Full Time
11 Days Ago
Machine Learning Engineer Kitware Arlington, VA | Full Time
11 Days Ago
Machine Learning Engineer Amivero Washington, DC | Full Time
16 Days Ago
Machine Learning (ML) Engineer Altamira Ft Belvoir, VA | Full Time
17 Days Ago
Machine Learning (ML) Engineer Altamira Ft Bragg, VA | Full Time
17 Days Ago
Senior Machine Learning Engineer Xero Toronto, CA | Full Time
19 Days Ago
Senior Machine Learning Engineer Xero Remote, CA | Full Time
19 Days Ago
Machine Learning Engineer Xometry Inc. San Diego, CA | Full Time
19 Days Ago
Machine Learning Engineer Xometry Inc. Lexington, KY | Full Time
19 Days Ago
Machine Learning Engineer Xometry Inc. Boston, MA | Full Time
19 Days Ago
Machine Learning Engineer Xometry Inc. Bethesda, MD | Full Time
19 Days Ago
Machine Learning Engineer Xometry Inc. New York City, NY | Full Time
19 Days Ago
Machine Learning Engineer Xometry Inc. Seattle, WA | Full Time
19 Days Ago
More Search Results

Machine Learning Engineer

San Francisco, CA | Full Time
7 Days Ago

Job Description

  • JOB TYPE: Freelance, Contract Position (no agencies/C2C - see notes below)
  • LOCATION: Remote - United States only (TimeZone: PST/CIST | Partial overlap)
  • HOURLY RANGE: Our client is looking to pay $125 – $145/hr
  • ESTIMATED DURATION: 40h/week - Long-term 


ABOUT US:

Braintrust is the only network that gives in-demand talent all the freedom of freelance with all the benefits, community, and stability of a full-time role. As the first decentralized talent network, our revolutionary Web3 model ensures the community that relies on Braintrust to find work are the same people who own and build it through the blockchain token, BTRST. So unlike other marketplaces that take 20% to 50% of talent earnings, Braintrust allows talent to keep 100% of earnings and to vote on key changes to improve the network. Braintrust is working to change the way freelance works – for good.

We've onboarded some of the world's most reputable brands and now we need a Machine Learning Engineer for one of our clients.  

 

THE OPPORTUNITY

What you’ll be working on

Are you fascinated by machine learning and building robust machine learning pipelines which process massive amounts of data at scale and speed to provide crucial insights to the end consumers?


This is exactly what our client do.  Their mission is to partner with their Machine Learning Science counterparts to use AI/ML to collaboratively transform our client’s data assets into intelligent and real-time insights to support a variety of applications which are used by 1000 market managers, analysts, their supply partners, and their travelers. Their work spans across a variety of datasets and ML models and across a diverse technology stack ranging from Spark, SageMaker, Airflow, DataBricks, Kubernetes, AWS and much more!

Position Requirements
• Python, Scala
• Kafka, Structured Streaming, Kinesis
• Spark, Hadoop and Hive
• Industrial Software Engineering Experience – CI/CD, Unit Testing, Working on projects with multiple team members.

• Good understanding of machine learning pipelines and machine learning frameworks such as TensorFlow and PyTorch.
• Familiar with cloud services like AWS, Azure and workflow orchestration tools (e.g., Airflow).
• Experienced in using SQL for querying data from relational tables.
• Degree with strong technical focus (Computer Science, Engineering).

