Exploring Entry-level ML Engineer Salary in the US

Artificial
intelligence
has
become
a
powerful
force
of
change
in
the
world,
and
its
transformative
impact
is
evident
across
different
industries.
Therefore,
machine
learning
engineering
has
been
gaining
popularity
as
a
promising
choice
for
career
development
as

AI
professionals.
You
might
have
multiple
questions
about
ML
engineer
salary
in
US,
as
machine
learning
engineering
is
one
of
the
fastest-growing
fuels
for
career
development.

Machine
learning
engineers
help
design
and
develop
complex
algorithms
that
help
organizations
make
the
most
of
AI.
Machine
learning
engineers
are
the
reason
for
easier
access
to
a
wide
range
of
AI-powered
solutions
for
different
tasks,
such
as

natural
language
processing
and
predictive
analytics.
Do
you
ever
wonder
how
much
you
can
make
as
a
machine
learning
engineer?
Let
us
find
the
answer
with
a
detailed
guide
on
ML
engineer
salaries
in
the
US.

What
is
the
Work
of
Machine
Learning
Engineers?

Machine
learning
or
AI
engineers
are
the
backbone
of
the
rapidly
growing
AI
ecosystem.
Before
you
look
for
predictions
or
estimates
about
AI
engineer
salary
in
US,
it
is
important
to
learn
what
you
would
have
to
do
as
an
AI
engineer.
Machine
learning
engineers
design
and
create
algorithms
to
help
machines
learn
from
data
and
come
up
with
smart
decisions.

The
primary
responsibility
of
ML
engineers
involves
working
with
larger
datasets
for
identification
of
important
patterns,
development
of
models,
and
deploying

machine
learning
algorithms.
Machine
learning
engineers
must
also
focus
on
maintenance
of
AI
systems
to
ensure
that
they
work
accurately
and
deliver
relevant
results. 

The
responsibilities
of
ML
engineers
could
also
include
data
pre-processing,
feature
engineering,
model
selection,
and
evaluation
and
deployment
of
models.
The
estimates
for
machine
learning
engineer
salary
per
month
also
draw
attention
to
skills
required
to
work
with
different
types
of
technologies
such
as
Python
and
machine
learning
libraries
such
as

TensorFlow.
On
top
of
that,
the
work
of
ML
engineers
also
involves
collaboration
with
other
professionals,
such
as
data
scientists,
business
analysts,
and
software
developers.

What
is
the
Average
Salary
of
a
Machine
Learning
Engineer?

A
simple
search
on
the
internet
would
show
you
different
estimates
for
ML
engineer
salaries
on
different
platforms.
The
answers
to
“What
is
the
salary
of
a
beginner
machine
learning
engineer?”
would
depend
on
different
factors,
such
as
skills,
location,
the
organization
you
work
with,
and
experience.
Interestingly,
machine
learning
engineering
is
one
of
the
highest-paying
jobs
in
the
world.

Popular
professional
job
portals,
such
as
Glassdoor
and
PayScale,
report
that
the
average
base
salary
of
machine
learning
engineers
ranges
between
$78,000
and
$154,000.
You
can
also
earn
up
to
$280,000
with
more
experience
in
machine
learning
engineering.
The
benefits
of
a
career
in
machine
learning
engineering
also
include
bonuses,
profit-sharing,
and
stock
options
in
bigger
companies. 

Develop
an
in-depth
understanding
of
Large
Language
Models
and
prompt
engineering
techniques
with

Certified
Prompt
Engineering
Expert
(CPEE)™
Certification

Impact
of
the
Growth
of
Machine
Learning
Industry
on
Salary

The
salary
of
machine
learning
engineers
in
the
US
can
serve
as
an
appealing
invitations
to
pursue
a
career
in
ML
engineering.
However,
it
is
important
to
find
out
whether
machine
learning
engineering
jobs
would
offer
promising
prospects
for
growth.
Forbes
has
pointed
out
that
jobs
in
AI
and
machine
learning
will
grow
by
almost
40%
in
the
next
decade. 

Therefore,
you
can
expect
substantial
growth
in
entry-level
machine
learning
engineer
salary
estimates
in
the
future.
Market
research
reports
have
pointed
out
that
the
global
machine
learning
market
capitalization
might
cross
$36
billion
by
2028.
On
top
of
it,
the
machine
learning
industry
is
one
of
the
most
powerful
catalysts
for
change
in
almost
all
business
domains,
including
financial
services
and
healthcare.

Machine
learning
and
artificial
intelligence
have
become
integral
parts
of
our
everyday
lives.
For
example,
AI
and
ML
drive
the
functionalities
of
virtual
assistants
like
Alexa
and
Siri
and
offer
personalized
content
on
social
media
feeds.
As
businesses
generate
more
data,
they
would
need
professionals
to
help
them
utilize
data
to
improve
AI
systems.
Therefore,
the
demand
for
machine
learning
engineers
would
grow
with
companies
being
ready
to
pay
more
salaries
than
other
roles. 

Enroll
now
in
the ChatGPT
Fundamentals
Course and
dive
into
the
world
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prompt
engineering
with
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How
Does
Experience
Influence
the
Salary
of
ML
Engineers
in
the
USA?

The
experience
of
an
ML
engineer
is
the
most
crucial
factor
that
has
a
formidable
influence
on
their
salary.
Talented
developers
or
engineers
transitioning
to
a
career
in
machine
learning
would
notice
promising
improvements
in
salary.
On
the
other
hand,
you
can
earn
more
salary
with
more
experience
in
the
field
of
machine
learning. 

The
variations
in
ML
engineer
salary
in
US
on
the
basis
of
experience
also
draw
attention
to
the
specialized
skills
of
experienced
professionals.
Let
us
find
out
how
much
you
can
earn
as
a
machine
learning
engineer
at
different
levels
of
professional
experience,
alongside
an
overview
of
skills
required
at
each
level.

• 
  Salary
  of
  Entry-Level
  Machine
  Learning
  Engineer

Any
candidate
exploring
career
paths
in
machine
learning
engineering
for
the
first
time
is
likely
to
start
with
entry-level
roles.
Many
companies
want
beginners
to
train
them
in
the
use
of
their
AI
systems
and
workflows.
However,
you
can
be
eligible
for
an
entry-level
machine
learning
engineer
salary
with
professional
training
in
machine
learning.
You
must
also
have
a
certification
to
prove
your
machine
learning
expertise.
In
addition,
you
must
also
have
command
over
use
of
AI
systems
and
software
engineering.

The
salary
of
entry-level
ML
engineers
can
vary
from
$70,000
to
$132,000.
It
is
important
to
note
that
the
lower
end
of
the
salary
scale
is
higher
than
the
US
median
personal
income.
Therefore,
you
would
definitely
need
special
skills
at
the
fundamental
level
for
mastery
over
data
science. 

You
must
have
skills
in
data
modeling,
big
data
analytics,
and
image
processing,
as
well
as
the
ability
to
use
machine
learning
tools
and
frameworks.
Candidates
with
a
strong
foundation
in
Python
programming,
mathematics,
and
popular
machine
learning
frameworks
are
the
best
fit
for
entry-level
roles. 

• 
  Salary
  of
  Mid-Level
  Machine
  Learning
  Engineer

According
to
PayScale,
the
average
salary
of
mid-level
machine
learning
engineers
is
$144,000.
A
mid-level
machine
learning
engineer
has
around
five
to
ten
years
of
experience
in
the
domain
of
machine
learning.
The
estimates
for
mid-level
AI
engineer
salary
in
US
can
vary
between
$99,000
and
$180,000.
However,
the
growth
in
salary
also
demands
better
skills
from
machine
learning
engineers.
At
this
point
of
time,
you
should
have
many
other
skills
beyond
the
fundamental
requirements
for
machine
learning
jobs.