Responsibilities
• Ability to write robust code in one or more of Python, Java and Scala
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
• Experience using Amazon Web Services (EC2, S3 etc) with data at scale
• Proficient in core technologies like Spark, Hadoop and Hive.
• Excellent communication skills
• Ability to work in a team
• Design, develop, debug, and modify components of machine learning and deep learning systems and applications, including data pipelines.
• Develop and tune model training and inference systems.
• Complete documentation and procedures for installation and maintenance.
• Actively participate in group technology reviews to critique work of self and others.
• Work collaboratively with all members of technical staff. Collaborate with data scientists, program managers, and product managers in the development of assigned components.
• Participate in and provide input to requirements definition.
• Run machine learning tests and experiments
• Implement appropriate ML algorithms
• Study and transform data science prototypes
• Research and implement appropriate ML algorithms and tools
• Select appropriate datasets and data representation methods
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks Qualifications
• Proven experience as a Machine Learning Engineer or similar role: 4-5 years of experience in software development.
• Understanding of data structures, data modeling and software architecture
• Knowledge of math, probability, statistics and algorithms
• Knowledge of streaming platforms like Kafka and Kinesis.
• Basic knowledge of various ML model platforms.
• Experience standing up model inferencing API endpoints.
• Exposure to No SQL databases like MongoDB.
• Experienced in using SQL for querying data from relational tables.
• Excellent analytical and problem solving skills with an aptitude for troubleshooting issues.
• Degree with strong technical focus (Computer Science, Engineering).

Apply Now!

ABOUT THE HIRING PROCESS:

Qualified candidates will be invited to do a screening interview with the Braintrust staff. We will answer your questions about the project, and our platform.  If we determine it is the right fit for both parties, we'll invite you to join the platform and create a profile to apply directly for this project.  

C2C Candidates: This role is not available to C2C candidates working with an agency. But if you are a professional contractor who has created an LLC/corp around your consulting practice, this is well aligned with Braintrust and we’d welcome your application.  

Braintrust values the multitude of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.


Company Overview

  • Website braintrustlv.com
  • Headquarters LAS VEGAS, NV
  • Size 50 - 100
  • Founded 2000
  • Type Private
  • CEO MONA STECK
  • Revenue $10M - $50M
  • Industry Retail & Wholesale
  • About braintrust
  • The Settings by Mona collection of fine custom linens was founded and created by designer Mona Steck in early 2000. Following the success of the Settings by Mona retail collection, Mona began designing custom linens for the Hospitality industry. Settings by Mona can now be seen in the most prestigious properties worldwide. From five star hotels, casinos and resorts, spa's, boutique hotels, country and gold clubs, restaurants yachts, private aviation as well as special event and meeting room venues including The White House. Settings by Mona offer's cutting edge design using innovative textiles ... produced especially for commercial use, constructed with the same unsurpassed dedication to quality as the retail collection. Settings by Mona are committed to creating custom linens that are as durable as they are beautiful. We collaborate one on one with an individual property's Designer and/or Executive Management to artistically translate their vision and concept into reality. Our goal is to create one of a kind linens, that are unique and exclusive to each property. Some of our Hospitality Projects include Wynn and Encore Las Vegas, Wynn Macau, The Cosmopolitan Las Vegas, Mirage Hotel & Casino, Las Vegas, Bellagio Hotel & Casino, Mandarin Oriental Las Vegas,The Little Nell, Aspen, Peninsula Beverly Hills,The Venetian Hotel & Casino, Las Vegas, The Resort at Pelican Hill, Newport Beach, Shutters on the Beach, Santa Monica, The Island Hotel, Newport Beach, Vdara Hotel, Las Vegas, Solaire Hotel & Resort, Manila, Hard Rock Hotel & Casino, Mandalay Bay Hotel, and various Ritz Carlton Hotels. More

Skills for Machine Learning Engineer

The job skills required for Machine Learning Engineer include Machine Learning, Algorithms, Python, Deep Learning, Computer science,and AWS etc. Having related job skills and expertise will give you an advantage when applying to be a Machine Learning Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Machine Learning Engineer. Select any job title you are interested in and start to search job requirements.

Job Openings with Skill of Machine Learning
MORE>>
Job Openings with Skill of Algorithms
MORE>>
Job Openings with Skill of Python
MORE>>
Job Openings with Skill of Deep Learning
MORE>>
Job Openings with Skill of Computer science
MORE>>

Career Path for Machine Learning Engineer

The following is the career advancement route for Machine Learning Engineer positions, which can be used as a reference in future career path planning. As a Machine Learning Engineer, it can be promoted into senior positions as a Principal AI Engineer that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Machine Learning Engineer. You can explore the career advancement for a Machine Learning Engineer below and select your interested title to get hiring information.