Mid-level
machine
learning
engineers
must
have
an
in-depth
understanding
of
machine
learning
concepts
such
as

deep
learning
and
neural
networks.
In
addition,
you
would
need
specialized
expertise
in
machine
learning
frameworks
such
as
Keras
or
PyTorch.
On
top
of
that,
you
should
also
know
how
to
program
in
an
additional
language
such
as
JavaScript
or
C++.
Mid-level
machine
learning
engineers
must
also
have
skills
for
working
with
cloud
platforms
and
distributed
computing. 

• 
  Salary
  of
  Senior-Level
  Machine
  Learning
  Engineer

Senior-level
machine
learning
engineers
are
professionals
with
more
than
ten
years
of
professional
experience.
The
average
salary
of
senior
machine
learning
engineers
is
around
$150,000.
It
is
more
than
the
answers
to
“What
is
the
salary
of
a
beginner
machine
learning
engineer?”
for
clearly
evident
reasons.
Senior
ML
engineers
have
more
experience
working
on
different
real-world
machine
learning
projects.
The
salary
estimates
for
senior
machine
learning
engineers
vary
between
$115,000
and
$204,000.

Senior
ML
engineers
are
likely
to
land
up
with
director-level
or
leadership
roles.
The
skills
of
senior
ML
engineers
include
broader
knowledge
of
different
AI
techniques
and
fluency
in
various
programming
languages.
In
addition,
they
must
also
have
the
expertise
required
to
design
highly
scalable
AI
systems.
On
top
of
it,
senior
ML
engineers
are
expected
to
know
about
the
important
regulatory
and
compliance
requirements.    

Identify
new
ways
to
leverage
the
full
potential
of
generative
AI
in
business
use
cases
and
become
an
expert
in
generative
AI
technologies
with Generative
AI
Skill
Path

How
Does
the
Type
of
Organization
Determine
the
Salary
of
US
Engineers?

The
type
of
organization
you
work
for
also
serves
as
a
major
factor
in
determining
the
salary
of
US
engineers.
You
can
find
many
variations
in
machine
learning
engineer
salary
per
month,
depending
on
the
industry
in
which
you
work.
The
software
and
IT
services
industry
pays
around
$135,000
for
ML
engineers,
while
the
consumer
goods
industry
can
earn
almost
$150,000.
Here
is
an
outline
of
the
average
salary
of
ML
engineers
in
different
industries.

• 
  Education-
  $103,000.
• 
  Healthcare-
  $120,000.
• 
  Hardware
  and
  networking-
  $133,000.
• 
  Manufacturing-
  $103,000.
• 
  Finance-
  $120,000.

In
addition,
organizations
that
have
huge
investments
in
AI
and
ML
could
pay
more
to
ML
engineers.
For
example,
Google
pays
almost
$148,000
to
machine
learning
engineers,
and
Facebook
pays
around
$192,000.
Amazon
leads
the
pack
with
highest
salary
of
$254,000
for
ML
engineers.

Final
Words

The
review
of
the
estimates
for
ML
engineer
salary
in
US
showcases
that
you
can
explore
favorable
prospects
for
career
development
in

machine
learning.
As
an
entry-level
machine
learning
engineer,
you
can
earn
up
to
$150,000
per
year.
Subsequently,
you
can
improve
your
earning
potential
by
gaining
experience
and
improving
your
skills.

In
addition,
it
is
also
important
to
pay
attention
to
the
type
of
organization
you
want
to
work
with
when
seeking
higher
salary
packages.
Machine
learning
engineering
offers
the
benefit
of
securing
your
career
against
the
tide
of
changes
in
AI
in
the
future.
Discover
the
opportunities
for
career
development
in
machine
learning
with
the
help
of
professional
training
and

AI
certification
right
now.